CN112561389B - Method and device for determining detection result of equipment and electronic equipment - Google Patents
Method and device for determining detection result of equipment and electronic equipment Download PDFInfo
- Publication number
- CN112561389B CN112561389B CN202011556634.7A CN202011556634A CN112561389B CN 112561389 B CN112561389 B CN 112561389B CN 202011556634 A CN202011556634 A CN 202011556634A CN 112561389 B CN112561389 B CN 112561389B
- Authority
- CN
- China
- Prior art keywords
- equipment
- sample
- devices
- detection
- detection result
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 537
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000007689 inspection Methods 0.000 claims description 30
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims 4
- 238000012800 visualization Methods 0.000 claims 4
- 230000005856 abnormality Effects 0.000 description 27
- 230000002159 abnormal effect Effects 0.000 description 11
- 238000012163 sequencing technique Methods 0.000 description 8
- 230000000007 visual effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Telephonic Communication Services (AREA)
Abstract
The application provides a method and a device for determining a detection result of equipment and electronic equipment. The method comprises the following steps: receiving a device detection task sent by a server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices; determining a real detection result of the sample equipment based on the identification of the sample equipment; determining the true detection result of other devices except the sample device based on the identification of the other devices in the plurality of devices; generating detection information of a sample based on the real detection results of the sample equipment and the real detection results of other equipment; and sending detection information of the sample to a server. The application can improve the accuracy of equipment detection.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for determining a device detection result, and an electronic device.
Background
With the popularization of the unattended mode, the safety inspection of outdoor equipment becomes more and more important, so how to perform the safety inspection in a reasonable manner is always a concern.
The current inspection mode is as follows: the inspection is carried out in a sampling mode, a set number of devices are used as one sample, one sample device is designated in each sample, and the detection result of each device in the sample is represented by the detection result of the sample device. In practice, however, only the sample device may fail and other devices in the sample are normal, and the detection result of each device in the sample represented by the detection result of the sample device is inaccurate, which seriously affects many subsequent operations based on the detection result of the sample.
Disclosure of Invention
The application provides a method and a device for determining a device detection result and electronic equipment, which can solve the problem of low accuracy of the device detection result. The technical proposal is as follows:
a first aspect of the present application provides a method of determining a detection result of a device, the method comprising:
receiving a device detection task sent by a server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
determining a real detection result of the sample equipment based on the identification of the sample equipment; determining the true detection result of other devices except the sample device based on the identification of the other devices in the plurality of devices;
Generating detection information of a sample based on the real detection results of the sample equipment and the real detection results of other equipment;
and sending detection information of the sample to a server.
Optionally, generating the detection information of the sample based on the true detection result of the sample device and the true detection result of other devices includes:
determining a detection result of the sample based on the real detection results of other devices;
and taking the detection result of the sample and the real detection result of the sample equipment as detection information of the sample.
Optionally, determining the detection result of the sample based on the true detection result of the other device includes:
determining the proportion of positive example detection results and negative example detection results in the real detection results of other devices;
based on the proportion, the detection result with larger occupation in the real detection results of other devices is taken as the detection result of the sample.
A second aspect of the present application provides a method of determining a detection result of a device, the method comprising:
sending a device detection task to a terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
receiving detection information of a sample sent by terminal equipment; the detection information is generated based on the real detection result of the sample equipment and the real detection result of other equipment after the terminal equipment determines the real detection result of the other equipment based on the identification of the sample equipment and the identification of the other equipment in the plurality of equipment.
Optionally, the method further comprises:
taking the detection result of the sample in the detection information as the detection result of other equipment; the detection result of the sample is determined based on the real detection results of other devices;
and taking the real detection result of the sample equipment in the detection information of the sample as the detection result of the sample equipment.
Optionally, before sending the device detection task to the terminal device, the method further includes:
sequencing all the devices in the sample according to a set rule, and taking the device with the N before sequencing as sample device; n is an integer greater than 0; if the sample equipment meets the set condition, determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as sample equipment, circularly executing the steps of determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as the sample equipment to traverse all equipment until the last equipment after sorting is taken as the sample equipment and the set condition is met;
all devices in the sample are reordered according to the set rules.
A third aspect of the present application provides an apparatus for determining a detection result of a device, the apparatus comprising:
The first receiving module is used for receiving the equipment detection task sent by the server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
the first determining module is used for determining a real detection result of the sample equipment based on the identification of the sample equipment; determining the true detection result of other devices except the sample device based on the identification of the other devices in the plurality of devices;
the detection information generation module is used for generating detection information of the sample based on the real detection results of the sample equipment and the real detection results of other equipment;
and the first sending module is used for sending the detection information of the sample to the server.
Optionally, the detection information generation module is specifically configured to:
determining a detection result of the sample based on the real detection results of other devices;
and taking the detection result of the sample and the real detection result of the sample equipment as detection information of the sample.
The detection information generation module is specifically configured to, when determining a detection result of a sample based on a true detection result of other devices:
determining the proportion of positive example detection results and negative example detection results in the real detection results of other devices;
based on the proportion, the detection result with larger occupation in the real detection results of other devices is taken as the detection result of the sample.
A fourth aspect of the present application provides an apparatus for determining a detection result of a device, the apparatus comprising:
the second sending module is used for sending a device detection task to the terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
the second receiving module is used for receiving the detection information of the sample sent by the terminal equipment; the detection information is generated based on the real detection result of the sample equipment and the real detection result of other equipment after the terminal equipment determines the real detection result of the other equipment based on the identification of the sample equipment and the identification of the other equipment in the plurality of equipment.
Optionally, the apparatus further comprises:
the second determining module is used for taking the detection result of the sample in the detection information as the detection result of other equipment; the detection result of the sample is determined based on the real detection results of other devices;
and the third determining module is used for taking the real detection result of the sample equipment in the detection information of the sample as the detection result of the sample equipment.
Optionally, the apparatus further includes a traversing module, before the second sending module sends the device detection task to the terminal device;
The traversing module is used for sequencing all the devices in the sample according to a set rule, and taking the device with the N before sequencing as sample device; n is an integer greater than 0; if the sample equipment meets the set condition, determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as sample equipment, circularly executing the steps of determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as the sample equipment to traverse all equipment until the last equipment after sorting is taken as the sample equipment and the set condition is met; all devices in the sample are reordered according to the set rules.
In a fifth aspect of embodiments of the present application, there is provided an electronic device comprising a storage and a processor; a memory having a computer program stored therein; the processor is adapted to perform the method of any of the first aspect and its alternative embodiments when the computer program is run.
In a sixth aspect of the embodiments of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the first aspect and its alternative embodiments.
The technical scheme provided by the application has the beneficial effects that:
in this embodiment, after receiving the device detection task sent by the server, since the device detection task includes the identifiers of the multiple devices and the multiple devices include the sample devices, the real detection results of the sample devices can be determined based on the identifiers of the sample devices and the real detection results of the other devices can be determined based on the identifiers of the other devices, so that the detection information of the sample can be generated based on the real detection results of the sample devices and the real detection results of the other devices.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are required to be used in the description of the embodiments of the present application will be briefly described below.
FIG. 1 is a schematic flow chart of a method for determining the detection result of a device according to the present application;
FIG. 2 is a schematic flow chart of a method for determining the detection result of a device according to the present application;
FIG. 3 is a schematic flow chart of a method for determining the detection result of a device according to the present application;
FIG. 4 is a schematic flow chart of a method for determining the detection result of a device according to the present application;
FIG. 5 is a schematic structural diagram of an apparatus for determining the detection result of a device according to the present application;
FIG. 6 is a schematic diagram of another structure of the apparatus for determining the detection result of the device according to the present application;
fig. 7 is a schematic structural diagram of an electronic device according to the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
First, several terms related to the present application are described and explained:
the safety inspection refers to that inspection personnel detect the outdoor equipment to determine whether all parameters of the outdoor equipment are in a normal range.
Referring to fig. 1, the present application provides a method for determining a detection result of a device, where the method may be performed by a terminal device, and the terminal device may be a desktop terminal, for example, a desktop computer, or a mobile terminal, for example, a mobile phone, a tablet computer, or the like, and the method may include:
step S101, receiving a device detection task sent by a server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
the terminal device receives the device detection tasks sent by the server, and each device detection task indicates to detect a plurality of devices, so that the device detection tasks include identifiers of the plurality of devices, and the identifiers of the devices can be at least one of the number of the devices, the positions (such as longitude and latitude coordinates) of the devices and the names of the devices.
In this embodiment, the plurality of devices to be detected are determined by a server, and the server may use the devices located in the same location area as the plurality of devices to be detected, so that time waste caused by a round trip between the devices when the inspection personnel detects the devices can be avoided.
In this embodiment, the plurality of devices can be regarded as a sample, from which a sample device can be determined, and the sample device is also determined by a server, and the manner in which the sample device is determined by the specific server will be described in the following embodiments.
Step S102, determining a real detection result of the sample equipment based on the identification of the sample equipment; determining the true detection result of other devices except the sample device based on the identification of the other devices in the plurality of devices;
in this embodiment, the real detection result refers to a detection result obtained by detecting the sample device itself.
The terminal equipment can determine the identification of the sample equipment from the identifications of the plurality of equipment, and display the identification of the sample equipment to the patrol personnel so as to facilitate the patrol personnel to detect the sample equipment, and the terminal equipment determines the real detection result of the sample equipment based on the parameters input by the patrol personnel.
It should be noted that, the detection of the inspection personnel on the sample equipment is a fine detection, that is, the inspection personnel needs to detect all or most of the parameters of the sample equipment, after receiving all or most of the parameters input by the inspection personnel, the terminal equipment can determine the real detection result of the sample equipment based on all or most of the collected parameters, if at least one parameter in all or most of the parameters does not reach the standard, the real detection result of the sample equipment is determined to be abnormal, otherwise, if all or most of the parameters reach the standard, the real detection result of the sample equipment is determined to be normal.
The terminal equipment displays the identification of each other equipment except the sample equipment in the plurality of equipment to the inspection personnel, so that the inspection personnel can detect each other equipment, and the terminal equipment determines the real detection result of the other equipment based on the parameters input by the inspection personnel.
It should be noted that, the inspection of other devices by the inspection personnel is a rough inspection, in many cases, the terminal device only needs to receive the visual parameters of other devices input by the inspection personnel, where the visual parameters refer to visual parameters that can be easily collected by the inspection personnel, for example, the visual parameters may be at least one of temperature, operation rate, voltage, current, residual electric quantity and the like displayed on interfaces of other devices. If at least one parameter in the visual parameters of other equipment does not reach the standard, the terminal equipment determines that the real detection result of the other equipment is abnormal, otherwise, if the visual parameters of the other equipment reach the standard, the terminal equipment determines that the real detection result of the other equipment is normal.
Step S103, based on the real detection results of the sample equipment and the real detection results of other equipment, generating detection information of the sample;
the specific implementation of the steps of this embodiment will be described in the following embodiments.
Step S104, sending detection information of the sample to a server.
The terminal device sends the detection information of the sample to the server, and the server can determine the detection results of the plurality of devices in the device detection task based on the detection information of the sample, and the specific implementation will be described in the later embodiments.
It can be seen that, in this embodiment, after the device detection task sent by the server is received, since the device detection task includes identifiers of a plurality of devices and the plurality of devices includes sample devices, the real detection results of the sample devices can be determined based on the identifiers of the sample devices and the real detection results of the other devices can be determined based on the identifiers of the other devices, so that the detection information of the sample can be generated based on the real detection results of the sample devices and the real detection results of the other devices.
Meanwhile, the application only needs to carry out rough detection aiming at other equipment, and compared with the existing non-sampling detection scheme, the workload of patrol personnel is reduced.
Optionally, step S104 may include generating the detection information of the sample based on the real detection result of the sample device and the real detection result of the other devices:
determining a detection result of the sample based on the real detection results of other devices; and taking the detection result of the sample and the real detection result of the sample equipment as detection information of the sample.
As described above, a plurality of devices to be detected in the device detection task may be used as a sample, and the terminal device may determine the detection result of the sample based on the real detection results of each of the plurality of other devices, so that the terminal device may use the detection result of the sample and the real detection of the sample device together as the detection information of the sample, and send the detection information to the server, and the server determines the detection results of the plurality of devices based on the detection information.
Optionally, determining the detection result of the sample based on the true detection result of the other devices may include:
determining the proportion of positive example detection results and negative example detection results in the real detection results of other devices; based on the proportion, the detection result with larger occupation in the real detection results of other devices is taken as the detection result of the sample.
The terminal device may determine a ratio of a positive case detection result to a negative case detection result in the real detection results of the plurality of other devices, where the positive case detection result refers to a detection result being normal, and the negative case detection result refers to a detection result being abnormal, so that based on the ratio, a detection result with a relatively large ratio in the ratio may be used as a detection result of the sample.
For example, if the ratio of detection of the normal and detection of the abnormal is X:Y, X and Y are positive numbers and X is larger than Y, the ratio of detection of the normal is larger, and the detection of the normal is taken as the detection result of the sample.
It can be seen that, in this embodiment, the real detection result of the other device that occupies a relatively large area may be used as the detection result of the sample, so that after the server uses the detection result of the sample as the detection result of the other device, the accuracy of the detection result of the other device is relatively high.
Further, referring to fig. 2, the terminal device needs to determine whether the ratio of the positive case detection result to the negative case detection result in the real detection results of the other devices is within the preset ratio range, if so, entering the case a, and if not, entering the case B, specifically:
Case a: if the ratio of the positive example detection result to the negative example detection result is not in the preset ratio range, the terminal equipment sends the detection information of the sample to the server;
in this embodiment, the preset ratio range is preset by the terminal device, and the preset ratio range may be set to X1% to X2%. The ratio is not within the preset ratio range, meaning that the ratio is greater than or equal to X2%, or the ratio is less than or equal to X1%. Specifically, the preset ratio range may be set to 10% to 90%.
Case B: if the ratio of the positive example detection result to the negative example detection result is within the preset ratio range, after sending the detection information of the sample to the server, the method further comprises the following steps:
and sending prompt information of low accuracy of the detection result of the sample to a server.
In this embodiment, if the ratio is within the preset ratio range shown in the case a, after the terminal device sends the detection information of the sample to the server, the terminal device needs to send the prompt information of low accuracy of the detection result to the server, and of course, the terminal device may also send the prompt information of low accuracy of the detection result and the detection information of the sample to the server together.
In this embodiment, the prompt message with low accuracy of the detection result includes the proportion of the positive case detection result and the negative case detection result in the real detection results of the other devices.
From the perspective of the server, after the server receives the detection information of the sample, the server determines detection results of the plurality of devices based on the detection information, including the following realizable modes:
one way of realization is:
taking the detection result of the sample in the detection information as the detection result of other equipment; the detection result of the sample is determined based on the real detection results of other devices;
and taking the real detection result of the sample equipment in the detection information of the sample as the detection result of the sample equipment.
In case a, the server may use the detection result of the sample as the detection result of each other device, and use the real detection result of the sample device as the detection result of the sample device.
In the case B, the server may use the detection result of the sample as the detection result of each other device, and determine, based on the proportion included in the prompt information, the proportion of the number of devices corresponding to the detection result of the sample to the total number of devices, where the server uses the real detection result of the sample device as the detection result of the sample device. For example, if the detection result of the sample is normal detection and the true detection result of the sample device is abnormal detection, the server determines that the detection result of each other device is normal detection, and the number of devices actually detecting the normal detection is X3%, X3 is an integer greater than 50, and simultaneously the server determines that the detection result of the sample device is abnormal detection.
The second mode can be realized: in the case B, the server uses the detection result of the sample in the detection information as the detection result of the plurality of devices based on the prompt information with low accuracy, and determines the proportion of the number of devices corresponding to the detection result of the sample to the total number of devices based on the proportion contained in the prompt information, if the real detection result of the sample device is different from the detection result of the sample, the server modifies the detection result of the sample into the real detection result of the sample device, and if the real detection result of the sample device is the same as the detection result of the sample, no operation is performed.
Therefore, under the condition that the accuracy of the determined detection result of the sample is not high, compared with the existing scheme, the method and the device can ensure the accurate detection of sample equipment and the accuracy of detection results of a large proportion of other equipment as much as possible.
Further, referring to fig. 2, in the case B, after the server determines the detection results of the plurality of devices, because the accuracy of the detection results is low, the server may split the device detection task, where the device detection task is split into at least two subtasks to detect, so that the number of devices in each subtask is obviously reduced relative to the number of device detection tasks, and the server issues each subtask to the terminal device, after the terminal device receives each subtask, the terminal device takes the received subtask as the device detection task shown in fig. 1, and repeatedly executes the steps of the embodiment shown in fig. 1 and the method of the alternative embodiment until the proportion of the positive example detection result and the negative example detection result in the real detection results of other devices is not in the preset proportion range, so as to achieve the purpose of determining the detection results of the devices in the subtask.
In this embodiment, for the case that the accuracy of the detection result is not high, the device detection task may be split into at least two subtasks for execution, so that the proportion of the positive example detection result and the negative example detection result in the real detection results corresponding to the split subtasks is likely to fall within the preset proportion range, so that the detection result of the device in the subtasks can be accurately determined, and the accuracy of device detection is ensured.
Optionally, after the step S104 of sending the detection information of the sample to the server, the method may further include:
and sending the detection results which occupy smaller detection results and the identifiers of other devices corresponding to the smaller detection results to the server, so that the server can modify the detection results of the other devices based on the smaller detection results and the identifiers of the other devices.
As described above, the terminal device uses the detection result with the larger occupation in the real detection results of the other devices as the detection result of the sample, and the server uses the detection result of the sample as the detection result of each other device, in fact, the detection result of the other device with the smaller occupation is inaccurate, so that the terminal device of the present application can also send the detection result with the smaller occupation in the real detection results of the other devices and the identifiers of the other devices corresponding to the detection result with the smaller occupation to the server, so that the server modifies the detection result of the corresponding other devices into the detection result with the smaller occupation based on the identifiers.
For example, if the true detection result of 95% of the other devices is normal, the detection result of the sample is normal, and the server sets the detection results of 100% of the other devices to be normal based on the detection result of the sample, so that the terminal device needs to send the identifier of the other devices whose true detection result is 5% of the detection abnormality to the server, so that the server modifies the detection result of the other devices to be abnormal, thereby further improving the accuracy of the detection result.
In summary, in the present application, there are actually two roles of the sample device, one role is the device itself, and one role is as a sample, so that the following possible scenarios exist in the embodiment of the present application:
scene a: if the sample device itself detects normal, other devices exceeding the upper limit of the preset proportion range exist in other devices, and the other devices detect normal:
the terminal equipment reports the true detection result of the sample equipment to the server as the detection normal, the detection result of the sample is the detection normal, and the server determines the detection result of each other equipment as the detection normal, and the detection result of the sample equipment is the detection normal.
The terminal device may further send the identifier of the other device detecting the abnormality to the server, and the server may further modify the detection result of the other device corresponding to the identifier to detect the abnormality.
Scene b: if the sample device itself detects normal, other devices exceeding the upper limit of the preset proportion range detect abnormal states, and the other devices:
the terminal equipment reports the true detection result of the sample equipment to the server as detection normal, the detection result of the sample is detection abnormal, and the server determines the detection result of each other equipment as detection abnormal, and the detection result of the sample equipment is detection normal.
The terminal device may further send the identifier of the other device that detects the normal condition in the other devices to the server, and the server may further modify the detection result of the other device corresponding to the identifier to detect the normal condition.
Scene c: if the sample equipment detects the normal, the ratio of the detection normal to the detection abnormal in the detection results of other equipment is within the preset ratio range, then:
if the detection result is that the detection normal occupation is larger, reporting the real detection result of the sample equipment to the terminal equipment as the detection normal, wherein the detection result of the sample is that the detection normal occupation is reported to the terminal equipment. The server can set the detection results of the plurality of devices as detection normal, determine that the detection results are the proportion of the number of the devices with the detection normal to the total number of the devices, and determine that the real detection results of the sample devices are the same as the detection results of the samples at the same time, and the detection results of the samples do not need to be modified.
If the detection abnormality of the detection result is larger, reporting the real detection result of the sample equipment to the terminal equipment as detection normal, and reporting the detection abnormality of the sample as the detection abnormality and the proportion of the detection abnormality. The server sets the detection results of the plurality of devices as detection anomalies, determines that the detection results are the proportion of the number of the devices with the detection anomalies to the total number of the devices, and further modifies the detection results of the sample devices into detection anomalies if the true detection results of the sample devices are different from the detection results of the samples.
Scene d: if the sample equipment detects abnormality, other equipment exceeding the upper limit of the preset proportion range exists in other equipment to detect normal, and the equipment is:
the terminal equipment reports the real detection result of the sample equipment to the server as detection abnormality, the detection result of the sample is detection normal, and the server determines that the detection result of each other equipment is detection normal, and the detection result of the sample equipment is detection abnormality.
The terminal device may further send the identifier of the other device detecting the abnormality to the server, and the server may further modify the detection result of the other device corresponding to the identifier to detect the abnormality.
Scene e: if the sample device itself detects abnormality, other devices exceeding the upper limit of the preset proportion range detect abnormality, then:
the terminal equipment reports the real detection result of the sample equipment to the server as detection abnormality, if the detection result of the sample is detection abnormality, the server determines that the detection result of each other equipment is detection abnormality, and the detection result of the sample equipment is detection abnormality.
The terminal device may further send the identifier of the other device that detects the normal condition in the other devices to the server, and the server may further modify the detection result of the other device corresponding to the identifier to detect the normal condition.
Scene f: if the sample equipment detects abnormality, the ratio of detecting the abnormality to detecting the abnormality in the detection results of other equipment is within the preset ratio range, then:
if the detection result is that the detection normal occupation is larger, reporting the real detection result of the sample equipment to the terminal equipment as detection abnormality, and reporting the detection result of the sample as detection normal occupation proportion. The server sets the detection results of the plurality of devices as detection normal, determines that the detection results are the proportion of the number of the devices with the detection normal to the total number of the devices, and further modifies the detection results of the sample devices into detection abnormality if the true detection results of the sample devices are different from the detection results of the samples.
If the detection result is that the detection abnormality is larger, reporting the real detection result of the sample equipment to the terminal equipment as the detection abnormality, wherein the detection result of the sample is that the detection abnormality, and reporting the proportion of the detection abnormality. The server sets the detection results of the plurality of devices as detection anomalies, determines that the detection results are the proportion of the number of the devices with the detection anomalies to the total number of the devices, and the real detection results of the sample devices are the same as the detection results of the samples without modifying the detection results of the samples.
When the conditions shown in the condition c and the condition f occur, the detection result is not completely accurate, the server can split the equipment detection task into at least two tasks, and each task is sequentially executed according to the method for determining the equipment detection result until the task meets any one of the condition a, the condition b, the condition d and the condition e.
The scheme of the present application is described above from the point of view of the terminal device, and the embodiment scheme of the present application will be described in detail from the point of view of the server with reference to fig. 3.
Step S301, a device detection task is sent to a terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
Step S302, receiving detection information of a sample sent by a terminal device; the detection information is generated based on the real detection result of the sample equipment and the real detection result of other equipment after the terminal equipment determines the real detection result of the other equipment based on the identification of the sample equipment and the identification of the other equipment in the plurality of equipment.
The embodiment of the present invention is substantially the same as the embodiment of fig. 1, and the specific implementation and the effective effects thereof may refer to the content of the embodiment of fig. 1, which is not described herein.
Further, in this embodiment, the specific procedure of selecting the sample device by the server is:
sequencing all the devices in the sample according to a set rule, and taking the device with the N before sequencing as sample device; n is an integer greater than 0; if the sample equipment meets the set condition, determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as sample equipment, circularly executing the steps of determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as the sample equipment to traverse all equipment until the last equipment after sorting is taken as the sample equipment and the set condition is met;
All devices in the sample are reordered according to the set rules.
In this embodiment, the setting rule refers to a failure rate ordering rule, and then the order with higher failure rate may be advanced.
The setting conditions refer to: the number of inspection times of the device has reached a preset number of inspection times, which may be set by the server.
In this embodiment, if the number of inspection times of some devices reaches the preset number of inspection times, it indicates that the devices have been detected as sample devices, and the devices are generally identified by "sample marks", the embodiment of the present application is specifically implemented as follows:
the server may take a plurality of devices located in the same location area as a sample, determine the failure rate of each device based on the historical failure condition of each device, and rank all devices in the sample according to the failure rate, so as to screen out the device N before the failure rate ranking, and take the device N before the ranking as the sample device.
Therefore, the application can take the equipment with higher failure rate as the sample equipment, thus ensuring that the sample equipment is finely detected so as to be convenient for repairing the failure of the sample equipment.
Further, the server needs to determine whether the determined sample device meets the set condition, and if the determined sample device does not meet the set condition, that is, there is no mark, the determined sample device is used as the sample device in the final step S301;
If the determined sample equipment meets the set condition, determining all equipment except the equipment meeting the set condition in the sample, selecting the equipment with the N before the sorting from all the equipment as candidate equipment, taking the candidate equipment as sample equipment, circularly executing the steps of determining all the equipment except the equipment meeting the set condition in the sample, selecting the equipment with the N before the sorting from all the equipment as candidate equipment, taking the candidate equipment as sample equipment, and traversing all the equipment in the sample in such a way until the equipment with the last sorting is also taken as sample equipment and the equipment with the last sorting is taken as sample equipment, meeting the set condition or until the selected sample equipment does not meet the set condition, and taking the selected sample equipment as the sample equipment in the step S301.
If all the devices in the sample are traversed to find that all the devices are used as sample devices, the set condition is met, that is, all the devices in the sample have sample marks, the server can clear the sample marks of the devices in the sample, reorder all the devices in the sample according to the fault rate, and screen out the device with the N before the fault rate ordering from the sample as the sample device in the step S301.
In summary, the solution of the present application is implemented by interaction between a terminal device and a server, and in the following, the solution of the present application is described from the perspective of device interaction with reference to fig. 4:
step S401, the server takes the first N devices with higher fault rate as sample devices;
step S402, a server issues a device detection task to a terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
step S403, the terminal equipment determines the real detection result of the sample equipment and the real detection result of other equipment;
step S404, the terminal equipment determines the detection result of the sample based on the real detection results of other equipment, and takes the detection result of the sample and the real detection result of the sample detection equipment as the detection information of the sample;
step S405, the terminal equipment judges whether the proportion of the positive example detection result to the negative example detection result in the real detection results of other equipment is within a preset proportion range;
step S406, if not, the terminal equipment reports the detection information to the server;
and step S407, if yes, the terminal equipment reports the detection information and the proportion to the server.
In step S408, the server uses the detection information of the sample in the detection information as the detection result of other devices, uses the real detection result in the detection information as the detection result of the sample device, and if the proportion is received, splits the device detection task into at least two sub-tasks to determine the detection result of the device in each sub-task.
The embodiment of the present application is substantially the same as the embodiment shown in fig. 1 and fig. 3, and the specific implementation manner may refer to the specific implementation of fig. 1 or fig. 3, which is not repeated herein.
Fig. 5 is a schematic structural diagram of an apparatus for determining a detection result of a device according to another embodiment of the present application, as shown in fig. 5, the apparatus of this embodiment may include:
a first receiving module 501, configured to receive a device detection task sent by a server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
a first determining module 502, configured to determine a true detection result of the sample device based on the identification of the sample device; determining the true detection result of other devices except the sample device based on the identification of the other devices in the plurality of devices;
a detection information generating module 503, configured to generate detection information of a sample based on a real detection result of a sample device and a real detection result of other devices;
a first sending module 504, configured to send detection information of the sample to a server.
Optionally, the detection information generating module 503 is specifically configured to:
determining a detection result of the sample based on the real detection results of other devices;
And taking the detection result of the sample and the real detection result of the sample equipment as detection information of the sample.
The detection information generation module 503 is specifically configured to, when determining a detection result of a sample based on a true detection result of other devices:
determining the proportion of positive example detection results and negative example detection results in the real detection results of other devices;
based on the proportion, the detection result with larger occupation in the real detection results of other devices is taken as the detection result of the sample.
Referring to fig. 6, the present application further provides an apparatus for determining a detection result of a device, where the apparatus includes:
a second sending module 601, configured to send a device detection task to a terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
a second receiving module 602, configured to receive detection information of a sample sent by a terminal device; the detection information is generated based on the real detection result of the sample equipment and the real detection result of other equipment after the terminal equipment determines the real detection result of the other equipment based on the identification of the sample equipment and the identification of the other equipment in the plurality of equipment.
Optionally, the apparatus further comprises:
the second determining module is used for taking the detection result of the sample in the detection information as the detection result of other equipment; the detection result of the sample is determined based on the real detection results of other devices;
and the third determining module is used for taking the real detection result of the sample equipment in the detection information of the sample as the detection result of the sample equipment.
Optionally, the apparatus further includes a traversing module, before the second sending module sends the device detection task to the terminal device;
the traversing module is used for sequencing all the devices in the sample according to a set rule, and taking the device with the N before sequencing as sample device; n is an integer greater than 0; if the sample equipment meets the set condition, determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as sample equipment, circularly executing the steps of determining that N equipment before sorting in all equipment except the equipment meeting the set condition in the sample is a candidate equipment, taking the candidate equipment as the sample equipment to traverse all equipment until the last equipment after sorting is taken as the sample equipment and the set condition is met; all devices in the sample are reordered according to the set rules.
The data processing device of this embodiment may execute the data processing method according to any of the above embodiments of the present application, and its implementation principle is similar, and will not be described here again.
In an alternative embodiment, an electronic device is provided, as shown in fig. 7, the electronic device 4000 shown in fig. 7 includes: a processor 4001 and a memory 4003. Wherein the processor 4001 is coupled to the memory 4003, such as via a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004. It should be noted that, in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 is not limited to the embodiment of the present application.
The processor 4001 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 4001 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 4002 may include a path to transfer information between the aforementioned components. Bus 4002 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The bus 4002 can be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 7, but not only one bus or one type of bus.
Memory 4003 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 4003 is used for storing application program codes for executing the inventive arrangements, and is controlled to be executed by the processor 4001. The processor 4001 is configured to execute application program codes stored in the memory 4003 to realize what is shown in any of the foregoing method embodiments.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.
Claims (9)
1. A method of determining a device detection result, comprising:
receiving a device detection task sent by a server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
determining a true detection result of the sample equipment based on the identification of the sample equipment; determining a true detection result of other devices except for sample devices in the plurality of devices based on the identification of the other devices; the detection parameters for the sample equipment are all or most of parameters, and the detection parameters for the other equipment are visualization parameters;
generating detection information of a sample based on the real detection result of the sample equipment and the real detection results of the other equipment;
sending detection information of the sample to the server;
when determining the sample equipment, firstly sorting all the equipment in the sample according to a set rule, and selecting N equipment before sorting from all the equipment, wherein N is an integer greater than 0; if the devices do not meet the set conditions, taking the devices as the sample devices; if the devices meet the set conditions, sorting all the devices except the devices meeting the set conditions in all the devices according to the set rules, and determining the N devices before sorting as candidate devices; if the candidate equipment does not meet the set condition, the candidate equipment is used as sample equipment; if the candidate equipment meets the set condition, repeating the sorting operation and the screening operation of whether the set condition is met or not until sample equipment which does not meet the set condition is screened out;
The setting rule refers to a fault rate ordering rule for ordering higher fault rate to the front; the set condition means that the inspection frequency of the equipment reaches the preset inspection frequency.
2. The method of claim 1, wherein generating the detection information of the sample based on the true detection result of the sample device and the true detection result of the other device comprises:
determining a detection result of the sample based on the true detection results of the other devices;
and taking the detection result of the sample and the real detection result of the sample equipment as detection information of the sample.
3. The method of claim 2, wherein the determining the detection result of the sample based on the true detection result of the other device comprises:
determining the proportion of positive case detection results and negative case detection results in the real detection results of the other devices;
based on the proportion, the detection result which occupies a larger proportion in the real detection results of the other devices is used as the detection result of the sample.
4. A method of determining a device detection result, comprising:
sending a device detection task to a terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
Receiving detection information of a sample sent by the terminal equipment; the detection information is generated based on the real detection result of the sample equipment and the real detection result of other equipment after the terminal equipment determines the real detection result of the other equipment based on the identification of the sample equipment and the identification of the other equipment in the plurality of equipment; the detection parameters for the sample equipment are all or most of parameters, and the detection parameters for the other equipment are visualization parameters;
when determining the sample equipment, firstly sorting all the equipment in the sample according to a set rule, and selecting N equipment before sorting from all the equipment, wherein N is an integer greater than 0; if the devices do not meet the set conditions, taking the devices as the sample devices; if the devices meet the set conditions, sorting all the devices except the devices meeting the set conditions in all the devices according to the set rules, and determining the N devices before sorting as candidate devices; if the candidate equipment does not meet the set condition, the candidate equipment is used as sample equipment; if the candidate equipment meets the set condition, repeating the sorting operation and the screening operation of whether the set condition is met or not until sample equipment which does not meet the set condition is screened out;
The setting rule refers to a fault rate ordering rule for ordering higher fault rate to the front; the set condition means that the inspection frequency of the equipment reaches the preset inspection frequency.
5. The method according to claim 4, wherein the method further comprises:
taking the detection result of the sample in the detection information as the detection result of the other equipment; the detection result of the sample is determined based on the real detection result of the other equipment;
and taking the real detection result of the sample equipment in the detection information of the sample as the detection result of the sample equipment.
6. An apparatus for determining a device detection result, comprising:
the first receiving module is used for receiving the equipment detection task sent by the server; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
a first determining module, configured to determine a true detection result of the sample device based on the identification of the sample device; determining a true detection result of other devices except for sample devices in the plurality of devices based on the identification of the other devices; the detection parameters for the sample equipment are all or most of parameters, and the detection parameters for the other equipment are visualization parameters;
The detection information generation module is used for generating detection information of a sample based on the real detection result of the sample equipment and the real detection result of the other equipment;
the first sending module is used for sending the detection information of the sample to the server;
when determining the sample equipment, firstly sorting all the equipment in the sample according to a set rule, and selecting N equipment before sorting from all the equipment, wherein N is an integer greater than 0; if the devices do not meet the set conditions, taking the devices as the sample devices; if the devices meet the set conditions, sorting all the devices except the devices meeting the set conditions in all the devices according to the set rules, and determining the N devices before sorting as candidate devices; if the candidate equipment does not meet the set condition, the candidate equipment is used as sample equipment; if the candidate equipment meets the set condition, repeating the sorting operation and the screening operation of whether the set condition is met or not until sample equipment which does not meet the set condition is screened out;
the setting rule refers to a fault rate ordering rule for ordering higher fault rate to the front; the set condition means that the inspection frequency of the equipment reaches the preset inspection frequency.
7. An apparatus for determining a device detection result, comprising:
the second sending module is used for sending a device detection task to the terminal device; the device detection task comprises identifiers of a plurality of devices, and the plurality of devices comprise sample devices;
the second receiving module is used for receiving the detection information of the sample sent by the terminal equipment; the detection information is generated based on the real detection result of the sample equipment and the real detection result of other equipment after the terminal equipment determines the real detection result of the other equipment based on the identification of the sample equipment and the identification of the other equipment in the plurality of equipment; the detection parameters for the sample equipment are all or most of parameters, and the detection parameters for the other equipment are visualization parameters;
when determining the sample equipment, firstly sorting all the equipment in the sample according to a set rule, and selecting N equipment before sorting from all the equipment, wherein N is an integer greater than 0; if the devices do not meet the set conditions, taking the devices as the sample devices; if the devices meet the set conditions, sorting all the devices except the devices meeting the set conditions in all the devices according to the set rules, and determining the N devices before sorting as candidate devices; if the candidate equipment does not meet the set condition, the candidate equipment is used as sample equipment; if the candidate equipment meets the set condition, repeating the sorting operation and the screening operation of whether the set condition is met or not until sample equipment which does not meet the set condition is screened out;
The setting rule refers to a fault rate ordering rule for ordering higher fault rate to the front; the set condition means that the inspection frequency of the equipment reaches the preset inspection frequency.
8. An electronic device comprising a memory and a processor;
the memory stores a computer program;
the processor for performing the method of any of claims 1-5 when the computer program is run.
9. A computer readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the method of any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011556634.7A CN112561389B (en) | 2020-12-23 | 2020-12-23 | Method and device for determining detection result of equipment and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011556634.7A CN112561389B (en) | 2020-12-23 | 2020-12-23 | Method and device for determining detection result of equipment and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112561389A CN112561389A (en) | 2021-03-26 |
| CN112561389B true CN112561389B (en) | 2023-11-10 |
Family
ID=75033975
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011556634.7A Active CN112561389B (en) | 2020-12-23 | 2020-12-23 | Method and device for determining detection result of equipment and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112561389B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001091414A (en) * | 1999-09-17 | 2001-04-06 | Omron Corp | Method and device for determining abnormal condition |
| US7333119B1 (en) * | 2004-11-02 | 2008-02-19 | Nvidia Corporation | System and method for virtual coverage anti-aliasing |
| CN108875727A (en) * | 2018-06-29 | 2018-11-23 | 龙马智芯（珠海横琴）科技有限公司 | The detection method and device of graph-text identification, storage medium, processor |
| CN109186666A (en) * | 2018-08-27 | 2019-01-11 | 日立楼宇技术（广州）有限公司 | Detection method, device, computer equipment and the storage medium of equipment |
| CN109558259A (en) * | 2018-10-15 | 2019-04-02 | 平安科技（深圳）有限公司 | Server failure detection method, device, equipment and computer readable storage medium |
| CN110070076A (en) * | 2019-05-08 | 2019-07-30 | 北京字节跳动网络技术有限公司 | Method and apparatus for choosing trained sample |
| CN110177108A (en) * | 2019-06-02 | 2019-08-27 | 四川虹微技术有限公司 | A kind of anomaly detection method, device and verifying system |
| CN110474871A (en) * | 2019-07-05 | 2019-11-19 | 中国平安财产保险股份有限公司 | A kind of exception account detection method, device, computer equipment and storage medium |
| CN110543920A (en) * | 2019-09-12 | 2019-12-06 | 北京达佳互联信息技术有限公司 | Performance detection method and device of image recognition model, server and storage medium |
| CN110633989A (en) * | 2019-08-16 | 2019-12-31 | 阿里巴巴集团控股有限公司 | Method and device for determining risk behavior generation model |
| WO2020143322A1 (en) * | 2019-01-08 | 2020-07-16 | 平安科技（深圳）有限公司 | User request detection method and apparatus, computer device, and storage medium |
| CN111698247A (en) * | 2020-06-11 | 2020-09-22 | 腾讯科技（深圳）有限公司 | Abnormal account detection method, device, equipment and storage medium |
| CN111756760A (en) * | 2020-06-28 | 2020-10-09 | 深圳壹账通智能科技有限公司 | User abnormal behavior detection method based on integrated classifier and related equipment |
| CN112034310A (en) * | 2020-07-31 | 2020-12-04 | 国网山东省电力公司东营供电公司 | Partial discharge defect diagnosis method and system for combined electrical appliance |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20200348662A1 (en) * | 2016-05-09 | 2020-11-05 | Strong Force Iot Portfolio 2016, Llc | Platform for facilitating development of intelligence in an industrial internet of things system |
-
2020
- 2020-12-23 CN CN202011556634.7A patent/CN112561389B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001091414A (en) * | 1999-09-17 | 2001-04-06 | Omron Corp | Method and device for determining abnormal condition |
| US7333119B1 (en) * | 2004-11-02 | 2008-02-19 | Nvidia Corporation | System and method for virtual coverage anti-aliasing |
| CN108875727A (en) * | 2018-06-29 | 2018-11-23 | 龙马智芯（珠海横琴）科技有限公司 | The detection method and device of graph-text identification, storage medium, processor |
| CN109186666A (en) * | 2018-08-27 | 2019-01-11 | 日立楼宇技术（广州）有限公司 | Detection method, device, computer equipment and the storage medium of equipment |
| CN109558259A (en) * | 2018-10-15 | 2019-04-02 | 平安科技（深圳）有限公司 | Server failure detection method, device, equipment and computer readable storage medium |
| WO2020143322A1 (en) * | 2019-01-08 | 2020-07-16 | 平安科技（深圳）有限公司 | User request detection method and apparatus, computer device, and storage medium |
| CN110070076A (en) * | 2019-05-08 | 2019-07-30 | 北京字节跳动网络技术有限公司 | Method and apparatus for choosing trained sample |
| CN110177108A (en) * | 2019-06-02 | 2019-08-27 | 四川虹微技术有限公司 | A kind of anomaly detection method, device and verifying system |
| CN110474871A (en) * | 2019-07-05 | 2019-11-19 | 中国平安财产保险股份有限公司 | A kind of exception account detection method, device, computer equipment and storage medium |
| CN110633989A (en) * | 2019-08-16 | 2019-12-31 | 阿里巴巴集团控股有限公司 | Method and device for determining risk behavior generation model |
| CN110543920A (en) * | 2019-09-12 | 2019-12-06 | 北京达佳互联信息技术有限公司 | Performance detection method and device of image recognition model, server and storage medium |
| CN111698247A (en) * | 2020-06-11 | 2020-09-22 | 腾讯科技（深圳）有限公司 | Abnormal account detection method, device, equipment and storage medium |
| CN111756760A (en) * | 2020-06-28 | 2020-10-09 | 深圳壹账通智能科技有限公司 | User abnormal behavior detection method based on integrated classifier and related equipment |
| CN112034310A (en) * | 2020-07-31 | 2020-12-04 | 国网山东省电力公司东营供电公司 | Partial discharge defect diagnosis method and system for combined electrical appliance |
Non-Patent Citations (2)
| Title |
|---|
| How to Implement Automotive Fault Diagnosis Using Artificial Intelligence Scheme;Cihun-Siyong Alex Gong，等;Micromachines;第13卷(第09期);第1-28页 * |
| 基于KPCA-SVM的断路器故障稳健诊断方法;梅飞，等;电工技术学报;第29卷(第S1期);第50-58页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112561389A (en) | 2021-03-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108073519B (en) | Test case generation method and device | |
| TW201732789A (en) | Disk failure prediction method and apparatus | |
| CN109189677B (en) | Test method and device for updating state of variable value | |
| CN114140034B (en) | Quality monitoring method based on working conditions and related device | |
| CN112634201B (en) | Target detection method and device and electronic equipment | |
| CN115689534B (en) | Method, device, equipment and medium for managing service life of equipment based on big data | |
| EP3098570A1 (en) | Non-linear qualitative visualization | |
| CN109299012A (en) | A kind of test method, device and electronic equipment | |
| CN117333424A (en) | Wafer defect evaluation method, device, memory chip and readable storage medium | |
| CN109388564B (en) | Test method and device and electronic equipment | |
| CN106021046A (en) | Hard disk performance comparison method, device and server | |
| CN112561389B (en) | Method and device for determining detection result of equipment and electronic equipment | |
| US8565910B2 (en) | Manufacturing execution system (MES) including a wafer sampling engine (WSE) for a semiconductor manufacturing process | |
| CN117408835A (en) | Automatic power distribution facility inspection method and device, electronic equipment and medium | |
| CN113516453A (en) | Construction project investment fund control early warning method, device, equipment and medium | |
| CN110888809B (en) | Risk prediction method and device for test task | |
| CN110888811A (en) | Code coverage rate information processing method and device, electronic equipment and medium | |
| CN116319255A (en) | Root cause positioning method, device, equipment and storage medium based on KPI | |
| CN114035470B (en) | Unit state display method and device and storage medium | |
| CN112508449B (en) | Task execution method, device, electronic equipment and computer readable storage medium | |
| CN113554126B (en) | Sample evaluation method, device, equipment and computer readable storage medium | |
| CN112486823B (en) | Error code verification method and device, electronic equipment and readable storage medium | |
| CN116894643A (en) | Engineering cost data acquisition and processing method, device, equipment and medium | |
| CN118536035A (en) | Time sequence data analysis method and system based on visualized big data | |
| CN116467194A (en) | Method and device for determining instability of test case |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |