Disclosure of Invention
An object of the application is to provide an equipment fault feedback system based on cloud platform for the human cost that exists among the effectual improvement prior art is high, and equipment fault discovers untimely, and the technical defect of failure solution inefficiency.
In a first aspect, an embodiment of the present application provides an apparatus fault feedback system based on a cloud platform, including: the thermal imaging device is connected with the cloud platform; the thermal imaging apparatus includes: the portable thermal image detection head is used for acquiring a current thermal imaging image of an object in real time, and the mobile terminal is used for receiving the current thermal imaging image acquired by the portable thermal image detection head and performing defect diagnosis and analysis; the cloud platform is used for storing historical thermal imaging data acquired by the portable thermal imaging detection head, receiving a current thermal imaging image and carrying out big data processing analysis based on the historical thermal imaging data and the current thermal imaging image.
With reference to the first aspect, in a first possible implementation manner, the portable thermal imagery detection head collects an infrared imaging image of the object, the image collection device on the mobile terminal collects an original image of the object, and the infrared imaging image of the object collected by the portable thermal imagery detection head and the original image of the object collected by the image collection device on the mobile terminal are transmitted to the cloud platform.
With reference to the first aspect, in a second possible implementation manner, the mobile terminal is provided with a defect diagnosis unit, and the defect diagnosis unit is configured to determine defect fault information of the object based on the received current thermal imaging image and perform alarm.
With reference to the first aspect, in a third possible implementation manner, a cloud platform includes: the embedded algorithm module and the defect analysis module are used for calculating whether the historical thermal imaging image and the current thermal imaging image obtained by analysis have thermal image defects or not, and the pre-modeling module is established and used for pre-judging faults and fault treatment corresponding to the thermal image defects when the thermal imaging image is determined to have the thermal image defects.
With reference to the first aspect, in a fourth possible implementation manner, the mobile terminal further includes: and the statistical unit is used for counting the fault types and the occurrence frequencies of the objects and sequencing the fault types from high to low according to the occurrence frequencies.
With reference to the first aspect, in a fifth possible implementation manner, the mobile terminal further includes: and the monitoring unit is used for establishing a monitoring curve based on the relationship among the use duration of the object, the fault type of the object and the occurrence frequency of each fault type.
With reference to the first aspect, in a sixth possible implementation manner, the mobile terminal further includes: and the position positioning unit is used for comparing the obtained thermal imaging image of the object with the standard object image obtained from the cloud platform to determine the position information of the object.
With reference to the first aspect, in a seventh possible implementation manner, the mobile terminal further includes: the network communication encryption unit is used for encrypting one or more modes of realizing communication between the thermal imaging equipment and the cloud platform for wifi, 5G, 4G, GPRS, zigbee, Bluetooth, NFC and infrared, and the working state of the network communication encryption unit comprises opening and closing.
With reference to the first aspect, in an eighth possible implementation manner, the mobile terminal further includes: and the alarm unit is used for sending out an alarm prompt when receiving the object defect fault information fed back by the defect diagnosis unit.
Compared with the prior art, the beneficial effects of the embodiment of the application are as follows: after the portable thermal image detection head collects the current thermal imaging image, the defect diagnosis software installed on the mobile terminal can analyze the image data needing defect analysis at present to obtain corresponding defect diagnosis analysis, and the defect analysis result of the current thermal imaging image can be quickly obtained; the mobile terminal carries out defect diagnosis and analysis on a small amount of data, the thermal imaging image collected by the portable thermal imaging detection head in real time and the collected historical thermal imaging image can be transmitted to the cloud platform through data, the cloud platform can store and comprehensively analyze a large amount of thermal imaging image data, large data processing and analysis are achieved, the diagnosis and analysis result is more accurate, the possible positions of the defect image can be predicted based on the historical data, and the application is more intelligent. The combination of the mobile terminal and the cloud platform can enable the defects of the object to be found in time, and the position with high defect occurrence frequency can be determined according to big data analysis and processing to carry out key monitoring, so that the defect faults of the equipment object can be found in time, and the efficiency of solving the faults of the equipment object is improved.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a block diagram illustrating a structure of an equipment fault feedback system based on a cloud platform according to an embodiment of the present disclosure. In an embodiment provided herein, a cloud platform-based device failure feedback system 10 includes: thermal imaging device 110 and cloud platform 120, thermal imaging device 110 is connected with cloud platform 120; the thermal imaging apparatus 110 includes: the portable thermal image detection device comprises a portable thermal image detection head 111 and a mobile terminal 112 connected with the portable thermal image detection head 111, wherein the portable thermal image detection head 111 is used for collecting a current thermal imaging image of an object in real time, and the mobile terminal 112 is used for receiving the current thermal imaging image collected by the portable thermal image detection head 111 and performing defect diagnosis and analysis; the cloud platform 120 is configured to store historical thermal imaging data acquired by the portable thermographic detection head 111, receive a current thermal imaging image, and perform big data processing analysis based on the historical thermal imaging data and the current thermal imaging image.
In this embodiment of the application, the object is any device or apparatus that needs to perform defect analysis, for example, when the cloud platform-based device fault feedback system 10 is applied to power inspection, the object may be a transformer, a high-voltage circuit breaker, a disconnecting switch, a bus, a lightning arrester, a capacitor, an electric reactor, a relay protection device, an automatic device, and a measurement and control device in a transformer substation, and the object may be used to acquire a thermal imaging image of each object that needs to perform defect diagnosis analysis.
In one embodiment, the mobile terminal 112 may be a mobile phone, a tablet computer, or the like; the mobile terminal 112 and the connection port of the portable thermal image detection head 111 are in wired connection through two buses, and the mobile terminal 112 can supply power to the portable thermal image detection head 111 and can acquire data detected by the portable thermal image detection head 111. It should be noted that the mobile terminal 112 and the portable thermal image detection head 111 may also be wirelessly connected.
In one embodiment, portable thermographic detection head 111 includes a connection port and an infrared detector head connected to the connection port. The mobile terminal 112 can directly supply power to the infrared detector head, and can also acquire data detected by the infrared detector head, display the infrared image and perform defect diagnosis and analysis.
In detail, as a possible implementation manner, the portable thermal image detection head 111 collects an infrared imaging image of the object, the image collection device on the mobile terminal 112 collects an original image of the object, and the infrared imaging image of the object collected by the portable thermal image detection head 111 and the original image of the object collected by the image collection device on the mobile terminal 112 are transmitted to the cloud platform 120.
The infrared imaging image of the object collected by the portable thermal image detection head 111 and the original image of the object collected by the image collection device on the mobile terminal 112 are transmitted to the cloud platform 120, and the cloud platform 120 performs storage analysis. The transmission mode may be that the portable thermal image detection head 111 acquires an infrared imaging image of an object and an image acquisition device on the mobile terminal 112 acquires an original image of the object, and the original image is transmitted to the mobile terminal 112 through at least one of wireless communication and wired communication, and the mobile terminal 112 is transmitted to the cloud platform 120 through at least one of wireless communication and wired communication; the infrared imaging image of the object collected by the portable thermal image detection head 111 and the original image of the object collected by the image collection device on the mobile terminal 112 may be directly transmitted to the cloud platform 120 through at least one of wireless communication and wired communication.
Specifically, the mobile terminal 112 is provided with a defect diagnosis unit for determining object defect failure information and alarming based on the received current thermal imaging image.
The cloud platform 120 includes: the server cluster and the image resource pool corresponding to the server cluster are used for storing computing resources of the server cluster, related application programs and thermal imaging image data uploaded by the thermal imaging device 110, and the server cluster monitors the running state of the device based on the running data.
Specifically, the server cluster comprises a master server and a plurality of slave servers, wherein the master server is used for carrying out load distribution on each server in the server cluster based on the image resource pool. Furthermore, a monitoring program for the slave servers is arranged in the master server, and when a fault occurs in operation of one slave server, the computing resource corresponding to the server is removed from the image resource pool, and load distribution is performed again. Further, the slave servers are provided with monitoring programs for the master server, and when it is monitored that the master server fails in operation, one of the plurality of slave servers takes over the work of the master server, so that the stable operation of the cloud platform-based equipment failure feedback system 10 is ensured.
In the embodiment of the present application, the cloud platform 120 includes: the embedded algorithm module and the defect analysis module are used for calculating whether the historical thermal imaging image and the current thermal imaging image obtained by analysis have thermal image defects or not, and the pre-modeling module is established and used for pre-judging faults and fault treatment corresponding to the thermal image defects when the thermal imaging image is determined to have the thermal image defects.
As a possible implementation manner, the cloud platform 120 may embed an application system with a job processing flow, and may perform real-time monitoring on the device object during office based on the application system, so that the office is more intelligent.
In the embodiment of the present application, the mobile terminal 112 further includes: and the statistical unit is used for counting the fault types and the occurrence frequencies of the objects and sequencing the fault types from high to low according to the occurrence frequencies.
Through statistics of the equipment fault types and the occurrence frequency and sequencing of the fault types from high to low according to the occurrence frequency, the fault types with high occurrence frequency can be obtained, a good solution is provided for the equipment faults with high occurrence frequency so as to better solve the equipment faults, the position information corresponding to each equipment fault can be recorded, and the specific equipment with the hidden trouble can be obtained, so that the equipment with high occurrence frequency and the hidden trouble can be mainly monitored.
In the embodiment of the present application, the mobile terminal 112 further includes: and the monitoring unit is used for establishing a monitoring curve based on the relationship among the use duration of the object, the fault type of the object and the occurrence frequency of each fault type.
It is readily understood that the length of time that the device is in use is correlated to the type and frequency of occurrence of device faults. The longer the usage of the equipment, the higher the frequency of occurrence of equipment failures. The service life of each kind of equipment is different, so the wear of the equipment generated in different service life is different, therefore, a monitoring curve can be established according to the relationship among the service life of each kind of equipment, the fault type of the equipment and the occurrence frequency of each fault type. And analyzing the monitoring curves of all the devices integrally, and analyzing and determining which device has high failure occurrence frequency and the corresponding device failure type, thereby determining the devices which need to be used as key monitoring objects for real-time monitoring and the solutions corresponding to the device failures.
In the embodiment of the present application, the mobile terminal 112 further includes: and the position positioning unit is used for comparing the obtained thermal imaging image of the object with the standard object image obtained from the cloud platform 120 to determine the position information of the object.
Each device may be uniquely numbered and the thermal imaging image acquired by thermal imaging device 110 includes the unique number. Each device standard image obtained from the cloud platform 120 also includes the unique number of the device, and the unique number of each device in the device standard image and the device location information have a one-to-one correspondence relationship, and the location information of the device can be determined according to the one-to-one correspondence relationship. Therefore, the thermal imaging image obtained from the thermal imaging device 110 may be compared with the device standard image obtained from the cloud platform 120, and when the comparison result is consistent, the device position information may be determined according to the device standard image determined by the comparison result.
In the embodiment of the present application, the mobile terminal 112 further includes: the network communication encryption unit 130, the network communication encryption unit 130 is one or more of a wifi module, a 4G module, a GPRS module, a zigbee module, a bluetooth module, an NFC module, and an infrared module. Data interaction is realized through communication between the thermal imaging device 110 and the cloud platform 120 and between the thermal imaging device 110 through the network communication encryption unit 130.
In the embodiment of the present application, the mobile terminal 112 further includes: and the alarm unit is used for sending out an alarm prompt when receiving the equipment defect fault information fed back by the application system in the mobile terminal 112.
When the cloud platform 120 determines that the running state of the equipment is abnormal, and when equipment faults exist, the equipment fault information is sent to the alarm unit based on the equipment fault, and an alarm prompt is sent to remind relevant personnel to check the equipment fault.
In the embodiment of the present application, the thermal imaging device 110 collects a thermal imaging image, and transmits the collected thermal imaging image to the cloud platform 120, and the cloud platform 120 stores a device standard image collected from multiple angles, an image cloud database composed of images of various device faults, and a defect algorithm library, which also store a large number of multiple devices. The cloud platform 120 stores the historical thermal imaging image and the current thermal imaging image collected by the portable thermal imaging detection head 111, and the original image collected by the image collection device on the mobile terminal 112, so that the historical thermal imaging image can be synthesized for big data analysis, more accurate analysis results can be obtained, and prediction can be performed. Therefore, real-time monitoring and positioning of equipment faults are achieved, and efficiency of solving the equipment faults is improved.
In this embodiment of the present application, the method for feeding back the device failure of the device failure feedback system based on the cloud platform may include: the portable thermal image detection head collects a current thermal imaging image; transmitting the image to a mobile terminal, and displaying and analyzing the image by the mobile terminal to obtain defect diagnosis analysis of the current thermal imaging image; the cloud platform obtains and stores the portable thermal image detection head to acquire the current thermal imaging image and the historical thermal imaging image, and big data analysis is carried out.
The mobile terminal carries out defect diagnosis and analysis on the portable thermal image detection and acquisition current thermal imaging image, wherein the defect diagnosis and analysis is to detect the temperature of an object through the portable thermal image detection head and judge whether the current temperature of the object is in a normal range. The mobile terminal can only perform defect diagnosis analysis on a small amount of image data, and the cloud platform can perform big data analysis based on a large amount of stored historical image data and real-time image data to obtain a predictive defect diagnosis analysis result and a solution corresponding to the equipment defect.
To sum up, the embodiment of the present application provides an equipment failure feedback system based on a cloud platform, including: the thermal imaging device is connected with the cloud platform; the thermal imaging apparatus includes: the portable thermal image detection head is used for acquiring a current thermal imaging image of an object in real time, and the mobile terminal is used for receiving the current thermal imaging image acquired by the portable thermal image detection head and performing defect diagnosis and analysis; the cloud platform is used for storing historical thermal imaging data acquired by the portable thermal imaging detection head, receiving a current thermal imaging image and carrying out big data processing analysis based on the historical thermal imaging data and the current thermal imaging image.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.