CN116032977B - Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things - Google Patents
Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things Download PDFInfo
- Publication number
- CN116032977B CN116032977B CN202310297979.2A CN202310297979A CN116032977B CN 116032977 B CN116032977 B CN 116032977B CN 202310297979 A CN202310297979 A CN 202310297979A CN 116032977 B CN116032977 B CN 116032977B
- Authority
- CN
- China
- Prior art keywords
- maintenance
- power plant
- power
- information
- early warning
- 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
- 238000012423 maintenance Methods 0.000 title claims abstract description 140
- 238000012544 monitoring process Methods 0.000 title claims abstract description 53
- 239000000178 monomer Substances 0.000 claims abstract description 26
- 238000007726 management method Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 17
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 15
- 238000004458 analytical method Methods 0.000 claims description 14
- 238000013500 data storage Methods 0.000 claims description 11
- 238000012163 sequencing technique Methods 0.000 claims description 10
- 238000005457 optimization Methods 0.000 claims description 9
- 238000012216 screening Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000006698 induction Effects 0.000 claims description 5
- 238000010606 normalization Methods 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000032683 aging Effects 0.000 description 7
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 229920000433 Lyocell Polymers 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- 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
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/54—Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Entrepreneurship & Innovation (AREA)
- Signal Processing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Power Engineering (AREA)
- Water Supply & Treatment (AREA)
- Emergency Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses an intelligent power plant intelligent monitoring early warning maintenance management system based on the Internet of things, which relates to the technical field of intelligent power plant monitoring early warning maintenance management and comprises an electric appliance unit, a monitoring service center, an information acquisition unit, a registration login unit and a generalization reconstruction unit, wherein a plurality of electric power elements are arranged in the electric appliance unit; on one hand, the invention collects the information of the electric power element through multiple dimensions to judge the decay degree, and judges whether the electric power element needs to be replaced or not through the decay degree, and when the electric power element needs to be replaced, a corresponding set is automatically generated so as to be convenient for maintenance; the other party judges an optimal recommended monomer recommendation set through corresponding parameters in the multi-angle collection set, and the optimal recommended monomer recommendation set is matched with optimal professional maintenance personnel, so that the functions of efficient and accurate matching maintenance and accurate positioning maintenance are realized.
Description
Technical Field
The invention relates to the technical field of intelligent power plant monitoring, early warning and maintenance management, in particular to an intelligent power plant intelligent monitoring, early warning and maintenance management system based on the Internet of things.
Background
A plurality of intelligent power plants are provided with a plurality of power equipment components, and primary equipment: a device for directly producing and transmitting electric energy; apparatus for producing and converting electrical energy: such as generators, transformers, bus bars, etc.; switching electrical device for switching on and off a circuit: a circuit breaker, a disconnecting switch; lightning protection device, etc., therefore there are multiple and multiple electric appliance units on the wisdom power plant, there are single or multiple electric appliance components of the same type or different types in the electric appliance unit, the result that this causes is in the early warning and maintaining the in-process each electric appliance unit needs to correspond to maintenance personnel in advance, but because the electric appliance component is various in the electric appliance unit, cause the maintenance personnel to be unable to match the electric appliance component of different types completely, unable to achieve the professional unified early warning maintenance management, unable to realize the high-efficient accurate matching maintenance and accurate positioning maintenance function; in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims at: on one hand, the information of the electric power element is collected through multiple dimensions to judge the decay degree of the electric power element, then the decay degree of the electric power element is used for judging whether the electric power element needs to be replaced, when the electric power element needs to be replaced, a corresponding set is automatically generated so as to be convenient for maintenance, and on the other hand, the optimal recommended single recommended set is judged through corresponding parameters in the multi-angle collection set and is matched with an optimal professional maintainer, so that the functions of efficient and accurate matching maintenance and accurate positioning maintenance are realized;
in order to achieve the above purpose, the present invention adopts the following technical scheme:
an intelligent power plant intelligent monitoring early warning maintenance management system based on the Internet of things comprises an electric appliance unit, wherein a plurality of electric power elements are arranged in the electric appliance unit, the electric appliance unit is connected with a monitoring service center based on the Internet of things signal, and the monitoring service center is connected with an information acquisition unit, a generalization reconstruction unit and a registration login unit;
the registration and login unit is used for submitting maintenance processing information through the mobile phone terminal by a maintainer for registration and sending the maintenance processing information which is successfully registered to the monitoring service center for storage, so as to generate a maintainer database, and is also used for inputting electric element information through the mobile phone terminal and sending the electric element information to the monitoring service center for storage;
the induction reconstruction unit is used for acquiring the power element information through the monitoring service center, extracting the power element names in the power element information, marking the power elements with the same names, combining the power element names with the position information to generate a plurality of groups of element position information sets, and sending the element position information sets to the monitoring service center for storage to generate an element position database;
the information acquisition unit is used for acquiring the power element information of the electric appliance unit and the real-time position information of maintenance personnel in a preset time and sending the information to the monitoring service center;
the monitoring service center is used for receiving and storing the information from the registration login unit, the induction reconstruction unit and the information acquisition unit, extracting and analyzing the power element information at the same time, generating an early warning feedback value corresponding to the power element information, accumulating and acquiring the total value of the early warning feedback value, multiplying the total value of the early warning feedback value and a conversion factor corresponding to the total value of the early warning feedback value to obtain a decay degree value, and judging and generating an element replacement recommendation set through the decay degree value;
the monitoring service center is further used for carrying out combined processing on the element replacement recommendation set, the element position database, the maintainer database and the real-time position information of the maintainers to obtain a dynamic maintenance set of the power plant.
Further, the monitoring service center also comprises a receiving and analyzing unit, a data storage unit, a retrieval and distribution unit and an optimizing and displaying unit;
the information acquisition unit is used for acquiring the information of the electric power element within the preset time and sending the information to the receiving and analyzing unit of the monitoring service center;
the receiving and analyzing unit is used for receiving the power element information of preset time and analyzing to generate an element replacement recommendation set and an element pending recommendation set; the two sets are sent to a data storage unit for storage, and element replacement recommendation sets in the two sets are displayed on a mobile phone terminal of maintenance personnel;
the retrieval distribution unit is used for acquiring real-time position information of maintenance personnel through the control information acquisition unit, acquiring all power plants in a preset area by taking the real-time position of the maintenance personnel as a midpoint, and acquiring an element replacement recommendation set through the data storage unit in real time; the retrieval distribution unit is also used for combining the acquired information to generate a dynamic maintenance set of the power plant and sending the dynamic maintenance set to corresponding matched maintenance personnel;
the optimized display unit is used for acquiring the power element information under the same electric appliance monomer after acquiring the dynamic maintenance set of the power plant generated by the retrieval and distribution unit in real time, reconstructing and generating a plurality of monomer recommendation sets, and transmitting the monomer recommendation set with the nearest position to the mobile phone terminal of a maintainer; and when the maintainer replaces the aged electrical components, removing the aged electrical components from the monomer recommendation set and the power plant dynamic maintenance set.
Further, the power element information includes power operation information, internal environment information, and external environment information; wherein the power operation information includes input current, output current and sound loudness, and wherein the internal environment information includes average temperature and average humidity in the electrical components; wherein the external environmental information includes an average temperature and an average humidity within the appliance unit.
Further, the receiving and analyzing unit comprises an early warning characteristic value generating unit, and the specific generating process of the following early warning characteristic values is executed in the early warning characteristic value generating unit:
step one, subtracting the input current and the output current at the same moment to obtain a current difference; subtracting the average temperature in the electric appliance unit from the average temperature in the electric appliance element at the same moment and calculating the absolute value of the difference; subtracting the average humidity in the electric appliance unit from the average humidity in the electric appliance element at the same moment and obtaining the absolute value of the average humidity to obtain a humidity difference;
step two, constructing and generating a current difference-time curve, a temperature difference-time curve and a humidity difference-time curve according to the current difference, the temperature difference and the humidity difference of preset time;
comparing the current difference-time curve with a preset current curve: overlapping the time axis as a reference, marking the current difference on a current difference-time curve as Ti, marking the current difference on a preset current curve as Ti, and carrying out difference analysis on the current differences of the two strips to obtain an element abnormal characteristic value:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein n is a preset time;
comparing the temperature difference-time curve with a preset temperature difference curve: overlapping the time axis serving as a reference, marking the temperature difference on a temperature difference-time curve as Wi, marking the temperature difference on a preset temperature difference curve as Wi, and performing difference analysis on the temperature differences of the two to obtain a temperature anomaly characteristic value:
；
comparing the wet difference-time curve with a preset wet difference curve: overlapping the time axis as a reference, marking the humidity difference on a humidity difference-time curve as Si, marking the humidity difference on a preset humidity difference curve as Si, and carrying out difference analysis on the humidity differences of the two to obtain a humidity abnormal characteristic value:
；
and thirdly, carrying out normalization calculation on the element abnormal characteristic value T0, the temperature abnormal characteristic value W0 and the humidity abnormal characteristic value S0 to obtain an early warning characteristic value.
Further, the specific processing procedure of the component replacement recommendation set is as follows:
comparing the early warning characteristic value with a preset characteristic value, and when the early warning characteristic value is smaller than or equal to the preset characteristic value, not carrying out early warning, otherwise, subtracting the early warning characteristic value from the preset characteristic value to obtain an early warning feedback value; accumulating to obtain the total value of the early warning feedback value, and multiplying the total value with a conversion factor to obtain a decay degree value, wherein the conversion factor is a constant between the decay degree value and the total value of the early warning feedback value; then comparing the decay degree value with a preset interval,
when the decay degree value is smaller than the minimum value of the preset interval, no signal is generated, and when the decay degree value is larger than the maximum value of the preset feedback interval, a replacement recommendation signal is generated; otherwise, generating a pending signal;
extracting power element information corresponding to all replacement recommendation signals in real time, sequencing the power element information according to the decay degree value and generating an element replacement recommendation set; and extracting the power element information corresponding to all the undetermined signals in real time, sequencing the power element information according to the decay degree value, and generating an element undetermined recommended set.
Further, in the retrieval and distribution unit, the obtained information is combined, a dynamic maintenance set of the power plant is generated and sent to corresponding matched maintenance personnel, and the method comprises the following sub-steps:
step one, acquiring real-time position information of maintenance personnel, and acquiring all power plants in a preset area by taking the real-time position of the maintenance personnel as a midpoint; acquiring an element replacement recommendation set in real time;
step two, the names of maintenance personnel maintenance power elements are called from a maintenance personnel database, then the power elements matched with the maintenance personnel maintenance power names in the recommended collection are replaced through the names of the maintenance power elements and the power plant screening elements, and the screened electric elements are arranged from large to small according to decay degree values of the electric elements to generate a power plant dynamic maintenance collection; when the number of the dynamic maintenance sets of the power plant is equal to 1, the dynamic maintenance sets of the power plant are directly sent to mobile phone terminals of maintenance personnel; when the number of the dynamic maintenance sets of the power plant is more than or equal to 2, acquiring the path distance between maintenance personnel and the power plant through a map, acquiring the number of the power element information in the dynamic maintenance sets of the power plant, acquiring the average decay degree value corresponding to the power element information in the power plant, and carrying out normalized analysis on the path distance, the number of the power element information and the average decay degree value to obtain a recommended reference value;
and thirdly, after sorting the plurality of recommended reference values from large to small, reconstructing a recommended optimization set by combining the dynamic maintenance sets of the power plant, and sending the recommended optimization set to a mobile phone terminal of a maintainer, so that the maintainer automatically accesses the dynamic maintenance set of the power plant with the first sorted recommended optimization set, and then highlighting and unfolding the information of the electric power elements with the first sorted dynamic maintenance set of the power plant.
Further, the specific working process of the optimized display unit is as follows:
after a dynamic maintenance set of a power plant is obtained in real time, electric element information under the same-electric-appliance single body is obtained, a plurality of single body recommendation sets are reconstructed and generated, and the single body recommendation set with the nearest position is sent to a mobile phone terminal of a maintainer; and when the maintainer replaces the aged electrical components, removing the aged electrical components from the monomer recommendation set and the power plant dynamic maintenance set.
Further, the maintenance processing information includes a name of a maintenance person, a contact phone, an identification card number and a name of a power element, the power element information includes a power element name and position information, and the position information includes a position of an electric element in an electric element, a position of the electric element in a power plant and a position of the power plant in a map.
Further, the monitoring service center is further used for sequencing, screening and optimizing the power elements in the dynamic maintenance set of the power plant to generate a plurality of monomer recommendation sets.
Further, the monitoring service center is further used for sequencing the power elements in the single recommendation set and the dynamic maintenance set of the power plant and sending the power elements to a mobile phone terminal of a maintainer for display, so that the function of automatic recommendation of maintenance is realized.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
the invention registers and generates a maintainer database and an element position database, integrates and generalizes different power plants, different power units or equipment and the same power elements through the element position database so as to facilitate the subsequent matching and screening work, acquires power element information of multiple power elements, carries out multistage processing to generate decay degree values, judges power element faults through the decay degree values so as to generate an element replacement recommendation set of a fault element, searches the power elements in the element replacement recommendation set at the peripheral position by the position of a maintainer so as to preliminarily screen the power elements to form at least one monomer recommendation set, and sends a single monomer recommendation set to a mobile phone terminal of the maintainer or sends a monomer recommendation set closest to the maintainer in the multiple monomer recommendation sets to a mobile phone terminal of the maintainer so as to realize the function of automatic recommendation management.
Drawings
FIG. 1 shows a block diagram of the structure of the present invention;
fig. 2 shows a block flow diagram of the monitoring service center.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in fig. 1 and fig. 2, an intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things comprises an electric appliance unit, wherein a plurality of electric power elements are arranged in the electric appliance unit, electric energy produced by the intelligent power plant is dynamically processed through the electric power elements, the electric appliance unit is connected with a monitoring service center based on the internet of things signal, and the monitoring service center is connected with an information acquisition unit, a generalization reconstruction unit and a registration login unit; the monitoring service center comprises a receiving and analyzing unit, a data storage unit, a retrieval and distribution unit and an optimized display unit, wherein the data storage unit is used for receiving and storing data.
The registration login unit is used for submitting maintenance processing information through the mobile phone terminal by maintenance personnel for registration, and sending the maintenance processing information which is successfully registered to the monitoring service center for storage, so as to generate a maintenance personnel database; wherein the maintenance processing information comprises the name of maintenance personnel, contact telephone, identification card number and the name of the power element; the power element information is input through the mobile phone terminal and is sent to the monitoring service center for storage; the power element information comprises a power element name and position information, wherein the position information comprises the position of an electric element in an electric unit, the position of the electric unit in a power plant and the position of the power plant in a map; the location information of the power plant in the map is typically registered through a Goldmap or a Tencel map for use by subsequent staff.
The inductive reconstruction unit acquires all the electric power element information through the monitoring service center, extracts the electric power element names in the electric power element information, marks the electric power element names with the same names, combines the position information to generate a plurality of groups of element position information sets, and sends the element position information sets to the monitoring service center for storage and generates an element position database.
The information acquisition unit acquires the information of the electric power element within a preset time and sends the information to the receiving and analyzing unit of the monitoring service center; wherein the power element information includes power operation information, internal environment information, and external environment information; wherein the electrical power operation information of the electrical component includes an input current, an output current, and a sound loudness, and wherein the internal environment information includes an average temperature and an average humidity within the electrical component; wherein the external environmental information includes an average temperature and an average humidity within the appliance unit.
The receiving and analyzing unit receives and analyzes the power element information of the preset time, and the specific process of analysis is as follows:
subtracting the input current and the output current at the same moment to obtain a current difference; the larger the current difference, the more unstable the current flow;
subtracting the average temperature in the electric appliance unit from the average temperature in the electric appliance element at the same moment and obtaining the absolute value of the average temperature to obtain a temperature difference, wherein the larger the temperature difference is, the larger the external environment is, the more serious the influence is caused on the internal environment;
subtracting the average humidity in the electric appliance unit from the average humidity in the electric appliance element at the same moment and obtaining the absolute value of the average humidity to obtain a humidity difference; the larger the humidity difference is, the larger the external environment is interfering with the internal environment, and the more serious the influence is caused;
then, respectively constructing and generating a current difference-time curve, a temperature difference-time curve and a humidity difference-time curve according to the current difference, the temperature difference and the humidity difference of preset time;
comparing the current difference-time curve with a preset current curve: overlapping the time axis as a reference, marking the current difference on a current difference-time curve as Ti, marking the current difference on a preset current curve as Ti, and carrying out difference analysis on the current differences of the two strips to obtain an element abnormal characteristic value:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein n is a preset time;
comparing the temperature difference-time curve with a preset temperature difference curve: overlapping the time axis serving as a reference, marking the temperature difference on a temperature difference-time curve as Wi, marking the temperature difference on a preset temperature difference curve as Wi, and performing difference analysis on the temperature differences of the two to obtain a temperature anomaly characteristic value:
；
comparing the wet difference-time curve with a preset wet difference curve: overlapping the time axis as a reference, marking the humidity difference on a humidity difference-time curve as Si, marking the humidity difference on a preset humidity difference curve as Si, and carrying out difference analysis on the humidity differences of the two to obtain a humidity abnormal characteristic value:
；
carrying out normalization calculation on the element abnormal characteristic value T0, the temperature abnormal characteristic value W0 and the humidity abnormal characteristic value S0 to obtain an early warning characteristic value;
the formula of the normalization calculation is
Wherein A is an early warning characteristic value, and e1, e2, e3, e4 and e5 are characteristic weight parameters, and the characteristic weight parameters enable a calculated result to be more approximate to a true value; e1+e2+e3+e4+e5=8.95, and e4 > e2 > e5 > e1 > e3.
Judging the decay situation of the electrical element within the preset time through the early warning characteristic value; and comparing the early warning characteristic value with a preset characteristic value, and when the early warning characteristic value is smaller than or equal to the preset characteristic value, not carrying out early warning, which means that the influence on the aging of the electrical element is relatively small, otherwise, subtracting the early warning characteristic value from the preset characteristic value to obtain an early warning feedback value; the early warning feedback value indicates that the aging change is abnormal, so that the decay degree of the aging change is accelerated.
Accumulating to obtain the total value of the early warning feedback value, and multiplying the total value with a conversion factor to obtain a decay degree value, wherein the conversion factor is a constant between the decay degree value and the total value of the early warning feedback value, so that the value generated by analog calculation is more approximate to a real value; comparing the decay degree value with a preset interval, generating no signal when the decay degree value is smaller than the minimum value of the preset interval, and generating a replacement recommended signal when the decay degree value is larger than the maximum value of the preset feedback interval; otherwise, a pending signal is generated.
Extracting power element information corresponding to all replacement recommendation signals in real time, sequencing the power element information according to the decay degree value and generating an element replacement recommendation set; extracting power element information corresponding to all undetermined signals in real time, sequencing the power element information according to the decay degree value and generating an element undetermined recommendation set; and sending the element replacement recommendation set and the element pending recommendation set to a data storage unit for storage, and sending the element replacement recommendation set to a mobile phone terminal of a maintainer for display.
The retrieval distribution unit acquires real-time position information of maintenance personnel through the control information acquisition unit, and acquires all power plants in a preset area by taking the real-time position of the maintenance personnel as a midpoint; and acquiring the component replacement recommendation set in real time through the data storage unit.
The names of maintenance personnel maintenance power elements are called from a maintenance personnel database, the power elements matched with the maintenance personnel maintenance power names in a power plant screening element replacement recommendation set are replaced through the names of the maintenance power elements, and the screened electric elements are arranged from large to small according to decay degree values of the electric elements to generate a power plant dynamic maintenance set; when the number of the dynamic maintenance sets of the power plant is equal to 1, the dynamic maintenance sets of the distributed power plant are directly sent to mobile phone terminals of maintenance personnel; when the number of dynamic maintenance sets of the power plant is more than or equal to 2: acquiring the path distance between the maintainer and the power plant through a map, wherein the smaller the path distance is, the closer the distance between the power plant and the maintainer is, and the faster the replacement speed is; the number of the power element information in the dynamic maintenance set of the power plant is acquired, and addresses do not need to be replaced frequently as the number is larger, so that the working efficiency is higher; and acquiring an average decay degree value corresponding to the power element information in the power plant, wherein when the average decay degree value is larger, the aging degree of the electric elements is larger, and the electric elements need to be replaced earlier in sequence.
And carrying out normalized analysis on the path distance, the number of the power element information and the average decay degree value to obtain a recommended reference value. The specific process of the primary analysis is as follows:
the path distance, the number of the power element information and the average decay degree value are marked as K, P and L, and are further processed by the formula
Obtaining a recommended reference value B, wherein the larger the recommended reference value B is, the priority recommendation is carried out; the method comprises the steps of sorting a plurality of recommended reference values from large to small, then reconstructing a recommended optimization set by combining power plant dynamic maintenance sets, sending the recommended optimization set to a mobile phone terminal of a maintainer, enabling the maintainer to automatically access the power plant dynamic maintenance set with the first ordered recommended optimization set, and highlighting and unfolding power element information with the first ordered power element in the power plant dynamic maintenance set, so that the maintainer can be quickly locked to an aging state to be replacedElectrical components, thereby maintaining the power components that are earlier in the sequence.
The optimized display unit acquires the power element information under the same electric appliance monomer after acquiring the dynamic maintenance set of the power plant generated by the retrieval distribution unit in real time, and reconstructs and generates a plurality of monomer recommendation sets, and the monomer recommendation set with the nearest position is sent to the first row of the mobile phone terminal of the maintainer; further divide the screening to the electric power component to the maintainer more convenient swift processing is with electric power component under the electrical apparatus monomer, after the maintainer is with the electrical apparatus component of ageing changed, then with it follow monomer recommendation collection and the dynamic maintenance of power plant in the collection reject the processing, make the electrical apparatus component that the ageing of more convenient accurate locking of maintainer wait to be changed on the one hand, the other party carries out regular induction unification in order to improve holistic change efficiency.
According to the technical scheme, the maintenance personnel database and the element position database are registered and generated, different power plants, different power units or equipment and the same power elements are integrated and induced through the element position database so as to facilitate subsequent matching and screening, the power element information of multiple power elements is collected and subjected to multistage processing to generate decay degree values, the power element faults are judged through the decay degree values so as to generate element replacement recommendation sets of fault elements, the power elements in the element replacement recommendation sets at the peripheral positions are searched according to the positions of the maintenance personnel so as to conduct primary screening on the element replacement recommendation sets to form at least one monomer recommendation set, and a single monomer recommendation set is sent to a mobile phone terminal of the maintenance personnel or a mobile phone terminal of the maintenance personnel, which is nearest to the maintenance personnel, of the multiple monomer recommendation sets so as to achieve the function of automatic recommendation management.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (10)
1. The intelligent power plant intelligent monitoring early warning maintenance management system based on the Internet of things comprises an electric appliance unit, wherein a plurality of electric power elements are arranged in the electric appliance unit;
the registration and login unit is used for submitting maintenance processing information through the mobile phone terminal by a maintainer for registration and sending the maintenance processing information which is successfully registered to the monitoring service center for storage, so as to generate a maintainer database, and is also used for inputting electric element information through the mobile phone terminal and sending the electric element information to the monitoring service center for storage;
the induction reconstruction unit is used for acquiring the power element information through the monitoring service center, extracting the power element names in the power element information, marking the power elements with the same names, combining the power element names with the position information to generate a plurality of groups of element position information sets, and sending the element position information sets to the monitoring service center for storage to generate an element position database;
the information acquisition unit is used for acquiring the power element information of the electric appliance unit and the real-time position information of maintenance personnel in a preset time and sending the information to the monitoring service center;
the monitoring service center is used for receiving and storing the information from the registration login unit, the induction reconstruction unit and the information acquisition unit, extracting and analyzing the power element information at the same time, generating an early warning feedback value corresponding to the power element information, accumulating and acquiring the total value of the early warning feedback value, multiplying the total value of the early warning feedback value and a conversion factor corresponding to the total value of the early warning feedback value to obtain a decay degree value, and judging and generating an element replacement recommendation set through the decay degree value;
the monitoring service center is further used for carrying out combined processing on the element replacement recommendation set, the element position database, the maintainer database and the real-time position information of the maintainers to obtain a dynamic maintenance set of the power plant.
2. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 1, wherein the monitoring service center further comprises a receiving and analyzing unit, a data storage unit, a retrieval and distribution unit and an optimizing display unit;
the information acquisition unit is used for acquiring the information of the electric power element within the preset time and sending the information to the receiving and analyzing unit of the monitoring service center;
the receiving and analyzing unit is used for receiving the power element information of preset time and analyzing to generate an element replacement recommendation set and an element pending recommendation set; the two sets are sent to a data storage unit for storage, and element replacement recommendation sets in the two sets are displayed on a mobile phone terminal of maintenance personnel;
the retrieval distribution unit is used for acquiring real-time position information of maintenance personnel through the control information acquisition unit, acquiring all power plants in a preset area by taking the real-time position of the maintenance personnel as a midpoint, and acquiring an element replacement recommendation set through the data storage unit in real time; the retrieval distribution unit is also used for combining the acquired information to generate a dynamic maintenance set of the power plant and sending the dynamic maintenance set to corresponding matched maintenance personnel;
the optimized display unit is used for acquiring the power element information under the same electric appliance monomer after acquiring the dynamic maintenance set of the power plant generated by the retrieval and distribution unit in real time, reconstructing and generating a plurality of monomer recommendation sets, and transmitting the monomer recommendation set with the nearest position to the mobile phone terminal of a maintainer; and when the maintainer replaces the aged electrical components, removing the aged electrical components from the monomer recommendation set and the power plant dynamic maintenance set.
3. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 2, wherein the power element information comprises power operation information, internal environment information and external environment information; wherein the power operation information includes input current, output current and sound loudness, and wherein the internal environment information includes average temperature and average humidity in the electrical components; wherein the external environmental information includes an average temperature and an average humidity within the appliance unit.
4. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 3, wherein the receiving and analyzing unit comprises an early warning characteristic value generating unit, and the specific generation process of the following early warning characteristic values is executed in the early warning characteristic value generating unit:
step one, subtracting the input current and the output current at the same moment to obtain a current difference; subtracting the average temperature in the electric appliance unit from the average temperature in the electric appliance element at the same moment and calculating the absolute value of the difference; subtracting the average humidity in the electric appliance unit from the average humidity in the electric appliance element at the same moment and obtaining the absolute value of the average humidity to obtain a humidity difference;
step two, constructing and generating a current difference-time curve, a temperature difference-time curve and a humidity difference-time curve according to the current difference, the temperature difference and the humidity difference of preset time;
comparing the current difference-time curve with a preset current curve: overlapping the time axis as a reference, marking the current difference on a current difference-time curve as Ti, marking the current difference on a preset current curve as Ti, and carrying out difference analysis on the current differences of the two strips to obtain an element abnormal characteristic value:
the method comprises the steps of carrying out a first treatment on the surface of the Wherein n is a preset time;
comparing the temperature difference-time curve with a preset temperature difference curve: overlapping the time axis serving as a reference, marking the temperature difference on a temperature difference-time curve as Wi, marking the temperature difference on a preset temperature difference curve as Wi, and performing difference analysis on the temperature differences of the two to obtain a temperature anomaly characteristic value:
；
comparing the wet difference-time curve with a preset wet difference curve: overlapping the time axis as a reference, marking the humidity difference on a humidity difference-time curve as Si, marking the humidity difference on a preset humidity difference curve as Si, and carrying out difference analysis on the humidity differences of the two to obtain a humidity abnormal characteristic value:
；
and thirdly, carrying out normalization calculation on the element abnormal characteristic value T0, the temperature abnormal characteristic value W0 and the humidity abnormal characteristic value S0 to obtain an early warning characteristic value.
5. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 4, wherein the specific processing procedure of the element replacement recommendation set is as follows:
comparing the early warning characteristic value with a preset characteristic value, and when the early warning characteristic value is smaller than or equal to the preset characteristic value, not carrying out early warning, otherwise, subtracting the early warning characteristic value from the preset characteristic value to obtain an early warning feedback value; accumulating to obtain the total value of the early warning feedback value, and multiplying the total value with a conversion factor to obtain a decay degree value, wherein the conversion factor is a constant between the decay degree value and the total value of the early warning feedback value; then comparing the decay degree value with a preset interval,
when the decay degree value is smaller than the minimum value of the preset interval, no signal is generated, and when the decay degree value is larger than the maximum value of the preset feedback interval, a replacement recommendation signal is generated; otherwise, generating a pending signal;
extracting power element information corresponding to all replacement recommendation signals in real time, sequencing the power element information according to the decay degree value and generating an element replacement recommendation set; and extracting the power element information corresponding to all the undetermined signals in real time, sequencing the power element information according to the decay degree value, and generating an element undetermined recommended set.
6. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 3, wherein in the retrieval and distribution unit, the acquired information is combined to generate a power plant dynamic maintenance set and send the power plant dynamic maintenance set to corresponding matched maintenance personnel, and the intelligent power plant intelligent monitoring early warning maintenance management system comprises the following sub-steps:
step one, acquiring real-time position information of maintenance personnel, and acquiring all power plants in a preset area by taking the real-time position of the maintenance personnel as a midpoint; acquiring an element replacement recommendation set in real time;
step two, the names of maintenance personnel maintenance power elements are called from a maintenance personnel database, then the power elements matched with the maintenance personnel maintenance power names in the recommended collection are replaced through the names of the maintenance power elements and the power plant screening elements, and the screened electric elements are arranged from large to small according to decay degree values of the electric elements to generate a power plant dynamic maintenance collection; when the number of the dynamic maintenance sets of the power plant is equal to 1, the dynamic maintenance sets of the power plant are directly sent to mobile phone terminals of maintenance personnel; when the number of the dynamic maintenance sets of the power plant is more than or equal to 2, acquiring the path distance between maintenance personnel and the power plant through a map, acquiring the number of the power element information in the dynamic maintenance sets of the power plant, acquiring the average decay degree value corresponding to the power element information in the power plant, and carrying out normalized analysis on the path distance, the number of the power element information and the average decay degree value to obtain a recommended reference value;
and thirdly, after sorting the plurality of recommended reference values from large to small, reconstructing a recommended optimization set by combining the dynamic maintenance sets of the power plant, and sending the recommended optimization set to a mobile phone terminal of a maintainer, so that the maintainer automatically accesses the dynamic maintenance set of the power plant with the first sorted recommended optimization set, and then highlighting and unfolding the information of the electric power elements with the first sorted dynamic maintenance set of the power plant.
7. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 6, wherein the specific working process of the optimized display unit is as follows:
after a dynamic maintenance set of a power plant is obtained in real time, electric element information under the same-electric-appliance single body is obtained, a plurality of single body recommendation sets are reconstructed and generated, and the single body recommendation set with the nearest position is sent to a mobile phone terminal of a maintainer; and when the maintainer replaces the aged electrical components, removing the aged electrical components from the monomer recommendation set and the power plant dynamic maintenance set.
8. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 1, wherein the maintenance processing information comprises names of maintenance personnel, contact phones, identification numbers and names of power elements, the power element information comprises the names of the power elements and position information, the position information comprises positions of electric elements in an electric appliance unit, the positions of the electric appliance unit in a power plant and the positions of the power plant in a map.
9. The intelligent power plant intelligent monitoring early warning maintenance management system based on the internet of things according to claim 1, wherein the monitoring service center is further used for sequencing, screening and optimizing power elements in a power plant dynamic maintenance set to generate a plurality of monomer recommendation sets.
10. The intelligent power plant intelligent monitoring early warning maintenance management system based on the Internet of things according to claim 1, wherein the monitoring service center is further used for sequencing power elements in a single recommendation set and a power plant dynamic maintenance set and sending the power elements to a mobile phone terminal of a maintainer for display, so that the function of automatic maintenance recommendation is realized.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310297979.2A CN116032977B (en) | 2023-03-24 | 2023-03-24 | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things |
| PCT/CN2024/087421 WO2024199540A1 (en) | 2023-03-24 | 2024-04-12 | Internet of things-based intelligent monitoring and early-warning maintenance management system for intelligent power plant |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310297979.2A CN116032977B (en) | 2023-03-24 | 2023-03-24 | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116032977A CN116032977A (en) | 2023-04-28 |
| CN116032977B true CN116032977B (en) | 2023-05-30 |
Family
ID=86089484
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310297979.2A Active CN116032977B (en) | 2023-03-24 | 2023-03-24 | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN116032977B (en) |
| WO (1) | WO2024199540A1 (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116032977B (en) * | 2023-03-24 | 2023-05-30 | 中国电力工程顾问集团西南电力设计院有限公司 | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2017100209A4 (en) * | 2016-09-09 | 2017-04-06 | Vision Intelligence Pty Ltd | Monitoring device |
| CN110971666A (en) * | 2019-11-01 | 2020-04-07 | 湖南深拓智能设备股份有限公司 | Internet of things management system and communication method thereof |
| KR102099657B1 (en) * | 2019-08-19 | 2020-04-10 | (주)에스유지 | Method for monotoring sensor for laying things of basement employing IoT platform |
| CN214314713U (en) * | 2020-10-27 | 2021-09-28 | 北京智芯微电子科技有限公司 | Temperature monitoring device and system of power grid terminal |
| CN113986655A (en) * | 2021-10-11 | 2022-01-28 | 上海轻迅信息科技有限公司 | Data acquisition and analysis system and platform based on monitoring equipment |
| CN114465361A (en) * | 2022-02-16 | 2022-05-10 | 海澜智云(上海)数据科技有限公司 | Electric power engineering monitoring system based on thing networking |
| CN114866576A (en) * | 2022-04-02 | 2022-08-05 | 广东新邦智联科技有限公司 | Power equipment management method, device, equipment and storage medium based on Internet of things |
| CN114978814A (en) * | 2022-06-24 | 2022-08-30 | 北京合众伟奇科技股份有限公司 | Shared power utilization gateway and system based on power Internet of things |
| CN114971173A (en) * | 2022-04-18 | 2022-08-30 | 国网安徽省电力有限公司电力科学研究院 | Transmission of electricity panorama wisdom management and control platform based on internet of things |
| CN115149637A (en) * | 2022-06-13 | 2022-10-04 | 北京天能继保电力科技有限公司 | Intelligent operation and maintenance method, operation and maintenance, monitoring system and medium for power distribution network |
| CN115361405A (en) * | 2022-07-27 | 2022-11-18 | 上海杰狮信息技术有限公司 | Internet of things equipment management method based on Internet of things platform, internet of things platform and readable storage medium |
| CN115714794A (en) * | 2022-11-10 | 2023-02-24 | 上海九物科技有限公司 | Internet of things intelligent acquisition device based on information acquisition |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190339688A1 (en) * | 2016-05-09 | 2019-11-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things |
| CN112703457A (en) * | 2018-05-07 | 2021-04-23 | 强力物联网投资组合2016有限公司 | Method and system for data collection, learning and machine signal streaming for analysis and maintenance using industrial internet of things |
| CN111695706A (en) * | 2020-06-16 | 2020-09-22 | 淮北市华明工业变频设备有限公司 | Main control board circuit carrying supervisory system based on Internet of things |
| CN114362376A (en) * | 2022-03-19 | 2022-04-15 | 山东中安电力科技有限公司 | Box-type substation health state monitoring system based on big data analysis |
| CN116032977B (en) * | 2023-03-24 | 2023-05-30 | 中国电力工程顾问集团西南电力设计院有限公司 | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things |
-
2023
- 2023-03-24 CN CN202310297979.2A patent/CN116032977B/en active Active
-
2024
- 2024-04-12 WO PCT/CN2024/087421 patent/WO2024199540A1/en unknown
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2017100209A4 (en) * | 2016-09-09 | 2017-04-06 | Vision Intelligence Pty Ltd | Monitoring device |
| KR102099657B1 (en) * | 2019-08-19 | 2020-04-10 | (주)에스유지 | Method for monotoring sensor for laying things of basement employing IoT platform |
| CN110971666A (en) * | 2019-11-01 | 2020-04-07 | 湖南深拓智能设备股份有限公司 | Internet of things management system and communication method thereof |
| CN214314713U (en) * | 2020-10-27 | 2021-09-28 | 北京智芯微电子科技有限公司 | Temperature monitoring device and system of power grid terminal |
| CN113986655A (en) * | 2021-10-11 | 2022-01-28 | 上海轻迅信息科技有限公司 | Data acquisition and analysis system and platform based on monitoring equipment |
| CN114465361A (en) * | 2022-02-16 | 2022-05-10 | 海澜智云(上海)数据科技有限公司 | Electric power engineering monitoring system based on thing networking |
| CN114866576A (en) * | 2022-04-02 | 2022-08-05 | 广东新邦智联科技有限公司 | Power equipment management method, device, equipment and storage medium based on Internet of things |
| CN114971173A (en) * | 2022-04-18 | 2022-08-30 | 国网安徽省电力有限公司电力科学研究院 | Transmission of electricity panorama wisdom management and control platform based on internet of things |
| CN115149637A (en) * | 2022-06-13 | 2022-10-04 | 北京天能继保电力科技有限公司 | Intelligent operation and maintenance method, operation and maintenance, monitoring system and medium for power distribution network |
| CN114978814A (en) * | 2022-06-24 | 2022-08-30 | 北京合众伟奇科技股份有限公司 | Shared power utilization gateway and system based on power Internet of things |
| CN115361405A (en) * | 2022-07-27 | 2022-11-18 | 上海杰狮信息技术有限公司 | Internet of things equipment management method based on Internet of things platform, internet of things platform and readable storage medium |
| CN115714794A (en) * | 2022-11-10 | 2023-02-24 | 上海九物科技有限公司 | Internet of things intelligent acquisition device based on information acquisition |
Non-Patent Citations (3)
| Title |
|---|
| Energy efficient network architecture for IOT application;Sarwesh P et al;《IEEE》;全文 * |
| 基于NB-IoT的箱式变电站安全预警系统研究与设计;马国栋;《中国优秀硕士学位论文全文数据库》;全文 * |
| 基于物联网技术的电力物资监控平台设计及应用研究;赵月等;《电子测试》;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116032977A (en) | 2023-04-28 |
| WO2024199540A1 (en) | 2024-10-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116032977B (en) | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things | |
| CN110727662A (en) | Low-voltage transformer area user phase identification method and system based on correlation analysis | |
| Wang et al. | Classification of power quality events using optimal time-frequency representations-part 1: Theory | |
| CN111080105A (en) | Transformer area user-to-user relationship identification method and system based on voltage time sequence data | |
| CN111147306B (en) | Fault analysis method and device of Internet of things equipment and Internet of things platform | |
| CN106529786A (en) | Power distribution network load calibration method and power distribution network load calibration device based on big data analysis | |
| CN111999591A (en) | Method for identifying abnormal state of primary equipment of power distribution network | |
| CN118033409B (en) | GCB arc extinguishing chamber switch resistance testing method | |
| CN113627547B (en) | Training method, arc detection device, electronic equipment and storage medium | |
| CN117932358A (en) | Intelligent remote electric field fault diagnosis method and system | |
| Bala et al. | Random forest based fault analysis method in IEEE 14 bus system | |
| CN113869457A (en) | Cluster analysis-based distribution room phase identification method and device | |
| CN105634781B (en) | Multi-fault data decoupling method and device | |
| CN117783723A (en) | Highway electric energy quality monitoring method, system, terminal and storage medium | |
| CN112149731A (en) | Power system fault classification method and system based on ID3 algorithm | |
| KR101375282B1 (en) | System and method for electric power system data abbreviation | |
| CN116540038A (en) | Insulation state monitoring method and device for capacitor bank | |
| CN111277221A (en) | Photovoltaic fault diagnosis method and device | |
| CN115169405B (en) | Hotel guest room equipment fault diagnosis method and system based on support vector machine | |
| CN113985239B (en) | String bypass diode fault identification method, device, equipment and storage medium | |
| CN115765153A (en) | Method and system for fusion monitoring of Internet of things and online monitoring data of primary electric power equipment | |
| CN111222781B (en) | Fault diagnosis method and device, and storage medium | |
| CN110245617A (en) | Artificial intelligence analysis's method based on transient state recording waveform | |
| CN111427930A (en) | Low-voltage photovoltaic energy storage microgrid device monitoring management system, method and device | |
| CN111882284A (en) | Operation monitoring method and system for distributed power supply grid connection |
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 |