Transparent monitoring method, system and equipment for distribution room of residential area and medium

Abstract

The invention discloses a transparent monitoring method, a transparent monitoring system, transparent monitoring equipment and a transparent monitoring medium for a distribution room in a residential area. The transparent monitoring method comprises the following steps: acquiring basic data of monitored equipment in the residential area; the basic data comprises environment parameters and equipment states of the monitored equipment; preprocessing the basic data, and establishing a basic database; performing feature selection and extraction on the data in the basic database to obtain fault features; establishing a feature database according to the fault features; according to the feature database, training a preset fault diagnosis model to obtain a trained fault diagnosis model; deploying the trained fault diagnosis model to a transparent distribution room management system; and obtaining real-time basic data, and carrying out real-time abnormity monitoring on the equipment based on a fault diagnosis model in the transparent power distribution room management system to obtain a fault diagnosis result. The monitoring method is high in accuracy and efficiency, and comprehensive and real-time monitoring and intelligent management and control of the community power distribution equipment are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of residential area power distribution room monitoring, and particularly relates to a residential area power distribution room transparent monitoring method, system, device and medium. BACKGROUND

[0002] With the development of urbanization, the types and quantities of residential area power distribution equipment are increasing, and are widely distributed and applied in complex environments. However, current residential area power distribution stations are unattended and generally lack effective monitoring and management means, which causes problems such as insufficient equipment maintenance, delayed fault response, and the like. Therefore, in order to ensure the reliability and safety of the residential area power distribution system, improve the operation and maintenance efficiency and overall management level of the power distribution equipment, realize the rational use of electric energy and the energy saving and emission reduction target, it is necessary to transparently control the residential area power distribution system.

[0003] However, the traditional residential area power distribution monitoring method mostly adopts a manual inspection mode, which has the problems of huge maintenance workload, high operation and maintenance cost, low monitoring accuracy and efficiency, and cannot realize comprehensive and real-time monitoring and intelligent control of the residential area power distribution equipment, and cannot timely discover and handle potential safety hazards.

[0004] Therefore, the present application is proposed. SUMMARY

[0005] The present application solves the technical problem that the existing monitoring method has low accuracy and efficiency due to the large number of residential area equipment points, wide range, and huge maintenance workload, cannot realize comprehensive and real-time monitoring and intelligent control of the residential area power distribution equipment, and cannot timely discover and handle potential safety hazards. The present application aims to provide a residential area power distribution room transparent monitoring method, system, device and medium, which integrates advanced technologies such as Internet of Things, big data, and cloud computing, and combines a preset fault diagnosis model, realizes comprehensive and real-time monitoring and intelligent control of the residential area power distribution equipment, improves the operation and maintenance efficiency, reduces the operation and maintenance cost, timely discovers and handles potential safety hazards, thereby ensures the safety, reliability and efficiency of residential electricity, and promotes the intelligent upgrading and sustainable development of the power industry.

[0006] The present application is realized by the following technical scheme:

[0007] In a first aspect, the present application provides a residential area power distribution room transparent monitoring method, which comprises:

[0008] acquiring basic data of a monitored equipment in a residential area; the basic data includes environmental parameters and equipment states of the monitored equipment;

[0009] The basic data is preprocessed and a basic database is established; the data in the basic database is subjected to feature selection and extraction to obtain fault features; and a feature database is established according to the fault features;

[0010] The preset fault diagnosis model is trained according to the feature database to obtain a trained fault diagnosis model; and the trained fault diagnosis model is deployed into the transparent power distribution room management system; and

[0011] Real-time basic data is acquired, real-time abnormality monitoring of equipment is performed based on the fault diagnosis model in the transparent power distribution room management system, and a fault diagnosis result is obtained.

[0012] Further, the method further comprises:

[0013] A transparent management and control index system is constructed, and a management and control strategy generation algorithm is developed based on the transparent management and control index system and the fault diagnosis result; the management and control strategy is verified through actual operation data, and the management and control strategy generation algorithm is optimized according to the verification result.

[0014] Further, a transparent management and control index system is constructed, and a management and control strategy generation algorithm is developed based on the transparent management and control index system and the fault diagnosis result, comprising:

[0015] The relationship and development trend of the equipment state data and the power consumption data of the monitored equipment are analyzed, and a transparent management and control index system is constructed in combination with actual requirements;

[0016] and a management and control strategy generation algorithm is developed based on the transparent management and control index system and the fault diagnosis result;

[0017] The transparent management and control index system comprises power quality indexes and safety hazard indexes of the monitored equipment.

[0018] Further, the environmental parameters comprise temperature, humidity and smoke concentration; and the equipment state comprises a load state and an equipment aging degree.

[0019] Further, the preset fault diagnosis model adopts a density-based noise space clustering algorithm.

[0020] Further, the preset fault diagnosis model adopts a random forest algorithm model; and the training process of the preset fault diagnosis model is as follows:

[0021] The time domain features of the historical basic data and the fault types are input into the random forest algorithm model for model training;

[0022] During the training process, the fault diagnosis model is automatically corrected by the random forest algorithm, and verification analysis and result visualization are performed to determine whether the diagnosis model is reasonable, thereby obtaining the trained fault diagnosis model.

[0023] In a second aspect, the present application further provides a transparent monitoring system for a power distribution room in a residential area, which comprises:

[0024] An acquisition unit is configured to acquire basic data of a monitored device in the residential area; the basic data comprises environmental parameters and device states of the monitored device;

[0025] A database establishment unit is configured to pre-process the basic data and establish a basic database; perform feature selection and extraction on the data in the basic database to obtain fault features; and establish a feature database according to the fault features;

[0026] A model training and deployment unit is configured to train a preset fault diagnosis model according to the feature database to obtain a trained fault diagnosis model; and deploy the trained fault diagnosis model to a transparent power distribution room management system; and

[0027] A fault diagnosis unit is configured to acquire real-time basic data, perform real-time abnormality monitoring on the device based on the fault diagnosis model in the transparent power distribution room management system, and obtain a fault diagnosis result.

[0028] Further, the system further comprises:

[0029] An optimization unit is configured to construct a transparent control index system, develop a control strategy generation algorithm based on the transparent control index system and the fault diagnosis result, verify the control strategy through actual operation data, and optimize the control strategy generation algorithm according to the verification result.

[0030] In a third aspect, the present application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned transparent monitoring method for a power distribution room in a residential area when executing the computer program.

[0031] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement the above-mentioned transparent monitoring method for a power distribution room in a residential area.

[0032] In a fifth aspect, the present application further provides a computer program product, comprising computer programs / instructions, which are executed by a processor to implement the steps of the above-mentioned transparent monitoring method for a power distribution room in a residential area.

[0033] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0034] The present application discloses a kind of residential area power distribution room transparent monitoring method, system, equipment and medium, by integrating Internet of Things, big data, cloud computing and other advanced technologies, and in combination with preset fault diagnosis model, it is realized to the overall, real-time monitoring and intelligent management and control of community power distribution equipment, improve monitoring accuracy and efficiency, reduce operation and maintenance cost, discover and handle potential safety hazard in time, to guarantee the safety, reliable and efficient of residential electricity, promote the intelligent upgrading and sustainable development of electric power industry. BRIEF DESCRIPTION OF DRAWINGS

[0035] The drawings described herein are used to provide further understanding of the embodiments of the present application, constitute a part of the present application, and do not constitute a limitation on the embodiments of the present application. In the drawings:

[0036] Figure 1 A kind of residential area power distribution room transparent monitoring method flow chart of the present application;

[0037] Figure 2 A kind of residential area power distribution room transparent monitoring system structure block diagram of the present application;

[0038] Figure 3 A monitoring interface schematic diagram of the present application;

[0039] Figure 4 A monitoring result schematic diagram of the present application. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical scheme and advantages of the present application clearer and more apparent, the present application will be further described in detail below in combination with embodiments and drawings, the illustrative embodiments of the present application and its description are only used to explain the present application, and not as a limitation on the present application.

[0041] The present application takes the power distribution room of a residential area as the research object, and the system relies on advanced technologies such as intelligent sensors, edge computing, cloud services, big data analysis, and fusion databases. Through the intelligent sensors and monitoring hosts deployed on the side of the power distribution room of the residential area, the load operation state, environmental temperature and humidity, early fire particle concentration, and environmental video of the power distribution room of the residential area are monitored in all aspects. The monitoring data is collected in the local monitoring center and uploaded to the cloud for data processing by the transparent power distribution room monitoring application. Using big data analysis technology, the multi-dimensional state data of the power equipment of the residential area are deeply mined and analyzed to accurately identify abnormal phenomena, predict power equipment failures and load changes in the residential area, and intelligently generate disposal strategies to facilitate early maintenance and adjustment, timely detection of potential safety hazards, and prevention of fires and other accidents. The present application integrates data processing, monitoring and early warning, fault diagnosis, state evaluation, risk assessment, and maintenance recommendation functions, and has the advantages of intelligence, low latency, low energy consumption, and high reliability. In addition, the present application replaces the traditional manual inspection mode and significantly reduces the comprehensive cost.

[0042] The technical design points of the present application are: (1) technical fusion innovation: deeply integrating advanced technologies such as the Internet of Things, big data, and cloud computing into power distribution room operation and maintenance to improve operation and maintenance efficiency and intelligent level; (2) transparent control strategy: building a multi-dimensional transparent control index system to provide a scientific basis for state evaluation of power distribution equipment and generating effective control strategies.

[0043] Embodiment 1

[0044] As shown in Figure 1 A transparent monitoring method for a power distribution room of a residential area, the method comprising:

[0045] Step 1: Obtain the basic data of the monitored equipment in the residential area; the basic data includes environmental parameters and equipment state of the monitored equipment;

[0046] In this embodiment, the environmental parameters of the monitored equipment (such as transformers, switch cabinets, cables, low-voltage busbars, and batteries) in the residential area include temperature, humidity, and smoke concentration; the equipment state includes load state and equipment aging degree.

[0047] The application combines actual application and monitoring needs, selects appropriate sensors, designs efficient deployment strategies to ensure comprehensiveness and real-time of data, and formulates unified data acquisition standard protocols to ensure smooth data transmission between different sensors. Secondly, the unified data acquisition standard protocols, including data types, formats, transmission frequencies, etc., are opened for communication and data acquisition of various sensors, and data acquisition software modules are researched to ensure smooth data transmission between different sensors. Finally, in view of the situation that the power distribution equipment in residential areas is various in types, the communication protocols are different, and the data island phenomenon is serious, the data interface module development, data interaction protocol formulation, data integration test and other work are carried out to realize the connection with the State Grid database and ensure the accuracy and real-time of data transmission.

[0048] Step 2, preprocessing the basic data and establishing a basic database; selecting and extracting features from the data in the basic database to obtain fault features; and establishing a feature database according to the fault features;

[0049] In this embodiment, first, the basic data is preprocessed, including data cleaning, denoising, format conversion and other preprocessing operations, and a basic database is established to provide reliable data source for subsequent analysis;

[0050] Secondly, for the basic data of a large number of monitored equipment, the power equipment fault mode is researched, the feature selection and extraction algorithm is developed, the features with high contribution degree to fault diagnosis and prediction are screened out, and the feature database is established to provide support for subsequent model training.

[0051] Step 3, training the preset fault diagnosis model according to the feature database to obtain the trained fault diagnosis model; and deploying the trained fault diagnosis model into the transparent power distribution room management system;

[0052] In this embodiment, the preset fault diagnosis model can use different models:

[0053] (1) The density-based noise space clustering algorithm can be used to combine the feature database for model training, adjust the model parameters to improve the prediction accuracy, and perform model verification to evaluate the performance index of the model.

[0054] Specifically, the algorithm steps of the density-based noise space clustering algorithm are as follows:

[0055] (a) Initialization: randomly select a point p from the data set of the basic database, and judge whether it is a core point (i.e. The number of sample points in the neighborhood is greater than or equal to minPts (minimum number of points, which is an algorithm parameter));

[0056] (b) Extension of the cluster: if p is a core point, start a new cluster, add p and its neighbors to the cluster, and keep extending the neighborhood of new core points;

[0057] (c) Processing of noise points: if a point is neither in any cluster nor meets the condition of being a core point, mark it as a noise point;

[0058] (d) Repeat the process: continue to check all unvisited points until all points are visited.

[0059] (2) A random forest algorithm model can also be used; the training process of the preset fault diagnosis model is:

[0060] The time domain features (such as root mean square, variance, etc.) of historical basic data and fault types (such as normal data, partial discharge fault, high temperature fault, etc.) are input into the random forest algorithm model for model training;

[0061] During the training process, the fault diagnosis model is automatically corrected by the random forest algorithm, and verification analysis and result visualization are performed to determine whether the diagnosis model is reasonable, thereby obtaining a trained fault diagnosis model.

[0062] Step 4, obtain real-time basic data, and based on the fault diagnosis model in the transparent power distribution room management system, perform real-time abnormal monitoring on the equipment to obtain a fault diagnosis result.

[0063] In this embodiment, the collected real-time basic data is input into the fault diagnosis model, and the fault diagnosis result is output, which is normal or fault (partial discharge fault, high temperature fault, etc.).

[0064] Step 5, construct a transparent control index system, and based on the transparent control index system and the fault diagnosis result, develop a control strategy generation algorithm; verify the control strategy through actual operation data, and optimize and improve the control strategy generation algorithm according to the verification result.

[0065] In this embodiment, step 5 specifically includes:

[0066] Analyze the relationship and development trend of the device state data and the power consumption data of the monitored equipment, and construct a transparent control index system in combination with actual needs; wherein the transparent control index system includes multiple dimensions such as power quality indexes and safety hazard indexes of the monitored equipment;

[0067] and based on the transparent control index system and the fault diagnosis result, develop a control strategy generation algorithm;

[0068] The control strategy is verified by actual operation data, and the control strategy generation algorithm is optimized and improved according to the verification result. At the same time, the feedback opinions of the operation and maintenance personnel are collected, and the control strategy is continuously improved.

[0069] Embodiment 2

[0070] As shown in Figure 2 The difference between this embodiment and embodiment 1 is that this embodiment provides a transparent monitoring system for a power distribution room in a residential area, which corresponds to the transparent monitoring method for a power distribution room in a residential area in embodiment 1; the system comprises:

[0071] An acquisition unit is configured to acquire basic data of a monitored device in a residential area; the basic data includes environmental parameters and device status of the monitored device;

[0072] A database establishment unit is configured to preprocess the basic data and establish a basic database; perform feature selection and extraction on the data in the basic database to obtain fault features; and establish a feature database according to the fault features;

[0073] A model training and deployment unit is configured to train a pre-set fault diagnosis model according to the feature database to obtain a trained fault diagnosis model; and deploy the trained fault diagnosis model into a transparent power distribution room management system; and

[0074] A fault diagnosis unit is configured to acquire real-time basic data, perform real-time abnormality monitoring on the device based on the fault diagnosis model in the transparent power distribution room management system, and obtain a fault diagnosis result.

[0075] As a further implementation, the system further comprises:

[0076] An optimization unit is configured to construct a transparent control index system, develop a control strategy generation algorithm based on the transparent control index system and the fault diagnosis result, verify the control strategy by actual operation data, and optimize and improve the control strategy generation algorithm according to the verification result.

[0077] As a further implementation, the system further comprises:

[0078] An early warning unit is configured to provide prompt alarm information for the corresponding monitored device (transformer, low-voltage busbar, battery, etc.) based on the fault diagnosis result, provide fault device operation state information for the operation and maintenance personnel in time, and give corresponding maintenance suggestions.

[0079] In a specific implementation, taking a residential community as an example, after the power distribution room of the residential community completes the arrangement of all sensors, each monitoring data is uploaded to the monitoring system for calculation, monitoring and evaluation, the system interface transparently displays each data content, and provides the user with the equipment operation state information, and the monitoring interface is as shown in Figure 3 .

[0080] The monitoring result is as shown in Figure 4 , after the monitoring system is put into use, each monitoring quantity is prompted after diagnosis and evaluation, the transformer, the low-voltage busbar and the battery are prompted to alarm, the operation state information of the fault equipment can be provided for the operation and maintenance personnel in time, and the corresponding maintenance suggestion is given.

[0081] The execution process of each unit can be performed according to the process steps of the transparent monitoring method of the power distribution room of the residential community in Embodiment 1, and the embodiment will not be described again.

[0082] Meanwhile, the present application further provides an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to realize the transparent monitoring method of the power distribution room of the residential community.

[0083] Meanwhile, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the transparent monitoring method of the power distribution room of the residential community.

[0084] Meanwhile, the present application further provides a computer program product, which includes computer programs / instructions, and the computer programs / instructions are executed by a processor to realize the steps of the transparent monitoring method of the power distribution room of the residential community.

[0085] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0086] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0087] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0088] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0089] The above description is only specific implementation of the present application, and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for transparent monitoring of power distribution rooms in residential communities, characterized in that, The method includes: Acquire basic data of the monitored devices within the residential community; the basic data includes the environmental parameters and device status of the monitored devices. The basic data is preprocessed, and a basic database is established; features are selected and extracted from the data in the basic database to obtain fault features; and a feature database is established based on the fault features. Based on the feature database, a preset fault diagnosis model is trained to obtain a trained fault diagnosis model; and the trained fault diagnosis model is deployed to the transparent power distribution room management system; and Real-time basic data is acquired, and the equipment is monitored for anomalies in real time based on the fault diagnosis model in the transparent power distribution room management system to obtain fault diagnosis results.

2. The method for transparent monitoring of power distribution rooms in residential communities according to claim 1, characterized in that, The method also includes: A transparent management and control indicator system is constructed, and a management and control strategy generation algorithm is developed based on the transparent management and control indicator system and the fault diagnosis results. The management and control strategy is verified through actual operation data, and the management and control strategy generation algorithm is optimized based on the verification results.

3. The method for transparent monitoring of power distribution rooms in residential communities according to claim 2, characterized in that, A transparent management and control indicator system is constructed, and based on the transparent management and control indicator system and the fault diagnosis results, a management and control strategy generation algorithm is developed, including: Analyze the relationship and development trend between the equipment status data and power consumption data of the monitored equipment, and construct a transparent management and control indicator system based on actual needs; Based on the transparent management and control indicator system and the fault diagnosis results, a management and control strategy generation algorithm was developed. The transparent management and control indicator system includes power quality indicators and safety hazard indicators for the monitored equipment.

4. The method for transparent monitoring of power distribution rooms in residential communities according to claim 1, characterized in that, The environmental parameters include ambient temperature, humidity, and smoke concentration; the equipment status includes load status and equipment aging degree. The preset fault diagnosis model employs a density-based noise spatial clustering algorithm.

5. The method for transparent monitoring of power distribution rooms in residential communities according to claim 1, characterized in that, The preset fault diagnosis model adopts a random forest algorithm; the training process of the preset fault diagnosis model is as follows: The temporal characteristics and fault types of historical basic data are input into a random forest algorithm-based model for model training; During training, the random forest algorithm automatically corrects the fault diagnosis model, performs verification analysis, and visualizes the results to determine whether the diagnosis model is reasonable, thereby obtaining a well-trained fault diagnosis model.

6. A transparent monitoring system for power distribution rooms in residential communities, characterized in that, The system includes: The acquisition unit is used to acquire basic data of the monitored devices in the residential community; the basic data includes the environmental parameters and device status of the monitored devices. The database establishment unit is used to preprocess the basic data and establish a basic database; to perform feature selection and extraction on the data in the basic database to obtain fault features; and to establish a feature database based on the fault features. The model training and deployment unit is used to train a preset fault diagnosis model based on the feature database to obtain a trained fault diagnosis model; and to deploy the trained fault diagnosis model to the transparent power distribution room management system; and The fault diagnosis unit is used to acquire real-time basic data, perform real-time anomaly monitoring on equipment based on the fault diagnosis model in the transparent power distribution room management system, and obtain fault diagnosis results.

7. A transparent monitoring system for a residential community power distribution room according to claim 6, characterized in that, The system also includes: An optimization unit is used to construct a transparent management and control indicator system, and develop a management and control strategy generation algorithm based on the transparent management and control indicator system and the fault diagnosis results; the management and control strategy is verified through actual operation data, and the management and control strategy generation algorithm is optimized according to the verification results.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a transparent monitoring method for a residential community power distribution room as described in any one of claims 1 to 5.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a transparent monitoring method for a residential community power distribution room as described in any one of claims 1 to 5.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of a transparent monitoring method for a residential community power distribution room as described in any one of claims 1 to 5.

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