CN115457303A - System and method for monitoring running state of power distribution network - Google Patents

System and method for monitoring running state of power distribution network Download PDF

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CN115457303A
CN115457303A CN202210917039.4A CN202210917039A CN115457303A CN 115457303 A CN115457303 A CN 115457303A CN 202210917039 A CN202210917039 A CN 202210917039A CN 115457303 A CN115457303 A CN 115457303A
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module
image recognition
distribution network
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郭刚
朱斌
苗靓
姚孟
李世煜
李静
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Handan Power Supply Co of State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Handan Power Supply Co of State Grid Hebei Electric Power Co Ltd
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Abstract

The application provides a power distribution network running state monitoring system and method, which comprises the following steps: the image recognition module is used for recognizing the field image through a pre-constructed image recognition algorithm model; the image information visualization module is used for displaying a real-time image, a historical image and an image identification result of the image identification module; and the intelligent analysis module is used for carrying out reliability data analysis based on the power utilization data to obtain a related prediction result. Therefore, image recognition is carried out based on an image recognition algorithm, electricity utilization data are analyzed, and the technical problems that in the prior art, intelligent monitoring of a power grid needs manual access checking, and deep mining of operation data cannot be carried out are solved.

Description

System and method for monitoring running state of power distribution network
Technical Field
The application relates to the technical field of electric power, in particular to a system and a method for monitoring the running state of a power distribution network.
Background
Most of the current power distribution networks realize remote monitoring, but workers still check the power distribution networks in a monitoring room to find abnormal conditions. This approach is still prone to the occurrence of missing abnormal situations. Moreover, the current distribution network can collect various operation data, but the data are not deeply mined, and more useful results cannot be obtained based on the operation data.
Disclosure of Invention
In view of this, the application provides a system and a method for monitoring the running state of a power distribution network, and solves the technical problems that in the prior art, intelligent monitoring of a power grid needs manual access and checking, and deep mining of power utilization data cannot be performed.
According to an aspect of the present application, there is provided a power distribution network operation state monitoring system, including:
the image recognition module is used for recognizing the field image through a pre-constructed image recognition algorithm model;
the image information visualization module is used for displaying a real-time image, a historical image and an image identification result of the image identification module;
and the intelligent analysis module is used for carrying out reliability data analysis based on the power utilization data to obtain a relevant prediction result.
In a possible embodiment, the image recognition module comprises:
the environment construction unit is used for constructing an image recognition training environment;
the sample library construction unit is used for collecting sample images in a preset scene;
the image recognition model establishing unit is used for carrying out model training based on the sample image to obtain an image recognition model;
and the image identification application unit is used for identifying the field image through the image identification model to obtain an identification result, wherein the identification result comprises target classification, target detection and instance segmentation.
In a possible embodiment, the image information visualization module comprises:
the access unit is used for accessing the real-time image and the historical image;
and the image information visualization unit is used for displaying the real-time image, the historical image and the image recognition result of the image recognition module.
In a possible embodiment, the intelligent analysis module comprises:
the user sensitivity prediction unit is used for predicting the user sensitivity based on the electricity utilization property, the industry category, the electricity utilization capacity and the geographic position characteristic of the user;
the user power failure prediction unit is used for obtaining a user power failure prediction result based on the reliability data analysis model;
and the fault first-aid repair time length prediction unit is used for predicting the first-aid repair operation time length of the fault so as to give an early warning after the actual first-aid repair time length exceeds a time length threshold value.
In a possible embodiment, the system for monitoring the operating condition of the power distribution network further includes:
and the electronic signature module is used for managing and controlling the electronic signatures generated in each process and/or outputting the obtained results.
In a possible embodiment, the system for monitoring the operating condition of the power distribution network further includes:
and the distribution network emergency repair optimization module is used for optimizing the whole process of distribution network emergency repair based on the power utilization data of the user.
In a possible embodiment, the distribution network emergency maintenance optimization module includes:
the overall process optimization unit is used for optimizing the overall emergency repair process;
and the auxiliary optimization unit is used for optimizing auxiliary functions, wherein the auxiliary functions comprise electric power primary wiring diagram graphic display, real-time display of equipment state and monitoring data, geographic information system real-time state map and one-key recall and test.
In a possible embodiment, the system for monitoring the operating condition of the power distribution network further includes:
and the terminal data quality inspection module is used for carrying out equipment, management and operation analysis from multiple dimensions based on the terminal data.
As another aspect of the present application, a method for detecting an operation state of a power distribution network is provided, including:
identifying the field image through a pre-constructed image identification algorithm model based on an image identification module;
displaying a real-time image, a historical image and an image recognition result of the image recognition module through an image information visualization module;
and carrying out reliability data analysis on the electricity utilization data through an intelligent analysis module to obtain a related prediction result.
In a possible embodiment, the image recognition module based on field image recognition by the pre-constructed image recognition algorithm model comprises:
an image recognition training environment is established through an environment construction unit;
collecting sample images under a preset scene through a sample library construction unit;
performing model training on the sample image through an image recognition model establishing unit to obtain an image recognition model;
and identifying the field image by the image identification model through an image identification application unit to obtain an identification result, wherein the identification result comprises target classification, target detection and instance segmentation.
Compared with the prior art, the application provides a power distribution network running state monitoring system and method, which comprise: the image recognition module is used for recognizing the field image through a pre-constructed image recognition algorithm model; the image information visualization module is used for displaying a real-time image, a historical image and an image identification result of the image identification module; and the intelligent analysis module is used for carrying out reliability data analysis based on the power utilization data to obtain a related prediction result. Therefore, image recognition is carried out based on an image recognition algorithm, electricity utilization data are analyzed, and the technical problems that in the prior art, intelligent monitoring of a power grid needs manual access checking, and deep mining of operation data cannot be carried out are solved.
Drawings
The above and other objects, features and advantages of the present application will become more apparent by describing in more detail embodiments of the present application with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a schematic composition diagram of a power distribution network operation state monitoring system according to an embodiment of the present disclosure;
fig. 2 is a schematic composition diagram of a power distribution network operation state monitoring system according to another embodiment of the present application;
fig. 3 is a schematic diagram illustrating a power distribution network operation state monitoring system according to another embodiment of the present disclosure;
fig. 4 is a schematic composition diagram of a power distribution network operation state monitoring system according to another embodiment of the present application;
fig. 5 is a schematic diagram illustrating a power distribution network operation state monitoring system according to another embodiment of the present disclosure;
fig. 6 is a schematic composition diagram of a power distribution network operation state monitoring system according to another embodiment of the present application;
fig. 7 is a schematic flow chart of a method for monitoring an operating state of a power distribution network according to another embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed description of the preferred embodiments
In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. In the embodiment of the present application, all directional indicators (such as upper, lower, left, right, front, rear, top, bottom … …) are used only for explaining the relative position relationship between the components, the motion situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed correspondingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Furthermore, reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Fig. 1 is a schematic diagram illustrating a configuration of a power distribution network operation state monitoring system according to an embodiment of the present application, and as shown in fig. 1, the system includes:
the image recognition module 01 is used for recognizing the field image through a pre-constructed image recognition algorithm model;
in this embodiment, an image recognition algorithm model is established based on machine learning, and the algorithm model has a function of recognizing foreign matters, equipment corrosion, smoke concentration, nameplate curved surfaces and the like in a plant station and a power distribution room area, wherein the foreign matters include mice, squirrels and other small animals which easily enter a station room.
After the image recognition algorithm model is established, the field image is input into the image recognition model, the field image is recognized by the image recognition model to obtain a recognition result, and when abnormal conditions such as foreign matters, equipment corrosion, smoke concentration, nameplate curved surfaces and the like exist in the field image, the corresponding field image is marked as an abnormal image.
The image information visualization module 02 is used for displaying a real-time image, a historical image and an image identification result of the image identification module;
the image information visualization module in the embodiment can display the real-time image and the historical image uploaded from the power distribution room, and can also display the image recognition result of the image recognition module, so that the image of each region of the power distribution room can be visually and conveniently displayed.
And the intelligent analysis module 03 is used for performing reliability data analysis based on the power utilization data to obtain a relevant prediction result.
In addition to the failure analysis using the image recognition result, reliability analysis may be performed based on the power consumption data.
The distribution network fault first-aid repair service is one of core services of a company, is customer-oriented, is frequent in interaction, and directly influences the customer service quality and the external image of the company, but the data analysis and mining of the distribution network fault first-aid repair service are not thorough at present, and the availability of a distribution network first-aid repair work order is not high. Based on the method, the user sensitivity, the user power failure influence, the fault first-aid repair time and the like can be predicted based on the electricity utilization data, the prediction result is obtained, and relevant improvement is carried out based on the prediction result.
This embodiment provides a distribution network running state monitoring system through above-mentioned scheme, includes: the image recognition module is used for recognizing the field image through a pre-constructed image recognition algorithm model; the image information visualization module is used for displaying a real-time image, a historical image and an image identification result of the image identification module; and the intelligent analysis module is used for carrying out reliability data analysis based on the power utilization data to obtain a related prediction result. Therefore, image recognition is carried out based on an image recognition algorithm, electricity utilization data are analyzed, and the technical problems that in the prior art, intelligent monitoring of a power grid needs manual access checking, and deep mining of operation data cannot be carried out are solved.
Fig. 2 is a schematic diagram illustrating a power distribution network operation state monitoring system according to another embodiment of the present application, where as shown in fig. 2, the image recognition module 01 includes:
the environment construction unit 11 is used for building an image recognition training environment;
and (3) constructing an image recognition training environment based on Keras and TensorFlow in a Linux environment so as to be used for carrying out multi-task deep learning algorithm training such as target classification, target detection, instance segmentation and the like. Keras is an open source artificial neural network library written by Python, and can be used as a high-level application program interface of Tensorflow, microsoft-CNTK and Theano for designing, debugging, evaluating, applying and visualizing a deep learning model. TensorFlow is a symbolic mathematical system based on dataflow programming (dataflow programming), and is widely applied to programming realization of various machine learning (machine learning) algorithms
The sample library construction unit 12 is used for collecting sample images in a preset scene;
wherein, the number of the images of the foreign body samples in the area where the common typical small animals such as mice and squirrels invade the station house is not less than 1000; sample images of rust defects on the surfaces of metal instruments and bolts caused by long-term water immersion, condensation and the like of equipment in the power distribution station are not less than 2000; the number of sample images of the text information in the specific area shot by the rush repair personnel on site is not less than 2000.
An image recognition model establishing unit 13, configured to perform model training based on the sample image to obtain an image recognition model;
respectively training a regional foreign object target recognition algorithm model aiming at the invasion of common typical small animals such as mice, squirrels and the like into a station house based on the sample images, and training a metal instrument and bolt surface corrosion recognition algorithm model aiming at equipment in a power distribution station caused by long-term water immersion, condensation and the like; training a recognition algorithm model for shooting the curved surface character information in the specific area on site.
And the image identification application unit 14 is used for identifying the field image through the image identification model to obtain an identification result, wherein the identification result comprises target classification, target detection and instance segmentation.
Wherein the recognition accuracy of the foreign object target recognition algorithm model and the surface corrosion recognition algorithm model is not lower than 70%; the accuracy of the identification algorithm model of the curved surface character information is not lower than 90%.
According to the scheme, the images are identified, abnormal images in the area are automatically screened, the efficiency of power distribution room and station video monitoring is improved, and the dependence of field monitoring on manpower is greatly reduced.
Fig. 3 is a schematic composition diagram of a power distribution network operating state monitoring system according to another embodiment of the present application, and as shown in fig. 3, the image information visualization module 02 includes:
an access unit 21, configured to access the real-time image and the historical image;
specifically, video and image interfaces are built, and the interfaces mainly comprise a video stream access interface of a camera in a power distribution station room, a historical massive video and image information access interface and an image shooting access interface of a mobile terminal of emergency maintenance personnel. And when the construction of each interface is completed, accessing real-time images/videos and historical images/videos based on each interface.
And the image information visualization unit 22 is used for displaying the real-time image, the historical image and the image recognition result of the image recognition module.
The image information visualization unit 22 is used for displaying the image recognition result of the image recognition module: the intelligent recognition result of regional foreign matters, the intelligent recognition result of equipment corrosion objects and the recognition result of character information in a specific region. In addition, the device is also used for displaying the regional smoke concentration monitoring result image which is matched with the smoke detection device to capture and prove the scene smoke concentration situation severity degree.
And for the historical image, displaying a visual result of comparing and analyzing the gradual aging degree of the equipment: based on historical picture information such as foreign matters, corrosion and the like, carrying out comparison analysis on the gradual aging degree of the equipment, and carrying out multi-dimensional statistics on the equipment in the region; and the method is also used for comprehensive monitoring statistical analysis of the display area: carrying out comprehensive monitoring visual display on each area of the power distribution station house, wherein the comprehensive monitoring visual display comprises geographical map distribution information display, image information statistics, fault type distribution statistics and the like; equipment fault statistical analysis visualization can also be performed: counting the aging degree of the equipment according to different dimensions such as days, months and the like, wherein the aging degree includes units, total quantity of the equipment, aging ratio and the like; equipment standing book association visualization can also be carried out: the curved surface recognition character information is automatically associated with the equipment ledger, and automatic filling of information such as emergency repair work order fault equipment and fault power failure equipment is achieved.
According to the scheme, various images and relevant results of the images are displayed, so that the operation conditions of the power distribution room and the power station can be mastered quickly by relevant personnel, and the management level and efficiency are improved.
Fig. 4 is a schematic diagram illustrating a power distribution network operation state monitoring system according to another embodiment of the present application, where as shown in fig. 4, the intelligent analysis module 03 includes:
the user sensitivity predicting unit 31 is used for predicting the user sensitivity based on the electricity utilization property, the industry category, the electricity utilization capacity and the geographic position characteristics of the user;
the power failure sensitivity of the user is evaluated and predicted according to the characteristics of the power utilization property, the industry category, the power utilization capacity, the geographic position and the like of the user, so that a power supply company can develop differentiated power supply service, the complaint rate of the user can be reduced, and the service satisfaction can be improved.
The user power failure prediction unit 32 is used for obtaining a user power failure prediction result based on the reliability data analysis model;
through the idea and method for researching annual reliability index value prediction of the power grid, a reliability data analysis model based on multi-professional fusion is constructed, professional support capability of power failure prediction analysis of a user is improved, and therefore the continuous improvement of the whole-network reliability management level is promoted.
And the fault first-aid repair time length prediction unit 33 is used for predicting the first-aid repair operation time length of the fault so as to perform early warning after the actual first-aid repair time length exceeds a time length threshold value.
The on-site processing time of the fault first-aid repair operation is predicted by establishing a mathematical model, the on-the-way fault work order with the processing time length exceeding the predicted value by 80% is subjected to early warning and timely intervention management and control, the fault first-aid repair processing timeliness rate can be improved, the power failure time length in the region is reduced, and the user experience is improved.
According to the scheme, the user sensitivity, the power failure influence and the fault first-aid repair duration are predicted, and the service level and the user satisfaction are improved.
Fig. 5 is a schematic composition diagram of a power distribution network operation state monitoring system according to another embodiment of the present application, and as shown in fig. 5, the power distribution network operation state monitoring system further includes:
and the electronic signature module 04 is used for managing and controlling the electronic signatures generated in each flow and/or outputting obtained results.
The electronic signature module can newly add electronic signature and signature die data on the electronic signature platform in a URL link mode, and the electronic signature platform transmits the die data back to the electronic signature and signature module in the distribution network engineering management and control module after the addition is finished so as to realize the management and control of the electronic signature in each flow.
The results that need to be output by using the electronic signature in each process related in this embodiment include:
in the engineering management and control process, sending personnel information, a file to be signed and a process state to an electronic signing platform;
in the project startup stage, a startup report is automatically generated according to the internal auditing process of the management and control module and the system standard template, and one-key downloading and printing functions are supported;
and in the project acceptance stage, a work report is automatically generated according to the internal audit process of the management and control module and the system standard template, and the one-key downloading and printing functions are supported.
According to the scheme, the electronic signature module realizes full-flow electronic signature and result control and improves the efficiency of power grid operation management monitoring.
Fig. 6 is a schematic composition diagram of a power distribution network operation state monitoring system according to another embodiment of the present application, and as shown in fig. 6, the power distribution network operation state monitoring system further includes:
the distribution network emergency repair optimization module 05 is used for carrying out overall process optimization on distribution network emergency repair based on user power consumption data, and specifically comprises an overall process optimization unit used for optimizing the overall process of emergency repair;
and the auxiliary optimization unit is used for optimizing auxiliary functions, wherein the auxiliary functions comprise electric power primary wiring diagram graphic display, real-time display of equipment state and monitoring data, geographic information system real-time state map and one-key recall and test.
The whole-process optimization is to realize user sensitivity, intelligent address matching, clustering order distribution and correlation order distribution in the order distribution links, realize order distribution optimization through key algorithms of order distribution, order receiving, arriving, processing, feedback and the like, and carry out operation optimization through functions of active study (for evaluation results of relevant equipment participating in fault study and judgment, such as distribution terminal, fault indicator and the like of a medium-voltage line of each distribution network, the active study and judgment of the line is dynamically generated), automatic identification (fault equipment is automatically obtained through surface identification, and the address is automatically recorded through combination of positioning), closed-loop feedback (closed loop is completed through processing, a system automatically sends messages to customers, and customer satisfaction is increased) and the like.
The auxiliary optimization is that the electric power primary wiring diagram (SVG) is displayed in a graphic mode, the states of equipment and monitoring data, a Geographic Information System (GIS) real-time state map, a key call test and other auxiliary function modules are displayed in real time, the optimization of the emergency repair work order is realized, the emergency repair accuracy is improved, the emergency repair duration is reduced, and the satisfaction degree of users is improved.
According to the scheme, the whole process and the auxiliary functions are optimized, the distribution network first-aid repair efficiency can be improved, the waiting time is reduced, and the satisfaction degree of a user is finally improved.
As another aspect of the present application, a method for detecting an operating state of a power distribution network is provided, and fig. 7 is a schematic flow diagram of a method for monitoring an operating state of a power distribution network according to another embodiment of the present application, where the method includes:
step S101: identifying the field image through a pre-constructed image identification algorithm model based on an image identification module;
specifically, an image recognition training environment is built through an environment construction unit; collecting sample images under a preset scene through a sample library construction unit; performing model training on the sample image through an image recognition model establishing unit to obtain an image recognition model; and identifying the field image by the image identification model through an image identification application unit to obtain an identification result, wherein the identification result comprises target classification, target detection and instance segmentation.
Step S102: displaying and displaying a real-time image, a historical image and an image recognition result of the image recognition module through an image information visualization module;
accessing the real-time image and the historical image through an access unit; displaying the real-time image, the historical image and the image recognition result of the image recognition module through an image information visualization unit
Step S103: and carrying out reliability data analysis on the electricity utilization data through an intelligent analysis module to obtain a related prediction result.
Specifically, the user sensitivity is predicted through a user sensitivity prediction unit based on the electricity utilization property, the industry category, the electricity utilization capacity and the geographic position characteristic of the user; obtaining a user power failure prediction result through a user power failure prediction unit based on the reliability data analysis model; and predicting the rush-repair operation time length of the fault through a fault rush-repair time length prediction unit so as to give an early warning after the actual rush-repair time length exceeds a time length threshold value.
According to the scheme, the field image is identified through the pre-constructed image identification algorithm model based on the image identification module; displaying an image recognition result of the image recognition module through an image information visualization module; and carrying out reliability data analysis on the electricity utilization data through an intelligent analysis module to obtain a related prediction result. Therefore, image recognition is carried out based on an image recognition algorithm, electricity utilization data are analyzed, and the technical problems that in the prior art, power grid intelligent monitoring needs manual access and checking, and deep excavation of operation data cannot be carried out are solved.
Next, an electronic apparatus according to an embodiment of the present application is described with reference to fig. 8. Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
As shown in fig. 8, the electronic device 600 includes one or more processors 601 and memory 602.
The processor 601 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or information execution capabilities, and may control other components in the electronic device 600 to perform desired functions.
Memory 602 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program information may be stored on the computer readable storage medium and executed by the processor 601 to implement the power distribution network operating state monitoring methods of the various embodiments of the present application described above or other desired functions.
In one example, the electronic device 600 may further include: an input device 603 and an output device 604, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The input device 603 may include, for example, a keyboard, a mouse, and the like.
The output device 604 can output various kinds of information to the outside. The output means 604 may comprise, for example, a display, a communication network, a remote output device connected thereto, and the like.
Of course, for simplicity, only some of the components of the electronic device 600 relevant to the present application are shown in fig. 8, and components such as buses, input/output interfaces, and the like are omitted. In addition, electronic device 600 may include any other suitable components depending on the particular application.
In addition to the above-described methods and apparatus, embodiments of the present application may also be a computer program product comprising computer program information which, when executed by a processor, causes the processor to perform the steps in the method for monitoring an operational state of a power distribution network according to various embodiments of the present application described in the present specification.
The computer program product may be written with program code for performing the operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present application may also be a computer-readable storage medium having stored thereon computer program information, which, when executed by a processor, causes the processor to perform the steps in the method for monitoring an operating state of a power distribution network according to various embodiments of the present application.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present application have been described above with reference to specific embodiments, but it should be noted that advantages, effects, etc. mentioned in the present application are only examples and are not limiting, and the advantages, effects, etc. must not be considered to be possessed by various embodiments of the present application. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the foregoing disclosure is not intended to be exhaustive or to limit the disclosure to the precise details disclosed.
The block diagrams of devices, apparatuses, systems referred to in this application are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably herein. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
It should also be noted that in the devices, apparatuses, and methods of the present application, the components or steps may be decomposed and/or recombined. These decompositions and/or recombinations are to be considered as equivalents of the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention, and any modifications, equivalents and the like that are within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A power distribution network operation state monitoring system is characterized by comprising:
the image recognition module is used for recognizing the field image through a pre-constructed image recognition algorithm model;
the image information visualization module is used for displaying a real-time image, a historical image and an image identification result of the image identification module;
and the intelligent analysis module is used for carrying out reliability data analysis based on the power utilization data to obtain a related prediction result.
2. The system of claim 1, wherein the image recognition module comprises:
the environment construction unit is used for constructing an image recognition training environment;
the sample library construction unit is used for collecting sample images in a preset scene;
the image recognition model establishing unit is used for carrying out model training based on the sample image to obtain an image recognition model;
and the image identification application unit is used for identifying the field image through the image identification model to obtain an identification result, wherein the identification result comprises target classification, target detection and instance segmentation.
3. The system of claim 1, wherein the image information visualization module comprises:
the access unit is used for accessing the real-time image and the historical image;
and the image information visualization unit is used for displaying the real-time image, the historical image and the image identification result of the image identification module.
4. The system of claim 1, wherein the intelligent analysis module comprises:
the user sensitivity prediction unit is used for predicting the user sensitivity based on the electricity utilization property, the industry category, the electricity utilization capacity and the geographic position characteristic of the user;
the user power failure prediction unit is used for obtaining a user power failure prediction result based on the reliability data analysis model;
and the fault first-aid repair time length prediction unit is used for predicting the first-aid repair operation time length of the fault so as to give an early warning after the actual first-aid repair time length exceeds a time length threshold value.
5. The system of claim 1, wherein the power distribution network operating condition monitoring system further comprises:
and the electronic signature module is used for managing and controlling the electronic signatures generated in each process and/or outputting the obtained results.
6. The system of claim 1, wherein the power distribution network operating condition monitoring system further comprises:
and the distribution network rush-repair optimization module is used for optimizing the whole process of distribution network rush-repair based on the power utilization data of the user.
7. The system of claim 6, wherein the distribution network emergency repair optimization module comprises:
the overall process optimization unit is used for optimizing the overall emergency repair process;
and the auxiliary optimization unit is used for optimizing auxiliary functions, wherein the auxiliary functions comprise electric power primary wiring diagram graphic display, real-time display of equipment state and monitoring data, geographic information system real-time state map and one-key recall and test.
8. The system of claim 1, wherein the power distribution network operating condition monitoring system further comprises:
and the terminal data quality inspection module is used for carrying out equipment, management and operation analysis from multiple dimensions based on the terminal data.
9. A method for detecting the running state of a power distribution network is characterized by comprising the following steps:
identifying the field image through a pre-constructed image identification algorithm model based on an image identification module;
displaying a real-time image, a historical image and an image recognition result of the image recognition module through an image information visualization module;
and carrying out reliability data analysis on the electricity utilization data through an intelligent analysis module to obtain a related prediction result.
10. The method of claim 9, wherein the image recognition module based recognition of the live image by a pre-constructed image recognition algorithm model comprises:
establishing an image recognition training environment through an environment construction unit;
collecting sample images under a preset scene through a sample library construction unit;
performing model training on the sample image through an image recognition model establishing unit to obtain an image recognition model;
and identifying the field image by the image identification model through an image identification application unit to obtain an identification result, wherein the identification result comprises target classification, target detection and instance segmentation.
CN202210917039.4A 2022-08-01 2022-08-01 System and method for monitoring running state of power distribution network Pending CN115457303A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116754025A (en) * 2023-06-14 2023-09-15 保定市利源水务技术开发服务中心 Image recognition technology-based auxiliary water balance test water quantity monitoring method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116754025A (en) * 2023-06-14 2023-09-15 保定市利源水务技术开发服务中心 Image recognition technology-based auxiliary water balance test water quantity monitoring method
CN116754025B (en) * 2023-06-14 2024-01-30 保定市利源水务技术开发服务中心 Image recognition technology-based auxiliary water balance test water quantity monitoring method

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