Power distribution station room monitoring and operation and maintenance system based on digital twinning

Abstract

The embodiment of the invention provides a power distribution station room monitoring and operation and maintenance system based on digital twinning, and belongs to the technical field of power distribution station room monitoring. The power distribution station house monitoring and operation and maintenance system comprises a data acquisition unit which is used for acquiring detailed three-dimensional model data, environment data and equipment data of a power distribution station house; the network transmission unit is used for transmitting the three-dimensional model data, the equipment data and the environment data; the background processing unit is used for receiving the three-dimensional model data, the environment data and the equipment data and performing compliance processing on the three-dimensional model data, the environment data and the equipment data; the digital twin unit is used for receiving the three-dimensional model data and the equipment data of the related equipment, and constructing a three-dimensional entity model according to the three-dimensional model data and the equipment data of the related equipment; and the application processing unit is used for scheduling, operating and maintaining related equipment of the power distribution station house according to the real-time condition of the power distribution station house. The power distribution station house monitoring and operation and maintenance system can monitor the equipment condition of the power distribution station house in real time and visually display the equipment condition.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution station monitoring, and in particular to a power distribution station monitoring and operation and maintenance system based on digital twins. Background Art

[0002] In the power industry, distribution substations are an important part of the power system, and their operating status directly affects the stability and reliability of the power system. However, the existing distribution substation monitoring and operation and maintenance methods mostly rely on manual inspections, regular maintenance, etc., lack of real-time status of equipment, and it is difficult to predict and solve problems. Therefore, a distribution substation monitoring and operation and maintenance system based on digital twins is needed, which can intuitively display the status of distribution substation equipment and monitor the status of equipment in real time. Summary of the invention

[0003] The purpose of an embodiment of the present invention is to provide a distribution substation monitoring and operation and maintenance system based on digital twins, which can monitor the equipment status of the distribution substation in real time and display it intuitively.

[0004] In order to achieve the above objectives, an embodiment of the present invention provides a distribution substation monitoring and operation and maintenance system based on digital twins, and the distribution substation monitoring and operation and maintenance system includes:

[0005] Data acquisition unit, used to collect detailed 3D model data, environmental data and equipment data of the power distribution station;

[0006] A network transmission unit, used for transmitting three-dimensional model data, equipment data and environment data;

[0007] A background processing unit, used for receiving the three-dimensional model data, environmental data and equipment data, and performing compliance processing on them;

[0008] A digital twin unit is used to receive the three-dimensional model data and the equipment data of related equipment, and to construct a three-dimensional solid model according to the three-dimensional model data and the equipment data of related equipment, and to display the real-time situation of each link of the power distribution station;

[0009] The application processing unit dispatches and maintains the relevant equipment in the distribution station according to the real-time situation of the distribution station.

[0010] Optionally, the data acquisition unit includes:

[0011] A three-dimensional modeling video sensor is used to scan the power distribution station to obtain three-dimensional model data of the power distribution station;

[0012] An environmental quality sensor is arranged in the power distribution station room to collect environmental data of the power distribution station room;

[0013] Equipment sensors are arranged on various equipment in the power distribution station or connected to various equipment in the power distribution station to collect equipment data of the power distribution station.

[0014] Optionally, the background processing unit includes:

[0015] The data storage layer stores the collected 3D model data, environmental data, and equipment data in a local server or cloud database;

[0016] The data processing layer cleans, integrates, and analyzes the collected 3D model data, environmental data, and equipment data, extracts valuable information, and performs format conversion to ensure data accuracy and consistency.

[0017] Optionally, the digital twin unit includes:

[0018] A data receiving module is used to receive equipment data of related equipment and three-dimensional model data of the power distribution station and environmental data;

[0019] A model building unit, which builds a three-dimensional model of the power distribution station building according to the received three-dimensional model data;

[0020] The data matching unit matches the equipment data of the relevant equipment in each link to the relevant equipment in the corresponding three-dimensional model according to the equipment data and the three-dimensional model of the relevant equipment, and matches the environmental data to the distribution station room.

[0021] Optionally, the application processing unit is used to:

[0022] Obtain real-time collected equipment data of each relevant device;

[0023] Determining whether the device data collected in real time is within a normal fluctuation range;

[0024] When the device data collected in real time is not within the normal fluctuation range, determining that the corresponding related device is abnormal;

[0025] Displaying the status of the related equipment with equipment abnormality in the corresponding three-dimensional model;

[0026] Schedule and maintain the related equipment with equipment abnormality.

[0027] Optionally, determining whether the device data collected in real time is within a normal fluctuation range includes:

[0028] Acquire historical data of device data of the relevant device in a normal state;

[0029] Dividing the historical data into a plurality of sub-historical data according to a time period, and constructing a fluctuation curve about time according to the sub-historical data within a time period;

[0030] Obtaining a plurality of the fluctuation curves, and calculating the fluctuation average value at each time point along the time axis;

[0031] Sorting the fluctuation average values ​​in time to form an average fluctuation curve;

[0032] According to the formula: average fluctuation curve ± (set tolerance * adjustment factor) to construct the normal fluctuation area.

[0033] Optionally, the set tolerance is 3 times the standard deviation of the multiple fluctuation curves.

[0034] Optionally, when the device data collected in real time is not within a normal fluctuation range, determining that the corresponding related device is abnormal includes:

[0035] Acquire the device data collected in real time;

[0036] When the device data is not within the normal fluctuation range, acquiring device data at a previous time point and a next time point of the data;

[0037] The three acquired device data are averaged to obtain average device data;

[0038] Determining whether the average device data is within the normal fluctuation range;

[0039] When the average device data is not within the normal fluctuation range, it is determined that the corresponding related device is abnormal.

[0040] Optionally, when the device data collected in real time is not within a normal fluctuation range, determining that the corresponding related device is abnormal includes:

[0041] When the average device data is within the normal fluctuation range, it is determined that the corresponding related device is normal.

[0042] Through the above technical scheme, the present invention provides a distribution station monitoring and operation and maintenance system based on digital twins, which collects detailed three-dimensional model data, environmental data and equipment data of the distribution station through a data acquisition unit. The network transmission unit can transmit three-dimensional model data and equipment data. The background processing unit can receive three-dimensional model data, environmental data and equipment data, and can perform compliance processing on them. The digital twin unit can receive three-dimensional model data and equipment data of related equipment, and can build a three-dimensional entity model based on the three-dimensional model data and equipment data of related equipment, and can display the real-time situation of each link of the distribution station. The application processing unit can schedule and operate the relevant equipment of the distribution station according to the real-time situation of the distribution station. The distribution station monitoring and operation and maintenance system can monitor the equipment status of the distribution station in real time and display it intuitively.

[0043] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0045] Figure 1 It is a system arrangement diagram of a digital twin-based distribution station monitoring and operation and maintenance system according to an embodiment of the present invention;

[0046] Figure 2 It is a processing flow chart of an application processing unit of a digital twin-based distribution station monitoring and operation and maintenance system according to an embodiment of the present invention;

[0047] Figure 3 This is a flowchart of constructing a normal fluctuation area of ​​a distribution station monitoring and operation and maintenance system based on digital twins according to an embodiment of the present invention:

[0048] Figure 4 It is a flowchart of determining abnormalities in related equipment in a digital twin-based distribution station monitoring and operation and maintenance system according to an embodiment of the present invention.

[0049] Description of Reference Numerals

[0050] 1. Data acquisition unit 2. Network transmission unit

[0051] 3. Background processing unit 4. Digital twin unit

[0052] 5. Application processing unit 6. 3D modeling video sensor

[0053] 7. Environmental quality sensor 8. Equipment sensor

[0054] 9. Data storage layer 10. Data processing layer

[0055] 11. Data receiving module 12. Model building unit

[0056] 13. Data matching unit DETAILED DESCRIPTION

[0057] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0058] Figure 1 It is a system arrangement diagram of a distribution station monitoring and operation and maintenance system based on digital twin according to one embodiment of the present invention. In the present invention, the distribution station monitoring and operation and maintenance system may include: a data acquisition unit 1, a network transmission unit 2, a background processing unit 3, a digital twin unit 4, and an application processing unit 5. The data acquisition unit 1 can be used to collect detailed three-dimensional model data, equipment data and environmental data of the distribution station. The network transmission unit 2 can be used to transmit the three-dimensional model data, equipment data and environmental data to transmit them to the units that need to use the three-dimensional model data, equipment data and environmental data later. The background processing unit 3 can be used to receive the three-dimensional model data, environmental data and equipment data, and can perform compliance processing on them. The digital twin unit 4 can be used to receive the three-dimensional model data and the equipment data of the related equipment and the environmental data, and can build a three-dimensional entity model based on the three-dimensional model data and the equipment data of the related equipment, and can display the real-time situation of each link of the distribution station. The application processing unit 5 can dispatch and operate the relevant equipment of the distribution station according to the real-time situation of the distribution station. The distribution station monitoring and operation and maintenance system can monitor the equipment situation of the distribution station in real time and display it intuitively.

[0059] In one embodiment of the present invention, Figure 1 As shown, the data acquisition unit 1 may include: a three-dimensional modeling video sensor 6, an environmental quality sensor 7, and an equipment sensor 8. The three-dimensional modeling video sensor 6 can be used to scan the power distribution station, so as to obtain the three-dimensional model data of the power distribution station. The number of the environmental quality sensors 7 can be multiple, and they can be set at different positions and floors in the power distribution station, so as to collect environmental data in the power distribution station. The environmental data can be data such as temperature and humidity. The number of the equipment sensors 8 can be multiple, and they can be set in the power distribution station or connected to various equipment in the power distribution station, so as to collect equipment data in the power distribution station.

[0060] In one embodiment of the present invention, Figure 1 As shown, the background processing unit 3 may include: a data storage layer 9 and a data processing layer 10. The data storage layer 9 may store the collected device data in a local server or a cloud database so as to facilitate the collection of the collected data at any time. The data processing layer 10 may clean, integrate and analyze the collected 3D model data, environmental data and device data, so as to extract valuable information, and may perform format conversion, so as to ensure the accuracy and consistency of the data.

[0061] In one embodiment of the present invention, Figure 1 As shown, the digital twin unit 4 may include: a data receiving module 11, a model building unit 12 and a data matching unit 13. The data receiving module 11 may be used to receive equipment data of relevant equipment, environmental data and three-dimensional model data of the power distribution station. The model building unit 12 may build a three-dimensional model of the power distribution station based on the received three-dimensional model data. The data matching unit 13 may match the equipment data of relevant equipment in each link to the relevant equipment in the corresponding three-dimensional model based on the equipment data and three-dimensional model of the relevant equipment, so that the equipment status of the relevant equipment can be intuitively displayed, and the environmental data can be matched to the power distribution station.

[0062] In one embodiment of the present invention, Figure 2 As shown, the processing flow of the application processing unit 5 may include:

[0063] In step S1, the real-time collected device data of each relevant device is obtained.

[0064] In step S2, it is determined whether the device data collected in real time is within the normal fluctuation range.

[0065] In step S3, when the real-time collected device data is not within the normal fluctuation range, it is determined that the corresponding related device is abnormal.

[0066] In step S4, the status of the equipment related to the equipment abnormality is displayed in the corresponding three-dimensional model.

[0067] In step S5, the equipment related to the abnormal equipment is scheduled for operation and maintenance.

[0068] In the present invention, the application processing unit 5 can schedule and operate the relevant equipment according to the equipment data of the relevant equipment. When scheduling and operating, the real-time collected equipment data of each relevant equipment can be obtained first. After obtaining the equipment data, it can be determined whether the real-time collected equipment data is within the normal fluctuation range. When the equipment data is not within the normal fluctuation range, it can be determined that the corresponding related equipment has an abnormality. Compared with the existing method of judging whether it is abnormal by monitoring whether the equipment data exceeds the threshold, this method has phased and continuous characteristics, so that it can more accurately judge whether the equipment is abnormal. When judging the equipment abnormality, the situation of the related equipment with the equipment abnormality can be displayed in the corresponding three-dimensional model, and then the related equipment with the equipment abnormality can be scheduled and operated to make it operate normally.

[0069] In one embodiment of the present invention, Figure 3 As shown, the process of constructing a normal fluctuation area may include:

[0070] In step S6, historical data of device data of the relevant device in a normal state is obtained.

[0071] In step S7, the historical data is divided into a plurality of sub-historical data according to a time period, and a fluctuation curve about time is constructed according to the sub-historical data within a time period.

[0072] In step S8, a plurality of fluctuation curves are obtained, and the fluctuation average value at each time point is calculated along the time axis.

[0073] In step S9, the fluctuation average values ​​are sorted in time to form an average fluctuation curve.

[0074] In step S10, a normal fluctuation area is constructed according to the formula: average fluctuation curve ± (set tolerance * adjustment factor).

[0075] In the present invention, when constructing a normal fluctuation area, the factors affecting the fluctuation of equipment data can be comprehensively considered, so that it is possible to correctly judge whether the relevant equipment is operating normally, which is more accurate than judging by a fixed threshold. When constructing a normal fluctuation area, the historical data of the equipment data of the relevant equipment in a normal state can be obtained. After obtaining the historical data, the historical data can be divided into multiple sub-historical data according to the time period, and the time period can be a time span set by oneself, such as one day, one month, one quarter, etc. After obtaining the sub-historical data, a fluctuation curve about time can be constructed according to the sub-historical data in a time period, so that there can be multiple fluctuation curves in the case of multiple time periods. After obtaining multiple fluctuation curves, the fluctuation average value at each time point can be calculated along the time axis of the fluctuation curve. After obtaining the fluctuation average value, the fluctuation average value can be sorted according to time to obtain the average fluctuation curve, and then the normal fluctuation area can be constructed according to the formula: average fluctuation curve ± (set tolerance * adjustment factor). The adjustment factor of the formula can be adjusted according to the change of the season or the change of the influencing factors such as temperature, so that the normal fluctuation area can be more in line with the time characteristics of the operation of the relevant equipment, so that when judging whether the equipment exceeds the standard according to the normal fluctuation area, it can be more flexible.

[0076] In one embodiment of the present invention, the set tolerance may be 3 times the standard deviation of the plurality of fluctuation curves.

[0077] In one embodiment of the present invention, Figure 4 As shown, the process of determining that a device is abnormal may include:

[0078] In step S11, the device data collected in real time is obtained.

[0079] In step S12, when the device data is not within the normal fluctuation range, the device data at the previous time point and the next time point of the data are acquired.

[0080] In step S13, the three acquired device data are averaged to obtain average device data.

[0081] In step S14, it is determined whether the average device data is within the normal fluctuation range.

[0082] In step S15, when the average device data is not within the normal fluctuation range, it is determined that the corresponding related device is abnormal.

[0083] In the present invention, when determining whether a relevant device is abnormal, if the judgment is made based on only one data point collected separately, data distortion errors may occur. Therefore, it can be judged whether it is abnormal by taking average data. When making a judgment, the device data collected in real time can be obtained first. When it is judged that the device data of this point is not within the normal fluctuation area, the device data of the previous time point and the next time point of the data can be obtained. After obtaining three adjacent device data, the three device data can be averaged to obtain average device data, which can balance the distortion of the device data at a certain point as much as possible. After obtaining the average device data, it can be judged whether the average device data is within the normal fluctuation area. When the average device data is not within the normal fluctuation area, it can be determined that the corresponding device data is abnormal and the corresponding related device is abnormal.

[0084] In one embodiment of the present invention, Figure 4 As shown, the process of determining whether a related device is abnormal may include:

[0085] In step S16, when the average device data is within the normal fluctuation range, it is determined that the corresponding related device is normal.

[0086] In the present invention, when it is determined that the average device data is within the normal fluctuation range, it can be determined that the corresponding related device is normal.

[0087] Through the above technical scheme, the present invention provides a distribution station monitoring and operation and maintenance system based on digital twins, which collects detailed three-dimensional model data, environmental data and equipment data of the distribution station through a data acquisition unit. The network transmission unit can transmit three-dimensional model data and equipment data. The background processing unit can receive three-dimensional model data, environmental data and equipment data, and can perform compliance processing on them. The digital twin unit can receive three-dimensional model data and equipment data of related equipment, and can build a three-dimensional entity model based on the three-dimensional model data and equipment data of related equipment, and can display the real-time situation of each link of the distribution station. The application processing unit can schedule and operate the relevant equipment of the distribution station according to the real-time situation of the distribution station. The distribution station monitoring and operation and maintenance system can monitor the equipment status of the distribution station in real time and display it intuitively.

[0088] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0089] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0090] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0091] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0092] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0093] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0094] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0095] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0096] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A distribution station monitoring and operation and maintenance system based on digital twins, characterized in that: The distribution station monitoring and operation and maintenance system includes: Data acquisition unit, used to collect detailed 3D model data, environmental data and equipment data of the power distribution station; A network transmission unit, used for transmitting three-dimensional model data, equipment data and environment data; A background processing unit, used for receiving the three-dimensional model data, environmental data and equipment data, and performing compliance processing on them; A digital twin unit is used to receive the three-dimensional model data and the equipment data of related equipment, and to construct a three-dimensional solid model according to the three-dimensional model data and the equipment data of related equipment, and to display the real-time situation of each link of the power distribution station; The application processing unit dispatches and maintains the relevant equipment in the distribution station according to the real-time situation of the distribution station.

2. The power distribution station monitoring and operation and maintenance system according to claim 1 is characterized in that: The data acquisition unit comprises: A three-dimensional modeling video sensor is used to scan the power distribution station to obtain three-dimensional model data of the power distribution station; An environmental quality sensor is arranged in the power distribution station room to collect environmental data of the power distribution station room; Equipment sensors are arranged on various equipment in the power distribution station or connected to various equipment in the power distribution station to collect equipment data of the power distribution station.

3. The power distribution station monitoring and operation and maintenance system according to claim 1 is characterized in that: The background processing unit includes: The data storage layer stores the collected 3D model data, environmental data, and equipment data in a local server or cloud database; The data processing layer cleans, integrates, and analyzes the collected 3D model data, environmental data, and equipment data, extracts valuable information, and performs format conversion to ensure data accuracy and consistency.

4. The power distribution station monitoring and operation and maintenance system according to claim 3 is characterized in that: The digital twin unit comprises: A data receiving module is used to receive equipment data of related equipment and three-dimensional model data of the power distribution station and environmental data; A model building unit, which builds a three-dimensional model of the power distribution station building according to the received three-dimensional model data; The data matching unit matches the equipment data of the relevant equipment in each link to the relevant equipment in the corresponding three-dimensional model according to the equipment data and the three-dimensional model of the relevant equipment, and matches the environmental data to the distribution station room.

5. The power distribution station monitoring and operation and maintenance system according to claim 4 is characterized in that: The application processing unit is used to: Obtain real-time collected equipment data of each relevant device; Determining whether the device data collected in real time is within a normal fluctuation range; When the device data collected in real time is not within the normal fluctuation range, determining that the corresponding related device is abnormal; Displaying the status of the related equipment with equipment abnormality in the corresponding three-dimensional model; Schedule and maintain the related equipment with equipment abnormality.

6. The office distribution station monitoring and operation and maintenance system according to claim 5 is characterized in that: Determining whether the device data collected in real time is within the normal fluctuation range includes: Acquire historical data of device data of the relevant device in a normal state; Dividing the historical data into a plurality of sub-historical data according to a time period, and constructing a fluctuation curve about time according to the sub-historical data within a time period; Obtaining a plurality of the fluctuation curves, and calculating the fluctuation average value at each time point along the time axis; Sorting the fluctuation average values ​​in time to form an average fluctuation curve; According to the formula: average fluctuation curve ± (set tolerance * adjustment factor) to construct the normal fluctuation area.

7. The office distribution station monitoring and operation and maintenance system according to claim 6 is characterized in that: The set tolerance is 3 times of the standard deviation of the plurality of fluctuation curves.

8. The office distribution station monitoring and operation and maintenance system according to claim 6 is characterized in that: When the device data collected in real time is not within the normal fluctuation range, determining that the corresponding related device is abnormal includes: Acquire the device data collected in real time; When the device data is not within the normal fluctuation range, acquiring device data at a previous time point and a next time point of the data; The three acquired device data are averaged to obtain average device data; Determining whether the average device data is within the normal fluctuation range; When the average device data is not within the normal fluctuation range, it is determined that the corresponding related device is abnormal.

9. The office distribution station monitoring and operation and maintenance system according to claim 8 is characterized in that: When the device data collected in real time is not within the normal fluctuation range, determining that the corresponding related device is abnormal includes: When the average device data is within the normal fluctuation range, it is determined that the corresponding related device is normal.

Images