Substation noise distribution state monitoring system based on digital twinning

Abstract

The invention relates to the technical field of noise monitoring, and particularly discloses a transformer substation noise distribution state monitoring system based on digital twinning, and the system comprises a digital twinning modeling and dividing module which is used for building a platform model of a transformer substation through digital twinning and dividing the platform model into a plurality of regions, each region is provided with only one group of transformer equipment, and each group of transformer equipment is provided with one group of transformer equipment; the data processing module is combined with information data of the data acquisition module and the data recording module to calculate corrected actual noise values in different time periods, and in the process, after the transformer substation surrounding environment information and the maintenance and maintenance records and the overhaul information of the transformer equipment are combined, the actual noise values of the transformer substation are calculated. According to the method, external interference factors can be eliminated to improve the reliability of a calculation result, so that the noise distribution state is accurately judged, the noise monitoring accuracy is improved, the running state of the power transformation equipment can be accurately judged subsequently, early warning can be timely performed to maintain the power transformation equipment, and the service life of the power transformation equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of noise monitoring, and in particular to a noise distribution status monitoring system for a substation based on digital twins. Background Art

[0002] Substations are places in power systems that transform voltage and current, receive and distribute electric energy. The substations in power plants are step-up substations, which boost the voltage of the electric energy generated by the generator and feed it into the high-voltage power grid. The construction and operation of substations not only help solve current energy problems, but also lay a solid foundation for future sustainable development.

[0003] During the use of the substation, the substation equipment inside will become abnormal after long-term use. Since a large amount of noise will be generated after the substation equipment's operating status becomes abnormal, in order to monitor the substation's operating status, the substation noise distribution status monitoring system will be used to monitor the noise of the substation. Then, based on the changes in the noise in the substation, the operating status of the substation equipment can be judged, which is convenient and quick.

[0004] In the prior art, when monitoring the noise of the substation, since the substation is usually set up in a relatively open place outdoors, some external interference factors still need to be considered when monitoring the noise. The external interference factors may make it impossible to accurately judge the noise distribution state, thereby reducing the accuracy of noise monitoring, resulting in the inability to make accurate judgments on the operating status of the substation equipment later. Summary of the invention

[0005] The purpose of the present invention is to provide a substation noise distribution status monitoring system based on digital twin to solve the following technical problems: How to improve the accuracy of noise monitoring and the accuracy of the results of judging the operating status of substation equipment.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A noise distribution status monitoring system for a substation based on digital twins, the system comprising: The digital twin modeling and division module is used to establish a platform model of the substation through the digital twin and divide it into multiple areas, and each area has only one set of substation equipment; Data acquisition module, used to collect noise values ​​in different areas and information about the surrounding environment of the substation; Data recording module, used to record the maintenance records and inspection information of all substation equipment; The data processing module is used to calculate the corrected actual noise values ​​in different time periods according to the information data of the data acquisition module and the data recording module, and judge whether the noise distribution status of different areas is qualified in combination with the preset noise value threshold; The analysis and early warning module is used to analyze the abnormal operation status of the substation equipment in a certain area and issue an early warning when it is judged that the noise distribution status in the area is unqualified.

[0007] Furthermore, the environmental information collected by the data acquisition module includes the current air humidity, wind speed and rainfall, and the information recorded by the data recording module includes the maintenance frequency of different substation equipment, the duration of each maintenance, the time since the last maintenance and the number of abnormal conditions.

[0008] Furthermore, the processing process of the data processing module includes: By formula Calculate the actual noise value after correction in the ath area in a data collection ; Where a is any area in the platform model of the substation established through digital twins, is the monitoring noise value in the ath area in a data collection, It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the noise value is obtained based on the test data. is the environmental impact coefficient in the ath area in a data collection, is the usage impact coefficient of the equipment in the ath area, and 2 is the weight coefficient, is the error influence coefficient.

[0009] Furthermore, the processing process of the data processing module also includes: The actual noise value corrected in all areas of a data acquisition is With the preset noise value threshold Make a comparison; If all All less than ,The system determines that in this data collection, the corrected actual noise values ​​in all areas are at a qualified level, which means that the substation equipment in all areas is in good operating condition; If any Greater than ,The system determines that in this data collection, the corrected actual noise values ​​in the area did not reach the qualified level, which means that the operating status of the substation equipment in the area may be abnormal, and issues an early warning.

[0010] Furthermore, the processing process of the data processing module also includes: By formula Calculate the environmental impact coefficient in the ath area in a data collection ; in, is the humidity in the ath area in a data collection, For the preset humidity, is the wind speed in the ath area in a data collection, is the preset wind speed, is the rainfall influence coefficient in a data collection, which is set according to the empirical fitting. is the area of ​​the obstruction in the ath region in a data collection, for The standard value of .

[0011] Furthermore, the processing process of the data processing module also includes: By formula Calculate the usage impact coefficient of the equipment in the ath area ; in, is the maintenance frequency of equipment in the ath area, is the preset maintenance frequency, is the number of days since the last maintenance of the equipment in the ath area. for The standard value of is the time spent on any maintenance of the equipment, n is the total number of maintenance times, is the time spent on the i-th maintenance of equipment in the a-th area, For all The average value of is the number of abnormal status of the equipment in the ath area, for The standard value of .

[0012] Furthermore, the warning process of the analysis and warning module includes: When it is determined that the operating state of the substation equipment in the ath area is abnormal, the operating state of the substation equipment in the adjacent area is detected; If there is no abnormality in the operation status of the substation equipment in the adjacent areas, only the current area will be warned; If there is an abnormality in the operating status of the substation equipment in the adjacent area, the corrected actual noise value in this area is compared with the corrected actual noise value in the adjacent area, and further judgment is made based on the size of the comparison result.

[0013] Furthermore, the monitoring process of the substation noise distribution status monitoring system includes: S1: First, establish a platform model of the substation through the digital twin modeling division module, and divide it into multiple areas, and each area has only one set of substation equipment; S2: Collect noise values ​​in different areas and information about the surrounding environment of the substation through the data acquisition module; S3: Record the maintenance records and inspection information of all substation equipment through the data recording module; S4: Calculate the corrected actual noise values ​​in different time periods through the data processing module, and judge whether the noise distribution status in different areas is qualified in combination with the preset noise value threshold; S5: When it is determined that the noise distribution state of a certain area is unqualified, the abnormality of the operation state of the substation equipment in the area is analyzed through the analysis and warning module, and a warning is issued.

[0014] Beneficial effects of the present invention: (1) The present invention calculates the corrected actual noise values ​​of different time periods by combining the information data of the data processing module with the data acquisition module and the data recording module. In this process, after combining the surrounding environment information of the substation and the maintenance and repair records and inspection information of the substation equipment, external interference factors can be eliminated to improve the reliability of the calculation results, thereby accurately judging the noise distribution state and improving the accuracy of noise monitoring, so that the operating state of the substation equipment can be accurately judged in the future, and early warning can be issued in time to maintain the substation equipment and increase its service life.

[0015] (2) The present invention can eliminate external interference factors and improve the reliability of the calculation results by combining the environmental impact coefficient in the ath area in a data collection and the use impact coefficient of the equipment in the ath area, thereby obtaining the corrected actual noise value in the ath area in a data collection. The system can accurately judge the noise distribution state according to the corrected actual noise value, thereby improving the accuracy of noise monitoring, so that the operating state of the substation equipment can be accurately judged later.

[0016] (3) The present invention uses the actual noise value corrected in all areas in a data collection With the preset noise value threshold By comparing, since the corrected actual noise value eliminates external interference factors, its data reliability is relatively high. By comparing on this basis, it is possible to accurately determine whether the actual noise values ​​in different areas are at a qualified level, and further determine whether there are any abnormalities in the operating status of substation equipment in different areas, thereby improving the accuracy of noise monitoring and the accuracy of the judgment results on the operating status of substation equipment.

[0017] (4) The present invention obtains the environmental impact coefficient in the ath area in a data collection by calculation. When the humidity in the air increases, the corona discharge formed by air ionization will be enhanced, thereby increasing the audible corona noise. When the wind speed increases, broadband noise similar to the cracking sound may be generated, and the size of the area of ​​the obstruction will also affect the diffusion of the noise. Therefore, the environmental impact coefficient in the ath area in a data collection is obtained by combining the environmental information to improve the accuracy and reliability of the calculation of the corrected actual noise value, thereby improving the accuracy of noise monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 It is a schematic block diagram of a noise distribution status monitoring system for a substation based on digital twin in the present invention; Figure 2 It is a flow chart of the noise distribution status monitoring process of the substation in the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, in one embodiment, the present application provides a substation noise distribution status monitoring system based on digital twin, the system comprising: The digital twin modeling and division module is used to establish a platform model of the substation through the digital twin and divide it into multiple areas, and each area has only one set of substation equipment; Data acquisition module, used to collect noise values ​​in different areas and information about the surrounding environment of the substation; Data recording module, used to record the maintenance records and inspection information of all substation equipment; The data processing module is used to calculate the corrected actual noise values ​​in different time periods according to the information data of the data acquisition module and the data recording module, and judge whether the noise distribution status of different areas is qualified in combination with the preset noise value threshold; The analysis and early warning module is used to analyze the abnormal operation status of the substation equipment in a certain area and issue an early warning when it is judged that the noise distribution status in a certain area is unqualified; Through the above technical scheme, this embodiment provides a digital twin modeling division module, which is used to establish a platform model of the substation and divide it into multiple areas, and each area has and only has one group of substation equipment. In daily use, the noise values ​​in different areas and the surrounding environment information of the substation are first collected through the data acquisition module, and the maintenance and repair records of all substation equipment, as well as the inspection information, are recorded and updated through the data recording module. After that, the corrected actual noise values ​​of different time periods are calculated by the data processing module according to the information data of the data acquisition module and the data recording module, and combined with the preset noise value threshold, the noise distribution status of different areas is judged to be qualified. When the noise distribution status of a certain area is judged to be unqualified, the abnormality of the operating status of the substation equipment in the area can be analyzed through the analysis and early warning module, and an early warning can be issued; The corrected actual noise values ​​of different time periods are calculated by combining the information data of the data processing module with the data acquisition module and the data recording module. In this process, after combining the surrounding environmental information of the substation and the maintenance records and inspection information of the substation equipment, external interference factors can be eliminated to improve the reliability of the calculation results, thereby accurately judging the noise distribution state and improving the accuracy of noise monitoring, so that the operating status of the substation equipment can be accurately judged in the future, and early warning can be issued in time to maintain the substation equipment and increase its service life.

[0022] The environmental information collected by the data acquisition module includes the current air humidity, wind speed and rainfall, and the information recorded by the data recording module includes the maintenance frequency of different substation equipment, the duration of each maintenance, the time since the last maintenance and the number of abnormal conditions; Through the above technical scheme, this embodiment provides environmental information collected by the data acquisition module, including the current air humidity, wind speed and rainfall, and information recorded by the data recording module, including the maintenance frequency of different substation equipment, the duration of each maintenance, the time since the last maintenance and the number of abnormal conditions. By collecting diversified data, not only the accuracy of subsequent calculation results can be improved, but also external interference factors can be minimized, thereby ensuring the reliability of subsequent calculation results, making the corrected actual noise value obtained by calculation closer to the real value, thereby improving the accuracy of noise monitoring while improving the accuracy of the operation status judgment results of the substation equipment.

[0023] The processing process of the data processing module includes: By formula Calculate the actual noise value after correction in the ath area in a data collection ; Where a is any area in the platform model of the substation established through digital twins, is the monitoring noise value in the ath area in a data collection, It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the noise value is obtained based on the test data. is the environmental impact coefficient in the ath area in a data collection, is the usage impact coefficient of the equipment in the ath area, and 2 is the weight coefficient, which can be set based on empirical data fitting. is the error influence coefficient, which can be set based on empirical data fitting; Through the above technical solution, this embodiment provides the corrected actual noise value in the ath region in a data collection. , can be obtained by formula By combining the environmental impact coefficient in the ath area in a data collection with the equipment use impact coefficient in the ath area, the external interference factors can be eliminated and the reliability of the calculation results can be improved, thereby obtaining the corrected actual noise value in the ath area in a data collection. The system can accurately judge the noise distribution state according to the corrected actual noise value, thereby improving the accuracy of noise monitoring, so that the operating state of the substation equipment can be accurately judged later.

[0024] The processing process of the data processing module also includes: The actual noise value corrected in all areas of a data acquisition is With the preset noise value threshold Make a comparison; If all All less than ,The system determines that in this data collection, the corrected actual noise values ​​in all areas are at a qualified level, which means that the substation equipment in all areas is in good operating condition; If any Greater than ,The system determines that in this data collection, the corrected actual noise values ​​in the area have not reached the qualified level, which means that the operating status of the substation equipment in the area may be abnormal, and issues an early warning; Through the above technical solution, this embodiment uses the actual noise value corrected in all areas in a data collection to obtain the corrected noise value. With the preset noise value threshold By comparing, since the corrected actual noise value eliminates external interference factors, its data reliability is relatively high. By comparing on this basis, it is possible to accurately determine whether the actual noise values ​​in different areas are at a qualified level, and further determine whether there are any abnormalities in the operating status of substation equipment in different areas, thereby improving the accuracy of noise monitoring and the accuracy of the judgment results on the operating status of substation equipment.

[0025] The processing process of the data processing module also includes: By formula Calculate the environmental impact coefficient in the ath area in a data collection ; in, is the humidity in the ath area in a data collection, For the preset humidity, is the wind speed in the ath area in a data collection, is the preset wind speed, is the rainfall influence coefficient in a data collection, which is set according to the empirical fitting. is the area of ​​the obstruction in the ath region in a data collection, for The standard value of Through the above technical solution, this embodiment provides the environmental impact coefficient in the ath area in a data collection , can be obtained by formula It is calculated that when the humidity in the air increases, the corona discharge formed by air ionization will be enhanced, resulting in an increase in the audible corona noise. When the wind speed increases, broadband noise similar to the cracking sound may be generated, and the size of the shielding area will also affect the diffusion of the noise. Therefore, when the humidity and wind speed in the ath area in a data collection are greater, and the area of ​​the shielding is larger, the environmental impact coefficient in the ath area in a data collection is The larger the value, the greater the interference to the actual noise value. On the contrary, when the humidity and wind speed in the ath area in a data collection are smaller and the area of ​​the shielding is smaller, the environmental impact coefficient in the ath area in a data collection is The smaller it is, the less interference it has on the actual noise value. By setting it in this way, the environmental impact coefficient in the ath area in a data collection is obtained by combining the environmental information to improve the accuracy and reliability of the calculation of the corrected actual noise value, thereby improving the accuracy of noise monitoring.

[0026] The processing process of the data processing module also includes: By formula Calculate the usage impact coefficient of the equipment in the ath area ; in, is the maintenance frequency of equipment in the ath area, is the preset maintenance frequency, is the number of days since the last maintenance of the equipment in the ath area. for The standard value of is the time spent on any maintenance of the equipment, n is the total number of maintenance times, is the time spent on the i-th maintenance of equipment in the a-th area, For all The average value of is the number of abnormal status of the equipment in the ath area, for The standard value of Through the above technical solution, this embodiment provides the usage impact coefficient of the equipment in the ath area , can be obtained by formula It is obvious that when the frequency of equipment maintenance in the ath region increases, and the number of days since the last maintenance and the number of abnormal conditions increase, the utilization impact coefficient of the equipment in the ath region increases. The larger the value, the more serious the aging of the equipment in the area is, and the noise may increase during operation. On the contrary, when the maintenance frequency of the equipment in the ath area is less, and the number of days since the last maintenance and the number of abnormal conditions are less, the use impact coefficient of the equipment in the ath area is The smaller it is, the less severe the aging of the equipment in the area is, and the smaller the increase in noise during operation is. By setting it this way, the accuracy and reliability of the calculation of the corrected actual noise value can be improved, thereby improving the accuracy of noise monitoring.

[0027] The early warning process of the analysis and early warning module includes: When it is determined that the operating state of the substation equipment in the ath area is abnormal, the operating state of the substation equipment in the adjacent area is detected; If there is no abnormality in the operation status of the substation equipment in the adjacent areas, only the current area will be warned; If there is an abnormality in the operation status of the substation equipment in the adjacent area, the corrected actual noise value in the area is compared with the corrected actual noise value in the adjacent area, and further judgment is made based on the comparison result; Through the above technical scheme, when this embodiment determines that there is an abnormality in the operating state of the substation equipment in the ath area, the operating state of the substation equipment in its adjacent area is detected. If there is no abnormality in the operating state of the substation equipment in the adjacent area, only the current area is warned and located. If there is an abnormality in the operating state of the substation equipment in the adjacent area, the corrected actual noise value in the current area is compared with the corrected actual noise value in the adjacent area, and multiple levels of alarms are made according to the order of the magnitude of the corrected actual noise values. Through such a setting, when it is determined that the noise distribution state of a certain area is unqualified, the abnormality of the operating state of the substation equipment in the area can be analyzed, and alarms of different levels can be made, so that maintenance personnel can decide on priority maintenance strategies according to alarms of different levels, thereby facilitating the implementation of maintenance work.

[0028] See also Figure 2 As shown, the monitoring process of the substation noise distribution status monitoring system includes: S1: First, establish a platform model of the substation through the digital twin modeling division module, and divide it into multiple areas, and each area has only one set of substation equipment; S2: Collect noise values ​​in different areas and information about the surrounding environment of the substation through the data acquisition module; S3: Record the maintenance records and inspection information of all substation equipment through the data recording module; S4: Calculate the corrected actual noise values ​​in different time periods through the data processing module, and judge whether the noise distribution status in different areas is qualified in combination with the preset noise value threshold; S5: When it is determined that the noise distribution state of a certain area is unqualified, the abnormal operation state of the substation equipment in the area is analyzed through the analysis and warning module, and a warning is issued; Through the above technical scheme, this embodiment provides a monitoring process of the substation noise distribution status monitoring system. First, a platform model of the substation is established through the digital twin modeling division module, and it is divided into multiple areas, and each area has and only has one group of substation equipment. Then, the noise values ​​in different areas and the surrounding environment information of the substation are collected through the data acquisition module, and the maintenance and repair records of all substation equipment and the inspection information are recorded through the data recording module. After that, the corrected actual noise values ​​of different time periods are calculated through the data processing module, and combined with the preset noise value threshold, the noise distribution status of different areas is judged to be qualified. When the noise distribution status of a certain area is judged to be unqualified, the abnormality of the operating status of the substation equipment in the area is analyzed through the analysis and early warning module, and an early warning is issued; Through such a setting, the corrected actual noise values ​​of different time periods are calculated through the data processing module in combination with the information data of the data acquisition module and the data recording module. In this process, after combining the surrounding environmental information of the substation and the maintenance and repair records and inspection information of the substation equipment, external interference factors can be eliminated to improve the reliability of the calculation results, thereby accurately judging the noise distribution state and improving the accuracy of noise monitoring, so that the operating status of the substation equipment can be accurately judged in the future, and timely early warning can be made to maintain the substation equipment to increase its service life.

[0029] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A noise distribution status monitoring system for substations based on digital twins, characterized in that: The system comprises: The digital twin modeling and division module is used to establish a platform model of the substation through the digital twin and divide it into multiple areas, and each area has only one set of substation equipment; Data acquisition module, used to collect noise values ​​in different areas and information about the surrounding environment of the substation; Data recording module, used to record the maintenance records and inspection information of all substation equipment; The data processing module is used to calculate the corrected actual noise values ​​in different time periods according to the information data of the data acquisition module and the data recording module, and judge whether the noise distribution status of different areas is qualified in combination with the preset noise value threshold; The analysis and early warning module is used to analyze the abnormal operation status of the substation equipment in a certain area and issue an early warning when it is judged that the noise distribution status in the area is unqualified.

2. A substation noise distribution status monitoring system based on digital twin according to claim 1, characterized in that: The environmental information collected by the data acquisition module includes the current air humidity, wind speed and rainfall, and the information recorded by the data recording module includes the maintenance frequency of different substation equipment, the duration of each maintenance, the time since the last maintenance and the number of abnormal conditions.

3. A noise distribution status monitoring system for substations based on digital twins according to claim 2, characterized in that: The processing process of the data processing module includes: By formula Calculate the actual noise value after correction in the ath area in a data collection ; Where a is any area in the platform model of the substation established through digital twins, is the monitoring noise value in the ath area in a data collection, It is the adjustment coefficient comparison table function, because according to the empirical data The influence of the range of values ​​on the noise value is obtained based on the test data. is the environmental impact coefficient in the ath area in a data collection, is the usage impact coefficient of the equipment in the ath area, and 2 is the weight coefficient, is the error influence coefficient.

4. A substation noise distribution status monitoring system based on digital twin according to claim 3, characterized in that: The processing process of the data processing module also includes: The actual noise value corrected in all areas of a data acquisition is With the preset noise value threshold Make a comparison; If all All less than ,The system determines that in this data collection, the corrected actual noise values ​​in all areas are at a qualified level, which means that the substation equipment in all areas is in good operating condition; If any Greater than ,The system determines that in this data collection, the corrected actual noise values ​​in the area did not reach the qualified level, which means that the operating status of the substation equipment in the area may be abnormal, and issues an early warning.

5. A noise distribution status monitoring system for substations based on digital twins according to claim 4, characterized in that: The processing process of the data processing module also includes: By formula Calculate the environmental impact coefficient in the ath area in a data collection ; in, is the humidity in the ath area in a data collection, For the preset humidity, is the wind speed in the ath area in a data collection, is the preset wind speed, is the rainfall influence coefficient in a data collection, which is set according to the empirical fitting. is the area of ​​the obstruction in the ath region in a data collection, for The standard value of .

6. A substation noise distribution status monitoring system based on digital twin according to claim 5, characterized in that: The processing process of the data processing module also includes: By formula Calculate the usage impact coefficient of the equipment in the ath area ; in, is the maintenance frequency of equipment in the ath area, is the preset maintenance frequency, is the number of days since the last maintenance of the equipment in the ath area. for The standard value of is the time spent on any maintenance of the equipment, n is the total number of maintenance times, is the time spent on the i-th maintenance of equipment in the a-th area, For all The average value of is the number of abnormal status of the equipment in the ath area, for The standard value of .

7. A substation noise distribution status monitoring system based on digital twin according to claim 1, characterized in that: The early warning process of the analysis and early warning module includes: When it is determined that the operating state of the substation equipment in the ath area is abnormal, the operating state of the substation equipment in the adjacent area is detected; If there is no abnormality in the operation status of the substation equipment in the adjacent areas, only the current area will be warned; If there is an abnormality in the operating status of the substation equipment in the adjacent area, the corrected actual noise value in this area is compared with the corrected actual noise value in the adjacent area, and further judgment is made based on the size of the comparison result.

8. A substation noise distribution status monitoring system based on digital twin according to claim 1, characterized in that: The monitoring process of the substation noise distribution status monitoring system includes: S1: First, establish a platform model of the substation through the digital twin modeling division module, and divide it into multiple areas, and each area has only one set of substation equipment; S2: Collect noise values ​​in different areas and information about the surrounding environment of the substation through the data acquisition module; S3: Record the maintenance records and inspection information of all substation equipment through the data recording module; S4: Calculate the corrected actual noise values ​​in different time periods through the data processing module, and judge whether the noise distribution status in different areas is qualified in combination with the preset noise value threshold; S5: When it is determined that the noise distribution state of a certain area is unqualified, the abnormality of the operation state of the substation equipment in the area is analyzed through the analysis and warning module, and a warning is issued.

Images