Intelligent substation equipment online monitoring system based on data fusion technology

Abstract

The invention belongs to the technical field of substation equipment monitoring, and discloses an intelligent substation equipment online monitoring system based on a data fusion technology. The system comprises a monitoring period division module, an environment monitoring analysis module, a switch equipment quality monitoring analysis module, a transformer quality monitoring analysis module, a protection equipment quality monitoring analysis module, an abnormal condition identification module and a data storage library. According to the invention, when the operation state of the equipment is monitored, operation state monitoring is carried out by aiming at multiple indexes of the switch equipment, the transformer and the protection equipment of the target transformer substation, so that whether the target transformer substation has an abnormal operation condition or not is judged, and the analysis mode ensures the monitoring comprehensiveness; and the overall operation state of the transformer substation can be evaluated more accurately. The invention further provides a function of identifying specific operation abnormal tendency equipment and specific operation hidden danger time periods, a maintenance plan can be arranged in a targeted manner, unnecessary maintenance is reduced, and the maintenance efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of substation equipment monitoring, and relates to an intelligent substation equipment online monitoring system based on data fusion technology. Background Art

[0002] Substations are key components of power systems, mainly used to transform voltage levels, distribute power, and protect the safe operation of power systems. Substation equipment is an important part of the complex power system of substations. They work together to achieve the transformation, distribution and transmission of electric energy, usually including transformers, protection devices and switchgear. Traditional substation equipment monitoring has obvious shortcomings in information processing and monitoring capabilities, automation and intelligence levels, and information processing speed. Therefore, online monitoring of intelligent substation equipment based on data fusion technology is of great significance.

[0003] In the prior art, there are also related solutions involving online monitoring of substation equipment. For example, the invention patent application of a substation monitoring system with Chinese patent number CN116995809A provides a substation monitoring system, which includes a patrol robot, an environmental monitoring sensor, a terminal control module, a network transmission module and a remote monitoring center. The patrol robot is used to obtain instrument data of power equipment. The environmental monitoring sensor is used to obtain the environmental parameters of the environment in which the power equipment is located. The terminal control module is used to parse the monitored environmental parameters and instrument data and upload them to the remote monitoring center. Real-time monitoring of the substation operating environment and pointer instrument data of power equipment is achieved, the operation and maintenance management of the smart substation is improved, and its safe, stable and effective operation is ensured. The problem that the current substation monitoring system is difficult to interact and basic operation and maintenance still requires manual intervention is solved, and unmanned operation is achieved.

[0004] Although the above schemes have proposed some solutions for substation equipment monitoring, they still have certain limitations: on the one hand, the existing substation equipment monitoring process usually only monitors the actual operating parameters of each equipment instrument, ignoring the interaction between different equipment and the operating status of the overall system. This analysis method reduces the comprehensiveness and accuracy of equipment operating status analysis and lacks effective data integration methods, which may lead to data islands, making it difficult to conduct cross-device correlation analysis, which may lead to the failure to timely discover potential hidden dangers or impending failures.

[0005] On the other hand, the existing substation equipment monitoring process monitors the environment and equipment operating parameters independently, ignoring the impact of abnormal environmental conditions on the equipment operating status. This analysis method cannot fully evaluate the true operating status of the equipment. When the equipment is abnormal, if the impact of environmental factors is not considered, it may be mistakenly attributed to the failure of the equipment itself, resulting in a deviation in the direction of fault diagnosis and increasing the difficulty of diagnosis. If environmental factors are not taken into account, unnecessary maintenance or replacement may be performed when it is not necessary, resulting in a waste of resources. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, an online monitoring system for intelligent substation equipment based on data fusion technology is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: An online monitoring system for intelligent substation equipment based on data fusion technology is characterized by comprising: a monitoring period division module for dividing the monitoring period into a plurality of monitoring periods.

[0008] The environmental monitoring and analysis module is used to record the smart substation to be analyzed as the target substation, monitor the environmental information of the target substation, obtain the spatial environmental information data of the target substation in each monitoring period, analyze the environmental evaluation of the target substation in each monitoring period, and provide feedback.

[0009] The switchgear quality monitoring and analysis module is used to monitor the switchgear of the target substation, obtain the switchgear operation quality data of the target substation in each monitoring period, and analyze the quality compliance coefficient of the switchgear of the target substation in each monitoring period.

[0010] The transformer quality monitoring and analysis module is used to monitor the transformer of the target substation, obtain the transformer operation quality data of the target substation in each monitoring period, and analyze the quality compliance coefficient of the transformer of the target substation in each monitoring period.

[0011] The protection equipment quality monitoring and analysis module is used to monitor the protection equipment of the target substation to obtain the historical protection equipment working records and store them in the data repository. Based on the historical protection equipment working records, the protection equipment operation quality data of the target substation in each monitoring period is obtained, and the quality compliance coefficient of the protection equipment of the target substation in each monitoring period is analyzed.

[0012] The abnormal situation identification module is used to determine whether there is an abnormal operation in the target substation. If so, it identifies the specific equipment with abnormal operation tendency and the specific time period of operation potential danger.

[0013] A data repository for maintaining records of historical conservation equipment work.

[0014] Compared with the prior art, the present invention has the following beneficial effects: (1) When monitoring the operating status of equipment, the present invention monitors the operating status of multiple indicators of the switchgear, transformer and protection equipment of the target substation, and then determines whether there is any abnormal operation in the target substation. This analysis method ensures the comprehensiveness of monitoring and can more accurately evaluate the overall operating status of the substation. Specific monitoring indicators are set for different types of equipment, which means that the monitoring system can capture the abnormal signals unique to each type of equipment in more detail. Through real-time monitoring of multiple indicators, the abnormal status of the equipment can be discovered at an early stage, so that timely measures can be taken to avoid accidents.

[0015] (2) When performing comprehensive equipment operation quality compliance coefficient analysis, the present invention obtains a corrected comprehensive equipment operation quality compliance coefficient by analyzing the comprehensive equipment operation quality compliance coefficient based on the environmental correction degree. This analysis method introduces the environmental correction degree, which can more accurately reflect the impact of environmental factors on equipment operation quality and make the evaluation results closer to the actual situation. It can be adjusted according to the equipment operation characteristics under different environmental conditions to improve the flexibility and adaptability of the evaluation method. More accurate evaluation of equipment operation quality helps to improve the overall reliability of the system.

[0016] (3) The present invention also provides a function of identifying specific equipment with a tendency to operate abnormally and specific time periods of potential operating hazards. By identifying specific equipment with a tendency to operate abnormally, this function can arrange maintenance plans in a targeted manner, reduce unnecessary maintenance activities, improve maintenance efficiency, and clearly point out which equipment has a tendency to operate abnormally, which helps to quickly locate the source of the fault and shorten the troubleshooting time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0019] Figure 2 A schematic diagram of an embodiment of correcting the comprehensive equipment operation quality compliance coefficient analysis of the present invention.

[0020] Figure 3 The present invention is a logical flow chart for identifying and judging equipment with abnormal operation tendency. DETAILED DESCRIPTION

[0021] 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.

[0022] See also Figure 1 As shown, the present invention provides an online monitoring system for intelligent substation equipment based on data fusion technology, the system includes a monitoring period division module, an environmental monitoring and analysis module, a switch equipment quality monitoring and analysis module, a transformer quality monitoring and analysis module, a protection equipment quality monitoring and analysis module, an abnormal situation identification module and a data storage library, wherein the monitoring period division module is respectively connected to the environmental monitoring and analysis module, the switch equipment quality monitoring and analysis module, the transformer quality monitoring and analysis module and the protection equipment quality monitoring and analysis module, the environmental monitoring and analysis module, the switch equipment quality monitoring and analysis module, the transformer quality monitoring and analysis module and the protection equipment quality monitoring and analysis module are all connected to the abnormal situation identification module, the data storage library is connected to the protection equipment quality monitoring and analysis module, and the protection equipment quality monitoring and analysis module is connected to the data storage library.

[0023] The monitoring period division module is used to divide the monitoring period into a plurality of monitoring periods.

[0024] It is necessary to further explain the reason for dividing the monitoring period: the operating status of substation equipment may change over time, and the division of monitoring periods helps to identify such periodic changes, such as the impact of factors such as day and night temperature differences and seasonal changes on equipment. The working conditions and external environment of the equipment may be different in different time periods. By dividing the monitoring period, abnormal conditions can be identified more accurately and the accuracy of fault detection can be improved.

[0025] Exemplary, a specific way of dividing the monitoring time periods is as follows: a natural day is divided into several monitoring time periods with equal intervals of 4 hours, specifically: 0:00-4:00, 4:00-8:00, 8:00-12:00, 12:00-16:00, 16:00-20:00, 20:00-24:00.

[0026] The environmental monitoring and analysis module is used to record the smart substation to be analyzed as the target substation, perform environmental information monitoring on the target substation, obtain spatial environmental information data of the target substation in each monitoring period, analyze the environmental evaluation of the target substation in each monitoring period, and provide feedback.

[0027] As a preferred feasibility example, the space environment information data includes temperature, humidity, electromagnetic intensity and dust concentration.

[0028] It needs to be further explained that the reasons for selecting temperature, humidity, electromagnetic intensity and dust concentration as the spatial environment data of the target substation are: 1. Temperature is one of the key factors affecting the performance and life of substation equipment. High temperature can cause equipment to overheat, accelerate the aging of insulating materials, and affect the heat dissipation efficiency of the equipment, thereby reducing the reliability and service life of the equipment. 2. A high humidity environment may cause condensation inside the equipment and increase the risk of electrical short circuits, especially at insulating materials and joints. 3. Electromagnetic field strength is an important indicator for measuring the electromagnetic environment in a substation. Excessive electromagnetic field strength may affect the normal operation of electronic equipment and even interfere with communication signals. 4. Dust accumulation will reduce the heat dissipation efficiency of the equipment and increase the temperature rise of the equipment.

[0029] As a preferred feasibility example, the analysis of the environmental evaluation of the target substation in each monitoring period requires the construction of the environmental correction degree of the target substation in each monitoring period. The specific analysis method is as follows: extract the temperature, humidity, electromagnetic intensity and dust concentration of the target substation in each monitoring period, respectively denoted as T i , H i 、E i 、Cd i , where i represents the number of the monitoring period, i=1, 2...m, and m represents the number of monitoring periods.

[0030] It needs to be further explained that the method of analyzing the temperature of the target substation during each monitoring period is as follows: using an infrared sensor to collect the temperature of the target substation at equal intervals to obtain a number of thermal images during each monitoring period, performing temperature analysis on the thermal images to obtain a number of temperatures of the target substation during each monitoring period, and then comparing and selecting the maximum temperature as the temperature of the target substation during each monitoring period.

[0031] It should be further explained that the analysis method of humidity, electromagnetic intensity and dust concentration of the target substation during each monitoring period is the same as above, wherein humidity, electromagnetic intensity and dust concentration can be monitored by humidity sensors, magnetic field intensity sensors and dust concentration sensors respectively.

[0032] It should be further supplemented that the specific method of performing temperature analysis on the thermal image is as follows: extract the thermal image of the target substation, obtain the area and chromaticity value of each chromaticity area in the thermal image, match the chromaticity value of each chromaticity area with the standard chromaticity value range temperature correspondence to obtain the temperature of each chromaticity area, classify each chromaticity area according to temperature to obtain each chromaticity area corresponding to each temperature, and then sum up the area of ​​each chromaticity area corresponding to each temperature to obtain the total area S of the chromaticity area corresponding to each temperature σ , and each temperature is recorded as sT σ, where σ represents the temperature number, σ=1, 2...τ.

[0033] Using the formula The target substation temperature sT of the thermal image is obtained by analysis, where S 0 Represents the total area of ​​the thermal image.

[0034] Using the formula The environmental correction degree Ec of the target substation in each monitoring period is obtained by analysis i , where T 0 Indicates the preset allowable ambient temperature, H 0 Indicates the preset allowable ambient humidity, E 0 Indicates the preset allowable environmental magnetic field strength, Cd 0 Indicates the preset allowable environmental dust concentration, Tc i represents the ambient temperature fluctuation index obtained based on the temperature information analysis of the target substation, Hc i Represents the environmental humidity fluctuation index obtained based on the humidity information analysis of the target substation.

[0035] It should be further explained that the selection basis of the allowable ambient temperature, allowable ambient humidity, allowable ambient magnetic field strength and allowable ambient dust concentration is: national or industry standards (such as IEEE standards, IEC standards, etc.) usually also stipulate the environmental conditions for the operation of substation equipment. These standards are intended to ensure that the equipment can operate safely and reliably within the specified environmental range. At the same time, based on the past operation experience and historical data of the substation, it is also possible to determine which environmental conditions have a significant impact on the performance of the equipment, so as to set the corresponding allowable values.

[0036] For example, T 0 =45℃、H 0 =90%, E 0 =80μT, Cd 0 =0.8mg / m 3 .

[0037] It should be further explained that the specific analysis of the ambient temperature fluctuation index is as follows: the temperature of the target substation in each monitoring period is extracted, and then the formula is used The ambient temperature fluctuation index Tc of the target substation is obtained by analysis i .

[0038] It should be noted that the analysis steps of the ambient humidity fluctuation index refer to the analysis steps of the ambient temperature fluctuation index.

[0039] The switchgear quality monitoring and analysis module is used to monitor the switchgear of the target substation, obtain the switchgear operation quality data of the target substation in each monitoring period, and analyze the quality compliance coefficient of the switchgear of the target substation in each monitoring period.

[0040] As a preferred feasibility example, the switch device operation quality data includes wear ratio, contact pressure and contact point resistance.

[0041] It is necessary to further explain the reason for monitoring the switchgear of the target substation: the switchgear is a key component of the power system and bears the important responsibility of controlling and protecting the power network. The reliability of the switchgear directly affects the continuity and stability of the power supply. Through monitoring, potential problems can be discovered in time, preventive measures can be taken, and the reliability of the power supply can be ensured.

[0042] It needs to be further explained that the reasons for selecting wear ratio, contact pressure and contact point resistance as the operating quality data of switchgear are: 1. The wear ratio reflects the degree of wear of the switchgear contacts and is one of the key indicators for evaluating the long-term reliability of switchgear. Contact wear can lead to poor contact, increase contact point resistance, and affect the performance of the switchgear. 2. Contact pressure is the pressure when the switchgear contacts are in contact, which is crucial to maintaining a good electrical connection. Insufficient contact pressure can lead to poor contact and increase contact point resistance, thus affecting the performance and reliability of the equipment. 3. Contact point resistance is the resistance between the contacts of the switchgear, which directly affects the energy loss when current passes through the contacts.

[0043] As a preferred feasibility example, the quality compliance coefficient of the target substation switch equipment in each monitoring period is analyzed in the following specific analysis method: the wear ratio, contact pressure and contact point resistance of each switch equipment in the target substation in each monitoring period are extracted and recorded as WR ij , CP ij , CR ij , where j represents the number of the switch device, j=1, 2...n, and n represents the number of the switch device.

[0044] It needs to be further explained that the wear ratio of each switch device in the target substation during each monitoring period is specifically analyzed as follows: a three-dimensional scanning device is used to obtain the contact height of each switch device at the start time and the contact height of each switch device at the end time of each monitoring period, and then the difference calculation is performed to obtain the wear amount of each switch device in each monitoring period, and then the ratio calculation is performed with the contact height of each switch device at the start time of the corresponding monitoring period to obtain the wear ratio of each switch device in the target substation during each monitoring period.

[0045] It needs to be further explained that the contact pressure of each switch device in the target substation during each monitoring period is specifically analyzed as follows: based on equal intervals, the contact pressure of each switch device in the target substation is monitored by a pressure sensor to obtain a number of pressure data, and the pressures corresponding to the same switch device in the same monitoring period are compared, and the maximum pressure is selected as the contact pressure of each switch device in each monitoring period.

[0046] It should be noted that the analysis method of the contact resistance is based on the analysis of the contact pressure. For example, the contact resistance can be measured using a low-resistance ohmmeter.

[0047] Using the formula The quality compliance coefficient QCf of the target substation switchgear in each monitoring period is obtained by analysis. i 1 , where WR 0j represents the initial wear ratio of the jth switchgear in the target substation, WR (i-1)j represents the wear ratio of the jth switchgear of the target substation during the i-1th monitoring period, CP 0 Indicates the permissible contact pressure threshold of the switchgear, CR 0 Indicates the permissible contact resistance threshold of the switching device, represents the average contact pressure of the i-th monitoring period obtained by analysis, x 0 Represents the contact pressure correction factor, when hour, when When x 0 =1.

[0048] The transformer quality monitoring and analysis module is used to monitor the transformer of the target substation, obtain the transformer operation quality data of the target substation in each monitoring period, and analyze the quality compliance coefficient of the transformer of the target substation in each monitoring period.

[0049] It is necessary to further explain the reason for monitoring the transformer of the target substation: the transformer is one of the core equipment in the power system, which undertakes the task of voltage conversion and ensures the efficient transmission and distribution of electricity. The reliability of the transformer directly affects the continuity and stability of power supply. Through monitoring, potential problems can be discovered in time, preventive measures can be taken, and the reliability of power supply can be ensured.

[0050] As a preferred feasibility example, the transformer operation quality data includes output voltage fluctuation coefficient and temperature rise.

[0051] It is necessary to further explain the reasons for selecting the output voltage fluctuation coefficient and temperature rise as the transformer operation quality data: 1. The output voltage fluctuation coefficient refers to the ratio of the AC component to the DC component in the transformer output voltage, which is usually used to evaluate the stability of the transformer output voltage. 2. The temperature rise refers to the difference between the temperature rise of the transformer in operation and the ambient temperature.

[0052] As a preferred feasibility example, the quality compliance coefficient of the target substation transformer in each monitoring period is analyzed in the following specific analysis method: extract the output voltage fluctuation coefficient and temperature rise of each transformer in the target substation in each monitoring period, respectively denoted as OVrf ik Tr ik , where k represents the number of the transformer, k=1, 2...l, l represents the number of transformers.

[0053] It needs to be further explained that the specific analysis of the output voltage fluctuation coefficient of each transformer of the target substation in each monitoring period is as follows: the output voltage of each transformer of the target substation in each monitoring period is obtained, and then the output voltage fluctuation curve of each transformer of the target substation in each monitoring period is plotted with time as the horizontal axis and the output voltage as the vertical axis, and the output voltage fluctuation curve of each transformer of the target substation in each monitoring period is evenly distributed, and the output voltage corresponding to each point is calculated by difference between the output voltage corresponding to each point and the average output voltage to obtain the output voltage deviation value corresponding to each point, and then the ratio is calculated with the average output voltage to obtain the output deviation degree of each point of the output voltage fluctuation curve of each transformer corresponding to the output voltage fluctuation curve of each transformer. The output deviation degree of each point of each output voltage fluctuation curve of each transformer is averaged to obtain the output voltage fluctuation coefficient of each transformer of the target substation in each monitoring period.

[0054] It needs to be further explained that the temperature rise analysis method of each transformer in the target substation during each monitoring period is: use the temperature sensor to obtain the equipment temperature and the ambient temperature at the end time of each transformer in the target substation during each monitoring period, and then perform the difference calculation to obtain the temperature rise of each transformer in the target substation during each monitoring period.

[0055] Using the formula The quality compliance coefficient QCf of the target substation transformer in each monitoring period is obtained by analysis i 2 , where Tr 0 It represents the preset maximum allowable temperature rise, and e represents the natural constant.

[0056] For example, Tr 0 =45℃.

[0057] The protection equipment quality monitoring and analysis module is used to monitor the protection equipment of the target substation to obtain historical protection equipment working records and store them in a data repository. Based on the historical protection equipment working records, the protection equipment operation quality data of the target substation in each monitoring period is obtained, and the quality compliance coefficient of the protection equipment of the target substation in each monitoring period is analyzed.

[0058] Exemplarily, the protection device may be a relay or a circuit breaker.

[0059] It is necessary to further explain the reason for monitoring the protection equipment of the target substation: the normal operation of the protection equipment is crucial to prevent the expansion of faults in the power system. Monitoring can ensure that the protection equipment can act in time when necessary to avoid greater accidents.

[0060] As a preferred feasibility example, the protection device operation quality data includes fault response accuracy and fault response duration.

[0061] It is necessary to further explain that the reasons for selecting fault response accuracy and fault response time as operation quality data are: 1. Fault response accuracy directly affects the isolation and recovery speed of faults, which is crucial to prevent the spread of faults. 2. Fast fault response can reduce the impact of faults on the power system and reduce the risk of equipment damage.

[0062] As a preferred feasibility example, the quality compliance coefficient of the target substation protection equipment in each monitoring period is analyzed as follows: extract the historical protection equipment work records stored in the data repository, and then obtain the fault response accuracy and fault response time of each protection equipment in the target substation in each monitoring period, which are recorded as FRa iq , FRt iq , where q represents the number of the protection device, q=1, 2...p, and p represents the number of the protection device.

[0063] It needs to be further explained that the analysis method of the fault response accuracy is: extract the historical protection device work records, obtain the historical fault response frequency and the determined fault response frequency of each protection device in each monitoring period, and calculate the ratio of the determined fault response frequency in each monitoring period to the historical fault response frequency to obtain the fault response accuracy of each protection device in each monitoring period.

[0064] It needs to be further explained that the analysis method of the fault response time is: extract the historical protection device work records, obtain the historical fault response time of each historical fault response of each protection device in each monitoring period, and then perform average calculation to obtain the fault response time of each protection device in each monitoring period.

[0065] Using the formula The quality compliance coefficient QCf of the target substation protection equipment in each monitoring period is obtained by analysis i 3 , where FRt 0 Indicates the preset reference fault response time.

[0066] The abnormal situation identification module is used to determine whether there is an abnormal operation in the target substation, and if so, to identify specific equipment with abnormal operation tendency and specific time period of operation potential danger.

[0067] As a preferred example of feasibility, see Figure 2 As shown, the determination of whether the target substation has an abnormal operation is specifically as follows: extracting the quality compliance coefficient of the switchgear of the target substation in each monitoring period, the quality compliance coefficient of the transformer, the quality compliance coefficient of the protection equipment and the environmental correction degree Ec of the target substation in each monitoring period i , and then analyze and obtain the corrected comprehensive equipment operation quality compliance coefficient of the target substation in each monitoring period.

[0068] The corrected comprehensive equipment operation quality compliance coefficient in each monitoring period of the target substation is compared with the pre-set comprehensive equipment operation quality compliance coefficient threshold to obtain a judgment result on whether there is any abnormal operation.

[0069] For further information, please refer to Figure 3 As shown, the specific analysis of the judgment result of whether there is an abnormal operation is as follows: compare the corrected comprehensive equipment operation quality compliance coefficient in each monitoring period of the target substation with the comprehensive equipment operation quality compliance coefficient threshold. If the corrected comprehensive equipment operation quality compliance coefficient in a certain monitoring period is greater than or equal to the comprehensive equipment operation quality compliance coefficient threshold, it is judged that there is no abnormal operation in the monitoring period; otherwise, it is judged that there is an abnormal operation in the monitoring period.

[0070] It should be noted that the present invention monitors the operating status of the target substation through multiple indicators of the switchgear, transformer and protection equipment when monitoring the operating status of the equipment, and then determines whether the target substation has any abnormal operation. This analysis method ensures the comprehensiveness of the monitoring and can more accurately evaluate the overall operating status of the substation. Specific monitoring indicators are set for different types of equipment, which means that the monitoring system can capture the abnormal signals unique to each type of equipment in more detail. Through real-time monitoring of multiple indicators, the abnormal status of the equipment can be discovered at an early stage, so that timely measures can be taken to avoid accidents.

[0071] It should be noted that the comprehensive equipment operation quality compliance coefficient is a quantitative indicator used to evaluate whether the equipment operation quality meets the expected standards. This coefficient is usually obtained through a comprehensive evaluation of multiple operating parameters. For example, the comprehensive equipment operation quality compliance coefficient threshold is 0.75.

[0072] As a preferred feasibility example, the analysis obtains the modified comprehensive equipment operation quality compliance coefficient of the target substation in each monitoring period as follows: extract the quality compliance coefficient of the switchgear, the quality compliance coefficient of the transformer and the quality compliance coefficient of the protection equipment of the target substation in each monitoring period, and then sum the quality compliance coefficient of the switchgear, the quality compliance coefficient of the transformer and the quality compliance coefficient of the protection equipment in the same monitoring period to obtain the comprehensive equipment operation quality compliance coefficient QCf of the target substation in each monitoring period. i .

[0073] Extract the environmental correction degree Ec of the target substation in each monitoring period i , and then the comprehensive equipment operation quality compliance coefficient QCf of the target substation during the corresponding monitoring period i The product calculation is performed to obtain the correction degree of the comprehensive equipment operation quality compliance coefficient of the target substation in each monitoring period, and then the correction degree of the comprehensive equipment operation quality compliance coefficient in each monitoring period is obtained by summing it with the comprehensive equipment operation quality compliance coefficient in the corresponding monitoring period.

[0074] It should be noted that, when performing the comprehensive equipment operation quality compliance coefficient analysis, the present invention obtains the corrected comprehensive equipment operation quality compliance coefficient by analyzing the comprehensive equipment operation quality compliance coefficient based on the environmental correction degree. This analysis method introduces the environmental correction degree, which can more accurately reflect the impact of environmental factors on the equipment operation quality, making the evaluation result closer to the actual situation. It can be adjusted according to the equipment operation characteristics under different environmental conditions to improve the flexibility and adaptability of the evaluation method. More accurate evaluation of equipment operation quality helps to improve the overall reliability of the system.

[0075] As a preferred feasibility example, the specific analysis steps of the equipment with abnormal operation tendency are as follows: extract the quality compliance coefficient of the target substation switch equipment, the quality compliance coefficient of the transformer and the quality compliance coefficient of the protection equipment in each monitoring period, and then perform mean calculations to obtain the average quality compliance coefficient of the switch equipment, the average quality compliance coefficient of the transformer and the average quality compliance coefficient of the protection equipment.

[0076] The average quality compliance coefficient of the switchgear, the average quality compliance coefficient of the transformer and the average quality compliance coefficient of the protection device are compared, and the device corresponding to the smallest quality compliance coefficient is selected as the device with abnormal operation tendency.

[0077] It should be noted that if the average quality compliance coefficient of the switch device is smaller than the average quality compliance coefficient of the transformer and the average quality compliance coefficient of the protection device, the specific abnormal tendency device is judged to be the switch device; if the average quality compliance coefficient of the transformer is smaller than the average quality compliance coefficient of the switch device and the average quality compliance coefficient of the protection device, the specific abnormal tendency device is judged to be the transformer; if the average quality compliance coefficient of the protection device is smaller than the average quality compliance coefficient of the switch device and the average quality compliance coefficient of the transformer, the specific abnormal tendency device is judged to be the protection device.

[0078] As a preferred feasibility example, the operation hazard period is specifically analyzed as follows: extract the corrected comprehensive equipment operation quality compliance coefficient within each monitoring period, compare the corrected comprehensive equipment operation quality compliance coefficient within each monitoring period, and select the monitoring period corresponding to the minimum corrected comprehensive equipment operation quality compliance coefficient as the operation hazard period.

[0079] It should be noted that the present invention also provides a function of identifying specific equipment with a tendency to operate abnormally and specific time periods of potential operating hazards. By identifying specific equipment with a tendency to operate abnormally, this function can arrange maintenance plans in a targeted manner, reduce unnecessary maintenance activities, improve maintenance efficiency, and clearly point out which equipment has a tendency to operate abnormally, which helps to quickly locate the source of the fault and shorten the troubleshooting time.

[0080] The data repository is used to store historical protection equipment work records.

[0081] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. The online monitoring system of intelligent substation equipment based on data fusion technology is characterized by: include: A monitoring period division module is used to divide the monitoring period into several monitoring periods; The environmental monitoring and analysis module is used to record the smart substation to be analyzed as the target substation, monitor the environmental information of the target substation, obtain the spatial environmental information data of the target substation in each monitoring period, analyze the environmental evaluation of the target substation in each monitoring period, and provide feedback; The switchgear quality monitoring and analysis module is used to monitor the switchgear of the target substation, obtain the switchgear operation quality data of the target substation in each monitoring period, and analyze the quality compliance coefficient of the switchgear of the target substation in each monitoring period; The transformer quality monitoring and analysis module is used to monitor the transformer of the target substation, obtain the transformer operation quality data of the target substation in each monitoring period, and analyze the quality compliance coefficient of the transformer of the target substation in each monitoring period; The protection equipment quality monitoring and analysis module is used to monitor the protection equipment of the target substation to obtain the historical protection equipment working records and store them in the data repository. Based on the historical protection equipment working records, the protection equipment operation quality data of the target substation in each monitoring period is obtained, and the quality compliance coefficient of the protection equipment of the target substation in each monitoring period is analyzed; The abnormal situation identification module is used to determine whether the target substation has abnormal operation. If so, it identifies the specific equipment with abnormal operation tendency and the specific time period of operation potential danger; A data repository for maintaining records of historical conservation equipment work.

2. The online monitoring system for intelligent substation equipment based on data fusion technology according to claim 1 is characterized in that: The space environment information data includes temperature, humidity, electromagnetic intensity and dust concentration; The switchgear operation quality data include wear ratio, contact pressure and contact resistance; The transformer operation quality data includes output voltage fluctuation coefficient and temperature rise; The protection device operation quality data includes fault response accuracy and fault response time.

3. The online monitoring system for intelligent substation equipment based on data fusion technology as claimed in claim 2 is characterized by: The analysis of the environmental evaluation of the target substation in each monitoring period requires the construction of the environmental correction degree of the target substation in each monitoring period. The specific analysis method is as follows: The temperature, humidity, electromagnetic intensity and dust concentration of the target substation in each monitoring period are extracted and recorded as T i , H i 、E i 、Cd i , where i represents the number of the monitoring period, i=1, 2...m, and m represents the number of monitoring periods; Using the formula The environmental correction degree Ec of the target substation in each monitoring period is obtained by analysis i , where T0 represents the preset allowable ambient temperature, H0 represents the preset allowable ambient humidity, E0 represents the preset allowable ambient magnetic field strength, Cd0 represents the preset allowable ambient dust concentration, Tc i represents the ambient temperature fluctuation index obtained based on the temperature information analysis of the target substation, Hc i Represents the environmental humidity fluctuation index obtained based on the humidity information analysis of the target substation.

4. The online monitoring system for intelligent substation equipment based on data fusion technology according to claim 2 is characterized in that: The specific analysis method of analyzing the quality compliance coefficient of the target substation switchgear in each monitoring period is as follows: The wear ratio, contact pressure and contact resistance of each switchgear in the target substation during each monitoring period are extracted and recorded as WR ij , CP ij , CR ij , where j represents the number of the switchgear, j=1, 2...n, n represents the number of the switchgear; Using the formula The quality compliance coefficient of the target substation switch equipment in each monitoring period is obtained by analysis Among them WR 0j represents the initial wear ratio of the jth switchgear in the target substation, WR( i-1 ) j represents the wear ratio of the jth switchgear of the target substation during the i-1th monitoring period, CP0 represents the allowable contact pressure threshold of the switchgear, CR0 represents the allowable contact resistance threshold of the switchgear, represents the average contact pressure of the i-th monitoring period obtained by analysis, x0 represents the contact pressure correction factor, when hour, when , x0=1.

5. The online monitoring system for intelligent substation equipment based on data fusion technology as claimed in claim 2 is characterized by: The specific analysis method of analyzing the quality compliance coefficient of the target substation transformer in each monitoring period is as follows: Extract the output voltage fluctuation coefficient and temperature rise of each transformer in the target substation during each monitoring period, and record them as OVrf ik Tr ik , where k represents the number of the transformer, k=1, 2...l, l represents the number of transformers; Using the formula The quality compliance coefficient QCf of the target substation transformer in each monitoring period is obtained by analysis i 2 , where Tr0 represents the preset maximum allowable temperature rise and e represents the natural constant.

6. The online monitoring system for intelligent substation equipment based on data fusion technology according to claim 2 is characterized in that: The analysis of the quality compliance coefficient of the target substation protection equipment in each monitoring period is specifically analyzed as follows: Extract the historical protection equipment working records stored in the data repository, and then obtain the fault response accuracy and fault response duration of each protection equipment in the target substation during each monitoring period, which are recorded as FRa and FRa respectively. iq , FRt iq , where q represents the number of the protection device, q=1, 2...p, p represents the number of the protection device; Using the formula The quality compliance coefficient of the target substation protection equipment in each monitoring period is obtained by analysis FRt0 represents the preset reference fault response time.

7. The online monitoring system for intelligent substation equipment based on data fusion technology as claimed in claim 3 is characterized by: The specific method of judging whether the target substation has abnormal operation is as follows: Extract the quality compliance coefficient of the switchgear, transformer, protection equipment and environmental correction degree Ec of the target substation in each monitoring period i , and then analyze and obtain the corrected comprehensive equipment operation quality compliance coefficient in each monitoring period of the target substation; The corrected comprehensive equipment operation quality compliance coefficient in each monitoring period of the target substation is compared with the pre-set comprehensive equipment operation quality compliance coefficient threshold to obtain a judgment result on whether there is any abnormal operation.

8. The online monitoring system for intelligent substation equipment based on data fusion technology according to claim 7 is characterized in that: The modified comprehensive equipment operation quality compliance coefficient obtained by the analysis in each monitoring period of the target substation is as follows: The quality compliance coefficient of the switchgear, transformer and protection equipment of the target substation in each monitoring period is extracted, and then the quality compliance coefficient of the switchgear, transformer and protection equipment in the same monitoring period is summed up to obtain the comprehensive equipment operation quality compliance coefficient QCf of the target substation in each monitoring period. i ; Extract the environmental correction degree Ec of the target substation in each monitoring period i , and then the comprehensive equipment operation quality compliance coefficient QCf of the target substation during the corresponding monitoring period i The product calculation is performed to obtain the correction degree of the comprehensive equipment operation quality compliance coefficient of the target substation in each monitoring period, and then the correction degree of the comprehensive equipment operation quality compliance coefficient in each monitoring period is obtained by summing it with the comprehensive equipment operation quality compliance coefficient in the corresponding monitoring period.

9. The online monitoring system for intelligent substation equipment based on data fusion technology according to claim 7, characterized in that: The specific analysis steps of the abnormal operation tendency equipment are as follows: Extract the quality compliance coefficient of the switchgear, transformer and protection equipment of the target substation in each monitoring period, and then calculate the average value to obtain the average switchgear quality compliance coefficient, average transformer quality compliance coefficient and average protection equipment quality compliance coefficient; The average quality compliance coefficient of the switchgear, the average quality compliance coefficient of the transformer and the average quality compliance coefficient of the protection device are compared, and the device corresponding to the smallest quality compliance coefficient is selected as the device with abnormal operation tendency.

10. The online monitoring system for intelligent substation equipment based on data fusion technology according to claim 7, characterized in that: The specific analysis of the operation hidden danger period is as follows: The corrected comprehensive equipment operation quality compliance coefficient within each monitoring period is extracted, and the corrected comprehensive equipment operation quality compliance coefficient within each monitoring period is compared. The monitoring period corresponding to the minimum corrected comprehensive equipment operation quality compliance coefficient is selected as the operation hazard period.

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