Adaptive environmental risk hydropower plant power socket box remote control and maintenance system

Abstract

The present invention discloses a remote control opening and maintenance system for a power socket box of a hydropower plant with adaptive environmental risks, which relates to the technical field of power socket fault detection. The system uses a trained environmental pressure analysis model to analyze and calculate a real-time environmental pressure data set to obtain a temperature-pressure vector T(t i ), a salt spray corrosion index Ywf(t i ), a pollution blockage index Nr(t i ), a surge transient index Dyst(t i ), a water level risk index Swfx(t i ), and a biological invasion index B i , and evaluates and generates corresponding alarm instructions and strategies; each alarm instruction corresponds to a specific regulation strategy, which can accurately respond to different environmental pressure situations. The regulation effect evaluation module can monitor the execution situation of the regulation strategy in real time, and timely find out whether the regulation effect meets the expectation by comparing the number of fault occurrences before and after regulation. Through adaptive calibration, the system can more flexibly adapt to different working environments and operating states, further improving the stability and reliability of the system.

Description

Technical Field

[0001] The invention relates to the technical field of power socket fault detection, and in particular to a remote control and maintenance system for a power socket box in a hydropower plant that is adaptive to environmental risks. Background Art

[0002] In the construction and operation of modern hydropower stations, power socket boxes, as one of the key electrical equipment, undertake the important tasks of power distribution and electrical protection. However, since hydropower stations are often located in remote areas or coastal areas, their operating environment is complex and changeable, and they are easily affected by various environmental factors. These environmental factors not only threaten the normal operation of the power socket box, but also bring serious hidden dangers to the power supply and safety of the entire hydropower station.

[0003] First, hydropower stations are mostly built in remote mountainous areas or near rivers and lakes with abundant water resources. These places have inconvenient transportation and difficult maintenance and repair work. At the same time, due to the special geographical location, the climatic conditions in these areas are usually harsh, with large changes in temperature and humidity. Especially in cold and rainy seasons, the temperature difference between the internal and external environment can easily lead to condensation inside the power socket box, forming condensed water, which can cause problems such as electrical short circuits and equipment corrosion.

[0004] Secondly, hydropower stations in coastal areas face more severe environmental challenges. Due to their proximity to the ocean, the concentration of salt spray in the air is high, which has a strong corrosive effect on metal parts. Long-term exposure to salt spray will gradually corrode the metal shell and internal components of the power socket box, resulting in poor contact, reduced insulation performance, and even equipment failure. In addition, wind and sand in coastal areas and dust particles in the air will also pollute and clog the power socket box, aggravating the wear and aging of the equipment.

[0005] In addition, in areas with frequent lightning activities, especially during thunderstorms in summer, lightning and power surges pose a serious threat to power socket boxes. Lightning may directly hit the power socket box or transmit power surges through the power grid, causing instantaneous high voltage damage to the equipment, or even causing disasters such as fires. The water level changes near hydropower stations also require special attention. Rising water levels may cause power socket boxes to be flooded, further increasing the risk of equipment failure.

[0006] In summary, due to the remote location and special environmental conditions of the hydropower station, its power socket box is easily affected by a variety of environmental factors, resulting in frequent failures. Traditional manual maintenance and regular inspection methods are difficult to monitor and respond to these complex and changing environmental pressures in real time. In order to solve this problem, the adaptive environmental risk hydropower plant power socket box remote control and maintenance system came into being. Summary of the invention

[0007] 1. Technical issues to be resolved

[0008] In view of the deficiencies in the prior art, the present invention provides an adaptive environmental risk hydropower plant power socket box remote control and maintenance system, which solves the problems mentioned in the background technology.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions: an adaptive environmental risk hydropower plant power socket box remote control opening system, including a three-dimensional modeling module, a first environmental monitoring module, a second self-diagnosis module, a data analysis module, a response module and a control module;

[0011] The three-dimensional modeling module is used to establish a three-dimensional electrical model of the hydropower plant, and the power socket boxes in the hydropower plant are arranged according to D1, D2, D3, ..., D n , n represents the number of power socket boxes, which are first marked in the three-dimensional electrical model of the hydropower plant and divided into several areas;

[0012] The first environmental monitoring module is used to install sensor sets in several areas to monitor the internal and external environmental data of the power socket box in real time, wherein the internal and external environmental data include temperature and humidity information, air salt spray concentration information, dust pollutant concentration information, lightning activity and surge information, hydropower plant water level change information, and biological monitoring intrusion information, and to construct an environmental pressure data set;

[0013] The second self-diagnosis module is used to monitor the input and output voltage and current of the power socket box, and through the pattern recognition algorithm, when the input and output voltage and current exceed the threshold range, a self-diagnosis test is performed to obtain the input and output voltage and current abnormal data, and obtain the second abnormal data;

[0014] The data analysis module is used to associate the environmental pressure data set with the second abnormal data, establish an environmental pressure analysis model, analyze and calculate the environmental pressure data set, and obtain: temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i ;

[0015] The response module is used to respond to the temperature and pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i), water level risk index Swfx(t i ) and biological invasion index B i Evaluate them respectively, obtain corresponding evaluation results, and generate corresponding control strategies according to the corresponding evaluation results by the control module.

[0016] Preferably, the three-dimensional modeling module includes a spatial data acquisition unit;

[0017] The spatial data acquisition unit is used to use a laser scanner to scan and collect data on equipment and building structures in the hydropower plant, and import the scanned point cloud data into three-dimensional modeling software to generate a three-dimensional electrical model of the hydropower plant; and in the three-dimensional electrical model of the hydropower plant, a plurality of power socket boxes are divided into a plurality of electrical areas for management, and current sensors and voltage sensors are installed in the power socket boxes to monitor and record the current data and voltage data of each power socket box in real time.

[0018] Preferably, the first environment monitoring module includes a temperature and humidity monitoring submodule, a salt spray monitoring submodule, a dust and pollutant monitoring submodule, a lightning and surge monitoring submodule and a water level monitoring submodule;

[0019] The temperature and humidity monitoring submodule is used to install temperature and humidity sensors inside and outside the power socket box, respectively, to measure and obtain: the external air temperature wwd, the internal air temperature nwd, the external humidity value wsd and the internal humidity value nsd; and calculate the external dew point temperature T by the external air temperature wwd and the external humidity value wsd through the following formula w (t i ):

[0020]

[0021] The internal dew point temperature T is calculated by the internal air temperature nwd and the internal humidity value nsd n (t i ):

[0022]

[0023] The salt spray monitoring submodule is used to install a salt spray concentration sensor and a deposition rate sampler inside and outside the power socket box to collect and obtain the salt spray concentration value ywnd and the salt spray deposition rate ywcj;

[0024] The dust and pollutant monitoring submodule is used to install a dust particle concentration sensor inside the power socket box to collect and obtain the PM2.5 air particle concentration value n1 and the PM10 air particle concentration value n2;

[0025] The lightning and surge monitoring submodule is used to install surge sensors and electric field detectors inside the power socket box to monitor and obtain the lightning intensity eamp 、Lightning frequency freq , the timestamp of lightning occurrence, surge current I surge and surge duration t surge ;

[0026] The water level monitoring submodule is used to install a water level sensor in a reservoir or dam body connected to a hydropower plant to collect and obtain the water level h.

[0027] Preferably, the first environmental monitoring module further includes a biological invasion monitoring submodule;

[0028] The biological invasion monitoring submodule is used to form a network covering the monitoring area around the power socket box, install infrared sensors and cameras, and identify and record the frequency of biological appearance by monitoring the infrared radiation emitted by the biological body. b and the number of organisms N b , extract the biological volume features from the video frames captured by the camera and the scanning data of the infrared sensor, calculate the volume of each organism through image processing algorithms and volume estimation methods, and then obtain the average volume V b .

[0029] Preferably, the second self-diagnosis module includes a voltage and current data acquisition unit and a pattern recognition unit;

[0030] The voltage and current data acquisition unit is used to install a voltage sensor and a current sensor in the power socket box to collect the input voltage V in , output voltage V out 、Input current I in and the output voltage I out , establish the original data set, and filter, remove noise and standardize the original data set;

[0031] The mode recognition unit is used to set the threshold range of input and output voltage and current according to the normal working range of the device, including: input voltage threshold range: V in,min ≤V in ≤V in,max ;

[0032] Output voltage threshold range: V out,min ≤V out ≤V out,max ;

[0033] Input current threshold range: I in,min ≤I in ≤I in,max ;

[0034] Output current threshold range: I out,min ≤I out ≤I out,max;

[0035] If the monitored input voltage V in , output voltage V out 、Input current I in and the output voltage I out If the input voltage V exceeds the set threshold, it is considered abnormal; and the second abnormal data is established, and the pattern recognition algorithm, including support vector machine SVM, random forest or neural network, is used to classify the second abnormal data. in , output voltage V out 、Input current I in and the output voltage I out Input voltage V in , output voltage V out 、Input current I in and the output voltage I out When the set threshold range is exceeded, the self-diagnosis abnormal test feedback is triggered.

[0036] Preferably, the data analysis module includes a data preprocessing unit and an environmental pressure model building unit;

[0037] The data preprocessing unit is used to perform data cleaning and normalization processing on the environmental pressure data set;

[0038] The environmental pressure model building unit is used to use a machine learning model to build an environmental pressure analysis model, collect historical data to train the model, predict the impact of environmental pressure on equipment abnormalities, and use the validation set to verify the model. Then, the trained environmental pressure analysis model is used to analyze and calculate the environmental pressure data set to obtain: temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i .

[0039] Preferably, the temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ) and water level risk index Swfx(t i ) is generated by the following formula:

[0040]

[0041] In the formula, T(ti ) represents the tth i The temperature and pressure state of the environment where the power socket box is located at a certain time point; T w (t i ) indicates that at the tth i Time point, measure the Dth x External dew point temperature; T n (t i ) indicates that at the tth i Time point, measure the Dth x Internal dew point temperature;

[0042]

[0043] ywnd(t i ) indicates that at time t i The salt spray concentration value, ywcj(t i ) indicates that at time t i The salt spray deposition rate, cc represents the actual internal space volume value of the power socket box, and B represents the first correction constant coefficient;

[0044]

[0045] n1(t i ) indicates that at time t i PM2.5 air particle concentration value, n2(t i ) indicates that at time t i PM10 air particle concentration value, CCSl (t i ) represents the particle deposition rate, cc represents the actual internal space volume value of the power socket box, and C represents the second correction constant coefficient;

[0046]

[0047] I surge (t i ) indicates that at time t i Surge current, t surge (t i ) indicates that at time t i The duration of the surge; e amp Represents thunder

[0048] Electric strength, e freq Indicates the frequency of lightning;

[0049] Swfx(t i )=h(t i )+k*Δh(t i );

[0050] k represents the risk adjustment factor of the current water level change rate for the power socket box flooding, h(t i ) means at time (t i )’s current water level, Δh(t i ) means at time (t i )’s water level change rate;

[0051] At each moment t i , collect the frequency of small animals or insects F b (t i ), and at each moment, record the number of small animals or insects N b (t i ) and the average volume V b (t i ), the biological invasion index B is generated by the following formula i :

[0052] B i =F b (t i )*N b (t i )*V b (t i ).

[0053] Preferably, the response module includes a first evaluation unit, a second evaluation unit, a third evaluation unit, a fourth evaluation unit, a fifth evaluation unit and a sixth evaluation unit;

[0054] The first evaluation unit is used to convert the temperature pressure vector T(t i ) is compared with the first temperature threshold value X1 and the second temperature threshold value X2 to obtain a first evaluation result, including: the temperature pressure vector T(t i )>first temperature threshold value X1, indicating that the dew point temperature inside and outside the power socket box is abnormally overheated, and a first alarm instruction is generated; second temperature threshold value X2≤temperature pressure vector T(t i )≤ the first temperature threshold value X1, indicating that the temperature pressure vector of the power socket box is normal; when the temperature pressure vector T(t i )<second temperature threshold value X2, indicating that the internal and external dew points are abnormal, there is a risk of condensation water, and a second alarm instruction is generated;

[0055] The second evaluation unit is used to calculate the salt spray corrosion index Ywf(t i ) is compared with the second corrosion threshold F2 to obtain a second evaluation result, including: when the salt spray corrosion index Ywf(t i )>the second corrosion threshold F2, indicating that the salt spray corrosion level is unqualified and there is a risk of equipment damage, and a third alarm instruction is generated; when the salt spray corrosion index Ywf(t i)≤the second corrosion threshold F2, indicating that salt spray corrosion is normal and there is no risk of equipment damage;

[0056] The third evaluation unit is used to calculate the pollution blockage index Nr(t i ) is compared with the third pollution blocking threshold value X3 to obtain a third evaluation result, including: when the pollution blocking index Nr(t i )>the third pollution blockage threshold value X3, indicating that the pollution blockage degree is unqualified and there is a risk of equipment damage, and a fourth alarm instruction is generated; when the pollution blockage index Nr(t i )≤the third pollution blockage threshold value X3, indicating that the pollution blockage degree is qualified and there is no risk of equipment damage;

[0057] The fourth evaluation unit is used to calculate the surge transient index Dyst(t i ) is compared with the fourth risk threshold value X4 to obtain a fourth evaluation result, including: when the surge transient index Dyst(t i )>the fourth risk threshold value X4, indicating that there is a risk of lightning strike, and generating a fifth alarm instruction; when the surge transient index Dyst(t i )≤the fourth risk threshold X4, indicating no lightning strike risk;

[0058] The fifth evaluation unit is used to calculate the water level risk index Swfx(t i ) is compared with the fifth risk threshold value X5 to obtain the fifth assessment result, including: when the water level risk index Swfx(t i )>the fifth risk threshold value X5, indicating that there is a risk of flooding and waterlogging, and the sixth alarm instruction is generated; when the water level risk index Swfx(t i )≤the fifth risk threshold X5, indicating no flood disaster risk;

[0059] The sixth evaluation unit is used to calculate the biological invasion index B i Compared with the sixth risk threshold X6, the sixth assessment result is obtained, including: when the biological invasion index B i > the sixth risk threshold X6, indicating that there is a risk of biological invasion and equipment damage, and the seventh alarm instruction is generated; when the biological invasion index B i ≤ the sixth risk threshold X6, indicating no risk of biological invasion.

[0060] Preferably, the control module includes a remote control unit; the remote control unit is used to generate a corresponding strategy according to the corresponding alarm instruction:

[0061] Generating a first strategy according to the first alarm instruction, starting a remotely controlled cooling device to cool the inside of the power socket box;

[0062] generating a second strategy according to the second alarm instruction, starting a remotely controlled dehumidification device to initially dehumidify the interior of the power socket box to prevent the formation of condensed water;

[0063] generating a third strategy according to the third alarm instruction, and starting the remotely controlled antiseptic equipment, including spraying an antiseptic or increasing ventilation;

[0064] generating a fourth strategy according to the fourth alarm instruction, starting a remotely controlled cleaning device, including a filter or an air purifier, to filter and clean blocked pollutants;

[0065] generating a fifth strategy according to the fifth alarm instruction, and starting the lightning protection equipment of the remote control system, including a lightning arrester and a surge protector;

[0066] generating a sixth strategy according to the sixth alarm instruction, starting the remotely controlled drainage equipment, including a water pump, to pump water, and turning off the power supply of the power socket box;

[0067] A seventh strategy is generated according to the seventh alarm instruction to start a remote-controlled driving device, including an ultrasonic driver and a motor device, for capturing and eliminating invading small animals.

[0068] Adaptive environmental risk hydropower plant power socket box remote maintenance system, including control effect evaluation module;

[0069] The control effect evaluation module is used to collect the number of faults gzcs of the power socket box after the control after the first strategy, the second strategy, the third strategy, the fourth strategy, the fifth strategy, the sixth strategy and the seventh strategy are implemented;

[0070] And collect the number of historical fault occurrences lscs;

[0071] Calculate and obtain the difference between the number of faults that occurred after regulation within the M period gzcs and the number of historical faults that occurred lscs, and obtain the first fault number difference E, E = lscs-gzcs;

[0072] When the first fault number difference E>control threshold Z, it means that the number of faults after control is significantly reduced and the control effect is qualified; when the first fault number difference E≤control threshold Z, it means that the number of faults after control is abnormal and the control effect is unqualified.

[0073] Preferably, it also includes a calibration module, which is used to lower the preset first temperature threshold X1, second temperature threshold X2, second corrosion threshold F2, third pollution and blockage threshold X3, fourth risk threshold X4, fifth risk threshold X5 and sixth risk threshold X6 by 10% when the regulation effect is evaluated to be unqualified, so as to increase the sensitivity of the system to the threshold changes and fault responses after the reduction.

[0074] (III) Beneficial effects

[0075] The present invention provides a remote control and maintenance system for power socket boxes in hydropower plants that are adaptive to environmental risks. It has the following beneficial effects:

[0076] (1) The adaptive environmental risk hydropower plant power socket box remote control and maintenance system can effectively improve the operation stability and safety of the power socket box by real-time monitoring of environmental pressure data and electrical parameters, combined with intelligent control and fault prediction technology, and provide a solid guarantee for the reliable operation of the hydropower station. At the same time, by regularly calibrating and analyzing the sensors, the long-term reliability and accuracy of the system are ensured, the maintenance cost and maintenance workload are reduced, and the operational efficiency and safety of the hydropower station are improved.

[0077] (2) The adaptive environmental risk hydropower plant power socket box remote control and maintenance system, the environmental pressure model establishment unit uses the machine learning model to analyze the environmental pressure data, and establishes and optimizes the environmental pressure analysis model by collecting and training historical data. The verified model can accurately predict the impact of environmental pressure on equipment abnormalities and provide a scientific basis for the safe operation of the equipment. The trained environmental pressure analysis model is used to analyze and calculate the real-time environmental pressure data set to obtain the temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i The system can use these indicators to accurately assess the environmental status of the power socket box, identify potential risks in a timely manner, and improve the effectiveness of preventive maintenance.

[0078] (3) The adaptive environmental risk remote control and maintenance system for the power socket box of the hydropower plant can monitor and dynamically analyze environmental parameters in real time, respond to environmental changes in a timely manner, and adjust the operating status and protection measures of the equipment. It ensures that the power socket box can maintain normal operation under various environmental conditions and ensure the power supply and safety of the hydropower station. The response module adopts multiple evaluation units, each of which corresponds to a specific environmental pressure indicator, such as temperature, salt spray corrosion, pollution blockage, surge transient, water level and biological invasion. This multi-dimensional evaluation method can comprehensively consider the impact of different environmental factors on the power socket box, improving the accuracy and comprehensiveness of the evaluation. By comparing with the preset threshold, the evaluation unit can quickly determine whether the current environmental status is normal and generate corresponding alarm instructions. When the environmental pressure indicator exceeds the threshold range, the system can issue an alarm in time to remind relevant personnel to pay attention to possible risks and take corresponding countermeasures to effectively avoid equipment failures and safety accidents. The control module adopts a remote control unit, which can generate corresponding control strategies according to different alarm instructions. This intelligent control method can realize remote monitoring and control of the power socket box, improving the response speed and flexibility of the system. Each alarm instruction corresponds to a specific control strategy, which can accurately respond to different environmental pressure situations. For example, in the case of abnormal overheating, the cooling equipment is started for cooling treatment; in the case of salt spray corrosion risk, the anti-corrosion equipment is started for anti-corrosion treatment. This precise response method can effectively protect the equipment from damage. The control strategy covers multiple aspects of protection measures, including cooling, dehumidification, anti-corrosion, cleaning, lightning protection, drainage and driving. Through comprehensive control, the environmental adaptability of the power socket box can be comprehensively improved, and various possible environmental risks can be effectively responded to. Using remote control, the power socket box can be remotely controlled through the network without manual on-site operation, saving manpower and time costs and improving operation and maintenance efficiency.

[0079] (4) The adaptive environmental risk hydropower plant power socket box remote control and maintenance system, the control effect evaluation module can monitor the execution of the control strategy in real time, and quickly evaluate the control effect by comparing the number of faults before and after the control. This real-time evaluation can timely discover whether the control effect meets expectations and provide timely reference for subsequent adjustments and optimizations. According to the comparison result of the first fault number difference E and the control threshold Z, the system can automatically judge the eligibility of the control effect. This automatic judgment function reduces the burden of manual intervention and improves the automation and reliability of the system. When the control effect is unqualified, the system can issue an early warning in time to prompt the operation and maintenance personnel to adjust the strategy or take other countermeasures to prevent the fault from further deteriorating. This fault warning mechanism helps to respond to potential safety risks in a timely manner and ensure the stable operation of the power socket box. The calibration module can automatically adjust the threshold of the system when the control effect is unqualified, and improve the system's sensitivity to environmental changes and fault responses. Through adaptive calibration, the system can adapt to different working environments and operating conditions more flexibly, further improving the stability and reliability of the system. Real-time evaluation of control effects and automatic calibration functions can reduce the workload and maintenance costs of maintenance personnel. The system can detect and handle problems in a timely manner, reducing human errors and missed inspections during maintenance and improving maintenance efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 This is a flowchart diagram of the adaptive environmental risk hydropower plant power socket box remote control and maintenance system of the present invention. DETAILED DESCRIPTION

[0081] 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.

[0082] Example 1

[0083] See also Figure 1 , the present invention provides an adaptive environmental risk hydropower plant power socket box remote control opening system, including a three-dimensional modeling module, a first environmental monitoring module, a second self-diagnosis module, a data analysis module, a response module and a control module;

[0084] The 3D modeling module is used to build a 3D electrical model of the hydropower plant. The power socket boxes in the hydropower plant are arranged according to D1, D2, D3, ..., D n , n represents the number of power socket boxes, which are first marked in the three-dimensional electrical model of the hydropower plant and divided into several areas;

[0085] The first environment monitoring module is used to install sensor sets in several areas to monitor the internal and external environmental data of the power socket box in real time. The internal and external environmental data include temperature and humidity information, air salt spray concentration information, dust pollutant concentration information, lightning activity and surge information, hydropower plant water level change information and biological monitoring intrusion information, and build an environmental pressure data set;

[0086] The second self-diagnosis module is used to monitor the input and output voltage and current of the power socket box, and through the pattern recognition algorithm, when the input and output voltage and current exceed the threshold range, a self-diagnosis test is performed to obtain the input and output voltage and current abnormal data, and obtain the second abnormal data;

[0087] The data analysis module is used to associate the environmental pressure data set with the second abnormal data, establish an environmental pressure analysis model, analyze and calculate the environmental pressure data set, and obtain: temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i ;

[0088] The response module is used to respond to the temperature and pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i Evaluate them respectively, obtain corresponding evaluation results, and generate corresponding control strategies according to the corresponding evaluation results by the control module.

[0089] In this embodiment, the first environmental monitoring module is used to install a sensor set in several areas to monitor the internal and external environmental data of the power socket box in real time. The internal and external environmental data include temperature and humidity information, air salt spray concentration information, dust pollutant concentration information, lightning activity and surge information, hydropower plant water level change information, and biological monitoring invasion information, and build an environmental pressure data set. The system provides multi-dimensional risk assessment, including temperature pressure, salt spray corrosion, pollution blockage, surge transient, water level risk and biological invasion. By comparing with the corresponding threshold, the evaluation results and alarm instructions are generated to timely warn of possible risks and ensure the safe operation of the equipment. The system can effectively improve the operating stability and safety of the power socket box by real-time monitoring of environmental pressure data and electrical parameters, combined with intelligent control and fault prediction technology, and provide solid guarantee for the reliable operation of the hydropower station. At the same time, by regularly calibrating and analyzing the sensors, the long-term reliability and accuracy of the system are ensured, the maintenance cost and maintenance workload are reduced, and the operating efficiency and safety of the hydropower station are improved.

[0090] Example 2: This example is an explanation of Example 1. Figure 1 ,Specifically, the three-dimensional modeling module includes a spatial data acquisition unit;

[0091] The spatial data acquisition unit is used to use a laser scanner to scan and collect data on equipment and building structures in the hydropower plant, and import the scanned point cloud data into the 3D modeling software to generate a 3D electrical model of the hydropower plant; and in the 3D electrical model of the hydropower plant, several power socket boxes are divided into several electrical areas for management, and current sensors and voltage sensors are installed in the power socket boxes to monitor and record the current data and voltage data of each power socket box in real time.

[0092] In this embodiment, through the 3D modeling module, a laser scanner is used to scan and collect the equipment and building structure data in the hydropower plant, and a 3D electrical model is generated. The model accurately locates the power socket box in space and divides the electrical area, and combines the real-time monitoring data of the current sensor and voltage sensor to achieve accurate management and efficient maintenance of the power socket box.

[0093] Example 3, this example is explained in Example 1, please refer to Figure 1 ,Specifically, the first environment monitoring module includes a temperature and humidity monitoring submodule, a salt spray monitoring submodule, a dust and pollutant monitoring submodule, a lightning and surge monitoring submodule and a water level monitoring submodule;

[0094] The temperature and humidity monitoring submodule is used to install temperature and humidity sensors inside and outside the power socket box to measure and obtain: external air temperature wwd, internal air temperature nwd, external humidity value wsd and internal humidity value nsd; and calculate the external dew point temperature T through the external air temperature wwd and the external humidity value wsd by the following formula w (t i ):

[0095]

[0096] The internal dew point temperature T is calculated by the internal air temperature nwd and the internal humidity value nsd n (t i ):

[0097]

[0098] The salt spray monitoring submodule is used to install salt spray concentration sensors and deposition rate samplers inside and outside the power socket box to collect and obtain the salt spray concentration value ywnd and the salt spray deposition rate ywcj;

[0099] The dust and pollutant monitoring submodule is used to install a dust particle concentration sensor inside the power socket box to collect and obtain the PM2.5 air particle concentration value n1 and the PM10 air particle concentration value n2;

[0100] The lightning and surge monitoring submodule is used to install surge sensors and electric field detectors inside the power socket box to monitor and obtain the lightning intensity. amp 、Lightning frequency freq , the timestamp of lightning occurrence, surge current I surge and surge duration t surge ;

[0101] The water level monitoring submodule is used to install water level sensors in the reservoir or dam body connected to the hydropower plant to collect and obtain the water level h.

[0102] In this embodiment, the first environment monitoring module includes multiple submodules, which can comprehensively monitor the environmental parameters inside and outside the power socket box. The temperature and humidity monitoring submodule accurately measures the air temperature and humidity inside and outside by installing temperature and humidity sensors inside and outside, and calculates the dew point temperature inside and outside to prevent the formation of condensed water. The salt spray monitoring submodule monitors the salt spray concentration and deposition rate in real time through the salt spray concentration sensor and the deposition rate sampler to prevent salt spray corrosion. The dust and pollutant monitoring submodule accurately obtains the PM2.5 and PM10 air particle concentrations by installing dust particle concentration sensors to ensure the cleanliness of the power socket box. The lightning and surge monitoring submodule monitors the lightning intensity, lightning frequency, lightning occurrence time, surge current and surge duration in real time through surge sensors and electric field detectors, effectively preventing lightning strikes and surges from damaging the power socket box and ensuring the safe operation of electrical equipment. The water level monitoring submodule monitors the water level changes in real time by installing water level sensors in the reservoir or dam body connected to the hydropower plant. Through water level monitoring, it is possible to timely warn of the potential risks brought by the rising water level, prevent the power socket box from being submerged or threatened by floods, and improve the safety and reliability of the system.

[0103] Example 4: This example is an explanation of Example 3. Figure 1 ,Specifically, the first environment monitoring module also includes a biological invasion monitoring submodule;

[0104] The biological invasion monitoring submodule is used to form a network covering the monitoring area around the power socket box, install infrared sensors and cameras, and identify and record the frequency of biological appearance by monitoring the infrared radiation emitted by the organisms. b and the number of organisms N b , extract the biological volume features from the video frames captured by the camera and the scanning data of the infrared sensor, calculate the volume of each organism through image processing algorithms and volume estimation methods, and then obtain the average volume V b .

[0105] In this embodiment, the biological invasion monitoring submodule forms a network covering the monitoring area around the power socket box, and uses infrared sensors and cameras to identify and record the frequency, quantity and volume characteristics of biological appearance by monitoring the infrared radiation emitted by the organisms and image processing algorithms. The system can detect and record the activities of small animals or insects in real time, assess the risk of biological invasion, and take corresponding protective measures to ensure the safe operation of the power socket box.

[0106] Example 5: This example is explained in Example 1. Figure 1 ,Specifically, the second self-diagnosis module includes a voltage and current data acquisition unit and a pattern recognition unit;

[0107] The voltage and current data acquisition unit is used to install voltage sensors and current sensors in the power socket box to collect input voltage V in , output voltage V out 、Input current I in and the output voltage I out , establish the original data set, and filter, remove noise and standardize the original data set;

[0108] The mode recognition unit is used to set the threshold range of input and output voltage and current according to the normal working range of the device, including: Input voltage threshold range: V in,min ≤V in ≤V in,max ;

[0109] Output voltage threshold range: V out,min ≤V out ≤V out,max ;

[0110] Input current threshold range: I in,min ≤I in ≤I in,max ;

[0111] Output current threshold range: I out,min ≤I out ≤I out,max ;

[0112] If the monitored input voltage V in , output voltage V out 、Input current I in and the output voltage I out If the input voltage V exceeds the set threshold, it is considered abnormal; and the second abnormal data is established, and the pattern recognition algorithm, including support vector machine SVM, random forest or neural network, is used to classify the second abnormal data. in , output voltage V out 、Input current I in and the output voltage I out Input voltage V in , output voltage V out 、Input current I in and the output voltage I out When the set threshold range is exceeded, the self-diagnosis abnormal test feedback is triggered.

[0113] In this embodiment, through the second self-diagnosis module, including the voltage and current data acquisition unit and the pattern recognition unit, the system can collect the input and output voltage and current data in real time, and filter, remove noise and standardize the data. The pattern recognition unit classifies and analyzes abnormal data through the set threshold range, combined with advanced pattern recognition algorithms such as support vector machine SVM, random forest or neural network, and timely discovers abnormal conditions in the operation of the power socket box, thereby improving the self-diagnosis capability and fault warning level of the system.

[0114] Example 6: This example is explained in Example 1. Figure 1 ,Specifically, the data analysis module includes a data preprocessing unit and an ,environmental pressure model building unit;

[0115] The data preprocessing unit is used to perform data cleaning and normalization processing on the environmental pressure data set;

[0116] The environmental pressure model building unit is used to use the machine learning model to build an environmental pressure analysis model, collect historical data to train the model, predict the impact of environmental pressure on equipment abnormalities, and use the validation set to verify the model. Then, the trained environmental pressure analysis model is used to analyze and calculate the environmental pressure data set to obtain: temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i .

[0117] Temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ) and water level risk index Swfx(t i ) is generated by the following formula:

[0118]

[0119] In the formula, T(t i ) represents the tth i The temperature and pressure state of the environment where the power socket box is located at a certain time point; T w (t i ) indicates that at the tth i Time point, measure the Dth x External dew point temperature; T n (ti ) indicates that at the tth i Time point, measure the Dth x Internal dew point temperature;

[0120]

[0121] ywnd(t i ) indicates that at time t i The salt spray concentration value, ywcj(t i ) indicates that at time t i The salt spray deposition rate, cc represents the actual internal space volume value of the power socket box, and B represents the first correction constant coefficient;

[0122]

[0123] n1(t i ) indicates that at time t i PM2.5 air particle concentration value, n2(t i ) indicates that at time t i PM10 air particle concentration value, CCSl (t i ) represents the particle deposition rate, cc represents the actual internal space volume value of the power socket box, and C represents the second correction constant coefficient;

[0124]

[0125] I surge (t i ) indicates that at time t i Surge current, t surge (t i ) indicates that at time t i The duration of the surge;

[0126] e amp Indicates lightning intensity, e freq Indicates the frequency of lightning;

[0127] Swfx(t i )=h(t i )+k*Δh(t i );

[0128] k represents the risk adjustment factor of the current water level change rate for the power socket box flooding, h(t i ) means at time (t i )’s current water level, Δh(t i ) means at time (t i )’s water level change rate;

[0129] At each moment t i, collect the frequency of small animals or insects F b (t i ), and at each moment, record the number of small animals or insects N b (t i ) and the average volume V b (t i ), the biological invasion index B is generated by the following formula i :

[0130] B i =F b (t i )*N b (t i )*V b (t i ).

[0131] In this embodiment, the environmental pressure model building unit uses a machine learning model to analyze the environmental pressure data, and establishes and optimizes the environmental pressure analysis model by collecting and training historical data. The verified model can accurately predict the impact of environmental pressure on equipment abnormalities and provide a scientific basis for the safe operation of the equipment. The trained environmental pressure analysis model is used to analyze and calculate the real-time environmental pressure data set to obtain the temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i The system can use these indicators to accurately assess the environmental status of the power socket box, identify potential risks in a timely manner, and improve the effectiveness of preventive maintenance.

[0132] Example 7, this example is explained in Example 6, please refer to Figure 1 ,Specifically, the response module includes a first evaluation unit, a second evaluation unit, a third evaluation unit, a fourth evaluation unit, a fifth evaluation unit and a sixth evaluation unit;

[0133] The first evaluation unit is used to convert the temperature pressure vector T(t i ) is compared with the first temperature threshold value X1 and the second temperature threshold value X2 to obtain a first evaluation result, including: the temperature pressure vector T(t i )>first temperature threshold value X1, indicating that the dew point temperature inside and outside the power socket box is abnormally overheated, and a first alarm instruction is generated; second temperature threshold value X2≤temperature pressure vector T(t i )≤ the first temperature threshold value X1, indicating that the temperature pressure vector of the power socket box is normal; when the temperature pressure vector T(ti )<second temperature threshold value X2, indicating that the internal and external dew points are abnormal, there is a risk of condensation water, and a second alarm instruction is generated;

[0134] The second evaluation unit is used to calculate the salt spray corrosion index Ywf(t i ) is compared with the second corrosion threshold F2 to obtain a second evaluation result, including: when the salt spray corrosion index Ywf(t i )>the second corrosion threshold F2, indicating that the salt spray corrosion level is unqualified and there is a risk of equipment damage, and a third alarm instruction is generated; when the salt spray corrosion index Ywf(t i )≤the second corrosion threshold F2, indicating that salt spray corrosion is normal and there is no risk of equipment damage;

[0135] The third evaluation unit is used to calculate the pollution clogging index Nr(t i ) is compared with the third pollution blocking threshold value X3 to obtain a third evaluation result, including: when the pollution blocking index Nr(t i )>the third pollution blockage threshold value X3, indicating that the pollution blockage degree is unqualified and there is a risk of equipment damage, and a fourth alarm instruction is generated; when the pollution blockage index Nr(t i )≤the third pollution blockage threshold value X3, indicating that the pollution blockage degree is qualified and there is no risk of equipment damage;

[0136] The fourth evaluation unit is used to calculate the surge transient index Dyst(t i ) is compared with the fourth risk threshold value X4 to obtain a fourth evaluation result, including: when the surge transient index Dyst(t i )>the fourth risk threshold value X4, indicating that there is a risk of lightning strike, and generating a fifth alarm instruction; when the surge transient index Dyst(t i )≤the fourth risk threshold X4, indicating no lightning strike risk;

[0137] The fifth evaluation unit is used to convert the water level risk index Swfx(t i ) is compared with the fifth risk threshold value X5 to obtain the fifth assessment result, including: when the water level risk index Swfx(t i )>the fifth risk threshold value X5, indicating that there is a risk of flooding and waterlogging, and the sixth alarm instruction is generated; when the water level risk index Swfx(t i )≤the fifth risk threshold X5, indicating no flood disaster risk;

[0138] The sixth evaluation unit is used to calculate the biological invasion index B i Compared with the sixth risk threshold X6, the sixth assessment result is obtained, including: when the biological invasion index B i > the sixth risk threshold X6, indicating that there is a risk of biological invasion and equipment damage, and the seventh alarm instruction is generated; when the biological invasion index Bi ≤ the sixth risk threshold X6, indicating no risk of biological invasion.

[0139] In this embodiment, the system can monitor and dynamically analyze environmental parameters in real time, respond to environmental changes in a timely manner, and adjust the operating status and protection measures of the equipment. Ensure that the power socket box can maintain normal operation under various environmental conditions to ensure the power supply and safety of the hydropower station. The response module uses multiple evaluation units, each of which corresponds to a specific environmental pressure indicator, such as temperature, salt spray corrosion, pollution blockage, surge transient, water level, and biological invasion. This multi-dimensional evaluation method can comprehensively consider the impact of different environmental factors on the power socket box, and improve the accuracy and comprehensiveness of the evaluation. By comparing with the preset threshold, the evaluation unit can quickly determine whether the current environmental state is normal and generate corresponding alarm instructions. When the environmental pressure index exceeds the threshold range, the system can issue an alarm in time to remind relevant personnel to pay attention to possible risks and take corresponding countermeasures to effectively avoid equipment failures and safety accidents.

[0140] The response module generates corresponding alarm instructions according to different evaluation results, and can implement targeted control measures. For example, when an abnormal overheating occurs, the system will generate a corresponding alarm instruction to trigger the cooling equipment to start; when there is a risk of salt spray corrosion, the system will take anti-corrosion measures to protect the equipment from corrosion damage. By evaluating various environmental pressure indicators, the response module can fully grasp the risk status of the environment in which the power socket box is located and realize comprehensive risk management. Through timely warnings and controls, it can effectively respond to various possible environmental risks and ensure the safe operation of the equipment.

[0141] Example 8: This example is an explanation of Example 7. Please refer to Figure 1 Specifically, the control module includes a remote control unit; the remote control unit is used to generate a corresponding strategy according to the corresponding alarm instruction:

[0142] Generating a first strategy according to the first alarm instruction, starting a remotely controlled cooling device to cool the inside of the power socket box;

[0143] generating a second strategy according to the second alarm instruction, starting a remotely controlled dehumidification device to initially dehumidify the interior of the power socket box to prevent the formation of condensed water;

[0144] generating a third strategy according to the third alarm instruction, and starting the remotely controlled antiseptic equipment, including spraying an antiseptic or increasing ventilation;

[0145] generating a fourth strategy according to the fourth alarm instruction, starting a remotely controlled cleaning device, including a filter or an air purifier, to filter and clean blocked pollutants;

[0146] generating a fifth strategy according to the fifth alarm instruction, and starting the lightning protection equipment of the remote control system, including a lightning arrester and a surge protector;

[0147] generating a sixth strategy according to the sixth alarm instruction, starting the remotely controlled drainage equipment, including a water pump, to pump water, and turning off the power supply of the power socket box;

[0148] A seventh strategy is generated according to the seventh alarm instruction to start a remote-controlled driving device, including an ultrasonic driver and a motor device, for capturing and eliminating invading small animals.

[0149] In this embodiment, the control module adopts a remote control unit, which can generate corresponding control strategies according to different alarm instructions. This intelligent control method can realize remote monitoring and control of the power socket box, and improve the response speed and flexibility of the system. Each alarm instruction corresponds to a specific control strategy, which can accurately respond to different environmental pressure conditions. For example, in the case of abnormal overheating, the cooling device is started for cooling treatment; in the case of salt spray corrosion risk, the anti-corrosion device is started for anti-corrosion treatment. This precise response method can effectively protect the equipment from damage. The control strategy covers multiple aspects of protection measures, including cooling, dehumidification, anti-corrosion, cleaning, lightning protection, drainage and driving. Through comprehensive control, the environmental adaptability of the power socket box can be comprehensively improved, and various possible environmental risks can be effectively responded to. Using the remote control method, the power socket box can be remotely controlled through the network without manual on-site operation, saving manpower and time costs, and improving operation and maintenance efficiency. In the event of an emergency or alarm, the remote control unit can respond quickly and take corresponding measures to respond to emergencies in a timely manner, reduce accident risks, and ensure the safe operation of the power socket box.

[0150] Embodiment 9, a remote maintenance system for power socket boxes in a hydropower plant with adaptive environmental risks, including a control effect evaluation module and a calibration module;

[0151] The control effect evaluation module is used to collect the number of failures gzcs of the power socket box after the first strategy, the second strategy, the third strategy, the fourth strategy, the fifth strategy, the sixth strategy and the seventh strategy are implemented;

[0152] And collect the number of historical fault occurrences lscs;

[0153] Calculate and obtain the difference between the number of faults that occurred after regulation within the M period gzcs and the number of historical faults that occurred lscs, and obtain the first fault number difference E, E = lscs-gzcs;

[0154] When the first fault number difference E>control threshold Z, it means that the number of faults after control is significantly reduced and the control effect is qualified; when the first fault number difference E≤control threshold Z, it means that the number of faults after control is abnormal and the control effect is unqualified.

[0155] The calibration module is used to lower the preset first temperature threshold X1, second temperature threshold X2, second corrosion threshold F2, third pollution and blockage threshold X3, fourth risk threshold X4, fifth risk threshold X5 and sixth risk threshold X6 by 10% when the evaluation of the control effect is unsatisfactory, so as to increase the sensitivity of the system to the threshold changes and fault responses after the reduction.

[0156] In this embodiment, the control effect evaluation module can monitor the execution of the control strategy in real time, and quickly evaluate the control effect by comparing the number of faults before and after the control. This real-time evaluation can timely find out whether the control effect meets expectations, and provide timely reference for subsequent adjustment and optimization. According to the comparison result of the first fault number difference E and the control threshold Z, the system can automatically judge the qualification of the control effect. This automatic judgment function reduces the burden of manual intervention and improves the automation and reliability of the system. When the control effect is unqualified, the system can issue an early warning in time to prompt the operation and maintenance personnel to adjust the strategy or take other countermeasures to prevent the fault from further deteriorating. This fault early warning mechanism helps to respond to potential safety risks in a timely manner and ensure the stable operation of the power socket box. The calibration module can automatically adjust the threshold of the system when the control effect is unqualified, and improve the sensitivity of the system to environmental changes and fault responses. Through adaptive calibration, the system can adapt to different working environments and operating states more flexibly, further improving the stability and reliability of the system. Real-time evaluation of control effects and automatic calibration functions can reduce the workload and maintenance costs of maintenance personnel. The system can detect and handle problems in a timely manner, reduce human errors and missed detections during maintenance, and improve maintenance efficiency and accuracy.

[0157] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0158] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above are only preferred specific implementations of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. Adaptive environmental risk hydropower plant power socket box remote control opening system, characterized by: It includes a three-dimensional modeling module, a first environment monitoring module, a second self-diagnosis module, a data analysis module, a response module and a control module; The three-dimensional modeling module is used to establish a three-dimensional electrical model of the hydropower plant, and the power socket boxes in the hydropower plant are arranged according to D1, D2, D3, ..., D n , n represents the number of power socket boxes, which are first marked in the three-dimensional electrical model of the hydropower plant and divided into several areas; The first environmental monitoring module is used to install sensor sets in several areas to monitor the internal and external environmental data of the power socket box in real time, wherein the internal and external environmental data include temperature and humidity information, air salt spray concentration information, dust pollutant concentration information, lightning activity and surge information, hydropower plant water level change information, and biological monitoring intrusion information, and to construct an environmental pressure data set; The second self-diagnosis module is used to monitor the input and output voltage and current of the power socket box, and through the pattern recognition algorithm, when the input and output voltage and current exceed the threshold range, a self-diagnosis test is performed to obtain the input and output voltage and current abnormal data, and obtain the second abnormal data; The data analysis module is used to associate the environmental pressure data set with the second abnormal data, establish an environmental pressure analysis model, analyze and calculate the environmental pressure data set, and obtain: the temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i ; The response module is used to respond to the temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i Evaluate each of them, obtain corresponding evaluation results, and generate corresponding control strategies according to the corresponding evaluation results by the control module; The first environment monitoring module includes a temperature and humidity monitoring submodule, a salt spray monitoring submodule, a dust and pollutant monitoring submodule, a lightning and surge monitoring submodule and a water level monitoring submodule; The temperature and humidity monitoring submodule is used to install temperature and humidity sensors inside and outside the power socket box, respectively, to measure and obtain: the external air temperature wwd, the internal air temperature nwd, the external humidity value wsd and the internal humidity value nsd; and calculate the external dew point temperature T by the external air temperature wwd and the external humidity value wsd through the following formula w (t i ): The internal dew point temperature T is calculated by the internal air temperature nwd and the internal humidity value nsd n (t i ): The salt spray monitoring submodule is used to install a salt spray concentration sensor and a deposition rate sampler inside and outside the power socket box to collect and obtain the salt spray concentration value ywnd and the salt spray deposition rate ywcj; The dust and pollutant monitoring submodule is used to install a dust particle concentration sensor inside the power socket box to collect and obtain the PM2.5 air particle concentration value n1 and the PM10 air particle concentration value n2; The lightning and surge monitoring submodule is used to install surge sensors and electric field detectors inside the power socket box to monitor and obtain the lightning intensity e amp 、Lightning frequency freq , the timestamp of lightning occurrence, surge current I surge and surge duration t surge ; The water level monitoring submodule is used to install a water level sensor in a reservoir or dam body connected to a hydropower plant to collect and obtain the water level h.

2. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 1 is characterized by: The three-dimensional modeling module includes a spatial data acquisition unit; The spatial data acquisition unit is used to use a laser scanner to scan and collect data on equipment and building structures in the hydropower plant, and import the scanned point cloud data into three-dimensional modeling software to generate a three-dimensional electrical model of the hydropower plant; and in the three-dimensional electrical model of the hydropower plant, a plurality of power socket boxes are divided into a plurality of electrical areas for management, and current sensors and voltage sensors are installed in the power socket boxes to monitor and record the current data and voltage data of each power socket box in real time.

3. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 2 is characterized by: The first environmental monitoring module also includes a biological invasion monitoring submodule; The biological invasion monitoring submodule is used to form a network covering the monitoring area around the power socket box, install infrared sensors and cameras, and identify and record the frequency of biological appearance by monitoring the infrared radiation emitted by the biological body. b and the number of organisms N b , extract the biological volume features from the video frames captured by the camera and the scanning data of the infrared sensor, calculate the volume of each organism through image processing algorithms and volume estimation methods, and then obtain the average volume V b .

4. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 1 is characterized by: The second self-diagnosis module includes a voltage and current data acquisition unit and a pattern recognition unit; The voltage and current data acquisition unit is used to install a voltage sensor and a current sensor in the power socket box to collect the input voltage V in , output voltage V out 、Input current I in and the output voltage I out , establish the original data set, and filter, remove noise and standardize the original data set; The mode recognition unit is used to set the threshold range of input and output voltage and current according to the normal working range of the device, including: input voltage threshold range: V in,min ≤V in ≤V in,max ; Output voltage threshold range: V out,min ≤V out ≤V out,max ; Input current threshold range: I in,min ≤I in ≤I in,max ; Output current threshold range: I out,min ≤I out ≤I out,max ; If the monitored input voltage V in , output voltage V out 、Input current I in and the output voltage I out If it exceeds the set threshold range, it is considered abnormal; And establish the second abnormal data, and use pattern recognition algorithms, including support vector machine SVM, random forest or neural network, to classify the second abnormal data. in , output voltage V out 、Input current I in and the output voltage I out Input voltage V in , output voltage V out 、Input current I in and the output voltage I out When the set threshold range is exceeded, the self-diagnosis abnormal test feedback is triggered.

5. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 1 is characterized by: The data analysis module includes a data preprocessing unit and an environmental pressure model building unit; The data preprocessing unit is used to perform data cleaning and normalization processing on the environmental pressure data set; The environmental pressure model building unit is used to use a machine learning model to build an environmental pressure analysis model, collect historical data to train the model, predict the impact of environmental pressure on equipment abnormalities, and use the validation set to verify the model. Then, the trained environmental pressure analysis model is used to analyze and calculate the environmental pressure data set to obtain: temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ), water level risk index Swfx(t i ) and biological invasion index B i .

6. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 5 is characterized by: The temperature pressure vector T(t i ), salt spray corrosion index Ywf(t i ), pollution blocking index Nr(t i ), surge transient index Dyst(t i ) and water level risk index Swfx(t i ) is generated by the following formula: In the formula, T(t i ) represents the tth i The temperature and pressure state of the environment where the power socket box is located at a certain time point; T w (t i ) indicates that at the tth i Time point, measure the Dth x External dew point temperature; T n (t i ) indicates that at the tth i Time point, measure the Dth x Internal dew point temperature; ywnd(t i ) indicates that at time t i The salt spray concentration value, ywcj(t i ) indicates that at time t i The salt spray deposition rate, cc represents the actual internal space volume value of the power socket box, and B represents the first correction constant coefficient; n1(t i ) indicates that at time t i PM2.5 air particle concentration value, n2(t i ) indicates that at time t i PM10 air particle concentration value, CCSl (t i ) represents the particle deposition rate, cc represents the actual internal space volume value of the power socket box, and C represents the second correction constant coefficient; I surge (t i ) indicates that at time t i Surge current, t surge (t i ) indicates that at time t i The duration of the surge; e amp Indicates lightning intensity, e freq Indicates the frequency of lightning; Swfx(t i )=h(t i )+k*Δh(t i ); k represents the risk adjustment factor of the current water level change rate for the power socket box flooding, h(t i ) means at time (t i )’s current water level, Δh(t i ) means at time (t i )’s water level change rate; At each moment t i , collect the frequency of small animals or insects F b (t i ), and at each moment, record the number of small animals or insects N b (t i ) and the average volume V b (t i ), the biological invasion index B is generated by the following formula i : B i =F b (t i )*N b (t i )*V b (t i )。 7. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 6 is characterized by: The response module includes a first evaluation unit, a second evaluation unit, a third evaluation unit, a fourth evaluation unit, a fifth evaluation unit and a sixth evaluation unit; The first evaluation unit is used to convert the temperature pressure vector T(t i ) is compared with the first temperature threshold value X1 and the second temperature threshold value X2 to obtain a first evaluation result, including: the temperature pressure vector T(t i )>first temperature threshold value X1, indicating that the dew point temperature inside and outside the power socket box is abnormally overheated, and a first alarm instruction is generated; second temperature threshold value X2≤temperature pressure vector T(t i )≤ the first temperature threshold value X1, indicating that the temperature pressure vector of the power socket box is normal; when the temperature pressure vector T(t i )<second temperature threshold value X2, indicating that the internal and external dew points are abnormal, there is a risk of condensation water, and a second alarm instruction is generated; The second evaluation unit is used to calculate the salt spray corrosion index Ywf(t i ) is compared with the second corrosion threshold F2 to obtain a second evaluation result, including: when the salt spray corrosion index Ywf(t i )>the second corrosion threshold F2, indicating that the salt spray corrosion level is unqualified and there is a risk of equipment damage, and a third alarm instruction is generated; when the salt spray corrosion index Ywf(t i )≤the second corrosion threshold F2, indicating that salt spray corrosion is normal and there is no risk of equipment damage; The third evaluation unit is used to calculate the pollution blockage index Nr(t i ) is compared with the third pollution blocking threshold value X3 to obtain a third evaluation result, including: when the pollution blocking index Nr(t i )>the third pollution blockage threshold value X3, indicating that the pollution blockage degree is unqualified and there is a risk of equipment damage, and a fourth alarm instruction is generated; when the pollution blockage index Nr(t i )≤the third pollution blockage threshold value X3, indicating that the pollution blockage degree is qualified and there is no risk of equipment damage; The fourth evaluation unit is used to calculate the surge transient index Dyst(t i ) is compared with the fourth risk threshold value X4 to obtain a fourth evaluation result, including: when the surge transient index Dyst(t i )>the fourth risk threshold value X4, indicating that there is a risk of lightning strike, and generating a fifth alarm instruction; when the surge transient index Dyst(t i )≤the fourth risk threshold X4, indicating no lightning strike risk; The fifth evaluation unit is used to calculate the water level risk index Swfx(t i ) is compared with the fifth risk threshold value X5 to obtain the fifth assessment result, including: when the water level risk index Swfx(t i )>the fifth risk threshold value X5, indicating that there is a risk of flooding and waterlogging, and the sixth alarm instruction is generated; when the water level risk index Swfx(t i )≤the fifth risk threshold X5, indicating no flood disaster risk; The sixth evaluation unit is used to calculate the biological invasion index B i Compared with the sixth risk threshold X6, the sixth assessment result is obtained, including: when the biological invasion index B i > the sixth risk threshold X6, indicating that there is a risk of biological invasion and equipment damage, and the seventh alarm instruction is generated; when the biological invasion index B i ≤ the sixth risk threshold X6, indicating no risk of biological invasion.

8. The adaptive environmental risk hydropower plant power socket box remote control opening system according to claim 1 is characterized by: The control module includes a remote control unit; the remote control unit is used to generate a corresponding strategy according to the corresponding alarm instruction: Generating a first strategy according to the first alarm instruction, starting a remotely controlled cooling device to cool the inside of the power socket box; generating a second strategy according to the second alarm instruction, starting a remotely controlled dehumidification device to initially dehumidify the interior of the power socket box to prevent the formation of condensed water; generating a third strategy according to the third alarm instruction, and starting the remotely controlled antiseptic equipment, including spraying an antiseptic or increasing ventilation; generating a fourth strategy according to the fourth alarm instruction, starting a remotely controlled cleaning device, including a filter or an air purifier, to filter and clean blocked pollutants; generating a fifth strategy according to the fifth alarm instruction, and starting the lightning protection equipment of the remote control system, including a lightning arrester and a surge protector; generating a sixth strategy according to the sixth alarm instruction, starting the remotely controlled drainage equipment, including a water pump, to pump water, and turning off the power supply of the power socket box; A seventh strategy is generated according to the seventh alarm instruction to start a remote-controlled driving device, including an ultrasonic driver and a motor device, for capturing and eliminating invading small animals.

9. An adaptive environmental risk hydropower plant power socket box remote maintenance system, applied to the adaptive environmental risk hydropower plant power socket box remote control opening system according to any one of claims 1 to 8, characterized in that: Including the control effect evaluation module; The control effect evaluation module is used to collect the number of faults gzcs of the power socket box after the control after the first strategy, the second strategy, the third strategy, the fourth strategy, the fifth strategy, the sixth strategy and the seventh strategy are implemented; And collect the number of historical fault occurrences lscs; Calculate and obtain the difference between the number of faults that occurred after regulation within the M period gzcs and the number of historical faults that occurred lscs, and obtain the first fault number difference E, E = lscs-gzcs; When the first fault number difference E>control threshold Z, it means that the number of faults after control is significantly reduced and the control effect is qualified; when the first fault number difference E≤control threshold Z, it means that the number of faults after control is abnormal and the control effect is unqualified.

10. The adaptive environmental risk hydropower plant power socket box remote maintenance system according to claim 9 is characterized by: It also includes a calibration module, which is used to lower the preset first temperature threshold X1, second temperature threshold X2, second corrosion threshold F2, third pollution and blockage threshold X3, fourth risk threshold X4, fifth risk threshold X5 and sixth risk threshold X6 by 10% when the regulation effect is evaluated to be unqualified, so as to increase the sensitivity of the system to the threshold changes and fault responses after the reduction.

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