Safety intelligent monitoring method and device for power converter station

Abstract

The invention discloses a safety intelligent monitoring method and device for a power converter station, and particularly relates to the technical field of converter station safety monitoring, and the method comprises the steps: obtaining electromagnetic interference data during the working period of a target sensor, and carrying out the matching of the electromagnetic interference data with historical electromagnetic interference data, thereby obtaining an initial adjustment scheme; adjusting a current output result of the target sensor according to the initial adjustment scheme to obtain an initial adjustment result, then obtaining a self-aging coefficient of the target sensor, and obtaining a final output result according to the electromagnetic interference data, the self-aging coefficient and the initial adjustment result. And outputting a final output result of each sensor as a real environmental parameter of the power converter station, so that parameters which are output by the sensors and are about the environmental safety of the power converter station can be adjusted according to specific electromagnetic interference; the finally output parameters related to the environmental safety of the converter station can effectively reflect the real environmental state of the power converter station, and the environmental safety of the power converter station can be accurately monitored.

Description

Technical Field

[0001] The present invention relates to the technical field of converter station safety monitoring, and in particular to a method and device for intelligent safety monitoring of a power converter station. Background Art

[0002] The power converter station is a key facility in the power system used to convert AC to DC or DC to AC. It plays an important role in the high-voltage DC transmission system, allowing electric energy to be efficiently transmitted between different power networks. Therefore, in order to ensure the safe operation of the power converter station, it is necessary to monitor the safety of the power converter station in real time. Once a problem is found in the converter station, it is necessary to promptly remind the staff to take corresponding maintenance measures to maintain the operation of the power converter station.

[0003] When monitoring the safety of power converter stations, especially when monitoring the environmental safety of power converter stations, existing solutions often collect specific environmental parameters of different equipment in the power converter stations through sensors and analyze them to determine whether there are any problems with the environmental safety of the power converter stations.

[0004] However, since the power converter station is in an electromagnetic interference environment all year round, and electromagnetic interference will affect the output results of the sensor, if the parameters about the environmental safety of the power converter station output by the sensor are directly used to analyze whether there are safety problems with the power converter station, it may result in the output parameters about the environmental safety of the converter station failing to effectively reflect the actual environmental status of the power converter station, and failing to accurately monitor the environmental safety of the power converter station. Summary of the invention

[0005] The purpose of the present invention is to solve the problem that the environmental safety of a power converter station cannot be accurately monitored, and to propose a method and device for intelligent safety monitoring of a power converter station.

[0006] In the first aspect of the implementation of the present invention, a method for intelligent safety monitoring of a power converter station is first proposed, wherein the power converter station deploys a plurality of different types of sensors, the sensors are used to collect parameters related to the environmental safety of the power converter station, and the target sensor is any one of the plurality of sensors, wherein:

[0007] Receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, and matching the electromagnetic interference data with historical electromagnetic interference data to obtain an initial adjustment scheme, and adjusting the result currently output by the target sensor according to the initial adjustment scheme to obtain an initial adjustment result;

[0008] Acquire self-aging data of the target sensor, obtain a self-aging coefficient according to the self-aging data, and obtain an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient; the self-aging data includes at least one of a sensor usage time index, a sensor delay index, and a sensor fault index;

[0009] The final output result of the target sensor is obtained according to the actual aging coefficient and the initial adjustment result, and the final output result of each type of sensor is output as the real environmental parameter of the power converter station, and the safety of the power converter station is monitored according to the real environmental parameters of the power converter station.

[0010] Optionally, receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, and matching the electromagnetic interference data with historical electromagnetic interference data to obtain an initial adjustment scheme, adjusting the result currently output by the target sensor according to the initial adjustment scheme, and obtaining the initial adjustment result includes:

[0011] Acquire the time period during which the target sensor works, and within the time period, acquire the electromagnetic interference intensity value based on the time series to obtain the electromagnetic interference intensity value sequence;

[0012] Mapping the values ​​and time periods in the electromagnetic interference intensity value sequence to two-dimensional coordinates to obtain an electromagnetic interference intensity value-time period curve, and matching the curve with a historical curve set to obtain an initial adjustment plan;

[0013] Substitute the current output result of the target sensor into the initial adjustment scheme to obtain an initial adjustment result.

[0014] Optionally, mapping the values ​​and time periods in the electromagnetic interference intensity value sequence to two-dimensional coordinates to obtain an electromagnetic interference intensity value-time period curve, and matching the curve with a historical curve set to obtain an initial adjustment solution includes:

[0015] Calculate the average value of the electromagnetic interference intensity value corresponding to the electromagnetic interference intensity value-time period curve to obtain an actual average value, and determine a first average value threshold range and a first period range according to the actual average value and the time period, and the actual average value is within the first average value threshold range, and the time period is within the first period range;

[0016] According to the first average value threshold range and the first period range, the curves in the historical curve set that are within the first average value threshold range and the first period range are screened out to obtain a first curve set;

[0017] An initial adjustment scheme is obtained according to the first curve set and the electromagnetic interference intensity value-time period curve.

[0018] Optionally, obtaining an initial adjustment solution according to the first curve set and the electromagnetic interference intensity value-time period curve includes:

[0019] Extracting an average value of transient electromagnetic interference intensity values ​​and the number of transient electromagnetic interference intensity values ​​in the electromagnetic interference intensity value-time period curve, and obtaining a second average value threshold range according to the average value of the transient electromagnetic interference intensity value;

[0020] Filter out the curves in the first curve set that are within the second average value threshold range and have the same number of transient electromagnetic interference intensity values ​​to obtain a second curve set;

[0021] The transient electromagnetic interference intensity values ​​in the electromagnetic interference intensity value-time period curve are removed, and the remaining curves are fitted to obtain the actual fitting curve; the transient electromagnetic interference intensity values ​​in the second curve set are removed, and the remaining curves are fitted to obtain the third curve set;

[0022] The actual fitting curve is overlapped with the curve in the third curve set, and the preset adjustment scheme corresponding to the curve with the highest overlap is selected as the initial adjustment scheme.

[0023] Optionally, acquiring self-aging data of the target sensor, obtaining a self-aging coefficient according to the self-aging data, and obtaining an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient includes:

[0024] Acquire the actual usage time of the target sensor, and calculate the ratio of the actual usage time to the preset usable time to obtain a sensor usage time index;

[0025] Obtain the specific time of each output result of the target sensor within the working time period to obtain an output result sequence, and calculate the difference between every two data in the output result sequence to obtain an interval time difference sequence;

[0026] Calculating the difference between each data in the interval time difference sequence and the preset interval time, and adding all the calculated differences to obtain a sensor delay index;

[0027] Obtain the number of failures of the target sensor within the working time period and the time from the first failure to the last maintenance, and perform weighted summation of the number of failures and the time from the first failure to the last maintenance to obtain the sensor failure index;

[0028] The sensor usage time index, sensor delay index and sensor fault index are weighted and summed to obtain the self-aging coefficient;

[0029] An actual aging coefficient is obtained according to the electromagnetic interference data and the self aging coefficient.

[0030] Optionally, obtaining the actual aging coefficient according to the electromagnetic interference data and the self aging coefficient includes:

[0031] The actual aging coefficient is obtained according to the working time period of the target sensor in the electromagnetic interference data and the electromagnetic interference intensity value sequence based on the time series within the time period combined with the self aging coefficient;

[0032] The specific formula for the actual aging coefficient is:

[0033]

[0034] Where Dk is the actual aging coefficient, a0 is the self-aging coefficient, G i is the uth electromagnetic interference intensity value in the electromagnetic interference intensity value sequence, d is the number of data in the electromagnetic interference intensity value sequence, and Δt is the collection time interval between every two adjacent data in the electromagnetic interference intensity value sequence, and is a fixed value.

[0035] Optionally, obtaining a final output result of the target sensor according to the actual aging coefficient and the initial adjustment result includes:

[0036] The influence weight of the preset aging coefficient of the target sensor on the output result is obtained, and the final output result is obtained by combining the actual aging coefficient and the initial adjustment result. The specific formula is:

[0037] WSE=ε×Dk×Buiya cg

[0038] Where WSE is the final output result, ε is the influence weight of the preset aging coefficient corresponding to the target sensor with different functions on the output result, Dk is the actual aging coefficient, Buiya cg Initial adjustment result

[0039] In a second aspect of the present invention, a safety intelligent monitoring device for a power converter station is provided, the device comprising:

[0040] Initial adjustment module: receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, matching the electromagnetic interference data with historical electromagnetic interference data, obtaining an initial adjustment scheme, adjusting the result currently output by the target sensor according to the initial adjustment scheme, and obtaining an initial adjustment result;

[0041] Actual aging module: acquiring self-aging data of the target sensor, obtaining a self-aging coefficient according to the self-aging data, and obtaining an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient; the self-aging data includes at least one of a sensor usage time index, a sensor delay index, and a sensor fault index;

[0042] Safety monitoring module: obtain the final output result of the target sensor according to the actual aging coefficient and the initial adjustment result, and output the final output result of each type of sensor as the real environmental parameter of the power converter station, and monitor whether the power converter station is safe according to the real environmental parameters of the power converter station.

[0043] Beneficial effects of the present invention:

[0044] The present invention proposes a method and device for intelligent safety monitoring of an electric power converter station, which can adjust the parameters collected and output by the sensor regarding the environmental safety of the electric power converter station according to the specific electromagnetic interference, so that the parameters regarding the environmental safety of the converter station finally output can effectively reflect the real environmental status of the electric power converter station, and can accurately monitor the environmental safety of the electric power converter station. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The present invention will be further described below in conjunction with the accompanying drawings.

[0046] Figure 1 A flow chart of a method for safe and intelligent monitoring of a power converter station provided by an embodiment of the present invention;

[0047] Figure 2 A framework diagram of a power converter station safety intelligent monitoring device provided in an embodiment of the present invention. Specific implementation plan

[0048] 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.

[0049] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0050] The embodiment of the present invention provides a method for intelligent safety monitoring of a power converter station. Figure 1 , Figure 1 A flowchart of a power converter station safety intelligent monitoring method provided by an embodiment of the present invention. The power converter station deploys multiple sensors of different types, and the sensors are used to collect parameters related to the environmental safety of the power converter station. The target sensor is any one of the sensors, wherein:

[0051] Receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, and matching the electromagnetic interference data with historical electromagnetic interference data to obtain an initial adjustment scheme, and adjusting the result currently output by the target sensor according to the initial adjustment scheme to obtain an initial adjustment result;

[0052] Acquire self-aging data of the target sensor, obtain a self-aging coefficient according to the self-aging data, and obtain an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient;

[0053] The final output result of the target sensor is obtained according to the actual aging coefficient and the initial adjustment result, and the final output result of each type of sensor is output as the real environmental parameter of the power converter station, and the safety of the power converter station is monitored according to the real environmental parameters of the power converter station.

[0054] Based on an intelligent monitoring method for the safety of a power converter station provided in an embodiment of the present invention, through the above-mentioned method, the parameters collected and output by the sensor regarding the environmental safety of the power converter station can be adjusted according to the specific electromagnetic interference, so that the parameters finally output regarding the environmental safety of the power converter station can effectively reflect the real environmental status of the power converter station, and the environmental safety of the power converter station can be accurately monitored.

[0055] It should be noted that multiple different types of sensors are various types of sensors corresponding to different parameters involved in the environmental safety of the power converter station, such as gas sensors, smoke sensors, temperature sensors, temperature sensors and vibration sensors. Among them, the gas sensor is used to monitor the concentration of harmful gases such as SF6 and CO in the power converter station to prevent gas leakage; the smoke sensor is used to detect the smoke concentration in the power converter station and warn of fire; the temperature sensor is used to monitor the temperature inside the power converter station and key equipment to prevent overheating; the humidity sensor is used to monitor the humidity level in the power converter station to prevent excessive or low humidity from affecting the operation of the equipment; the vibration sensor is used to detect earthquakes or equipment vibrations to prevent vibration from causing damage to the equipment; in addition, there are other different types of sensors corresponding to other environmental safety-related indicators in the power converter station, which will not be repeated here;

[0056] The method of monitoring whether the power converter station is safe according to the real environmental parameters of the power converter station is that after outputting a variety of real environmental parameters about the power converter station, the different types of real environmental parameters are compared with their respective pre-set safety thresholds. Once a certain real environmental parameter is greater than the pre-set safety threshold, it means that there is a problem with the environmental safety of the power converter station. At this time, an alarm is directly issued to remind the staff that there is a problem with the environmental safety of the monitored power converter station and corresponding measures need to be taken in time.

[0057] In one embodiment, electromagnetic interference data around a target sensor is acquired in real time, and the electromagnetic interference data is matched with historical electromagnetic interference data to obtain an initial adjustment scheme, and an initial adjustment result is obtained according to the initial adjustment scheme and the result output by the current sensor, including:

[0058] Obtaining a time period during which the target sensor works, and obtaining an electromagnetic interference intensity value based on a time series within the time period to obtain an electromagnetic interference intensity value sequence;

[0059] Mapping the values ​​and time periods in the electromagnetic interference intensity value sequence to two-dimensional coordinates to obtain an electromagnetic interference intensity value-time period curve, and matching the curve with the historical curve set to obtain an initial adjustment plan;

[0060] Substitute the result output by the current sensor into the initial adjustment scheme to obtain the initial adjustment result.

[0061] In one implementation method, the historical curve set is used to adjust the output mode of the sensor according to the corresponding situations stored according to the historical electromagnetic interference conditions; by matching with the historical curve set, the most similar electromagnetic interference pattern can be found, thereby generating a more accurate initial adjustment plan, reducing the impact of electromagnetic interference on the sensor output, while reducing the calculation burden and saving resources.

[0062] It should be noted that the electromagnetic interference intensity value can be measured using an electromagnetic field detector or a magnetic field detector, and the specific measurement method will not be described in detail.

[0063] In one embodiment, the values ​​and time periods in the electromagnetic interference intensity value sequence are mapped to two-dimensional coordinates to obtain an electromagnetic interference intensity value-time period curve, and the curve is matched with a historical curve set to obtain an initial adjustment scheme including:

[0064] Calculate the average value of the electromagnetic interference intensity value corresponding to the electromagnetic interference intensity value-time period curve to obtain an actual average value, and determine a first average value threshold range and a first period range according to the actual average value and the time period, and the actual average value is within the first average value threshold range, and the time period is within the first period range;

[0065] According to the first average value threshold range and the first period range, the curves in the historical curve set that are within the first average value threshold range and the first period range are screened out to obtain a first curve set;

[0066] An initial adjustment scheme is obtained according to the first curve set and the electromagnetic interference intensity value-time period curve.

[0067] In one implementation method, the first average value threshold range and the first period range are determined based on the average value and time period of the electromagnetic interference intensity value corresponding to the electromagnetic interference intensity value-time period curve. The specific first average value threshold range and the first period range are set by professional technicians according to the actual situation, and are not limited or elaborated on. The first curve set filtered out according to the first average value threshold range and the first period range greatly narrows the search range in the historical curves. While processing faster and more efficiently, the historical curves in the filtered first curve set have higher similarity and correlation, and are more in line with the characteristics of the current electromagnetic interference situation.

[0068] In one embodiment, obtaining an initial adjustment solution according to the first curve set and the electromagnetic interference intensity value-time period curve includes:

[0069] Extracting an average value of transient electromagnetic interference intensity values ​​and the number of transient electromagnetic interference intensity values ​​in the electromagnetic interference intensity value-time period curve, and obtaining a second average value threshold range according to the average value of the transient electromagnetic interference intensity value;

[0070] Filter out the curves in the first curve set that are within the second average value threshold range and have the same number of transient electromagnetic interference intensity values ​​to obtain a second curve set;

[0071] The transient electromagnetic interference intensity values ​​in the electromagnetic interference intensity value-time period curve are removed, and the remaining curves are fitted to obtain the actual fitting curve; the transient electromagnetic interference intensity values ​​in the second curve set are removed, and the remaining curves are fitted to obtain the third curve set;

[0072] The actual fitting curve is overlapped with the curve in the third curve set, and the preset adjustment scheme corresponding to the curve with the highest overlap is selected as the initial adjustment scheme.

[0073] In one implementation, the transient electromagnetic interference intensity value refers to electromagnetic interference that is significantly higher than other electromagnetic interference intensity values. Generally speaking, the electromagnetic interference of the power converter station is in a relatively stable state. The transient high voltage and high current generated by the switch or other operations of the power converter station will cause electromagnetic interference pulses with short duration but high intensity. This transient interference can directly enter the sensor circuit through the coupling path, resulting in distortion of the transient output signal and data loss, especially for analog signal sensors. Therefore, a consistent curve is first screened out according to the average value of the transient electromagnetic interference intensity value and the number of transient electromagnetic interference intensity values ​​to obtain a second curve set. In this way, the screening range is further narrowed, making the subsequent curve fitting and adjustment scheme determination more accurate and efficient, while ensuring that transient interference is fully considered to reduce the negative impact on the sensor output; in addition, the second average value threshold range is set by professionals based on actual conditions and is not specifically limited.

[0074] In one implementation method, the transient electromagnetic interference intensity values ​​of the curves in the second curve set are eliminated, and then the remaining curves are fitted to obtain a third curve set, and the entire curve in the third curve set is overlapped with the actual fitting curve. The stored electromagnetic interference adjustment scheme corresponding to the curve with the largest overlap represents the highest consistency with the actual electromagnetic interference intensity. At this time, the adjustment scheme is directly used as the initial adjustment scheme. In this way, the screened initial adjustment scheme can more accurately adjust the current output result of the target sensor, making the adjustment result more accurate.

[0075] In one embodiment, obtaining the self-aging data of the target sensor, obtaining the self-aging coefficient, and obtaining the actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient include:

[0076] Obtaining the actual usage time of the target sensor, and calculating the ratio of the actual usage time to the preset usable time, to obtain the sensor usage time index;

[0077] Obtain the specific time of each output result of the target sensor within the working time period, obtain the output result sequence, calculate the difference between every two data in the output result sequence, and obtain the interval time difference sequence;

[0078] Calculate the difference between each data in the interval time difference sequence and the preset interval time, and add all the calculated differences to obtain the sensor delay index;

[0079] Obtain the number of failures of the target sensor within the working time period and the time from the first failure to the last maintenance, and perform weighted summation of the number of failures and the time from the first failure to the last maintenance to obtain the sensor failure index;

[0080] The sensor usage time index, sensor delay index and sensor fault index are weighted and summed to obtain the self-aging coefficient;

[0081] The actual aging coefficient is obtained based on the electromagnetic interference data and the self-aging coefficient.

[0082] In one implementation, the preset usable time refers to the expected life span of the sensor. The preset usable time corresponding to different types of sensors may not be the same, and it is determined according to the actual sensor type. The preset usable time can be determined from the production date of the sensor or by professionals, and there is no specific limitation. The specific time of each output result of the target sensor during the working time cycle, the number of target sensor failures, and the time from the first failure to the last maintenance can be directly obtained from the actual sensor work log or other methods, and there is no specific limitation;

[0083] In one implementation, the sensor usage time index, sensor delay index and sensor fault index calculated by the above method are more accurate, can more accurately reflect the aging degree of the sensor itself, and the data involved in the calculation are more convenient to obtain.

[0084] In one embodiment, obtaining the actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient includes:

[0085] The actual aging coefficient is obtained according to the working time period of the target sensor in the electromagnetic interference data and the electromagnetic interference intensity value sequence based on the time series within the time period combined with the own aging coefficient;

[0086] The specific formula for the actual aging coefficient is:

[0087]

[0088] Where Dk is the actual aging coefficient, a0 is the self-aging coefficient, G i is the uth electromagnetic interference intensity value in the electromagnetic interference intensity value sequence, d is the number of data in the electromagnetic interference intensity value sequence, and Δt is the collection time interval between every two adjacent data in the electromagnetic interference intensity value sequence, and is a fixed value.

[0089] In one implementation, the above method takes into account the working time of the sensor in a specific environment and the electromagnetic interference intensity it is subjected to, which more comprehensively reflects the aging degree of the sensor, making the final calculation result more accurate.

[0090] In one embodiment, obtaining a final output result according to the actual aging coefficient and the initial adjustment result, and outputting the final output result as the real environmental parameter of the power converter station includes:

[0091] Obtain the influence weight of the preset aging coefficient of the target sensor on the output result, and combine the actual aging coefficient and the initial adjustment result to obtain the final output result. The specific formula is:

[0092] WSE=ε×Dk×Buiya cg

[0093] Where WSE is the final output result, ε is the influence weight of the preset aging coefficient of the target sensor on the output result, Dk is the actual aging coefficient, Buiya cg This is the initial adjustment result.

[0094] In one implementation, the influence weight of the preset aging coefficient of the target sensor on the output result is determined by professionals according to the actual type of sensor, and the specifics are not limited or elaborated;

[0095] In one implementation, the final output result calculated by the above method is more accurate, can more accurately reflect the environmental safety of the power converter station, can effectively reflect the actual environmental status of the power converter station, and make subsequent environmental safety monitoring results of the power converter station more accurate.

[0096] Based on the same inventive concept, the embodiment of the present invention also provides a power converter station safety intelligent monitoring device. Figure 2 , Figure 2 A schematic diagram of a safety intelligent monitoring device for a power converter station provided by an embodiment of the present invention includes:

[0097] Initial adjustment module: receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, matching the electromagnetic interference data with historical electromagnetic interference data, obtaining an initial adjustment scheme, adjusting the result currently output by the target sensor according to the initial adjustment scheme, and obtaining an initial adjustment result;

[0098] Actual aging module: acquiring self-aging data of the target sensor, obtaining a self-aging coefficient according to the self-aging data, and obtaining an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient; the self-aging data includes at least one of a sensor usage time index, a sensor delay index, and a sensor fault index;

[0099] Safety monitoring module: obtain the final output result of the target sensor according to the actual aging coefficient and the initial adjustment result, and output the final output result of each type of sensor as the real environmental parameter of the power converter station, and monitor whether the power converter station is safe according to the real environmental parameters of the power converter station.

[0100] Based on an intelligent monitoring device for the safety of a power converter station provided in an embodiment of the present invention, the above-mentioned method can adjust the parameters collected and output by the sensor about the environmental safety of the power converter station according to the specific electromagnetic interference, so that the parameters finally output about the environmental safety of the power converter station can effectively reflect the real environmental status of the power converter station, and can accurately monitor the environmental safety of the power converter station.

[0101] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A safe and intelligent monitoring method for a power converter station, characterized in that: The power converter station deploys a plurality of different types of sensors, which are used to collect parameters related to the environmental safety of the power converter station. The target sensor is any one of the sensors, wherein: Receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, and matching the electromagnetic interference data with historical electromagnetic interference data to obtain an initial adjustment scheme, and adjusting the result currently output by the target sensor according to the initial adjustment scheme to obtain an initial adjustment result; Acquire self-aging data of the target sensor, obtain a self-aging coefficient according to the self-aging data, and obtain an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient; the self-aging data includes at least one of a sensor usage time index, a sensor delay index, and a sensor fault index; The final output result of the target sensor is obtained according to the actual aging coefficient and the initial adjustment result, and the final output result of each type of sensor is output as the real environmental parameter of the power converter station, and the safety of the power converter station is monitored according to the real environmental parameters of the power converter station.

2. A method for intelligent safety monitoring of a power converter station according to claim 1, characterized in that: Receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, and matching the electromagnetic interference data with historical electromagnetic interference data to obtain an initial adjustment scheme, adjusting the result currently output by the target sensor according to the initial adjustment scheme, and obtaining the initial adjustment result includes: Acquire the time period during which the target sensor works, and within the time period, acquire the electromagnetic interference intensity value based on the time series to obtain the electromagnetic interference intensity value sequence; Mapping the values ​​and time periods in the electromagnetic interference intensity value sequence to two-dimensional coordinates to obtain an electromagnetic interference intensity value-time period curve, and matching the curve with a historical curve set to obtain an initial adjustment plan; Substitute the current output result of the target sensor into the initial adjustment scheme to obtain an initial adjustment result.

3. A method for intelligent safety monitoring of a power converter station according to claim 2, characterized in that: The values ​​and time periods in the electromagnetic interference intensity value sequence are mapped to two-dimensional coordinates to obtain an electromagnetic interference intensity value-time period curve, and the curve is matched with the historical curve set to obtain an initial adjustment scheme including: Calculate the average value of the electromagnetic interference intensity value corresponding to the electromagnetic interference intensity value-time period curve to obtain an actual average value, and determine a first average value threshold range and a first period range according to the actual average value and the time period, and the actual average value is within the first average value threshold range, and the time period is within the first period range; According to the first average value threshold range and the first period range, the curves in the historical curve set that are within the first average value threshold range and the first period range are screened out to obtain a first curve set; An initial adjustment scheme is obtained according to the first curve set and the electromagnetic interference intensity value-time period curve.

4. A method for intelligent safety monitoring of a power converter station according to claim 3, characterized in that: Obtaining an initial adjustment solution according to the first curve set and the electromagnetic interference intensity value-time period curve includes: Extracting an average value of transient electromagnetic interference intensity values ​​and the number of transient electromagnetic interference intensity values ​​in the electromagnetic interference intensity value-time period curve, and obtaining a second average value threshold range according to the average value of the transient electromagnetic interference intensity value; Filter out the curves in the first curve set that are within the second average value threshold range and have the same number of transient electromagnetic interference intensity values ​​to obtain a second curve set; The transient electromagnetic interference intensity values ​​in the electromagnetic interference intensity value-time period curve are removed, and the remaining curves are fitted to obtain the actual fitting curve; the transient electromagnetic interference intensity values ​​in the second curve set are removed, and the remaining curves are fitted to obtain the third curve set; The actual fitting curve is overlapped with the curve in the third curve set, and the preset adjustment scheme corresponding to the curve with the highest overlap is selected as the initial adjustment scheme.

5. A method for intelligent safety monitoring of a power converter station according to claim 1, characterized in that: Acquiring the self-aging data of the target sensor, obtaining the self-aging coefficient according to the self-aging data, and obtaining the actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient includes: Acquire the actual usage time of the target sensor, and calculate the ratio of the actual usage time to the preset usable time to obtain a sensor usage time index; Obtain the specific time of each output result of the target sensor within the working time period to obtain an output result sequence, and calculate the difference between every two data in the output result sequence to obtain an interval time difference sequence; Calculating the difference between each data in the interval time difference sequence and the preset interval time, and adding all the calculated differences to obtain a sensor delay index; Obtain the number of failures of the target sensor within the working time period and the time from the first failure to the last maintenance, and perform weighted summation of the number of failures and the time from the first failure to the last maintenance to obtain the sensor failure index; The sensor usage time index, sensor delay index and sensor fault index are weighted and summed to obtain the self-aging coefficient; An actual aging coefficient is obtained according to the electromagnetic interference data and the self aging coefficient.

6. A method for intelligent safety monitoring of a power converter station according to claim 5, characterized in that: The actual aging coefficient obtained according to the electromagnetic interference data and the self aging coefficient includes: The actual aging coefficient is obtained according to the working time period of the target sensor in the electromagnetic interference data and the electromagnetic interference intensity value sequence based on the time series within the time period combined with the self aging coefficient; The specific formula for the actual aging coefficient is: Where Dk is the actual aging coefficient, a0 is the self-aging coefficient, G i is the i-th electromagnetic interference intensity value in the electromagnetic interference intensity value sequence, d is the number of data in the electromagnetic interference intensity value sequence, and Δt is the collection time interval between every two adjacent data in the electromagnetic interference intensity value sequence, and is a fixed value.

7. The method for intelligent safety monitoring of a power converter station according to claim 1 is characterized in that: The final output results of the target sensor obtained based on the actual aging coefficient and the initial adjustment result include: The influence weight of the preset aging coefficient of the target sensor on the output result is obtained, and the final output result is obtained by combining the actual aging coefficient and the initial adjustment result. The specific formula is: WSE=ε×Dk×Buiy acg Where WSE is the final output result, ε is the influence weight of the preset aging coefficient corresponding to the target sensor with different functions on the output result, Dk is the actual aging coefficient, Buiy acg This is the initial adjustment result.

8. A power converter station safety intelligent monitoring device, characterized in that: The device comprises: Initial adjustment module: receiving the result currently output by the target sensor, acquiring electromagnetic interference data around the target sensor, matching the electromagnetic interference data with historical electromagnetic interference data, obtaining an initial adjustment scheme, adjusting the result currently output by the target sensor according to the initial adjustment scheme, and obtaining an initial adjustment result; Actual aging module: acquiring self-aging data of the target sensor, obtaining a self-aging coefficient according to the self-aging data, and obtaining an actual aging coefficient according to the electromagnetic interference data and the self-aging coefficient; the self-aging data includes at least one of a sensor usage time index, a sensor delay index, and a sensor fault index; Safety monitoring module: obtain the final output result of the target sensor according to the actual aging coefficient and the initial adjustment result, and output the final output result of each type of sensor as the real environmental parameter of the power converter station, and monitor whether the power converter station is safe according to the real environmental parameters of the power converter station.

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