An abnormal detection method and system for a converter valve cooling system

Abstract

The present invention relates to an abnormal detection method and system for a converter valve cooling system. The abnormal detection method includes: calibrating the fault values of a flow sensor and a pressure sensor; collecting the real-time measurement values of the sensors; obtaining the real-time setting values of the sensors; respectively obtaining the state boolean values of all current sensors through a blockage-type fault boolean value calculation method and a leakage-type fault boolean value calculation method, and forming a matrix sequence therefrom; comparing the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance to determine whether the same matrix sequence is compared. If so, output the corresponding fault type; otherwise, output that no abnormality has occurred; complete the abnormal detection at the current moment and continue with the next abnormal detection. Compared with the prior art, the present invention has the advantages of high accuracy, good real-time performance, good flexibility, low error rate, low application cost, and good practicability.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal detection of converter valve cooling systems, and particularly to an abnormal detection method and system for a converter valve cooling system. Background Art

[0002] At present, DC power transmission is more and more widely used in power systems, and converter valves play a key role in the AC-DC conversion process of DC power transmission systems. When faults occur in the cooling system in the converter valve tower due to overheating of some components, mechanical vibration, etc., it may further exacerbate the overheating of the components. The leakage of the coolant may also cause a discharge channel to form inside the converter valve, posing a risk of fire. Therefore, it is very necessary to quickly and accurately detect and judge whether there is an abnormality in the converter valve cooling system.

[0003] Currently, the abnormal judgment methods for converter valve cooling systems mainly include drip tray leak detection and pipeline flow monitoring. Among them, drip tray leak detection is a relatively direct judgment method for the leakage of the converter valve cooling system, but the main problem of this method is its slow response speed. When leakage occurs, due to the water pressure in the cooling water circuit, the coolant may be sprayed in certain directions. At this time, the coolant has adhered to many high-voltage components but has not reached the drip tray. For the blockage problem in the cooling system, drip tray leak detection basically has no detection effect.

[0004] Pipeline flow monitoring is a method of directly detecting the flow rate of the cooling water circuit through a flow sensor, and its real-time performance for water pressure detection is stronger than that of drip tray leak detection. However, the range set for pipeline flow monitoring is relatively large. When leakage or blockage occurs in a branch pipeline, the flow monitoring of the pipeline at a higher level located in the main pipeline or other pipeline topologies may not be able to judge the abnormality of the cooling system.

[0005] Therefore, it is necessary to propose a more accurate judgment logic to realize the abnormal judgment of the converter valve cooling system. Under the condition of using the same flow monitoring sensor, quickly and accurately judging the abnormality of the cooling system helps to avoid serious accidents such as fires caused by further failures of the cooling system, which is of great significance. Summary of the Invention

[0006] The purpose of the present invention is to overcome the defects of the above-mentioned existing technologies and provide an abnormal detection method and system for a converter valve cooling system with high accuracy, good real-time performance, good flexibility, low error rate, low application cost, and good practicability.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An abnormal detection method for a converter valve cooling system, the abnormal detection method includes:

[0009] Step 1: Calibrate the fault values of all flow sensors and pressure sensors in the current topological structure according to the typical faults of the converter valve cooling system;

[0010] Step 2: Collect the real-time measured values of all flow sensors and pressure sensors;

[0011] Step 3: Calculate the real-time setting values of all flow sensors and pressure sensors according to the collected real-time measured values;

[0012] Step 4: Obtain the status Boolean values of all current sensors respectively through the Boolean value calculation method for blockage faults and the Boolean value calculation method for leakage faults, and form them into a matrix sequence;

[0013] Step 5: Compare the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance, and judge whether the same matrix sequence is compared. If so, output the corresponding fault type; otherwise, output no abnormality;

[0014] Step 6: Complete the abnormality detection at the current moment, return to Step 2, and continue with the next abnormality detection.

[0015] Preferably, the method for obtaining the fault values of the flow sensors and pressure sensors in Step 1 is as follows:

[0016] Obtain the sensor values when the converter valve cooling system has typical faults through simulation calculation or experimental measurement as the fault values, and the sensor values when there is no fault are normal values. Calibrate the flow sensors and pressure sensors respectively using the corresponding normal values and fault values.

[0017] More preferably, the typical faults of the converter valve cooling system in Step 1 include leakage of the valve layer branch pipeline, blockage of the valve layer branch pipeline, leakage of the valve tower main pipeline, and leakage of the valve hall main pipeline.

[0018] More preferably, the specific calibration method is as follows:

[0019] Step 1-1: Obtain parameters K Q and K P according to the fault values and normal values of the sensors, and the calculation method is:

[0020]

[0021]

[0022] where Q 故障 is the fault value of the corresponding flow sensor; Q 正常 is the fault value of the corresponding flow sensor; P 故障 is the fault value of the corresponding pressure sensor; P 正常is the normal value corresponding to the pressure sensor;

[0023] Step 1-2: According to the parameter K Q and K P calculate the normalized setting value Z Q and Z P , and the calculation method is:

[0024]

[0025]

[0026] wherein, is the sensitivity, and the value range is (0, 100];

[0027] Step 1-3: Use the normalized setting value Z Q and Z P to calibrate the flow sensor and the pressure sensor respectively.

[0028] Preferably, the calculation method of the real-time setting value in step 3 is:

[0029] Q 整定 = Z Q ·Q 实时

[0030] P 整定 = Z P ·P 实时

[0031] wherein, Z Q and Z P are the normalized setting values of the flow sensor and the pressure sensor respectively; the Q 实时 and P 实时 are the real-time measured values of the mass flow rate and the pressure respectively, and the calculation method is the arithmetic mean of the measured values within the previous hour at the current moment. If a fault state is judged, Q 实时 and P 实时 maintain the current values until the fault state is eliminated.

[0032] Preferably, the calculation method of the blockage type fault boolean value in step 4 is specifically:

[0033] If the K Q of the current sensor < 1, and there is Q 测量 < Q 整定 or the K Q of the current sensor > 1, and there is Q 测量 > Q 整定 , then the B Q of this sensor = 1, otherwise, the B Q of this sensor = 0;

[0034] If the K of the current sensor Pi -K Po <1, and there is P i测量 -P o测量 <P i整定 -P o整定 Or if the K of the current sensor P >1, and there is P i测量 -P o测量 >P i整定 -P o整定 , then the B of this sensor P =1, otherwise, B P =0;

[0035] The specific method for calculating the leakage - type fault boolean value is as follows:

[0036] If the current sensor data K Q <1, and there is Q i测量 -Q o测量 <Q i整定 -Q o整定 Or K Q >1, and there is Q i测量 -Q o测量 >Q i整定 -Q o整定 , then the B of this sensor Q =1, otherwise, the B of this sensor Q =0;

[0037] If the K of the current sensor Pi -K Po <1, and there is P i测量 -P o测量 <P i整定 -P o整定 Or K P >1, and there is P i测量 -P o测量 <P i整定 -P o整定 , then the B of this sensor P =1, otherwise, B P =0.

[0038] More preferably, step 5 is specifically as follows:

[0039] Compare the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance, and determine whether the same matrix sequence is found. If so, output the corresponding fault type; otherwise, output no abnormality;

[0040] The method for judging the fault type is:

[0041] First, determine whether the fault is a blockage fault or a leakage fault based on the comparison of the matrix sequences.

[0042] Secondly, by judging whether all the numerical values of the state Boolean value sequences corresponding to the main pipeline of the valve hall, the main pipeline of the valve tower, and the branch pipeline of the valve layer are all 1. If so, the position corresponding to the sequence is the fault position.

[0043] Finally, output the fault type as leakage of the branch pipeline of the valve layer, blockage of the branch pipeline of the valve layer, leakage of the main pipeline of the valve tower, or leakage of the main pipeline of the valve hall.

[0044] More preferably, the abnormal detection method of the converter valve cooling system further includes a sensor fault detection sub-method; the sensor fault detection sub-method includes:

[0045] Set the sensitivity to 1, and use the same calculation method as B Q and B P to obtain the Boolean values E Q and E P used to characterize whether the sensor fails;

[0046] When the Boolean values B Q and B P output by the sensor are 1, while the output values of B Q and B P of all other sensors are 0, if the Boolean values E Q and E P output by the sensor are both 1, then output the judgment result that the sensor data is inaccurate;

[0047] When the Boolean values E Q and E P output by the sensor are 0, while the E Q and E P output by all other sensors are both 1, then output the judgment result that the sensor fails and the data is inaccurate.

[0048] An abnormal detection system for a converter valve cooling system, the abnormal detection system includes a plurality of sensor modules, a data processing terminal, a display module, a mobile terminal, and an audible and visual alarm;

[0049] The plurality of sensor modules are respectively installed at the entrances and exits of the main pipeline of the valve hall, the entrances and exits of the main pipeline of the valve tower, and the entrances and exits of the branch pipeline of the valve layer; the plurality of sensor modules communicate with the data processing terminal respectively; the data processing terminal collects the data at the entrances and exits of the main pipeline of the valve hall, the entrances and exits of the main pipeline of the valve tower, and the entrances and exits of the branch pipeline of the valve layer through the sensor modules, and compares it with a preset threshold value, and outputs the abnormal detection result of the cooling system; the display module, the mobile terminal, and the audible and visual alarm communicate with the data processing terminal respectively;

[0050] The data processing terminal is used to execute any one of the above-mentioned anomaly detection methods.

[0051] Preferably, the sensor module includes a flow sensor and a pressure sensor; the flow sensor and the pressure sensor are respectively in wireless communication with the data processing terminal; both the flow sensor and the pressure sensor are wireless sensors.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] First, high accuracy and good real-time performance: The anomaly detection method for the converter valve cooling system in the present invention sets the judgment logic and setting values for the flow rate and pressure values at each topology level according to the normal values and fault values, so as to realize the judgment of the abnormal state and timely eliminate faults. By setting the status boolean value to judge whether a fault occurs, it is only when the status boolean values of all sensors on the current pipeline are ANDed to 1 that it is judged that the current pipeline has an anomaly. The accuracy of anomaly detection is high and the real-time performance is good.

[0054] Second, good flexibility: The anomaly detection method for the converter valve cooling system in the present invention sets the system detection sensitivity, and users can set different sensitivities according to specific situations, improving the applicability and flexibility of the method.

[0055] Third, low error rate: The anomaly detection method for the converter valve cooling system in the present invention is provided with a sensor fault detection sub-method for detecting the faults of the sensors themselves, greatly reducing the misdetection caused by the faults of the sensors themselves and effectively reducing the error rate.

[0056] Fourth, low application cost: The anomaly detection system for the converter valve cooling system in the present invention uses wireless sensors and data processing terminals that have been popularized in the market, effectively reducing the application cost.

[0057] Fifth, good practicability: The anomaly detection system for the converter valve cooling system in the present invention is provided with a mobile terminal, and users can obtain the anomaly detection situation of the converter valve cooling system in real time through the mobile terminal, greatly improving the practical performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic flow chart of the anomaly detection method for the converter valve cooling system in the present invention;

[0059] Figure 2 It is a schematic topological structure diagram of the converter valve cooling system in an embodiment of the present invention;

[0060] Figure 3 It is a schematic logic diagram for judging the occurrence of a fault in the converter valve in an embodiment of the present invention;

[0061] Figure 4 It is a schematic diagram of the judgment logic for the self-check of the sensor in the embodiment of the present invention;

[0062] Figure 5 It is a schematic diagram of the logic for judging that the sensor fails in the embodiment of the present invention;

[0063] Figure 6 It is a schematic diagram of the structure of the abnormal detection system for the converter valve cooling system in the present invention.

[0064] As shown by the reference numerals in the figure:

[0065] 1. Sensor module, 2. Data processing terminal, 3. Display module, 4. Mobile terminal, 5. Acousto-optic alarm, 101. Flow sensor, 102. Pressure sensor. Specific implementation mode

[0066] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0067] An abnormal detection method for a converter valve cooling system, the process of which is as Figure 1 shown, including:

[0068] Step 1: Calibrate the fault values of all flow sensors and pressure sensors in the current topological structure according to the typical faults of the converter valve cooling system;

[0069] The method for obtaining the fault values of the flow sensor and the pressure sensor is:

[0070] Obtain the sensor values when the converter valve cooling system has typical faults through simulation calculation or experimental measurement as the fault values, and the sensor values when there is no fault are the normal values. Calibrate the flow sensor and the pressure sensor with the corresponding normal values and fault values respectively;

[0071] The typical faults in this embodiment include leakage of the valve layer branch pipeline, blockage of the valve layer branch pipeline, leakage of the valve tower main pipeline, and leakage of the valve hall main pipeline. The corresponding topological structure of the converter valve cooling system is as Figure 2 shown;

[0072] The specific method for calibrating the sensor is:

[0073] Step 1-1: Obtain parameters K Q and K P, the calculation method is as follows:

[0074]

[0075]

[0076] Among them, Q 故障 is the fault value of the corresponding flow sensor; Q 正常 is the fault value of the corresponding flow sensor; P 故障 is the fault value of the corresponding pressure sensor; P 正常 is the normal value of the corresponding pressure sensor;

[0077] Step 1-2: Calculate the normalized setting values Z Q and Z P according to the parameters K Q and Z P , the calculation method is as follows:

[0078]

[0079]

[0080] Among them, is the sensitivity, and the value range is (0, 100];

[0081] Step 1-3: Use the normalized setting values Z Q and Z P to calibrate the flow sensor and the pressure sensor respectively;

[0082] Step 2: Collect the real-time measurement values of all flow sensors and pressure sensors;

[0083] Step 3: Calculate the real-time setting values of all flow sensors and pressure sensors according to the collected real-time measurement values;

[0084] The calculation method of the real-time setting value is as follows:

[0085] Q 整定 = Z Q ·Q 实时

[0086] P 整定 = Z P ·P 实时

[0087] Among them, Z Q and Z P are the normalized setting values of the flow sensor and the pressure sensor respectively; the Q 实时 and P 实时They are the real-time measurement values of the mass flow rate and the pressure respectively. The calculation method is the arithmetic mean of the measurement values within the previous hour before the current moment. If a fault state is judged, Q 实时 and P 实时 maintain the current value until the fault state is eliminated;

[0088] Step 4: Obtain the state boolean values of all current sensors through the blockage-type fault boolean value calculation method and the leakage-type fault boolean value calculation method respectively, and form them into a matrix sequence;

[0089] The blockage-type fault boolean value calculation method is specifically as follows:

[0090] If the K of the current sensor Q < 1, and there is Q 测量 < Q 整定 or the K of the current sensor Q > 1, and there is Q 测量 > Q 整定 , then the B of this sensor Q = 1, otherwise, the B of this sensor Q = 0;

[0091] If the K of the current sensor Pi - K Po < 1, and there is P i测量 - P o测量 < P i整定 - P o整定 or the K of the current sensor P > 1, and there is P i测量 - P o测量 > P i整定 - P o整定 , then the B of this sensor P = 1, otherwise, B P = 0;

[0092] The leakage-type fault boolean value calculation method is specifically as follows:

[0093] If the current sensor data K Q < 1, and there is Q i测量 - Q o测量 < Q i整定 - Q o整定 or K Q > 1, and there is Q i测量 - Q o测量 > Q i整定 - Q o整定 , then the B of this sensor Q = 1, otherwise, the B of this sensor Q = 0;

[0094] If the K of the current sensor Pi-K Po <1 and there is P i测量 -P o测量 <P i整定 -P o整定 or K P >1 and there is P i测量 -P o测量 <P i整定 -P o整定 then the B of this sensor P =1, otherwise, B P =0.

[0095] The subscripts 0 and 1 are omitted in the above formulas. For example, Q i represents all Q i0 and Q i1 ; when there is a subtraction of parameters in the above formulas, for example, P i测量 -P o测量 must refer to the subtraction of the data at the inlet and outlet of the same branch or the subtraction of the data at the inlet and outlet of the main circuit. Each fault type corresponds to a set of Boolean values B Q and B P , when all B Q and B P AND to 1, output the judgment result of the occurrence of this fault, and the logic mode is as Figure 3 shown. The system defaults to using the sensitivity parameter as to calculate a series of setting values. Higher sensitivity is beneficial for quickly judging faults, and users can appropriately adjust the sensitivity parameter according to actual needs.

[0096] Step 5: Compare the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance, and judge whether the same matrix sequence is found. If so, output the corresponding fault type; otherwise, output no abnormality;

[0097] Specifically:

[0098] Compare the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance, and judge whether the same matrix sequence is found. If so, output the corresponding fault type; otherwise, output no abnormality;

[0099] The judgment method of the fault type is:

[0100] First, determine whether the fault is a blockage fault or a leakage fault according to the comparison of the matrix sequences;

[0101] Secondly, by judging whether all the values of the state Boolean value sequences corresponding to the main pipeline of the valve hall, the main pipeline of the valve tower, and the branch pipeline of the valve layer are all 1. If so, the position corresponding to this sequence is the fault location;

[0102] The final output fault types are leakage of the valve layer branch pipeline, blockage of the valve layer branch pipeline, leakage of the valve tower main pipeline, or leakage of the valve hall main pipeline.

[0103] Step 6: Complete the anomaly detection at the current moment, return to Step 2, and continue with the next anomaly detection.

[0104] The anomaly detection method for the converter valve cooling system in this example further includes a sensor fault detection sub-method, including:

[0105] Set the sensitivity to 1, and use the same calculation method as B Q and B P to obtain the boolean value E Q and E P used to characterize whether the sensor fails; a higher sensitivity is beneficial for quickly judging faults in the case of sensor failures, but it is prone to misjudgment of the cooling system and misjudgment of sensor failures; users can appropriately adjust the sensitivity parameter according to actual needs;

[0106] When the boolean values B Q and B P output by the sensor are 1, while the B Q and B P output values of all other sensors are 0, if the boolean values E Q and E P output by this sensor are both 1, then output the judgment result that the data of this sensor is inaccurate, and the judgment logic is as Figure 4 shown. In this case, it is necessary to perform fault detection on the sensor, and after troubleshooting, recalibrate the system.

[0107] When the boolean values E Q and E P output by the sensor are 0, while the E Q and E P output by all other sensors are both 1, then output the judgment result that this sensor fails and the data is inaccurate, and the judgment logic is as Figure 5 shown. This judgment result has a slightly lower fault detection accuracy due to the lower sensitivity, but it ensures that the system can still detect faults in the cooling system when a single sensor fails.

[0108] An anomaly detection system for a converter valve cooling system, with a structure as Figure 6 shown, including several sensor modules 1, a data processing terminal 2, a display module 3, a mobile terminal 4, and an audible and visual alarm 5;

[0109] A number of sensor modules 1 are respectively installed at the entrances and exits of the main pipelines in the valve hall, the entrances and exits of the main pipelines in the valve tower, and the entrances and exits of the branch pipelines on the valve layer. The number of sensor modules 1 respectively communicate with the data processing terminal 2. The data processing terminal 2 collects the data at the entrances and exits of the main pipelines in the valve hall, the entrances and exits of the main pipelines in the valve tower, and the entrances and exits of the branch pipelines on the valve layer through the sensor module 2, compares it with the preset threshold value, outputs the abnormal detection result of the cooling system, and the display module 3, the mobile terminal 4, and the audible and visual alarm 5 respectively communicate with the data processing terminal 2. The data processing terminal 2 is used to execute the above abnormal detection method.

[0110] The sensor module 1 includes a flow sensor 101 and a pressure sensor 102. The flow sensor 101 and the pressure sensor 102 respectively communicate with the data processing terminal 2 wirelessly. Both the flow sensor 101 and the pressure sensor 102 are wireless sensors.

[0111] In this embodiment, the error δ of the sensor needs to ensure that 2δ < {K - 1} min , where K is the normalized fault value of all fault conditions of the corresponding sensor. The measuring range of the sensor at the corresponding position needs to ensure that it is greater than twice the normal operating value of the measurement point. When calibrating for fault conditions, if an over-range phenomenon occurs, it is recorded according to the full scale.

[0112] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An abnormal detection method for a converter valve cooling system, characterized in that, the abnormal detection method includes: Step 1: Calibrate the fault values of all flow sensors and pressure sensors in the current topological structure according to the typical faults of the converter valve cooling system. The specific calibration method is as follows: Step 1-1: Obtain parameters K and K according to the fault value and normal value of the sensor, and the calculation method is as follows: Q and K P , the calculation method is: Among them, Q 故障 is the fault value of the corresponding flow sensor; Q 正常 is the normal value of the corresponding flow sensor; P 故障 is the fault value of the corresponding pressure sensor; P 正常 is the normal value of the corresponding pressure sensor; Step 1-2: According to parameters K Q and K P calculate the normalized setting value Z Q and Z P , and the calculation method is as follows: Among them, is the sensitivity, and its value range is (0, 100]; Step 1-3: Use the normalized setting value Z Q and Z P Calibrate the flow sensor and the pressure sensor respectively Step 2: Collect the real-time measurement values of all flow sensors and pressure sensors; Step 3: Calculate the real-time setting values of all flow sensors and pressure sensors according to the collected real-time measurement values. The calculation method of the real-time setting values is as follows: Q 整定 = Z Q ·Q 实时 P 整定 = Z P ·P 实时 Among them, Z Q and Z P are the normalized set values of the flow sensor and the pressure sensor respectively; the Q 实时 and P 实时 are the real-time measured values of the mass flow rate and the pressure respectively, and the calculation method is the arithmetic mean of the measured values within the previous hour before the current moment. If a fault state is judged, Q 实时 and P 实时 maintain the current values until the fault state is eliminated; Step 4: Obtain the status boolean values of all current sensors respectively through the blockage-type fault boolean value calculation method and the leakage-type fault boolean value calculation method, and form a matrix sequence with them; Step 5: Compare the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance, and determine whether the same matrix sequence is compared. If so, output the corresponding fault type; otherwise, output that no abnormality has occurred; Step 6: Complete the abnormal detection at the current moment, return to Step 2, and continue to perform the next abnormal detection.

2. An abnormal detection method for a converter valve cooling system according to claim 1, characterized in that, the method for obtaining the fault values of the flow sensors and pressure sensors in Step 1 is as follows: Obtain the sensor values when the converter valve cooling system has typical faults through simulation calculation or experimental measurement as the fault values, and the values of the sensors when no fault occurs are normal values. Calibrate the flow sensors and pressure sensors respectively using the corresponding normal values and fault values.

3. An abnormal detection method for a converter valve cooling system according to claim 2, characterized in that, the typical faults of the converter valve cooling system in Step 1 include leakage of the valve layer branch pipeline, blockage of the valve layer branch pipeline, leakage of the valve tower main pipeline, and leakage of the valve hall main pipeline.

4. An abnormal detection method for a converter valve cooling system according to claim 1, characterized in that, the specific blockage-type fault boolean value calculation method in Step 4 is as follows: If the K of the current sensor Q < 1 and there is Q 测量 <Q 整定 Or the K of the current sensor Q >1 and there is Q 测量 >Q 整定 , then the B of this sensor Q = 1, otherwise, the B of this sensor Q = 0; If the K of the current sensor Pi -K Po <1, and there is P i测量 -P o测量 <P i整定 -P o整定 Or the K of the current sensor P >1, and there is P i测量 -P o测量 >P i整定 -P o整定 , then the B of the sensor P =1, otherwise, B P =0; the specific leakage-type fault boolean value calculation method is as follows: If the current sensor data K Q < 1, and there is Q i测量 -Q o测量 < Q i整定 -Q o整定 Or K Q > 1, and there is Q i测量 -Q o测量 > Q i整定 -Q o整定 , then B of this sensor Q = 1, otherwise, B of this sensor Q = 0; If K of the current sensor Pi -K Po <1, and there is P i测量 -P o测量 <P i整定 -P o整定 Or K P >1, and there is P i测量 -P o测量 <P i整定 -P o整定 , then B of the sensor P =1, otherwise, B P =0.

5. An abnormal detection method for a converter valve cooling system according to claim 1, characterized in that, Step 5 is specifically as follows: Compare the matrix sequence with the matrix sequences corresponding to each typical fault stored in advance, and determine whether the same matrix sequence is compared. If so, output the corresponding fault type; otherwise, output that no abnormality has occurred; The method for judging the fault type is as follows: First, determine whether the fault is a blockage-type fault or a leakage-type fault according to the comparison of the matrix sequences; Secondly, judge whether all the values of the status boolean value sequences corresponding to the valve hall main pipeline, valve tower main pipeline, and valve layer branch pipeline are all 1. If so, the position corresponding to this sequence is the fault position; Finally, output the fault type as leakage of the valve layer branch pipeline, blockage of the valve layer branch pipeline, leakage of the valve tower main pipeline, or leakage of the valve hall main pipeline.

6. An abnormal detection method for a converter valve cooling system according to claim 4, characterized in that, the abnormal detection method of the converter valve cooling system further includes a sensor fault detection sub-method; The described sensor fault detection sub-method includes: Set the sensitivity to 1, and obtain a Boolean value E Q and B P used to characterize whether the sensor fails by the same calculation method as B Q and E P ; When the Boolean value B output by the sensor Q and B P are 1, and the B Q and B P output values of all other sensors are 0, if the Boolean values E Q and E P output by this sensor are both 1, then output the judgment result that the data of this sensor is inaccurate; When the Boolean value E output by the sensor Q and E P are 0, while the E Q and E P output by all other sensors are all 1, then it is determined that the sensor has a fault and the data is inaccurate.

7. An abnormal detection system for a converter valve cooling system, characterized in that the abnormal detection system includes several sensor modules (1), a data processing terminal (2), a display module (3), a mobile terminal (4) and an audible and visual alarm (5); the several sensor modules (1) are respectively installed at the entrances and exits of the main pipelines in the valve hall, the entrances and exits of the main pipelines of the valve tower, and the entrances and exits of the branch pipelines of the valve layer; the several sensor modules (1) communicate with the data processing terminal (2) respectively; the data processing terminal (2) collects the data at the entrances and exits of the main pipelines in the valve hall, the entrances and exits of the main pipelines of the valve tower, and the entrances and exits of the branch pipelines of the valve layer through the sensor module (2), and compares it with a preset threshold value to output the abnormal detection result of the cooling system; the display module (3), the mobile terminal (4) and the audible and visual alarm (5) communicate with the data processing terminal (2) respectively; the data processing terminal (2) is used to execute the abnormal detection method according to any one of claims 1 to 6.

8. An abnormal detection system for a converter valve cooling system according to claim 7, characterized in that the sensor module (1) includes a flow sensor (101) and a pressure sensor (102); the flow sensor (101) and the pressure sensor (102) communicate with the data processing terminal (2) wirelessly respectively; both the flow sensor (101) and the pressure sensor (102) are wireless sensors.

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