Sensor fault comprehensive identification method and system in liquid cooling system

Abstract

The invention discloses a sensor fault comprehensive identification method and system in a liquid cooling system, and belongs to the field of a data center CDU, and the method comprises the steps: S1, data collection and conversion; s2, a self-learning step: recording the flow of a primary side loop and a secondary side loop under each frequency gradient and the temperature difference and the pressure difference of an inlet and an outlet of a variable frequency water pump for fault judgment and secondary verification; s3, an alarm parameter setting step; s4, temperature sensor fault primary judgment, wherein temperature sensor fault primary judgment is completed through heating power accounting, limit value recognition and redundancy deviation recognition; s5, secondary verification of the temperature fault: if the temperature fault in the step S4 is initially judged to be a heating power over-limit or limit value fault, performing secondary judgment in a redundancy verification mode; and when the temperature fault in the step S4 is initially judged to be a redundancy deviation fault, different loops are adopted for verification according to different installation positions of the fault temperature sensor. The problem that in the prior art, only a single sensor is used for alarm recognition, and system abnormal alarm is caused during online maintenance is solved.

Description

Technical Field

[0001] This application relates to the technical field of CDU in data centers, and particularly to a method and system for comprehensively identifying sensor faults in a liquid cooling system. Background Art

[0002] With the progress of information technology, artificial intelligence has become an indispensable part of social development. As the physical carrier of artificial intelligence, data centers play a crucial role. And as the cold quantity distribution unit of the data center, the CDU plays a vital role in the normal operation of the data center. The current CDU mainly adopts a multi-sensor redundancy scheme, and these sensors play an indispensable role in the normal operation of the CDU. The current CDU system only alarms for single sensor limit values and detects wire breaks, without collecting and summarizing the data of redundant sensors and associated loop sensors for comprehensive identification and judgment, and does not give full play to the due role of redundant configuration; moreover, taking single sensor alarms will affect the stability of system operation, increase the probability of false alarms, and reduce the overall system reliability. At the same time, the existing technology does not have an online maintenance control logic, resulting in abnormal alarms that should not occur in the CDU system when sensors are replaced online, thus affecting the stability of the entire system operation.

[0003] Therefore, how to avoid abnormal alarms of system parameters caused by online maintenance and replacement of sensors and how to comprehensively judge sensor fault conditions by using the system sensor redundancy configuration and the configuration of other associated loop sensors, so as to improve the overall stability and reliability of the system are difficult problems to be solved urgently. Summary of the Invention

[0004] The purpose of this application is: to overcome the problems of the prior art, a method and system for comprehensively identifying sensor faults in a liquid cooling system are disclosed to solve the problems of only single sensor alarm identification and system abnormal alarms caused during online maintenance in the prior art, thus affecting the stability and reliability of system operation.

[0005] On the one hand, the purpose of this application is achieved through the following technical solutions: A method for comprehensively identifying sensor faults in a liquid cooling system, the liquid cooling system includes a primary side loop and a secondary side loop, wherein the primary side loop and the secondary side loop perform heat exchange through a heat exchanger, the primary side loop is used to provide a refrigeration source, the secondary side loop is used to complete the refrigeration of the load in the liquid cooling system, and a variable frequency water pump is provided in the secondary side loop to drive the cooling medium in the loop. A number of pressure sensors, temperature sensors and flow sensors are respectively provided in the primary side loop and the secondary side loop; The sensor fault comprehensive identification method includes: S1: A data acquisition and conversion step, collecting and converting the feedback data of each sensor, and converting the electrical signals transmitted by each sensor into the actual engineering quantities of the liquid cooling system; S2: Self-learning step. By controlling the variable-frequency water pumps in the primary loop and the secondary loop to operate in a stepped manner from the lowest allowed frequency to the highest frequency, and operating for a preset time at each frequency step, and recording the flow rates of the primary loop and the secondary loop, as well as the temperature difference and pressure difference between the inlet and outlet of the variable-frequency water pumps at each frequency step for fault judgment and secondary verification; S3: Alarm parameter setting step. Set the relevant alarm parameters of each sensor as the input for pre-identifying faults; S4: Initial judgment of temperature sensor faults. Complete the initial judgment of temperature sensor faults through heat generation power calculation, limit value identification, and redundant deviation identification; S5: Secondary verification of temperature faults If the initial judgment of temperature faults in step S4 is that the heat generation power exceeds the limit or there is a limit value fault, a redundant verification method is used for secondary judgment; If the initial judgment of temperature faults in step S4 is a redundant deviation fault, different loop verifications are adopted according to the different installation positions of the faulty temperature sensors, including: loop verification for pump outlet temperature faults, loop verification for supply liquid temperature faults, and loop verification for return liquid temperature faults.

[0006] According to a preferred embodiment, the heat generation power calculation in step S4 is implemented according to the following steps: S411: Historical data storage. Record and store the actual engineering quantities converted by each sensor in S1 at preset time intervals in sequence; S412: According to the historical data recorded in S411, calculate the actual load heat generation power P of the liquid cooling system:

[0007] where, T t is the real-time temperature of the liquid cooling system, T t-1 is the historical temperature recorded by the liquid cooling system at the previous moment, △t is the interval for recording the historical data of the system temperature, m is the mass of the coolant in the liquid cooling system, and c is the specific heat capacity of the coolant in the system; S413: Comparison of heat generation power. Compare the actual load heat generation power P calculated in S412 with the maximum load heat generation power P max of the liquid cooling system; If, P ≤ P max , it indicates that the actual load heat generation power of the system is within the normal range, representing that the acquisition value of the temperature sensor is normal; If, P > P max , it indicates that the actual load heat generation power of the system exceeds the theoretical maximum load heat generation power, representing that the acquisition value of the temperature sensor may be abnormal; at this time, an initial judgment signal of heat generation power exceeding the limit will be sent, and secondary verification of temperature faults will be carried out according to step S5.

[0008] According to a preferred embodiment, the limit value identification in step S4 is implemented according to the following steps: S421: Ultra-high limit value alarm. According to the real-time temperature T collected in S1 t and the ultra-high limit value T of the temperature sensor engineering quantity set in S3 HH are compared. If T t ≥T HH , a preliminary judgment signal of ultra-high temperature fault is issued, and the temperature fault is verified secondly according to step S5; S422: High limit value alarm. According to the real-time temperature T collected in S1 t and the high limit value T of the temperature sensor engineering quantity set in S3 H are compared. If T t ≥T H , a preliminary judgment signal of high temperature fault is issued, and the temperature fault is verified secondly according to step S5; S423: Low limit value alarm. According to the real-time temperature T collected in S1 t and the low limit value T of the temperature sensor engineering quantity set in S3 L are compared. If T t ≤T L , a preliminary judgment signal of low temperature fault is issued, and the temperature fault is verified secondly according to step S5; S424: Ultra-low limit value alarm. According to the real-time temperature T collected in S1 t and the ultra-low limit value T of the temperature sensor engineering quantity set in S3 LL are compared. If T t ≤T LL , a preliminary judgment signal of low temperature fault is issued, and the temperature fault is verified secondly according to step S5; S425: Disconnection value alarm. According to the real-time temperature T collected in S1 t and the disconnection value T of the temperature sensor set in S3 b are compared. If T t ≥T b , a preliminary judgment signal of temperature disconnection fault is issued, and the temperature fault is verified secondly according to step S5.

[0009] According to a preferred embodiment, the redundant deviation identification in step S4 is implemented according to the following steps: S431: Redundant deviation calculation. According to the actual temperature value calculated in step S1, the difference of the paired redundant sensors is calculated by the following formula:

[0010] △T is the actual difference of the temperature paired redundant sensors in the liquid cooling system; T1 is the temperature value of one temperature sensor in the temperature paired redundant sensors of the liquid cooling system; T2 is the temperature value of the other temperature sensor in the temperature paired redundant sensors of the liquid cooling system; S432, redundant deviation comparison, compare the temperature redundancy deviation value T d deviation value with the actual difference △T calculated in S431. If △T ≥ T d , then send out the initial judgment signal of temperature redundancy deviation fault, and perform the secondary verification of temperature fault according to step S5.

[0011] According to a preferred embodiment, the redundant verification process in step S5 includes: According to the data source corresponding to the fault, read the actual temperature value T calculated in S1 of the paired redundant temperature sensor corresponding to the faulty sensor 配 , and then read the actual value T of the faulty temperature 故 , T 故 and T 配 data for difference calculation and compare with the temperature redundancy deviation value T set in S3 d ; If, |T 故 -T 配 | ≥ T d , then output the secondary verification result as a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair; if, |T 故 -T 配 | < T d , then output the secondary verification result as normal, and at the same time reset the corresponding fault signal.

[0012] According to a preferred embodiment, the verification process of the pump outlet temperature fault loop in step S5 includes: Receive the current actual speed of the water pump, substitute it into step S2 to obtain the temperature difference △T between the inlet and outlet of the pump at the corresponding speed 进出口 , according to the return water temperature T read in S1 回 , and then add the acceptable relative deviation T set in S3 进出口 , the corresponding theoretical pump outlet temperature under this working condition can be calculated as follows:

[0013] Among them, T 出 is the theoretical pump outlet temperature, T 回 is the current actual return liquid temperature, △T 进出口 is the temperature difference between the inlet and outlet of the pump saved by self-learning at the current water pump speed, T 进出口 is the acceptable relative deviation set in S3; Then according to the pump outlet temperature T calculated above出 Compare with the actually collected pump outlet temperature T 出实际 to obtain: If |T 出实际 - T 出 | < T d , then output that the secondary verification result is normal, and at the same time reset the corresponding fault signal; if |T 出实际 - T 出 | ≥ T d , then output that the secondary verification result is a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair.

[0014] According to a preferred embodiment, the verification process of the liquid supply temperature fault loop in step S5 includes: According to the heat balance equations on the primary side and the secondary side, calculate that the temperature difference before and after the secondary side heat exchanger is:

[0015] △T 二次 is the temperature difference between the input and output ends of the secondary side of the heat exchanger, F 一次 is the flow value of the primary side of the heat exchanger, c 一次 is the specific heat capacity of the medium on the primary side of the heat exchanger, △T 一次 is the temperature difference between the input and output ends of the primary side of the heat exchanger, F 二次 is the flow value of the secondary side of the heat exchanger, c 二次 is the specific heat capacity of the medium on the secondary side of the heat exchanger; Then, based on the calculated temperature difference △T 二次 before and after the secondary side and the difference △T 二次实际 between the actually collected pump outlet temperature and the liquid supply temperature, compare to obtain: If |△T 二次 - △T 二次实际 | < T d , then output that the secondary verification result is normal, and at the same time reset the corresponding fault signal; If |△T 二次 - △T 二次实际 | ≥ T d , then output that the secondary verification result is a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair.

[0016] According to a preferred embodiment, the verification process of the return liquid temperature fault loop in step S5 includes: Read the current return liquid temperature and the liquid supply temperature and compare them. If the return liquid temperature is less than or equal to the liquid supply temperature, then output that the secondary verification result is a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair; If the return liquid temperature is greater than the liquid supply temperature, then perform a three - time verification using the pump outlet temperature fault loop verification method.

[0017] According to a preferred embodiment, step S1 includes: converting the electrical signals transmitted by each sensor into digital signals, and then scaling the corresponding digital signals geometrically according to the upper and lower limits of the actual engineering quantity to obtain the actual engineering quantity of the system collected by the corresponding sensor.

[0018] According to a preferred embodiment, the comprehensive sensor fault identification method further includes: S6: Pressure sensor fault judgment, which is completed by limit value identification and comprehensive identification; S7: Flow sensor fault judgment, which is completed by limit value identification and frequency identification; S8: Sensor on-line maintenance steps.

[0019] According to a preferred embodiment, the limit value identification process in step S6 includes: S611: Ultra-high limit value alarm. According to the real-time pressure P collected in S1 t and the ultra-high limit value P of the engineering quantity of the pressure sensor set in S3 HH are compared. If P t ≥P HH , a preliminary judgment signal of high pressure fault is sent, and re-comprehensive identification is carried out; S612: High limit value alarm. According to the real-time pressure P collected in S1 t and the high limit value P of the engineering quantity of the pressure sensor set in S3 H are compared. If P t ≥P H , a preliminary judgment signal of high pressure fault is sent, and re-comprehensive identification is carried out; S613. Low limit value alarm. According to the real-time pressure P collected in S1 t and the low limit value P of the engineering quantity of the pressure sensor set in S3 L are compared. If P t ≤P L , a preliminary judgment signal of low pressure fault is sent, and re-comprehensive identification is carried out; S614: Ultra-low limit value alarm. According to the real-time pressure P collected in S1 t and the ultra-low limit value P of the engineering quantity of the pressure sensor set in S3 LL are compared. If P t ≤P LL , a preliminary judgment signal of ultra-low pressure fault is sent, and re-comprehensive identification is carried out; S615: Disconnection value alarm. According to the real-time pressure P collected in S1 t and the disconnection value P of the pressure sensor set in S3 b are compared. If P t ≥Pb Then, an initial judgment signal for pressure disconnection fault is sent out, and a comprehensive recognition is carried out again.

[0020] According to a preferred embodiment, in step S6, the comprehensive recognition process includes: S621. Read the temperature, flow rate, water pump frequency of the liquid cooling system, and the pressure historical storage values of the redundant pressure sensors paired with the initial fault pressure sensors; S622. Calculate the fluctuation range of the historical storage values of each parameter in S621 within a preset time; S623. Conclusion output: If each parameter fluctuates within the specified range during the fault trigger period, output the secondary calibration result of the corresponding pressure sensor as a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair; If the fluctuation trend of each parameter is consistent with that of the fault sensor during the fault trigger period, output the secondary calibration result as normal, and judge it as a false alarm caused by system fluctuation.

[0021] According to a preferred embodiment, the limit value recognition process in step S7 includes: S711. Ultra-high limit value alarm. According to the real-time flow rate F collected in S1 t and the F set in S3 HH are compared. If F t ≥F HH , then an initial judgment signal for ultra-high flow rate fault is sent out, and a secondary calibration is carried out according to step S721; S712. High limit value alarm. According to the real-time flow rate F collected in S1 t and the F set in S3 H are compared. If F t ≥F H , then an initial judgment signal for high flow rate fault is sent out, and a secondary calibration is carried out according to step S721; S713. Low limit value alarm. According to the real-time flow rate F collected in S1 t and the F set in S3 L are compared. If F t ≤F L , then an initial judgment signal for low flow rate fault is sent out, and a secondary calibration is carried out according to step S721; S714. Ultra-low limit value alarm. According to the real-time flow rate F collected in S1 t and the F set in S3 LL are compared. If F t ≤F LL , then an initial judgment signal for ultra-low flow rate fault is sent out, and a secondary calibration is carried out according to step S721; S715. Disconnection value alarm. According to the real-time flow rate F collected in S1t Compare with F set in S3 b If F t ≥F b , then send out the initial judgment signal of flow disconnection fault, and perform secondary verification according to step S721; The frequency identification process in step S7 includes: S721: According to the corresponding relationship between the pump frequency and flow rate saved by self-learning in step S2, compare with the actually collected flow rate. If the absolute value of the difference between the two is greater than Fd, then output the secondary verification result as a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair.

[0022] On the other hand, the present application also discloses: A comprehensive sensor fault identification system in a liquid cooling system. The sensor fault comprehensive identification system uses the aforementioned sensor fault comprehensive identification method to identify sensor faults. The sensor fault comprehensive identification system includes: A feedback unit, which is composed of pressure sensors, temperature sensors and flow sensors arranged in the primary side circuit and the secondary side circuit of the liquid cooling system; An acquisition unit for completing data acquisition of the feedback unit; A control unit for receiving the feedback signal collected by the acquisition unit and identifying and outputting relevant alarm signals to the human-computer interaction unit; A human-computer interaction unit for realizing information interaction with the control unit; An output unit for receiving the control instruction of the control unit and outputting it to the execution unit; An execution unit, the execution unit includes an inverter and a variable frequency pump, and the variable frequency pump is arranged in the secondary side circuit of the liquid cooling system to realize the drive of the cooling medium in the corresponding circuit.

[0023] The main solution of the present application and its various further selection solutions can be freely combined to form multiple solutions, all of which are solutions that can be adopted and claimed by the present application. Those skilled in the art can understand that there are various combinations according to the prior art and common general knowledge after understanding the solution of the present application, all of which are the technical solutions to be protected by the present application, and will not be enumerated here.

[0024] The beneficial effects of the present application: In the method and system for comprehensive identification of sensor faults in the liquid cooling system disclosed in this application, on the one hand, various temperature, pressure, and flow operation parameters of the liquid cooling system can be collected. Combining verification strategies such as heat generation power calculation, limit identification, redundant deviation identification, redundant verification, and loop verification, data summarization and comprehensive identification and judgment of sensor fault problems are carried out, effectively improving the overall operation stability of the system, reducing the false alarm probability of system sensor faults, and improving the overall reliability of the system; through the human-machine interaction unit, maintenance and repair requirements are collected, and through the built-in control logic of the control unit, the initial judgment and secondary verification functions of the repaired sensor faults are shielded, preventing abnormal alarms that should not occur in the liquid cooling system during online replacement of sensors, and improving the operation stability of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic structural diagram of the liquid cooling system of this application; Figure 2 is a schematic flow diagram of the method for comprehensive identification of sensor faults in this application; Figure 3 is a schematic structural diagram of the system for comprehensive identification of sensor faults in this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The following specific examples illustrate the implementation manners of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific implementation manners, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0027] It should be noted that: Similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0028] In the description of this application, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of this application is usually placed during use. It is only for the convenience of describing this application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of this application. In addition, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0029] In addition, terms such as "horizontal", "vertical", "hanging", etc. do not mean that the components are required to be absolutely horizontal or hanging, but can be slightly inclined. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but can be slightly inclined.

[0030] In the description of the present application, it should also be noted that unless otherwise clearly specified and defined, the terms "set", "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0031] In addition, it should be pointed out in the present application that in the present application, if the specific structures, connection relationships, position relationships, power source relationships, etc. involved are not specifically written, then the structures, connection relationships, position relationships, power source relationships, etc. involved in the present application are all known to those skilled in the art on the basis of the prior art without creative labor.

[0032] Embodiment Reference Figure 1 As shown Figure 1 As shown in the schematic diagram of the principle structure of the liquid cooling system, the liquid cooling system includes a primary side circuit and a secondary side circuit. The primary side circuit and the secondary side circuit achieve heat exchange through a heat exchanger E01. The primary side circuit is used to provide a refrigeration source, and the secondary side circuit is used to complete the refrigeration of the load in the liquid cooling system. A variable frequency water pump (P01, P02) is provided in the secondary side circuit to complete the drive of the cooling medium in the circuit. A number of pressure sensors, temperature sensors and flow sensors are respectively provided in the primary side circuit and the secondary side circuit.

[0033] Preferably, in the liquid cooling system of this embodiment, it includes 10 pressure sensors, 10 temperature sensors and 2 flow sensors.

[0034] Specifically, there are 10 pressure sensors PT01 - PT10 for monitoring the operating pressure parameters of the cooling system. Among them, PT01 and PT02 are installed on the outlet pipelines of water pumps P01 and P02; PT03 and PT04 are installed on the secondary - side water supply pipeline of the cooling system; PT05 and PT06 are installed on the secondary - side return water pipeline of the system; PT07 and PT08 are installed on the primary - side outlet pipeline of the system; PT09 and PT10 are installed on the primary - side inlet pipeline of the system; each pair of pressure sensors is matched and redundant with each other. Manual ball valves V401 - V410 are provided between the sensors and the pipelines to separate the system pipeline from the sensor to be repaired during the online maintenance of the pressure sensor.

[0035] 10 temperature sensors TT01 - TT10 are used to monitor the operating temperature parameters of the cooling system. Among them, TT01 and TT02 are installed on the outlet pipelines of water pumps P01 and P02; TT03 and TT04 are installed on the secondary - side water supply pipeline of the system; TT05 and TT06 are installed on the secondary - side return water pipeline of the system; TT07 and TT08 are installed on the primary - side outlet pipeline of the system; TT09 and TT10 are installed on the primary - side inlet pipeline of the system; the temperature sensors are pairwise matched and redundant with each other. The temperature sensors all adopt sheathed temperature sensors, which are convenient for the online maintenance disassembly and assembly of the temperature sensors and prevent the circulating liquid from leaking from the disassembly port.

[0036] 2 flow sensors are used to monitor the operating flow parameters of the cooling system. Among them, FIT01 is installed on the secondary - side water supply pipeline of the system; FIT02 is installed on the primary - side inlet pipeline of the system.

[0037] The method for comprehensively identifying sensor faults in the liquid - cooled system of this application includes the following steps: Step S1: Data acquisition and conversion step, collecting and converting the feedback data of each sensor, and converting the electrical signals transmitted by each sensor into the actual engineering quantities of the liquid - cooled system.

[0038] Step S1 includes: converting the electrical signals transmitted by each sensor into digital signals, and then scaling the corresponding digital signals proportionally according to the upper and lower limits of the actual engineering quantities to obtain the actual engineering quantities, temperature values, pressure values, and flow values of the system collected by the corresponding sensors.

[0039] Specifically: through the acquisition unit, the electrical signals transmitted by each feedback component, including but not limited to 4 - 20mA current signals and 0 - 10V voltage signals, are converted into digital signals, and then the collected digital signals are scaled proportionally according to the upper and lower limits of the actual engineering quantities to obtain the actual engineering quantities of the system collected by the corresponding sensors.

[0040] Specific conversion can be carried out according to the following calculation formula:

[0041] Among them, y is the actual engineering value required, k1 is the total range of engineering quantity, k2 is the total range of collected digital signals, k3 is the lower limit of collected digital signals, x is the actual collected digital signal, and b is the lower limit of engineering quantity.

[0042] Step S2: Self-learning step, by controlling the variable frequency water pumps in the primary and secondary loops to run in gradients from the lowest allowed frequency to the highest frequency, and running for a preset time at each frequency gradient, and recording the flow rates of the primary and secondary loops and the temperature difference and pressure difference between the inlet and outlet of the variable frequency water pump at each frequency gradient for fault diagnosis and secondary verification.

[0043] Step S3: Alarm parameter setting step, setting alarm parameters related to each sensor as fault pre-identification input. The alarm parameters include: temperature sensor parameters, pressure sensor parameters and flow sensor parameters; the above parameters can be manually modified and adjusted through the human-computer interaction unit.

[0044] Specifically, the temperature sensor parameters include: temperature sensor engineering quantity ultra-high limit THH, temperature sensor engineering quantity high limit TH, temperature sensor engineering quantity ultra-low limit TLL, temperature sensor engineering quantity low limit TL, temperature redundancy deviation value Td, temperature sensor break value Tb, and pump inlet and outlet acceptable relative deviation Timport.

[0045] The pressure sensor parameters include: pressure sensor engineering quantity upper limit PHH, pressure sensor engineering quantity upper limit PH, pressure sensor engineering quantity lower limit PLL, pressure sensor engineering quantity lower limit PL, pressure redundancy deviation value Pd, and pressure sensor break value Pb.

[0046] The flow sensor parameters include: flow sensor engineering quantity ultra-high limit value FHH, flow sensor engineering quantity high limit value FH, flow sensor engineering quantity ultra-low limit value FLL, flow sensor engineering quantity low limit value FL, flow deviation value Fd, and flow sensor break value Fb.

[0047] Step S4: Preliminary judgment of temperature sensor fault, which is completed through heating power calculation, limit value identification and redundant deviation identification.

[0048] Preferably, the calculation of heating power in step S4 is implemented according to the following steps: S411: Historical data storage, the actual engineering quantities converted by each sensor in S1 are recorded and stored in sequence according to preset time intervals.

[0049] S412: Calculate the actual load heating power P of the liquid cooling system based on the historical data recorded in S411:

[0050] Among them, T tis the real-time temperature of the liquid cooling system, T t-1 is the historical temperature recorded by the liquid cooling system at the previous moment, △t is the recording interval of the system temperature historical data, m is the mass of the coolant in the liquid cooling system, and c is the specific heat capacity of the coolant in the system.

[0051] S413: Compare the heating power. Compare the actual load heating power P calculated in S412 with the maximum load heating power P of the liquid cooling system max ; If P ≤ P max , it indicates that the actual load heating power of the system is within the normal range, representing that the acquisition value of the temperature sensor is normal; if P > P max , it indicates that the actual load heating power of the system exceeds the theoretical maximum load heating power, representing that the acquisition value of the temperature sensor may be abnormal; at this time, an initial judgment signal of over-limit heating power will be sent, and the temperature fault secondary verification will be carried out according to step S5.

[0052] Preferably, the limit value identification in step S4 is realized according to the following steps: S421: Alarm for ultra-high limit value. Compare the real-time temperature T collected in S1 t with the ultra-high limit value T of the temperature sensor engineering quantity set in S3 HH . If T t ≥ T HH , an initial judgment signal of ultra-high temperature fault will be sent, and the temperature fault secondary verification will be carried out according to step S5.

[0053] S422: Alarm for high limit value. Compare the real-time temperature T collected in S1 t with the high limit value T of the temperature sensor engineering quantity set in S3 H . If T t ≥ T H , an initial judgment signal of high temperature fault will be sent, and the temperature fault secondary verification will be carried out according to step S5.

[0054] S423: Alarm for low limit value. Compare the real-time temperature T collected in S1 t with the low limit value T of the temperature sensor engineering quantity set in S3 L . If T t ≤ T L , an initial judgment signal of low temperature fault will be sent, and the temperature fault secondary verification will be carried out according to step S5.

[0055] S424: Alarm for ultra-low limit value. Compare the real-time temperature T collected in S1 t with the ultra-low limit value T of the temperature sensor engineering quantity set in S3 LL . If T t ≤ T LL, a preliminary judgment signal of low temperature fault is sent, and secondary verification of temperature fault is carried out according to step S5.

[0056] S425: Disconnection value alarm. According to the real-time temperature T collected in S1 t and the disconnection value T of the temperature sensor set in S3 b are compared. If T t ≥T b , a preliminary judgment signal of temperature disconnection fault is sent, and secondary verification of temperature fault is carried out according to step S5.

[0057] Preferably, the redundant deviation identification in step S4 is implemented according to the following steps: S431: Redundant deviation calculation. According to the actual temperature value calculated in step S1, the difference between paired redundant sensors is calculated by the following formula:

[0058] △T is the actual difference between paired redundant temperature sensors in the liquid cooling system; T1 is the temperature value of one temperature sensor in the paired redundant temperature sensors in the liquid cooling system; T2 is the temperature value of the other temperature sensor in the paired redundant temperature sensors in the liquid cooling system.

[0059] S432. Redundant deviation comparison. The temperature redundant deviation value T set in S3 d deviation value is compared with the actual difference △T calculated in S431. If △T≥T d , a preliminary judgment signal of temperature redundant deviation fault is sent, and secondary verification of temperature fault is carried out according to step S5.

[0060] Step S5: Secondary verification of temperature fault. Specifically, when the preliminary judgment of temperature fault in step S4 is overheating power limit or limit fault, redundant verification is used for secondary judgment; when the preliminary judgment of temperature fault in step S4 is redundant deviation fault, different loop verifications are adopted according to the different installation positions of the faulty temperature sensor, including: pump outlet temperature fault loop verification, supply liquid temperature fault loop verification and return liquid temperature fault loop verification.

[0061] Preferably, the redundant verification process in step S5 includes: According to the data source corresponding to the fault, read the actual temperature value T calculated in S1 of the paired redundant temperature sensor corresponding to the faulty sensor 配 , and then read the actual value T of the faulty temperature 故 , T 故 and T 配 data are used for difference calculation and compared with the temperature redundant deviation value T set in S3 d ; If, |T 故 -T配 |≥T d , the secondary verification result is output as a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to repair; if, |T 故 -T 配 |<T d , the secondary verification result is output as normal, and at the same time, the corresponding fault signal is reset.

[0062] Preferably, the verification process of the pump outlet temperature fault loop in step S5 includes: Receive the current actual speed of the water pump and substitute it into step S2 to obtain the temperature difference △T between the inlet and outlet of the pump at the corresponding speed 进出口 , according to the return water temperature T read in S1 回 , and then add the acceptable relative deviation T set in S3 进出口 , the corresponding theoretical pump outlet temperature under this working condition can be calculated as follows:

[0063] Among them, T 出 is the theoretical pump outlet temperature, T 回 is the current actual return liquid temperature, △T 进出口 is the temperature difference between the inlet and outlet of the pump saved by self-learning at the current water pump speed, T 进出口 is the acceptable relative deviation set in S3; Then, compare the pump outlet temperature T calculated above 出 with the actually collected pump outlet temperature T 出实际 to obtain: If |T 出实际 -T 出 |<T d , the secondary verification result is output as normal, and at the same time, the corresponding fault signal is reset; if |T 出实际 -T 出 |≥T d , the secondary verification result is output as a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to repair.

[0064] Preferably, the verification process of the liquid supply temperature fault loop in step S5 includes: According to the heat balance equations on the primary side and the secondary side, calculate the temperature difference before and after the secondary side heat exchanger as:

[0065] △T 二次 is the temperature difference between the input and output ends of the secondary side of the heat exchanger, F 一次 is the flow value of the primary side of the heat exchanger, c 一次 is the specific heat capacity of the primary side medium of the heat exchanger, △T 一次 is the temperature difference between the input and output ends of the primary side of the heat exchanger, F 二次is the flow value on the secondary side of the heat exchanger, c 二次 is the specific heat capacity of the medium on the secondary side of the heat exchanger; Then, based on the calculated temperature difference △T before and after on the secondary side 二次 and the difference △T between the actually collected pump outlet temperature and the liquid supply temperature 二次实际 are compared to obtain: If |△T 二次 - △T 二次实际 | < T d , then the secondary verification result is output as normal, and at the same time, the corresponding fault signal is reset; If |△T 二次 - △T 二次实际 | ≥ T d , then the secondary verification result is output as a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to repair.

[0066] Preferably, the verification process of the return liquid temperature fault loop in step S5 includes: Read the current return liquid temperature and the liquid supply temperature and compare them. If the return liquid temperature is less than or equal to the liquid supply temperature, then the secondary verification result is output as a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to repair; if the return liquid temperature is greater than the liquid supply temperature, then the three - time verification is carried out using the verification method of the pump outlet temperature fault loop.

[0067] This application realizes the double - fault judgment of the temperature sensor through several temperature sensor judgment methods in steps S4 and S5, thus ensuring the accuracy of the sensor fault judgment, helping to realize the accurate and effective monitoring of the liquid - cooling system, and avoiding the situation that the coolant temperature in the liquid - cooling system does not meet the standard, resulting in high - temperature shutdown or high - temperature damage of the load.

[0068] Furthermore, in the secondary verification judgment process of this application, the upstream and downstream temperature characteristics of each loop of the liquid - cooling system are cleverly utilized to efficiently and accurately realize the secondary fault judgment of the temperature sensor.

[0069] Step S6: Pressure sensor fault judgment, which is completed through limit value identification and comprehensive identification.

[0070] The limit value identification process in step S6 includes: S611: Ultra - high limit value alarm. According to the real - time pressure P collected in S1 t and the ultra - high limit value P of the engineering quantity of the pressure sensor set in S3 HH are compared. If P t ≥ P HH , then a preliminary judgment signal of pressure ultra - high fault is issued, and re - comprehensive identification is carried out; S612: High limit value alarm. According to the real - time pressure P collected in S1 tCompare with the high limit value P of the engineering quantity of the pressure sensor set in S3 H If P t ≥P H , then send out the initial judgment signal of high pressure fault and conduct comprehensive recognition again; S613. Low limit alarm. According to the real-time pressure P collected by S1 t Compare with the low limit value P of the engineering quantity of the pressure sensor set in S3 L If P t ≤P L , then send out the initial judgment signal of low pressure fault and conduct comprehensive recognition again; S614. Ultra-low limit alarm. According to the real-time pressure P collected by S1 t Compare with the ultra-low limit value P of the engineering quantity of the pressure sensor set in S3 LL If P t ≤P LL , then send out the initial judgment signal of ultra-low pressure fault and conduct comprehensive recognition again; S615. Disconnection value alarm. According to the real-time pressure P collected by S1 t Compare with the disconnection value P of the pressure sensor set in S3 b If P t ≥P b , then send out the initial judgment signal of pressure disconnection fault and conduct comprehensive recognition again.

[0071] In step S6, the comprehensive recognition process includes: S621. Read the temperature, flow rate, water pump frequency of the liquid cooling system, and the pressure historical storage value of the redundant pressure sensor paired with the initial fault pressure sensor; S622. Calculate the fluctuation range of the historical storage values of each parameter in S621 within the preset time; S623. Conclusion output: If each parameter fluctuates within the specified range during the fault trigger period, then output the secondary calibration result of the corresponding pressure sensor as a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to repair; If the fluctuation trend of each parameter is consistent with that of the fault sensor during the fault trigger period, then output the secondary calibration result as normal and judge it as a false alarm caused by system fluctuation.

[0072] Step S7: Flow sensor fault judgment. Complete the flow sensor fault judgment through limit value identification and frequency identification.

[0073] Preferably, the limit value identification process in step S7 includes: S711. Ultra-high limit alarm. According to the real-time flow rate F collected by S1 t Compare with the F set in S3HH Compare. If F t ≥F HH , then issue a preliminary judgment signal for ultra-high flow failure and perform secondary verification according to step S721; S712. High limit alarm. According to the real-time flow F collected by S1 t and the F set in S3 H Compare. If F t ≥F H , then issue a preliminary judgment signal for high flow failure and perform secondary verification according to step S721; S713. Low limit alarm. According to the real-time flow F collected by S1 t and the F set in S3 L Compare. If F t ≤F L , then issue a preliminary judgment signal for low flow failure and perform secondary verification according to step S721; S714. Ultra-low limit alarm. According to the real-time flow F collected by S1 t and the F set in S3 LL Compare. If F t ≤F LL , then issue a preliminary judgment signal for ultra-low flow failure and perform secondary verification according to step S721; S715. Disconnection value alarm. According to the real-time flow F collected by S1 t and the F set in S3 b Compare. If F t ≥F b , then issue a preliminary judgment signal for flow disconnection failure and perform secondary verification according to step S721.

[0074] Preferably, the frequency identification process in step S7 is as follows: S721 compares according to the corresponding relationship between the pump frequency and the flow saved by self-learning in step S2 and the actually collected flow. If the absolute value of the difference between the two is greater than Fd, then output the secondary verification result as a failure, and at the same time output the corresponding failure signal to remind the maintenance personnel to repair.

[0075] Step S8: Sensor on-line maintenance step.

[0076] When it is determined that a sensor failure has occurred, if maintenance personnel need to replace the corresponding sensor or the system needs to be regularly maintained and the sensor needs to be replaced, to avoid abnormal system alarms caused by replacing the sensor and affecting the normal operation of the cooling system, the following steps can be taken: Maintenance personnel input the maintenance requirements for the corresponding sensor; after the cooling system receives the maintenance requirements, it shields the initial fault judgment and secondary verification functions of the corresponding required sensor, and uses another redundant paired sensor as the input to enable the cooling system to operate normally; for sensor replacement, if the sensor type is a pressure sensor, the manual ball valve corresponding to the sensor needs to be shut off before replacement; after the sensor replacement is completed, open the corresponding manual ball valve, and after the system parameters read are stable and error-free, cancel the maintenance requirements for the corresponding sensor; restore the initial fault judgment and secondary verification functions of the corresponding required sensor, and the maintenance is completed.

[0077] Embodiment 2 A comprehensive sensor failure identification system in a liquid cooling system. The sensor failure comprehensive identification system uses the sensor failure comprehensive identification method described in Embodiment 1 to identify sensor failures. The sensor failure comprehensive identification system includes: a feedback unit, a collection unit, a control unit, a human-machine interaction unit, an output unit, and an execution unit.

[0078] Among them, the feedback unit is composed of pressure sensors, temperature sensors, and flow sensors arranged in the primary side circuit and the secondary side circuit of the liquid cooling system. That is, 10 pressure sensors PT01 - PT10, 10 temperature sensors TT01 - TT10, and 2 flow sensors FIT01, FIT02.

[0079] The collection unit is used to complete the data collection of the feedback unit and transmit it to the control unit through electrical signals or communication methods.

[0080] The control unit is used to receive the feedback signals collected by the collection unit and identify and output relevant alarm signals to the human-machine interaction unit.

[0081] The human-machine interaction unit is used to realize information interaction with the control unit. It includes but is not limited to touch screens, indicator lights, buttons, etc., and is used to receive operator instructions and issue them. It is connected to the control unit through communication methods or hard wiring methods for data interaction, and is used to display the system alarm information output by the control unit.

[0082] The output unit is used to receive the control instructions of the control unit and output them to the execution unit; The execution unit includes an inverter and a variable frequency water pump. The inverter is connected to the variable frequency water pump to complete the control of the variable frequency water pump. The variable frequency water pump is arranged in the secondary side circuit of the liquid cooling system to realize the driving of the cooling medium in the corresponding circuit.

[0083] Specifically, the variable-frequency water pumps are: variable-frequency water pump P01 and variable-frequency water pump P02, one for standby and the other for operation, serving as backups for each other, and providing power for the liquid circulation on the secondary side of the system. Two inverters are respectively used to receive the rotational speed signals output by the control unit, control the two variable-frequency water pumps to operate at the set rotational speed, and feedback the actual rotational speed of the water pumps and upload it to the control unit.

[0084] In the method and system for comprehensively identifying sensor faults in the liquid cooling system disclosed in this application, on the one hand, it can collect the operating parameters of various temperatures, pressures, and flows in the liquid cooling system, and combine verification strategies such as heating power calculation, limit identification, redundant deviation identification, redundant verification, and loop verification to summarize and comprehensively identify and judge sensor fault problems, effectively improving the overall operation stability of the system, reducing the false alarm probability of system sensor faults, and improving the overall reliability of the system; through the human-machine interaction unit, it collects maintenance and repair requirements, and through the built-in control logic of the control unit, it shields the initial judgment and secondary verification functions of the maintenance sensor faults, preventing abnormal alarms that should not occur in the liquid cooling system during online replacement of sensors, and improving the operation stability of the entire system.

[0085] The above are only the preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent replacements, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. A comprehensive identification method for sensor faults in a liquid cooling system, characterized in that: The liquid cooling system comprises a primary circuit and a secondary circuit, wherein the primary circuit and the secondary circuit realize heat exchange through a heat exchanger, the primary circuit is used to provide a cooling source, the secondary circuit is used to complete the load cooling in the liquid cooling system, and a variable frequency water pump is provided in the secondary circuit to complete the driving of the cooling medium in the circuit, and the primary circuit and the secondary circuit are respectively provided with a plurality of pressure sensors, temperature sensors and flow sensors; The sensor fault comprehensive identification method comprises: S1: Data collection and conversion step, collecting and converting the feedback data of each sensor, and converting the electrical signal transmitted by each sensor into the actual engineering quantity of the liquid cooling system; S2: Self-learning step, by controlling the variable frequency water pump in the primary and secondary loops to run in gradients from the lowest allowed frequency to the highest frequency, and running for a preset time at each frequency gradient, and recording the flow rate of the primary and secondary loops and the temperature difference and pressure difference between the inlet and outlet of the variable frequency water pump at each frequency gradient for fault diagnosis and secondary verification; S3: Alarm parameter setting step, setting the alarm parameters related to each sensor as fault pre-identification input; S4: Preliminary judgment of temperature sensor fault, which is completed through heating power calculation, limit value identification and redundant deviation identification; S5: Temperature fault secondary check, If the temperature fault in step S4 is initially judged to be a heating power over-limit or limit fault, a redundant check method is used for a secondary judgment; When the temperature fault in step S4 is initially determined to be a redundant deviation fault, different circuit checks are used according to different installation positions of the faulty temperature sensor, including: pump outlet temperature fault circuit check, liquid supply temperature fault circuit check and liquid return temperature fault circuit check.

2. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The calculation of heating power in step S4 is implemented according to the following steps: S411: historical data storage, the actual engineering quantity converted by each sensor in S1 is recorded and stored in sequence according to the preset time interval; S412: Calculate the actual load heating power P of the liquid cooling system based on the historical data recorded in S411: Among them, T t is the real-time temperature of the liquid cooling system, T t-1 is the historical temperature recorded at the last moment of the liquid cooling system, △t is the interval for recording the historical data of system temperature, m is the mass of the coolant in the liquid cooling system, and c is the specific heat capacity of the coolant in the system; S413: Compare the heating power by comparing the actual load heating power P calculated in S412 with the maximum load heating power P of the liquid cooling system max Make comparisons; If P≤P max , it means that the actual load heating power of the system is within the normal range, which means that the temperature sensor acquisition value is normal; If P>P max , it means that the actual load heating power of the system exceeds the theoretical maximum load heating power, which means that the value collected by the temperature sensor may be abnormal; at this time, a heating power over-limit initial judgment signal will be issued, and a secondary temperature fault check will be performed according to step S5.

3. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The limit value identification in step S4 is implemented according to the following steps: S421: Over-limit alarm, based on the real-time temperature T collected by S1 t The temperature sensor engineering quantity exceeds the upper limit T set in S3 HH For comparison, if T t ≥T HH , then an initial judgment signal of over-high temperature fault is issued, and a secondary temperature fault check is performed according to step S5; S422: High limit alarm, based on the real-time temperature T collected by S1 t The temperature sensor engineering quantity high limit T set in S3 H For comparison, if T t ≥T H , a high temperature fault initial judgment signal is issued, and a temperature fault secondary check is performed according to step S5; S423: Low limit alarm, based on the real-time temperature T collected by S1 t The temperature sensor engineering quantity lower limit T set in S3 L For comparison, if T t ≤T L , a low temperature fault initial judgment signal is issued, and a temperature fault secondary check is performed according to step S5; S424: Ultra-low limit alarm, based on the real-time temperature T collected by S1 t The temperature sensor engineering quantity set in S3 is lower than the lower limit T LL For comparison, if T t ≤T LL , a low temperature fault initial judgment signal is issued, and a temperature fault secondary check is performed according to step S5; S425: disconnection value alarm, based on the real-time temperature T collected by S1 t The temperature sensor disconnection value T set in S3 b For comparison, if T t ≥T b , a temperature disconnection fault initial judgment signal is issued, and a temperature fault secondary check is performed according to step S5.

4. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The redundant deviation identification in step S4 is implemented according to the following steps: S431: Redundant deviation calculation: According to the actual temperature value calculated in step S1, the paired redundant sensor difference is calculated using the following formula: △T is the actual difference between the temperature pair redundant sensors in the liquid cooling system; T1 is the temperature value of one temperature sensor in the temperature pair redundant sensor in the liquid cooling system; T2 is the temperature value of another temperature sensor in the temperature pair redundant sensor in the liquid cooling system; S432: Redundancy deviation comparison, the temperature redundancy deviation value T set in S3 d The deviation value is compared with the actual difference of △T calculated in S431. If △T ≥ T d , a temperature redundancy deviation fault initial judgment signal is issued, and a temperature fault secondary check is performed according to step S5.

5. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The redundancy check process in step S5 includes: According to the fault corresponding data source, read the actual temperature value T calculated in S1 by the paired redundant temperature sensor corresponding to the fault sensor 配 , and then read the actual value of the fault temperature T 故 , T 故 With T 配 The difference between the data is calculated and the temperature redundancy deviation value T set in S3 is used. d Make comparisons; If, |T 故 -T 配 |≥T d , then the secondary verification result is output as a fault, and the corresponding fault signal is output at the same time to remind the maintenance personnel to repair; if, |T 故 -T 配 |<T d , then the secondary verification result is output as normal, and the corresponding fault signal is reset at the same time.

6. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The pump outlet temperature fault loop verification process in step S5 includes: Receive the actual speed of the water pump and substitute it into step S2 to get the temperature difference △T of the pump inlet and outlet at the corresponding speed. 进出口 , according to the return water temperature T read in S1 回 , plus the acceptable relative deviation T set in S3 进出口 , the theoretical pump outlet temperature corresponding to this working condition can be calculated as follows: Among them, T 出 is the theoretical pump outlet temperature, T 回 is the current actual return liquid temperature, △T 进出口 is the pump inlet and outlet temperature difference saved by self-learning at the current pump speed, T 进出口 is the acceptable relative deviation set in S3; According to the above calculation, the pump outlet temperature T 出 Compared with the actual collected pump outlet temperature T 出实际 By comparison, we can conclude that: if |T 出实际 -T 出 |<T d , the secondary check result is output as normal, and the corresponding fault signal is reset; if |T 出实际 -T 出 |≥T d , then the secondary verification result is output as a fault, and the corresponding fault signal is output at the same time to remind maintenance personnel to repair.

7. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The liquid supply temperature fault circuit verification process in step S5 includes: According to the heat balance equations on the primary and secondary sides, the temperature difference before and after the secondary side heat exchanger is calculated to be: △T 二次 is the temperature difference between the input and output ends of the secondary side of the heat exchanger, F 一次 is the flow rate value of the primary side of the heat exchanger, c 一次 is the specific heat capacity of the medium on the primary side of the heat exchanger, △T 一次 is the temperature difference between the input and output ends of the primary side of the heat exchanger, F 二次 is the secondary flow rate of the heat exchanger, c 二次 is the specific heat capacity of the medium on the secondary side of the heat exchanger; Then according to the calculated temperature difference △T of the secondary side 二次 The difference between the actual sampling pump outlet temperature and the liquid supply temperature △T 二次实际 By comparison, we can conclude that: If |△T 二次 -△T 二次实际 |<T d , then the secondary verification result is output as normal, and the corresponding fault signal is reset at the same time; If |△T 二次 -△T 二次实际 |≥T d , then the secondary verification result is output as a fault, and the corresponding fault signal is output at the same time to remind maintenance personnel to repair.

8. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The return liquid temperature fault loop verification process in step S5 includes: Read the current return liquid temperature and supply liquid temperature and compare them. If the return liquid temperature is less than or equal to the supply liquid temperature, the secondary calibration result is output as a fault, and the corresponding fault signal is output at the same time to remind the maintenance personnel to repair; If the return liquid temperature is greater than the supply liquid temperature, the pump outlet temperature fault loop calibration method is used to perform three calibrations.

9. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: Step S1 includes: converting the electrical signal transmitted by each sensor into a digital signal, and then scaling the corresponding digital signal proportionally according to the upper and lower limits of the actual engineering quantity to obtain the actual engineering quantity of the system collected by the corresponding sensor.

10. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 1, characterized in that: The sensor fault comprehensive identification method also includes: S6: Pressure sensor fault judgment, which is completed through limit value identification and comprehensive identification; S7: Flow sensor fault judgment, through limit value recognition and frequency recognition to complete the flow sensor fault judgment; S8: Sensor online maintenance steps.

11. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 10, characterized in that: The limit value identification process in step S6 includes: S611: Over-limit alarm, based on the real-time pressure P collected by S1 t The pressure sensor engineering quantity exceeding the upper limit P set in S3 HH For comparison, if P t ≥P HH , then an initial judgment signal of over-high pressure fault is issued, and comprehensive identification is performed again; S612: High limit alarm, based on the real-time pressure P collected by S1 t The pressure sensor engineering quantity upper limit P set in S3 H For comparison, if P t ≥P H , then a high pressure fault initial judgment signal is issued and comprehensive identification is performed again; S613, low limit alarm, based on the real-time pressure P collected by S1 t The pressure sensor engineering quantity lower limit P set in S3 L For comparison, if P t ≤P L , then a low pressure fault initial judgment signal is issued and comprehensive identification is performed again; S614, ultra-low limit alarm, based on the real-time pressure P collected by S1 t The pressure sensor engineering quantity is set to the lower limit P in S3. LL For comparison, if P t ≤P LL , then an initial judgment signal of low pressure fault is issued, and comprehensive identification is performed again; S615, disconnection value alarm, based on the real-time pressure P collected by S1 t The pressure sensor disconnection value P set in S3 b For comparison, if P t ≥P b , a preliminary judgment signal of pressure disconnection fault is issued, and comprehensive identification is performed again.

12. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 11, characterized in that: In step S6, the comprehensive identification process includes: S621, reading the temperature, flow rate, water pump frequency of the liquid cooling system, and the historical stored pressure value of the redundant pressure sensor paired with the initial fault pressure sensor; S622, calculating the fluctuation range of the historical storage value of each parameter in S621 within a preset time; S623, Conclusion Output: If the fluctuation of each parameter is within the specified range during the fault trigger period, the secondary calibration result of the corresponding pressure sensor is output as a fault, and the corresponding fault signal is output at the same time to remind the maintenance personnel to repair; If the fluctuation trend of each parameter during the fault trigger period is consistent with that of the fault sensor, the secondary verification result is output as normal and it is judged to be a false alarm caused by system fluctuation.

13. The method for comprehensive identification of sensor failure in a liquid cooling system according to claim 10, characterized in that: The limit value identification process in step S7 includes: S711, over-limit alarm, based on the real-time flow F collected by S1 t The same as the F set in S3 HH For comparison, if F t ≥F HH , then an initial judgment signal of excessive flow rate fault is issued, and a secondary check is performed according to step S721; S712, high limit alarm, based on the real-time flow F collected by S1 t The same as the F set in S3 H For comparison, if F t ≥F H , then a high flow rate fault initial judgment signal is issued, and a secondary check is performed according to step S721; S713, low limit alarm, based on the real-time flow F collected by S1 t The same as the F set in S3 L For comparison, if F t ≤F L , a low flow rate fault initial judgment signal is issued, and a secondary check is performed according to step S721; S714, ultra-low limit alarm, based on the real-time flow F collected by S1 t The same as the F set in S3 LL For comparison, if F t ≤F LL , then an initial judgment signal of low flow rate fault is issued, and a secondary check is performed according to step S721; S715, disconnection value alarm, based on the real-time flow F collected by S1 t The same as the F set in S3 b For comparison, if F t ≥F b , a flow disconnection fault initial judgment signal is issued, and a secondary check is performed according to step S721; The frequency identification process in step S7 includes: S721: According to the correspondence between the pump frequency and flow rate saved by self-learning in step S2, the actual collected flow rate is compared. If the absolute value of the difference between the two is greater than Fd, the secondary verification result is output as a fault, and the corresponding fault signal is output at the same time to remind maintenance personnel to repair.

14. A comprehensive sensor fault identification system in a liquid cooling system, characterized in that: The sensor fault comprehensive identification system adopts the sensor fault comprehensive identification method according to any one of claims 1 to 13 to perform sensor fault identification, and the sensor fault comprehensive identification system comprises: A feedback unit, the feedback unit is composed of pressure sensors, temperature sensors and flow sensors arranged in the primary side circuit and the secondary side circuit of the liquid cooling system; A collection unit, used to complete data collection of the feedback unit; A control unit, used to receive the feedback signal collected by the collection unit, and identify and output the relevant alarm signal to the human-computer interaction unit; A human-computer interaction unit, used to realize information interaction with the control unit; An output unit, used for receiving control instructions from the control unit and outputting them to the execution unit; The execution unit includes a frequency converter and a variable frequency water pump. The variable frequency water pump is arranged in the secondary side circuit of the liquid cooling system to realize the driving of the cooling medium in the corresponding circuit.

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