A Comprehensive Sensor Fault Identification Method and System in a Liquid Cooling System

Abstract

The present application discloses a method and system for comprehensive identification of sensor failures in a liquid cooling system, belonging to the field of CDU in data centers, including: S1: Data acquisition and conversion step; S2: Self-learning step, recording the flow rates of the primary side loop and the secondary side loop and the temperature difference and pressure difference between the inlet and outlet of the variable frequency water pump at each frequency gradient for fault judgment and secondary verification; S3: Alarm parameter setting step; S4: Preliminary judgment of temperature sensor failure, completing the preliminary judgment of temperature sensor failure through heat generation power calculation, limit value identification, and redundant deviation identification; S5: Secondary verification of temperature failure, if the preliminary judgment of temperature failure in step S4 is a heat generation power overlimit or limit value failure, a redundant verification method is used for secondary judgment; when the preliminary judgment of temperature failure in step S4 is a redundant deviation failure, different loop verifications are adopted according to the different installation positions of the faulty temperature sensor. It solves the problem of system abnormal alarm caused by only single sensor alarm identification and online maintenance in the prior art.

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 key role. And as the cold quantity distribution unit of the data center, CDU plays a crucial role in the normal operation of the data center. At present, the main configuration of CDU is a multi-sensor redundancy scheme, and these sensors play an indispensable role in the normal operation of CDU. The current CDU system only alarms for single sensor limit values and detects wire breaks, and does not collect and summarize the data of redundant sensors and associated loop sensors for comprehensive identification and judgment, so the redundant configuration does not play its due role; and single sensor alarms will affect the stability of system operation, increase the probability of false alarms, and reduce the reliability of the overall system. 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 redundant configuration of system sensors 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 disclose a method and system for comprehensively identifying sensor faults in a liquid cooling system to solve the problems of only single sensor alarm identification and system abnormal alarms caused by online maintenance in the existing technology, 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:

[0006] 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 plurality of pressure sensors, temperature sensors and flow sensors are respectively provided in the primary side loop and the secondary side loop;

[0007] The sensor fault comprehensive identification method includes:

[0008] S1: Data acquisition and conversion step, collect and convert the feedback data of each sensor, and convert the electrical signals transmitted by each sensor into the actual engineering quantities of the liquid cooling system;

[0009] S2: Self-learning step, by controlling the variable-frequency water pumps in the primary circuit and the secondary circuit to operate in gradients from the allowable minimum frequency to the maximum frequency, and operating for a preset time at each frequency gradient, and recording the flow rates of the primary circuit and the secondary circuit and the temperature difference and pressure difference between the inlet and outlet of the variable-frequency water pumps at each frequency gradient for fault judgment and secondary verification;

[0010] S3: Alarm parameter setting step, set the relevant alarm parameters of each sensor as the input for pre-identifying faults;

[0011] 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;

[0012] S5: Secondary verification of temperature faults,

[0013] 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;

[0014] When the initial judgment of temperature faults in step S4 is a redundant deviation fault, different loop verifications are performed 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.

[0015] According to a preferred embodiment, the heat generation power calculation in step S4 is implemented according to the following steps:

[0016] S411: Historical data storage, sequentially record and store the actual engineering quantities converted by each sensor in S1 at preset time intervals;

[0017] S412: According to the historical data recorded in S411, calculate the actual load heat generation power P of the liquid cooling system:

[0018]

[0019] 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 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;

[0020] 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;

[0021] 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;

[0022] 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 a secondary verification of temperature faults will be carried out according to step S5.

[0023] According to a preferred embodiment, the limit value identification in step S4 is realized according to the following steps:

[0024] 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 , an initial judgment signal of ultra-high temperature fault will be sent, and a secondary verification of temperature faults will be carried out according to step S5;

[0025] 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 , an initial judgment signal of high temperature fault will be sent, and a secondary verification of temperature faults will be carried out according to step S5;

[0026] 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 , an initial judgment signal of low temperature fault will be sent, and a secondary verification of temperature faults will be carried out according to step S5;

[0027] 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 , an initial judgment signal of low temperature fault will be sent, and a secondary verification of temperature faults will be carried out according to step S5;

[0028] 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 ≥ Tb If so, a preliminary judgment signal of temperature disconnection fault is sent out, and the secondary verification of temperature fault is carried out according to step S5.

[0029] According to a preferred embodiment, the redundant deviation identification in step S4 is implemented according to the following steps:

[0030] 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:

[0031]

[0032] △T is the actual difference between paired redundant temperature sensors in the liquid cooling system;

[0033] T1 is the temperature value of one temperature sensor in the paired redundant temperature sensors in the liquid cooling system;

[0034] T2 is the temperature value of the other temperature sensor in the paired redundant temperature sensors in the liquid cooling system;

[0035] S432: Redundant deviation comparison. Compare the temperature redundant deviation value T d set in S3 with the actual difference △T calculated in S431. If △T≥T d If so, a preliminary judgment signal of temperature redundant deviation fault is sent out, and the secondary verification of temperature fault is carried out according to step S5.

[0036] According to a preferred embodiment, the redundant verification process in step S5 includes:

[0037] According to the data source corresponding to the fault, read the actual temperature value T 配 calculated in S1 of the paired redundant temperature sensor corresponding to the faulty sensor, and then read the actual value T 故 of the fault temperature. T 故 and T 配 are used for difference calculation and compared with the temperature redundant deviation value T d set in S3;

[0038] If, |T 故 -T 配 |≥T d If so, 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 If so, the secondary verification result is output as normal, and at the same time, the corresponding fault signal is reset.

[0039] According to a preferred embodiment, the verification process of the pump outlet temperature fault loop in step S5 includes:

[0040] Receive the current actual speed of the water pump, and substitute it into step S2 to obtain the temperature difference ΔT 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:

[0041]

[0042] Among them, T 出 is the theoretical pump outlet temperature, T 回 is the current actual return liquid temperature, ΔT 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;

[0043] Then, based on the pump outlet temperature T calculated above 出 and the actually collected pump outlet temperature T 出实际 are compared to obtain: If |T 出实际 -T 出 | < T d , then the output of the secondary verification result is normal, and at the same time, the corresponding fault signal is reset; if |T 出实际 -T 出 | ≥ T d , then the output of the secondary verification result is a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to repair.

[0044] According to a preferred embodiment, the verification process of the liquid supply temperature fault loop in step S5 includes:

[0045] According to the heat balance equations on the primary and secondary sides, calculate the temperature difference before and after the secondary side heat exchanger as:

[0046]

[0047] ΔT 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, ΔT 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 secondary side medium of the heat exchanger;

[0048] Then, based on the calculated temperature difference ΔT before and after the secondary side 二次 and the difference ΔT between the actually collected pump outlet temperature and the liquid supply temperature 二次实际Compare to obtain:

[0049] If |ΔT 二次 - ΔT 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;

[0050] If |ΔT 二次 - ΔT 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.

[0051] According to a preferred embodiment, the process of verifying the return liquid temperature fault loop in step S5 includes:

[0052] Read the current return liquid temperature and supply liquid temperature and compare them,

[0053] If the return liquid temperature is less than or equal to the supply liquid 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;

[0054] If the return liquid temperature is greater than the supply liquid temperature, then perform a three - time verification using the pump outlet temperature fault loop verification method.

[0055] 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 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.

[0056] According to a preferred embodiment, the sensor fault comprehensive identification method further includes:

[0057] S6: Pressure sensor fault judgment, completing the pressure sensor fault judgment through limit value identification and comprehensive identification;

[0058] S7: Flow sensor fault judgment, completing the flow sensor fault judgment through limit value identification and frequency identification;

[0059] S8: Sensor on - line maintenance steps.

[0060] According to a preferred embodiment, the limit value identification process in step S6 includes:

[0061] S611: Ultra - high limit value alarm. According to the real - time pressure P t collected in S1 and the ultra - high limit value P HH of the engineering quantity of the pressure sensor set in S3, if P t ≥ P HH , then send out a preliminary judgment signal of pressure ultra - high fault and perform a re - comprehensive identification;

[0062] S612: High limit alarm. Based on the real-time pressure P collected by S1 t compare 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;

[0063] S613: Low limit alarm. Based on 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;

[0064] S614: Ultra-low limit alarm. Based on 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;

[0065] S615: Disconnection value alarm. Based on 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.

[0066] According to a preferred embodiment, in step S6, the comprehensive recognition process includes:

[0067] 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;

[0068] S622: Calculate the fluctuation range of the historical storage values of each parameter in S621 within a preset time;

[0069] S623: Conclusion output:

[0070] 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;

[0071] 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] According to a preferred embodiment, the limit value identification process in step S7 includes:

[0073] S711. Ultra-high limit value alarm. Compare the real-time flow rate F collected in S1 t with the F set in S3 HH . If F t ≥F HH , then send out a preliminary judgment signal of high flow rate fault and perform secondary verification according to step S721;

[0074] S712. High limit value alarm. Compare the real-time flow rate F collected in S1 t with the F set in S3 H . If F t ≥F H , then send out a preliminary judgment signal of high flow rate fault and perform secondary verification according to step S721;

[0075] S713. Low limit value alarm. Compare the real-time flow rate F collected in S1 t with the F set in S3 L . If F t ≤F L , then send out a preliminary judgment signal of low flow rate fault and perform secondary verification according to step S721;

[0076] S714. Ultra-low limit value alarm. Compare the real-time flow rate F collected in S1 t with the F set in S3 LL . If F t ≤F LL , then send out a preliminary judgment signal of ultra-low flow rate fault and perform secondary verification according to step S721;

[0077] S715. Disconnection value alarm. Compare the real-time flow rate F collected in S1 t with the F set in S3 b . If F t ≥F b , then send out a preliminary judgment signal of flow rate disconnection fault and perform secondary verification according to step S721;

[0078] The frequency identification process in step S7 includes:

[0079] S721: According to the corresponding relationship between the water pump frequency and the flow rate saved by self-learning in step S2, compare it 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.

[0080] On the other hand, the present application also discloses:

[0081] A comprehensive sensor fault identification system in a liquid cooling system. The comprehensive sensor fault identification system uses the aforementioned sensor fault comprehensive identification method to identify sensor faults. The comprehensive sensor fault identification system includes:

[0082] 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;

[0083] An acquisition unit for completing data acquisition of the feedback unit;

[0084] A control unit for receiving the feedback signals collected by the acquisition unit and identifying and outputting relevant alarm signals to the human-machine interaction unit;

[0085] A human-machine interaction unit for realizing information interaction with the control unit;

[0086] An output unit for receiving the control instructions of the control unit and outputting them to the execution unit;

[0087] An execution unit, which includes an inverter 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.

[0088] 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.

[0089] Advantages of the present application:

[0090] The comprehensive sensor fault identification method and system in the liquid cooling system disclosed in the present application can, on the one hand, collect the operating parameters of temperature, pressure and flow in the liquid cooling system, and combine verification strategies such as heat generation power calculation, limit value 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, 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 to prevent abnormal alarms that should not occur in the liquid cooling system during on-line replacement of sensors, and improve the operation stability of the entire system. Description of the Drawings

[0091] Figure 1 It is a schematic diagram of the structure of the liquid cooling system of the present application;

[0092] Figure 2 It is a schematic flow diagram of the comprehensive sensor fault identification method of this application;

[0093] Figure 3 It is a schematic structural diagram of the comprehensive sensor fault identification system of this application. Specific embodiments

[0094] The following uses specific specific examples to 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. 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.

[0095] It should be noted that: Similar reference numerals and letters represent 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.

[0096] 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 when in 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 to 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.

[0097] In addition, the terms "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.

[0098] In the description of this application, it should also be noted that unless otherwise clearly specified and limited, 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 can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific situations.

[0099] In addition, this application points out that in this application, if the specific structures, connection relationships, positional relationships, power source relationships, etc. involved are not specifically described, the structures, connection relationships, positional relationships, power source relationships, etc. involved in this application can be known to those skilled in the art on the basis of the prior art without creative labor.

[0100] Embodiment

[0101] Reference Figure 1 As shown Figure 1 shows a schematic diagram of the principle structure of a 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 cooling of the load in the liquid cooling system. A variable frequency water pump (P01, P02) is provided in the secondary side circuit to drive 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.

[0102] Preferably, the liquid cooling system in this embodiment includes 10 pressure sensors, 10 temperature sensors and 2 flow sensors.

[0103] Specifically, 10 pressure sensors PT01-PT10 are used to monitor 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 pipelines from the sensors to be repaired during the online maintenance of the pressure sensors.

[0104] 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 matched and redundant with each other. The temperature sensors all adopt sheathed temperature sensors, which are convenient for the online maintenance disassembly and installation of the temperature sensors and prevent the circulating liquid from leaking from the disassembly port.

[0105] Two flow sensors are used to monitor the cooling system's operating flow parameters. FIT01 is installed on the system's secondary water supply line, while FIT02 is installed on the system's primary water inlet line.

[0106] The method for comprehensively identifying sensor faults in the liquid cooling system of the present application comprises the following steps:

[0107] 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 quantity of the liquid cooling system.

[0108] 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 quantity to obtain the actual system engineering quantity and temperature, pressure and flow values collected by the corresponding sensors.

[0109] Specifically: the electrical signals transmitted by each feedback element, including but not limited to 4-20mA current signals and 0-10V voltage signals, are converted into digital signals through the acquisition unit, and then the acquired digital signals are scaled proportionally according to the upper and lower limits of the actual engineering quantity to obtain the actual engineering quantity of the system acquired by the corresponding sensor.

[0110] The conversion can be done according to the following calculation formula:

[0111]

[0112] Among them, y is the actual engineering value to be calculated, k1 is the total engineering quantity range, k2 is the total acquisition digital signal range, k3 is the lower limit of the acquisition digital signal, x is the actual acquisition digital signal, and b is the lower limit of the engineering quantity.

[0113] 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 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 under each frequency gradient for fault diagnosis and secondary verification.

[0114] Step S3: Alarm parameter setting step, setting the alarm parameters of 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.

[0115] 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.

[0116] The parameters of the pressure sensor include: the ultra-high limit value PHH of the engineering quantity of the pressure sensor, the high limit value PH of the engineering quantity of the pressure sensor, the ultra-low limit value PLL of the engineering quantity of the pressure sensor, the low limit value PL of the engineering quantity of the pressure sensor, the pressure redundancy deviation value Pd, and the disconnection value Pb of the pressure sensor.

[0117] The parameters of the flow sensor include: the ultra-high limit value FHH of the engineering quantity of the flow sensor, the high limit value FH of the engineering quantity of the flow sensor, the ultra-low limit value FLL of the engineering quantity of the flow sensor, the low limit value FL of the engineering quantity of the flow sensor, the flow deviation value Fd, and the disconnection value Fb of the flow sensor.

[0118] Step S4: Preliminary judgment of the temperature sensor failure. The preliminary judgment of the temperature sensor failure is completed through the calculation of the heating power, the identification of the limit value, and the identification of the redundancy deviation.

[0119] Preferably, the calculation of the heating power in step S4 is implemented according to the following steps:

[0120] S411: Historical data storage. The actual engineering quantities after conversion of each sensor in S1 are sequentially recorded and stored at a preset time interval.

[0121] S412: According to the historical data recorded in S411, calculate the actual load heating power P of the liquid cooling system:

[0122]

[0123] where, T t is the real-time temperature of the liquid cooling system, T t-1 is the historical temperature recorded at the previous moment of the liquid cooling system, △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.

[0124] S413: Comparison of the heating power. Compare the actual load heating power P calculated in S412 with the maximum load heating power P max of the liquid cooling system;

[0125] If, P ≤ P max , it means that the actual load heating power of the system is within the normal range, indicating that the acquisition value of the temperature sensor is normal; if, P > P max , it means that the actual load heating power of the system exceeds the theoretical maximum load heating power, indicating that the acquisition value of the temperature sensor may be abnormal; at this time, a preliminary judgment signal of the over-limit heating power will be sent, and the temperature fault secondary verification will be carried out according to step S5.

[0126] Preferably, the identification of the limit value in step S4 is implemented according to the following steps:

[0127] S421: Ultra-high limit alarm. Based on the real-time temperature T collected in S1 t compare with the ultra-high limit value T of the temperature sensor engineering quantity set in S3 HH If T t ≥T HH , then send out the initial judgment signal of temperature ultra-high fault, and perform the secondary verification of temperature fault according to step S5.

[0128] S422: High limit alarm. Based on the real-time temperature T collected in S1 t compare with the high limit value T of the temperature sensor engineering quantity set in S3 H If T t ≥T H , then send out the initial judgment signal of temperature high fault, and perform the secondary verification of temperature fault according to step S5.

[0129] S423: Low limit alarm. Based on the real-time temperature T collected in S1 t compare with the low limit value T of the temperature sensor engineering quantity set in S3 L If T t ≤T L , then send out the initial judgment signal of temperature low fault, and perform the secondary verification of temperature fault according to step S5.

[0130] S424: Ultra-low limit alarm. Based on the real-time temperature T collected in S1 t compare with the ultra-low limit value T of the temperature sensor engineering quantity set in S3 LL If T t ≤T LL , then send out the initial judgment signal of temperature low fault, and perform the secondary verification of temperature fault according to step S5.

[0131] S425: Disconnection value alarm. Based on the real-time temperature T collected in S1 t compare with the disconnection value T of the temperature sensor set in S3 b If T t ≥T b , then send out the initial judgment signal of temperature disconnection fault, and perform the secondary verification of temperature fault according to step S5.

[0132] Preferably, the redundant deviation identification in step S4 is implemented according to the following steps:

[0133] S431: Redundant deviation calculation. Based on the actual temperature value calculated in step S1, calculate the paired redundant sensor difference using the following formula:

[0134]

[0135] △T is the actual difference of the temperature paired redundant sensors in the liquid cooling system; T1 is the temperature value of one of the temperature paired redundant sensors in the liquid cooling system; T2 is the temperature value of the other temperature paired redundant sensor in the liquid cooling system.

[0136] S432. Redundancy deviation comparison. Compare the temperature redundancy deviation value T d set in S3 with the actual difference △T calculated in S431. If △T ≥ T d , then send out the initial judgment signal of the temperature redundancy deviation fault and perform the secondary verification of the temperature fault according to step S5.

[0137] Step S5: Secondary verification of the temperature fault. Specifically, when the initial judgment of the temperature fault in step S4 is that the heating power exceeds the limit or the limit value fault, a redundant verification method is used for the secondary judgment; when the initial judgment of the temperature fault 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: pump outlet temperature fault loop verification, supply liquid temperature fault loop verification, and return liquid temperature fault loop verification.

[0138] Preferably, the redundant verification process in step S5 includes:

[0139] According to the data source corresponding to the fault, read the actual temperature value T 配 calculated in S1 of the paired redundant temperature sensor corresponding to the faulty sensor, and then read the actual value T 故 of the faulty temperature, T 故 and T 配 perform a difference calculation on the data and compare it with the temperature redundancy deviation value T d set in S3;

[0140] 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.

[0141] Preferably, the pump outlet temperature fault loop verification process in step S5 includes:

[0142] Receive the current actual speed of the water pump, substitute it into step S2 to obtain the temperature difference △T 进出口 between the inlet and outlet of the pump at the corresponding speed, and according to the return water temperature T 回 read in S1, and then add the acceptable relative deviation T 进出口, the corresponding theoretical pump outlet temperature under this working condition can be calculated as follows:

[0143]

[0144] 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;

[0145] Then, based on the pump outlet temperature T 出 calculated above and the actually collected pump outlet temperature T 出实际 are compared to obtain: If |T 出实际 - T 出 | < T d , the output of the secondary verification result is normal, and the corresponding fault signal is reset at the same time; if |T 出实际 - T 出 | ≥ T d , the output of the secondary verification result is a fault, and the corresponding fault signal is output at the same time to remind the maintenance personnel to repair.

[0146] Preferably, the verification process of the liquid supply temperature fault loop in step S5 includes:

[0147] 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 as:

[0148]

[0149] △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;

[0150] 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 are compared to obtain:

[0151] If |△T 二次 - △T 二次实际 | < T d , the output of the secondary verification result is normal, and the corresponding fault signal is reset at the same time;

[0152] If |△T 二次 -△T 二次实际 |≥T d , 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.

[0153] Preferably, the verification process of the return liquid temperature fault loop in step S5 includes:

[0154] 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 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 the return liquid temperature is greater than the supply liquid temperature, the three - time verification is carried out by using the verification method of the pump outlet temperature fault loop.

[0155] Through several temperature sensor judgment methods in steps S4 and S5, this application realizes the dual - fault judgment of temperature sensors, thus ensuring the accuracy of sensor fault judgment, contributing to 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.

[0156] 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 temperature sensors.

[0157] Step S6: Pressure sensor fault judgment, which is completed through limit value identification and comprehensive identification.

[0158] The limit value identification process in step S6 includes:

[0159] 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 pressure ultra - high fault is sent, and re - comprehensive identification is carried out;

[0160] 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 pressure high fault is sent, and re - comprehensive identification is carried out;

[0161] 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 S3L Compare. If P t ≤P L , then send out the initial judgment signal of low - pressure fault and conduct comprehensive recognition again;

[0162] S614. Ultra - low limit alarm. According to the real - time pressure P collected by S1 t and the ultra - low engineering quantity limit value P of the pressure sensor set in S3 LL Compare. If P t ≤P LL , then send out the initial judgment signal of ultra - low - pressure fault and conduct comprehensive recognition again;

[0163] S615. Disconnection value alarm. According to the real - time pressure P collected by S1 t and the disconnection value P of the pressure sensor set in S3 b Compare. If P t ≥P b , then send out the initial judgment signal of pressure disconnection fault and conduct comprehensive recognition again.

[0164] In step S6, the comprehensive recognition process includes:

[0165] 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;

[0166] S622. Calculate the fluctuation range of the historical storage values of each parameter in S621 within a preset time;

[0167] S623. Conclusion output:

[0168] If each parameter fluctuates within the specified range during the fault - triggering 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;

[0169] If the fluctuation trend of each parameter is consistent with that of the fault sensor during the fault - triggering period, then output the secondary calibration result as normal, and judge it as a false alarm caused by system fluctuation.

[0170] Step S7: Flow - sensor fault judgment. Complete the flow - sensor fault judgment through limit - value identification and frequency identification.

[0171] Preferably, the limit - value identification process in step S7 includes:

[0172] S711. Ultra - high limit alarm. According to the real - time flow rate F collected by S1 t and the F set in S3 HH Compare. If F t ≥F HH, a preliminary judgment signal of ultra-high flow failure is sent, and secondary verification is carried out according to step S721;

[0173] S712. High limit alarm. According to the real-time flow rate F collected by S1 t and the F set in S3 H are compared. If F t ≥F H , a preliminary judgment signal of high flow failure is sent, and secondary verification is carried out according to step S721;

[0174] S713. Low limit alarm. According to the real-time flow rate F collected by S1 t and the F set in S3 L are compared. If F t ≤F L , a preliminary judgment signal of low flow failure is sent, and secondary verification is carried out according to step S721;

[0175] S714. Ultra-low limit alarm. According to the real-time flow rate F collected by S1 t and the F set in S3 LL are compared. If F t ≤F LL , a preliminary judgment signal of ultra-low flow failure is sent, and secondary verification is carried out according to step S721;

[0176] S715. Disconnection value alarm. According to the real-time flow rate F collected by S1 t and the F set in S3 b are compared. If F t ≥F b , a preliminary judgment signal of flow disconnection failure is sent, and secondary verification is carried out according to step S721.

[0177] Preferably, the frequency identification process in step S7 is as follows: S721 compares the corresponding relationship between the pump frequency and the flow rate saved by self-learning in step S2 with the actually collected flow rate. If the absolute value of the difference between the two is greater than Fd, the secondary verification result is output as a failure, and at the same time, the corresponding failure signal is output to remind the maintenance personnel to repair.

[0178] Step S8: Sensor on-line maintenance step.

[0179] 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 executed: 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 removal and replacement, if the sensor type is a pressure sensor, the manual ball valve corresponding to the sensor needs to be closed before the removal and replacement operation; 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.

[0180] Embodiment 2

[0181] A comprehensive sensor failure identification system in a liquid cooling system. The comprehensive sensor failure identification system uses the sensor failure identification method described in Embodiment 1 to identify sensor failures. The comprehensive sensor failure identification system includes: a feedback unit, a collection unit, a control unit, a human-machine interaction unit, an output unit, and an execution unit.

[0182] Among them, the feedback unit is composed of pressure sensors, temperature sensors, and flow sensors provided 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 and FIT02.

[0183] 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.

[0184] 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.

[0185] 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.

[0186] The output unit is used to receive the control instructions of the control unit and output them to the execution unit;

[0187] 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.

[0188] 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.

[0189] In the method and system for comprehensively identifying 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 summary 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.

[0190] 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 includes a primary side circuit and a secondary side circuit. The primary side circuit and the secondary side circuit perform heat exchange through a heat exchanger. 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 is provided in the secondary side circuit to drive 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; The comprehensive sensor fault identification method includes: S1: Data acquisition and conversion step, collect and convert the feedback data of each sensor, and convert the electrical signals transmitted by each sensor into the actual engineering quantities of the liquid cooling system; S2: Self-learning step, control the variable frequency water pumps in the primary side circuit and the secondary side circuit to operate in gradients from the allowable minimum frequency to the maximum frequency, and operate for a preset time at each frequency gradient, and record the flow rates of the primary side circuit and the secondary side circuit and the temperature difference and pressure difference between the inlet and outlet of the variable frequency water pump at each frequency gradient 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: Preliminary judgment of temperature sensor faults, complete the preliminary 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 preliminary judgment of temperature faults in step S4 is that the heat generation power exceeds the limit or the limit value fault, a redundant verification method is used for secondary judgment; When the preliminary 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 of the pump outlet temperature fault, loop verification of the liquid supply temperature fault, and loop verification of the return liquid temperature fault; The comprehensive sensor fault identification method further includes: S6: Pressure sensor fault judgment, complete the pressure sensor fault judgment through limit value identification and comprehensive identification; In step S6, the comprehensive identification process includes: S621: Read the historical storage values of the temperature, flow rate, water pump frequency of the liquid cooling system, and the pressure of the redundant pressure sensor paired with the initial faulty pressure sensor; 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 verification 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 faulty sensor during the fault trigger period, output the secondary verification result as normal, and judge it as a false alarm caused by system fluctuation; S7: Flow sensor fault judgment, complete the flow sensor fault judgment through limit value identification and frequency identification; S8: Sensor online maintenance step; Online maintenance of sensors includes: maintenance personnel input the maintenance requirements for the corresponding sensors; after the cooling system receives the maintenance requirements, it shields the initial fault judgment and secondary verification functions of the corresponding required sensors, and uses another redundant paired sensor as the input to ensure the normal operation of the cooling system; sensor replacement, when the sensor type is a pressure sensor, the manual ball valve corresponding to the sensor needs to be closed 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 sensors; restore the initial fault judgment and secondary verification functions of the corresponding required sensors, and the maintenance is completed.

2. The method for comprehensive identification of sensor faults in the liquid cooling system according to claim 1, wherein, The calculation of the heating power in step S4 is achieved according to the following steps: S411: Historical data storage, the actual engineering quantities converted by each sensor in S1 are sequentially recorded and stored at a preset time interval. S412: According to the historical data recorded in S411, calculate the actual load heating power P of the liquid cooling system. Among them, 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 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; S413: Comparison of 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 Make a comparison; 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, which means 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 will be verified for the second time according to step S5.

3. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, wherein, The limit identification in step S4 is achieved according to the following steps: S421: Ultra-high limit alarm. According to the real-time temperature T collected in S1 t and the ultra-high limit value T of the engineering quantity of the temperature sensor set in S3 HH are compared. If T t ≥T HH , a preliminary judgment signal of temperature ultra-high fault is sent, and the secondary verification of temperature fault is carried out according to step S5; S422: High limit alarm, based on the real-time temperature T collected by S1 t and the high engineering quantity limit value T of the temperature sensor set in S3 H are compared. If T t ≥T H , then a preliminary judgment signal of high temperature fault is sent, and the temperature fault is verified again according to step S5; S423: Low limit alarm. Based on the real-time temperature T collected by S1 t and the low engineering quantity limit value T of the temperature sensor set in S3 L are compared. If T t ≤T L , a preliminary judgment signal of low temperature fault is sent, and the secondary verification of temperature fault is carried out according to step S5; S424: Ultra-low limit alarm, based on the real-time temperature T collected in S1 t and the ultra-low limit value T of the engineering quantity of the temperature sensor set in S3 LL are compared. If T t ≤T LL , a preliminary judgment signal of low temperature fault is sent, and the secondary verification of temperature fault is carried out according to step S5; S425: Disconnection value alarm. According to the real-time temperature T collected by 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 the secondary verification of temperature fault is carried out according to step S5.

4. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, characterized in that The redundant deviation identification in step S4 is achieved according to the following steps: S431: Redundant deviation calculation, according to the actual temperature value calculated in step S1, use the following formula to calculate the difference of the paired redundant sensors: △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 in the liquid cooling system; T2 is the temperature value of the other temperature sensor in the temperature paired redundant sensors in the liquid cooling system; S432: Redundancy deviation comparison. Compare the temperature redundancy deviation value T d set in S3 with the actual difference △T calculated in S431. If △T ≥ T d , a preliminary determination signal of temperature redundancy deviation failure is issued, and secondary verification of temperature failure is carried out according to step S5.

5. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, wherein The redundant verification process in step S5 includes: According to the data source corresponding to the fault, read the actual temperature value T calculated by the paired redundant temperature sensor corresponding to the faulty sensor in S1 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 d set in S3; If, |T 故 -T 配 | ≥ T d , then the output of the secondary verification result is a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to perform maintenance; if, |T 故 -T 配 | < T d , then the output of the secondary verification result is normal, and at the same time, the corresponding fault signal is reset.

6. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, wherein The pump outlet temperature fault loop verification process 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 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 temperature difference between the pump inlet and outlet saved through self-learning at the current pump speed, T 进出口 is the acceptable relative deviation set in S3; According to the pump outlet temperature T calculated above 出 and the actually collected pump outlet temperature T 出实际 are compared to obtain: If |T 出实际 - T 出 | < T d , then the output of the secondary verification result is normal, and at the same time the corresponding fault signal is reset; if |T 出实际 - T 出 | ≥ T d , then the output of the secondary verification result is a fault, and at the same time the corresponding fault signal is output to remind the maintenance personnel to perform maintenance.

7. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, wherein The supply liquid temperature fault loop verification process in step S5 includes: According to the heat balance equations on the primary side and the secondary side, the temperature difference before and after the secondary side heat exchanger is calculated as: △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 flow rate 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; According to the calculated temperature difference △T before and after the secondary side 二次 Compare it with the difference △T between the actually collected pump outlet temperature and the liquid supply temperature 二次实际 Make a comparison and obtain: If |△T 二次 -△T 二次实际 | < T d , then the output of the secondary verification result is normal, and at the same time the corresponding fault signal is reset; If |△T 二次 -△T 二次实际 |≥T d , the output of the secondary verification result is a fault, and at the same time, the corresponding fault signal is output to remind the maintenance personnel to perform maintenance.

8. The method for comprehensive identification of sensor faults in the 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, output the secondary verification result as a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to perform maintenance. If the return liquid temperature is greater than the supply liquid temperature, use the pump outlet temperature fault loop verification method for three - time verification.

9. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, wherein 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 of the system collected by the corresponding sensors.

10. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, characterized in that, The limit identification process in step S6 includes: S611: Ultra-high limit alarm, based on the real-time pressure P collected by 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 pressure ultra-high fault is sent, and comprehensive identification is carried out again; S612: High limit alarm, based on the real-time pressure P collected by 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 a comprehensive re-identification is carried out; S613. Low limit alarm. Based on the real-time pressure P collected by 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 a comprehensive re-identification is carried out; S614. Ultra-low limit alarm. According to the real-time pressure P collected by S1 t and the ultra-low engineering quantity limit value P 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. Alarm for wire break value. According to the real-time pressure P collected by S1 t and the wire break value P of the pressure sensor set in S3 b are compared. If P t ≥P b , a preliminary judgment signal for pressure wire break fault is sent out, and re-comprehensive identification is carried out.

11. The method for comprehensively identifying sensor faults in the liquid cooling system according to claim 1, characterized in that, The limit identification process in step S7 includes: S711. Ultra-high limit alarm. According to the real-time flow rate F collected by S1 t and the ultra-high limit value F of the engineering quantity of the flow sensor set in S3 HH are compared. If F t ≥F HH , a preliminary judgment signal of flow rate ultra-high fault is sent, and secondary verification is carried out according to step S721; S712. High limit alarm. According to the real-time flow rate F collected by S1 t and the high engineering quantity limit value F of the flow sensor set in S3 H are compared. If F t ≥F H , a preliminary judgment signal of high flow rate fault is sent, and secondary verification is carried out according to step S721; S713. Low limit alarm. Based on the real-time flow rate F collected by S1 t and the low limit value F of the engineering quantity of the flow sensor set in S3 L are compared. If F t ≤F L , a preliminary judgment signal of low flow rate fault is sent, and secondary verification is carried out according to step S721; S714. Ultra-low limit alarm, based on the real-time flow rate F collected by S1 t and the ultra-low limit value F of the engineering quantity of the flow sensor set in S3 LL are compared. If F t ≤F LL , a preliminary judgment signal of ultra-low flow rate fault is sent, and secondary verification is carried out according to step S721; S715. Alarm for disconnection value. According to the real-time flow rate F collected by S1 t Compare with the disconnection value F of the flow sensor set in S3 b If F t ≥F b , then send out the initial judgment signal of the flow disconnection fault and perform the 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 the flow rate saved by self - learning in step S2, compare it with the actually collected flow rate. If the absolute value of the difference between the two is greater than the flow rate deviation value Fd, output the secondary verification result as a fault, and at the same time output the corresponding fault signal to remind the maintenance personnel to perform maintenance.

12. An integrated sensor fault identification system in a liquid cooling system, characterized in that, The sensor fault comprehensive identification system uses the sensor fault comprehensive identification method described in any one of claims 1 to 11 for sensor fault identification. The sensor fault comprehensive identification system includes: A feedback unit, which is composed of pressure sensors, temperature sensors and flow sensors respectively arranged in the primary loop and the secondary loop of the liquid cooling system; An acquisition unit, which is used to complete the data acquisition of the feedback unit; A control unit, which is used to receive the feedback signals acquired by the acquisition unit, and identify and output relevant alarm signals to the human-machine interaction unit; A human-machine interaction unit, which is used to realize the information interaction with the control unit; An output unit, which is used to receive the control instructions of the control unit and output them to the execution unit; An execution unit, the execution unit includes an inverter and a variable-frequency water pump, and the variable-frequency water pump is arranged in the secondary loop of the liquid cooling system to realize the driving of the cooling medium in the corresponding loop.

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