A method and system for fault monitoring of a water cooling system

Abstract

A kind of failure monitoring method and system for water cooling system, comprising: step 1, based on hydraulic calculation equivalent resistance method, the relationship between the actual change rate of flow and the actual change rate of pressure difference is fitted, and the prediction model of pressure difference change rate is obtained;Step 2, the actual change rate of pressure difference is input into the prediction model of pressure difference change rate, and the predicted change rate of flow is obtained;Step 3, in the preset period, the flow difference value of the predicted change rate of flow and the actual change rate of flow is obtained, and the health degree of equipment in water cooling system is determined according to the size relationship between flow difference value and set threshold value.The present application considers system cost, uses the measurement value of other sensor, reaches the purpose of detecting sensor and transmitter health condition by theoretical calculation analysis, reaches the purpose of detecting sensor and transmitter health condition by using existing sensor to assist detecting other sensor failure.

Description

Technical Field

[0001] This invention belongs to the technical field of water cooling systems, specifically, it relates to a fault monitoring method and system for water cooling systems. Background Technology

[0002] High-power power electronic equipment such as flexible DC converter stations, high-power wind turbine generators, and offshore platforms typically employ water cooling systems for heat exchange due to their high electrical and thermal power densities, large heat dissipation, and stringent insulation requirements. Water serves as the medium to carry the heat loss of high-power electronic devices outdoors for heat exchange with air or water, ensuring the devices operate within their optimal temperature range. The health of the water cooling system directly impacts the stable operation of high-power electronic devices. Online monitoring of critical components and the establishment of health indicators for these components are crucial for the timely detection of potential safety hazards and the safe and stable operation of the system.

[0003] In existing technologies, fault detection loops in water cooling systems have potential detection vulnerabilities. For example, while detecting whether a transmitter's output signal falls within the 4mA-20mA range can help determine if a transmitter or sensor is malfunctioning, when a sensor exhibits abnormal readings within this range, it's impossible to immediately confirm sensor failure. This makes it difficult to accurately diagnose flow or pressure sensors or transmitters, or determine the cause of the error. This hinders accurate monitoring data and fault diagnosis, potentially causing deviations in the water cooling system's control operation and directly impacting the stable operation of high-power electronic devices. Furthermore, when flow or pressure sensor and transmitter data is inaccurate, maintenance personnel cannot promptly and accurately analyze the feedback data. Another approach is to add multiple sensors for auxiliary detection to prevent system control failure due to a single sensor malfunction or error. However, this method requires multiple sensors, increasing costs, and sensor installation places certain requirements on piping, making it unsuitable for shorter pipe sections. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a fault monitoring method and system for water cooling systems. To determine the accuracy of measurements from flow or pressure sensors and transmitters, and to identify any malfunctions in these sensors, and considering system cost, the invention utilizes measurements from other sensors. Through theoretical calculation and analysis, it achieves the goal of using existing sensors to assist in detecting the malfunctions of other sensors, thereby monitoring the health status of the sensors and transmitters.

[0005] The present invention adopts the following technical solution.

[0006] This invention provides a fault monitoring method for water cooling systems, comprising:

[0007] Step 1: Based on the hydraulic calculation equivalent resistance method, fit the relationship between the actual rate of change of flow rate and the actual rate of change of pressure difference to obtain a prediction model for the rate of change of pressure difference.

[0008] Step 2: Input the actual rate of change of pressure difference into the prediction model of the rate of change of pressure difference to obtain the predicted rate of change of flow rate;

[0009] Step 3: Within a preset time period, obtain the flow difference between the predicted flow rate change rate and the actual flow rate change rate, and determine the health status of the equipment in the water cooling system based on the relationship between the flow difference and a set threshold.

[0010] Preferably, in step 1, within a preset time interval, the flow rate is obtained using a flow sensor located between the cooled part and the water pump, and the pressure difference is obtained using two pressure sensors located between the external cooling part and the cooled part; wherein, one preset time interval is one cycle, and the preset time interval ranges from 1 to 30 seconds.

[0011] Calculate the actual rate of change of flow rate and the actual rate of change of pressure difference in each cycle.

[0012] Preferably, within a preset time interval, the actual rate of change of pressure difference in each cycle is calculated using the following formula:

[0013]

[0014] In the formula,

[0015] K i Let be the actual rate of change of the pressure difference during the i-th period.

[0016] ΔP i+1 The pressure difference during the (i+1)th period.

[0017] ΔP i Let be the pressure difference during the i-th period.

[0018] G i+1 The flow rate during the (i+1)th period.

[0019] G i The flow rate during the i-th period;

[0020] Preferably, within a preset time interval, the actual rate of change of flow rate in each cycle is calculated using the following formula:

[0021]

[0022] In the formula,

[0023] L i denoted as the actual rate of change of flow rate within the i-th period.

[0024] Preferably, the prediction model for the rate of change of pressure difference satisfies the following relationship:

[0025] K i =L i (L i +2)

[0026] In the formula,

[0027] K i Let be the actual rate of change of the pressure difference during the i-th period.

[0028] L i denoted as the actual rate of change of flow rate within the i-th period.

[0029] Preferably, step 3 includes:

[0030] Step 3.1, calculate the predicted rate of change of flow rate within the i-th period. With the actual rate of change of flow L i The flow difference; and within a preset time period, calculate the average value of the flow difference for each cycle;

[0031] Step 3.2: If the average value is less than the first preset difference threshold, the health level is output as 1 degree; if the average value is greater than the second preset difference threshold, the equipment in the water cooling system is judged to be abnormal and an immediate repair is prompted; if the average value is greater than or equal to the first preset difference threshold and less than or equal to the second preset difference threshold, then step 3.3 is executed.

[0032] Step 3.3: If the average value is less than the first preset health threshold, the output health value is 2 degrees; if the average value is greater than the second preset health threshold, the output health value is 3 degrees; if the average value is greater than or equal to the first preset health threshold and less than or equal to the second preset health threshold, the output health value is 4 degrees.

[0033] Step 3.4: Use the output health score as the health score of the equipment in the water cooling system.

[0034] Preferably, in step 3.1, the preset time period is 5 to 10 minutes.

[0035] Preferably, the first preset difference threshold is 0.05, the second preset difference threshold is 0.35; the first preset health threshold is 0.15, and the second preset health threshold is 0.25.

[0036] Preferably, the equipment in the water cooling system includes: a flow sensor, a transmitter of the flow sensor, a pressure sensor, and a transmitter of the pressure sensor.

[0037] Preferably, when the health level is 1 degree, the equipment in the water cooling system is functioning normally;

[0038] When the health level is 2, the service life of the equipment in the water cooling system will be shortened to 75%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

[0039] When the health level is 3, the service life of the equipment in the water cooling system will be shortened to 60%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

[0040] When the health level is 4, the service life of the equipment in the water cooling system will be shortened to 50%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

[0041] In another aspect, the present invention proposes a fault monitoring system for a water cooling system, which implements a fault monitoring method for a water cooling system. The system includes: a data acquisition module, a prediction model module, a fault monitoring module, and a maintenance prompt module.

[0042] The acquisition module includes: a flow sensor located between the cooled part and the water pump, and two pressure sensors located between the external cooling part and the cooled part; the acquisition module is used to acquire the flow rate using the flow sensor located between the cooled part and the water pump within a preset time interval, and to acquire the pressure difference using the two pressure sensors located between the external cooling part and the cooled part; and to calculate the actual rate of change of flow rate and the actual rate of change of pressure difference in each cycle.

[0043] The prediction model module is used to fit the relationship between the actual rate of change of flow rate and the actual rate of change of pressure difference based on the hydraulic calculation equivalent resistance method, so as to obtain the prediction model of the rate of change of pressure difference; and input the actual rate of change of pressure difference obtained by the acquisition module into the prediction model of the rate of change of pressure difference to obtain the predicted rate of change of flow rate.

[0044] The fault monitoring module includes: a health status assessment unit and a service life recording unit;

[0045] The health assessment unit is used to obtain the flow difference between the predicted flow change rate and the actual flow change rate within a preset time period, and determine the health of the equipment in the water cooling system based on the relationship between the flow difference and a set threshold. Specifically, if the average value is less than a first preset difference threshold, the health level is output as 1 degree; if the average value is greater than a second preset difference threshold, the equipment in the water cooling system is judged to be abnormal and immediate maintenance is prompted; if the average value is greater than or equal to the first preset difference threshold and less than the first preset health threshold, the health level is output as 2 degrees; if the average value is greater than the second preset health threshold and less than or equal to the second preset difference threshold, the health level is output as 3 degrees; if the average value is greater than or equal to the first preset health threshold and less than or equal to the second preset health threshold, the health level is output as 4 degrees.

[0046] The lifespan recording unit is used to update the lifespan record of the equipment in the water cooling system based on the output of the health assessment unit. Specifically, when the health assessment unit outputs a health level of 1, the lifespan recording unit does not need to update the record. When the health assessment unit outputs a health level of 2, the lifespan recording unit shortens the lifespan of the equipment in the water cooling system to 75% and updates the corresponding record. When the health assessment unit outputs a health level of 3, the lifespan recording unit shortens the lifespan of the equipment in the water cooling system to 60% and updates the corresponding record. When the health assessment unit outputs a health level of 4, the lifespan recording unit shortens the lifespan of the equipment in the water cooling system to 50% and updates the corresponding record.

[0047] The maintenance prompt module is used to output an immediate maintenance prompt when the fault monitoring module determines that the equipment in the water cooling system is abnormal; it is also used to output a prompt to replace the equipment in the water cooling system when the record of the life recording unit is less than the service life of the equipment in the water cooling system in the current year, and to output a prompt to replace the equipment in the water cooling system at the next maintenance when the record of the life recording unit is not less than the service life of the equipment in the water cooling system in the current year.

[0048] The beneficial effects of this invention are that, compared with the prior art, it obtains a predictive model by using the measured values ​​of the existing pressure and flow sensors in the system and mathematical fitting methods, and then uses the predictive model for theoretical calculation and analysis. This allows for the detection of sensor malfunctions without increasing costs, and more effectively detects situations where sensors have significant errors. It can eliminate erroneous fault information caused by transmitter failure or newly loosened signals, improve the accuracy of sensor fault monitoring in the system, and ensure stable system operation. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the fault monitoring system for water cooling systems proposed in this invention;

[0050] Figure 1 The annotations in the accompanying drawings are explained as follows:

[0051] 1-Flow sensor; 21-First pressure sensor; 22-Second pressure sensor; 3-Circulation pump; 4-External cooling section; 5-Cooled section;

[0052] Figure 2 This is a flowchart of the fault monitoring method for water cooling systems proposed in this invention. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0054] The structure of the fault monitoring system for water cooling systems proposed in this invention is as follows: Figure 1 As shown, the equipment in the water cooling system includes: a flow sensor 1, a first pressure sensor 21, a second pressure sensor 22, a circulating pump 3, an external cooling section 4, a section being cooled 5, a transmitter for the flow sensor, a transmitter for the first pressure sensor, and a transmitter for the second pressure sensor. The flow sensor 1, as part of the water cooling system, is located between the section being cooled 5 and the circulating pump 3, or it can be located at any position in the water cooling system piping. The first pressure sensor 21 and the second pressure sensor 22 are located between the external cooling section 4 and the section being cooled 5.

[0055] This invention proposes a fault monitoring method for water cooling systems, such as... Figure 2 ,include:

[0056] Step 1: Based on the hydraulic calculation equivalent resistance method, fit the relationship between the actual rate of change of flow rate and the actual rate of change of pressure difference to obtain a prediction model for the rate of change of pressure difference.

[0057] Specifically, in step 1, within a preset time interval, the flow rate is obtained using the flow sensor 1, and the pressure difference is obtained using the first pressure sensor 21 and the second pressure sensor 22. The pressure difference is the absolute value of the difference between the first pressure sensor 21 and the second pressure sensor 22. Herein, a preset time interval is one cycle, and the preset time interval ranges from 1 to 30 seconds. In this embodiment, the preset time interval is preferably 2 seconds.

[0058] Calculate the actual rate of change of flow rate and the actual rate of change of pressure difference in each cycle.

[0059] Within a preset time interval, the actual rate of change of pressure difference in each cycle is calculated using the following formula:

[0060]

[0061] In the formula,

[0062] K i Let be the actual rate of change of the pressure difference during the i-th period.

[0063] ΔP i+1 The pressure difference during the (i+1)th period.

[0064] ΔP i Let be the pressure difference during the i-th period.

[0065] G i+1 The flow rate during the (i+1)th period.

[0066] G i The flow rate during the i-th period;

[0067] Within a preset time interval, the actual rate of change of flow rate in each cycle is calculated using the following formula:

[0068]

[0069] In the formula,

[0070] L i denoted as the actual rate of change of flow rate within the i-th period.

[0071] Preferably, the prediction model for the rate of change of pressure difference satisfies the following relationship:

[0072] K i =L i (L i +2)

[0073] In the formula,

[0074] K i Let be the actual rate of change of the pressure difference during the i-th period.

[0075] L i denoted as the actual rate of change of flow rate within the i-th period.

[0076] Step 2: Input the actual rate of change of pressure difference into the prediction model of the rate of change of pressure difference to obtain the predicted rate of change of flow rate.

[0077] Specifically, the prediction model for the rate of change of pressure difference satisfies the following relationship:

[0078] K i =L i (L i +2)

[0079] In the formula,

[0080] K i Let be the actual rate of change of the pressure difference during the i-th period.

[0081] L i denoted as the actual rate of change of flow rate within the i-th period.

[0082] Step 3: Within a preset time period, obtain the flow difference between the predicted flow rate change rate and the actual flow rate change rate, and determine the health status of the equipment in the water cooling system based on the relationship between the flow difference and a set threshold.

[0083] Specifically, step 3 includes:

[0084] Step 3.1, calculate the predicted rate of change of flow rate within the i-th period. With the actual rate of change of flow L i The flow difference; and within a preset time period, calculate the average value of the flow difference for each cycle;

[0085] Specifically, in step 3.1, the preset time period is set to 5 to 10 minutes. In this embodiment, the preset time period is preferably 5 minutes.

[0086] Step 3.2: If the average value is less than the first preset difference threshold, the health level is output as 1 degree; if the average value is greater than the second preset difference threshold, the equipment in the water cooling system is judged to be abnormal and an immediate repair is prompted; if the average value is greater than or equal to the first preset difference threshold and less than or equal to the second preset difference threshold, then step 3.3 is executed.

[0087] Step 3.3: If the average value is less than the first preset health threshold, the output health value is 2 degrees; if the average value is greater than the second preset health threshold, the output health value is 3 degrees; if the average value is greater than or equal to the first preset health threshold and less than or equal to the second preset health threshold, the output health value is 4 degrees.

[0088] Step 3.4: Use the output health score as the health score of the equipment in the water cooling system.

[0089] The first preset difference threshold is 0.05, and the second preset difference threshold is 0.35; the first preset health threshold is 0.15, and the second preset health threshold is 0.25.

[0090] When the health level is 1 degree, the equipment in the water cooling system is functioning normally;

[0091] When the health level is 2, the service life of the equipment in the water cooling system will be shortened to 75%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

[0092] When the health level is 3, the service life of the equipment in the water cooling system will be shortened to 60%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

[0093] When the health level is 4, the service life of the equipment in the water cooling system will be shortened to 50%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

[0094] It is worth noting that those skilled in the art can set different preset difference thresholds and preset health thresholds based on the sensor model, actual working needs, and experience; there are no specific values. In this embodiment, the first preset difference threshold, the second preset difference threshold, the first preset health threshold, and the second preset health threshold are all non-limiting preferred choices.

[0095] It is worth noting that service life refers to the shortest possible operating time for equipment in a water-cooling system without failure. Those skilled in the art can set different service life and service life reduction rates based on different sensors, usage conditions, and empirical values; there are no specific values. In this embodiment, both service life and service life reduction rate are non-limiting, preferred choices.

[0096] In another aspect, the present invention proposes a fault monitoring system for a water cooling system, which implements a fault monitoring method for a water cooling system. The system includes: a data acquisition module, a prediction model module, a fault monitoring module, and a maintenance prompt module.

[0097] The acquisition module includes: a flow sensor located between the cooled part and the water pump, and two pressure sensors located between the external cooling part and the cooled part; the acquisition module is used to acquire the flow rate using the flow sensor located between the cooled part and the water pump within a preset time interval, and to acquire the pressure difference using the two pressure sensors located between the external cooling part and the cooled part; and to calculate the actual rate of change of flow rate and the actual rate of change of pressure difference in each cycle.

[0098] The prediction model module is used to fit the relationship between the actual rate of change of flow rate and the actual rate of change of pressure difference based on the hydraulic calculation equivalent resistance method, so as to obtain the prediction model of the rate of change of pressure difference; and input the actual rate of change of pressure difference obtained by the acquisition module into the prediction model of the rate of change of pressure difference to obtain the predicted rate of change of flow rate.

[0099] The fault monitoring module includes: a health status assessment unit and a service life recording unit;

[0100] The health assessment unit is used to obtain the flow difference between the predicted flow change rate and the actual flow change rate within a preset time period, and determine the health of the equipment in the water cooling system based on the relationship between the flow difference and a set threshold. Specifically, if the average value is less than a first preset difference threshold, the health level is output as 1 degree; if the average value is greater than a second preset difference threshold, the equipment in the water cooling system is judged to be abnormal and immediate maintenance is prompted; if the average value is greater than or equal to the first preset difference threshold and less than the first preset health threshold, the health level is output as 2 degrees; if the average value is greater than the second preset health threshold and less than or equal to the second preset difference threshold, the health level is output as 3 degrees; if the average value is greater than or equal to the first preset health threshold and less than or equal to the second preset health threshold, the health level is output as 4 degrees.

[0101] The lifespan recording unit is used to update the lifespan record of the equipment in the water cooling system based on the output of the health assessment unit. Specifically, when the health assessment unit outputs a health level of 1, the lifespan recording unit does not need to update the record. When the health assessment unit outputs a health level of 2, the lifespan recording unit shortens the lifespan of the equipment in the water cooling system to 75% and updates the corresponding record. When the health assessment unit outputs a health level of 3, the lifespan recording unit shortens the lifespan of the equipment in the water cooling system to 60% and updates the corresponding record. When the health assessment unit outputs a health level of 4, the lifespan recording unit shortens the lifespan of the equipment in the water cooling system to 50% and updates the corresponding record.

[0102] The maintenance prompt module is used to output an immediate maintenance prompt when the fault monitoring module determines that the equipment in the water cooling system is abnormal; it is also used to output a prompt to replace the equipment in the water cooling system when the record of the life recording unit is less than the service life of the equipment in the water cooling system in the current year, and to output a prompt to replace the equipment in the water cooling system at the next maintenance when the record of the life recording unit is not less than the service life of the equipment in the water cooling system in the current year.

[0103] The beneficial effects of this invention are that, compared with the prior art, it obtains a predictive model by using the measured values ​​of the existing pressure and flow sensors in the system and mathematical fitting methods, and then uses the predictive model for theoretical calculation and analysis. This allows for the detection of sensor malfunctions without increasing costs, and more effectively detects situations where sensors have significant errors. It can eliminate erroneous fault information caused by transmitter failure or newly loosened signals, improve the accuracy of sensor fault monitoring in the system, and ensure stable system operation.

[0104] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0105] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0106] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0107] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0108] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0109] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0110] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0111] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A fault monitoring method for a water cooling system, characterized in that, The method includes: Step 1: Calculate the actual rate of change of flow rate and the actual rate of change of pressure difference in each cycle; based on the hydraulic calculation equivalent resistance method, fit the relationship between the actual rate of change of flow rate and the actual rate of change of pressure difference, and obtain the prediction model for the rate of change of pressure difference satisfying the following relationship: In the formula, For the first The actual rate of change of pressure difference within the period For the first The actual rate of change of flow rate within the period; Step 2: Input the actual rate of change of pressure difference into the prediction model of the rate of change of pressure difference to obtain the predicted rate of change of flow rate; Step 3: Within a preset time period, obtain the flow difference between the predicted flow change rate and the actual flow change rate. Determine the health status of the equipment in the water cooling system based on the relationship between the flow difference and a set threshold. Link the health status to the shortening ratio of the service life of the equipment in the water cooling system. Generate equipment replacement prompt information for the next maintenance based on the service life of the equipment in the water cooling system in the current year and the shortened service life. Step 3 includes: Step 3.1, calculate the first... Predicted rate of change in flow rate within the period With actual rate of change of flow The flow difference; and within a preset time period, calculate the average value of the flow difference for each cycle; Step 3.2: If the average value is less than the first preset difference threshold, the health level is output as 1 degree; if the average value is greater than the second preset difference threshold, the equipment in the water cooling system is judged to be abnormal and an immediate repair is prompted; if the average value is greater than or equal to the first preset difference threshold and less than or equal to the second preset difference threshold, then step 3.3 is executed. Step 3.3: If the average value is less than the first preset health threshold, the output health value is 2 degrees; if the average value is greater than the second preset health threshold, the output health value is 3 degrees; if the average value is greater than or equal to the first preset health threshold and less than or equal to the second preset health threshold, the output health value is 4 degrees. Step 3.4: Use the output health score as the health score of the equipment in the water cooling system; When the health level is 1 degree, the equipment in the water cooling system is functioning normally; When the health level is 2, the service life of the equipment in the water cooling system will be shortened to 75%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance. When the health level is 3, the service life of the equipment in the water cooling system will be shortened to 60%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance. When the health level is 4, the service life of the equipment in the water cooling system will be shortened to 50%. If the service life of the equipment in the water cooling system in the current year is less than the shortened service life, the equipment in the water cooling system will be replaced immediately. Otherwise, the equipment in the water cooling system will be replaced during the next maintenance.

2. The fault monitoring method for a water cooling system according to claim 1, characterized in that, In step 1, within a preset time interval, the flow rate is obtained using a flow sensor located between the cooled part and the water pump, and the pressure difference is obtained using two pressure sensors located between the external cooling part and the cooled part; wherein, a preset time interval is one cycle, and the preset time interval ranges from 1 to 30 seconds.

3. The fault monitoring method for a water cooling system according to claim 2, characterized in that, Within a preset time interval, the actual rate of change of pressure difference in each cycle is calculated using the following formula: In the formula, For the first The actual rate of change of pressure difference within the period For the first +1 cycle pressure difference, Let be the pressure difference during the i-th period. For the first +1 cycle flow For the first Flow rate within the period; Within a preset time interval, the actual rate of change of flow rate in each cycle is calculated using the following formula: In the formula, For the first The actual rate of change of flow rate within the period.

4. The fault monitoring method for a water cooling system according to claim 1, characterized in that, In step 3.1, the preset time period is set to 5 to 10 minutes.

5. The fault monitoring method for a water cooling system according to claim 1, characterized in that, The first preset difference threshold is 0.05, and the second preset difference threshold is 0.35; The first preset health threshold is 0.15, and the second preset health threshold is 0.

25.

6. The fault monitoring method for a water cooling system according to claim 1, characterized in that, The equipment in the water cooling system includes: flow sensor, flow sensor transmitter, pressure sensor, and pressure sensor transmitter.

7. A fault monitoring system for a water cooling system, used to implement the fault monitoring method for a water cooling system according to any one of claims 1 to 6, the system comprising: Predictive model module, fault monitoring module; characterized in that, The prediction model module is used to fit the relationship between the actual rate of change of flow rate and the actual rate of change of pressure difference based on the hydraulic calculation equivalent resistance method, so as to obtain the prediction model of the rate of change of pressure difference; and input the actual rate of change of pressure difference obtained by the acquisition module into the prediction model of the rate of change of pressure difference to obtain the predicted rate of change of flow rate. The fault monitoring module includes: a health status assessment unit and a service life recording unit; The health assessment unit is used to obtain the flow difference between the predicted flow change rate and the actual flow change rate within a preset time period, and to determine the health of the equipment in the water cooling system based on the relationship between the flow difference and a set threshold. The lifespan recording unit is used to update the lifespan record of equipment in the water cooling system based on the output of the health assessment unit.

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