Fault diagnosis method and device, equipment and storage medium

By collecting multi-layer data of the clean air conditioning system and adopting a step-by-step fault diagnosis method, the problem of low system fault diagnosis efficiency and poor accuracy is solved, and fast and accurate fault location and elimination are achieved.

CN119321598APending Publication Date: 2025-01-17CHINA ELECTRONICS ENGINEERING DESIGN INSTITUTECO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411268294.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-11
Publication Date
2025-01-17

AI Technical Summary

Technical Problem

Clean air conditioning systems are inefficient and poorly accurate during the fault diagnosis process, resulting in extended troubleshooting time and possible misses or deviations due to manual dependence.

Method used

By collecting sensor data, equipment data and subsystem data of the clean air conditioning system, we adopt a step-by-step fault diagnosis method and combine sensor-level, equipment-level and system-level diagnostic models to troubleshoot the fault according to the corresponding level of troubleshooting guidance plan and stop the next step. level diagnosis.

Benefits of technology

It achieves rapid, timely and accurate diagnosis of the fault causes of the clean air conditioning system, greatly shortens the fault diagnosis time, and improves the efficiency and accuracy of fault diagnosis.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119321598A_ABST
    Figure CN119321598A_ABST
Patent Text Reader

Abstract

The invention relates to the field of clean air conditioning systems, and provides a fault diagnosis method, device and equipment and a storage medium. The method comprises the steps that sensor data of a sensor in the clean air conditioning system, equipment data of equipment associated with the sensor and subsystem data of a subsystem associated with at least one of the sensor and the equipment are collected; and step-by-step fault diagnosis is carried out on the same fault phenomenon of the clean air-conditioning system based on sensor data in combination with associated equipment data and system data, and when it is diagnosed that the clean air-conditioning system has corresponding-level faults, the faults are eliminated according to a fault elimination guidance scheme of the corresponding-level faults. And next-level diagnosis aiming at the fault phenomenon caused by the corresponding-level fault is stopped, so that all fault reasons possibly causing the fault phenomenon can be quickly, timely and accurately diagnosed.
Need to check novelty before this filing date? Find Prior Art

Description

Background Art

[0002] A clean air conditioning system is an air conditioning system designed to maintain an air environment of a specific cleanliness level by adjusting environmental factors such as humidity, temperature, and cleanliness. It is widely used in places such as the semiconductor manufacturing industry and food processing that require strict control of suspended particles, microbial content, temperature and humidity in the air. It is an important part of the factory's plant management system and is crucial to improving product quality and production safety.

[0003] In order to ensure the safe, stable and efficient operation of the clean air-conditioning system, it is necessary to troubleshoot faults in daily operation and maintenance and solve various problems that arise during system operation. At present, when operation and maintenance personnel perform troubleshooting tasks, they need to conduct detailed inspections of every component and equipment of the clean air-conditioning system, but the complex system structure increases the breadth and depth of the inspection and slows down the speed of troubleshooting. In particular, a single fault phenomenon in the clean air-conditioning system may be caused by multiple reasons, but manual troubleshooting relies on the work experience and technical level of the operation and maintenance personnel, and it is difficult to ensure that there are no omissions or deviations in the troubleshooting process. Therefore, improving the efficiency and accuracy of fault diagnosis is an issue that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present application provide a fault diagnosis method, apparatus, device and storage medium to solve the problems of slow fault diagnosis efficiency and low accuracy.

[0005] In a first aspect, an embodiment of the present application provides a fault diagnosis method, comprising:

[0006] Collecting sensor data of sensors in the clean air conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and the devices;

[0007] Based on the sensor data, combined with the associated device data and the system data, the clean air-conditioning system is diagnosed with faults step by step. When it is diagnosed that the clean air-conditioning system has a corresponding level of fault, the fault is eliminated according to the troubleshooting guidance plan for the corresponding level of fault, and the next level of diagnosis is stopped for the fault phenomenon caused by the corresponding level of fault.

[0008] Optionally, the step-by-step fault diagnosis of the clean air conditioning system based on the sensor data in combination with the associated device data and the system data includes:

[0009] Based on the sensor data, perform sensor-level fault diagnosis on the sensor of the clean air conditioning system, and when diagnosing that the sensor has a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault;

[0010] When it is diagnosed that the sensor does not have a sensor-level fault, based on the associated device data, perform device-level fault diagnosis on the device, and when it is diagnosed that the device has a device-level fault, eliminate the fault of the device according to the troubleshooting guidance plan of the device-level fault;

[0011] When it is diagnosed that there is no device-level fault in the device, the subsystem is diagnosed with a system-level fault based on the associated system data; when it is diagnosed that there is a system-level fault in the subsystem, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault; when it is diagnosed that there is no system-level fault in the subsystem, the next round of step-by-step fault diagnosis is performed on the sensor and the associated device and subsystem.

[0012] Optionally, performing sensor-level fault diagnosis on the sensor of the clean air conditioning system based on the sensor data includes:

[0013] Based on the diagnostic rules in the sensor-level fault diagnosis model and the collected sensor data, performing fault diagnosis on the sensor of the clean air conditioning system;

[0014] When the first fault diagnosis result is that the sensor has a sensor-level fault, the fault of the sensor is eliminated according to a troubleshooting guidance plan for a sensor-level fault.

[0015] Optionally, the performing device-level fault diagnosis on the device based on the associated device data includes:

[0016] Performing fault diagnosis on the device based on the diagnosis rules in the device-level fault diagnosis model and the collected device data;

[0017] When the second fault diagnosis result is that the device has a device-level fault, the fault of the device is eliminated according to the troubleshooting guidance plan for the device-level fault.

[0018] Optionally, the performing system-level fault diagnosis on the subsystem based on the associated system data includes:

[0019] Performing fault diagnosis on the subsystem based on the diagnosis rules in the system-level fault diagnosis model and the collected system data;

[0020] When the third fault diagnosis result is that the subsystem has a system-level fault, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault.

[0021] Optionally, when the sensor has no association relationship with other devices or other subsystems of the clean air conditioning system, the method further includes:

[0022] Collecting sensor data of sensors in the clean air conditioning system, and performing sensor-level fault diagnosis on the sensors of the clean air conditioning system based on the sensor data;

[0023] When it is diagnosed that the sensor has a sensor-level fault, the sensor fault is eliminated according to the troubleshooting guidance plan of the sensor fault; when it is diagnosed that there is no sensor-level fault, the next round of sensor-level fault diagnosis is performed on the clean air conditioning system.

[0024] Optionally, when the sensor, the device, and other subsystems of the clean air conditioning system have no association relationship, the method further includes:

[0025] Collect sensor data of sensors in the clean air conditioning system and device data of devices associated with the sensors;

[0026] Based on the sensor data, perform a next round of sensor-level fault diagnosis on the sensor, and when the sensor is diagnosed to have a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault;

[0027] When diagnosing that there is no sensor-level fault in the sensor, perform device-level fault diagnosis on the device based on the associated device data; when diagnosing that there is a device-level fault in the device, eliminate the fault of the device in accordance with the troubleshooting guidance plan for the device-level fault; when diagnosing that there is no device-level fault in the device, perform the next round of step-by-step fault diagnosis on the sensor and the associated device.

[0028] In a second aspect, an embodiment of the present application further provides a fault diagnosis device, comprising:

[0029] A data acquisition unit, used to collect sensor data of sensors in the clean air conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and the devices;

[0030] The fault diagnosis unit is used to perform step-by-step fault diagnosis on the clean air-conditioning system based on the sensor data in combination with the associated device data and the system data. When it is diagnosed that the clean air-conditioning system has a corresponding level of fault, the fault is eliminated according to the troubleshooting guidance plan for the corresponding level of fault, and the next level of diagnosis is stopped for the fault phenomenon caused by the corresponding level of fault.

[0031] Optionally, the fault diagnosis unit is used to:

[0032] Based on the sensor data, perform sensor-level fault diagnosis on the sensor of the clean air conditioning system, and when diagnosing that the sensor has a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault;

[0033] When it is diagnosed that the sensor does not have a sensor-level fault, based on the associated device data, perform device-level fault diagnosis on the device, and when it is diagnosed that the device has a device-level fault, eliminate the fault of the device according to the troubleshooting guidance plan of the device-level fault;

[0034] When it is diagnosed that there is no device-level fault in the device, the subsystem is diagnosed with a system-level fault based on the associated system data; when it is diagnosed that there is a system-level fault in the subsystem, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault; when it is diagnosed that there is no system-level fault in the subsystem, the next round of step-by-step fault diagnosis is performed on the sensor and the associated device and subsystem.

[0035] Optionally, the fault diagnosis unit is used to:

[0036] Based on the diagnostic rules in the sensor-level fault diagnosis model and the collected sensor data, performing fault diagnosis on the sensor of the clean air conditioning system;

[0037] When the first fault diagnosis result is that the sensor has a sensor-level fault, the fault of the sensor is eliminated according to a troubleshooting guidance plan for a sensor-level fault.

[0038] Optionally, the fault diagnosis unit is used to:

[0039] Performing fault diagnosis on the device based on the diagnosis rules in the device-level fault diagnosis model and the collected device data;

[0040] When the second fault diagnosis result is that the device has a device-level fault, the fault of the device is eliminated according to the troubleshooting guidance plan for the device-level fault.

[0041] Optionally, the fault diagnosis unit is used to:

[0042] Performing fault diagnosis on the subsystem based on the diagnosis rules in the system-level fault diagnosis model and the collected system data;

[0043] When the third fault diagnosis result is that the subsystem has a system-level fault, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault.

[0044] Optionally, when the sensor has no association relationship with other devices or other subsystems of the clean air conditioning system, the fault diagnosis unit is further used to:

[0045] Collecting sensor data of sensors in the clean air conditioning system, and performing sensor-level fault diagnosis on the sensors in the clean air conditioning system based on the sensor data;

[0046] When it is diagnosed that the sensor has a sensor-level fault, the sensor fault is eliminated according to the troubleshooting guidance plan of the sensor fault; when it is diagnosed that there is no sensor-level fault, the next round of sensor-level fault diagnosis is performed on the clean air conditioning system.

[0047] Optionally, when the sensor, the device and other subsystems of the clean air conditioning system have no association relationship, the fault diagnosis unit is further used to:

[0048] Collect sensor data of sensors in the clean air conditioning system and device data of devices associated with the sensors;

[0049] Based on the sensor data, perform a next round of sensor-level fault diagnosis on the sensor, and when the sensor is diagnosed to have a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault;

[0050] When diagnosing that there is no sensor-level fault in the sensor, perform device-level fault diagnosis on the device based on the associated device data; when diagnosing that there is a device-level fault in the device, eliminate the fault of the device in accordance with the troubleshooting guidance plan for the device-level fault; when diagnosing that there is no device-level fault in the device, perform the next round of step-by-step fault diagnosis on the sensor and the associated device.

[0051] In a third aspect, an embodiment of the present application further provides a computer device, comprising a processor and a memory, wherein the memory stores program code, and when the program code is executed by the processor, the processor executes the steps of any one of the above-mentioned fault diagnosis methods.

[0052] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which includes a program code. When the program product is run on a computer device, the program code is used to enable the computer device to execute the steps of any one of the above-mentioned fault diagnosis methods.

[0053] The beneficial effects of this application are as follows:

[0054] The embodiments of the present application provide a fault diagnosis method, apparatus, device and storage medium, the method comprising: collecting sensor data of sensors in a clean air-conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and devices; based on the sensor data, in combination with the associated device data and system data, performing step-by-step fault diagnosis on the same fault phenomenon of the clean air-conditioning system; when a corresponding level of fault is diagnosed in the clean air-conditioning system, troubleshooting the fault according to the troubleshooting guidance plan for the corresponding level of fault, and stopping the next level of diagnosis for the fault phenomenon caused by the corresponding level of fault, quickly, timely and accurately diagnosing all possible causes of the fault phenomenon, greatly shortening the fault diagnosis time, and improving the fault diagnosis efficiency and accuracy.

[0055] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description, claims, and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0057] Figure 1A A schematic diagram of a process for diagnosing a fault in a clean air conditioning system provided in an embodiment of the present application;

[0058] Figure 1B A schematic diagram of the structure of a fault diagnosis model provided in an embodiment of the present application;

[0059] Figure 1C A schematic diagram of a process for performing step-by-step fault diagnosis on a clean air conditioning system provided in an embodiment of the present application;

[0060] Figure 2 A schematic diagram of a fault diagnosis process when the sensor has no association with other equipment or other subsystems of the clean air conditioning system provided in an embodiment of the present application;

[0061] Figure 3 A schematic diagram of a fault diagnosis process when the sensor and its associated equipment have no association with other subsystems in the clean air conditioning system provided in an embodiment of the present application;

[0062] Figure 4 A schematic diagram of the structure of a fault diagnosis device provided in an embodiment of the present application;

[0063] Figure 5A schematic diagram of the structure of a computer device provided in an embodiment of the present application;

[0064] Figure 6 Schematic diagram of the structure of a computing device in an embodiment of the present application. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the technical solution of the present application, rather than all of the embodiments. Based on the embodiments recorded in the application documents, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the technical solution of the present application.

[0066] The following is a brief introduction to the design concept of the embodiment of the present application:

[0067] A clean air conditioning system is an air conditioning system designed to maintain an air environment of a specific cleanliness level by adjusting environmental factors such as humidity, temperature, and cleanliness. It is widely used in places such as the semiconductor manufacturing industry and food processing that require strict control of suspended particles, microbial content, temperature and humidity in the air. It is an important part of the factory's plant management system and is crucial to improving product quality and production safety.

[0068] In order to ensure the safe, stable and efficient operation of the clean air-conditioning system, it is necessary to troubleshoot faults in daily operation and maintenance and solve various problems that arise during system operation. At present, when operation and maintenance personnel perform troubleshooting tasks, they need to conduct detailed inspections of every component and equipment of the clean air-conditioning system, but the complex system structure increases the breadth and depth of the inspection and slows down the speed of troubleshooting. In particular, a single fault phenomenon in the clean air-conditioning system may be caused by multiple reasons, but manual troubleshooting relies on the work experience and technical level of the operation and maintenance personnel, and it is difficult to ensure that there are no omissions or deviations in the troubleshooting process. Therefore, improving the efficiency and accuracy of fault diagnosis is an issue that needs to be solved urgently.

[0069] In view of this, an embodiment of the present application proposes a fault diagnosis method, which includes: collecting sensor data of sensors in a clean air-conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and devices; based on the sensor data, combined with the associated device data and system data, performing step-by-step fault diagnosis on the same fault phenomenon of the clean air-conditioning system, when it is diagnosed that the clean air-conditioning system has a corresponding level of fault, troubleshooting the fault in accordance with the troubleshooting guidance plan for the corresponding level of fault, and stopping the next level of diagnosis for the fault phenomenon caused by the corresponding level of fault, quickly, promptly and accurately diagnosing all possible causes of the fault phenomenon, greatly shortening the fault diagnosis time, and improving the fault diagnosis efficiency and accuracy.

[0070] The preferred embodiments of the present application are described below in conjunction with the drawings in the specification. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application. In addition, the embodiments and features in the embodiments of the present application may be combined with each other if there is no conflict.

[0071] See also Figure 1A The flowchart shown introduces the process of fault diagnosis for the clean air conditioning system.

[0072] S101: Collect sensor data of sensors in a clean air conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and the devices.

[0073] The clean air conditioning system is a highly integrated and complex facility that is equipped with a variety of sensors to monitor key indicators. These sensors work together with various precision equipment to build a highly professional subsystem to ensure the efficiency and cleanliness of the overall environment.

[0074] Among them, the sensors of the clean air conditioning system include: temperature sensor, humidity sensor, dew point temperature sensor, pressure sensor and various monitoring points, etc. The equipment of the clean air conditioning system includes: humidifier, blower, air supply valve, fresh air valve, etc. The subsystems of the clean air conditioning system include: make-up air unit (MAU), fan filter unit (FFU), dry cooling coil (DCC) and other equipment and equipment combinations with independent functions.

[0075] Establish a wired or wireless connection with each sensor installed in the clean air conditioning system to obtain sensor data collected by each sensor. Equipment data includes: various data generated when the equipment itself is running, and sensor data collected by at least one sensor used to monitor the key indicators of the equipment. System data includes: various data generated when the subsystem itself is running, and at least one of the sensor data collected by the sensors that constitute the subsystem and the equipment data collected by the equipment. Among them, the above-mentioned collected data includes: historical data and real-time data on key indicators, key parameters, operating status, abnormal alarms and other aspects.

[0076] Wired connections are generally more stable, while wireless connections provide more flexible deployment options. If the system is large, multiple data collection nodes may need to be set up to achieve wide coverage of the data collection surface and efficient data transmission.

[0077] S102: Based on the sensor data, combined with the associated equipment data and system data, the clean air conditioning system is diagnosed with faults at each level. When it is diagnosed that the clean air conditioning system has a corresponding level of fault, the fault is eliminated according to the troubleshooting guidance plan for the corresponding level of fault, and the next level of diagnosis is stopped for the fault phenomenon caused by the corresponding level of fault.

[0078] exist Figure 1B The fault diagnosis model shown specifically includes: a sensor-level fault diagnosis model for diagnosing sensor-level faults, a device-level fault diagnosis model for diagnosing device-level faults, and a system-level fault diagnosis model for diagnosing system-level faults. Each level of the fault diagnosis model is configured with diagnostic rules for diagnosing the cause of the corresponding level of faults, as well as troubleshooting guidance solutions for solving the fault problems.

[0079] It is also possible to dynamically update the diagnostic rules and troubleshooting guidance plans in the fault diagnosis models at all levels according to troubleshooting needs, so as to achieve wide coverage of the fault diagnosis range, improve the efficiency and accuracy of the system's intelligent troubleshooting, provide timely feedback on abnormal situations, and ensure the normal operation of the clean air-conditioning system.

[0080] See also Figure 1C The schematic diagram shown introduces the specific implementation process of step-by-step fault diagnosis of the clean air conditioning system.

[0081] S1021: Based on the collected sensor data, perform sensor-level fault diagnosis on the sensors of the clean air conditioning system.

[0082] Based on the diagnostic rules in the sensor-level fault diagnosis model and the collected sensor data, fault diagnosis is performed on the sensors of the clean air-conditioning system.

[0083] Sensor-level failures include: sensor false connection failure, sensor accuracy failure, sensor failure failure, etc.

[0084] For example, by analyzing the sensor data of MAU through the sensor-level fault diagnosis model, it was found that the recent supply air dew point temperature value of MAU showed intermittent fluctuation characteristics, indicating that its change trend was not stable, sometimes stable, and sometimes fluctuating. It was diagnosed that the supply air dew point temperature sensor had a false connection fault, and a solution of tightening the wiring of the supply air dew point temperature sensor was given to eliminate the intermittent fluctuation fault of the dew point temperature value caused by the false connection of the supply air dew point temperature sensor.

[0085] S1022: Determine whether there is a sensor level failure, if so, execute step 1023; otherwise, execute step 1024.

[0086] When the first fault diagnosis result is that the sensor has a sensor-level fault, step 1023 is executed to eliminate the sensor fault according to the troubleshooting guidance plan for the sensor-level fault, and stop performing the next level of diagnosis on the fault phenomenon caused by the sensor-level fault.

[0087] When the first fault diagnosis result is that the sensor does not have a sensor-level fault, step 1024 is executed to perform a device-level fault diagnosis on the device associated with the sensor.

[0088] S1023: When the sensor is diagnosed to have a sensor-level fault, eliminate the sensor fault according to the troubleshooting guidance plan for the sensor-level fault.

[0089] When diagnosing a sensor with a sensor-level fault, the cause of the fault phenomenon is attributed to the fault of the sensor. According to the solution given in the troubleshooting guidance plan, the sensor fault is eliminated and the source of the fault is solved, thereby reducing the probability of failure of the device and subsystem associated with the sensor. Therefore, after eliminating the sensor fault, the next level of diagnosis for the fault phenomenon caused by the sensor-level fault can be stopped, the current round of fault diagnosis is terminated, and the process jumps to step 1021 again. Based on the newly collected data, the next round of step-by-step fault diagnosis is performed on the sensor, the device associated with the sensor, and at least one associated subsystem of the sensor and the device.

[0090] S1024: When the diagnosis sensor does not have a sensor-level fault, perform device-level fault diagnosis on the device based on the associated device data.

[0091] Based on the diagnosis rules in the device-level fault diagnosis model and the collected device data, the device fault diagnosis is performed.

[0092] Equipment-level failures include: equipment power supply failure, equipment control abnormality failure, equipment operation abnormality failure, etc.

[0093] For example, the device data of the humidifier in the MAU is analyzed through the device-level fault diagnosis model. The device data includes: the supply air dew point temperature value collected by the supply air dew point temperature sensor in the MAU used to monitor the humidifier. The analysis found that when the humidifier valve of the humidifier is fully open, the supply air dew point temperature value is still far below the set value. It is determined that the humidifier has an abnormal operation fault, and a humidifier maintenance solution is given to eliminate the failure of the supply air dew point temperature not meeting the standard. If there is no device-level fault, the system-level fault diagnosis process is entered.

[0094] S1025: Determine whether there is a device-level failure. If so, execute step 1026; otherwise, execute step 1027.

[0095] When the second fault diagnosis result is that the device has a device-level fault, step 1026 is executed to eliminate the device fault according to the troubleshooting guidance plan for the device-level fault, and stop performing the next level diagnosis on the fault phenomenon caused by the device-level fault.

[0096] When the second fault diagnosis result is that there is no device-level fault in the device, step 1027 is executed to perform system-level fault diagnosis on at least one associated subsystem of the sensor and the device.

[0097] S1026: When the diagnostic device has a device-level fault, eliminate the device fault according to the device-level fault troubleshooting guidance plan.

[0098] When the diagnostic device has a device-level fault, the cause of the fault phenomenon is attributed to the fault of the device. According to the solution given in the troubleshooting guidance plan, the device fault is eliminated and the source of the fault is solved, thereby reducing the probability of failure of the sensor and subsystem associated with the device. Therefore, after eliminating the device fault, the next level of diagnosis for the fault phenomenon caused by the device-level fault can be stopped, the current round of fault diagnosis is ended, and the process jumps to step 1021 again. Based on the newly collected data, the next round of step-by-step fault diagnosis is performed on the sensor, the device associated with the sensor, and at least one associated subsystem of the sensor and the device.

[0099] S1027: When there is no device-level fault in the diagnostic device, perform system-level fault diagnosis on the subsystem based on the associated system data.

[0100] Based on the diagnosis rules in the system-level fault diagnosis model and the collected system data, fault diagnosis is performed on the subsystem.

[0101] System-level failures include: abnormal system operation failures, abnormal system control logic failures, abnormal system chain failures, etc.

[0102] For example, the system data of the MAU is analyzed through the system-level fault diagnosis model. The system data includes: the equipment data of the cold section of the dehumidifier in the MAU and the sensor data of the air supply dew point temperature sensor. The analysis found that under the summer dehumidification condition, the equipment condition of the cold section of the dehumidifier is normal, but the air supply dew point temperature value is too low. The MAU is diagnosed to have an abnormal dehumidification condition operation fault, and a solution for adjusting the MAU dehumidification condition control strategy is provided to eliminate the failure of the air supply dew point temperature value not meeting the standard. If there is no system-level fault, the sensor data, equipment data and system data of the clean air conditioning system are collected again, and the process jumps to step 1021 to perform step-by-step fault diagnosis on the sensor, the equipment associated with the sensor, and at least one associated subsystem of the sensor and the equipment.

[0103] S1028: Determine whether there is a system-level fault. If so, execute step 1029; otherwise, jump to step 1021 and perform the next round of step-by-step fault diagnosis on the sensor and related devices and subsystems based on the newly collected data.

[0104] When the third fault diagnosis result is that the subsystem has a system-level fault, step 1029 is executed to attribute the cause of the fault phenomenon to the failure of the subsystem, and the subsystem failure is eliminated according to the troubleshooting guidance plan for the system-level fault.

[0105] When the third fault diagnosis result is that there is no system-level fault in the subsystem, jump to step 1021 and perform the next round of step-by-step fault diagnosis on the sensor and the associated devices and subsystems based on the newly collected sensor data, device data and system data.

[0106] S1029: When a system-level fault exists in the diagnosis subsystem, eliminate the fault of the subsystem according to the troubleshooting guidance plan for the system-level fault.

[0107] When there is a system-level fault in the diagnostic device, the cause of the fault phenomenon is attributed to the failure of the subsystem. According to the solution given in the troubleshooting guidance plan, the device fault is eliminated and the source of the fault is solved, thereby reducing the probability of failure of the sensor and device associated with the subsystem. Therefore, after eliminating the subsystem fault, the current round of fault diagnosis can be ended and the process can be jumped to step 1021 again. Based on the newly collected data, the next round of step-by-step fault diagnosis is performed on the sensor, the device associated with the sensor, and at least one associated subsystem of the sensor and the device.

[0108] In the above example, a multi-level fault diagnosis model is established according to the three-layer structure of sensor level, equipment level, and system level. The fault diagnosis model of each level is configured with diagnostic rules for diagnosing the cause of the corresponding level of fault, as well as troubleshooting guidance solutions for solving the fault problem. This application starts with progressive diagnosis from the sensor level according to the progressive relationship of fault severity, conducts in-depth investigation of the same fault phenomenon, and quickly, promptly, and accurately diagnoses all possible causes of the fault phenomenon, greatly shortening the diagnosis time of fault diagnosis, improving the efficiency and accuracy of fault diagnosis, and eliminating the fault of the clean air conditioning system according to the solution recorded in the troubleshooting guidance solution for the corresponding level of fault.

[0109] However, when using the method proposed in the embodiment of the present application for fault diagnosis, there are still the following two special situations. One is how to perform fault diagnosis when the sensor has no association with other equipment and other subsystems of the clean air-conditioning system; the other is how to perform fault diagnosis when the sensor and its associated equipment have no association with other subsystems in the clean air-conditioning system.

[0110] Combination Figure 2 In the flowchart shown, when the sensor has no association with other equipment or other subsystems of the clean air conditioning system, the fault diagnosis process is as follows:

[0111] S201: Collecting sensor data of sensors in the clean air conditioning system;

[0112] S202: Performing sensor-level fault diagnosis on sensors of the clean air conditioning system based on sensor data;

[0113] S203: Determine whether there is a sensor-level fault. If so, eliminate the sensor fault according to the sensor fault troubleshooting guidance plan; otherwise, jump to step 201 and perform the next round of sensor-level fault diagnosis on the clean air conditioning system based on the newly collected sensor data.

[0114] Combination Figure 3 In the flowchart shown, when the sensor and its associated equipment have no association with other subsystems in the clean air conditioning system, the fault diagnosis process is as follows:

[0115] S301: Collect sensor data of sensors in the clean air conditioning system and device data of devices associated with the sensors;

[0116] S302: Performing sensor-level fault diagnosis on the sensor based on the sensor data;

[0117] S303: Determine whether there is a sensor-level fault. If so, eliminate the sensor fault according to the sensor fault troubleshooting guidance plan; otherwise, execute step 304;

[0118] S304: Perform device-level fault diagnosis on the device based on the associated device data;

[0119] S305: Determine whether there is a device-level fault. If so, eliminate the device fault according to the troubleshooting guidance plan for the device-level fault; otherwise, jump to step 301 and perform the next round of step-by-step fault diagnosis on the sensor and related devices based on the newly collected sensor data and device data.

[0120] Based on the same inventive concept as the above method embodiment, the present application embodiment also provides a fault diagnosis device. Figure 4 As shown in the structural diagram, the fault diagnosis device 400 may include:

[0121] The data acquisition unit 401 is used to collect sensor data of sensors in the clean air conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and the devices;

[0122] The fault diagnosis unit 402 is used to perform step-by-step fault diagnosis on the clean air-conditioning system based on the sensor data in combination with the associated equipment data and the system data. When it is diagnosed that the clean air-conditioning system has a corresponding level of fault, the fault is eliminated according to the troubleshooting guidance plan for the corresponding level of fault, and the next level of diagnosis is stopped for the fault phenomenon caused by the corresponding level of fault.

[0123] Optionally, the fault diagnosis unit 402 is used to:

[0124] Based on the sensor data, perform sensor-level fault diagnosis on the sensor of the clean air conditioning system, and when diagnosing that the sensor has a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault;

[0125] When it is diagnosed that the sensor does not have a sensor-level fault, based on the associated device data, perform device-level fault diagnosis on the device, and when it is diagnosed that the device has a device-level fault, eliminate the fault of the device according to the troubleshooting guidance plan of the device-level fault;

[0126] When it is diagnosed that there is no device-level fault in the device, the subsystem is diagnosed with a system-level fault based on the associated system data; when it is diagnosed that there is a system-level fault in the subsystem, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault; when it is diagnosed that there is no system-level fault in the subsystem, the next round of step-by-step fault diagnosis is performed on the sensor and the associated device and subsystem.

[0127] Optionally, the fault diagnosis unit 402 is used to:

[0128] Based on the diagnostic rules in the sensor-level fault diagnosis model and the collected sensor data, performing fault diagnosis on the sensor of the clean air conditioning system;

[0129] When the first fault diagnosis result is that the sensor has a sensor-level fault, the fault of the sensor is eliminated according to a troubleshooting guidance plan for a sensor-level fault.

[0130] Optionally, the fault diagnosis unit 402 is used to:

[0131] Performing fault diagnosis on the device based on the diagnosis rules in the device-level fault diagnosis model and the collected device data;

[0132] When the second fault diagnosis result is that the device has a device-level fault, the fault of the device is eliminated according to the troubleshooting guidance plan for the device-level fault.

[0133] Optionally, the fault diagnosis unit 402 is used to:

[0134] Performing fault diagnosis on the subsystem based on the diagnosis rules in the system-level fault diagnosis model and the collected system data;

[0135] When the third fault diagnosis result is that the subsystem has a system-level fault, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault.

[0136] Optionally, when the sensor has no association relationship with other devices or other subsystems of the clean air conditioning system, the fault diagnosis unit 402 is further used to:

[0137] Collecting sensor data of sensors in the clean air conditioning system, and performing sensor-level fault diagnosis on the sensors of the clean air conditioning system based on the sensor data;

[0138] When it is diagnosed that the sensor has a sensor-level fault, the sensor fault is eliminated according to the troubleshooting guidance plan of the sensor fault; when it is diagnosed that there is no sensor-level fault, the next round of sensor-level fault diagnosis is performed on the clean air conditioning system.

[0139] Optionally, when the sensor, the device and other subsystems of the clean air conditioning system have no association relationship, the fault diagnosis unit 402 is further used to:

[0140] Collect sensor data of sensors in the clean air conditioning system and device data of devices associated with the sensors;

[0141] Based on the sensor data, perform a next round of sensor-level fault diagnosis on the sensor, and when the sensor is diagnosed to have a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault;

[0142] When diagnosing that there is no sensor-level fault in the sensor, perform device-level fault diagnosis on the device based on the associated device data; when diagnosing that there is a device-level fault in the device, eliminate the fault of the device in accordance with the troubleshooting guidance plan for the device-level fault; when diagnosing that there is no device-level fault in the device, perform the next round of step-by-step fault diagnosis on the sensor and the associated device.

[0143] For the convenience of description, the above parts are divided into modules (or units) according to their functions and described separately. Of course, when implementing this application, the functions of each module (or unit) can be implemented in the same or multiple software or hardware.

[0144] After introducing the fault diagnosis method and apparatus according to an exemplary embodiment of the present application, next, a computer device according to another exemplary embodiment of the present application is introduced.

[0145] Those skilled in the art will appreciate that various aspects of the present application may be implemented as a system, method or program product. Therefore, various aspects of the present application may be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to as "circuit", "module" or "system" herein.

[0146] Based on the same inventive concept as the above method embodiment, the present application embodiment also provides a computer device, see Figure 5 As shown, the computer device 500 may include at least a processor 501 and a memory 502. The memory 502 stores program codes, and when the program codes are executed by the processor 501, the processor 501 executes the steps of any one of the above fault diagnosis methods.

[0147] In some possible implementations, the computing device according to the present application may include at least one processor and at least one memory. The memory stores program code, and when the program code is executed by the processor, the processor executes the steps of the fault diagnosis method according to various exemplary implementations of the present application described above in this specification. For example, the processor may execute the following steps: Figure 1A Follow the steps shown in .

[0148] Refer to the following Figure 6 hereinafter, a computing device 600 according to this embodiment of the present application is described. Figure 6The computing device 600 is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0149] like Figure 6 As shown, the computing device 600 is in the form of a general computing device. The components of the computing device 600 may include but are not limited to: at least one processing unit 601, at least one storage unit 602, and a bus 603 connecting different system components (including the storage unit 602 and the processing unit 601).

[0150] Bus 603 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

[0151] The storage unit 602 may include a readable medium in the form of a volatile memory, such as a random access memory (RAM) 6021 and / or a cache memory unit 6022 , and may further include a read-only memory (ROM) 6023 .

[0152] The storage unit 602 may also include a program / utility 6025 having a set (at least one) of program modules 6024, such program modules 6024 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0153] The computing device 600 may also communicate with one or more external devices 604 (e.g., keyboards, pointing devices, etc.), one or more devices that enable a user to interact with the computing device 600, and / or any device that enables the computing device 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 605. In addition, the computing device 600 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 606. As shown, the network adapter 606 communicates with other modules for the computing device 600 via a bus 603. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the computing device 600, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0154] Based on the same inventive concept as the above method embodiment, various aspects of the fault diagnosis method provided by the present application can also be implemented in the form of a program product, which includes program code. When the program product is run on a computer device, the program code is used to enable the computer device to execute the steps of the fault diagnosis method according to various exemplary embodiments of the present application described above in this specification. For example, the computer device can execute the following steps: Figure 1A Follow the steps shown in .

[0155] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0156] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0157] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A fault diagnosis method, characterized in that: include: Collecting sensor data of sensors in the clean air conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and the devices; Based on the sensor data, combined with the associated equipment data and the system data, the clean air-conditioning system is diagnosed with faults at each level. When it is diagnosed that the clean air-conditioning system has a fault of a corresponding level, the fault is eliminated according to the troubleshooting guidance plan for the fault of the corresponding level, and the next level of diagnosis is stopped for the fault phenomenon caused by the fault of the corresponding level.

2. The method according to claim 1, characterized in that The step-by-step fault diagnosis of the clean air conditioning system based on the sensor data and in combination with the associated device data and the system data includes: Based on the sensor data, perform sensor-level fault diagnosis on the sensor of the clean air conditioning system, and when diagnosing that the sensor has a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault; When it is diagnosed that the sensor does not have a sensor-level fault, based on the associated device data, perform device-level fault diagnosis on the device, and when it is diagnosed that the device has a device-level fault, eliminate the fault of the device according to the troubleshooting guidance plan of the device-level fault; When it is diagnosed that there is no device-level fault in the device, the subsystem is diagnosed with a system-level fault based on the associated system data; when it is diagnosed that there is a system-level fault in the subsystem, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault; when it is diagnosed that there is no system-level fault in the subsystem, the next round of step-by-step fault diagnosis is performed on the sensor and the associated device and subsystem.

3. The method according to claim 2, characterized in that The performing sensor-level fault diagnosis on the sensor of the clean air conditioning system based on the sensor data includes: Based on the diagnostic rules in the sensor-level fault diagnosis model and the collected sensor data, performing fault diagnosis on the sensor of the clean air conditioning system; When the first fault diagnosis result is that the sensor has a sensor-level fault, the fault of the sensor is eliminated according to a troubleshooting guidance plan for a sensor-level fault.

4. The method according to claim 2, characterized in that The performing device-level fault diagnosis on the device based on the associated device data includes: Performing fault diagnosis on the device based on the diagnosis rules in the device-level fault diagnosis model and the collected device data; When the second fault diagnosis result is that the device has a device-level fault, the fault of the device is eliminated according to the troubleshooting guidance plan for the device-level fault.

5. The method according to claim 2, characterized in that The performing system-level fault diagnosis on the subsystem based on the associated system data includes: Performing fault diagnosis on the subsystem based on the diagnosis rules in the system-level fault diagnosis model and the collected system data; When the third fault diagnosis result is that the subsystem has a system-level fault, the fault of the subsystem is eliminated according to the troubleshooting guidance plan for the system-level fault.

6. The method according to claim 1, characterized in that When the sensor has no association relationship with other devices or other subsystems of the clean air conditioning system, the method further includes: Collecting sensor data of sensors in the clean air conditioning system, and performing sensor-level fault diagnosis on the sensors of the clean air conditioning system based on the sensor data; When it is diagnosed that the sensor has a sensor-level fault, the sensor fault is eliminated according to the troubleshooting guidance plan of the sensor fault; when it is diagnosed that there is no sensor-level fault, the next round of sensor-level fault diagnosis is performed on the clean air conditioning system.

7. The method according to claim 1, characterized in that When the sensor, the device and other subsystems of the clean air conditioning system have no association relationship, the method further includes: Collecting sensor data of sensors in the clean air conditioning system and device data of devices associated with the sensors; Based on the sensor data, perform sensor-level fault diagnosis on the sensor, and when diagnosing that the sensor has a sensor-level fault, eliminate the fault of the sensor according to the troubleshooting guidance plan of the sensor fault; When it is diagnosed that the sensor does not have a sensor-level fault, based on the associated device data, perform device-level fault diagnosis on the device, and when it is diagnosed that the device has a device-level fault, eliminate the fault of the device according to the troubleshooting guidance plan of the device-level fault; When it is diagnosed that there is no device-level fault in the device, the next round of step-by-step fault diagnosis is performed on the sensor and the associated device.

8. A fault diagnosis device, characterized in that: include: A data acquisition unit, used to collect sensor data of sensors in the clean air conditioning system, device data of devices associated with the sensors, and subsystem data of subsystems associated with at least one of the sensors and the devices; The fault diagnosis unit is used to perform step-by-step fault diagnosis on the clean air-conditioning system based on the sensor data in combination with the associated equipment data and the system data. When it is diagnosed that the clean air-conditioning system has a corresponding level of fault, the fault is eliminated according to the troubleshooting guidance plan for the corresponding level of fault, and the next level of diagnosis is stopped for the fault phenomenon caused by the corresponding level of fault.

9. A computer device, characterized in that: It comprises a processor and a memory, wherein the memory stores program codes, and when the program codes are executed by the processor, the processor executes the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: It includes program codes. When the program product is run on a computer device, the program codes are used to make the computer device execute the steps of the method according to any one of claims 1 to 7.