Marine central air conditioner health management and fault diagnosis system

Abstract

The invention discloses a marine central air conditioner health management and fault diagnosis system, which relates to the technical field of air conditioner health management and comprises a sensor module, a data acquisition module, a health management module, a fault diagnosis module, a user interface management module, a communication module and a maintenance management module. The sensor module is used for being installed on all devices and pipelines of the central air conditioner through sensors and detecting state parameters of the central air conditioner. The data acquisition module receives analog quantity signals of various sensors. Through cooperative work of various sensors and various functional modules, various parameters of the central air conditioner can be comprehensively monitored, faults including state monitoring and fault diagnosis of key parts such as a compressor, a refrigerant water system and a cooling water system can be accurately diagnosed, the equipment state can be monitored in real time in cooperation with the health management module, and the health of the central air conditioner can be improved. And reasonable maintenance suggestions and decisions can be provided through data analysis and evaluation to prevent faults in advance, so that the reliability and the service life of the equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning health management, and in particular to a marine central air conditioning health management and fault diagnosis system. Background Art

[0002] As the main means of maritime transportation, the comfort of the internal environment and the reliability of the equipment of ships are becoming increasingly important. The marine central air-conditioning system is a key equipment for maintaining a comfortable cabin environment. Crew members and passengers require suitable environmental conditions such as temperature and humidity during long voyages. These components are prone to wear and corrosion in the complex operating environment of the ship. In recent years, the rapid development of intelligent and information technology has provided technical support for the development of marine central air-conditioning health management and fault diagnosis systems.

[0003] However, in the prior art, most of the current fault diagnosis models are based on certain theories and experiences. Some new faults or faults under special working conditions may not be accurately diagnosed. The failure modes of marine central air-conditioning systems are diverse, which may be the failure of a single component or the failure caused by the interaction between multiple components. The complex failure modes make it difficult to accurately diagnose faults. Summary of the invention

[0004] The purpose of the present invention is to provide a marine central air-conditioning health management and fault diagnosis system to solve the problem that the current fault diagnosis models proposed in the above background technology are mostly based on certain theories and experiences, and some new faults or faults under special working conditions may not be accurately diagnosed. The failure modes of marine central air-conditioning systems are diverse, which may be the failure of a single component or the failure caused by the interaction between multiple components. The complex failure modes make it difficult to accurately diagnose faults.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: a marine central air conditioning health management and fault diagnosis system, comprising a sensor module, a data acquisition module, a health management module, a fault diagnosis module, a user interface management module, a communication module and a maintenance management module; The sensor module is used to detect the status parameters of the central air conditioner by installing the sensor on various devices and pipelines of the central air conditioner; The data acquisition module receives analog signals from various sensors, including vibration, temperature, pressure, flow, current, and voltage, and transmits data through the TCP / IP communication protocol; The health management module is used to monitor the operating status of the equipment in real time, analyze and process the operating data, determine the steady state / unsteady state of the chiller operation, and the state of key operating parameters, display the time-varying curve, and evaluate the health status to provide maintenance suggestions; The fault diagnosis module is used to diagnose faults that occur during the operation of the unit and calculate the fault diagnosis probability and the fault time ratio; The user interface management module provides a graphical interface to display system status, historical data and fault information, and supports remote access and management of the air conditioning system by a monitoring center or mobile device; The communication module provides an API interface for data interaction with other ship management systems, supports TCP / IP, Modbus, CAN bus, RS-485 communication protocols for data exchange and interconnection, and has a network interface for remote monitoring and control via the Internet; The maintenance management module is used to regularly generate maintenance reports and operation efficiency analysis, and record maintenance history and system changes.

[0006] Preferably, the sensor module includes a vibration sensor, a temperature sensor, a pressure sensor and a flow sensor. By installing various types of sensors on key equipment and pipelines of the central air conditioner, it is possible to perform comprehensive state parameter detection on various key parts of the system, providing a rich data basis for subsequent data analysis and fault diagnosis. Different sensors monitor specific parameters, which helps to accurately understand the performance status, discover potential problems in advance, and provide a clear direction for maintenance; The vibration sensor is used to detect the vibration frequency of the compressor, predict the performance status of the compressor, and is installed on the bearing seat of the compressor; The temperature sensor is used to detect the suction and exhaust temperatures of the compressor, the inlet and outlet temperatures of the refrigerant water, and the inlet and outlet temperatures of the cooling water; The pressure sensor is used to detect the suction and exhaust pressure of the compressor; The flow sensor is used to detect the refrigerant water flow rate and is installed in the refrigerant water outlet pipeline.

[0007] Preferably, the health management module includes a real-time monitoring module, a data analysis module, a state assessment module and a health management decision module. Through the coordinated work of the real-time monitoring module, the data analysis module, the state assessment module and the health management decision module, the operating status of the chiller and the changes in key operating parameters can be timely understood, and intuitively displayed in the form of a time-varying curve, so that maintenance personnel can quickly grasp the operating dynamics of the equipment; The real-time monitoring module is used to collect and record the operating parameters of the unit in real time and monitor the key performance indicators of the equipment; The data analysis module is used to analyze the changing trends of the monitoring data, identify potential abnormal patterns, analyze historical data using a convolutional neural network model, predict the future state of the system, compare the current state with historical data, and identify potential health problems; The status assessment module generates a health score for the system status based on the collected data to assist in determining the operating status of the equipment; The health management decision module makes health management maintenance decisions for unit operation failures based on the health assessment results, provides specific maintenance suggestions and action plans, and helps maintenance personnel take targeted maintenance measures, improve equipment maintenance efficiency, and extend equipment service life.

[0008] Preferably, the fault diagnosis module includes a fault identification module, a fault classification module, a fault location module and a warning and alarm module; The fault identification module is used to compare real-time data with preset health management standards, highlight parameters that deviate from the normal range, and quickly identify potential faults, thereby quickly identifying potential faults and buying time for timely handling of faults; The fault classification module uses fault tree analysis to classify different fault modes and prioritizes faults according to their impact to ensure that important faults are handled in a timely manner; The fault location module automatically tracks the fault based on the monitored abnormal data, locates the specific part or component where the fault occurs, and analyzes the cause of the fault in combination with historical data and operating status, thereby improving the accuracy and pertinence of fault diagnosis; The early warning and alarm module includes fault early warning and alarm. When the fault early warning detects an abnormal situation, it immediately triggers the early warning mechanism, sends a notification to relevant personnel, sets a multi-level alarm mechanism, and adopts different alarm methods according to the level and severity of the fault to ensure that relevant personnel can understand the fault situation in time and take corresponding measures.

[0009] Preferably, the health management standards in the fault identification module include compressor vibration acceleration, vibration speed, exhaust temperature, suction pressure, exhaust pressure, refrigerant water outlet temperature, return water temperature, operating current, chiller voltage, cumulative operating time, refrigerant water flow rate and cooling water inlet and outlet temperature difference.

[0010] Preferably, the user interface management module includes a data visualization module, a fault alarm prompt module, a user authority management module, a database query module and a report output module; The data visualization intuitively displays sensor data and equipment operating status in the form of charts, graphs, and pie charts; The fault alarm prompt module reminds the user of abnormal conditions through sound, flashing prompt or pop-up window; The user authority management module supports authority settings for users of different levels; The database query module queries the health management decision records stored in the database according to the time interval; The report output module is used to output unit operating parameters, sensor faults, unit operating faults, and health management decision records to generate a Word report.

[0011] Preferably, the communication module includes data transmission, network connection and remote access control; The data transmission is used to collect and upload real-time data through sensors. In the case of unstable or offline network, the data buffering mechanism is used to ensure that the data will not be lost, and the data will be uploaded after the network is restored; The network connection supports wired connection and Wi-Fi, 4G / 5G wireless communication methods; The remote access control is connected to the cloud platform via the Internet, and the system can be remotely monitored and controlled at any location via a mobile phone or computer.

[0012] Preferably, the maintenance management module includes maintenance plan scheduling, maintenance record management and fault analysis output modules; The maintenance plan scheduling is used to automatically generate a regular maintenance plan based on equipment usage, operating hours and historical maintenance records, and supports scheduling management of maintenance tasks; The maintenance record management records detailed information of each maintenance; The fault analysis output module generates a fault analysis report according to the diagnosis result of the fault diagnosis module for maintenance personnel to locate the problem.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, through the coordinated work of multiple sensors and various functional modules, various parameters of the central air conditioner can be fully monitored and faults can be accurately diagnosed, including status monitoring and fault diagnosis of key parts such as the compressor, refrigerant water system, and cooling water system. In conjunction with the health management module, it can not only monitor the equipment status in real time, but also provide reasonable maintenance suggestions and decisions through data analysis and evaluation, which is helpful to prevent faults in advance and improve the reliability and service life of the equipment.

[0014] 2. In the present invention, a graphical interface is provided to facilitate users to view system status, historical data and fault information. It can be easily operated whether in the monitoring center or through remote access by mobile devices. It supports the authority setting of users of different levels to ensure system security. It also supports multiple communication protocols and network connection methods, can exchange data with other ship management systems, realize remote monitoring and control, and ensure that data is not lost through a data buffering mechanism when the network is unstable, thereby improving the adaptability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The present invention is a system block diagram of a marine central air-conditioning health management and fault diagnosis system.

[0016] In the figure: 1. Sensor module; 2. Data acquisition module; 3. Health management module; 31. Real-time monitoring module; 32. Data analysis module; 33. Status assessment module; 34. Health management decision module; 4. Fault diagnosis module; 41. Fault identification module; 42. Fault classification module; 43. Fault location module; 44. Early warning and alarm module; 5. User interface management module; 6. Communication module; 7. Maintenance management module. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Reference Figure 1 As shown: A marine central air conditioning health management and fault diagnosis system, including a sensor module 1, a data acquisition module 2, a health management module 3, a fault diagnosis module 4, a user interface management module 5, a communication module 6 and a maintenance management module 7; The sensor module 1 is used to detect the status parameters of the central air conditioner and accurately diagnose faults through sensors installed on various devices and pipelines of the central air conditioner, including status monitoring and fault diagnosis of key parts such as the compressor, refrigerant water system, and cooling water system; specifically, it includes vibration sensors, temperature sensors, pressure sensors, and flow sensors; The vibration sensor is used to detect the vibration frequency of the compressor and predict the performance status of the compressor. It is installed on the compressor bearing seat. The temperature sensor is used to detect the suction and exhaust temperature of the compressor, the inlet and outlet temperature of the refrigerant water, and the inlet and outlet temperature of the cooling water. The pressure sensor is used to detect the suction and exhaust pressure of the compressor. The flow sensor is used to detect the refrigerant water flow rate and is installed in the refrigerant water outlet pipe. The data acquisition module 2 receives analog signals from various sensors, including vibration, temperature, pressure, flow, current, and voltage, and transmits data through the TCP / IP communication protocol, ensuring that the data can be quickly and accurately transferred from the sensor to the subsequent processing module, reducing delays and errors in the data transmission process, and improving the real-time performance and reliability of the entire system; The health management module 3 is used to monitor the operation status of the equipment in real time, analyze and process the operation data, determine the steady state / unsteady state of the chiller operation status, and the status of key operation parameters, display the time-varying curve, and evaluate the health status to provide maintenance suggestions. By intuitively displaying in the form of a time-varying curve, maintenance personnel can quickly grasp the operation dynamics of the equipment; specifically, it includes a real-time monitoring module 31, a data analysis module 32, a status evaluation module 33 and a health management decision module 34; The real-time monitoring module 31 is used to collect and record the operating parameters of the unit in real time and monitor the key performance indicators of the equipment; The data analysis module 32 is used to analyze the changing trends of the monitoring data, identify potential abnormal patterns, analyze historical data using a convolutional neural network model, predict the future state of the system, compare the current state with historical data, and identify potential health problems; The status assessment module 33 generates a health score for the system status based on the collected data to assist in determining the operating status of the equipment; The health management decision module 34 makes health management maintenance decisions for unit operation failures based on the health assessment results, and provides specific maintenance suggestions and action plans; The fault diagnosis module 4 is used to diagnose faults occurring during the operation of the unit and calculate the fault diagnosis probability and the fault time ratio; specifically, it includes a fault identification module 41, a fault classification module 42, a fault location module 43 and a warning and alarm module 44; The fault identification module 41 is used to compare the real-time data with the preset health management standards, highlight the parameters that deviate from the normal range, and quickly identify potential faults; Among them, the health management standards include compressor vibration acceleration, vibration speed, exhaust temperature, suction pressure, exhaust pressure, refrigerant water outlet temperature, return water temperature, operating current, chiller voltage, cumulative operating time, refrigerant water flow rate and cooling water inlet and outlet temperature difference. The specific contents of the health management standards are shown in the following table.

[0019]

[0020] The fault classification module 42 uses fault tree analysis to classify different fault modes and prioritizes the faults according to their impact to ensure that important faults are handled in a timely manner; The fault location module 43 automatically tracks the fault based on the monitored abnormal data, locates the specific part or component where the fault occurs, and analyzes the cause of the fault in combination with historical data and operating status, thereby improving the accuracy and pertinence of fault diagnosis; The early warning and alarm module 44 includes fault early warning and alarm. When the fault early warning detects an abnormal situation, it immediately triggers the early warning mechanism and sends a notification to relevant personnel. A multi-level alarm mechanism is set up to adopt different alarm methods according to the level and severity of the fault, so as to ensure that relevant personnel can understand the fault situation in time and take corresponding measures; The user interface management module 5 provides a graphical interface to display system status, historical data and fault information, and supports remote access and management of the air-conditioning system by the monitoring center or mobile devices; specifically, it includes a data visualization module, a fault alarm prompt module, a user authority management module, a database query module and a report output module; Data visualization uses charts, graphs, and pie charts to intuitively display sensor data and equipment operating status, making complex data easy to understand and allowing users to quickly obtain key information. The fault alarm prompt module reminds users of abnormal conditions through sound, flashing prompts or pop-up windows; The user authority management module supports the authority setting of users at different levels, ensuring the security of the system and the confidentiality of data; The database query module queries the health management decision records stored in the database according to the time interval; The report output module is used to output unit operating parameters, sensor faults, unit operating faults, and health management decision records to generate Word reports; The communication module 6 provides an API interface for data interaction with other ship management systems, supports TCP / IP, Modbus, CAN bus, RS-485 communication protocols for data exchange and interconnection, and has a network interface for remote monitoring and control through the Internet; specifically, it includes data transmission, network connection and remote access control; Data transmission is used to collect and upload real-time data through sensors. In the case of unstable or offline network, the data buffering mechanism is used to ensure that the data will not be lost, and the data will be uploaded after the network is restored. The network connection supports wired connection and Wi-Fi, 4G / 5G wireless communication methods. Remote access control connects to the cloud platform through the Internet, and remotely monitors and controls the system from any location through a mobile phone or computer. The maintenance management module 7 is used to regularly generate maintenance reports and operation efficiency analysis, record maintenance history and system changes; specifically, it includes maintenance plan scheduling, maintenance record management and fault analysis output modules; The maintenance plan scheduling is used to automatically generate regular maintenance plans based on equipment usage, operating hours and historical maintenance records, and supports the scheduling management of maintenance tasks; the maintenance record management records detailed information for each maintenance; the fault analysis output module generates a fault analysis report based on the diagnosis results of the fault diagnosis module 4 for maintenance personnel to locate the problem.

[0021] Through the coordinated work of multiple sensors and functional modules, this system can comprehensively monitor various parameters of central air conditioning and accurately diagnose faults, including status monitoring and fault diagnosis of key parts such as compressors, refrigerant water systems, and cooling water systems. It can not only monitor the equipment status in real time, but also provide reasonable maintenance suggestions and decisions through data analysis and evaluation, which helps to prevent faults in advance and improve the reliability and service life of equipment. The graphical interface provided is convenient for users to view system status, historical data and fault information. It can be easily operated whether in the monitoring center or through remote access via mobile devices. At the same time, it supports permission settings for users of different levels to ensure system security, supports multiple communication protocols and network connection methods, can exchange data with other ship management systems, realize remote monitoring and control, and ensure that data is not lost through a data buffering mechanism when the network is unstable, which improves the adaptability and reliability of the system. At the same time, it can automatically generate maintenance plans according to equipment usage, record maintenance history and system changes, and generate fault analysis reports, providing comprehensive support for maintenance personnel and helping to improve maintenance efficiency and quality.

[0022] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A marine central air conditioning health management and fault diagnosis system, characterized in that: It comprises a sensor module (1), a data acquisition module (2), a health management module (3), a fault diagnosis module (4), a user interface management module (5), a communication module (6) and a maintenance management module (7); The sensor module (1) is used to detect the status parameters of the central air conditioner by installing the sensor on various devices and pipelines of the central air conditioner; The data acquisition module (2) receives analog signals from various sensors, including vibration, temperature, pressure, flow, current, and voltage, and transmits the data via the TCP / IP communication protocol; The health management module (3) is used to monitor the operating status of the equipment in real time, analyze and process the operating data, determine whether the operating status of the chiller is steady-state or non-steady-state, and the status of key operating parameters, display time-varying curves, and evaluate the health status to provide maintenance suggestions; The fault diagnosis module (4) is used to diagnose faults occurring during the operation of the unit and calculate the fault diagnosis probability and the fault time ratio; The user interface management module (5) provides a graphical interface to display system status, historical data and fault information, and supports remote access and management of the air conditioning system by a monitoring center or mobile devices; The communication module (6) provides an API interface for data interaction with other ship management systems, supports TCP / IP, Modbus, CAN bus, RS-485 communication protocols for data exchange and interconnection, and has a network interface for remote monitoring and control via the Internet; The maintenance management module (7) is used to regularly generate maintenance reports and operating efficiency analysis, and record maintenance history and system changes.

2. A marine central air conditioning health management and fault diagnosis system according to claim 1, characterized in that: The sensor module (1) comprises a vibration sensor, a temperature sensor, a pressure sensor and a flow sensor; The vibration sensor is used to detect the vibration frequency of the compressor, predict the performance status of the compressor, and is installed on the bearing seat of the compressor; The temperature sensor is used to detect the suction and exhaust temperatures of the compressor, the inlet and outlet temperatures of the refrigerant water, and the inlet and outlet temperatures of the cooling water; The pressure sensor is used to detect the suction and exhaust pressure of the compressor; The flow sensor is used to detect the refrigerant water flow rate and is installed in the refrigerant water outlet pipeline.

3. A marine central air conditioning health management and fault diagnosis system according to claim 1, characterized in that: The health management module (3) comprises a real-time monitoring module (31), a data analysis module (32), a status assessment module (33) and a health management decision module (34); The real-time monitoring module (31) is used to collect and record the operating parameters of the unit in real time and monitor the key performance indicators of the equipment; The data analysis module (32) is used to analyze the changing trends of the monitoring data, identify potential abnormal patterns, analyze historical data using a convolutional neural network model, predict the future state of the system, compare the current state with historical data, and identify potential health problems; The state assessment module (33) generates a health score for the system state based on the collected data to assist in determining the operating status of the equipment; The health management decision module (34) makes health management repair and maintenance decisions for unit operation failures based on the health assessment results, and provides specific maintenance suggestions and action plans.

4. A marine central air conditioning health management and fault diagnosis system according to claim 1, characterized in that: The fault diagnosis module (4) comprises a fault identification module (41), a fault classification module (42), a fault location module (43) and a warning and alarm module (44); The fault identification module (41) is used to compare the real-time data with the preset health management standard, highlight the parameters that deviate from the normal range, and quickly identify potential faults; The fault classification module (42) uses fault tree analysis to classify different fault modes, and prioritizes the faults according to their impact, to ensure that important faults are handled in a timely manner; The fault location module (43) automatically tracks the fault based on the monitored abnormal data, locates the specific part or component where the fault occurs, and analyzes the cause of the fault in combination with historical data and operating status; The early warning and alarm module (44) includes fault early warning and alarm. When the fault early warning detects an abnormal situation, it immediately triggers the early warning mechanism and sends a notification to relevant personnel. A multi-level alarm mechanism is set up, and different alarm methods are adopted according to the level and severity of the fault.

5. A marine central air conditioning health management and fault diagnosis system according to claim 4, characterized in that: The health management standards in the fault identification module (41) include compressor vibration acceleration, vibration speed, exhaust temperature, suction pressure, exhaust pressure, refrigerant water outlet temperature, return water temperature, operating current, chiller voltage, cumulative operating time, refrigerant water flow rate and cooling water inlet and outlet temperature difference.

6. A marine central air conditioning health management and fault diagnosis system according to claim 1, characterized in that: The user interface management module (5) includes a data visualization module, a fault alarm prompt module, a user authority management module, a database query module and a report output module; The data visualization intuitively displays sensor data and equipment operating status in the form of charts, graphs, and pie charts; The fault alarm prompt module reminds the user of abnormal conditions through sound, flashing prompt or pop-up window; The user authority management module supports authority settings for users of different levels; The database query module queries the health management decision records stored in the database according to the time interval; The report output module is used to output unit operating parameters, sensor faults, unit operating faults, and health management decision records to generate a Word report.

7. A marine central air conditioning health management and fault diagnosis system according to claim 1, characterized in that: The communication module (6) includes data transmission, network connection and remote access control; The data transmission is used to collect and upload real-time data through sensors. In the case of unstable or offline network, the data buffering mechanism is used to ensure that the data will not be lost, and the data will be uploaded after the network is restored; The network connection supports wired connection and Wi-Fi, 4G / 5G wireless communication methods; The remote access control is connected to the cloud platform via the Internet, and the system can be remotely monitored and controlled at any location via a mobile phone or computer.

8. A marine central air conditioning health management and fault diagnosis system according to claim 1, characterized in that: The maintenance management module (7) includes maintenance plan scheduling, maintenance record management and fault analysis output modules; The maintenance plan scheduling is used to automatically generate a regular maintenance plan based on equipment usage, operating hours and historical maintenance records, and supports scheduling management of maintenance tasks; The maintenance record management records detailed information of each maintenance; The fault analysis output module generates a fault analysis report based on the diagnosis result of the fault diagnosis module (4) for maintenance personnel to locate the problem.

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