Intelligent monitoring method and system for air compressor of heavy-duty locomotive

Abstract

The invention provides an intelligent monitoring method for an air compressor of a heavy-load locomotive, and relates to the technical field of safety monitoring. Comprising the steps that the compressor suction temperature T1, the compressor system temperature T2, the compressor exhaust temperature T3, the compressor environment temperature T4, the compressor air inlet pressure P1, the compressor exhaust pressure P2, the compressor oil separation front pressure P3, the compressor oil pressure P4 and the compressor exhaust flow L1 are collected, then working parameters are collected, and a preset intelligent algorithm is applied, so that the working parameters of the compressor are obtained. And the current working state of the compressor is judged, and when abnormity is detected, the controller gives an alarm and provides corresponding maintenance suggestions. By monitoring key components and key parameters of the locomotive air compressor, overhaul and maintenance specifications can be made for the locomotive air compressor more effectively and intelligently, stable operation of the locomotive air compressor is ensured, potential faults are found in time, and equipment reliability and maintenance efficiency are improved.

Description

Technical Field

[0001] The present application relates to the field of safety monitoring technology, and in particular to an intelligent monitoring method and system for a heavy-load locomotive air compressor. Background Art

[0002] The locomotive air compressor is the core component of the locomotive air source system, and the air source system is responsible for providing high-quality, clean, dry and stable compressed air to the pneumatic devices and brakes of the entire train. If the air compressor of a heavy-loaded train suddenly fails during operation, the train will cause the various pneumatic devices of the train to malfunction due to poor air supply, especially the brake system, which will seriously affect the safety of train operation.

[0003] At present, the working status of locomotive compressors is mainly judged by the total wind pressure to determine whether the locomotive air compressor is working normally, but the working status of each component of the locomotive air compressor is not monitored and diagnosed. When the work is abnormal, the cause of the fault and the faulty component cannot be known, and there is no effective emergency response method. Moreover, the inspection and maintenance of each component of the locomotive air compressor are formulated according to the accumulated working time. This non-targeted inspection and maintenance strategy will result in low maintenance efficiency and high maintenance costs. Summary of the invention

[0004] The embodiments of the present application provide a method and system for intelligently monitoring an air compressor of a heavy-duty locomotive to improve the above-mentioned problems.

[0005] In order to achieve the above objectives, this application adopts the following technical solutions:

[0006] In a first aspect, an embodiment of the present application proposes an intelligent monitoring method for a heavy-load locomotive air compressor, which is applicable to an intelligent monitoring system for a heavy-load locomotive air compressor, the system including a controller, and the method including:

[0007] The controller collects the working parameters of the air compressor in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1;

[0008] The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm;

[0009] When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions.

[0010] In combination with the first aspect, in some implementations, the controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm, including:

[0011] The controller determines whether the compressor is in a normal working state, whether there are abnormal conditions such as overheating, overpressure or overcurrent; and determines whether the efficiency of the compressor decreases, whether maintenance or replacement of parts is required;

[0012] The controller further automatically adjusts the operating parameters of the compressor according to the judgment result to optimize its performance and prolong its service life.

[0013] In combination with the first aspect, in some implementations, the controller further automatically adjusts the operating parameters of the compressor according to the judgment result, including:

[0014] If it is detected that the efficiency of the compressor decreases, the controller will automatically adjust the intake air volume or exhaust air pressure to reduce energy consumption and improve output efficiency;

[0015] If it is determined that the compressor is overheated, the controller will reduce the operating frequency or start the cooling system to prevent equipment damage.

[0016] In combination with the first aspect, in some embodiments, the method further includes:

[0017] The controller monitors the key data and key parameters of the locomotive air compressor in real time during operation, and determines in real time whether the various components of the compressor are working normally. When an abnormal situation occurs, the controller reminds the crew to take emergency measures through voice or text.

[0018] In combination with the first aspect, in some embodiments, the method further includes:

[0019] The controller collects information such as temperature, pressure, flow rate and the like of key parts of the compressor, and monitors in real time whether the working status of the compressor is normal. When an abnormality occurs, a graded warning is issued according to the severity of the fault, and the warning is sent to the vehicle-mounted intelligent center via Ethernet.

[0020] In a second aspect, the present application proposes an intelligent monitoring system for a heavy-duty locomotive air compressor, the system comprising a controller, the system being configured as follows:

[0021] The controller collects the working parameters of the air compressor in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1;

[0022] The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm;

[0023] When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions.

[0024] In conjunction with the second aspect, the system is configured to:

[0025] The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm, including:

[0026] The controller determines whether the compressor is in a normal working state, whether there are abnormal conditions such as overheating, overpressure or overcurrent; and determines whether the efficiency of the compressor decreases, whether maintenance or replacement of parts is required;

[0027] The controller further automatically adjusts the operating parameters of the compressor according to the judgment result to optimize its performance and prolong its service life.

[0028] In conjunction with the second aspect, the system is configured to:

[0029] The controller further automatically adjusts the working parameters of the compressor according to the judgment result, including:

[0030] If it is detected that the efficiency of the compressor decreases, the controller will automatically adjust the intake air volume or exhaust air pressure to reduce energy consumption and improve output efficiency;

[0031] If it is determined that the compressor is overheated, the controller will reduce the operating frequency or start the cooling system to prevent equipment damage.

[0032] In conjunction with the second aspect, the system is configured to:

[0033] The method further comprises:

[0034] The controller monitors the key data and key parameters of the locomotive air compressor in real time during operation, and determines in real time whether the various components of the compressor are working normally. When an abnormal situation occurs, the controller reminds the crew to take emergency measures through voice or text.

[0035] In conjunction with the second aspect, the system is configured to:

[0036] The method further comprises:

[0037] The controller collects information such as temperature, pressure, flow rate and the like of key parts of the compressor, and monitors in real time whether the working status of the compressor is normal. When an abnormality occurs, a graded warning is issued according to the severity of the fault, and the warning is sent to the vehicle-mounted intelligent center via Ethernet.

[0038] In combination with the second aspect, the system is configured as follows: including a processor module, the processor is designed using Zhou Ligong core board M6Y2C-512F4GLI-T, integrating data processing, storage, display, download, communication and other functions, and interacting with the on-board intelligent center for data.

[0039] A third aspect of an embodiment of the present invention provides an electronic device, the electronic device comprising:

[0040] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in the first aspect of the embodiment of the present invention.

[0041] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect of the embodiment of the present invention.

[0042] In summary, the above method and device have the following technical effects:

[0043] The present application proposes an intelligent monitoring method for heavy-duty locomotive air compressors. First, the operating parameters of the air compressor are collected in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1. Then, the operating parameters are collected and the current working state of the compressor is determined by using a pre-set intelligent algorithm. When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions. Monitoring of key components and key parameters of locomotive air compressors can more effectively and intelligently formulate inspection and maintenance specifications for locomotive air compressors, ensure the stable operation of locomotive air compressors, detect potential faults in a timely manner, and improve equipment reliability and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flow chart of an intelligent monitoring method for a heavy-load locomotive air compressor proposed in this application.

[0045] Figure 2 This is a principle block diagram of an intelligent monitoring method for a heavy-load locomotive air compressor proposed in this application. DETAILED DESCRIPTION

[0046] 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 described embodiments are 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.

[0047] This application proposes a heavy-duty locomotive air compressor intelligent monitoring method, which is applicable to a heavy-duty locomotive air compressor intelligent monitoring system, the system includes a controller, see Figure 1 , the method comprising:

[0048] S101: The controller collects the working parameters of the air compressor in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pre-pressure P3, compressor oil pressure P4 and compressor exhaust flow L1.

[0049] S102: The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm.

[0050] It can be understood that the controller determines whether the compressor is in a normal working state, whether there are abnormal conditions such as overheating, overpressure or overcurrent; and whether the efficiency of the compressor has decreased, whether maintenance or replacement of parts is required. The controller further automatically adjusts the operating parameters of the compressor based on the judgment results to optimize its performance and extend its service life.

[0051] Specifically, if it is detected that the efficiency of the compressor decreases, the controller will automatically adjust the intake volume or exhaust pressure to reduce energy consumption and improve output efficiency; if it is determined that the compressor is overheating, the controller will reduce the operating frequency or start the cooling system to prevent equipment damage.

[0052] In the specific implementation process, if the detection system finds that the efficiency of the compressor has decreased, the controller will automatically take measures to adjust it. Specifically, the controller will automatically adjust the compressor's intake volume or exhaust pressure according to the current working status and environmental conditions. This can effectively reduce the compressor's energy consumption while improving its output efficiency and ensuring that the equipment operates in the best condition. In addition, if the system determines that the compressor is overheating, the controller will immediately take measures to prevent damage to the equipment. These measures include reducing the compressor's operating frequency to reduce the heat it generates, or starting the cooling system to remove excess heat through the cooling medium. Through these automated adjustments and protection measures, it can ensure that the compressor operates in an efficient and safe state, extend the service life of the equipment, and improve overall work efficiency.

[0053] In other embodiments, the controller monitors the key data and key parameters of the locomotive air compressor in real time during operation to determine whether the various components of the compressor are operating normally. When an abnormal situation occurs, the controller reminds the crew to take emergency measures through voice or text.

[0054] In some other embodiments, the controller can monitor the key data and key parameters involved in the operation of the locomotive air compressor in real time. Through this real-time monitoring, the controller can accurately determine whether the various components of the compressor are in normal working condition. Once any abnormal situation is detected, the controller will immediately take measures to issue an alarm to the crew through voice prompts or text messages to remind them to take appropriate emergency measures. This design ensures the safety and reliability of locomotive operation, and also improves the crew's ability to perceive the status of the equipment, allowing them to quickly respond to possible emergencies.

[0055] S103: When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions. In other embodiments, the controller collects information such as temperature, pressure, flow rate, etc. of key parts of the compressor, monitors in real time whether the compressor is working normally, and when an abnormality occurs, provides graded warnings according to the severity of the fault, and sends them to the vehicle-mounted intelligent center via Ethernet.

[0056] It is understandable that when any abnormal situation is detected, the controller will immediately send out an alarm signal and provide corresponding maintenance suggestions based on the detected problems. In some other embodiments, the controller will collect various information such as temperature, pressure, flow rate, etc. of key parts of the compressor to monitor in real time whether the working state of the compressor is in a normal state. Once any abnormal situation is found, the controller will issue graded warnings according to the severity of the fault. These warning information will be transmitted to the on-board intelligent center by the controller in real time via Ethernet so that relevant personnel can understand the operating status of the compressor in a timely manner and take corresponding measures.

[0057] Please refer to 2. The intelligent monitoring device for heavy-duty locomotive air compressor collects information such as temperature, pressure, flow, etc. of key parts of the compressor, and monitors in real time whether the compressor is working normally. When an abnormality occurs, it will issue graded warnings according to the severity of the fault and send them to the on-board intelligent center via Ethernet.

[0058] (1) Analog input acquisition circuit

[0059] The device sends the DC4-20mA current signals output by 9 sensors such as T1-T4, P1-P4, and L1 to the processor for data processing and calculation through sampling circuit and AD conversion circuit.

[0060] (2) Digital input acquisition circuit

[0061] The device sends the DC110V voltage signal output by two-way temperature and pressure switches such as T5 and P5 to the processor for data processing and calculation after passing through conversion circuits such as step-down and optical coupling isolation.

[0062] (3) Processor module

[0063] The processor is designed with Zhou Ligong core board M6Y2C-512F4GLI-T, integrating data processing, storage, display, download, communication and other functions, and interacting with the on-board intelligent center. Its main features are as follows:

[0064] Communication function: Integrates multiple communication methods such as Ethernet, CAN, serial port, etc., can communicate with the on-board center through Ethernet, obtain locomotive comprehensive operation information, and send compressor real-time monitoring data and alarm information.

[0065] Storage function: record the temperature, pressure, flow and other sensor and solenoid valve status information of the key parts of the compressor once per second.

[0066] Display and button functions: The OLED display screen can display the current temperature, pressure, warning, alarm, etc. in real time, and the compressor maintenance status can be checked by pressing buttons.

[0067] The present application proposes an intelligent monitoring method for heavy-duty locomotive air compressors. First, the operating parameters of the air compressor are collected in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1. Then, the operating parameters are collected and the current working state of the compressor is determined by using a pre-set intelligent algorithm. When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions. Monitoring of key components and key parameters of locomotive air compressors can more effectively and intelligently formulate inspection and maintenance specifications for locomotive air compressors, ensure the stable operation of locomotive air compressors, detect potential faults in a timely manner, and improve equipment reliability and maintenance efficiency.

[0068] Based on the same inventive concept, the present application proposes an intelligent monitoring system for a heavy-duty locomotive air compressor, the system comprising a controller, and the system is configured as follows:

[0069] The controller collects the working parameters of the air compressor in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1;

[0070] The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm;

[0071] When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions.

[0072] The system is configured to:

[0073] The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm, including:

[0074] The controller determines whether the compressor is in a normal working state, whether there are abnormal conditions such as overheating, overpressure or overcurrent; and determines whether the efficiency of the compressor decreases, whether maintenance or replacement of parts is required;

[0075] The controller further automatically adjusts the operating parameters of the compressor according to the judgment result to optimize its performance and prolong its service life.

[0076] The system is configured to:

[0077] The controller further automatically adjusts the working parameters of the compressor according to the judgment result, including:

[0078] If it is detected that the efficiency of the compressor decreases, the controller will automatically adjust the intake air volume or exhaust air pressure to reduce energy consumption and improve output efficiency;

[0079] If it is determined that the compressor is overheated, the controller will reduce the operating frequency or start the cooling system to prevent equipment damage.

[0080] The system is configured to:

[0081] The method further comprises:

[0082] The controller monitors the key data and key parameters of the locomotive air compressor in real time during operation, and determines in real time whether the various components of the compressor are working normally. When an abnormal situation occurs, the controller reminds the crew to take emergency measures through voice or text.

[0083] The system is configured to:

[0084] The method further comprises:

[0085] The controller collects information such as temperature, pressure, flow rate and the like of key parts of the compressor, and monitors in real time whether the working status of the compressor is normal. When an abnormality occurs, a graded warning is issued according to the severity of the fault, and the warning is sent to the vehicle-mounted intelligent center via Ethernet.

[0086] The system is configured as follows: including a processor module, the processor is designed using Zhou Ligong core board M6Y2C-512F4GLI-T, integrating data processing, storage, display, download, communication and other functions, and interacting with the on-board intelligent center for data.

[0087] The application proposes an intelligent monitoring system for heavy-duty locomotive air compressors. First, the operating parameters of the air compressor are collected in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pre-pressure P3, compressor oil pressure P4 and compressor exhaust flow L1. Then, the operating parameters are collected and the current working state of the compressor is determined by using a pre-set intelligent algorithm. When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions. Monitoring of key components and key parameters of locomotive air compressors can more effectively and intelligently formulate inspection and maintenance specifications for locomotive air compressors, ensure the stable operation of locomotive air compressors, detect potential faults in a timely manner, and improve equipment reliability and maintenance efficiency.

[0088] Based on the same inventive concept, an embodiment of the present application further proposes an electronic device, the electronic device comprising:

[0089] At least one processor; and, a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the intelligent monitoring method for the heavy-load locomotive air compressor of the embodiment of the present application.

[0090] The electronic device proposed in this application first collects the working parameters of the air compressor in real time through sensors, including collecting the compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1, and then collects the working parameters and judges the current working state of the compressor by using a pre-set intelligent algorithm. When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions. Monitoring the key components and key parameters of locomotive air compressors can more effectively and intelligently formulate inspection and maintenance specifications for locomotive air compressors, ensure the stable operation of locomotive air compressors, detect potential faults in a timely manner, and improve equipment reliability and maintenance efficiency.

[0091] In addition, to achieve the above-mentioned purpose, an embodiment of the present application further proposes a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the intelligent monitoring method for the heavy-load locomotive air compressor of the embodiment of the present application.

[0092] The following is a detailed introduction to the various components of electronic equipment:

[0093] The processor is the control center of the electronic device, which can be a processor or a general term for multiple processing elements. For example, the processor is one or more central processing units (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSP), or one or more field programmable gate arrays (field programmable gate arrays, FPGA).

[0094] Optionally, the processor can perform various functions of the electronic device by running or executing a software program stored in the memory, and calling data stored in the memory.

[0095] The memory is used to store the software program for executing the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can refer to the above method embodiment, which will not be repeated here.

[0096] Optionally, the memory may be a read-only memory (ROM) or other types of static storage devices that can store static information and instructions, a random access memory (RAM) or other types of dynamic storage devices that can store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be integrated with the processor, or may exist independently and be coupled to the processor through an interface circuit of the electronic device, and the embodiments of the present invention do not specifically limit this.

[0097] A transceiver is used to communicate with a network device or a terminal device.

[0098] Optionally, the transceiver may include a receiver and a transmitter, wherein the receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0099] Optionally, the transceiver may be integrated with the processor, or may exist independently and be coupled to the processor via an interface circuit of the router, which is not specifically limited in the embodiment of the present invention.

[0100] In addition, the technical effects of the electronic device can refer to the technical effects of the data transmission method described in the above method embodiment, and will not be repeated here.

[0101] It should be understood that the processor in the embodiment of the present invention may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0102] It should also be understood that the memory in the embodiments of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus RAM (DR RAM).

[0103] The above embodiments can be implemented in whole or in part by software, hardware (such as circuits), firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0104] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0105] In the present invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0106] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0107] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

Claims

1. A method for intelligent monitoring of a heavy-load locomotive air compressor, characterized in that: Applicable to an intelligent monitoring system for a heavy-load locomotive air compressor, the system includes a controller, and the method includes: The controller collects the working parameters of the air compressor in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1; The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm; When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions.

2. The intelligent monitoring method for heavy-load locomotive air compressor according to claim 1 is characterized in that: The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm, including: The controller determines whether the compressor is in a normal working state, whether there are abnormal conditions such as overheating, overpressure or overcurrent; and determines whether the efficiency of the compressor decreases, whether maintenance or replacement of parts is required; The controller further automatically adjusts the operating parameters of the compressor according to the judgment result to optimize its performance and prolong its service life.

3. The intelligent monitoring method for heavy-load locomotive air compressor according to claim 2 is characterized in that: The controller further automatically adjusts the working parameters of the compressor according to the judgment result, including: If it is detected that the efficiency of the compressor decreases, the controller will automatically adjust the intake air volume or exhaust air pressure to reduce energy consumption and improve output efficiency; If it is determined that the compressor is overheated, the controller will reduce the operating frequency or start the cooling system to prevent equipment damage.

4. The intelligent monitoring method for heavy-load locomotive air compressor according to claim 1 is characterized in that: The method further comprises: The controller monitors the key data and key parameters of the locomotive air compressor in real time during operation, and determines in real time whether the various components of the compressor are working normally. When an abnormal situation occurs, the controller reminds the crew to take emergency measures through voice or text.

5. The intelligent monitoring method for heavy-load locomotive air compressor according to claim 1 is characterized in that: The method further comprises: The controller collects information such as temperature, pressure, flow rate and the like of key parts of the compressor, and monitors in real time whether the working status of the compressor is normal. When an abnormality occurs, a graded warning is issued according to the severity of the fault, and the warning is sent to the vehicle-mounted intelligent center via Ethernet.

6. An intelligent monitoring system for heavy-duty locomotive air compressor, characterized in that: The system includes a controller configured to: The controller collects the working parameters of the air compressor in real time through sensors, including compressor suction temperature T1, compressor system temperature T2, compressor exhaust temperature T3, compressor ambient temperature T4, compressor intake pressure P1, compressor exhaust pressure P2, compressor oil pressure P3, compressor oil pressure P4 and compressor exhaust flow L1; The controller collects the working parameters and determines the current working state of the compressor by using a preset intelligent algorithm; When an abnormality is detected, the controller issues an alarm and provides corresponding maintenance suggestions.

7. The intelligent monitoring system for heavy-duty locomotive air compressor according to claim 6 is characterized in that: The system includes a processor module. The processor is designed using Zhou Ligong's core board M6Y2C-512F4GLI-T, integrating data processing, storage, display, downloading, communication and other functions, and interacting with the on-board intelligent center for data.

8. The heavy-load locomotive air compressor intelligent monitoring system according to claim 7 is characterized in that: The system is configured to: If it is detected that the efficiency of the compressor decreases, the controller will automatically adjust the intake air volume or exhaust air pressure to reduce energy consumption and improve output efficiency; If it is determined that the compressor is overheated, the controller will reduce the operating frequency or start the cooling system to prevent equipment damage.

9. An electronic device, characterized in that: Electronic equipment includes: at least one processor; and, a memory communicatively coupled to at least one of the processors; The memory stores instructions executable by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute the method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the program is used by a processor to execute the method according to any one of claims 1 to 5.

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