Abnormal diagnosis method, system, equipment and medium for oxygen source system of oxygen adding equipment

Abstract

This invention provides a method, system, equipment, and medium for diagnosing anomalies in the oxygen source system of an oxygenation equipment. It includes a preset oxygen source system temperature threshold and real-time temperature monitoring; if the temperature exceeds the threshold, an anomaly is identified. Based on historical operating data of the oxygen source system, a curve of the gas source pressure over time is generated, forming a pressure safety limit curve for the air compressor. If the pressure at a certain moment is lower than the pressure value at the corresponding moment on the pressure safety limit curve, an anomaly is identified. A preset oxygen source system filter pressure threshold is also included, and the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor is monitored in real-time. If the difference is greater than or equal to the pressure threshold, an anomaly is identified. Finally, a preset gas source pressure deviation threshold is included, and gas source pressure values ​​are collected in real-time. A three-way mutual deviation check method is used to determine whether the gas source pressure is abnormal. This application improves the safety of boiler oxygenation process operation, saves labor costs for maintaining the oxygen source system, and has wide application potential.

Description

Technical Field

[0001] This invention belongs to the field of adaptive feedwater treatment technology for boilers in the power industry, and specifically relates to a method, system, equipment and medium for abnormal diagnosis of oxygen source system of oxygenation equipment. Background Technology

[0002] Boiler aeration technology not only passivates the inner wall of feedwater pipes, effectively protecting the boiler, but also significantly reduces the pH value of the steam-water circulation system, resulting in substantial energy savings and emission reductions. Consequently, the operational rate of aeration technology has been increasing year by year. Simultaneously, power plants are increasingly stringent in cost control, with growing demands for cost reduction and efficiency improvement, striving for complete automation of aeration to reduce labor and maintenance costs. Therefore, the long-term reliable operation of aeration equipment is of paramount importance.

[0003] In existing technologies, the oxygen source system of fully protected gaseous automatic oxygenation equipment consists of components such as an air compressor, an air storage tank, and a pressure sensor. It requires on-site personnel to conduct regular and scheduled inspections, comparing the data with previous data or checking the circuit operation to determine if any abnormalities have occurred. This approach is inefficient, incurs high personnel costs, and is not conducive to timely detection and resolution of problems. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention provides a method, system, equipment, and medium for diagnosing anomalies in the oxygen source system of an oxygenation equipment. This method can comprehensively monitor and analyze the operating status of the oxygen source system, construct a comprehensive anomaly diagnosis method, and improve the reliability of the oxygen source system in a fully protected gaseous automatic oxygenation equipment.

[0005] This invention is achieved through the following technical solution:

[0006] A method for diagnosing abnormalities in the oxygen source system of an oxygenation device includes the following steps:

[0007] S1: Preset oxygen source system temperature threshold and monitor oxygen source system temperature in real time. If the temperature exceeds the oxygen source system temperature threshold, an anomaly will occur.

[0008] S2: Based on the historical operating data of the oxygen source system, the curve of air source pressure over time, and the curve of air source pressure of a single air compressor over time when the air source outlet valve is closed and the air source outlet valve is open, an air compressor charging safety limit curve is formed. If the pressure at a certain moment is lower than the pressure value at the corresponding moment of the pressure safety limit curve, then it is abnormal.

[0009] S3: Preset oxygen source system filter pressure threshold, and monitor the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor in real time. If the difference is greater than or equal to the pressure threshold, it is abnormal.

[0010] S4: Preset gas source pressure deviation threshold, collect gas source pressure value in real time, and use a three-way mutual deviation check method to determine whether the gas source pressure is abnormal.

[0011] Furthermore, the oxygen source system temperature determination process in step S1 is as follows:

[0012]

[0013] Where T is the real-time temperature of the air compressor, in °C; T threshold is the abnormal temperature characteristic value of the air compressor, taken from field experience, in °C; and T room temperature is the real-time ambient temperature of the air compressor, in °C.

[0014] Furthermore, in step S2, the curves of air source pressure versus time for a single air compressor with and without the air source outlet valve closed are as follows:

[0015] Shut off the air source outlet valve, manually run a single air compressor, and record the curve f1(t) of the air source pressure over time during the inflation process;

[0016] Open the air source outlet valve, manually run a single air compressor, and record the curve f2(t) of the air source pressure over time during the inflation process.

[0017] Furthermore, in step S2, the curve of gas source pressure over time based on the historical operating data of the oxygen source system is a set of f(t) curves under different operating durations.

[0018] Furthermore, the curves f1(t), f2(t), and f(t) are arranged in the same coordinate system. The minimum pressure value at each moment is taken, and the lower envelope of the curve group is found by connecting the points to form the air compressor charging safety limit curve f3(t).

[0019] If the pressure at a certain moment during the real-time inflation process is lower than the pressure value at the corresponding moment of the pressure safety limit curve f3(t), an alarm will be triggered, and the air compressor needs to be stopped for maintenance.

[0020] Furthermore, the method for identifying filter anomalies in step S3 is as follows:

[0021]

[0022] Wherein, P outlet pressure is the real-time monitoring point of the air compressor air source outlet pressure, located after the air compressor filter, MPa; P first-level pressure is the real-time monitoring point of the first-level pressure before the air compressor filter, MPa; P threshold is the pressure difference threshold allowed by industrial experience, MPa.

[0023] Furthermore, in step S4, the method for checking the mutual deviation of the three signals is as follows: check the deviation of the three signals, remove one incorrect signal, take the average of the remaining two signals, if another one is faulty, automatically take the third signal, if all three are faulty, the value of the normal output should be maintained and an alarm should be issued at the same time.

[0024]

[0025] Wherein, P is the gas source pressure value participating in the automatic operation logic of the gas source system, MPa; P1 is the real-time pressure value of sensor 1 at gas source pressure monitoring point, MPa; P2 is the real-time pressure value of sensor 2 at gas source pressure monitoring point, MPa; P3 is the real-time pressure value of sensor 3 at gas source pressure monitoring point, MPa; and P threshold is the allowable deviation threshold for sensor measurement, MPa.

[0026] An abnormality diagnosis system for an oxygen supply system of an oxygenation device includes:

[0027] The oxygen source system temperature anomaly diagnosis module is used to preset the oxygen source system temperature threshold and detect the oxygen source system temperature in real time. If the temperature exceeds the oxygen source system temperature threshold, an anomaly is detected.

[0028] The oxygen source system inflation anomaly diagnosis module is used to form an air compressor inflation safety limit curve based on the historical operating data of the oxygen source system, the curve of air source pressure over time, and the curve of air source pressure over time of a single air compressor when the air source outlet valve is closed and the air source outlet valve is open. If the pressure at a certain moment is lower than the pressure value at the corresponding moment of the pressure safety limit curve, then an anomaly is detected.

[0029] The oxygen source system filter anomaly diagnosis module is used to preset the oxygen source system filter pressure threshold and detect the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor in real time. If the difference is greater than or equal to the pressure threshold, an anomaly is detected.

[0030] The oxygen source system pressure anomaly diagnosis module is used to preset the gas source pressure deviation threshold, collect the gas source pressure value in real time, and use a three-way mutual deviation check method to determine whether the gas source pressure is abnormal.

[0031] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of an abnormal diagnosis method for an oxygen source system of an oxygenation device.

[0032] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of a method for diagnosing anomalies in an oxygen source system of an oxygenation device.

[0033] Compared with the prior art, the present invention has the following beneficial technical effects:

[0034] This invention provides a method, system, equipment, and medium for diagnosing anomalies in the oxygen source system of an oxygenation equipment. It presets a temperature threshold for the oxygen source system and monitors the system temperature in real time; if the temperature exceeds the threshold, an anomaly is identified. Based on historical operating data of the oxygen source system, including the pressure curve of the gas source over time and the pressure curve of a single air compressor with and without the gas source outlet valve closed, a safe pressure limit curve for the air compressor is formed. If the pressure at a certain moment is lower than the pressure value at the corresponding moment on the safe pressure limit curve, an anomaly is identified. A preset pressure threshold for the oxygen source system filters is also provided, and the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor is monitored in real time; if the difference is greater than or equal to the pressure threshold, an anomaly is identified. A preset gas source pressure deviation threshold is also provided, and the gas source pressure value is collected in real time. A three-way mutual deviation check method is used to determine whether the gas source pressure is abnormal. This application provides real-time monitoring of the main components of the gas source system, realizing full-process monitoring and management of the operating status of important components, improving the reliability of the oxygen source system application process of the fully protected automatic oxygenation equipment, thereby improving the safety of boiler oxygenation process operation, saving labor costs for maintaining the oxygen source system, and has wide application potential. Attached Figure Description

[0035] Figure 1 This is a flowchart of an abnormality diagnosis method for an oxygen source system of an oxygenation device according to the present invention. Detailed Implementation

[0036] The present invention will be further described in detail below with reference to specific embodiments. These descriptions are for explanation purposes only and are not intended to limit the scope of the invention.

[0037] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0038] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0039] A method for diagnosing abnormalities in the oxygen source system of an oxygenation device, such as Figure 1 As shown, it includes the following steps:

[0040] S1: Preset oxygen source system temperature threshold and monitor oxygen source system temperature in real time. If the temperature exceeds the oxygen source system temperature threshold, an anomaly will occur.

[0041] S2: Based on the historical operating data of the oxygen source system, the curve of air source pressure over time, and the curve of air source pressure of a single air compressor over time when the air source outlet valve is closed and the air source outlet valve is open, an air compressor charging safety limit curve is formed. If the pressure at a certain moment is lower than the pressure value at the corresponding moment of the pressure safety limit curve, then it is abnormal.

[0042] S3: Preset oxygen source system filter pressure threshold, and monitor the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor in real time. If the difference is greater than or equal to the pressure threshold, it is abnormal.

[0043] S4: Preset gas source pressure deviation threshold, collect gas source pressure value in real time, and use a three-way mutual deviation check method to determine whether the gas source pressure is abnormal.

[0044] Preferably, the oxygen source system temperature determination process in step S1 is as follows:

[0045]

[0046] Where T is the real-time temperature of the air compressor, in °C; T threshold is the abnormal temperature characteristic value of the air compressor, taken from field experience, in °C; and T room temperature is the real-time ambient temperature of the air compressor, in °C.

[0047] Specifically, those skilled in the art can install an air compressor housing thermometer to achieve real-time monitoring of the oxygen source system temperature, and display the result as an alarm message when the temperature is abnormal.

[0048] Preferably, in step S2, the curve of air source pressure over time for a single air compressor with the air source outlet valve closed and open is as follows:

[0049] Shut off the air source outlet valve, manually run a single air compressor, and record the curve f1(t) of the air source pressure over time during the inflation process;

[0050] Open the air source outlet valve, manually run a single air compressor, and record the curve f2(t) of the air source pressure over time during the inflation process.

[0051] Furthermore, in step S2, the curve of gas source pressure over time based on the historical operating data of the oxygen source system is a set of f(t) curves under different operating durations.

[0052] Furthermore, the curves f1(t), f2(t), and f(t) are arranged in the same coordinate system. The minimum pressure value at each moment is taken, and the lower envelope of the curve group is found by connecting the points to form the air compressor charging safety limit curve f3(t). If the pressure at a certain moment during the real-time charging process is lower than the pressure value at the corresponding moment of the pressure safety limit curve f3(t), an alarm is triggered, and the air compressor needs to be stopped for maintenance.

[0053] Specifically, those skilled in the art can use the characteristic curve of pressure over time during the air compressor inflation process. This curve is obtained through experimental testing. As the air compressor runs for a certain period of time, the curve shifts downward, forming a set of curves. Finally, by combining the experimental test results and historical operating data, the air compressor inflation safety limit curve is determined. When the pressure value is lower than the inflation safety limit curve during the inflation process, an air compressor inflation abnormality S2 is identified, and the abnormal result is displayed as an alarm message.

[0054] Preferably, in step S3, the pressure difference before and after the air compressor filter is monitored and compared in real time by using a primary pressure monitoring point before the filter is installed. The pressure difference reflects whether the filter is clogged, enabling real-time monitoring of filter clogging factors and providing strong support for reliable air compressor operation. Filter anomalies are identified through a threshold in step S3, and the anomaly results are displayed as alarm messages. The method for identifying filter anomalies in step S3 is as follows:

[0055]

[0056] Wherein, P outlet pressure is the real-time monitoring point of the air compressor air source outlet pressure, located after the air compressor filter, MPa; P first-level pressure is the real-time monitoring point of the first-level pressure before the air compressor filter, MPa; P threshold is the pressure difference threshold allowed by industrial experience, MPa.

[0057] Preferably, in step S4, the normal operation of the gas source pressure monitoring point is the basis for the automatic operation of the gas source system. By increasing the number of sensors at the gas source pressure monitoring point, the reliability of the automatic operation of the gas source system is improved, thereby improving the reliability of the oxygen source of the oxygenation equipment. The abnormality of the pressure sensor is identified by the threshold in step S4, and the abnormality result is displayed as an alarm message.

[0058] In step S4, the method of mutual deviation check of the three signals is as follows: check the deviation of the three signals, remove one incorrect signal, take the average of the remaining two signals, if another one is bad, automatically take the third signal, if all of them are bad, the value of the normal output should be maintained and an alarm should be issued at the same time.

[0059]

[0060] Wherein, P is the gas source pressure value participating in the automatic operation logic of the gas source system, MPa; P1 is the real-time pressure value of sensor 1 at gas source pressure monitoring point, MPa; P2 is the real-time pressure value of sensor 2 at gas source pressure monitoring point, MPa; P3 is the real-time pressure value of sensor 3 at gas source pressure monitoring point, MPa; and P threshold is the allowable deviation threshold for sensor measurement, MPa.

[0061] This invention provides an abnormality diagnosis system for an oxygen source system of an oxygenation device, comprising:

[0062] The oxygen source system temperature anomaly diagnosis module is used to preset the oxygen source system temperature threshold and detect the oxygen source system temperature in real time. If the temperature exceeds the oxygen source system temperature threshold, an anomaly is detected.

[0063] The oxygen source system inflation anomaly diagnosis module is used to form an air compressor inflation safety limit curve based on the historical operating data of the oxygen source system, the curve of air source pressure over time, and the curve of air source pressure over time of a single air compressor when the air source outlet valve is closed and the air source outlet valve is open. If the pressure at a certain moment is lower than the pressure value at the corresponding moment of the pressure safety limit curve, then an anomaly is detected.

[0064] The oxygen source system filter anomaly diagnosis module is used to preset the oxygen source system filter pressure threshold and detect the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor in real time. If the difference is greater than or equal to the pressure threshold, an anomaly is detected.

[0065] The oxygen source system pressure anomaly diagnosis module is used to preset the gas source pressure deviation threshold, collect the gas source pressure value in real time, and use a three-way mutual deviation check method to determine whether the gas source pressure is abnormal.

[0066] The present invention provides a preferred embodiment as follows:

[0067] Step 1: Oxygen Source System Temperature Anomaly Diagnosis. Install an air compressor housing thermometer to achieve real-time monitoring of the oxygen source system temperature. The temperature will be calculated by subtracting the real-time ambient temperature T from the real-time air compressor temperature T. 室温 When the temperature exceeds the T threshold (100℃), the oxygen source system temperature is abnormal, and the result is displayed as an alarm message.

[0068] Step 2: Diagnosis of oxygen source system inflation abnormalities. The air compressor inflation process exhibits a pressure-time characteristic curve. The air compressor inflation safety limit curve f3(t) was obtained through experimental testing and historical data processing, as shown in Table 1.

[0069] Table 1 Safety curves during inflation

[0070] Inflation time / min 1 3 5 10 15 20 30 Inflation safety value / MPa 0 2 4 6.8 9 11.5 13.5

[0071] If the pressure at a certain moment during the real-time inflation process is lower than the pressure value at the corresponding moment of the pressure safety limit curve f3(t), an alarm will be triggered, and the air compressor needs to be stopped for maintenance.

[0072] Step 3: Oxygen Source System Filter Anomaly Diagnosis. Differential pressure reflects whether the filter is clogged, allowing for real-time monitoring of air compressor filter clogging factors and providing strong support for reliable air compressor operation. Filter anomaly S3 is identified through the P threshold, with a value of 0.5 MPa. The real-time monitoring point P is located at the air source outlet pressure after the air compressor filter. 出口压力 Subtract the real-time pressure monitoring point P before the air compressor filter 一级压力 Exceeding the allowable pressure difference threshold P in experimental testing 阈值 Abnormal results will be displayed as alarm messages.

[0073] Step 4: Oxygen Source System Pressure Anomaly Diagnosis. The normal operation of the gas source pressure monitoring points is fundamental to the automatic operation of the gas source system. By increasing the number of sensors at the gas source pressure monitoring points (totaling three pressure sensors), the reliability of the automatic operation of the gas source system is improved, thereby enhancing the reliability of the oxygen source for the oxygen supply equipment. Using a three-in-one method, the real-time pressure values ​​from gas source pressure monitoring point 1, gas source pressure monitoring point 2, and gas source pressure monitoring point 3 are checked for deviation. One incorrect signal is eliminated, and the average of the remaining two signals is used as the gas source pressure value for the automatic operation logic of the gas source system. If another signal fails, the third signal is automatically used as the gas source pressure value for the automatic operation logic. If all three signals fail, the system should maintain the normal output value while simultaneously issuing an alarm.

[0074] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used in the operation of an abnormal diagnosis method for an oxygen source system of an oxygenation device.

[0075] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the abnormal diagnosis method for an oxygen source system of an oxygen supply device in the above embodiments.

[0076] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0077] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0078] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for diagnosing abnormalities in the oxygen source system of an oxygenation device, characterized in that, Includes the following steps: S1: Preset oxygen source system temperature threshold and monitor oxygen source system temperature in real time. If the temperature exceeds the oxygen source system temperature threshold, an anomaly will occur. S2: Based on the historical operating data of the oxygen source system, the curve of air source pressure over time, and the curve of air source pressure of a single air compressor over time when the air source outlet valve is closed and the air source outlet valve is open, an air compressor charging safety limit curve is formed. If the pressure at a certain moment is lower than the pressure value at the corresponding moment of the pressure safety limit curve, then it is abnormal. The pressure curves of the air source supply over time for a single air compressor with the air source outlet valve closed and open are as follows: Shut down the air source outlet valve, manually run a single air compressor, and record the air source pressure curve over time during the inflation process. ; Open the air source outlet valve, manually run a single air compressor, and record the air source pressure curve over time during the inflation process. ; Based on historical operating data of the oxygen source system, the curve of gas source pressure over time is shown for different operating durations. Curve group; Will , and The curves are arranged in the same coordinate system. The minimum pressure value is taken at each moment, and the points are connected to find the lower envelope of the curve group, thus forming the air compressor charging safety limit curve. ; If the pressure at a certain moment during real-time inflation is lower than the pressure safety limit curve When the corresponding pressure value is reached, an alarm will sound, and the air compressor needs to be stopped for maintenance. S3: Preset oxygen source system filter pressure threshold, and monitor the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor in real time. If the difference is greater than or equal to the pressure threshold, it is abnormal. S4: Preset gas source pressure deviation threshold, collect gas source pressure value in real time, and use a three-way mutual deviation check method to determine whether the gas source pressure is abnormal.

2. The method for diagnosing abnormalities in the oxygen source system of an oxygenation device according to claim 1, characterized in that, The oxygen source system temperature determination process in step S1 is as follows: ； Where T is the real-time temperature of the air compressor, in °C; T threshold is the abnormal temperature characteristic value of the air compressor, taken from field experience, in °C; and T room temperature is the real-time ambient temperature of the air compressor, in °C.

3. The method for diagnosing abnormalities in the oxygen source system of an oxygenation device according to claim 1, characterized in that, The method for identifying filter anomalies in step S3 is as follows: ； Wherein, P outlet pressure is the real-time monitoring point of the air compressor air source outlet pressure, located after the air compressor filter, MPa; P first-level pressure is the real-time monitoring point of the first-level pressure before the air compressor filter, MPa; P threshold is the pressure difference threshold allowed by industrial experience, MPa.

4. The method for diagnosing abnormalities in the oxygen source system of an oxygenation device according to claim 1, characterized in that, In step S4, the method of mutual deviation check of the three signals is as follows: check the deviation of the three signals, remove one incorrect signal, take the average of the remaining two signals, if another one is bad, automatically take the third signal, if all of them are bad, the value of the normal output should be maintained and an alarm should be issued at the same time. ； Wherein, P is the gas source pressure value participating in the automatic operation logic of the gas source system, MPa; P1 is the real-time pressure value of sensor 1 at gas source pressure monitoring point, MPa; P2 is the real-time pressure value of sensor 2 at gas source pressure monitoring point, MPa; P3 is the real-time pressure value of sensor 3 at gas source pressure monitoring point, MPa; and P threshold is the allowable deviation threshold for sensor measurement, MPa.

5. An abnormality diagnosis system for an oxygen source system of an oxygenation device, characterized in that, A method for diagnosing abnormalities in an oxygen supply system of an oxygenation device according to any one of claims 1-4 includes: The oxygen source system temperature anomaly diagnosis module is used to preset the oxygen source system temperature threshold and detect the oxygen source system temperature in real time. If the temperature exceeds the oxygen source system temperature threshold, an anomaly is detected. The oxygen source system inflation anomaly diagnosis module is used to form an air compressor inflation safety limit curve based on the historical operating data of the oxygen source system, the curve of air source pressure over time, and the curve of air source pressure over time of a single air compressor when the air source outlet valve is closed and the air source outlet valve is open. If the pressure at a certain moment is lower than the pressure value at the corresponding moment of the pressure safety limit curve, then an anomaly is detected. The pressure curves of the air source supply over time for a single air compressor with the air source outlet valve closed and open are as follows: Shut down the air source outlet valve, manually run a single air compressor, and record the air source pressure curve over time during the inflation process. ; Open the air source outlet valve, manually run a single air compressor, and record the air source pressure curve over time during the inflation process. ; Based on historical operating data of the oxygen source system, the curve of gas source pressure over time is shown for different operating durations. Curve group; Will , and The curves are arranged in the same coordinate system. The minimum pressure value is taken at each moment, and the points are connected to find the lower envelope of the curve group, thus forming the air compressor charging safety limit curve. ; If the pressure at a certain moment during real-time inflation is lower than the pressure safety limit curve When the corresponding pressure value is reached, an alarm will sound, and the air compressor needs to be stopped for maintenance. The oxygen source system filter anomaly diagnosis module is used to preset the oxygen source system filter pressure threshold and detect the difference between the pressure value before the filter of the previous stage air compressor and the pressure value before the filter of this stage air compressor in real time. If the difference is greater than or equal to the pressure threshold, an anomaly is detected. The oxygen source system pressure anomaly diagnosis module is used to preset the gas source pressure deviation threshold, collect the gas source pressure value in real time, and use a three-way mutual deviation check method to determine whether the gas source pressure is abnormal.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the abnormal diagnosis method for the oxygen source system of an oxygenation device as described in any one of claims 1-4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the abnormal diagnosis method for the oxygen source system of an oxygenation device as described in any one of claims 1-4.

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