A diagnostic method for pressure sensor performance detection

Abstract

The present invention discloses a diagnostic method for pressure sensor performance detection, which relates to the technical field of sensor equipment, and includes the following steps: initializing the pressure sensor, sensitivity and response time under different pressures, dynamic response characteristics under rapidly changing pressure environments, changes under different temperature conditions, anti-interference ability to external factors, long-term stability, whether there are nonlinear errors and zero drift, and comprehensive evaluation of the overall performance of the pressure sensor. This diagnostic method can comprehensively quantify the dynamic response, anti-interference ability, temperature adaptability and long-term stability of the sensor by setting a dynamic response characteristic model and multi-condition environment simulation. This method can not only capture the nonlinear dynamic behavior that is neglected in traditional evaluation methods, but also effectively reveal the potential performance problems of sensors in complex working environments, guide the optimization design and application deployment, and significantly improve the reliability and accuracy of sensors in actual scenarios.

Description

Technical Field

[0001] The present invention relates to the technical field of sensor equipment, and in particular to a diagnostic method for detecting performance of a pressure sensor. Background Art

[0002] Pressure sensors are key components in industrial automation, aerospace, medical devices and other fields, and their performance directly affects the overall stability and accuracy of the system. Existing technologies mainly evaluate sensor performance through static calibration and limited dynamic testing, including calibrating its sensitivity, linearity error and zero drift. However, these methods are usually limited to ideal laboratory environments, lack comprehensive diagnosis of complex working conditions (such as temperature changes, dynamic pressure fluctuations and external interference), and are difficult to reflect the performance of sensors in actual use. In addition, traditional dynamic response tests mostly use simple first-order or second-order linear system models, which cannot accurately capture the nonlinear characteristics of sensors under rapid pressure changes (such as overshoot, hysteresis and stabilization time). The quantification and evaluation of key indicators such as signal noise and long-term stability also often lack systematic and detailed considerations. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides a diagnostic method for pressure sensor performance detection to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] In a first aspect, an embodiment of the present invention provides a method for diagnosing performance of a pressure sensor, comprising the following steps:

[0006] S1, initialize the pressure sensor and confirm the working status;

[0007] S2, diagnose the sensitivity of the pressure sensor to different pressures and its response time;

[0008] S3, diagnose the dynamic response characteristics of the pressure sensor under rapidly changing pressure environment;

[0009] S4, diagnose the changes of pressure sensor under different temperature conditions;

[0010] S5. Diagnose the anti-interference ability of the pressure sensor to external factors;

[0011] S6, long-term stability of the diagnostic pressure sensor;

[0012] S7. Diagnose whether the pressure sensor has nonlinear error and zero drift;

[0013] S8. Based on the above diagnostic content, conduct a comprehensive evaluation of the overall performance of the pressure sensor, including the sensitivity, dynamic response, anti-interference ability, and long-term stability of the pressure sensor.

[0014] To further optimize the technical solution, in step S1, the pressure sensor is confirmed to have no hardware failure or communication error through the built-in internal diagnostic function of the pressure sensor;

[0015] The pressure sensor is normally connected to the external system and outputs pressure data in real time. The external system includes a data acquisition system or a control system;

[0016] A standardized calibration gas pressure source is used to perform an initial verification of the pressure sensor to ensure that its readings are consistent with a known standard.

[0017] To further optimize the technical solution, in step S2, a variety of different working pressure scenarios are simulated, a variety of working pressure values ​​are selected, various pressure fluctuations that the pressure sensor may encounter are simulated, and the output data of the pressure sensor is recorded to observe whether the pressure changes are tracked in a timely and accurate manner, and whether there are abnormal phenomena such as lag and drift.

[0018] To further optimize the technical solution, in step S3, a dynamic response performance model is constructed, and the response of the model output when the pressure sensor is subjected to an instantaneous pressure change is set as follows:

[0019] ;

[0020] in,

[0021] : Pressure sensor at time Output signal when

[0022] : The target pressure value applied instantaneously;

[0023] : Damping factor, which determines the decay rate of the signal;

[0024] : Natural frequency, determines the output oscillation frequency;

[0025] : Initial phase, reflected in time The starting conditions at

[0026] : Random error term used to describe the effects of noise and external disturbances.

[0027] Further optimizing the technical solution, the performance of the pressure sensor under instantaneous pressure changes includes response time, overshoot ratio and stabilization time;

[0028] Response time :

[0029] Defined as the output signal of the pressure sensor Reach 95% Time point , expressed as:

[0030] ;

[0031] Overshoot ratio :

[0032] Defined as the output signal exceeding the target pressure The ratio of the maximum deviation to the target pressure is expressed as:

[0033] ;

[0034] Stabilization time :

[0035] Defined as the output signal entering and remaining at The time required within the range, It is the allowable error, which is used to quantify the tolerance range of the output signal during the stabilization process.

[0036] To further optimize the technical solution, the dynamic response performance model, when used, includes the following process:

[0037] Apply a transient pressure change: Apply a target pressure value , simulates the step input of pressure;

[0038] Curve fitting: Fit the recorded output data to the model;

[0039] Calculate response performance indicators: Calculate overshoot ratio , determine the stabilization time ;

[0040] Analyze random error terms: reflect the impact of noise and external interference.

[0041] Further optimizing the technical solution, in step S4, the pressure sensor is tested under different temperature conditions;

[0042] Simulate pressure changes at low temperature of -20℃, normal temperature of 25℃ and high temperature of 85℃, and monitor the output of pressure sensor;

[0043] Temperature changes cause expansion or contraction of the pressure sensor element, resulting in zero point drift or sensitivity change. By comparing with standard reference data, it is evaluated whether the error caused by temperature is within an acceptable range. The acceptable range is the allowable deviation range between the output error of the pressure sensor and the standard reference data.

[0044] To further optimize the technical solution, in step S5, the external factors include electromagnetic interference, temperature fluctuation, and vibration, and the diagnosis includes:

[0045] Use a signal generator to generate a noise signal of a certain frequency and amplitude, and apply it to the input end of the pressure sensor to simulate the interference environment;

[0046] Then record the output data of the pressure sensor and analyze whether it can effectively filter out external noise interference and maintain accurate pressure measurement.

[0047] To further optimize the technical solution, in step S6, the pressure sensor is exposed to a constant pressure environment for a long time, and its output is checked regularly;

[0048] By observing the long-term change trend of the pressure sensor output, evaluate whether there is drift or performance degradation during long-term use, and identify factors that may cause performance degradation, including aging of internal materials or poor contact.

[0049] To further optimize the technical solution, in step S7, diagnosing nonlinear error and zero drift includes:

[0050] Use a precise standard pressure source to perform multi-point calibration of the pressure sensor in low pressure, medium pressure and high pressure areas;

[0051] By comparing the difference between the actual output and the standard value, the nonlinear error of the pressure sensor is evaluated. If the nonlinear error of the pressure sensor is large, it can be compensated by adjusting the signal processing algorithm or hardware of the pressure sensor;

[0052] Real-time compensation of zero point drift is performed through software algorithms to ensure accurate zero point maintenance under different usage conditions.

[0053] In a second aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of a diagnostic method for detecting the performance of a pressure sensor as described in the first aspect of the present invention are implemented.

[0054] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of a diagnostic method for detecting performance of a pressure sensor as described in the first aspect of the present invention are implemented.

[0055] Compared with the prior art, the present invention provides a diagnostic method for pressure sensor performance detection, which has the following beneficial effects:

[0056] This pressure sensor performance detection diagnostic method can comprehensively quantify the dynamic response, anti-interference ability, temperature adaptability and long-term stability of the sensor by setting a dynamic response characteristic model and multi-condition environment simulation. This method can not only capture the nonlinear dynamic behavior that is neglected in traditional evaluation methods, but also effectively reveal the potential performance problems of the sensor in a complex working environment, guide the optimization design and application deployment, and significantly improve the reliability and accuracy of the sensor in actual scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0058] Figure 1 A schematic flow chart of a diagnostic method for pressure sensor performance detection proposed by the present invention;

[0059] Figure 2 A schematic flow chart of a dynamic response performance model in a pressure sensor performance detection diagnostic method proposed by the present invention. DETAILED DESCRIPTION

[0060] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0061] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0062] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0063] Embodiment 1:

[0064] Reference Figure 1-2 , which is the first embodiment of the present invention, provides a diagnostic method for pressure sensor performance detection, comprising the following steps:

[0065] S1. Initialize the pressure sensor and confirm the working status

[0066] In this embodiment, before any test is performed, it is first necessary to confirm whether the pressure sensor is in a normal working state. The built-in internal diagnostic function of the pressure sensor is used to confirm that the pressure sensor has no hardware failure or communication error.

[0067] The pressure sensor is normally connected to an external system and outputs pressure data in real time. The external system includes a data acquisition system or a control system.

[0068] A standardized calibration gas pressure source is used to initially verify the pressure sensor to ensure that its readings are consistent with a known standard. Any readings that do not meet expectations should be taken seriously as a guide for subsequent diagnosis.

[0069] S2. Diagnose the sensitivity of pressure sensors under different pressures and their response time

[0070] In this embodiment, the pressure sensor usually exhibits different response characteristics under different working environments, so it is necessary to simulate a variety of different working pressures. Select a variety of working pressure values, such as low pressure (0-1 bar), medium pressure (1-5 bar), high pressure (5-10 bar), etc. Simulate various pressure fluctuations that the pressure sensor may encounter, and record the output data of the pressure sensor. In this way, the sensitivity of the sensor to different pressure changes and its response time can be analyzed, and it can be observed whether the pressure changes are tracked in a timely and accurate manner, and whether there are abnormal phenomena such as hysteresis and drift.

[0071] S3. Diagnose the dynamic response characteristics of pressure sensors under rapidly changing pressure environments

[0072] In this embodiment, a dynamic response performance model is constructed, and the response of the model output when the pressure sensor is subjected to an instantaneous pressure change is set as follows:

[0073] ;

[0074] in,

[0075] : Pressure sensor at time Output signal when

[0076] : The target pressure value applied instantaneously;

[0077] : Damping factor, which determines the decay rate of the signal;

[0078] : Natural frequency, determines the output oscillation frequency;

[0079] : Initial phase, reflected in time The starting conditions at

[0080] : Random error term used to describe the effects of noise and external disturbances.

[0081] Further, the performance of the pressure sensor under instantaneous pressure changes includes response time (the time it takes for the sensor to reach a stable reading), overshoot ratio (maximum deviation after a pressure change), and stabilization time (the time it takes for the sensor to maintain a stable output);

[0082] Response time :

[0083] Defined as the output signal of the pressure sensor Reach 95% Time point , expressed as:

[0084] ;

[0085] The response time is determined by the parameter Dominant, larger This indicates that the system responds faster. Determined by curve fitting method .

[0086] Overshoot ratio :

[0087] Defined as the output signal exceeding the target pressure The ratio of the maximum deviation to the target pressure is expressed as:

[0088] ;

[0089] Mainly affected and After fitting these parameters, the overshoot ratio can be calculated.

[0090] Stabilization time :

[0091] Defined as the output signal entering and remaining at The time required within the range, It is the allowable error, which is used to quantify the tolerance range of the output signal during the stabilization process. For example, .

[0092] and Directly related, a larger damping factor results in a shorter settling time.

[0093] The dynamic response performance model, when used, includes the following process:

[0094] Apply a transient pressure change

[0095] Use a precision pressure source to apply a target pressure value , simulates a step input of pressure (for example, from 0 to .

[0096] High-speed data acquisition equipment records and outputs in real time .

[0097] Curve Fitting

[0098] Fit the logged output data to the model.

[0099] Determine model parameters using the least squares method , and .

[0100] Calculating response performance indicators

[0101] Solution .

[0102] Calculate the overshoot ratio .

[0103] Determine the stabilization time .

[0104] Analyze random error terms

[0105] The residual between the recorded actual data and the model fitting result can be used to quantify the influence of external interference. By analyzing the error distribution, the anti-interference ability of the sensor can be further improved.

[0106] S4. Diagnose changes in pressure sensor under different temperature conditions

[0107] In this embodiment, temperature is an important factor affecting the accuracy and stability of the pressure sensor. The pressure sensor is tested under different temperature conditions.

[0108] The pressure change simulation was performed at low temperature of -20°C, normal temperature of 25°C, and high temperature of 85°C, and the output of the pressure sensor was monitored.

[0109] Temperature changes cause expansion or contraction of the pressure sensor element, resulting in zero drift or sensitivity change. By comparing with the standard reference data, it is evaluated whether the error caused by temperature is within the acceptable range. The acceptable range is the allowable deviation range between the output error of the pressure sensor and the standard reference data. If the sensor has obvious errors during temperature changes, further temperature compensation or structural improvements may be required.

[0110] S5. Diagnose the anti-interference ability of pressure sensor to external factors

[0111] In this embodiment, the pressure sensor is often affected by external factors such as electromagnetic interference, temperature fluctuation, vibration, etc. in actual applications, so its anti-interference ability needs to be evaluated.

[0112] A signal generator is used to generate a noise signal with a certain frequency and amplitude and applied to the input end of the pressure sensor to simulate the interference environment.

[0113] Then record the output data of the pressure sensor and analyze whether it can effectively filter out external noise interference and maintain accurate pressure measurement. Detect the anti-interference filtering performance of the sensor and the stability of its output signal.

[0114] S6. Long-term stability of the diagnostic pressure sensor

[0115] In this embodiment, long-term stability is a key performance indicator of the pressure sensor. The pressure sensor is exposed to a constant pressure environment for a long time and its output is checked regularly;

[0116] By observing the long-term change trend of the pressure sensor output, evaluate whether there is drift or performance degradation during long-term use, and identify factors that may cause performance degradation, including aging of internal materials or poor contact.

[0117] S7. Diagnose whether the pressure sensor has nonlinear error and zero drift

[0118] In this embodiment, nonlinear error and zero drift are common problems in the operation of the pressure sensor. Diagnosing nonlinear error and zero drift includes:

[0119] Use a precise standard pressure source to perform multi-point calibration of the pressure sensor in low pressure, medium pressure and high pressure areas;

[0120] By comparing the difference between the actual output and the standard value, the nonlinear error of the pressure sensor is evaluated. If the nonlinear error of the pressure sensor is large, it can be compensated by adjusting the signal processing algorithm or hardware of the pressure sensor;

[0121] Real-time compensation of zero point drift is performed through software algorithms to ensure accurate zero point maintenance under different usage conditions.

[0122] S8. Based on the above diagnostic content, conduct a comprehensive evaluation of the overall performance of the pressure sensor

[0123] In this embodiment, after all diagnostic tests are completed, a comprehensive evaluation of the overall performance of the sensor is required. Based on the above diagnostic content, a comprehensive evaluation is performed on the overall performance of the pressure sensor, and the comprehensive evaluation content includes the sensitivity, dynamic response, anti-interference ability, long-term stability, etc. of the pressure sensor. At this time, it can be compared with industry standards to determine whether the pressure sensor meets the relevant performance requirements. On this basis, a detailed performance evaluation report is generated, which should include all test data, test conditions, existing problems and recommended improvement measures. The report not only provides a basis for product improvement, but also provides customers with accurate performance references.

[0124] This diagnostic method comprehensively analyzes the performance of pressure sensors from multiple dimensions, covering not only basic static performance testing, but also more complex performance indicators such as dynamic response and anti-interference ability. In the specific implementation process, the test steps and parameters can be flexibly adjusted according to different sensor types and application requirements.

[0125] Embodiment 2:

[0126] This embodiment also provides a computer device, which is suitable for a diagnostic method for detecting the performance of a pressure sensor, and includes a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement a diagnostic method for detecting the performance of a pressure sensor as proposed in the above embodiment.

[0127] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, a diagnostic method for detecting the performance of a pressure sensor as proposed in the above embodiment is implemented.

[0128] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0129] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0130] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0131] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk case (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0132] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit with a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit with a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0133] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A diagnostic method for pressure sensor performance detection, characterized in that: The following steps are involved: S1, initialize the pressure sensor and confirm the working status; S2, diagnose the sensitivity of the pressure sensor to different pressures and its response time; S3, diagnose the dynamic response characteristics of the pressure sensor under rapidly changing pressure environment; Construct a dynamic response performance model and set the pressure sensor to respond to instantaneous pressure changes. The model output response is as follows: ； in, : Pressure sensor at time Output signal when : The target pressure value applied instantaneously; : Damping factor, which determines the decay rate of the signal; : Natural frequency, determines the output oscillation frequency; : Initial phase, reflected in time The starting conditions at : Random error term, used to describe the impact of noise and external interference; The performance of the pressure sensor under instantaneous pressure changes includes response time, overshoot ratio and stabilization time; Response time : Defined as the output signal of the pressure sensor Reach 95% time point, The expression is: ； Overshoot ratio : Defined as the output signal exceeding the target pressure The ratio of the maximum deviation to the target pressure is expressed as: ； Stabilization time : Defined as the output signal entering and remaining at The time required within the range, It is the allowable error, used to quantify the tolerance range of the output signal during the stabilization process; S4, diagnose the changes of pressure sensor under different temperature conditions; S5. Diagnose the anti-interference ability of the pressure sensor to external factors; S6, long-term stability of the diagnostic pressure sensor; S7. Diagnose whether the pressure sensor has nonlinear error and zero drift; S8. Based on the above diagnostic content, conduct a comprehensive evaluation of the overall performance of the pressure sensor, including the sensitivity, dynamic response, anti-interference ability, and long-term stability of the pressure sensor.

2. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: In step S1, the pressure sensor is confirmed to have no hardware failure or communication error through the built-in internal diagnostic function of the pressure sensor; The pressure sensor is normally connected to the external system and outputs pressure data in real time. The external system includes a data acquisition system or a control system; A standardized calibration gas pressure source is used to perform an initial verification of the pressure sensor to ensure that its readings are consistent with a known standard.

3. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: In step S2, a variety of different working pressure scenarios are simulated, a variety of working pressure values ​​are selected, various pressure fluctuations that the pressure sensor may encounter are simulated, and the output data of the pressure sensor is recorded to observe whether the pressure changes are tracked in a timely and accurate manner, and whether there are abnormal phenomena such as lag and drift.

4. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: The dynamic response performance model, when used, includes the following process: Apply a transient pressure change: Apply a target pressure value , simulates the step input of pressure; Curve fitting: Fit the recorded output data to the model; Calculate response performance indicators: Calculate overshoot ratio , determine the stabilization time ; Analyze random error terms: reflect the impact of noise and external interference.

5. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: In the step S4, the pressure sensor is tested under different temperature conditions; Simulate pressure changes at low temperature of -20℃, normal temperature of 25℃ and high temperature of 85℃, and monitor the output of pressure sensor; Temperature changes cause expansion or contraction of the pressure sensor element, resulting in zero drift or sensitivity change. By comparing with standard reference data, it is evaluated whether the error caused by temperature is within an acceptable range. The acceptable range is the allowable deviation range between the output error of the pressure sensor and the standard reference data.

6. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: In step S5, the external factors include electromagnetic interference, temperature fluctuation, and vibration, and the diagnosis includes: Use a signal generator to generate a noise signal of a certain frequency and amplitude, and apply it to the input end of the pressure sensor to simulate the interference environment; Then record the output data of the pressure sensor and analyze whether it can effectively filter out external noise interference and maintain accurate pressure measurement.

7. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: In step S6, the pressure sensor is exposed to a constant pressure environment for a long time, and its output is checked regularly; By observing the long-term change trend of the pressure sensor output, evaluate whether there is drift or performance degradation during long-term use, and identify factors that may cause performance degradation, including aging of internal materials or poor contact.

8. A pressure sensor performance detection diagnostic method according to claim 1, characterized in that: In step S7, diagnosing nonlinear error and zero drift includes: Use a precise standard pressure source to perform multi-point calibration of the pressure sensor in low pressure, medium pressure and high pressure areas; By comparing the difference between the actual output and the standard value, the nonlinear error of the pressure sensor is evaluated. If the nonlinear error of the pressure sensor is large, it can be compensated by adjusting the signal processing algorithm or hardware of the pressure sensor; Real-time compensation of zero point drift is performed through software algorithms to ensure accurate zero point maintenance under different usage conditions.

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