A health state detection method, device and equipment of a pressure sensor and a medium

Abstract

Embodiments of the present application disclose a health state detection method, device and equipment of a pressure sensor and a medium, comprising: obtaining a first pressure data set applied by a pressure applying device to the pressure sensor in a standard state, and a first action state of the pressure sensor corresponding to each data in the first pressure data set; obtaining a second pressure data set applied by the pressure applying device to the pressure sensor in an application state of the pressure sensor, and a second action state of the pressure sensor corresponding to each data in the second pressure data set; and determining the health state of the pressure sensor according to the first pressure data set, the first action state, the second pressure data set, and the second action state. The technical solution of the embodiments of the present application can accurately, timely and reliably detect the health state of the pressure sensor, reduce the cost of health state detection of the pressure sensor, and improve the reliability of the operation of the power equipment.

Description

Technical Field

[0001] This invention relates to the field of power equipment health monitoring technology, and in particular to a method, apparatus, equipment and medium for detecting the health status of a pressure sensor. Background Technology

[0002] In power systems and other electrical control systems, pressure sensors are commonly used as interlocking or actuating elements for pressure protection in various scenarios requiring pressure measurement. Therefore, regularly checking the health status of pressure sensors is essential to ensure the reliable operation of pressure detection systems and other pressure control systems.

[0003] In existing technologies, the health status of pressure sensors is typically detected using a pressure calibrator. Specifically, operators connect the pressure sensor to the pressure calibrator, then observe and record the pressure values ​​displayed by the calibrator in real time. These pressure values ​​are then analyzed to complete the health status detection of the pressure sensor.

[0004] However, relying entirely on manual inspection of pressure sensors in the routine maintenance of pressure testing systems containing a large number of sensors requires a significant amount of repetitive work, leading to high labor intensity and testing costs. Secondly, manual observation and operation of the pressure calibrator results in inaccurate pressure sensor measurement data and unreliable health status assessment results. Summary of the Invention

[0005] This invention provides a method, apparatus, device, and medium for detecting the health status of a pressure sensor, which can accurately, timely, and reliably detect the health status of the pressure sensor, reduce the cost of pressure sensor health status detection, and improve the reliability of power equipment operation.

[0006] According to one aspect of the present invention, a method for detecting the health status of a pressure sensor is provided, the method comprising:

[0007] Acquire the first pressure dataset applied to the pressure sensor by the pressure-applying device corresponding to the pressure sensor under standard conditions, and the first operating state of the pressure sensor corresponding to each data in the first pressure dataset;

[0008] Under the application state of the pressure sensor, the second pressure dataset applied by the pressure applying device to the pressure sensor, and the second operating state of the pressure sensor corresponding to each data in the second pressure dataset;

[0009] The health status of the pressure sensor is determined based on the first pressure dataset, each first action state, the second pressure dataset, and each second action state.

[0010] Optionally, the health status of the pressure sensor is determined based on the first pressure dataset, each first action state, the second pressure dataset, and each second action state, including: determining the periodicity variation factor of the pressure sensor based on the first pressure dataset and each first action state; determining the state discrimination factor of the pressure sensor based on the second pressure dataset and each second action state; and determining the health status of the pressure sensor based on the periodicity variation factor and the state discrimination factor.

[0011] Optionally, the periodic variation factor of the pressure sensor is determined based on the first pressure dataset and each first action state, including: determining the first action moment corresponding to the change in the action state of the pressure sensor based on each first action state; and determining the periodic variation factor based on the first action moment, the first target pressure data corresponding to the first action moment in the first pressure dataset, and the first initial pressure data in the first pressure dataset.

[0012] Optionally, based on the first action time, the first target pressure data corresponding to the first action time in the first pressure dataset, and the first initial pressure data in the first pressure dataset, a periodic variation factor is determined, including: using a formula Determine the periodicity factor; where α is the periodicity factor and n is the first action time; Pa n Pa1 represents the first target pressure data; Pa1 represents the first initial pressure data.

[0013] Optionally, based on the second pressure dataset and each second action state, the state discrimination factor of the pressure sensor is determined, including: based on each second action state, determining the second action time corresponding to the change in the action state of the pressure sensor; and based on the second action time, the second target pressure data in the second pressure dataset corresponding to the second action time, and the second initial pressure data in the second pressure dataset, the state discrimination factor is determined.

[0014] Optionally, based on the second action time, the second target pressure data corresponding to the second action time in the second pressure dataset, and the second initial pressure data in the second pressure dataset, a state discrimination factor is determined, including: using the formula Determine the state discrimination factor; where β is the state discrimination factor; k is the second action time; Pb k Pb1 represents the second target pressure data; Pb1 represents the second initial pressure data.

[0015] Optionally, the health status of the pressure sensor is determined based on the periodic variation factor and the state discrimination factor, including: if the first target pressure data and the second target pressure data are the same, and the periodic variation factor and the state discrimination factor are the same, then the health status of the pressure sensor is determined to be that the pressure sensor is in a healthy state; if the first target pressure data and the second target pressure data are the same, and the periodic variation factor and the state discrimination factor are different, then the health status of the pressure sensor is determined to be that the pressure sensor is in a state warning; otherwise, the health status of the pressure sensor is determined to be that the pressure sensor is in a state fault.

[0016] According to another aspect of the present invention, a health status detection device for a pressure sensor is provided, the device comprising:

[0017] The standard state information acquisition module is used to acquire the first pressure dataset applied to the pressure sensor by the pressure applying device corresponding to the pressure sensor under standard conditions, and the first action state of the pressure sensor corresponding to each data in the first pressure dataset.

[0018] The application status information acquisition module is used to acquire the second pressure dataset applied to the pressure sensor by the pressure applying device under the application status of the pressure sensor, and the second action status of the pressure sensor corresponding to each data in the second pressure dataset.

[0019] The health status determination module is used to determine the health status of the pressure sensor based on the first pressure dataset, each first action state, the second pressure dataset, and each second action state.

[0020] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0021] At least one processor; and

[0022] A memory that is communicatively connected to at least one processor; wherein,

[0023] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the health status detection method of the pressure sensor according to any embodiment of the present invention.

[0024] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute and implement the health status detection method of a pressure sensor according to any embodiment of the present invention.

[0025] The technical solution of this invention obtains a first pressure dataset applied to the pressure sensor by a pressure-applying device under standard conditions, and a first operating state of the pressure sensor corresponding to each data point in the first pressure dataset; obtains a second pressure dataset applied to the pressure sensor by the pressure-applying device under the application state of the pressure sensor, and a second operating state of the pressure sensor corresponding to each data point in the second pressure dataset; and determines the health status of the pressure sensor based on the first pressure dataset, each first operating state, the second pressure dataset, and each second operating state. This solves the problems of inaccurate and unreliable measurement data and untimely anomaly detection that arise from relying on manual measurement to detect the health status of pressure sensors, thereby reducing the cost of pressure sensor health status detection and improving the reliability of power equipment operation.

[0026] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart of a health status detection method for a pressure sensor according to Embodiment 1 of the present invention;

[0029] Figure 2 This is a flowchart of another method for detecting the health status of a pressure sensor according to Embodiment 2 of the present invention;

[0030] Figure 3 This is a schematic diagram of the structure of a pressure sensor health status detection device according to Embodiment 3 of the present invention;

[0031] Figure 4 This is a schematic diagram of the structure of an electronic device for a health status detection method of a pressure sensor according to Embodiment 4 of the present invention. Detailed Implementation

[0032] 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.

[0033] 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.

[0034] Example 1

[0035] Figure 1 This is a flowchart of a method for detecting the health status of a pressure sensor according to Embodiment 1 of the present invention. This embodiment is applicable to situations where the health status of a pressure sensor needs to be detected. This method can be executed by a pressure sensor health status detection device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0036] Step 110: Obtain the first pressure dataset applied to the pressure sensor by the pressure applying device corresponding to the pressure sensor under standard conditions, and the first operating state of the pressure sensor corresponding to each data in the first pressure dataset.

[0037] In this embodiment, the first pressure dataset can be a collection of pressure data applied to the pressure sensor by the pressure-applying device under the standard state of the pressure sensor. The standard state can be the state maintained by the pressure sensor when it leaves the factory. Specifically, the state of the pressure sensor before its first application can be taken as the standard state. Before the first application, the operating state of the pressure sensor is measured by the pressure-applying device to obtain the first pressure dataset. The first operating state can be used to reflect the operating state of the pressure sensor under the standard state. In practical applications, the pressure-applying device can apply pressure to the pressure sensor. When the applied pressure reaches the operating threshold of the pressure sensor, the pressure sensor will trigger the normally open switch to close or the normally closed switch to open, i.e., an operation occurs. When the applied pressure does not reach the operating threshold of the pressure sensor, the pressure sensor will maintain the normally open switch open or the normally closed switch closed, i.e., no operation occurs.

[0038] In this embodiment, the first operating state can be either a non-operating state or an operating state, where pressure is applied to the pressure sensor by a pressure-applying device under standard conditions.

[0039] In this step, specifically, under the standard factory condition of the pressure sensor, pressure can be applied to the pressure sensor using a pressure-applying device to obtain the operating status of the pressure sensor.

[0040] Step 120: Under the application state of the pressure sensor, obtain the second pressure dataset applied by the pressure applying device to the pressure sensor, and the second operating state of the pressure sensor corresponding to each data in the second pressure dataset.

[0041] In this embodiment, the second pressure dataset can be a collection of pressure data applied to the pressure sensor by the pressure-applying device under the application state of the pressure sensor. The application state refers to the state of the pressure sensor during actual use. Specifically, during the actual use of the pressure sensor, the second pressure dataset is obtained by measuring the operating state of the pressure sensor through the pressure-applying device. As the pressure sensor is installed and used, its response to external pressure may become less sensitive; therefore, it is necessary to monitor the pressure sensor under the application state. The second operating state can be used to reflect the operating state of the pressure sensor under the application state. Specifically, the second operating state can be the state in which the pressure sensor operates or does not operate under the application state.

[0042] In this step, specifically, after the pressure sensor is installed and applied, pressure can be applied to the pressure sensor through a pressure-applying device to obtain the operating state of the pressure sensor.

[0043] For example, when the pressure sensor reaches the action threshold, the second action state can be set to 1; when the pressure sensor does not act, the second action state can be set to 0.

[0044] Step 130: Determine the health status of the pressure sensor based on the first pressure dataset, each first action state, the second pressure dataset, and each second action state.

[0045] In this embodiment, the health status of the pressure sensor reflects its operational reliability over time, facilitating timely adjustment of its characteristic parameters. Since the pressure sensor is a crucial component for pressure measurement, a healthy pressure sensor enables accurate and reliable detection of electrical equipment, thereby improving the operational reliability of the electrical equipment.

[0046] In this step, specifically, under standard conditions, when the pressure sensor is activated, the first target pressure data applied by the current pressure-applying device to the pressure sensor is recorded; under application conditions, when the pressure sensor is activated, the second target pressure data applied by the current pressure-applying device to the pressure sensor is recorded.

[0047] For example, the health status of the pressure sensor can be obtained by comparing the first target pressure data and the second target pressure data. For instance, if the first target pressure data and the second target pressure data are the same, the pressure sensor can be considered healthy; or, if the first target pressure data and the second target pressure data are different, but the difference between them does not exceed a user-preset threshold, the pressure sensor can be considered healthy; or, if the first target pressure data and the second target pressure data are different, and the difference between them exceeds a user-preset threshold, a warning about the pressure sensor's status or a pressure sensor malfunction can be reported to the user.

[0048] Another example is that the pressure sensor's variation under standard and application conditions can be determined by performing arithmetic or logical operations on the first action time corresponding to the first target pressure data, the second action time corresponding to the second target pressure, the first target pressure data, and the second target pressure. If this variation exceeds a preset difference threshold, a pressure sensor status warning or a pressure sensor status malfunction is determined; otherwise, the pressure sensor is determined to be healthy. There are many ways to determine this variation. For example, the variation coefficient of the pressure sensor under standard conditions can be determined using the first target pressure data and the first action time. The variation coefficient of the pressure sensor under application conditions can be determined using the second target pressure and the second action time. Then, the difference between the two variation coefficients is compared.

[0049] Specifically, in an optional embodiment of the present invention, determining the health status of a pressure sensor based on a first pressure dataset, each first action state, a second pressure dataset, and each second action state includes: determining a periodicity variation factor of the pressure sensor based on the first pressure dataset and each first action state; determining a state discrimination factor of the pressure sensor based on the second pressure dataset and each second action state; and determining the health status of the pressure sensor based on the periodicity variation factor and the state discrimination factor.

[0050] In this embodiment, the periodicity factor can reflect the pressure change of the pressure sensor under standard conditions from when the sensor has not activated to when it has activated. The state discrimination factor can reflect the pressure change of the pressure sensor under application conditions from when the sensor has not activated to when it has activated. The periodicity factor and the state discrimination factor can jointly reflect the health status of the pressure sensor. The health status of the pressure sensor can include pressure sensor healthy status, pressure sensor status warning, and pressure sensor status fault, etc.

[0051] In this step, specifically, the health status of the pressure sensor can be determined by judging whether the periodicity variation factor and the state discrimination factor are the same. For example, if the periodicity variation factor and the state discrimination factor are the same, the pressure sensor can be considered healthy. Alternatively, if the periodicity variation factor and the state discrimination factor are different, but the difference between them does not exceed a user-preset threshold, the pressure sensor can still be considered healthy. Or, if the periodicity variation factor and the state discrimination factor are different, and the difference between them exceeds a user-preset threshold, a warning sign can be issued for the pressure sensor.

[0052] In an optional embodiment of the present invention, determining the health status of a pressure sensor based on a periodicity variation factor and a state discrimination factor includes: if the first target pressure data is the same as the second target pressure data, and the periodicity variation factor and the state discrimination factor are the same, then the health status of the pressure sensor is determined to be that the pressure sensor is in a healthy state; if the first target pressure data is the same as the second target pressure data, and the periodicity variation factor and the state discrimination factor are different, then the health status of the pressure sensor is determined to be that the pressure sensor is in a state warning; otherwise, the health status of the pressure sensor is determined to be that the pressure sensor is in a state fault.

[0053] In this embodiment, the first target pressure data can be the pressure value corresponding to a change in the operating state of the pressure sensor under standard conditions. For example, under standard conditions, when the pressure sensor changes its operation under the pressure of the pressure applying device, the pressure value applied by the pressure applying device at the current moment can be recorded as the first target pressure data. The second target pressure data can be the pressure value corresponding to a change in the operating state of the pressure sensor under application conditions. For example, under application conditions, when the pressure sensor changes its operation under the pressure of the pressure applying device, the pressure value applied by the pressure applying device at the current moment can be recorded as the second target pressure data.

[0054] Specifically, the system first determines whether the first target pressure data and the second target pressure data are the same. If they are the same, the pressure sensor is considered healthy or a pressure sensor status warning is issued, and further judgment is made. If they are different, a pressure sensor status fault is output, and the health status detection for that pressure sensor ends. When the first target pressure data and the second target pressure data are the same, the system continues to determine whether the periodicity variation factor and the status discrimination factor are the same. If the periodicity variation factor and the status discrimination factor are the same, the pressure sensor is considered healthy; if they are different, a pressure sensor status warning is output.

[0055] The advantage of this setup is that by determining whether the first target pressure data and the second target pressure data are the same, the technical means of determining whether the health status of the pressure sensor is a pressure sensor malfunction can be used. When the pressure sensor under test is faulty, the detection steps of the pressure sensor can be reduced, the efficiency of the health status detection of the pressure sensor can be improved, and it is convenient for users to replace or repair the pressure sensor in a timely manner.

[0056] In embodiments of the present invention, the pressure sensor can be automatically detected and alarmed at regular intervals through a systematic language design, which saves costs and makes it convenient for users to obtain the health status of the pressure sensor in a timely manner.

[0057] The technical solution of this embodiment obtains a first pressure dataset applied to the pressure sensor by the pressure applying device under standard conditions, and a first operating state of the pressure sensor corresponding to each data point in the first pressure dataset. It then obtains a second pressure dataset applied to the pressure sensor by the pressure applying device under the application state of the pressure sensor, and a second operating state of the pressure sensor corresponding to each data point in the second pressure dataset. Based on the first pressure dataset, each first operating state, the second pressure dataset, and each second operating state, the health status of the pressure sensor is determined. This solves the problems of inaccurate and unreliable measurement data and untimely anomaly detection that arise from relying on manual measurement to detect the health status of pressure sensors. It reduces the cost of pressure sensor health status detection and improves the reliability of power equipment operation.

[0058] Example 2

[0059] Figure 2 This is a flowchart of another method for detecting the health status of a pressure sensor according to Embodiment 2 of the present invention. This embodiment is a further refinement of the above technical solution, and the technical solution in this embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 2 As shown, the method includes:

[0060] Step 210: Obtain the first pressure dataset applied to the pressure sensor by the pressure applying device corresponding to the pressure sensor under standard conditions, and the first operating state of the pressure sensor corresponding to each data in the first pressure dataset.

[0061] Step 220: Obtain the second pressure dataset applied to the pressure sensor by the pressure applying device under the application state of the pressure sensor, and the second operating state of the pressure sensor corresponding to each data in the second pressure dataset.

[0062] Step 230: Determine the first action moment corresponding to the change in the action state of the pressure sensor based on each first action state.

[0063] In this embodiment, the first action moment can be the moment when the pressure sensor reaches the action threshold under standard conditions.

[0064] In this step, specifically, when the pressure sensor reaches the action threshold, the first action state will change, and the current moment can be determined as the first action moment corresponding to the pressure sensor.

[0065] For example, the values ​​0 or 1 can be used to represent each first action state. When the pressure sensor's action state does not change, the corresponding first action state can be assigned a value of 0; when the pressure sensor's action state changes, the corresponding first action state can be assigned a value of 1. When the first action state changes, that is, the value corresponding to the first action state changes from 0 to 1, the corresponding time is the first action time.

[0066] Step 240: Determine the periodic variation factor based on the first action time, the first target pressure data corresponding to the first action time in the first pressure dataset, and the first initial pressure data in the first pressure dataset.

[0067] In this embodiment, the first initial pressure data may be the first pressure data applied to the pressure sensor by the pressure-applying device under the standard state of the pressure sensor.

[0068] In this step, specifically, the periodic variation factor can be calculated over a period of n time intervals based on the pressure applied by the pressure-applying device at time 1 and time n.

[0069] For example, if the operating state of the pressure sensor changes when n=30, the periodicity variation factor can be calculated based on time 1, time 30, and the pressure values ​​corresponding to time 1 and time 30. The periodicity variation factor can then be compared with the state discrimination factor.

[0070] In an optional embodiment of the present invention, determining the periodic variation factor based on the first action time, the first target pressure data corresponding to the first action time in the first pressure dataset, and the first initial pressure data in the first pressure dataset includes: using a formula Determine the periodicity factor; where α is the periodicity factor and n is the first action time; Pa n Pa1 represents the first target pressure data; Pa1 represents the first initial pressure data.

[0071] In this step, specifically, under the standard condition of the pressure sensor, the pressure data Pa applied by the pressure-applying device at time i can be obtained. i Let i = 1, 2, 3, ..., n. When i = 1, the pressure sensor is not activated, and the initial pressure data at the current moment is Pa1. When i = n, the activation state of the pressure sensor changes, and the initial target pressure data at the current moment is Pa. n Then, the periodic variation factor α can be calculated based on the pressure application time and the corresponding pressure data.

[0072] The advantage of this setting is that by selecting the initial moment and the moment when the pressure sensor reaches the action threshold to calculate the period change factor, it can avoid arbitrarily selecting data, which would lead to unreliable results in the health status detection of the pressure sensor, thus improving the reliability of the health status detection of the pressure sensor.

[0073] Step 250: Determine the second action moment corresponding to the change in the action state of the pressure sensor based on each second action state.

[0074] In this embodiment, the second action moment can be the moment when the pressure sensor reaches the action threshold in the application state. For example, the pressure applied to the pressure sensor by the pressure-applying device and the corresponding second action state can be recorded at time 1, time 2, ..., time n. If the action state of the pressure sensor changes at time 94, then time 94 can be considered the second action moment.

[0075] Step 260: Determine the state discrimination factor based on the second action time, the second target pressure data corresponding to the second action time in the second pressure dataset, and the second initial pressure data in the second pressure dataset.

[0076] In this embodiment, the second initial pressure data can be the pressure value first applied to the pressure sensor by the pressure-applying device in the application state. For example, the second initial pressure data can be the pressure value applied to the pressure sensor by the pressure-applying device at the first moment. The value corresponding to the second initial pressure data can be 0.

[0077] In an optional embodiment of the present invention, determining the state discrimination factor based on the second action time, the second target pressure data corresponding to the second action time in the second pressure dataset, and the second initial pressure data in the second pressure dataset includes: using a formula Determine the state discrimination factor; where β is the state discrimination factor; k is the second action time; Pb k Pb1 represents the second target pressure data; Pb1 represents the second initial pressure data.

[0078] In this step, specifically, under the application state of the pressure sensor, the pressure data Pa applied by the pressure-applying device at time j can be obtained. j j = 1, 2, 3, ..., k. When j = 1, the pressure sensor is not activated, and the corresponding initial pressure data at the current moment is Pb1; when j = k, the activation state of the pressure sensor changes, and the corresponding target pressure data at the current moment is Pb. k Then, the state discrimination factor β can be calculated based on the pressure application time and the corresponding pressure data.

[0079] For example, in the application state of the pressure sensor, the pressure data corresponding to the pressure sensor at time 1 can be obtained as 1; at time 80, the operating state of the pressure sensor changes, and the pressure data at this time is 8.6. This can be obtained through the formula... The calculated state discrimination factor is 0.0962.

[0080] The advantage of this setup is that it improves the accuracy of pressure sensor health status detection through explicit value calculations and standardized evaluation processes.

[0081] Step 270: Determine the health status of the pressure sensor based on the periodic variation factor and the state discrimination factor.

[0082] In this step, specifically, the health status of the pressure sensor or the pressure sensor status warning can be determined by judging whether the periodic change factor and the state discrimination factor are equal.

[0083] For example, under the standard state of the pressure sensor, the pressure data corresponding to the pressure sensor at time 1 is 0, and the value corresponding to the first action state is 0; at time 2, the pressure data corresponding to the pressure sensor is 0.1, and the value corresponding to the first action state is 0; at time 3, the pressure data corresponding to the pressure sensor is 0.3, and the value corresponding to the first action state is 0; at time 4, the pressure data corresponding to the pressure sensor is 0.6, and the value corresponding to the first action state is 0; ...; at time 96, the action state of the pressure sensor changes, the value corresponding to the first action state becomes 1, and the pressure data at this time is 9.2. This can be achieved using the formula... The calculated periodicity factor is 0.0958. Under the application state of the pressure sensor, the pressure data corresponding to the pressure sensor at time 1 is 0, and the value corresponding to the second action state is 0; at time 2, the pressure data corresponding to the pressure sensor is 0.1, and the value corresponding to the second action state is 0; at time 3, the pressure data corresponding to the pressure sensor is 0.3, and the value corresponding to the second action state is 0; at time 4, the pressure data corresponding to the pressure sensor is 0.6, and the value corresponding to the second action state is 0; ...; at time 94, the action state of the pressure sensor changes, and the pressure data at this time is 9.2. When the value corresponding to the first action state is 1, the first target pressure data corresponding to the pressure sensor is equal to the value corresponding to the second action state. Therefore, the above health status detection result of the pressure sensor can be considered as either a healthy pressure sensor or a pressure sensor warning. This can be determined using the formula... The calculated state discrimination factor is 0.0989. The periodic change factor is not equal to the state discrimination factor. Therefore, the health status detection result of the pressure sensor is a pressure sensor status warning.

[0084] The technical solution of this embodiment obtains a first pressure dataset applied to the pressure sensor by the pressure applying device under standard conditions, and a first operating state of the pressure sensor corresponding to each data point in the first pressure dataset. It then obtains a second pressure dataset applied to the pressure sensor by the pressure applying device under the application state of the pressure sensor, and a second operating state of the pressure sensor corresponding to each data point in the second pressure dataset. Based on each first operating state, it determines the first operating moment corresponding to a change in the operating state of the pressure sensor. Based on the first operating moment, the first target pressure data corresponding to the first operating moment in the first pressure dataset, and the first initial pressure data in the first pressure dataset, it determines a periodic variation factor. Based on each second operating state, it determines the second operating moment corresponding to a change in the operating state of the pressure sensor. Based on the second operating moment, the second target pressure data corresponding to the second operating moment in the second pressure dataset, and the second initial pressure data in the second pressure dataset, it determines a state discrimination factor. Finally, based on the periodic variation factor and the state discrimination factor, it determines the health status of the pressure sensor. This technical means solves the problems of inaccurate and unreliable measurement data and untimely anomaly detection that arise from relying on manual measurement to detect the health status of pressure sensors. It reduces the cost of pressure sensor health status detection and improves the reliability of power equipment operation.

[0085] Example 3

[0086] Figure 3 This is a schematic diagram of the structure of a health status detection device for a pressure sensor according to Embodiment 3 of the present invention. Figure 3 As shown, the device includes:

[0087] The standard state information acquisition module 31 is used to acquire the first pressure dataset applied to the pressure sensor by the pressure applying device corresponding to the pressure sensor under standard state, and the first action state of the pressure sensor corresponding to each data in the first pressure dataset.

[0088] Application status information acquisition module 32 is used to acquire the second pressure dataset applied by the pressure applying device to the pressure sensor under the application status of the pressure sensor, and the second action status of the pressure sensor corresponding to each data in the second pressure dataset.

[0089] The health status determination module 33 is used to determine the health status of the pressure sensor based on the first pressure dataset, each first action state, the second pressure dataset, and each second action state.

[0090] Optional, the health status determination module 33 includes:

[0091] The periodic variation factor determination unit is used to determine the periodic variation factor of the pressure sensor based on the first pressure dataset and each first action state.

[0092] The state discrimination factor determination unit is used to determine the state discrimination factor of the pressure sensor based on the second pressure dataset and each second action state.

[0093] The health status determination unit is used to determine the health status of the pressure sensor based on the periodic change factor and the status discrimination factor.

[0094] Optional, the periodic variation factor determination unit includes:

[0095] The first action moment determination subunit is used to determine the first action moment corresponding to the change of the action state of the pressure sensor based on each first action state.

[0096] The periodic variation factor determination subunit is used to determine the periodic variation factor based on the first action time, the first target pressure data corresponding to the first action time in the first pressure dataset, and the first initial pressure data in the first pressure dataset.

[0097] Optionally, the periodic variation factor determines the sub-unit, specifically used for:

[0098] Using formula Determine the periodicity factor; where α is the periodicity factor and n is the first action time; Pa n Pa1 represents the first target pressure data; Pa1 represents the first initial pressure data.

[0099] Optionally, the state discrimination factor determination unit includes:

[0100] The second action timing determination subunit is used to determine the second action timing corresponding to the change of the pressure sensor action state based on each second action state.

[0101] The state discrimination factor determination subunit is used to determine the state discrimination factor based on the second action time, the second target pressure data corresponding to the second action time in the second pressure dataset, and the second initial pressure data in the second pressure dataset.

[0102] Optionally, the state discrimination factor determines the sub-unit, specifically used for:

[0103] Using formula Determine the state discrimination factor; where β is the state discrimination factor; k is the second action time; Pb k Pb1 represents the second target pressure data; Pb1 represents the second initial pressure data.

[0104] Optional, the health status determination unit includes:

[0105] The first health status judgment subunit is used to determine the health status of the pressure sensor as healthy if the first target pressure data is the same as the second target pressure data and the periodic change factor is the same as the status discrimination factor.

[0106] The second health status judgment subunit is used to determine the health status of the pressure sensor as a pressure sensor status warning if the first target pressure data is the same as the second target pressure data and the periodic change factor is different from the status discrimination factor; otherwise, it determines the health status of the pressure sensor as a pressure sensor status fault.

[0107] The pressure sensor health status detection device provided in this embodiment of the invention can execute the pressure sensor health status detection method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0108] Example 4

[0109] Figure 4 A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0110] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0111] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0112] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the health status detection method of a pressure sensor.

[0113] In some embodiments, the pressure sensor health status detection method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or mounted on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the pressure sensor health status detection method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the pressure sensor health status detection method by any other suitable means (e.g., by means of firmware).

[0114] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0115] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0116] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0117] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0118] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0119] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0120] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0121] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for detecting the health status of a pressure sensor, characterized in that, include: Acquire a first pressure dataset applied to the pressure sensor by the pressure-applying device corresponding to the pressure sensor under standard conditions, and a first operating state of the pressure sensor corresponding to each data point in the first pressure dataset. The first operating state is used to reflect the operating state of the pressure sensor under standard conditions. Under the application state of the pressure sensor, the second pressure dataset applied by the pressure applying device to the pressure sensor, and the second operating state of the pressure sensor corresponding to each data in the second pressure dataset are obtained; The second action state is used to reflect the action state of the pressure sensor in the application state; The health status of the pressure sensor is determined based on the first pressure dataset, each of the first action states, the second pressure dataset, and each of the second action states. The determination of the health status of the pressure sensor based on the first pressure dataset, each of the first action states, the second pressure dataset, and each of the second action states includes: Based on the first pressure dataset and each of the first action states, the periodic variation factor of the pressure sensor is determined; The periodic variation factor reflects the pressure change of the pressure sensor under standard conditions from when it has never been activated to when it has been activated. Based on the second pressure dataset and each of the second action states, the state discrimination factor of the pressure sensor is determined; The state discrimination factor reflects the pressure change of the pressure sensor in the application state from when it has never been activated to when it has been activated. The health status of the pressure sensor is determined based on the periodic variation factor and the state discrimination factor. The determination of the periodicity factor of the pressure sensor based on the first pressure dataset and each of the first action states includes: Using formula Determine the periodic variation factor; in, α The periodic variation factor is... n This is the moment of the first action; The primary target pressure data; This is the initial pressure data; The determination of the state discrimination factor of the pressure sensor based on the second pressure dataset and each of the second action states includes: Using formula Determine the state discrimination factor; in, β The state discrimination factor; k This is the moment of the second action; Pb k For the second target pressure data; Pb 1 represents the second initial pressure data.

2. The method according to claim 1, characterized in that, Based on the first pressure dataset and each of the first action states, the periodicity factor of the pressure sensor is determined, including: Based on each of the first action states, determine the first action moment corresponding to the change in the action state of the pressure sensor; The periodic variation factor is determined based on the first action time, the first target pressure data corresponding to the first action time in the first pressure dataset, and the first initial pressure data in the first pressure dataset.

3. The method according to claim 2, characterized in that, Based on the second pressure dataset and each of the second action states, the state discrimination factor of the pressure sensor is determined, including: Based on each of the second action states, determine the second action moment corresponding to the change in the action state of the pressure sensor; The state discrimination factor is determined based on the second action time, the second target pressure data corresponding to the second action time in the second pressure dataset, and the second initial pressure data in the second pressure dataset.

4. The method according to claim 3, characterized in that, Determining the health status of the pressure sensor based on the periodic variation factor and the state discrimination factor includes: If the first target pressure data is the same as the second target pressure data, and the periodic change factor is the same as the state discrimination factor, then the health status of the pressure sensor is determined to be that the pressure sensor is in a healthy state. If the first target pressure data is the same as the second target pressure data, and the periodic change factor is different from the state discrimination factor, then the health status of the pressure sensor is determined to be a pressure sensor status warning. Otherwise, the health status of the pressure sensor is determined to be a pressure sensor malfunction.

5. A health status detection device for a pressure sensor, characterized in that, include: The standard state information acquisition module is used to acquire a first pressure dataset applied to the pressure sensor by the pressure application device corresponding to the pressure sensor under standard conditions, and a first operating state of the pressure sensor corresponding to each data in the first pressure dataset. The first operating state is used to reflect the operating state of the pressure sensor under standard conditions. The application status information acquisition module is used to acquire, under the application status of the pressure sensor, a second pressure dataset applied by the pressure applying device to the pressure sensor, and a second action status of the pressure sensor corresponding to each data in the second pressure dataset; The second action state is used to reflect the action state of the pressure sensor in the application state; A health status determination module is used to determine the health status of the pressure sensor based on the first pressure dataset, each of the first action states, the second pressure dataset, and each of the second action states. The health status determination module includes: The periodic variation factor determination unit is used to determine the periodic variation factor of the pressure sensor based on the first pressure dataset and each of the first action states. The periodic variation factor reflects the pressure change of the pressure sensor under standard conditions from when it has never been activated to when it has been activated. A state discrimination factor determination unit is used to determine the state discrimination factor of the pressure sensor based on the second pressure dataset and each of the second action states. The state discrimination factor reflects the pressure change of the pressure sensor in the application state from when it has never been activated to when it has been activated. A health status determination unit is used to determine the health status of the pressure sensor based on the periodic change factor and the state discrimination factor. The periodic variation factor determination unit is specifically used for: Using formula Determine the periodic variation factor; in, α The periodic variation factor is... n This is the moment of the first action; The primary target pressure data; This is the initial pressure data; The state discrimination factor determination unit is specifically used for: Using formula Determine the state discrimination factor; in, β The state discrimination factor; k This is the moment of the second action; Pb k For the second target pressure data; Pb 1 represents the second initial pressure data.

6. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the health status detection method of the pressure sensor according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the health status detection method for the pressure sensor according to any one of claims 1-4.

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