A multifunctional pressure measurement and detection system and method

Abstract

The present invention belongs to the technical field of pressure measurement and detection, and provides a multifunctional pressure measurement and detection system and method, including a high-precision pressure sensor array, an intelligent data processing unit, a multifunctional display and control interface, a wireless communication module and a self-powered system; the present invention significantly improves the accuracy and stability of measurement by combining a high-precision pressure sensor array with an adaptive calibration function; the intelligent data processing unit uses advanced machine learning algorithms to predict future pressure change trends and provide users with reliable data support; the multifunctional display and control interface integrates a touch screen and voice control, which improves the ease of use and flexibility of the system; the wireless communication module supports multiple communication methods, which is convenient for data synchronization and remote control; the self-powered system ensures long-term stable operation of the system, reducing operating costs and maintenance difficulties.

Description

Technical Field

[0001] The invention belongs to the field of pressure measurement and detection, in particular to a multifunctional pressure measurement and detection system and method. Background Art

[0002] At present, traditional pressure detection systems often have single functions and can only provide basic pressure measurement functions, and the measurement accuracy is easily affected by environmental factors such as temperature and humidity. In addition, traditional systems also have limitations in data processing and display. They can usually only provide real-time pressure values, lack the ability to predict future pressure changes, and lack convenient data synchronization and remote control functions; these limitations make it difficult for traditional pressure detection systems to meet the needs of high precision, multi-function and intelligence when applied in complex and changing environments.

[0003] Therefore, those skilled in the art have proposed a multifunctional pressure measurement and detection system and method to solve the problems raised by the background technology. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a multifunctional pressure measurement and detection system and method to solve the problem that traditional pressure detection systems in the prior art are difficult to meet the requirements of high precision, multi-function and intelligence when used in complex and changeable environments.

[0005] A multifunctional pressure measurement and detection system and method, comprising:

[0006] A high-precision pressure sensor array is used to collect pressure data in real time under different environments. The sensor array has an adaptive calibration function and can automatically adjust the measurement accuracy according to the ambient temperature and humidity;

[0007] An intelligent data processing unit, connected to the pressure sensor array, for receiving and analyzing the collected pressure data, performing data filtering, error compensation and unit conversion, and having a machine learning algorithm capable of predicting future pressure change trends based on historical data;

[0008] Multi-function display and control interface with integrated touch screen and voice control function, which is used to display real-time pressure values, historical data charts, forecast trend lines and system setting options, allowing users to adjust measurement parameters through intuitive operation or voice commands;

[0009] Wireless communication module, supporting Wi-Fi, Bluetooth and NFC communication modes, realizing data synchronization and remote control with remote servers, mobile devices or other detection systems;

[0010] The self-powered system, combined with solar panels and energy recovery mechanism, provides continuous power for the entire system, ensuring long-term stable operation even without an external power supply.

[0011] Preferably, the formula for the adaptive calibration is as follows:

[0012]

[0013] Among them, P c is the calibrated pressure value, P r is the original pressure value, E i is the environmental factor that affects the measurement accuracy (such as temperature, humidity, etc.), β i is the corresponding calibration factor.

[0014] Preferably, in order to further improve the measurement accuracy in the high-precision pressure sensor array, an error compensation algorithm is added, and the error compensation algorithm adopts a least squares error compensation algorithm.

[0015] Preferably, in the intelligent data processing unit, the data filtering is performed using an LMS (least mean square) adaptive filtering algorithm.

[0016] Preferably, when the intelligent data processing unit pre-processes the collected pressure data, a data filtering algorithm is added to improve the accuracy of the data.

[0017] Preferably, in the intelligent data processing unit, the machine learning algorithm comprises a support vector machine (SVM).

[0018] A multifunctional pressure measurement and detection method, using the above multifunctional pressure measurement and detection system, comprises:

[0019] S1, collecting pressure data of the target environment through a high-precision pressure sensor array;

[0020] S2, the intelligent data processing unit pre-processes the collected data, including removing noise, performing error correction and unit conversion;

[0021] S3, using machine learning algorithms to analyze the processed data, identify pressure change patterns, and predict future pressure values;

[0022] S4. Display real-time pressure values, historical data comparison charts, forecast trends and alarm information through a multi-functional display and control interface;

[0023] S5. According to user needs, the detection data is uploaded to the cloud or sent to a designated device through the wireless communication module to achieve remote monitoring and data analysis.

[0024] A processor is configured to execute the multifunctional pressure measurement and detection system according to the above.

[0025] A computer-readable storage medium stores a computer program, which implements the above-mentioned multifunctional pressure measurement and detection system when executed by a processor.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. The present invention uses a high-precision pressure sensor array combined with an adaptive calibration function to automatically adjust the measurement accuracy according to the ambient temperature and humidity, significantly improving the accuracy and stability of the measurement.

[0028] 2. The intelligent data processing unit of the present invention adopts advanced machine learning algorithms, which can identify pressure change patterns based on historical data, predict future pressure values, and provide users with more reliable data support.

[0029] 3. The multifunctional display and control interface of the present invention integrates touch screen and voice control functions, so that users can intuitively view real-time pressure values, historical data charts, forecast trend lines and system setting options, and adjust measurement parameters through intuitive operation or voice commands, thereby improving the usability and flexibility of the system.

[0030] 4. The present invention realizes data synchronization and remote control with remote servers, mobile devices or other detection systems through a wireless communication module that supports multiple communication modes such as Wi-Fi, Bluetooth and NFC, making it convenient for users to manage and maintain the system in different scenarios.

[0031] 5. The present invention combines a solar panel with an energy recovery mechanism to provide a self-powered system, providing continuous power for the entire system, ensuring long-term stable operation even without an external power supply, thereby reducing the operating cost and maintenance difficulty of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a framework diagram of the multifunctional pressure measurement and detection system of the present invention;

[0033] Figure 2 This is a flow chart of the multifunctional pressure measurement and detection method of the present invention. DETAILED DESCRIPTION

[0034] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0035] Embodiment: The present invention provides a multifunctional pressure measurement and detection system, such as Figure 1 As shown, including:

[0036] A high-precision pressure sensor array is used to collect pressure data in real time under different environments. The sensor array has an adaptive calibration function and can automatically adjust the measurement accuracy according to the ambient temperature and humidity;

[0037] An intelligent data processing unit, connected to the pressure sensor array, for receiving and analyzing the collected pressure data, performing data filtering, error compensation and unit conversion, and having a machine learning algorithm capable of predicting future pressure change trends based on historical data;

[0038] Multi-function display and control interface with integrated touch screen and voice control function, which is used to display real-time pressure values, historical data charts, forecast trend lines and system setting options, allowing users to adjust measurement parameters through intuitive operation or voice commands;

[0039] Wireless communication module, supporting multiple communication methods such as Wi-Fi, Bluetooth and NFC, to achieve data synchronization and remote control with remote servers, mobile devices or other detection systems;

[0040] The self-powered system, combined with solar panels and energy recovery mechanism, provides continuous power for the entire system, ensuring long-term stable operation even without an external power supply.

[0041] From the above, it can be seen that the high-precision pressure sensor array combined with the adaptive calibration function significantly improves the accuracy and stability of the measurement; the intelligent data processing unit uses advanced machine learning algorithms to predict future pressure change trends and provide users with reliable data support; the multi-function display and control interface integrates touch screen and voice control, which improves the ease of use and flexibility of the system; the wireless communication module supports multiple communication methods, which facilitates data synchronization and remote control; the self-powered system ensures the long-term stable operation of the system, reducing operating costs and maintenance difficulties.

[0042] Furthermore, the formula for the adaptive calibration is as follows:

[0043]

[0044] Among them, P c is the calibrated pressure value, P r is the original pressure value, E i is the environmental factor that affects the measurement accuracy (such as temperature, humidity, etc.), β i is the corresponding calibration coefficient;

[0045] By training the multivariate linear regression model, we can obtain β i , thereby achieving adaptive calibration of the sensor measurement accuracy.

[0046] From the above, we can see that by training the multivariate linear regression model, the corresponding calibration coefficient is obtained, and then the adaptive calibration of the sensor measurement accuracy is realized. The application of this formula significantly improves the measurement accuracy of pressure data under different environmental conditions, ensures the stability and reliability of the data, and provides users with higher quality test results.

[0047] Furthermore, in order to further improve the measurement accuracy in the high-precision pressure sensor array, an error compensation algorithm is added. The error compensation algorithm adopts a least squares error compensation algorithm, and its formula is as follows:

[0048]

[0049] Where e is the sum of squared errors, y i is the actual measured value, x i is the independent variable (such as ambient temperature, humidity, etc.), α and β are the compensation coefficients to be determined;

[0050] By minimizing e, α and β can be obtained to compensate the measured value.

[0051] From the above, it can be seen that the compensation coefficient is obtained by minimizing the sum of squared errors, and then the measured value is compensated. This method further improves the measurement accuracy, effectively reduces the errors caused by environmental factors, makes the measurement of pressure data more accurate and reliable, and provides strong data support for users' decision-making.

[0052] Furthermore, in the intelligent data processing unit, the execution data filtering adopts an LMS (least mean square) adaptive filtering algorithm, and the formula of the LMS (least mean square) adaptive filtering algorithm is as follows:

[0053] w(n+1)=w(n)+μe(n)x(n);

[0054] Where w(n) is the filter weight, μ is the learning rate, e(n) is the error signal, and x(n) is the input signal.

[0055] From the above, we can see that by dynamically adjusting the filter weights to minimize the error signal, noise can be effectively removed and data accuracy can be improved. The application of this algorithm enables the system to adapt to environmental changes in real time, ensure the stability and reliability of pressure data, and provide a high-quality data foundation for subsequent data analysis and prediction.

[0056] Furthermore, when the intelligent data processing unit pre-processes the collected pressure data, a data filtering algorithm is added to improve the accuracy of the data. The data filtering algorithm adopts a Kalman filtering algorithm, and its formula is as follows:

[0057]

[0058] in, is the state estimate, A is the state transfer matrix, B is the control matrix, u k-1 is the control input, K k is the Kalman gain, z k is the observation value, and H is the observation matrix.

[0059] From the above, it can be seen that when the intelligent data processing unit pre-processes the collected pressure data, the Kalman filtering algorithm is used for data filtering. By comprehensively considering the state estimation value and the observation value, as well as the state transition and control relationship of the system, it can achieve accurate estimation and filtering of the pressure data, effectively improve the accuracy and reliability of the data, and provide a more robust foundation for subsequent data analysis and prediction.

[0060] Furthermore, the machine learning algorithm includes a support vector machine (SVM), and the prediction formula of the support vector machine (SVM) is as follows:

[0061]

[0062] Among them, f(x) is the predicted value, a i is the weight corresponding to the support vector, K(x,x i ) is the kernel function (such as linear kernel, Gaussian kernel, etc.), b is the bias term;

[0063] By training the SVM model, we can obtain a i and b, thereby predicting future pressure values.

[0064] From the above, we can see that by training the SVM model, we can obtain the weights, kernel functions and bias terms corresponding to the support vectors, thereby achieving accurate prediction of future pressure values; the application of this method significantly improves the prediction ability of the system, allowing users to understand the pressure change trend in advance, providing a scientific basis for the formulation of relevant decisions and response measures, and enhancing the practicality and value of the system.

[0065] Working principle: The pressure data in different environments are collected in real time through a high-precision pressure sensor array, and the adaptive calibration function is used to automatically adjust the measurement accuracy according to the ambient temperature and humidity; the collected data is transmitted to the intelligent data processing unit for pre-processing operations such as filtering, error compensation and unit conversion, and machine learning algorithms (such as support vector machine SVM) are used to analyze historical data and predict future pressure change trends; the processed data is displayed to the user in an intuitive manner through a multi-functional display and control interface, and supports data synchronization and remote control with a remote server or mobile device through a wireless communication module; the entire system is provided with continuous power by a self-powered system to ensure long-term stable operation even without an external power supply.

[0066] Furthermore, the multifunctional pressure measurement and detection system of the embodiment is compared with the traditional pressure detection system (comparative example), and the following table is obtained:

[0067]

[0068]

[0069] It can be seen from the above table that the multifunctional pressure measurement and detection system of this embodiment is superior to the comparative example in terms of measurement accuracy, data processing, communication method, power supply and overall effect.

[0070] A multifunctional pressure measurement detection method, such as Figure 2 As shown, the multifunctional pressure measurement and detection system mentioned above includes:

[0071] S1, collecting pressure data of the target environment through a high-precision pressure sensor array;

[0072] S2, the intelligent data processing unit pre-processes the collected data, including removing noise, performing error correction and unit conversion;

[0073] S3, using machine learning algorithms to analyze the processed data, identify pressure change patterns, and predict future pressure values;

[0074] S4. Display real-time pressure values, historical data comparison charts, forecast trends and alarm information through a multi-functional display and control interface;

[0075] S5. According to user needs, the detection data is uploaded to the cloud or sent to the designated device through the wireless communication module to achieve remote monitoring and data analysis

[0076] The embodiment of the present application provides an electronic device, which is applicable to the above-mentioned multifunctional pressure measurement and detection system, including:

[0077] Memory, used to protect computer programs and data;

[0078] Processor, used to run system programs.

[0079] An embodiment of the present application provides a computer storage medium, which is applicable to the above-mentioned multifunctional pressure measurement and detection system, and performs hierarchical confidentiality management on the above-mentioned system and data in accordance with confidentiality management requirements.

[0080] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a system or a computer program product. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0081] The present application is described with reference to the flowcharts and / or block diagrams of the devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0082] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0083] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0084] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0085] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0086] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0087] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, commodity or device including the elements.

[0088] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A multifunctional pressure measurement and detection system, characterized in that: include: A high-precision pressure sensor array is used to collect pressure data in real time under different environments. The sensor array has an adaptive calibration function and can automatically adjust the measurement accuracy according to the ambient temperature and humidity; An intelligent data processing unit, connected to the pressure sensor array, for receiving and analyzing the collected pressure data, performing data filtering, error compensation and unit conversion, and having a machine learning algorithm capable of predicting future pressure change trends based on historical data; Multi-function display and control interface with integrated touch screen and voice control function, which is used to display real-time pressure values, historical data charts, forecast trend lines and system setting options, allowing users to adjust measurement parameters through intuitive operation or voice commands; Wireless communication module, supporting multiple communication methods such as Wi-Fi, Bluetooth and NFC, to achieve data synchronization and remote control with remote servers, mobile devices or other detection systems; The self-powered system, combined with solar panels and energy recovery mechanism, provides continuous power for the entire system, ensuring long-term stable operation even without an external power supply.

2. A multifunctional pressure measurement and detection system as claimed in claim 1, characterized in that: The formula for the adaptive calibration is as follows: Among them, P c is the calibrated pressure value, P r is the original pressure value, E i is the environmental factor that affects the measurement accuracy, β i is the corresponding calibration factor.

3. A multifunctional pressure measurement and detection system as claimed in claim 1, characterized in that: In order to further improve the measurement accuracy in the high-precision pressure sensor array, an error compensation algorithm is added, and the error compensation algorithm adopts a least squares error compensation algorithm.

4. A multifunctional pressure measurement and detection system as claimed in claim 1, characterized in that: In the intelligent data processing unit, the execution data filtering adopts LMS adaptive filtering algorithm.

5. A multifunctional pressure measurement and detection system as claimed in claim 1, characterized in that: When the intelligent data processing unit pre-processes the collected pressure data, a data filtering algorithm is added to improve the accuracy of the data.

6. A multifunctional pressure measurement and detection system as claimed in claim 1, characterized in that: In the intelligent data processing unit, the machine learning algorithm includes a support vector machine.

7. A multifunctional pressure measurement and detection method, characterized in that: A multifunctional pressure measurement and detection system according to any one of claims 1 to 6, comprising: S1, collecting pressure data of the target environment through a high-precision pressure sensor array; S2, the intelligent data processing unit pre-processes the collected data, including removing noise, performing error correction and unit conversion; S3, using machine learning algorithms to analyze the processed data, identify pressure change patterns, and predict future pressure values; S4. Display real-time pressure values, historical data comparison charts, forecast trends and alarm information through a multi-functional display and control interface; S5. According to user needs, the detection data is uploaded to the cloud or sent to a designated device through the wireless communication module to achieve remote monitoring and data analysis.

8. A processor, characterized in that: The invention is configured to implement a multifunctional pressure measurement and detection system according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, a multifunctional pressure measurement and detection system according to any one of claims 1 to 6 is implemented.

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