Automatic temperature compensation system of pressure transmitter

Abstract

The invention relates to an automatic temperature compensation system of a pressure transmitter, which comprises a plurality of modules such as the pressure transmitter, a temperature sensor, a signal conditioning circuit, a microprocessor and the like, the temperature sensor is arranged in a measured pipeline to obtain a temperature signal, and the signal conditioning circuit is used for conditioning the signal; the microprocessor receives the conditioned signals and compensates the temperature according to parameters of the pressure transmitter, three-dimensional temperature field modeling and analysis functions are achieved, the self-adaptive learning module adjusts a compensation strategy through a biological heuristic algorithm according to the environment and the measured data history, and the display module displays related temperature data. The storage module stores various data, adopts a symmetric encryption algorithm to encrypt and has a data redundancy function, the environmental parameter sensor collects environmental data and high-precision and high-frequency collection and has a self-calibration function, the communication module transmits the data, and an internal quantum encryption communication sub-module ensures transmission safety. According to the invention, the temperature can be accurately compensated, the pressure measurement precision is improved, and the data safety and the system adaptability can be guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of industrial environment monitoring applications, and particularly to an automatic temperature compensation system for pressure transmitters. Background Art

[0002] A pressure transmitter is an indispensable device in industrial process control and is widely used in several fields such as petroleum, chemical industry, electric power, and metallurgy. It is used to measure the pressure inside a pipeline or a container and convert the pressure signal into a standard electrical signal or digital signal for easy monitoring and control. For example, in the petrochemical production process, accurate pressure measurement is crucial for ensuring pipeline safety, controlling chemical reaction processes, etc. Since the sensing elements inside the pressure transmitter usually have a certain temperature coefficient, this means that changes in temperature will cause changes in the physical properties (such as resistance, capacitance, etc.) of the sensing elements. According to the basic principle of pressure measurement, these changes in physical properties will directly affect the signal output by the pressure transmitter, resulting in measurement errors.

[0003] The measurement accuracy of common pressure transmitters is easily affected by temperature changes. Due to the lack of a comprehensive analysis of the ambient temperature, only considering the temperature at the location of the pressure transmitter and not comprehensively considering factors such as the ambient temperature gradient, there are large deviations in the measurement results in different temperature environments, and the requirements for the accuracy and reliability of pressure measurement cannot be met; Moreover, the existing pressure transmitter compensation systems cannot well adapt to different working conditions and environments, cannot effectively utilize environmental parameter changes and measurement data historical records, lack the ability to adaptively adjust the compensation strategy, and cannot be adjusted in time to ensure measurement accuracy when the working conditions or environment change. At the same time, there are security risks in the data transmission process of the existing pressure transmitter systems. Without using a sufficiently secure encrypted communication method, it is easily eavesdropped, and the security of the data cannot be guaranteed, which cannot meet the working requirements of industrial environment monitoring. Therefore, an automatic temperature compensation system for pressure transmitters is proposed. Summary of the Invention

[0004] The present invention provides the following technical solutions: An automatic temperature compensation system for a pressure transmitter, comprising: A pressure transmitter, a temperature sensor, a signal conditioning circuit, a microprocessor, an adaptive learning module, a display module, a storage module, an environmental parameter sensor, and a communication module. The temperature sensor is disposed in the pipeline to be measured and is used to obtain the temperature signal related to the pressure transmitter. The signal conditioning circuit is connected to the temperature sensor and is used to condition the temperature signal obtained by the temperature sensor; The microprocessor is connected to the signal conditioning circuit, and is used to receive the conditioned temperature signal, and compensate the temperature measured by the pressure transmitter according to the parameters of the pressure transmitter to correct the accuracy of the temperature. A three-dimensional temperature field modeling and analysis function is set inside the microprocessor. The adaptive learning module is connected to the microprocessor and is used to adaptively adjust the compensation strategy according to environmental changes and historical records of measurement data. A bio-inspired algorithm is adopted inside the adaptive learning module; The display module is connected to the microprocessor and is used to display the temperature data measured by the pressure transmitter and the compensated temperature data. The storage module is connected to the microprocessor and is used to store the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The environmental parameter sensor is connected to the microprocessor and is used to obtain environmental parameter data; The environmental parameter data is used for the adaptive learning module to adjust the compensation strategy. The communication module is connected to the microprocessor and is used to transmit the measurement data of the pressure transmitter, the compensated temperature data, and system-related information to an external device. A quantum encryption communication sub-module is installed inside the communication module.

[0005] Preferably, the amplifier circuit inside the signal conditioning circuit adopts a multi-stage amplification structure, and the first stage adopts a low-noise amplifier. The filter circuit inside the signal conditioning circuit adopts an adaptive filtering algorithm, and the analog-to-digital conversion circuit inside the signal conditioning circuit adopts a high-precision analog-to-digital converter.

[0006] Preferably, when the microprocessor performs three-dimensional temperature field modeling and analysis, a three-dimensional temperature field model is constructed by using the finite element analysis method, and the measured pipeline and its surrounding environment are divided into several tiny units. According to the multi-source data obtained by the temperature sensor and the environmental parameter sensor, an initial temperature value parameter is assigned to each unit.

[0007] Preferably, the bio-inspired algorithm inside the adaptive learning module includes a genetic algorithm, a particle swarm algorithm, and a neural network algorithm.

[0008] Preferably, the display module includes a liquid crystal display screen, a touch screen, and an LED indicator light. The liquid crystal display screen is used to display the temperature data measured by the pressure transmitter, the compensated temperature data, and information on the system status. The touch screen is used to realize human-computer interaction, facilitating users to perform operations and set parameters. The LED indicator light is used to indicate the system operation status and alarm information.

[0009] Preferably, the storage module internally uses a symmetric encryption algorithm to encrypt the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The storage module is also provided with a data redundancy storage function, which can store important data in multiple copies in different storage areas.

[0010] Preferably, the quantum encryption communication sub-module in the communication module adopts a quantum key distribution protocol and distributes quantum keys through the preparation, transmission, and measurement of quantum states. At the same time, during the quantum key distribution process, the quantum characteristics of single photons are used to ensure the security of the keys.

[0011] Preferably, the environmental parameter sensor acquires environmental parameter data in a high-precision and high-frequency acquisition manner. The environmental parameter sensor is also internally provided with a self-calibration function, and the internal standard reference source is regularly used to calibrate its own measurement accuracy.

[0012] Preferably, the outside of the pressure transmitter is wrapped with heat-insulating material, and the sensor elements inside the pressure transmitter adopt micro-nano manufacturing technology to reduce the size of the sensor to the micro-nano level.

[0013] Preferably, the storage module includes a flash memory, an EEPROM memory, and an SD card interface. The flash memory is used to store the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The EEPROM memory is used to store system configuration parameters and user setting information. The SD card interface is used to expand the storage capacity for convenient data export and analysis.

[0014] In summary, compared with the prior art, the present invention provides an automatic temperature compensation system for a pressure transmitter, which has the following beneficial effects: 1. The present invention can monitor the pipeline temperature in real time through the temperature sensor, combine with the three-dimensional temperature field modeling and analysis function of the microprocessor, and utilize the multi-source data obtained by the temperature sensor and the environmental parameter sensor to more comprehensively analyze the temperature distribution. Based on this three-dimensional temperature field model, the microprocessor can achieve more accurate temperature compensation calculations, not only considering the temperature at the location of the pressure transmitter, but also considering the influence of the surrounding environmental temperature gradient on the measured temperature of the pressure transmitter, improving the precise compensation of the measurement result of the pressure transmitter, effectively eliminating the influence of temperature changes on the measurement accuracy, improving the accuracy and reliability of pressure measurement. In addition, the added adaptive learning module and the adopted bio-inspired algorithm can dynamically adjust the compensation strategy according to environmental parameter changes and historical records of measurement data, adapt to different working conditions and environments, and improve the adaptability of the system; 2. By adding a quantum encryption communication sub-module inside the communication module in the present invention, the quantum key distribution protocol and the characteristics of quantum states can be utilized to ensure the security and non-eavesdropping of data transmission, effectively preventing data leakage and tampering. At the same time, the data is encrypted and stored through the symmetric encryption algorithm inside the storage module, and by combining the data redundant storage function, the data security and reliability can be effectively guaranteed, preventing data loss and leakage. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic structural diagram of the system of the present invention.

[0016] Figure 2 It is a schematic structural diagram of the display module of the present invention.

[0017] Figure 3 It is a schematic structural diagram of the storage module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] Please refer to Figure 1 , the present invention provides a technical solution, an automatic temperature compensation system for a pressure transmitter, including: A pressure transmitter, a temperature sensor, a signal conditioning circuit, a microprocessor, an adaptive learning module, a display module, a storage module, an environmental parameter sensor, and a communication module. The temperature sensor is disposed in the pipeline to be measured for obtaining the temperature signal related to the pressure transmitter. The signal conditioning circuit is connected to the temperature sensor for conditioning the temperature signal obtained by the temperature sensor. The outside of the pressure transmitter is wrapped with a heat insulation material. The sensor element inside the pressure transmitter adopts micro-nano manufacturing technology to reduce the size of the sensor to the micro-nano level. This heat insulation material has an extremely low thermal conductivity, which can effectively reduce the influence of the external environmental temperature on the internal components of the pressure transmitter and improve the accuracy of the pressure transmitter in measuring temperature. At the same time, the sensor element inside the pressure transmitter adopts micro-nano manufacturing technology to reduce the size of the sensor to the micro-nano level, which can improve the sensitivity and response speed of the sensor, enabling the pressure transmitter to more quickly and accurately sense the changes in pressure and temperature; The microprocessor is connected to the signal conditioning circuit, which is used to receive the conditioned temperature signal and compensate for the temperature measured by the pressure transmitter according to the parameters of the pressure transmitter to correct the accuracy of the temperature. The amplifier circuit inside the signal conditioning circuit adopts a multi-stage amplification structure. The first stage uses a low-noise amplifier, which can minimize the noise introduced by itself while amplifying weak signals. In an industrial environment, the signals obtained by temperature sensors are often very weak and are easily interfered by ambient noise, such as electromagnetic interference from electrical equipment. The use of a low-noise amplifier can effectively improve the signal-to-noise ratio of the signal, enabling subsequent circuits to process the signal more accurately. The filtering circuit adopts an adaptive filtering algorithm, which is an intelligent filtering method. Different from traditional fixed-parameter filtering circuits, the adaptive filtering algorithm can dynamically adjust the filtering parameters according to the different noise frequency characteristics. In an actual industrial environment, the frequency and amplitude of the noise are constantly changing. For example, during different production stages or equipment operating states, the electromagnetic interference frequency generated by electrical equipment may change. The adaptive filtering algorithm can analyze the noise characteristics in the input signal in real time and adjust the filtering parameters accordingly, effectively filtering out various interference signals and ensuring the purity of the output signal. The filtering circuit inside the signal conditioning circuit adopts an adaptive filtering algorithm, and the analog-to-digital conversion circuit inside the signal conditioning circuit uses a high-precision analog-to-digital converter; The microprocessor is internally equipped with a three-dimensional temperature field modeling and analysis function. When the microprocessor performs three-dimensional temperature field modeling and analysis, it constructs a three-dimensional temperature field model using the finite element analysis method and divides the measured pipeline and its surrounding environment into several tiny units. According to the multi-source data obtained by temperature sensors and environmental parameter sensors, initial temperature value parameters are assigned to each unit. During the model construction process, the influence of various physical properties such as the thermal conductivity of the pipeline material and the heat convection coefficient of the environment is considered, and the model is continuously optimized through iterative calculations to ensure that the model can accurately reflect the actual temperature field distribution. Through this three-dimensional temperature field model, the microprocessor can analyze the gradient changes of temperature in different directions, thereby more accurately determining the influence relationship between the temperature at the location of the pressure transmitter and the ambient temperature, and further improving the accuracy of temperature compensation; The adaptive learning module is connected to the microprocessor and is used to adaptively adjust the compensation strategy according to environmental changes and the historical record of measurement data. The bio-inspired algorithm is adopted inside the adaptive learning module. The bio-inspired algorithm inside the adaptive learning module includes genetic algorithm, particle swarm algorithm and neural network algorithm. In the specific application of this algorithm, different combinations of environmental conditions and the working states of pressure transmitters are regarded as different "food sources". Each "ant" represents a possible direction of compensation strategy adjustment. During the search process, the "ant" selects the path according to the concentration of "pheromone", and the concentration of "pheromone" is related to the effectiveness of this strategy in a similar environment before. Through the parallel search and information exchange of multiple "ants", the optimal direction of compensation strategy adjustment is finally found. Moreover, in order to prevent the algorithm from falling into a local optimal solution, a random perturbation mechanism is also set, enabling the "ant" to explore new paths with a certain probability and ensuring the global search ability of the algorithm; The particle swarm algorithm simulates the group behavior of bird flocks or fish schools. In this algorithm, each particle represents a possible direction of compensation strategy adjustment. The particle continuously adjusts its position (i.e., the compensation strategy) in the search space according to its own experience and the experience of the group. Each particle has its own speed and position, and the speed of the particle determines its moving direction and distance in the search space. The particle will adjust its speed and position according to the optimal position it has found (individual optimal) and the optimal position found by the entire particle swarm (global optimal). For example, in an industrial production process, when the environmental parameters change, the particles in the particle swarm algorithm will quickly adjust the compensation strategy according to the previous experience and the best strategy of the entire particle swarm to adapt to the impact of environmental changes on the measurement of the pressure transmitter, so as to find the optimal compensation strategy and improve the measurement accuracy; At the same time, the neural network algorithm uses the connections and weights between neurons to process information. Through learning and training on a large amount of historical measurement data, the neural network algorithm can establish a complex mapping relationship between environmental changes and compensation strategies. The neural network consists of an input layer, a hidden layer and an output layer. The input layer receives information such as environmental parameter changes and measurement data, and after complex operations by the neurons in the hidden layer, finally outputs a suitable compensation strategy at the output layer. For example, in the long-term industrial production process, the neural network algorithm continuously learns the best compensation strategies under different environmental parameters. When encountering new environmental changes, it can quickly and accurately output a compensation strategy adapted to the new environment according to the mapping relationship learned before, so as to achieve an adaptive adjustment of the compensation strategy and improve the adaptability of the system. This kind of adaptive learning module can dynamically adjust the compensation strategy according to environmental parameter changes and the historical record of measurement data, adapt to different working conditions and environments, and improve the adaptability of the system; The display module is connected to the microprocessor and is used to display the temperature data measured by the pressure transmitter and the compensated temperature data. Please refer toFigure 2 , the display module includes a liquid crystal display screen, a touch screen, and LED indicators. The liquid crystal display screen is used to display the temperature data measured by the pressure transmitter, the compensated temperature data, and the information of the system status. The touch screen is used to achieve human-machine interaction, facilitating users to perform operations and parameter settings. The LED indicators are used to indicate the system operation status and alarm information, and the liquid crystal display screen has advantages such as high definition and low power consumption. In an industrial environment, operators need to clearly see the measurement results of the pressure transmitter and the system status. For example, the liquid crystal display screen can display temperature data in the form of numbers and charts, enabling operators to intuitively understand the temperature changes. At the same time, it can also display the working status of the system, such as whether temperature compensation is in progress, whether there are faults, etc. The added touch screen allows users to easily adjust the relevant parameters of the pressure transmitter through the touch screen, such as the range of temperature compensation, alarm threshold, etc. For example, in a chemical production workshop, operators can directly enter the parameters they want to set on the touch screen without using complex input devices such as keyboards or knobs, improving the operation efficiency and convenience. And by adding LED indicators, when the system is running normally, the LED indicators can display green, indicating that the system is in a normal working state; when the system has abnormal situations, such as the temperature compensation exceeding the normal range, communication faults, etc., the LED indicators will display red or flash, reminding users to handle problems in time. For example, in the process of power production, if the temperature compensation of the pressure transmitter is abnormal, the red flashing of the LED indicator can quickly attract the attention of operators so that they can troubleshoot faults in time and ensure the safety and stability of production; The storage module is connected to the microprocessor and is used to store the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The environmental parameter sensor is connected to the microprocessor and is used to obtain environmental parameter data. The storage module internally uses a symmetric encryption algorithm to encrypt the stored parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The storage module is also provided with a data redundant storage function, which can store important data in multiple copies in different storage areas. The data redundant storage function is to prevent data loss caused by local damage of the storage medium. In an industrial environment, storage devices may be affected by various factors, such as electromagnetic interference, physical impact, etc., resulting in failures of the storage medium. For example, in a large oil refinery, the flash memory storing the data of the pressure transmitter may have partial data damage due to the strong electromagnetic interference of the nearby motor. Due to the adoption of the data redundant storage function, important data has backups in different storage areas. Even if the data in a certain storage area is damaged, the complete data can still be restored from other backup areas, ensuring the reliability of the data; Please refer to Figure 3Meanwhile, the storage module includes a flash memory, an EEPROM memory, and an SD card interface. The flash memory is used to store the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The EEPROM memory is used to store the system configuration parameters and user setting information. The SD card interface is used to expand the storage capacity for convenient data export and analysis; The environmental parameter data is used by the adaptive learning module to adjust the compensation strategy. High-precision acquisition can ensure the accuracy of the obtained environmental parameter data. The communication module is connected to the microprocessor and is used to transmit the measurement data of the pressure transmitter, the compensated temperature data, and system-related information to an external device. The environmental parameter sensor acquires the environmental parameter data in a high-precision and high-frequency acquisition manner, which is crucial for the entire temperature compensation system. For example, for the measurement of temperature environmental parameters, the accuracy may reach ±0.1 °C, and for the measurement of humidity environmental parameters, the accuracy may reach ±1%RH, etc. High-frequency acquisition can capture the changes in environmental parameters in a timely manner. In an industrial environment, environmental parameters may change rapidly. For example, a sudden leakage event during a chemical production process may cause rapid changes in the surrounding humidity and temperature. High-frequency acquisition enables the system to obtain this change information in a timely manner. The internal of the environmental parameter sensor is also equipped with a self-calibration function, and the internal standard reference source is used to calibrate its own measurement accuracy regularly. The self-calibration function is an important guarantee for ensuring the long-term stable operation of the environmental parameter sensor. Over time and due to environmental influences, the measurement accuracy of the environmental parameter sensor may drift. Through regular self-calibration, the measurement accuracy can be adjusted back to the normal range to ensure the reliability of the obtained environmental parameter data. For example, during long-term industrial operation, the environmental parameter sensor may experience a decrease in measurement accuracy due to factors such as dust and chemical substance erosion. The regular self-calibration function can detect this decrease in accuracy and calibrate the sensor through the internal standard reference source to ensure that its measurement accuracy always remains within an acceptable range; The communication module is internally equipped with a quantum encryption communication sub-module. The quantum encryption communication sub-module in the communication module adopts the quantum key distribution protocol and distributes quantum keys through the preparation, transmission, and measurement of quantum states. Meanwhile, during the quantum key distribution process, the quantum characteristics of single photons are used to ensure the security of the keys.

[0020] This solution monitors the pipeline temperature in real time through a temperature sensor, combines the three-dimensional temperature field modeling and analysis function of a microprocessor, and uses multi-source data obtained by the temperature sensor and environmental parameter sensors to more comprehensively analyze the temperature distribution. Based on this three-dimensional temperature field model, the microprocessor can achieve more accurate temperature compensation calculations, taking into account not only the temperature at the location of the pressure transmitter but also the influence of the surrounding environmental temperature gradient on the measured temperature of the pressure transmitter, improving the precise compensation of the measurement results of the pressure transmitter, effectively eliminating the influence of temperature changes on the measurement accuracy, and enhancing the accuracy and reliability of pressure measurement. Additionally, the added adaptive learning module and the adopted bio-inspired algorithm can dynamically adjust the compensation strategy according to environmental parameter changes and historical records of measurement data, adapt to different working conditions and environments, and improve the adaptability of the system.

[0021] Secondly, this solution enables the use of the quantum key distribution protocol and the characteristics of quantum states to ensure the security and non-eavesdropping of data transmission by adding a quantum encryption communication sub-module inside the communication module, effectively preventing data leakage and tampering. At the same time, the data is encrypted and stored through a symmetric encryption algorithm inside the storage module, and by combining the data redundancy storage function, the data security and reliability can be effectively guaranteed, preventing data loss and leakage.

[0022] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0023] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automated temperature compensation system for a pressure transmitter, characterized in that, Including: A pressure transmitter, a temperature sensor, a signal conditioning circuit, a microprocessor, an adaptive learning module, a display module, a storage module, an environmental parameter sensor, and a communication module. The temperature sensor is disposed in the pipeline to be measured for acquiring a temperature signal related to the pressure transmitter. The signal conditioning circuit is connected to the temperature sensor for conditioning the temperature signal acquired by the temperature sensor. The microprocessor is connected to the signal conditioning circuit for receiving the conditioned temperature signal and compensating the temperature measured by the pressure transmitter according to the parameters of the pressure transmitter to correct the accuracy of the temperature. A three-dimensional temperature field modeling and analysis function is provided inside the microprocessor. The adaptive learning module is connected to the microprocessor for adaptively adjusting the compensation strategy according to environmental changes and historical records of measurement data, and a bio-inspired algorithm is adopted inside the adaptive learning module. The display module is connected to the microprocessor for displaying the temperature data measured by the pressure transmitter and the compensated temperature data. The storage module is connected to the microprocessor for storing the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The environmental parameter sensor is connected to the microprocessor for acquiring environmental parameter data. The environmental parameter data is used by the adaptive learning module to adjust the compensation strategy. The communication module is connected to the microprocessor for transmitting the measurement data of the pressure transmitter, the compensated temperature data, and system-related information to an external device. A quantum encryption communication sub-module is installed inside the communication module.

2. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The amplifier circuit inside the signal conditioning circuit adopts a multi-stage amplification structure, and the first stage uses a low-noise amplifier. The filter circuit inside the signal conditioning circuit adopts an adaptive filtering algorithm.

3. The automatic temperature compensation system of the pressure transmitter according to claim 1, characterized in that: When performing three-dimensional temperature field modeling and analysis, the microprocessor constructs a three-dimensional temperature field model using the finite element analysis method, divides the pipeline to be measured and its surrounding environment into several tiny units, and assigns initial temperature value parameters to each unit according to the multi-source data acquired by the temperature sensor and the environmental parameter sensor.

4. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The bio-inspired algorithm inside the adaptive learning module includes a genetic algorithm, a particle swarm algorithm, and a neural network algorithm.

5. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The display module includes a liquid crystal display screen, a touch screen, and an LED indicator light. The liquid crystal display screen is used for displaying the temperature data measured by the pressure transmitter, the compensated temperature data, and information on the system status. The touch screen is used for realizing human-computer interaction to facilitate users to perform operations and parameter settings. The LED indicator light is used for indicating the system operation status and alarm information.

6. The automated temperature compensation system for the pressure transmitter according to claim 1, characterized in that: The storage module internally uses a symmetric encryption algorithm to encrypt the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data stored. A data redundancy storage function is also provided in the storage module, and important data can be stored in multiple copies in different storage areas.

7. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The quantum encryption communication sub-module in the communication module adopts the quantum key distribution protocol, and distributes quantum keys through the preparation, transmission, and measurement of quantum states. At the same time, during the quantum key distribution process, the quantum characteristics of single photons are utilized to ensure the security of the keys.

8. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The internal of the environmental parameter sensor is also provided with a self-calibration function, and the internal standard reference source is regularly used to calibrate its own measurement accuracy.

9. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The outside of the pressure transmitter is wrapped with heat-insulating materials, and the sensor element inside the pressure transmitter adopts micro-nano manufacturing technology to reduce the size of the sensor to the micro-nano level.

10. The automated temperature compensation system of the pressure transmitter according to claim 1, characterized in that: The storage module includes a flash memory, an EEPROM memory, and an SD card interface. The flash memory is used to store the parameters of the pressure transmitter, the measurement data of the temperature sensor, the compensation strategy, and the compensated temperature data. The EEPROM memory is used to store the system configuration parameters and user setting information. The SD card interface is used to expand the storage capacity for convenient data export and analysis.

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