Novel intelligent valve actuator

Abstract

The invention belongs to the field of intelligent valves and actuators, and provides a novel intelligent valve actuator which comprises a sensing detection unit used for detecting temperature, pressure, differential pressure and flow parameters in the working environment of a valve in real time, and an intelligent control unit used for receiving data of the sensing detection unit, processing the data according to a preset algorithm and sending the processed data to the valve actuator. The intelligent control unit is used for controlling the opening and closing states of the valve, and the wireless remote transmission unit is used for wirelessly transmitting data of the sensing detection unit and a processing result of the intelligent control unit to external equipment; according to the novel intelligent valve actuator, real-time monitoring, intelligent control, wireless remote transmission, safety protection and user-friendly interaction of valve working environment parameters are achieved, and the intelligent level and the automation degree of the valve actuator are remarkably improved; the problems that a traditional valve actuator is single in function and cannot monitor working environment parameters in real time are solved.

Description

Technical Field

[0001] The invention belongs to the field of intelligent valves and actuators, in particular to a novel intelligent valve actuator. Background Art

[0002] In the field of valve actuators, traditional valve actuators often lack intelligent and automated functions, and their working mode is relatively simple. They are unable to monitor various parameters in the valve working environment in real time and accurately, such as temperature, pressure, differential pressure and flow. Real-time monitoring of these parameters is crucial to ensure the normal operation of the valve and the overall stability of the system. However, traditional valve actuators can usually only be monitored through manual inspections or simple sensors, which is not only inefficient but also prone to errors due to human factors.

[0003] In addition, the control method of traditional valve actuators is relatively backward, usually using fixed control logic, and unable to dynamically adjust the control strategy according to real-time data, which may result in the valve's opening and closing state not accurately matching the actual working requirements, thus affecting the system's performance and efficiency. At the same time, due to the lack of remote communication capabilities, the status data and alarm information of traditional valve actuators cannot be transmitted to external devices in a timely manner, resulting in delays in fault detection and processing.

[0004] Therefore, those skilled in the art have proposed a novel intelligent valve actuator to solve the problems raised by the background technology. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a novel intelligent valve actuator to solve the problems existing in the prior art.

[0006] A novel intelligent valve actuator includes a sensing detection unit for real-time detection of temperature, pressure, differential pressure and flow parameters in the valve working environment;

[0007] An intelligent control unit receives data from the sensing detection unit and processes the data according to a preset algorithm to control the opening and closing state of the valve;

[0008] A wireless remote transmission unit, used for wirelessly transmitting the data of the sensing detection unit and the processing result of the intelligent control unit to an external device;

[0009] A power management module, providing power support for the sensing detection unit, the intelligent control unit and the wireless remote transmission unit;

[0010] A safety protection module monitors the operating status of the smart valve actuator and executes protection measures when an abnormality is detected;

[0011] The human-machine interaction interface module provides an interface for the user to interact with the intelligent valve actuator, and is used to set parameters and view status.

[0012] Preferably, the sensing unit includes a temperature sensor for detecting the temperature of the valve working environment and using the formula T measured =T sensor +ΔT calibration , where T measured is the temperature after calibration, T sensor is the original reading of the sensor, ΔT calibration is the calibration offset;

[0013] A pressure sensor is used to detect the pressure at the inlet and / or outlet of the valve and calculate the precise pressure value through a linear interpolation algorithm;

[0014] The differential pressure sensor is used to detect the pressure difference on both sides of the valve, which is calculated using the formula ΔP = P1-P2, where P1 and P2 are the pressures on both sides of the valve respectively;

[0015] Flow sensor, flow calculation formula using the mass conservation principle Where A is the flow channel area, V is the flow velocity, and ρ is the fluid density.

[0016] Preferably, the intelligent control unit further comprises:

[0017] A data preprocessing module, which uses a median filtering algorithm to filter the data of the sensor detection unit to remove noise;

[0018] The decision logic module calculates the control signal according to the PID control algorithm.

[0019] Its formula is Where e is the error, K p , K i , K d are the proportional, integral, and differential coefficients respectively.

[0020] Preferably, the preset algorithm can be adjusted to a fuzzy logic control algorithm, whose basic principles and formulas include:

[0021] Fuzzification of input variables: Mapping continuous variables (such as temperature T, pressure P, differential pressure ΔP, flow rate Q) to fuzzy sets;

[0022] Fuzzy rule base: establish fuzzy rules of the form "if A and B, then C", where A and B are fuzzy sets of input variables and C is the fuzzy set of output variables;

[0023] Fuzzy reasoning: Mamdan i reasoning method is used to calculate the membership function of the output variable fuzzy set. For each rule, the membership function of the output variable is a composite operation of the intersection of the input variable membership function (AND operation) and the union of the membership function of the rule consequence (OR operation);

[0024] Defuzzification: Convert the fuzzy set of output variables into precise control signals.

[0025] Preferably, the wireless remote transmission unit uses Huffman coding to compress data before data transmission, and its algorithm formula and steps include character frequency statistics: counting the frequency f(x) of each character appearing in the data i );

[0026] Construct a priority queue: According to the frequency f(x i ) Construct a priority queue, with characters with high frequency taking priority;

[0027] Construct a Huffman tree: Take the two nodes with the lowest frequencies from the priority queue as the left and right child nodes, and create a new node as their parent node. The frequency of the parent node is the sum of the frequencies of the two child nodes. Insert the new node into the priority queue, and repeat this process until there is only one node left in the queue, which is the root node of the Huffman tree.

[0028] Generate Huffman code: Starting from the root node, the code is 0 when moving to the left child node, and the code is 1 when moving to the right child node. The path of each character from the root node to the leaf node is recorded, which is the Huffman code of the character.

[0029] Preferably, the external control system uses a support vector machine (SVM) algorithm to analyze the received data and predict the system state, and the formula is: Where x is the input data, y i is the label of the training sample, a i is the weight of the support vector K(x,x i ) is the kernel function and b is the bias term.

[0030] Preferably, the safety protection module includes over-temperature protection, and the over-temperature protection adopts a threshold judgment algorithm T measured >T threshold The protection is triggered.

[0031] Preferably, the human-computer interaction interface module adopts an adaptive interface layout algorithm, and its formula and steps include:

[0032] Screen size detection: Get the screen size and resolution of the current device;

[0033] Layout parameter calculation: Calculate the size, position, spacing and other parameters of interface elements based on screen size and resolution, so that the interface can maintain good visual effects and user experience on different devices.

[0034] Preferably, the self-diagnosis module adopts a fault tree analysis (FTA) algorithm, whose formula and steps include:

[0035] Construct fault tree: Construct fault tree model according to system structure and function, including top events, intermediate events and basic events;

[0036] Calculate the probability of occurrence of the top event: Use logic gates (AND gates, OR gates, etc.) to calculate the probability of occurrence of the top event (system failure), the formula is P top =F(P1,P2,...,P n ), where P1, P2, ..., P n is the probability of occurrence of basic events, and F is the logic gate function.

[0037] Preferably, the energy-saving mode of the power management module adopts a low-power wake-up algorithm, and its formula and strategy include:

[0038] Wake-up condition judgment: Set wake-up conditions based on system activity and user needs, such as time intervals, sensor data changes, etc.

[0039] Power consumption calculation: calculate the power consumption in different working modes, including sleep mode, wake-up mode, data transmission mode, etc.;

[0040] Low power strategy: Select the lowest power consumption working mode while meeting system requirements.

[0041] Through the above technical solution,

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] 1. The present invention provides a new type of intelligent valve actuator, which realizes real-time monitoring, intelligent control, wireless remote transmission, safety protection and user-friendly interaction of valve working environment parameters by integrating a sensor detection unit, an intelligent control unit, a wireless remote transmission unit, a power management module, a safety protection module and a human-machine interaction interface module, thereby significantly improving the intelligence level and automation degree of the valve actuator and solving the problem that the traditional valve actuator has a single function and cannot monitor the working environment parameters in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a system module unit diagram of the present invention; DETAILED DESCRIPTION

[0045] 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.

[0046] Embodiment 1: As shown in the attached Figure 1 As shown: The present invention provides a novel intelligent valve actuator, including a sensing detection unit for real-time detection of temperature, pressure, differential pressure and flow parameters in the valve working environment. The detection unit can be integrated into the intelligent actuator body, and the intelligent actuator can also reserve a signal access port for the detection unit;

[0047] The intelligent control unit receives the data from the sensing detection unit and processes the data according to the preset algorithm to control the opening and closing state of the valve. It collects the real-time data of the pressure (temperature, differential pressure, flow) of the medium and converts it into a standard control signal through the intelligent PID regulator to control the opening of the valve. It can directly automatically adjust and control the pressure, temperature, differential pressure, flow) of hot water, cold water, steam, hot gas, hot oil and other media;

[0048] The wireless remote transmission unit is used to wirelessly transmit the data of the sensor detection unit and the processing results of the intelligent control unit to external devices. The new intelligent valve actuator is equipped with a communication interface, supporting MODBUS, WIFI, RFID, NFC, ZigBee, Bluetooth, LoRa, NGSM, GPRS, 3 / 4 / 5G network, Ethernet, RS232, RS485, USB, etc. The cloud server is set up in the background. The new valve actuator can upload data to the cloud server through the remote transmission protocol, and the data interface is reserved for users to access data from the cloud server and display it on the smart terminal;

[0049] The power management module provides power support for the sensor detection unit, intelligent control unit and wireless remote transmission unit. It can be connected to the mains, distributed power generation units (solar energy, wind energy, etc.) and storage batteries;

[0050] Safety protection module, which monitors the operating status of the smart valve actuator and executes protection measures when an abnormality is detected;

[0051] The human-machine interaction interface module provides an interface for users to interact with the intelligent valve actuator, which is used to set parameters and view status. The overall system structure of the present invention is more complete, integrating multiple functional modules, and realizing comprehensive intelligent control of the valve actuator. This improves the automation level and operating efficiency of the valve actuator and reduces the need for manual intervention.

[0052] Preferably, the sensing unit includes a temperature sensor for detecting the temperature of the valve working environment and using the formula T measured =T sensor +ΔTcalibration , where T measured is the temperature after calibration, T sensor is the original reading of the sensor, ΔT calibration is the calibration offset;

[0053] A pressure sensor is used to detect the pressure at the inlet and / or outlet of the valve and calculate the precise pressure value through a linear interpolation algorithm;

[0054] The differential pressure sensor is used to detect the pressure difference on both sides of the valve, which is calculated using the formula ΔP = P1-P2, where P1 and P2 are the pressures on both sides of the valve respectively;

[0055] Flow sensor, flow calculation formula using the mass conservation principle A is the flow area, V is the flow velocity, and ρ is the fluid density. The diversity of the sensing detection unit can monitor the working environment parameters of the valve actuator in real time and provide accurate data support for subsequent intelligent control. Compared with the existing technology, the accuracy and comprehensiveness of data monitoring are improved, and rich input data is provided for the intelligent control unit, so that the control algorithm can make decisions based on more comprehensive information, and the control accuracy and response speed are improved.

[0056] As can be seen from the above, this device integrates multiple module units such as sensor detection, intelligent control, wireless remote transmission, external control, safety protection, human-computer interaction, self-diagnosis and power management, forming a set of fully functional systems. At the same time, the diversity of sensor detection units can monitor the working environment parameters of the valve actuator in real time, providing accurate data support for subsequent intelligent control. Compared with the existing technology, the accuracy and comprehensiveness of data monitoring are improved.

[0057] Embodiment 2: As shown in the attached Figure 1 As shown: This embodiment is basically the same as the previous embodiment, except that the intelligent control unit further includes:

[0058] The data preprocessing module uses a median filter algorithm to filter the data of the sensor detection unit to remove noise;

[0059] The decision logic module calculates the control signal according to the PID control algorithm.

[0060] Its formula is Where e is the error, K p , K i , K dThey are proportional, integral and differential coefficients respectively. The data preprocessing module can ensure the accuracy of input data and reduce the impact of noise on the control algorithm. The decision logic module is based on the PID control algorithm to achieve precise control of the valve actuator. Compared with the existing technology, it improves the stability and reliability of control, ensures that the intelligent control unit can make decisions based on accurate data, and improves the accuracy and robustness of control.

[0061] Furthermore, the preset algorithm can be adjusted to a fuzzy logic control algorithm, whose basic principles and formulas include:

[0062] Fuzzification of input variables: Mapping continuous variables (such as temperature T, pressure P, differential pressure ΔP, flow rate Q) to fuzzy sets;

[0063] Fuzzy rule base: establish fuzzy rules of the form "if A and B, then C", where A and B are fuzzy sets of input variables and C is the fuzzy set of output variables;

[0064] Fuzzy reasoning: Mamdan i reasoning method is used to calculate the membership function of the output variable fuzzy set. For each rule, the membership function of the output variable is a composite operation of the intersection of the input variable membership function (AND operation) and the union of the membership function of the rule consequence (OR operation);

[0065] Defuzzification: Convert the fuzzy set of output variables into precise control signals. The fuzzy logic control algorithm can handle nonlinear, uncertain and fuzzy problems, making the control algorithm more flexible and intelligent. Compared with the existing technology, it improves the adaptability and robustness of the control, and provides a new control strategy for the intelligent control unit. The algorithm parameters can be adjusted according to actual needs to achieve more flexible control.

[0066] Specifically, the wireless remote transmission unit uses Huffman coding to compress data before data transmission. Its algorithm formula and steps include character frequency statistics: counting the frequency of each character appearing in the data f(x i );

[0067] Construct a priority queue: According to the frequency f(x i ) Construct a priority queue, with characters with high frequency taking priority;

[0068] Construct a Huffman tree: Take the two nodes with the lowest frequencies from the priority queue as the left and right child nodes, and create a new node as their parent node. The frequency of the parent node is the sum of the frequencies of the two child nodes. Insert the new node into the priority queue, and repeat this process until there is only one node left in the queue, which is the root node of the Huffman tree.

[0069] Generate Huffman code: starting from the root node, the code is 0 when moving to the left child node, and the code is 1 when moving to the right child node. The path of each character from the root node to the leaf node is recorded, which is the Huffman code of the character. Huffman coding can efficiently compress data, reduce the amount of data transmission, and improve transmission efficiency. Compared with the existing technology, it reduces the energy consumption and cost of data transmission, optimizes the performance of the wireless remote transmission unit, and makes data transmission more efficient and reliable.

[0070] From the above, it can be seen that the present invention describes that the data preprocessing module adopts the median filtering algorithm for filtering and the decision logic module calculates the control signal according to the PID control algorithm; explains that the preset algorithm can be adjusted to a fuzzy logic control algorithm, and introduces its basic principles and formulas; points out that the wireless remote transmission unit adopts Huffman coding for data compression before data transmission, and summarizes its algorithm formula and steps. Compared with the prior art, it reduces the energy consumption and cost of data transmission, optimizes the performance of the wireless remote transmission unit, and makes data transmission more efficient and reliable.

[0071] Embodiment 3: As shown in the attached Figure 1 As shown: Based on the first embodiment, the external control system uses the support vector machine (SVM) algorithm to analyze the received data and predict the system state. The formula is: Where x is the input data, y i is the label of the training sample, a i is the weight of the support vector K(x,x i ) is the kernel function, b is the bias term, and the SVM algorithm has powerful data processing and analysis capabilities, can accurately predict the system status, and provide support for fault warning and preventive maintenance. Compared with the existing technology, it enhances the intelligence of the external control system, enables the system to detect and deal with potential problems in advance, and improves the stability and security of the system.

[0072] Preferably, the safety protection module includes over-temperature protection, and the over-temperature protection adopts a threshold judgment algorithm T measured >T threshold The over-temperature protection can monitor the temperature of the valve actuator in real time and trigger the protection mechanism when the temperature exceeds the set threshold to prevent equipment damage and accidents, providing the necessary safety guarantee for the valve actuator and ensuring the stable operation of the equipment and the safety of personnel.

[0073] Furthermore, the human-computer interaction interface module adopts an adaptive interface layout algorithm, and its formula and steps include:

[0074] Screen size detection: Get the screen size and resolution of the current device;

[0075] Layout parameter calculation: Calculate the size, position, spacing and other parameters of the interface elements according to the screen size and resolution, so that the interface can maintain good visual effects and user experience on different devices. The adaptive interface layout algorithm can ensure that the human-computer interaction interface can maintain good visual effects and user experience on different devices. Compared with the existing technology, the compatibility and user-friendliness of the interface are improved.

[0076] Specifically, the self-diagnosis module adopts a fault tree analysis (FTA) algorithm, and its formula and steps include:

[0077] Construct fault tree: Construct fault tree model according to system structure and function, including top events, intermediate events and basic events;

[0078] Calculate the probability of occurrence of the top event: Use logic gates (AND gates, OR gates, etc.) to calculate the probability of occurrence of the top event (system failure), the formula is P top =F(P1,P2,...,P n ), where P1, P2, ..., P n is the probability of occurrence of basic events, F is the logic gate function, and the FTA algorithm can systematically analyze the causes and probabilities of equipment failures, provide support for fault detection and maintenance, and improve the accuracy and efficiency of fault diagnosis compared with the existing technology.

[0079] Furthermore, the energy-saving mode of the power management module adopts a low-power wake-up algorithm, and its formula and strategy include:

[0080] Wake-up condition judgment: Set wake-up conditions based on system activity and user needs, such as time intervals, sensor data changes, etc.

[0081] Power consumption calculation: calculate the power consumption in different working modes, including sleep mode, wake-up mode, data transmission mode, etc.;

[0082] Low power strategy: Under the premise of meeting system requirements, the lowest power consumption working mode is selected. The low power wake-up algorithm can reduce the power consumption of the device and extend the battery life under the premise of meeting system requirements. Compared with the existing technology, it improves the energy-saving performance and endurance of the device.

[0083] From the above, it can be seen that the present invention focuses on the multi-faceted functions and optimization of the new intelligent valve actuator. Through the system self-check and fault warning mechanism, it ensures the stable operation of the equipment, and realizes the functions of real-time monitoring and feedback control through integrated sensors; through the remote configuration and parameter adjustment capabilities, the flexibility of the equipment is improved; the low-power standby mode and wake-up mechanism extend the battery life.

[0084] 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 is understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention. It should be understood that the various parts of the present invention may be implemented with hardware, software, firmware or a combination thereof. In the above embodiments, a plurality of steps or methods may be implemented with software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented with hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0085] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0086] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0087] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A new type of intelligent valve actuator, characterized in that: include: The sensing detection unit is used to detect the temperature, pressure, differential pressure and flow parameters in the valve working environment in real time; An intelligent control unit receives data from the sensing detection unit and processes the data according to a preset algorithm to control the opening and closing state of the valve; A wireless remote transmission unit, used for wirelessly transmitting the data of the sensing detection unit and the processing result of the intelligent control unit to an external device; A power management module, providing power support for the sensing detection unit, the intelligent control unit and the wireless remote transmission unit; A safety protection module monitors the operating status of the smart valve actuator and executes protection measures when an abnormality is detected; The human-machine interaction interface module provides an interface for the user to interact with the intelligent valve actuator, and is used to set parameters and view status.

2. A novel intelligent valve actuator as claimed in claim 1, characterized in that: The sensing unit includes a temperature sensor for detecting the temperature of the valve working environment and using the formula T measured =T sensor +ΔT calibration , where T measured is the temperature after calibration, T sensor is the original reading of the sensor, ΔT calibration is the calibration offset; A pressure sensor is used to detect the pressure at the inlet and / or outlet of the valve and calculate the precise pressure value through a linear interpolation algorithm; The differential pressure sensor is used to detect the pressure difference on both sides of the valve, and is calculated using the formula ΔP = P1-P2, where P < sub>1 and P1 are the pressures on both sides of the valve respectively; Flow sensor, flow calculation formula using the mass conservation principle Where A is the flow channel area, V is the flow velocity, and ρ is the fluid density.

3. A novel intelligent valve actuator as claimed in claim 1, characterized in that: The intelligent control unit further comprises: A data preprocessing module, which uses a median filtering algorithm to filter the data of the sensor detection unit to remove noise; The decision logic module calculates the control signal according to the PID control algorithm. Its formula is Where e is the error, K p , K i , K d are the proportional, integral, and differential coefficients respectively.

4. A novel intelligent valve actuator as claimed in claim 3, characterized in that: The preset algorithm can be adjusted to a fuzzy logic control algorithm, whose basic principles and formulas include: Fuzzification of input variables: Mapping continuous variables (such as temperature T, pressure P, differential pressure ΔP, flow rate Q) to fuzzy sets; Fuzzy rule base: establish fuzzy rules of the form "if A and B, then C", where A and B are fuzzy sets of input variables and C is the fuzzy set of output variables; Fuzzy reasoning: Using the Mamdani reasoning method, the membership function of the output variable fuzzy set is calculated. For each rule, the membership function of the output variable is a composite operation of the intersection of the input variable membership function (AND operation) and the union of the membership function of the rule consequence (OR operation); Defuzzification: Convert the fuzzy set of output variables into precise control signals.

5. A novel intelligent valve actuator as claimed in claim 4, characterized in that: The wireless remote transmission unit uses Huffman coding to compress data before data transmission. Its algorithm formula and steps include character frequency statistics: counting the frequency f(x) of each character appearing in the data. i ); Construct a priority queue: According to the frequency f(x i ) Construct a priority queue, with characters with high frequency taking priority; Construct a Huffman tree: Take the two nodes with the lowest frequencies from the priority queue as the left and right child nodes, and create a new node as their parent node. The frequency of the parent node is the sum of the frequencies of the two child nodes. Insert the new node into the priority queue, and repeat this process until there is only one node left in the queue, which is the root node of the Huffman tree. Generate Huffman code: Starting from the root node, the code is 0 when moving to the left child node, and the code is 1 when moving to the right child node. The path of each character from the root node to the leaf node is recorded, which is the Huffman code of the character.

6. A novel intelligent valve actuator as claimed in claim 5, characterized in that: The external control system uses the support vector machine (SVM) algorithm to analyze the received data and predict the system state. The formula is: Where x is the input data, y i is the label of the training sample, a i is the weight of the support vector K(x,x i ) is the kernel function and b is the bias term.

7. A novel intelligent valve actuator as claimed in claim 1, characterized in that: The safety protection module includes over-temperature protection, which uses a threshold judgment algorithm T measured >T threshold The protection is triggered.

8. A novel intelligent valve actuator as claimed in claim 1, characterized in that: The human-computer interaction interface module adopts an adaptive interface layout algorithm, and its formula and steps include: Screen size detection: Get the screen size and resolution of the current device; Layout parameter calculation: Calculate the size, position, spacing and other parameters of interface elements based on screen size and resolution, so that the interface can maintain good visual effects and user experience on different devices.

9. A novel intelligent valve actuator as claimed in claim 1, characterized in that: The self-diagnosis module adopts a fault tree analysis (FTA) algorithm, and its formula and steps include: Construct fault tree: Construct fault tree model according to system structure and function, including top events, intermediate events and basic events; Calculate the probability of occurrence of the top event: Use logic gates (AND gates, OR gates, etc.) to calculate the probability of occurrence of the top event (system failure), the formula is P top =F(P1,P2,...,P n ), where P1, P2, ..., P n is the probability of occurrence of basic events, and F is the logic gate function.

10. A novel intelligent valve actuator as claimed in claim 1, characterized in that: The energy-saving mode of the power management module adopts a low-power wake-up algorithm, and its formula and strategy include: Wake-up condition judgment: Set wake-up conditions based on system activity and user needs, such as time intervals, sensor data changes, etc. Power consumption calculation: calculate the power consumption in different working modes, including sleep mode, wake-up mode, data transmission mode, etc.; Low power strategy: Select the lowest power consumption working mode while meeting system requirements.

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