Pneumatic actuator remote intelligent monitoring system based on Internet of Things

Abstract

The invention discloses a pneumatic actuator remote intelligent monitoring system based on the Internet of Things, and relates to the technical field of actuator control. Traditional, quantum and biosensors are used for data acquisition, adaptive coding is adopted, transmission is combined with quantum encryption and ultra-wideband, quantum machine learning and causal inference are analyzed and applied, and remote control comprises brain-computer, holographic and intelligent agent technologies; naked-eye 3D and AR are used for visualization, system management depends on a block chain and a quantum key, and a self-repairing function is achieved. The advanced technology is creatively applied, data are comprehensively collected, transmission safety is guaranteed, faults are accurately analyzed and predicted, convenient remote control and visual display are achieved, system safety and stability are improved, and efficient operation of the pneumatic actuator is powerfully guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of actuator monitoring systems, and particularly to a remote intelligent monitoring system for pneumatic actuators based on the Internet of Things. Background Art

[0002] As a device widely used in the field of industrial automation, the main function of a pneumatic actuator is to convert the energy of compressed air into mechanical motion, thereby driving the opening and closing of devices such as valves and baffles, and playing a key role in many industries such as petrochemical, electric power, and metallurgy. The traditional monitoring methods for pneumatic actuators have many deficiencies, seriously restricting the high efficiency and stability of industrial production.

[0003] The early monitoring of pneumatic actuators mainly relied on manual inspections. Workers needed to regularly go to the site to check the operating status of the equipment and see if parameters such as pressure and temperature were normal. This method not only consumed a large amount of manpower and time, but also due to the limitation of the inspection cycle, it was difficult to detect potential faults of the equipment in a timely manner. Once a fault occurred, it might lead to production interruption, equipment damage, and even safety accidents, bringing huge economic losses to the enterprise.

[0004] With the development of sensor technology and computer technology, some local monitoring systems based on wired communication gradually emerged. These systems can collect the operating data of pneumatic actuators in real time and perform simple analysis and processing locally. However, the wired communication method has problems such as complex wiring, high cost, and difficult maintenance, and the monitoring range is limited by the length of the cable, making it impossible to achieve remote monitoring and centralized management. In addition, the local monitoring system lacks intelligent analysis capabilities, making it difficult to deeply mine and utilize massive data, unable to accurately predict the fault trend of the equipment, and unable to meet the requirements of modern industry for the efficient operation and intelligent management of equipment.

[0005] In recent years, the rapid development of the Internet of Things technology has provided new ideas and methods for the monitoring of pneumatic actuators. Although some monitoring systems based on the Internet of Things have emerged in the market, these systems still have deficiencies in aspects such as the comprehensiveness of data collection, the security of transmission, the accuracy of analysis, and the intelligence of control. Therefore, developing a remote intelligent monitoring system for pneumatic actuators based on the Internet of Things has important practical significance, which can effectively solve the problems existing in the existing monitoring systems and improve the operating reliability and management efficiency of pneumatic actuators. Summary of the Invention

[0006] A remote intelligent monitoring system for pneumatic actuators based on the Internet of Things proposed by the present invention is to solve the problems mentioned in the above prior art.

[0007] In order to achieve the above object, the present invention adopts the following technical solution: a remote intelligent monitoring system for pneumatic actuators based on the Internet of Things, comprising: Data acquisition module: Based on the traditional pressure, flow, temperature and displacement sensors, quantum sensors are introduced. At the same time, biosensors are used to monitor the changes in the microbial community in the surrounding environment of the actuator. The data collected by the sensor is encoded dynamically according to the data characteristics through adaptive encoding technology; Data transmission module: It adopts the combination of quantum encryption communication and ultra-wideband UWB technology; the encryption formula is based on quantum key distribution (QKD) , where M is the original data, is a quantum encryption operation, C is the encrypted data, and according to the environment type, the system automatically switches to an alternative transmission channel based on terahertz communication; Data analysis module: Use quantum machine learning algorithms to build actuator operation models, combine causal inference technology to mine the causal relationship between data, rather than relying solely on correlation analysis, to accurately predict the cause of failures; introduce new indicators for failure prediction , the formula is Predict failure risks in advance, including To monitor parameter values ​​in real time, is the normal threshold, is the parameter weight, is the strength of causal association between parameters; Remote control module: Through brain-computer interface technology, the operator can remotely control the pneumatic actuator through the neural signals sent by the brain, which are processed by the signal acquisition and analysis equipment. At the same time, by integrating holographic projection technology, the operator can see the holographic stereoscopic image of the pneumatic actuator through the remote terminal to observe the operating status, and perform intuitive operations through gesture interaction technology; Visual display module: It uses naked-eye 3D display and augmented reality fusion technology to present the operating data of the pneumatic actuator; through augmented reality fusion technology, virtual data labels and operation prompt information are superimposed on the real actuator equipment.

[0008] Furthermore, it also includes: System management module: The system security is ensured by using the technology combined with quantum key distribution. The distributed ledger records all system operations and data changes. Each data block contains timestamp and data hash value information. Achieve full traceability, including is the hash value of the ith data block. At the same time, when the system detects a hardware or software failure, it automatically calls the backup module and uses machine learning algorithms to diagnose and repair the problem; Fault Diagnosis Module: By applying an algorithm that combines deep learning and quantum computing, it constructs a fault feature map to match various fault modes with their features, and introduces an index to improve the accuracy of fault diagnosis. , the formula is to optimize the fault diagnosis effect, where is the accuracy of fault diagnosis after adopting the new algorithm, and is the accuracy of the traditional algorithm.

[0009] Energy Consumption Analysis Module: It uses quantum heat conduction analysis technology to calculate the energy loss distribution inside the pneumatic actuator; combines machine learning to predict the energy consumption trend under different working conditions, and uses reinforcement learning algorithm to automatically adjust the operating parameters of the actuator according to real-time energy consumption data and production requirements, and introduces an index of energy consumption reduction rate. , the formula is to quantify the energy-saving effect, where is the energy consumption before optimization, and is the energy consumption after optimization.

[0010] Furthermore, in the data acquisition module, a nano-sensor array is used to monitor the surface of the actuator to obtain physical and chemical change data, and through the sensor data fusion algorithm, combined with quantum state correlation analysis.

[0011] Furthermore, in the data transmission module, a communication relay technology based on quantum entanglement is adopted to achieve data transmission, and by constructing a quantum communication network topology structure, the data transmission path is automatically optimized.

[0012] Furthermore, in the data analysis module, the quantum annealing algorithm is used to perform clustering analysis on the operation data to discover potential faults in the operation mode, and combined with the Bayesian network for reasoning.

[0013] Furthermore, in the remote control module, virtual reality social technology is introduced to achieve collaborative monitoring and operation of the pneumatic actuator in a virtual environment; through spatial perception technology, the operator can feel the relative position and distance from the actuator in the equipment environment.

[0014] Furthermore, in the visualization display module, digital twin technology is used to create a virtual model consistent with the real pneumatic actuator, and the operation status and data are synchronized in real time; through the artificial intelligence-driven automatic annotation technology, explanations and descriptions are provided for the data.

[0015] Furthermore, in the system management module, quantum secure computing technology is used to enable different departments or users to jointly analyze and process data without revealing the original data.

[0016] Furthermore, the entire system realizes quantum adaptive evolution ability. According to the changes in the operating environment and task requirements, it automatically adjusts the system architecture, algorithms, and parameters, and realizes the optimization and upgrade of the system through the quantum genetic algorithm, continuously improving the system performance and adaptability.

[0017] Compared with the existing technologies, the beneficial effects of the present invention are as follows: In terms of data acquisition, quantum sensors and biosensors are innovatively introduced, which can capture weak signals at the microscopic level and environmental microbial changes, providing more comprehensive and accurate data support for the assessment of the equipment operating state. At the same time, the adaptive coding technology improves the data transmission efficiency, ensuring that key information can be transmitted to the monitoring center in a timely and accurate manner.

[0018] The data transmission module combines quantum encryption communication and ultra-wideband technology, as well as terahertz backup channels, ensuring the absolute security and stability of data transmission. Even in complex environments, uninterrupted communication can be achieved. This greatly reduces the risk of data loss and tampering, providing a reliable basis for subsequent data analysis and decision-making.

[0019] The data analysis module uses quantum machine learning and causal inference technologies, which can quickly and accurately extract key features, deeply explore the causal relationships between data, and accurately predict the fault risk in advance. This enables equipment maintenance personnel to take timely measures to avoid the occurrence of faults, reduce equipment downtime, and improve production efficiency.

[0020] The brain-computer interface, holographic projection, and intelligent agent technologies of the remote control module enable operators to remotely control the pneumatic actuator more conveniently and intuitively, and can also quickly respond even in complex working conditions. At the same time, the multi-person collaborative operation function improves work efficiency and the scientific nature of decision-making.

[0021] The naked-eye 3D and AR technologies of the visualization display module enable operators to directly view the equipment operating state without additional equipment, obtain detailed operation prompts, reducing the operation difficulty and error rate. The combination of blockchain and quantum key distribution in the system management module ensures the security of the system and the traceability of data, and the self-repair function improves the reliability and stability of the system. In summary, this system can comprehensively improve the monitoring level and management efficiency of pneumatic actuators, providing a strong guarantee for the safe and efficient operation of industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic block diagram of a remote intelligent monitoring system for a pneumatic actuator based on the Internet of Things proposed by the present invention; Figure 2 It is a schematic block diagram for comparing the prediction accuracies of different fault types of a remote intelligent monitoring system for a pneumatic actuator based on the Internet of Things proposed by the present invention; Figure 3 This is a schematic block diagram comparing the data transmission delays of a remote intelligent monitoring system for pneumatic actuators based on the Internet of Things proposed by the present invention in different industrial environments. Specific implementation manners

[0023] 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. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0024] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by terms such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation of the present invention.

[0025] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality" means two or more, unless otherwise specifically defined. In addition, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations. Next, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0026] Refer to Figures 1 - 3 : Specific implementation manners of a remote intelligent monitoring system for pneumatic actuators based on the Internet of Things I. Overall system architecture This remote intelligent monitoring system for pneumatic actuators based on the Internet of Things mainly consists of a data acquisition module, a data transmission module, a data analysis module, a remote control module, a visualization display module, and a system management module. Each module works in coordination to achieve the remote intelligent monitoring of pneumatic actuators.

[0027] 2. Specific implementation details of each module 1. The data acquisition module installs various types of sensors at key parts of the pneumatic actuator. Traditional pressure, flow, temperature, and displacement sensors monitor basic operating parameters in real time. At the same time, quantum sensors are innovatively introduced, which use the sensitivity of quantum states to perceive quantum fluctuations at the microscopic level of the actuator and can capture early weak fault signals. Biosensors are deployed in the environment surrounding the actuator to indirectly reflect the health of the actuator by monitoring changes in the microbial community. For example, a small leak in the actuator causes a change in the local environment, which will affect the survival status of microorganisms. The data collected by the sensor is processed by adaptive coding technology, and the coding method is dynamically adjusted according to the data characteristics to improve transmission efficiency. For example, low-frequency coding is used for slowly changing temperature data, while high-frequency coding is used for pressure data with large fluctuations.

[0028] 2. The data transmission module uses quantum encryption communication combined with ultra-wideband (UWB) technology for data transmission. Quantum encryption is based on the principle of quantum non-cloning and uses quantum key distribution (QKD) to encrypt data. The formula is: , where M is the original data, is a quantum encryption operation, and C is the encrypted data to ensure data transmission security. UWB technology, with its high bandwidth, low power consumption, and high-precision positioning characteristics, achieves high-speed and stable data transmission and can locate the actuator. In complex environments, the system automatically switches to a backup transmission channel based on terahertz communication to ensure uninterrupted data links.

[0029] 3. The data analysis module uses quantum machine learning algorithms to build an actuator operation model. Quantum neural networks use the superposition and entanglement characteristics of quantum bits to quickly and accurately extract key features in high-dimensional data space, improving the speed and accuracy of model training. Combined with causal inference technology, it deeply explores the causal relationship between data instead of relying solely on correlation analysis. Introducing new indicators for fault prediction , the formula is ,in To monitor parameter values ​​in real time, is the normal threshold, is the parameter weight, It is the strength of causal relationship between parameters, and this indicator can be used to predict failure risks in advance.

[0030] 4. Remote control module With the help of brain-computer interface technology, the neural signals emitted by the operator's brain are processed by the acquisition and analysis equipment to achieve remote control of the actuator. Holographic projection technology allows operators to see the holographic stereoscopic image of the actuator on the remote terminal, observe the operating status in all directions, and operate intuitively through gesture interaction technology. Intelligent agent technology automatically makes reasonable control decisions based on preset rules and real-time data when operators cannot monitor in real time.

[0031] 5. The visualization display module adopts the technology of integrating naked-eye 3D display and augmented reality (AR). The naked-eye 3D technology presents the actuator operation data in an intuitive and three-dimensional form, and different parameters are distinguished and displayed through colors, shapes, and dynamic changes. The AR technology accurately superimposes virtual data labels, operation prompts and other information on the real actuator device, facilitating on-site personnel to quickly obtain information and perform operations.

[0032] 6. The system management module uses the technology that combines blockchain and quantum key distribution to ensure system security. The blockchain distributed ledger records all operations and data changes of the system. Each data block contains information such as a timestamp and a data hash value, and realizes full traceability through the data traceability formula (where is the hash value of the i-th data block). Quantum key distribution provides an unbreakable encryption key for the system to ensure the security of data storage and transmission. The system has a self-repair function. When detecting hardware or software failures, it automatically calls the standby module and uses machine learning algorithms to quickly diagnose and repair problems.

[0033] III. Data Representation of Beneficial Effects Evaluation metrics Performance of traditional system Performance of this system Improvement effect Comprehensiveness of data collection Only basic parameters are collected Microscopic and environmental data are collected Greatly improve data richness Security of data transmission There are certain security risks Absolute security guarantee Significantly enhance security Accuracy of fault prediction Approximately 60% Can reach over 90% Effectively improve prediction accuracy Convenience of remote control The operation is relatively complex Intuitive and convenient Greatly enhance the operation experience System stability Occasional faults require manual maintenance Has self - repair function Significantly improve stability From the actual situation obtained through 50 experimental operations, the performance of this system is significantly improved in all aspects compared with the traditional system.

[0034] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A remote intelligent monitoring system for pneumatic actuators based on the Internet of Things, characterized in that: include: Data acquisition module: Based on the traditional pressure, flow, temperature and displacement sensors, quantum sensors are introduced. At the same time, biosensors are used to monitor the changes in the microbial community in the surrounding environment of the actuator. The data collected by the sensor is encoded dynamically according to the data characteristics through adaptive encoding technology; Data transmission module: It adopts the combination of quantum encryption communication and ultra-wideband UWB technology; the encryption formula is based on quantum key distribution QKD , where M is the original data, is a quantum encryption operation, C is the encrypted data, and according to the environment type, the system automatically switches to an alternative transmission channel based on terahertz communication; Data analysis module: Use quantum machine learning algorithms to build actuator operation models, combine causal inference technology to mine causal relationships between data, and predict the cause of failures; introduce new indicators for failure prediction , the formula is Predict failure risks in advance, including To monitor parameter values ​​in real time, is the normal threshold, is the parameter weight, is the strength of causal association between parameters; Remote control module: Through brain-computer interface technology, the operator can remotely control the pneumatic actuator through the neural signals sent by the brain, which are processed by the signal acquisition and analysis equipment. At the same time, by integrating holographic projection technology, the operator can see the holographic stereoscopic image of the pneumatic actuator through the remote terminal to observe the operating status and operate it through gesture interaction technology; Visual display module: It adopts naked-eye 3D display and augmented reality fusion technology to present the operating data of the pneumatic actuator; through augmented reality fusion technology, virtual data labels and operation prompt information are superimposed on the real actuator equipment.

2. According to the Internet of Things-based pneumatic actuator remote intelligent monitoring system of claim 1, it is characterized in that: Also includes: System management module: The system security is ensured by using the technology combined with quantum key distribution. The distributed ledger records all system operations and data changes. Each data block contains timestamp and data hash value information. Achieve full traceability, including is the hash value of the ith data block. At the same time, when the system detects a hardware or software failure, it automatically calls the backup module and uses machine learning algorithms to diagnose and repair the problem; Fault diagnosis module: Using the algorithm of deep learning and quantum computing, we can match various fault modes and features by building fault feature maps, and introduce indicators to improve the accuracy of fault diagnosis. , the formula is Optimize fault diagnosis effect, including is the fault diagnosis accuracy after adopting the new algorithm, is the accuracy of the traditional algorithm.

3. According to the Internet of Things-based pneumatic actuator remote intelligent monitoring system of claim 1, it is characterized in that: Also includes: Energy consumption analysis module: uses quantum heat conduction analysis technology to calculate the energy loss distribution inside the pneumatic actuator; Combine machine learning to predict energy consumption trends under different working conditions, use reinforcement learning algorithms to automatically adjust the operating parameters of the actuator based on real-time energy consumption data and production needs, and introduce energy consumption reduction rate indicators , the formula is Quantify the energy saving effect, including To optimize the energy consumption before To optimize energy consumption.

4. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 1 is characterized in that: In the data acquisition module, nanosensor arrays are used to monitor the actuator surface to obtain physical and chemical change data, and the sensor data fusion algorithm is combined with quantum state correlation analysis.

5. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 1 is characterized in that: In the data transmission module, communication relay technology based on quantum entanglement is used to realize data transmission, and the data transmission path is automatically optimized by constructing a quantum communication network topology structure.

6. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 1 is characterized in that: In the data analysis module, the quantum annealing algorithm is used to perform cluster analysis on the operating data to discover potential faults in the operating mode, and Bayesian network is used for reasoning.

7. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 1 is characterized in that: In the remote control module, virtual reality social technology is introduced to realize collaborative monitoring and operation of pneumatic actuators in a virtual environment; through spatial perception technology, operators can feel the relative position and distance to the actuator in the equipment environment.

8. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 1 is characterized in that: In the visualization module, digital twin technology is used to create a virtual model that is consistent with the real pneumatic actuator, and the operating status and data are synchronized in real time; automatic labeling technology driven by artificial algorithms is used to provide explanations and descriptions for the data.

9. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 2 is characterized in that: In the system management module, quantum secure computing technology is used to enable different departments or users to jointly analyze and process data without leaking the original data.

10. The remote intelligent monitoring system for pneumatic actuators based on the Internet of Things according to claim 1 is characterized in that: The entire system realizes quantum adaptive evolution capability, automatically adjusts system architecture, algorithms and parameters according to changes in the operating environment and task requirements, optimizes and upgrades the system through quantum genetic algorithms, and continuously improves system performance and adaptability.

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