Self-adaptive multi-dimensional state data monitoring system

Abstract

The invention relates to the technical field of information communication, and discloses a self-adaptive multi-dimensional state data monitoring system, which comprises a remote communication terminal, a dynamic monitoring device, a data processing module and a self-adaptive adjusting module, and is characterized in that the remote communication terminal is connected with the dynamic monitoring device through a wireless communication network; the dynamic monitoring device is used for collecting multi-dimensional state data of a target object in real time and transmitting the state data to the remote communication terminal, the data processing module is used for performing multi-stage analysis and processing on the state data, and the adaptive adjustment module dynamically adjusts working parameters of the monitoring device based on a data processing result. Through the remote communication terminal, the dynamic monitoring device, the data processing module and the self-adaptive adjusting module, the self-adaptive adjusting module dynamically adjusts the working parameters of the monitoring device according to the analysis result, the monitoring accuracy and real-time performance are ensured, and the intelligent level of the device is improved.

Description

Technical Field

[0001] The present invention relates to the field of information communication technology, and in particular to an adaptive multi-dimensional state data monitoring system. Background Art

[0002] With the continuous advancement of modern science and technology, remote communication and real-time monitoring technologies have been widely used in many fields, especially in industrial automation, medical health and environmental monitoring. The combination of these technologies enables people to obtain multi-dimensional status information of target objects remotely and in real time, so as to make scientific and reasonable decisions. This demand has promoted the rapid development of intelligent monitoring systems, which not only need to have powerful data collection capabilities, but also need to have intelligent data processing and adaptive adjustment functions to cope with complex and changing application scenarios.

[0003] At present, there are many remote communication terminals and monitoring devices on the market, which can usually realize real-time transmission of remote data through wireless communication networks. However, most of the existing monitoring systems only have basic data collection and transmission functions, and their data processing capabilities are limited, and they can only complete primary data analysis and processing. Although some systems have introduced artificial intelligence and edge computing technologies, the application of these technologies is still limited to relatively simple scenarios, and it is difficult to achieve in-depth analysis of multi-dimensional status data and adaptive adjustment in complex environments.

[0004] The main problem with the prior art is that the existing monitoring systems are not real-time and intelligent enough in complex environments, especially in terms of data processing and equipment adjustment. Specifically, existing monitoring systems usually lack an intelligent system that can collect multi-dimensional status data in real time, conduct in-depth analysis, and dynamically adjust the equipment working parameters according to the analysis results. This results in the monitoring accuracy and response speed of the equipment being limited in practical applications, and cannot meet the needs of complex and changing environments. In response to this problem, the present invention proposes an adaptive multi-dimensional status data monitoring system, which significantly improves the intelligence level and work efficiency of the equipment through multi-level data analysis and adaptive adjustment functions. Summary of the invention

[0005] In view of the deficiencies of the prior art, the present invention provides an adaptive multi-dimensional status data monitoring system, which solves the problem that the equipment monitoring accuracy and response speed in the existing system are limited and cannot meet the needs of complex and changing environments.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an adaptive multi-dimensional state data monitoring system, including a remote communication terminal, a dynamic monitoring device, a data processing module and an adaptive adjustment module, the remote communication terminal is connected to the dynamic monitoring device through a wireless communication network, the dynamic monitoring device is used to collect multi-dimensional state data of the target object in real time, and transmit the state data to the remote communication terminal, the data processing module is used to perform multi-level analysis and processing on the state data, and the adaptive adjustment module dynamically adjusts the working parameters of the monitoring device based on the data processing results.

[0007] Preferably, the data processing module includes an edge computing unit and a cloud computing unit, the edge computing unit is used to preprocess the preliminary data, and the cloud computing unit is used to perform in-depth analysis and pattern recognition on the preprocessed data.

[0008] Preferably, the dynamic monitoring device includes an environment perception module, a health monitoring module and a position tracking module, the environment perception module is used to collect environmental parameters, the health monitoring module is used to collect physiological parameters of the target object, and the position tracking module is used to collect position information of the target object.

[0009] Preferably, the environmental perception module includes an air quality sensor, a temperature sensor and a humidity sensor, and the health monitoring module includes a heart rate sensor, a blood oxygen sensor and a body temperature sensor.

[0010] Preferably, the remote communication terminal includes an artificial intelligence decision-making system, which generates an optimization control strategy based on the analysis results of the data processing module and implements it through the adaptive adjustment module.

[0011] Preferably, the artificial intelligence decision-making system includes a neural network model and a genetic algorithm, which are used to dynamically optimize the working parameters of the monitoring equipment.

[0012] Preferably, the dynamic monitoring device has a self-repair function, including a fault detection module and a repair execution module, the fault detection module is used to detect equipment faults in real time, and the repair execution module is used to automatically execute a fault repair program.

[0013] Preferably, the remote communication terminal includes a high-precision positioning module, which utilizes a combination of GNSS and an inertial navigation system for precise positioning, and the high-precision positioning module also includes a differential GPS system to improve positioning accuracy.

[0014] Preferably, the energy module of the dynamic monitoring device includes an energy collection system, which performs multi-source energy collection through solar energy, electromagnetic energy and mechanical energy. The energy collection system includes an intelligent energy management unit, which dynamically allocates the collected energy based on environmental conditions and equipment energy consumption.

[0015] Preferably, the remote communication terminal and the dynamic monitoring device both have encrypted communication functions, and the security of data transmission is guaranteed by end-to-end encryption technology. The dynamic monitoring device includes a multi-protocol support module, which is compatible with multiple wireless communication protocols, including Wi-Fi, Bluetooth, Zigbee and LoRa.

[0016] Working principle: It mainly includes remote communication terminal, dynamic monitoring equipment, data processing module and adaptive adjustment module. The core function of the system is to realize the connection between the remote communication terminal and the dynamic monitoring equipment through the wireless communication network, so that the dynamic monitoring equipment can collect the multi-dimensional status data of the target object in real time, including but not limited to environmental parameters, physiological parameters and location information. These data are then transmitted to the remote communication terminal, and then deeply analyzed and processed by the data processing module; the data processing module is divided into an edge computing unit and a cloud computing unit, in which the edge computing unit is responsible for preliminary preprocessing of the data on the device side, such as data cleaning and preliminary analysis, to reduce the network burden and speed up the response speed. The processed data is then transmitted to the cloud computing unit, which uses advanced big data analysis and artificial intelligence technology for in-depth analysis and pattern recognition, thereby realizing multi-level processing and comprehensive analysis of the data; based on these analysis results, the adaptive adjustment module dynamically adjusts the working parameters of the monitoring equipment, optimizes the equipment performance to adapt to changes in the monitoring environment, and ensures the accuracy and real-time nature of data collection. In addition, the system also includes a set of self-repair functions, including a fault detection module and a repair execution module. The fault detection module is responsible for real-time monitoring of the operating status of the equipment. Once any fault is detected, the repair execution module will automatically start the preset fault repair program to quickly restore the equipment to normal operation and ensure the continuity and reliability of the system. In order to improve the positioning accuracy, the remote communication terminal also includes a high-precision positioning module, which combines the global navigation satellite system (GNSS) and the inertial navigation system (INS), supplemented by a differential GPS system, to achieve real-time tracking of the precise location of the equipment. The energy module of the system adopts a multi-source energy collection system, including solar energy, electromagnetic energy and mechanical energy collection, and is equipped with an intelligent energy management unit to dynamically allocate the collected energy according to environmental conditions and equipment energy consumption to optimize energy utilization efficiency. In addition, the security of data transmission is also taken into account in the system design. The remote communication terminal and dynamic monitoring equipment are equipped with end-to-end encrypted communication functions, and the security of data transmission is ensured through the advanced encryption standard (AES) or elliptic curve encryption (ECC). At the same time, the equipment supports a variety of wireless communication protocols including Wi-Fi, Bluetooth, Zigbee and LoRa, which increases the adaptability and flexibility of the system. This makes the system not only suitable for multiple fields such as industrial automation, health monitoring and environmental monitoring, but also capable of providing efficient, reliable and safe monitoring solutions.

[0017] The present invention provides an adaptive multi-dimensional state data monitoring system. It has the following beneficial effects:

[0018] 1. The present invention realizes the real-time collection and transmission of multi-dimensional state data of target objects by including a remote communication terminal, a dynamic monitoring device, a data processing module and an adaptive adjustment module. The data processing module performs multi-level analysis and processing, and the adaptive adjustment module dynamically adjusts the working parameters of the monitoring device according to the analysis results, thereby ensuring the accuracy and real-time performance of the monitoring and improving the intelligence level of the device.

[0019] 2. The data processing module of the present invention includes an edge computing unit and a cloud computing unit. The edge computing unit pre-processes the preliminary data to reduce the burden of the cloud computing unit and improve the data processing efficiency; the cloud computing unit performs in-depth analysis and pattern recognition to provide accurate and comprehensive analysis results.

[0020] 3. The present invention also includes an artificial intelligence decision-making system, which generates an optimization control strategy based on the analysis results of the data processing module and implements it through an adaptive adjustment module, thereby improving the intelligence and automation level of the equipment, reducing manual intervention, and improving work efficiency. The artificial intelligence decision-making system includes a neural network model and a genetic algorithm, which can dynamically optimize the working parameters of the monitoring equipment to keep the equipment in the best state under different working conditions; the dynamic monitoring equipment has a self-repair function, including a fault detection module and a repair execution module, which detects equipment faults in real time and automatically executes fault repair procedures, thereby improving the reliability and maintenance efficiency of the equipment and reducing downtime. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a framework diagram of the present invention;

[0022] Figure 2 It is a flow chart of the dynamic detection device of the present invention;

[0023] Figure 3 It is a flow chart of the data processing module of the present invention;

[0024] Figure 4 A flow chart of a remote communication terminal of the present invention;

[0025] Figure 5 This is a flow chart of the environment perception module of the present invention;

[0026] Figure 6 This is a flow chart of the high-precision positioning module of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Embodiment 1:

[0029] Please refer to the attached Figure 1 - Attachment Figure 6 An embodiment of the present invention provides an adaptive multi-dimensional state data monitoring system, including a remote communication terminal, a dynamic monitoring device, a data processing module and an adaptive adjustment module. The remote communication terminal is connected to the dynamic monitoring device through a wireless communication network. The dynamic monitoring device is used to collect multi-dimensional state data of the target object in real time and transmit the state data to the remote communication terminal. The data processing module is used to perform multi-level analysis and processing on the state data. The adaptive adjustment module dynamically adjusts the working parameters of the monitoring device based on the data processing results.

[0030] Real-time multi-dimensional data collection and transmission: It realizes the real-time collection and transmission of multi-dimensional state data of target objects. The data processing module performs multi-level analysis and processing, and the adaptive adjustment module dynamically adjusts the working parameters of the monitoring equipment according to the analysis results, ensuring the accuracy and real-time performance of monitoring and improving the intelligence level of the equipment;

[0031] The data processing module includes an edge computing unit and a cloud computing unit. The edge computing unit preprocesses the preliminary data, such as data cleaning and preliminary analysis, to reduce the transmission and computing burden. The preprocessed data is then transmitted to the cloud computing unit for in-depth analysis and pattern recognition. The cloud computing unit uses big data analysis and artificial intelligence technology to perform multi-level processing and comprehensive analysis on the data to generate analysis results.

[0032] The data processing module includes an edge computing unit and a cloud computing unit. The edge computing unit is used to preprocess preliminary data, and the cloud computing unit is used to perform in-depth analysis and pattern recognition on the preprocessed data.

[0033] In one embodiment, the remote communication terminal includes an artificial intelligence decision-making system that generates an optimization control strategy based on the analysis results of the data processing module. The decision-making system includes a neural network model and a genetic algorithm, which can dynamically optimize the working parameters of the monitoring equipment. The generated control strategy is implemented through an adaptive adjustment module to adjust the working parameters of the dynamic monitoring equipment in real time to adapt to the current monitoring environment and status; the dynamic monitoring equipment also has a self-repair function, including a fault detection module and a repair execution module. The fault detection module monitors the operating status of the equipment in real time. Once a fault is detected, the repair execution module immediately executes a preset fault repair program to automatically repair the equipment fault and ensure the normal operation of the equipment.

[0034] The dynamic monitoring device includes an environmental perception module, a health monitoring module and a position tracking module. The environmental perception module is used to collect environmental parameters, the health monitoring module is used to collect physiological parameters of the target object, and the position tracking module is used to collect the position information of the target object.

[0035] In one embodiment, the remote communication terminal includes an artificial intelligence decision-making system that generates an optimization control strategy based on the analysis results of the data processing module. The decision-making system includes a neural network model and a genetic algorithm, which can dynamically optimize the working parameters of the monitoring equipment. The generated control strategy is implemented through an adaptive adjustment module to adjust the working parameters of the dynamic monitoring equipment in real time to adapt to the current monitoring environment and status; the dynamic monitoring equipment also has a self-repair function, including a fault detection module and a repair execution module. The fault detection module monitors the operating status of the equipment in real time. Once a fault is detected, the repair execution module immediately executes a preset fault repair program to automatically repair the equipment fault and ensure the normal operation of the equipment.

[0036] The environmental perception module includes air quality sensors, temperature sensors and humidity sensors; the health monitoring module includes heart rate sensors, blood oxygen sensors and body temperature sensors; the remote communication terminal includes an artificial intelligence decision-making system, which generates an optimization control strategy based on the analysis results of the data processing module and implements it through the adaptive adjustment module.

[0037] In one embodiment, the data processing module receives and integrates data from the environmental perception module and the health monitoring module. The accuracy and reliability of the data are ensured through pre-processing steps such as filtering and denoising. The data processing module uses feature extraction and pattern recognition technology to input the processed data into the artificial intelligence decision-making system.

[0038] The artificial intelligence decision-making system includes a neural network model and a genetic algorithm, which are used to dynamically optimize the working parameters of the monitoring equipment; the dynamic monitoring equipment has a self-repair function, including a fault detection module and a repair execution module. The fault detection module is used to detect equipment faults in real time, and the repair execution module is used to automatically execute the fault repair program.

[0039] Repair execution module:

[0040] Automatically execute fault repair procedures to restore normal operation of the equipment.

[0041] Working principle:

[0042] Fault location: Locate the fault location based on the information provided by the fault detection module.

[0043] Repair strategy: Call the preset repair program to perform repair operations.

[0044] Status verification: Recheck the device status after repair to ensure that the repair is successful.

[0045] Algorithm formula:

[0046] Repair execution steps:

[0047] R(t)=F(x,t)+E(x,t)

[0048] Among them, R(t) is the repair operation, F(x,t) is the fault location function, and E(x,t) is the repair strategy function.

[0049] The remote communication terminal includes a high-precision positioning module, which uses a combination of GNSS and inertial navigation systems for precise positioning. The high-precision positioning module also includes a differential GPS system to improve positioning accuracy; the energy module of the dynamic monitoring equipment includes an energy collection system, which collects multi-source energy through solar energy, electromagnetic energy and mechanical energy. The energy collection system includes an intelligent energy management unit, which dynamically allocates the collected energy based on environmental conditions and equipment energy consumption.

[0050] In one embodiment, the high-precision positioning module:

[0051] The high-precision positioning module combines the global navigation satellite system (GNSS) and the inertial navigation system (INS) for precise positioning. It uses the global positioning data provided by GNSS and the acceleration and angular velocity data provided by INS to achieve high-precision positioning and attitude measurement.

[0052] Working principle:

[0053] GNSS: Calculates the device's geographic location (longitude, latitude, altitude) by receiving signals from multiple navigation satellites.

[0054] I NS: The gyroscope and accelerometer are used to measure the angular velocity and acceleration of the device and calculate the attitude and position changes of the device.

[0055] Data fusion: Kalman filter algorithm is used to fuse GNSS and INS data to improve positioning accuracy and stability.

[0056] Both the remote communication terminal and the dynamic monitoring equipment are equipped with encrypted communication functions, and the security of data transmission is ensured by end-to-end encryption technology. The dynamic monitoring equipment includes a multi-protocol support module and is compatible with multiple wireless communication protocols, including Wi-Fi, Bluetooth, Zigbee and LoRa.

[0057] In one embodiment, encrypted communication function: both the remote communication terminal and the dynamic monitoring device have end-to-end encrypted communication function to ensure that the data is not intercepted or tampered with during the transmission process; working principle: encryption algorithm: use encryption algorithms such as Advanced Encryption Standard (AES) or Elliptic Curve Cryptography (ECC) to encrypt data; key management: use public key infrastructure (PKI) to manage and distribute keys to ensure the security of keys; data encryption: before sending data, use the encryption algorithm to encrypt the data, and the recipient uses the corresponding key to decrypt it.

[0058] Multi-protocol support module: The dynamic monitoring device includes a multi-protocol support module, which is compatible with multiple wireless communication protocols, such as Wi-Fi, Bluetooth, Zigbee and LoRa. Working principle: Protocol switching: The device dynamically switches the communication protocol according to the environment and needs to achieve the best communication effect; Protocol stack: The device has multiple protocol stacks built in, which can seamlessly switch and communicate between different protocols; Data transmission: Stable data transmission is achieved through the corresponding wireless communication protocol.

[0059] Comparative Example 1:

[0060] Serial communication terminal:

[0061] Device: Use the device connection based on RS-232 or RS-485 interface.

[0062] Purpose: Serial communication ports can be used to connect monitoring devices, such as temperature sensors or flow meters, and are suitable for industrial scenarios and laboratory environments.

[0063] Advantages: low cost, suitable for short distance communication.

[0064] Comparative Example 2:

[0065] Ethernet communication terminal:

[0066] Devices: Ethernet-based communication terminals, such as industrial Ethernet switches and routers.

[0067] Application: Ethernet communication terminals are widely used in industrial automation control systems to connect multiple monitoring devices and support high-speed data transmission.

[0068] Advantages: Supports higher data transmission speed and longer communication distance, suitable for applications with large data volume.

[0069] Comparative Example 3:

[0070] MPLS (Multi-Protocol Label Switching) Network Termination:

[0071] Device: A network terminal that uses MPLS technology, which is a data-carrying mechanism that uses short-path labels to determine data forwarding during network data transmission.

[0072] Purpose: MPLS network terminals are used in enterprise-level applications to support large-scale data exchange and efficient network traffic management in data centers.

[0073]

[0074]

[0075] Table 1

[0076] The configuration of Example 1 shows comprehensive advantages in data transmission speed, system stability, data integrity and energy efficiency. In particular, for applications that require real-time monitoring and adjustment of device parameters under dynamic conditions, Example 1 provides a high degree of reliability and security. By comparison, the performance advantage of Example 1 is more obvious in key parameters, confirming its superiority and applicability in real industrial applications.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Adaptive multi-dimensional state data monitoring system, characterized in that: It includes a remote communication terminal, a dynamic monitoring device, a data processing module and an adaptive adjustment module. The remote communication terminal is connected to the dynamic monitoring device via a wireless communication network. The dynamic monitoring device is used to collect multi-dimensional status data of the target object in real time and transmit the status data to the remote communication terminal. The data processing module is used to perform multi-level analysis and processing on the status data. The adaptive adjustment module dynamically adjusts the working parameters of the monitoring device based on the data processing results.

2. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The data processing module includes an edge computing unit and a cloud computing unit. The edge computing unit is used to preprocess preliminary data, and the cloud computing unit is used to perform in-depth analysis and pattern recognition on the preprocessed data.

3. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The dynamic monitoring device includes an environment perception module, a health monitoring module and a position tracking module. The environment perception module is used to collect environmental parameters, the health monitoring module is used to collect physiological parameters of the target object, and the position tracking module is used to collect position information of the target object.

4. The adaptive multi-dimensional state data monitoring system according to claim 3, characterized in that: The environmental sensing module includes an air quality sensor, a temperature sensor and a humidity sensor, and the health monitoring module includes a heart rate sensor, a blood oxygen sensor and a body temperature sensor.

5. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The remote communication terminal includes an artificial intelligence decision-making system, which generates an optimization control strategy based on the analysis results of the data processing module and implements it through the adaptive adjustment module.

6. The adaptive multi-dimensional state data monitoring system according to claim 5, characterized in that: The artificial intelligence decision-making system includes a neural network model and a genetic algorithm, which are used to dynamically optimize the working parameters of the monitoring equipment.

7. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The dynamic monitoring device has a self-repair function, and comprises a fault detection module and a repair execution module. The fault detection module is used to detect device faults in real time, and the repair execution module is used to automatically execute a fault repair program.

8. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The remote communication terminal includes a high-precision positioning module, which uses a combination of GNSS and an inertial navigation system to perform precise positioning. The high-precision positioning module also includes a differential GPS system to improve positioning accuracy.

9. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The energy module of the dynamic monitoring device includes an energy collection system, which collects multi-source energy through solar energy, electromagnetic energy and mechanical energy. The energy collection system includes an intelligent energy management unit, which dynamically allocates the collected energy based on environmental conditions and equipment energy consumption.

10. The adaptive multi-dimensional state data monitoring system according to claim 1, characterized in that: The remote communication terminal and the dynamic monitoring device both have encrypted communication functions, and the security of data transmission is guaranteed by end-to-end encryption technology. The dynamic monitoring device includes a multi-protocol support module, which is compatible with multiple wireless communication protocols, including Wi-Fi, Bluetooth, Zigbee and LoRa.

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