Wireless passive self-powered ubiquitous intelligent sensing system based on vibration energy harvesting

Abstract

This invention proposes a wireless, passive, self-powered ubiquitous intelligent sensing system based on vibration energy harvesting. This system converts rail train vibration energy into electrical energy, enabling self-powering of sensors and communication units. It also integrates multimodal sensing and wireless data transmission, eliminating the need for external power supply and complex wiring. Without increasing operating costs or maintenance burdens, this system can accurately monitor the train's operating status and the performance of key components in real time. It offers advantages such as flexible deployment, high energy utilization, rich sensory information, low cost, and high reliability. This provides solid support for the technological upgrade of rail transit trains from limited to generalized sensing, and from single to multimodal sensing.

Description

Technical Field

[0001] The present invention mainly relates to the intersection of rail transit and the Internet of Things, and mainly includes technologies such as energy collection, status monitoring, wireless communication and data processing. Background Art

[0002] With the rapid development of the Internet of Things (IoT) technology, various sensors are being widely used in various fields, including industry, agriculture, healthcare, and environmental protection. While passenger trains are now fully electrified, deploying sensors in key components such as bearings remains challenging when building intelligent PHM systems. Traditional wired sensors often rely on power cables, which not only limits their deployment locations but also incurs high installation and maintenance costs. Sensor applications are particularly constrained in harsh environments where wiring is inconvenient. Furthermore, with the deepening implementation of my country's energy conservation and emission reduction policies, green and low-carbon lifestyles are becoming mainstream. Traditional wired sensors have limited energy consumption and cannot meet current societal demands for energy conservation and consumption reduction. Therefore, developing a self-sufficient sensor that can wirelessly transmit data is crucial for advancing sensor technology in my country.

[0003] Wireless, passively self-powered sensing devices are highly competitive in the market. Many countries have achieved research results in wireless, passively self-powered sensor technology and are gradually applying it to production. While my country has achieved world-leading results in wireless communications and microelectronics, its wireless, passively self-powered sensor technology lags behind. To narrow the gap with international advanced technologies and enhance the overall competitiveness of my country's sensor industry, the development of wireless, passively self-powered sensors is imperative.

[0004] Wireless, passive, self-powered ubiquitous intelligent sensing systems typically utilize environmental energy (such as light, heat, vibration, and electromagnetic energy) or backscattering technology to harvest energy. These systems utilize ultra-low-power devices for data acquisition, signal processing, and wireless transmission, enabling the construction of highly distributed, maintenance-free, or even maintenance-free intelligent sensing networks. These systems have broad application prospects in the Internet of Things, wearable devices, smart cities, environmental monitoring, industrial automation, and other fields.

[0005] Although wireless passive self-powered ubiquitous intelligent sensing systems have made significant progress in energy harvesting, management circuits, and sensing technologies, they still face some technical shortcomings and challenges:

[0006] 1. Defects of self-powered technology

[0007] Operating frequency band limitations: The vibration modes of rail train running gear cover a wide frequency spectrum, and the vibration energy is dispersed across a wide frequency band. Existing energy harvesters operate over a narrow frequency band, making efficient energy collection and conversion impossible. Energy sources are limited and unstable: The ambient energy density is low, and light, thermal, and electromagnetic energy fluctuate significantly across different scenarios and time periods, making it impossible to guarantee a continuous and stable energy supply.

[0008] 2. Defects in management circuit technology

[0009] Low energy management efficiency: The existing energy management circuits are inefficient and cannot fully utilize the collected energy. High system complexity: The integration and optimization of multiple energy sources increase system complexity and cost, limiting its large-scale application.

[0010] 3. Defects of wireless sensing technology

[0011] Low communication reliability: Low-power wireless communication protocols have unstable communication quality in complex environments, making it difficult to ensure reliable data transmission. Limited data processing capabilities: Edge computing capabilities are limited and difficult to handle complex tasks. Summary of the Invention

[0012] In order to solve the above technical problems, especially the demand for multi-physical quantity perception of the train service status and the problem of limited sensor deployment in the actual vehicle environment, the present invention proposes a wireless passive self-powered ubiquitous intelligent perception system based on vibration energy harvesting. By converting the vibration energy of the rail train into electrical energy, the self-powered sensors and communication units are realized, and the multi-modal perception and wireless data transmission functions are integrated, eliminating the restrictions of external power supply and complex wiring. Without increasing the operating costs and maintenance burden, the system can perform real-time and accurate monitoring of the operating status of the train and the performance of key components. It has the advantages of flexible layout, high energy utilization, rich perception information, low cost and high reliability, and provides solid support for the technical upgrade of rail transit trains from limited perception to generalized perception, and from single perception to multi-modal perception. The present invention specifically adopts the following technical solutions:

[0013] A wireless passive self-powered ubiquitous intelligent perception system based on vibration energy collection, the system includes a wireless passive ubiquitous perception node and an edge data processing device; the wireless passive ubiquitous perception node includes a vibration energy collector, an energy management circuit and a multimodal wireless sensor; the vibration energy collector is used to convert the vibration energy generated by the key service equipment of the rail train during operation into electrical energy; the energy management circuit includes a rectification, voltage regulation and energy storage functional module, which is used to rectify and stabilize the electrical energy output by the vibration energy collector, and store the collected electrical energy in a battery or supercapacitor to continuously provide a suitable and stable power supply for the multimodal wireless perception module; the multimodal wireless perception module includes a state perception module and a wireless data sending module, wherein the state perception module monitors the dynamic characteristics and working status of the key service equipment of the rail train under different operating conditions in real time, extracts a variety of physical quantity information that can reflect the health and operation safety of the equipment, and the wireless data sending module The various status data collected by the status perception module are sent wirelessly to the edge data processing device, and its own working parameters can be remotely adjusted according to the upper instructions; the edge data processing device includes a wireless data receiving module, an intelligent monitoring and analysis module and a cloud interaction module, which is used to comprehensively process and analyze multi-source data from wireless passive ubiquitous perception nodes and interact with the cloud server; the wireless data receiving module is responsible for receiving the positioning data and stability monitoring data uploaded by each wireless passive ubiquitous perception node, and pre-processing, verifying and analyzing them; the intelligent monitoring and analysis module uses data mining and machine learning intelligent algorithms to perform fusion analysis on stability and positioning data to achieve fault diagnosis, life prediction and operation safety assessment; the cloud interaction module uploads the original data and the results of analysis and processing to the cloud server, and remotely configures, updates firmware and optimizes policies for the perception nodes according to the instructions issued by the cloud, thereby improving the maintainability and intelligence level of the system.

[0014] Preferably, the vibration energy collector is used to convert vibration energy into electrical energy, and comprises a top cover, a bottom cover, a sleeve, a magnet, a spring, and a coil;

[0015] The sleeve is a round tube with a smooth inner wall, and is made of non-magnetic material. The top cover and the bottom cover are respectively provided at the upper and lower ends of the sleeve.

[0016] The spring comprises a first spring and a second spring, and the first spring and the second spring are respectively provided with an air outlet;

[0017] The magnets include two fixed magnets and one moving magnet. The two fixed magnets are fixed inside the top cover and the bottom cover respectively. The fixed magnets are permanent magnets with smooth surfaces. The moving magnet is located in the middle of the inner cavity of the sleeve and between the first spring and the second spring, and can move in both directions between the two springs.

[0018] The first spring is above the moving magnet and its upper end is fixed to the lower end surface of the top cover. The second spring is below the moving magnet and its lower end is fixed to the upper end surface of the bottom cover.

[0019] Preferably, the energy management circuit includes a rectifier, a power management core circuit, and an energy storage device;

[0020] The rectifier is arranged behind the vibration energy harvester, and converts the alternating current output by the energy harvesting module into direct current, and the converted direct current is collected and output to the step-down processor of the power management core circuit;

[0021] The power management core circuit is used to optimize energy collection, storage and distribution. Its functions include adjusting the input after energy collection to maximize energy collection efficiency, managing the energy storage process to extend the life of the energy storage battery, and dynamically adjusting energy distribution to meet system needs;

[0022] The energy storage device accumulates the collected electrical energy and supplies power to the multimodal wireless sensing module through the power management core circuit;

[0023] The multimodal wireless sensing module includes a multimodal sensor, a core processor and a wireless communication unit;

[0024] The multimodal sensor is used to obtain operating data of key service equipment of rail trains, and the parameters of the operating data include vibration acceleration, temperature, and angular velocity;

[0025] The core processor is a low-power single-chip microcomputer that controls multimodal sensing data, transmits the data to the wireless data transceiver module after pre-processing, and can control the wireless data transmission and reception;

[0026] The wireless communication unit includes Bluetooth, Zigbee, lora, 4G and NB-IO.

[0027] Preferably, the edge data processing device includes a wireless sensor receiving module, an intelligent monitoring and analysis module, and a cloud-edge switching module. The wireless sensor receiving module sends the wireless data to the intelligent monitoring and analysis module to pre-process the data, and finally uploads the data to the cloud through the cloud-edge switching module to realize in-depth analysis of the cloud data.

[0028] The present invention has the following beneficial effects:

[0029] First, multi-physical quantity sensing and status monitoring. Using integrated wireless sensors and multimodal sensing technology, we can achieve real-time monitoring of multiple key environmental and status parameters of key train equipment, including vibration, temperature, and humidity. This provides a more comprehensive and detailed health status assessment and avoids potential safety hazards caused by faults.

[0030] Second, passive self-powering and long-term endurance. Vibration energy harvesting devices efficiently convert vibration energy generated during train operation into electrical energy, providing continuous power supply for sensors and communication modules. No external power supply or regular battery replacement is required, achieving truly "plug-and-play" and "maintenance-free" self-powered monitoring.

[0031] Third, flexible deployment and low cost. The combination of wireless connectivity and self-powered operation eliminates traditional wiring and external power supplies, simplifying sensor installation and commissioning. Whether for new vehicles or retrofitting existing lines and trains, rapid and flexible deployment allows for significantly reduced overall system costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is the structural diagram of the wireless passive self-powered ubiquitous intelligent sensing system.

[0033] Figure 2 This is a schematic diagram of a wireless passive self-powered ubiquitous sensing node.

[0034] Figure 3 It is a structural diagram of a bistable electromagnetic energy harvester.

[0035] Figure 4 This is the logic block diagram of the energy management module.

[0036] Figure 5 This is a schematic diagram of a multimodal wireless sensing module.

[0037] Figure 6 This is a schematic diagram of edge data processing equipment.

[0038] Figure 7 This is the frequency sweep result of the electromagnetic vibration energy harvester.

[0039] Figure 8 This is a graph showing the voltage change and three-axis acceleration measurement of the energy storage device in the wireless passive self-powered ubiquitous sensing node.

[0040] Figure 9 This is a diagram of data reception and analysis by edge data processing equipment. DETAILED DESCRIPTION

[0041] like Figure 1As shown, the present invention proposes a wireless passive self-powered ubiquitous intelligent sensing system, which mainly consists of the following two parts: a wireless passive ubiquitous sensing node and an edge data processing device.

[0042] The wireless, passive, self-powered ubiquitous sensing node consists of a vibration energy harvester, an energy management circuit, and a multimodal wireless sensor. The vibration energy harvester converts the vibration energy generated by critical rail train equipment into electrical energy. Through a rational structural design, it effectively captures multi-band vibrations, providing a stable power supply for subsequent functional modules. The energy management circuit, including rectification, voltage regulation, and energy storage modules, rectifies and stabilizes the electrical energy output by the vibration energy harvester and stores the collected energy in a battery or supercapacitor to continuously provide a suitable and stable power supply for the multimodal wireless sensing module. The multimodal wireless sensing module includes a state sensing module and a wireless data transmission module. The state sensing module monitors the dynamic characteristics and operating status of critical rail train equipment in real time under different operating conditions, extracting various physical quantities that reflect equipment health and operational safety. The wireless data transmission module wirelessly transmits the status data collected by the state sensing module to edge data processing equipment and can remotely adjust its operating parameters based on host commands. The number of wireless, passive, self-powered ubiquitous sensing nodes can be deployed according to actual needs.

[0043] Edge data processing equipment: Consisting of a wireless data receiving module, an intelligent monitoring and analysis module, and a cloud interaction module, its main function is to comprehensively process and analyze multi-source data from wireless passive ubiquitous sensing nodes and interact with cloud servers. The wireless data receiving module is responsible for receiving the positioning data and stability monitoring data uploaded by each wireless passive ubiquitous sensing node, and pre-processing, verifying, and analyzing them. The intelligent monitoring and analysis module uses intelligent algorithms such as data mining and machine learning to perform a fusion analysis of stability and positioning data, achieving more accurate fault diagnosis, life prediction, and operational safety assessment. The cloud interaction module uploads the raw data and the results of analysis and processing to the cloud server, and performs remote configuration, firmware updates, and policy optimization operations on the sensing nodes according to the instructions issued by the cloud, further improving the maintainability and intelligence level of the system.

[0044] The wireless passive self-powered ubiquitous intelligent sensing system proposed in the present invention includes wireless passive self-powered ubiquitous sensing nodes and edge data processing equipment, which are described in detail below.

[0045] 1. Wireless passive self-powered ubiquitous sensing nodes

[0046] Wireless passive self-powered ubiquitous sensing nodes such as Figure 2As shown, the vibration energy harvester is used as the energy source, the energy management module is used to manage the energy, and the multimodal wireless sensing module is powered to complete the state acquisition and data transmission of the monitored object.

[0047] (1) Vibration energy harvester

[0048] The vibration energy harvester in the present invention includes electromagnetic, piezoelectric, triboelectric, electrostatic and other devices that can convert vibration energy into electrical energy. Here, the electromagnetic vibration energy harvester is taken as an example, such as Figure 3 The figure shows the structure of a bistable electromagnetic vibration energy collector, which includes a top cover, a bottom cover, a sleeve, a magnet, a spring, a coil and other parts.

[0049] a) Sleeve: The sleeve in the present invention is a round tube with a smooth inner wall, and is provided with air outlet holes at the positions of the first spring and the second spring, such as Figure 3 The sleeve container is made of non-magnetic materials such as acrylic, PC, POM, ABS, nylon, or metals such as aluminum, aluminum alloy, and copper. The container dimensions (inner diameter, outer diameter, and length) can be customized based on the actual application scenario.

[0050] b) Top cover and bottom cover: The top cover and bottom cover are located at the outer end of the sleeve outer gasket, and fixed magnets at both ends are fixed inside.

[0051] c) Magnets: The magnets in the present invention are permanent magnets (neodymium magnets) with smooth surfaces, a total of 3 pieces, such as Figure 3 As shown. Fixed magnets 1 and 2 are arranged at the upper and lower ends of the sleeve container. The moving magnet is located in the middle of the inner cavity of the sleeve. The moving magnet is located between the first spring and the second spring, and can move in both directions between the two springs to form two stable positions. The magnet can be a cylindrical magnet or a spherical magnet. The magnetic arrangement of the three magnets is arranged according to the mutual attraction between adjacent magnets. The specific dimensions (diameter, thickness) of the three magnets can be designed and determined according to the actual application scenario.

[0052] d) Spring: The spring in the present invention adopts ordinary coil spring, a total of 2, such as Figure 3 As shown in the figure, the first spring is located above the moving magnet, with its upper end fixed to the lower end of magnet 1. The second spring is located below the moving magnet, with its lower end fixed to the upper end of magnet 2. The springs are made of non-magnetic metals such as copper or copper alloys, or new piezoelectric materials. Parameters such as the spring wire diameter and number of coils can be designed and adjusted based on the required elastic modulus for different application scenarios.

[0053] e) Coil: The coil in the present invention is a copper wire winding, which is wound around the outside of the container, a total of 2, such as Figure 3The two coils can be connected in series or in parallel. The coil wire diameter and number of turns can be designed and adjusted based on the actual needs and size limitations of different application scenarios.

[0054] (2) Energy management circuit

[0055] The output of the vibration energy harvester is rectified by the rectifier and then directly collected and transmitted to the power management core circuit. After passing through the step-down processor, energy storage battery, and DC-DC processor, it is output to the electrical appliance. The management logic block diagram of the energy management circuit is as follows: Figure 4 shown.

[0056] a) Rectifier: The present invention configures a rectifier after the vibration energy harvester, which converts the alternating current output by the energy harvesting module into direct current. The converted direct current is then collected and output to the step-down processor of the power management core circuit.

[0057] b) Power Management Core Circuitry: This core circuitry optimizes energy collection, storage, and distribution, ensuring efficient and stable system operation. Key functions include adjusting the energy input after harvesting to maximize collection efficiency, managing the energy storage process to extend the life of the storage battery, and dynamically adjusting energy distribution to meet varying system requirements. Furthermore, it optimizes energy conversion efficiency and manages loads to adapt to changes in energy supply.

[0058] c) Energy Storage Device: The energy storage device of the present invention accumulates the collected electrical energy and can power the multimodal wireless sensing module through the power management core circuit. This device can be a component that can be used for energy storage, such as a capacitor or a battery.

[0059] (3) Multimodal wireless sensing module

[0060] The electrical appliance module of the present invention is as follows Figure 5 As shown, it mainly consists of a multimodal sensor, a core processor and a wireless communication unit.

[0061] a) Multimodal sensor: The multimodal sensor of the present invention mainly obtains the operating conditions of key service equipment of rail trains, including but not limited to vibration acceleration, temperature, angular velocity, etc.

[0062] b) Core processor: The core processor of the present invention is a low-power single-chip microcomputer that controls multimodal sensing data, transmits the data to the wireless data transceiver module after pre-processing, and can control the wireless data transmission and reception.

[0063] c) Wireless communication unit: The wireless communication unit of the present invention includes but is not limited to Bluetooth, Zigbee, LoRa, 4G and NB-IOT technologies to achieve low-power wireless data transmission and reception.

[0064] 2. Edge data processing equipment

[0065] Edge data processing devices such as Figure 6 As shown, it consists of a wireless sensor receiving module, an intelligent monitoring and analysis module, and a cloud-edge switching module. The wireless sensor receiving module receives wireless data and sends it to the intelligent monitoring and analysis module for data preprocessing. Finally, the cloud-edge switching module is used to upload the data to the cloud to achieve in-depth analysis of cloud data.

[0066] (1) Wireless sensor receiving module

[0067] The wireless sensor receiving module of the present invention is used to receive wireless data from external sensors and transmit the data to the intelligent monitoring and analysis module for further processing.

[0068] (2) Intelligent monitoring and analysis module

[0069] The intelligent monitoring and analysis module of the present invention is a high-performance embedded processor that performs real-time preprocessing and analysis on the data transmitted by the wireless sensor receiving module, extracts key information and generates preliminary analysis results.

[0070] (3) Cloud-edge switching module

[0071] The cloud-edge exchange module of the present invention supports multiple communication protocols (such as MQTT, HTTP, WebSocket, etc.), uploads the data processed by the intelligent monitoring and analysis module to the cloud, and realizes in-depth analysis and storage of cloud data.

[0072] 3. Operation mode of wireless passive self-powered ubiquitous intelligent sensing system

[0073] The wireless passively self-powered ubiquitous sensing nodes in the wireless passively self-powered ubiquitous intelligent sensing system capture energy from mechanical vibrations in the environment through a vibration energy harvesting module. This energy is then transferred to the energy management module for storage and distribution, ensuring stable power supply to all system modules. The multimodal wireless sensing module collects various environmental data, such as vibration acceleration, temperature, and angular velocity. This data is then wirelessly transmitted to edge data processing equipment.

[0074] After receiving the data, the wireless data receiving module of the edge data processing device transmits it to the intelligent monitoring and analysis module for preprocessing and analysis, extracting key information and generating preliminary analysis results. After local processing, the data is uploaded to the cloud server through the cloud interaction module for in-depth analysis and storage. The cloud server comprehensively processes the data, generates visual reports and warning information, and feeds it back to users or related systems via the network, enabling remote monitoring and intelligent decision support. The entire system, from energy collection, data acquisition, transmission, local processing, to cloud analysis, forms a complete closed-loop operation logic.

[0075] 4. Examples and Effects

[0076] In order to verify the implementation effect of the wireless passive self-powered ubiquitous intelligent sensing system proposed in the present invention, an implementation verification was carried out.

[0077] Regarding the implementation effect of wireless passive self-powered ubiquitous sensing nodes, the demonstration process uses the electromagnetic vibration energy harvester mentioned in the present invention, such as Figure 7 As shown, the output voltage curve of the collector under forward and reverse frequency sweep excitation in the frequency band range of 5-55Hz. Under the excitation amplitude of about 2g, the forward frequency sweep output voltage range is 10-44V, the working frequency band range is 9-44Hz, and the reverse frequency sweep output voltage is 10-27V, and the working frequency band range is 8-30Hz.

[0078] The overall node implementation effect is shown as follows Figure 8 As shown, a capacitor is used as an energy storage device for testing, Bluetooth is used for data transmission, and the measured physical quantity is three-axis acceleration.

[0079] According to the implementation effect of edge data processing equipment, the data receiving and analysis interface is displayed, such as Figure 9 This implementation demonstrates the acquisition of vertical vibration data and the analysis of unilateral frequency spectrum.

Claims

1. A wireless passive self-powered ubiquitous intelligent sensing system based on vibration energy harvesting, characterized in that: The system includes wireless passive ubiquitous sensing nodes and edge data processing equipment; The wireless passive ubiquitous sensing node includes a vibration energy harvester, an energy management circuit and a multimodal wireless sensing module; The vibration energy collector is used to convert the vibration energy generated by key service equipment of rail trains during operation into electrical energy; The energy management circuit includes functional modules for rectification, voltage regulation and energy storage, which are used to rectify and stabilize the electrical energy output by the vibration energy harvester and store the collected electrical energy in a battery or supercapacitor to continuously provide a stable power supply for the multimodal wireless sensing module. The multimodal wireless sensing module includes a state sensing module and a wireless data transmission module. The state sensing module monitors the dynamic characteristics and working status of key railway train service equipment under different operating conditions in real time, extracting a variety of physical quantity information that can reflect the health and operational safety of the equipment. The wireless data transmission module wirelessly transmits the various state data collected by the state sensing module to the edge data processing device and remotely adjusts its own operating parameters according to the upper-level instructions. The edge data processing device includes a wireless data receiving module, an intelligent monitoring and analysis module, and a cloud interaction module, which is used to comprehensively process and analyze multi-source data from wireless passive ubiquitous sensing nodes and interact with cloud servers; The wireless data receiving module is responsible for receiving the positioning data and stability monitoring data uploaded by each wireless passive ubiquitous sensing node, and performing pre-processing, verification, and analysis on them. The intelligent monitoring and analysis module uses data mining and machine learning intelligent algorithms to perform integrated analysis of stability and positioning data to achieve fault diagnosis, life prediction, and operational safety assessment. The cloud interaction module uploads the raw data and the results of analysis and processing to the cloud server, and remotely configures the sensing nodes, updates firmware, and optimizes policies based on the instructions issued by the cloud, thereby improving the maintainability and intelligence level of the system. The vibration energy collector is used to convert vibration energy into electrical energy, and includes a top cover, a bottom cover, a sleeve, a magnet, a spring, and a coil; The sleeve is a round tube with a smooth inner wall, and is made of non-magnetic material. The top cover and the bottom cover are respectively provided at the upper and lower ends of the sleeve. The spring comprises a first spring and a second spring, and the first spring and the second spring are respectively provided with an air outlet; The magnets include two fixed magnets and one moving magnet. The two fixed magnets are fixed inside the top cover and the bottom cover respectively. The fixed magnets are permanent magnets with smooth surfaces. The moving magnet is located in the middle of the inner cavity of the sleeve and between the first spring and the second spring, and can move in both directions between the two springs. The first spring is above the moving magnet and its upper end is fixed to the lower end surface of the top cover, and the second spring is below the moving magnet and its lower end is fixed to the upper end surface of the bottom cover; The energy management circuit includes a rectifier, a power management core circuit, and an energy storage device; The rectifier is arranged behind the vibration energy harvester, and converts the alternating current output by the energy harvesting module into direct current, and the converted direct current is collected and output to the step-down processor of the power management core circuit; The power management core circuit is used to optimize energy collection, storage and distribution. Its functions include adjusting the input after energy collection to maximize energy collection efficiency, managing the energy storage process to extend the life of the energy storage battery, and dynamically adjusting energy distribution to meet system needs; The energy storage device accumulates the collected electrical energy and supplies power to the multimodal wireless sensing module through the power management core circuit; The multimodal wireless sensing module includes a multimodal sensor, a core processor and a wireless communication unit; The multimodal sensor is used to obtain operating data of key service equipment of rail trains, and the parameters of the operating data include vibration acceleration, temperature, and angular velocity; The core processor is a low-power single-chip microcomputer that controls multimodal sensing data, transmits the data to the wireless data transceiver module after pre-processing, and controls the wireless data transmission and reception; The wireless communication unit includes Bluetooth, Zigbee, lora, 4G and NB-IOT.

2. A wireless passive self-powered ubiquitous intelligent sensing system based on vibration energy harvesting according to claim 1, characterized in that: The edge data processing device includes a wireless sensor receiving module, an intelligent monitoring and analysis module, and a cloud-edge switching module. The wireless sensor receiving module sends wireless data to the intelligent monitoring and analysis module for data pre-processing, and finally uploads the data to the cloud through the cloud interaction module to realize in-depth analysis of cloud data.

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