806 results about "Line sensor" patented technology

The invention relates to the technical field of risk prediction, in particular to a wireless sensor-based high-altitude operation online monitoring and early warning system and a wireless sensor-based high-altitude operation online monitoring and early warning method. The method comprises the following steps: deploying multiple types of wireless sensor arrays for the aerial work platform to collect structural stress data, environment temperature and humidity and personnel state data, and constructing a multi-source standard data set; performing space-time alignment on the multi-source standard data set to generate a synchronized high-altitude data set; constructing a three-dimensional feature space by using the synchronized high-altitude data set, and generating a high-altitude operation fusion feature matrix; generating a high-altitude operation risk prediction model based on the high-altitude operation fusion feature matrix; therefore, through fusion of multi-source data, alignment of spatial-temporal characteristics, dynamic simulation of risk evolution and construction of a multi-level response mechanism, the risk prediction precision and real-time response capability in high-altitude operation are improved, and a comprehensive, systematic and efficient safety management and control system is finally formed.

The invention discloses a gradient optimization control method for an aeration system of a sewage plant. The gradient optimization control method comprises the following steps: S1, acquiring key monitoring multi-source data of the aeration system of the sewage plant in real time through an online sensor; s2, setting a security threshold value of each monitoring data to form a security constraint condition; s3, taking unit nitrogen removal energy consumption minimization as an optimization target, and constructing a comprehensive loss function fusing an energy consumption item and a water quality deviation item; s4, iteratively updating the air volume of the aeration system by adopting a self-adaptive gradient algorithm; s5, the optimized and updated air volume is issued to the aeration equipment to be executed, and water quality data and energy consumption data after execution are collected in real time, a control effect is calculated, an award signal is generated, and the award signal serves as feedback to be input into an optimization module; and S6, dynamically adjusting key parameters including the learning rate and the gradient threshold according to a feedback result. According to the invention, the energy consumption can be effectively reduced and the control precision can be improved while ensuring that the effluent stably reaches the standard, and the stable operation of the aeration system of the sewage plant under a complex working condition is ensured.

The invention provides a wireless sensing platform with an edge computing function, and relates to the technical field of wireless sensors. In order to solve the problems that in the prior art, a wireless sensor is large in data redundancy, high in transmission delay and weak in emergency recognition and response capacity in a complex scene, a joint processing mechanism combining a causal event recognition assembly, a causal data fusion assembly, an event separation assembly and a data distribution assembly is adopted. By detecting a causal change event in an environment and dynamically extracting and fusing sensor data with a strong causal relationship, redundant data transmission caused by emergencies is reduced, transmission delay is reduced, the robustness of causal data fusion in a concurrent event scene is improved, and the reliability of data fusion is improved. According to the invention, efficient and accurate sensing and response to emergencies in a complex environment are realized.

The invention relates to an underwater wireless sensor network path sensing routing method based on deep reinforcement learning, which comprises the following steps that: firstly, a node constructs and periodically updates a transmission preference model based on local and neighbor node interaction information; secondly, deploying a deep reinforcement learning model at each underwater sensor node to perform distributed routing strategy learning; and finally, generating a global guide vector by the sink node according to the routing path information of the received data packet, reversely spreading the global guide vector to the source node, fusing the global guide vector with a local transmission preference vector of the node to generate a guide reward, optimizing the deep reinforcement learning model, and updating a routing strategy. According to the method, the problems of difference and complexity of underwater transmission tasks can be solved, and the network data transmission efficiency and the overall service quality are improved in combination with local preference and global guidance while the node online learning is kept to adapt to the dynamic underwater environment.

The invention discloses a regulation and control method for stably improving the water quality of water produced by a reverse osmosis system of a power plant, and relates to the field of water quality regulation and control, which comprises the following steps: configuring a water inlet flow regulation device, performing initial setting, configuring the position of an online sensor, performing data acquisition, setting judgment rules of turbidity, differential pressure and transmembrane pressure difference, and determining the water quality. And configuring a flocculant adding device and adding control logic, configuring a backwashing and adding linkage control state machine, and carrying out data smoothing, trend analysis and self-adaptive threshold adjustment. When the water quality of the raw water fluctuates for a short time or the pollution load is increased, dynamically adjusting the water inlet flow, the backwashing intensity and the flocculant adding concentration based on parameters such as turbidity, pollution index, conductivity and pressure difference which are acquired by an online sensor in real time; and meanwhile, the concentrated water reflux proportion and the high-pressure pump frequency are automatically corrected by continuously calculating the desalting rates of the first-stage and second-stage reverse osmosis devices, so that the running state of the membrane component is kept in an optimal interval.

The embodiment of the invention provides a full-life-cycle slope protection net system which comprises an active protection net system (1), the active protection net system (1) comprises a plurality of fiber grating sensors (14), and the fiber grating sensors (14) are arranged on a first net body (11). The strain information acquisition module is used for acquiring strain information of a first anchor rod (13) and / or strain information of an anchor buckle according to deformation of the first net body (11) and converting the strain information into a first electric signal or a first optical signal; the fiber grating sensor (14) is electrically connected to an edge computing node near the active protective net system (1); and the edge computing node is electrically connected to the cloud platform through the wireless sensor (3). The local stress and deformation information of the protective net can be accurately obtained in real time, and accurate data support is provided for subsequent early warning and regulation.

A pump can include a pump head, a body housing, a motor disposed within the body housing, and a motor shaft extending from the motor. The pump head can include a sensor, at least a first interface portion, and at least a first elongate conductor electrically connecting the sensor to the at least a first interface portion. The body housing can include at least a second interface portion and at least a second elongate conductor electrically connecting the at least a second interface portion to pump electronics. The sensor can be configured to sense when the at least a first interface portion does not contact the at least a second interface portion. When the at least a first interface portion does not contact the at least a second interface portion and the pump head is removed from the body housing, the pump head can be pivotable relative the motor shaft such that an orientation of the pump head can be changed with respect to the body housing.

The invention provides a wireless sensor dynamic voltage regulation method and system based on load current prediction, and relates to the technical field of voltage regulation. According to a load current prediction sequence output by the load current prediction model and response characteristics of output voltage of a direct current-direct current converter in the wireless sensor under different working conditions to the load current, feed-forward compensation amounts of the power supply voltage of the wireless sensor under different working conditions are determined; suppressing the output voltage ripples of the DC-DC converter to obtain the disturbance suppression degree of the output voltage ripples of the DC-DC converter; and performing closed-loop adjustment on the power supply voltage of the wireless sensor through the disturbance suppression degree and all the feedforward compensation amounts to obtain a closed-loop gain coefficient of the power supply voltage, and further generating a voltage adjustment instruction of the wireless sensor according to the closed-loop gain coefficient. According to the invention, the ripple interference of the output voltage of the DC-DC converter can be suppressed in the voltage regulation process of the wireless sensor.

The invention provides a scroll compressor cross ring dynamic strain wireless measuring device, which relates to the technical field of compressor state monitoring and comprises a high-temperature-resistant strain gauge, a wire fixing system and a wireless sensor. Wherein the high-temperature-resistant strain gauges are respectively attached to stress sensitive areas of a static key, a ring beam and a movable key of the cross ring every time; the wire fixing system comprises a three-stage fixing structure formed by an adhesive, an internal wire, an external wire and an internal binding post; the three stages of fixing structures are a strain gauge end fixing structure, a lead transition section fixing structure and a binding post end fixing structure in sequence; the high-temperature-resistant strain gauge is connected with the wireless sensor through an internal wire, a binding post and an external wire, and continuous signal collection is achieved. By implementing operation according to the technical route, the impact load borne by the cross ring at the moment of starting and stopping of the compressor can be collected in a high-quality mode, data collection in a closed cavity is achieved, and an experimental basis is provided for subsequent strength design of the cross ring.

The invention provides a farmland wireless sensor anomaly detection method and system based on an auto-encoder, and relates to the field of sensor anomaly detection, and the method comprises the steps: S1, each intermediate module carries out the transmission pre-processing of the received monitoring data of a plurality of collection modules; s2, regarding the acquisition module, aiming at each monitoring time point, the detection module calculates crop trust data, weather trust data and task trust data corresponding to the monitoring time point; and S3, the detection module generates a trust feature matrix of the acquisition module, inputs the trust feature matrix subjected to normalization processing into the auto-encoder, and quantifies a trust evaluation result of the acquisition module according to a reconstruction error output by the auto-encoder. According to the invention, the abnormal farmland wireless sensor can be accurately detected.

The invention relates to a partial discharge on-line early warning device and method for a 35kV high-voltage switch cabinet, and belongs to the technical field of early warning devices.The partial discharge on-line early warning device comprises an acquisition module, a receiving module and a master station module, and data acquired by the acquisition module is wirelessly transmitted to the receiving module; the receiving module transmits data to the master station module through the RS485 module, the acquisition module comprises a plurality of wireless temperature sensors, a wireless IMD sensor unit and a high-frequency current sensor, and the high-frequency current sensor is electrically connected with the wireless IMD sensor unit. The wireless IMD sensor unit and the high-frequency current sensor are detachably installed in a high-voltage cable bin of the high-voltage switch cabinet. According to the partial discharge on-line early warning device for the 35kV high-voltage switch cabinet, the temperature sensor is arranged to monitor the temperature of the switch cabinet, find out thermal fault hidden dangers in advance, give an alarm and monitor discharge signals of the switch cabinet, so that the reliability of safe operation of the high-voltage switch cabinet is improved.

The invention discloses a house safety monitoring and early warning system based on a wireless sensor, which relates to the technical field of house safety monitoring and is characterized in that a plurality of wireless sensor data, door and window state data Sw, smoke concentration Sm, environment temperature St, heat source change amplitude Sr and environment noise intensity Sn are integrated, and a data fusion and analysis technology is utilized to monitor the safety of a house. Various risk factors can be effectively and comprehensively considered, and false alarm and missing alarm caused by a single sensor are reduced. Through comprehensive analysis of multi-dimensional data, the accuracy of house safety monitoring can be improved, it is ensured that the system can still make correct judgment in a complex environment, and the reliability of the early warning system is improved. When the system detects an abnormal event, the risk index fiRfu can be automatically corrected, and it is ensured that the alarm level is matched with the real-time safety condition. Security threats in different situations can be effectively handled, the situation of excessive alarm or alarm missing is avoided, and the high efficiency and usability of the alarm system are ensured.

The invention relates to the technical field of intelligent control, and discloses a special line painting control method and system based on an intelligent algorithm. The method comprises the following steps: collecting painting line sensor data to construct a process digital model; training the depth deterministic strategy gradient network based on the model, and generating a multi-parameter cooperative control instruction; executing the control instruction and generating a feedforward signal through multi-stage comparison of quality data; the feedforward signal and the control instruction are fused, and a real-time control strategy is formed through network correction. According to the method, the problem of digital modeling based on multi-dimensional parameter mapping in special line painting control is solved, and the problem of insufficient precision of painting process multi-parameter cooperative control is overcome. Through an intelligent algorithm of a depth deterministic strategy gradient network and a feedforward control signal fusion mechanism, the problems of lag detection of quality abnormity and insufficient dynamic response in the painting process are effectively solved.

The invention relates to the technical field of flour production line safety supervision, in particular to an intelligent flour production line safety supervision system based on a cloud platform. The system comprises a data acquisition module, a risk assessment module, a decision module and an execution and repair module. The system calculates an instantaneous physical risk by acquiring production line sensor data and an HMI operation log; the core of the method is that trust deficit of an operator is quantified based on an HMI operation log, and the bypass probability of safety interlocking is predicted according to the trust deficit; when the instantaneous physical risk exceeds a preset threshold value, the system executes a final action according to whether the trust deficit exceeds the threshold value or not; according to the method, the operator trust state is evaluated, and the problem of systematicness failure caused by the fact that a traditional system neglects the consideration of human factors and is easily bypassed is solved.

The invention relates to the technical field of anti-interference transmission, in particular to an anti-interference transmission optimization method and system for building structure health monitoring signals. According to the method, a building structure dynamic response signal is collected through a distributed wireless sensor and digital processing is completed; deploying a lightweight imitation learning model at a local control end, performing interference mode identification on a transmission channel of monitoring data, and extracting interference features; generating a self-adaptive anti-interference transmission strategy according to the interference characteristics, and stably transmitting the monitoring data to a central server to realize multi-node data fusion and health state evaluation; and finally, performing parameter updating on the simulation learning model according to a health evaluation result returned by the server, thereby realizing high-reliability anti-interference transmission and self-adaptive optimization of the building monitoring signal. According to the invention, the effective transmission rate and the data perfectness rate of building structure health monitoring signals in a complex interference environment are improved, and the signal transmission reliability and the intelligent level are effectively improved.

A wireless active suspension system with at least one wireless sensor coupled with at least one unsprung mass of a vehicle is disclosed. The system also includes at least one damper comprising an active valve, the damper being part of a vehicle suspension. The system additionally includes, at least one controller, the at least one controller in wireless communication with the at least one wireless sensor and the at least one damper, wherein the at least one controller receives the sensor data from the at least one wireless sensor and communicates an adjustment command to the active valve to modify a damping characteristic of the at least one damper.

The invention relates to a boiler operation parameter optimization method and system for multi-fuel combustion of multiple solid wastes, and the method comprises the following steps: (1) multi-source data collection: obtaining the heat value, the water content, the chlorine-sulfur ratio and the heavy metal content of the solid wastes in real time through a spectrum analyzer, a visual recognition system and an online sensor; (2) intelligent compatibility optimization: calculating a solid waste mixing ratio by adopting a genetic algorithm based on calorific value balance and pollutant inhibition targets, and controlling a Cl / S molar ratio to be 1.2-1.8 and the alkali metal content to be 1t; 50%; (3) pretreatment and drying: the water content gt; and carrying out microwave-steam combined drying on 25% of solid waste, and dynamically adjusting microwave power, steam injection time and the like. The method has the advantages that through the technical integration of multi-source data fusion, intelligent algorithm optimization and digital twinborn verification, a solid waste co-combustion full-process optimization system is constructed, and ultralow emission of pollutants and safe and economical operation are achieved while the energy utilization rate is increased.

The invention discloses a passive wireless sensor power management system for a transformer substation, and relates to the technical field of transformer substation power management, comprising the following steps: acquiring electric energy from an electromagnetic field, a temperature difference or micro vibration in a transformer substation environment, and respectively storing the electric energy in a capacitor and a solid-state battery; the stored electric energy is preprocessed, the remaining electric quantity is collected, and an energy supply and demand prediction model is constructed. According to the invention, the problems of unstable power supply and low energy utilization rate of the passive wireless sensor of the transformer substation in a complex environment are effectively solved, and the capturing efficiency of low-density environment energy is improved; the stability and the service life of energy storage are optimized; according to the method, prospective judgment of the energy supply and demand trend and on-demand distribution of power supply resources are achieved, power supply does not need to depend on a traditional battery, the maintenance cost and the safety risk are reduced, and the overall stability and practicability of the intelligent monitoring system of the transformer substation are improved.

Mechanical metamaterial passive wireless sensors and methods of use thereof are disclosed. An example sensor includes a flexible substrate having multiple extending arms; at least one temperature responsive actuator coupled to the substrate; and an antenna embedded within the substrate and extending along at least a portion of the multiple extending arms, the antenna configured to deform with the substrate. The substrate may be configured to be activated upon exposure of the at least one temperature responsive actuator to an environmental temperature that exceeds a threshold, and further configured to transform into at least one three-dimensional configuration in response to a duration of immersion in a liquid following the activation, the three-dimensional configuration causing a detectable change in electromagnetic signal characteristics of the antenna.

The invention relates to the technical field of power control, and discloses a wireless sensor dynamic voltage regulation method and system based on load current prediction, and the method comprises the steps: carrying out the adaptive sliding window processing of a load current sampling value, and obtaining a load current sequence; constructing a multi-dimensional load feature vector according to statistical distribution features and frequency domain wavelet energy features of a differential sequence in the load current sequence; inputting the multi-dimensional load feature vector into a preset load mode expert rule base, identifying a load change mode and a load current trend, and outputting a deterministic score; matching a corresponding voltage regulation scheme in a pre-stored voltage configuration strategy; generating a control signal according to the voltage regulation scheme and the deterministic score; adjusting the duty ratio of the control signal to obtain an optimized control signal; monitoring an area error integral of an actual load current track and a prediction trend envelope line, and adjusting a feature matching degree threshold value and an overall duty ratio; according to the invention, the dynamic voltage regulation efficiency of the wireless sensor can be improved.

The invention relates to the technical field of electric power material detection, and discloses an intelligent control method and system for a mobile intelligent concrete pole detection platform, and the method comprises the following steps: building a pole defect data set and a detection program data set, the elements in the detection program data sets are detection programs corresponding to defect types, and the elements in each defect data set correspond to the elements in one detection program data set; acquiring defect data of the current electric pole; the wireless sensor module comprises a plurality of Bluetooth terminals, the Bluetooth terminals are in Mesh networking, each Bluetooth terminal independently completes local detection and summarizes the data to the master control module, the Bluetooth Mesh networking terminals summarize the local detection data to the master control module, and the Bluetooth Mesh networking terminals call the corresponding detection program according to the defect data of the current electric pole. And a complete electric pole defect distribution diagram is generated, so that a worker can clearly and quickly observe the defects of the electric pole.

The invention provides a degradable and stretchable wireless sensor with a multilayer circuit and a preparation method of the degradable and stretchable wireless sensor. The wireless sensor comprises an integrated folding structure and a packaging layer, the integrated folding structure comprises a plurality of layers of snakelike wire structures and a plurality of electrode plates; the snakelike wire structure provides inductance, and the electrode plate provides capacitance; the snakelike wire structure is formed by a planar and multi-cycle snakelike wire structure formed by a biodegradable metal and biodegradable polymer composite layer through multiple times of 180-degree twisting and folding, and patterns of the snakelike wire structure are overlapped after folding so as to realize effective series connection of the inductance coils; the electrode plates are bonded with each other through a biodegradable dielectric layer; the snakelike wire structure adopts a neutral axis separation design at the arc section, namely, the wire width is divided into multiple strands. Reliable series connection of multiple layers of coils can be achieved, inductance is effectively increased, high-frequency resistance is reduced, and therefore wireless transmission performance is improved, and meanwhile the requirements for flexibility, stretchability and biodegradability are completely met.

The present invention discloses a real-time dynamic monitoring system for microseismic events based on 5G mobile communications, comprising a data acquisition module for acquiring microseismic signals; a sensor setting module for acquiring an optimal distribution scheme for wireless sensors; a signal conversion module for converting microseismic signals into 5G digital signals; a 5G base station for acquiring the arrival time of the 5G digital signal and transmitting it to an earthquake monitoring station; an earthquake monitoring station for monitoring the location of the earthquake source according to the arrival time; and an early warning module for issuing an early warning when a microseismic event is detected or when a wireless signal sensor fails. The present invention converts traditional microseismic signals into 5G digital signals through 5G communication technology and data signal processing technology, thereby realizing the acquisition of wireless data at the arrival time, speeding up data transmission while saving costs, achieving detection range coverage by planning sensor settings, and realizing identification and early warning of sensor failures.

The utility model relates to the technical field of unmanned aerial vehicles, and discloses a light control device and an unmanned aerial vehicle landing control system, the light control device collects the illumination intensity of a landing two-dimensional code area in real time through a light sensor, and a controller accurately regulates and controls the brightness of a light supplement lamp according to the illumination intensity. It can be ensured that the two-dimensional code landing area is always in a proper illumination condition, and the illumination brightness of the two-dimensional code landing area is ensured. Meanwhile, unnecessary energy waste is avoided through the on-demand adjustment mode, compared with traditional illumination setting with fixed brightness, the energy consumption of the whole light control device is remarkably reduced, and the energy-saving and environment-friendly effects are achieved. Therefore, according to the utility model, the brightness of the light supplement lamp is controlled through the controller and the light sensor, and an engineer does not need to debug the brightness of the light supplement lamp on site, so that the problems of inconvenient deployment and poor environment change adaptability are solved. Meanwhile, only one light sensor needs to be added, the hardware cost is low, and implementation is easy.

A system for synchronizing and spatializing media, comprising client device and server device. A method for operation includes: tracking the real-time spatial coordinates of both devices via wireless sensors; synchronizing media playback using a timestamp-based protocol that compensates for network latency and clock offset; and applying directional audio filters, such as Head-Related Transfer Functions (HRTF), on the client device to render audio appearing to originate from server device's physical location. The method is further characterized by compensating for acoustic propagation and signal processing delays to ensure accurate spatiotemporal alignment. The system may be enhanced by a multimodal Al configured to perform operations such as real-time voice-preserving translation and the generation of synchronized, spatialized haptic feedback based on semantic event markers.

The application discloses a hybrid wave energy collection device, which comprises a spherical shell assembly composed of an upper spherical shell and a lower spherical shell, a wave energy capturing module arranged in the spherical shell assembly and used for capturing multi-directional wave energy and converting the wave energy into mechanical energy, and an energy conversion module used for converting the mechanical energy into electric energy. The wave energy capturing module converts wave motion into relatively straight-line motion and variable-radius swing motion. The wave energy capturing module comprises a moving rod, a top end of which is rotatably connected with an inner wall top end of the upper spherical shell; a support assembly, which comprises an upper support, a lower support and a plurality of connecting supports, a middle part of the upper support is provided with a through hole, a center of the lower support is provided with a mounting hole, and a bottom of the lower support is provided with a connecting rod; a sliding body, which is rotatably connected with the connecting rod, a lower end surface of the sliding body is a spherical surface and is matched with an inner wall of the lower spherical shell; the moving rod passes through the through hole of the upper support of the support assembly and is embedded in the mounting hole of the lower support; and the moving rod is coincident with a central axis of the support assembly. The application has the characteristics of strong working condition adaptability, high recovery efficiency, high power output density, high space position utilization rate and stable electric energy output and can provide power supply for low-power wireless sensors and provide a reliable technical scheme for realizing self-driving of wireless sensing equipment in water areas.

Apparatuses, systems, and methods are described for providing a sensor device. The system includes a control unit and a sensing unit. The sensing unit is coupleable to the control unit via a current loop and includes an input terminal coupleable to the current loop, at least one energy storage unit configured to be charged to a first voltage from the input terminal, a sensing element configured to sense an environmental parameter, wherein the sensing element receives power from the at least one energy storage unit at a second voltage, and wherein the second voltage is lower than the first voltage, a controller configured to receive a sensor signal from the sensing element and to generate an output signal, and an output terminal coupleable to the current loop and configured to transmit output corresponding to the output signal to the control unit via the current loop.

The utility model provides a damping device and a vehicle, and relates to the technical field of vehicle parts, and the damping device mainly comprises a damper, a stay wire connecting ring, a sensor and a stay wire. The shock absorber comprises a shock absorption supporting column base connected with a vehicle body and a shock absorption body which is connected with the shock absorption supporting column base and is in a columnar shape. The damping body can rotate around the axis of the damping body relative to the damping supporting column base. The stay wire connecting ring coaxially sleeves the outer side of part of the damping main body and is close to the damping strut seat; the sensor is fixed on the damping main body and is spaced from the stay wire connecting ring; the stay wire is connected with the stay wire connecting ring and the sensor and is parallel to the axis of the damping main body; the stay wire, the sensor, the stay wire connecting ring and the damping main body are kept relatively static; according to the embodiment provided by the invention, the stay wire is parallel to the axis of the damping main body, so that inaccurate measurement of the sensor caused by skew of the stay wire can be avoided.

The invention relates to the technical field of wireless sensor networks, in particular to a heterogeneous wireless sensor network coverage method for a mountain new energy construction site, which comprises the following steps of: constructing a three-dimensional mountain monitoring area, inputting related parameters and establishing a multi-target optimization model taking the non-coverage rate, the reciprocal of the connectivity rate and the minimum total energy consumption as targets; initializing a dung beetle population, dividing the dung beetle population into four classes, obtaining an initial coverage scheme, and screening a non-dominated coverage scheme solution set for storage; iteratively updating the positions of various types of dung beetles based on a multi-target dung beetle optimization algorithm; the current coverage scheme and the archive set are combined, the archive set is updated after non-dominated sorting, and dense solutions are discarded to guarantee diversity when the scale is over-scale; and outputting a solution set after the maximum number of iterations is reached, and selecting a target scheme to complete node deployment. The method is adaptive to complex mountain scenes, network coverage and communication quality are improved, energy consumption is reduced, local optimum is avoided, and mountain monitoring effects of high coverage, low energy consumption and strong adaptation are achieved.

This utility model discloses a low-power wireless sensor network monitoring device, including a housing, a signal transmitting mechanism, and a vibration monitoring mechanism. A fixed base is fixedly installed at the lower end of the housing, and the signal transmitting mechanism is fixedly installed at the upper end of the housing. The probe moves up and down along the inner wall of the fixed base due to the amplitude of the vibration. During the movement of the fixed base, the magnet at its upper end moves along the trajectory, thereby moving up and down inside the induction coil boss. In this process, electrical energy is generated. At the same time, the vibration monitoring mechanism detects the vibration signal. The electrical energy generated by the triggering mechanism and the vibration signal detected by the vibration monitoring mechanism are both transmitted to the signal transmitting mechanism. The electrical energy is used to wake up the signal transmitting mechanism and enable it to transmit the signal detected by the vibration monitoring mechanism. After the signal is transmitted, the signal transmitting mechanism enters sleep mode again, so that the device only transmits signals when vibration occurs, which greatly reduces the energy consumption of the device and allows the device to monitor for a long time.