1268results about "Wireless architecture usage" patented technology

The invention discloses a real-time surrounding rock deformation monitoring and data acquisition method and system, which is applied to long-distance weak surrounding rock tunnel construction, and comprises the following steps: determining the dynamic change trend of underground water seepage rate and ground stress distribution gradient by adopting a time sequence analysis method; based on the trend, carrying out risk partitioning on the tunnel construction section by adopting a K-means clustering algorithm, determining a deformation sensitive area, and optimizing the spatial distribution of the monitoring points according to the deformation sensitive area; monitoring data are acquired in real time, and when the data fluctuation period exceeds a threshold value, the data acquisition frequency of the corresponding monitoring point is automatically improved; processing high-frequency acquired data by adopting a long-short-term memory network to obtain a real-time surrounding rock deformation prediction result; the prediction result and the multi-source real-time geological parameters are fused, a Bayesian updating method is adopted for processing, a quantitative surrounding rock stability evaluation result is obtained, closed-loop self-adaptive optimization of a monitoring scheme and accurate risk prediction are achieved, and the safety early warning capacity of tunnel construction and the utilization efficiency of monitoring resources are remarkably improved.

The invention discloses a multichannel electrophysiological signal acquisition system and an acquisition method thereof, and the multichannel electrophysiological signal acquisition system comprises a power supply module electrically connected with a controller, an analog front-end chipset, a filter module and an analog-to-digital conversion module; the analog front-end chip set is used for acquiring an analog signal and preprocessing the analog signal; the pre-processed analog signal is converted into a digital signal through a filter module and an analog-to-digital conversion module, and the digital signal is transmitted to a controller; the filter module is used for filtering and denoising; the timer module connected with the controller generates a sampling frequency, transmits the sampling frequency to the analog-to-digital conversion module, and provides a time sequence signal for the analog-to-digital conversion module. The invention discloses a multi-channel electrophysiological signal acquisition system, which solves the problem of synchronous sampling time sequence control of a high-density electrode array and eliminates signal phase deviation caused by clock jitter among multiple channels under the constraint of maintaining the total power consumption of the system. And real-time power frequency interference suppression is realized.

The invention discloses a deep foundation pit excavation deformation real-time monitoring system based on relative measurement. The deep foundation pit excavation deformation real-time monitoring system comprises a relative measurement sensor group, a data acquisition and preprocessing module, a wireless data transmission module, a cloud data processing and analysis module, an intelligent risk assessment module, a visual alarm module and a solar power supply and energy storage management module. The relative measurement sensor group collects deformation data of the deep foundation pit, the data acquisition and preprocessing module performs primary processing on the data, the wireless data transmission module stably transmits the data to the cloud, the cloud data processing and analysis module performs deformation prediction, and the intelligent risk assessment module performs risk grading. The visual alarm module gives an alarm in real time and carries out emergency notification according to different risk levels, and the solar power supply and energy storage management module guarantees continuous operation of the system. The system solves the problems of measurement precision, data transmission, risk assessment, power supply stability and the like of an existing monitoring system, provides powerful support for safe construction of the deep foundation pit, and has remarkable benefits.

The invention discloses an intelligent monitoring and early warning method for gas concentration of an ultra-thin coal seam, and belongs to the technical field of gas monitoring. The method comprises the following steps: transmitting gas data to a ground platform in real time by using a 5G technology through monitoring devices and worker portable equipment which are arranged in each underground area; constructing an underground three-dimensional model by combining infrared remote sensing and a visualization technology, dividing a working area and generating a gas concentration stereogram; a width learning neural network optimized by an SCSO algorithm is adopted to predict concentration change, and a dynamic early warning system is established in combination with weighted optimization analysis of regional ventilation capacity; and finally, a regional standard exceeding alarm is sent to a monitoring device and personnel equipment through 5G communication, so that accurate positioning early warning is realized. According to the method, multi-dimensional data modeling and an intelligent algorithm are fused, and the real-time performance and accuracy of gas monitoring of the ultra-thin coal seam are improved.

The invention relates to the technical field of intelligent equipment management, in particular to an intelligent protective glasses equipment management method and system based on a cloud platform. The method comprises the following steps: monitoring corresponding dial scanning data, gas monitoring data and equipment external environment data in real time through a corresponding sensor built in intelligent protective glasses equipment, and uploading the data to a cloud platform; acquiring an equipment dial plate scanning use frequency, and performing dial plate scanning fault analysis and gas reading abnormity evaluation to obtain an equipment dial plate scanning fault probability and an equipment gas reading abnormity index; and carrying out equipment intelligent management analysis on the intelligent protective glasses equipment based on the equipment dial scanning fault probability and the equipment gas reading abnormal index so as to generate a cloud platform equipment abnormity maintenance management plan corresponding to the intelligent protective glasses equipment. According to the invention, comprehensive equipment state monitoring and accurate maintenance management work can be provided for the intelligent protective glasses, so that the use performance and user experience of the intelligent protective glasses can be improved.

The invention discloses a high-temperature wireless temperature probe based on NTC lead time division multiplexing and a manufacturing method, and relates to the technical field of wireless temperature probes, and the high-temperature wireless temperature probe comprises a needle tube assembly, a ceramic insulating ring and a coaxial coupling connecting shaft which are connected in sequence; a PCBA board is arranged in the needle tube assembly, and an environment temperature sensor lead and a time division multiplexing circuit are integrated on the PCBA board and selectively connected with the radio frequency receiving and transmitting circuit or the RC charging and discharging temperature measuring circuit. At least two temperature sensors; the ceramic insulating ring is arranged at the joint part of the needle tube assembly and the coaxial coupling connecting shaft, and an inner cavity forms a closed cavity; the coaxial coupling connection shaft comprises a metal outer wall which forms a radio frequency signal ground and a metal inner conductor which forms a coaxial transmission structure with an environment temperature sensor lead. According to the high-temperature wireless temperature probe, mutual interference between the radio frequency function and the temperature sensing function of the wireless temperature probe is effectively eliminated, and the high-temperature wireless temperature probe with high-precision temperature measurement performance is provided.

The invention relates to the technical field of safe flight of unmanned aerial vehicles, in particular to an air-ground multi-mode bird monitoring and early warning method and system for guaranteeing low-altitude safety, and the method comprises the steps: obtaining radar, visual, infrared and other multi-sensor data, and determining a first bird recognition probability, a second bird recognition probability and a third bird recognition probability through the data; and determining a final bird recognition probability based on the basic weight matrix, when the final bird recognition probability is greater than a preset threshold value, obtaining a relative distance and an included angle between the unmanned aerial vehicle and the bird, and establishing a multi-stage early warning mechanism according to the relative distance and the included angle to perform bird early warning. According to the invention, the contradiction between load limitation of small and medium-sized unmanned aerial vehicles and wide-area monitoring requirements is solved, all-weather, all-weather, all-direction, non-blind-area, all-route and real-time bird monitoring, recognition and tracking under a complex urban environment are realized, the real-time monitoring accuracy of birds is improved, early warning is performed in combination with distance and included angle information, and the real-time monitoring accuracy of the birds is improved. The collision between the unmanned aerial vehicle and birds can be more accurately and effectively avoided, and the low-altitude flight safety is guaranteed.

The invention relates to the technical field of construction intelligent monitoring, in particular to a building construction remote intelligent monitoring system based on 5G telephone communication and edge computing. Comprising an on-site sensing unit; the edge processing unit is used for realizing accurate integration of heterogeneous data through an improved self-adaptive weighted fusion algorithm and generating a real-time control strategy in combination with a working condition dynamic model; the 5G communication unit is combined with predictive slice scheduling and a multi-mode anti-interference protocol; and a remote monitoring unit. The industrial-grade sensor array is adopted to collect related data, a monitoring data stream with a timestamp and marked with an abnormal identifier is generated, meanwhile, an edge processing unit complements abnormal data through a data preprocessing module, heterogeneous data integration is achieved through an improved self-adaptive weighted fusion algorithm, and the data processing efficiency is improved. According to the method, the problems that the data processing architecture and the construction multi-source data characteristics are insufficient in adaptation and data validity tracing is missing are effectively solved, and effective tracing and accurate integration of the construction scene multi-dimensional monitoring data are achieved.

Disclosed is a method of gathering data from a hybrid RFID chip to determine usage of an item or article of clothing using a mobile device like a phone, laptop, or tablet. The hybrid RFID chip consists of a processor, a memory, a radio transceiver, a power harvesting antenna, and an impedance circuit that converts ambient radio frequency (RF) energy to electrical energy. The RFID chip receives a first power level from ambient RF energy and periodically broadcasts an identity. The mobile device can receive the broadcast identity, store the identity, transmit the identity and location to a remote server, and receive a notification message from the remote server. The remote serve can determine usage of the item or article of clothing by comparing current records to previous records of RFID chip identity, location, and mobile device application identity.

The invention discloses an intelligent temperature control system of an aluminum alloy plate punch forming die, which relates to the field of aluminum alloy plate processing and comprises a temperature acquisition module, a data transmission module, an analysis processing module, a control decision module and a heating and cooling execution module. Various sensors and self-adaptive layout are used for temperature acquisition, so that data accuracy is guaranteed; data transmission is combined with multiple technologies and block chain authentication to ensure stability; analyzing and processing introduced quantum neural network and causal analysis mining features; the control decision is combined with multiple algorithms and multiple parameters are considered, so that intelligent decision making is realized; a novel device and a phase-change material are adopted for heating and cooling, and the temperature is accurately controlled by combining an advanced control strategy. According to the invention, accurate temperature acquisition, multi-technology guarantee data transmission and quantum calculation are realized to improve the analysis decision ability, and accurate temperature control is realized by the novel device and the control strategy; the die state can be monitored, faults can be diagnosed, stamping quality and efficiency are improved, the service life of the die is prolonged, and cost is reduced.

To suppress the transmission failure of battery monitoring information.SOLUTION: A battery management system includes three or more monitoring devices 30 and a control device 40. The battery management system wirelessly communicates according to a communication path from the control device to the control device via each monitoring device in order. The control device transmits a request signal to request transmission of battery monitoring information to a receiving device, which is one of the monitoring devices. The control device receives the battery monitoring information of all the monitoring devices from a transmitting device, which is one of the monitoring devices and different from the receiving device. A far device, which is a monitoring device different from the receiving device and the transmitting device and located farthest from the control device among all the monitoring devices, receives the request signal via the receiving device and transmits the battery monitoring information responding to the received request signal to the control device via the transmission device.SELECTED DRAWING: Figure 6

The invention discloses a sensor-based agricultural information data acquisition system and method, and belongs to the technical field of agricultural information acquisition. Multi-type sensor nodes are arranged in an agricultural target area in a heterogeneous manner; the method comprises the following steps: constructing a multi-dimensional influence factor model according to crop growth stages and environmental historical fluctuation data, dividing initial sensing sub-regions, and configuring a sensor cluster; dynamically updating the sensing boundary based on the historical change rate and the spatial gradient information; fusing the heterogeneous data by adopting a multi-channel time synchronization mechanism to generate a standardized environment vector set W; calculating a sampling priority matrix according to a parameter change trend in the W, and adaptively adjusting a node state; integrating an energy consumption estimation model, and executing low-power-consumption scheduling; when any parameter exceeds the threshold, high-density sampling and remote early warning are triggered; according to the method, high-precision, low-power-consumption and dynamic-response data acquisition and intelligent early warning can be realized, and the efficiency and reliability of an agricultural sensing system are improved.

The invention relates to the technical field of water treatment, and discloses a remote monitoring operation and maintenance system and method for water treatment equipment, and the system comprises a hypersensitive composite sensor matrix module, an intelligent edge collector module, a hybrid ad hoc network transmission module, a collaborative data processing center module, a cloud fusion computing platform module and a strategy generation module. By implementing the system and the method, water quality parameters, equipment operation pressure parameters and vibration signal parameters are collected in all directions, intelligent operation and maintenance management of water treatment equipment is realized, and stable operation and efficient treatment capacity of a wastewater treatment system are effectively guaranteed. The problems of how to accurately monitor the water quality change and the equipment operation state and how to carry out deep analysis and effective utilization based on data such as water quality, energy consumption and equipment operation are solved, so that the treatment process is optimized, and the energy consumption is reduced.

The invention relates to the technical field of Internet of Things communication, in particular to an Internet of Things intelligent water meter ad hoc network communication method based on parameter dynamic evaluation, which comprises the following steps: acquiring a state beacon packet; calculating a comprehensive score of each neighbor node according to the NB-IoT signal quality parameter, the Bluetooth link quality parameter, the remaining power percentage and the historical relay task times; judging whether the comprehensive score exceeds a threshold value or not according to the comprehensive score, if the comprehensive score exceeds a first threshold value, selecting a target node, establishing Bluetooth GATT connection, transmitting the water meter data to the target node, uploading the water meter data to a cloud server in batches in a preset low-power-consumption time window, and if the comprehensive score is lower than the first threshold value but higher than a second threshold value, transmitting the water meter data to the cloud server; and if so, starting a limited flooding broadcast mechanism. Therefore, the problems that in the prior art, power consumption is high, replacement cost is high, operation and maintenance are inconvenient, cost is increased by depending on a fixed relay, no load balance exists, and manpower is increased by on-site reading are solved.

A remote operation system of a work machine includes a remote operation device that generates an operation signal for remotely operating the work machine, an operation command transmission unit that transmits an operation command based on the operation signal, and an operation control unit that controls the work machine such that a first operation speed indicating an operation speed of the work machine when communication between the work machine and the remote operation device is established is slower than a second operation speed indicating a predetermined operation speed associated in advance with an operation amount of the remote operation device.

The invention relates to the technical field of electric energy meters, in particular to an intelligent electric energy meter with a power saving function. A communication module; the power supply module generates power according to the temperature difference between the surface temperature of the electric energy meter chip and the air temperature in the electric energy meter so as to provide electric energy for the communication module; and the control module is used for respectively adjusting the monitoring sampling mode of the detection module from a low-frequency sampling mode to a low-frequency full-frequency composite sampling mode according to the fluctuation ratio of the electrical load, and adjusting the data transmission mode of the communication module from a periodic transmission mode to an encrypted transmission mode based on the power generation voltage ripple of the power supply module. The signal transmission frequency band of the communication module is adjusted to be a low frequency band; wherein the alternating transmission frequency of single transmission of the periodic transmission mode is determined according to the average power generation voltage of the power supply module. The working stability of the electric energy meter is improved.

The invention relates to the technical field of communication data processing, and provides an unmanned aerial vehicle data transmission link construction method for ecological monitoring, and the method comprises the steps: obtaining an ecological monitoring unmanned aerial vehicle operation parameter sequence, and calculating disturbance feature coefficients of ecological monitoring message data of a ground user receiving end at different moments; obtaining an unmanned aerial vehicle distribution space, calculating an air-ground space distance between the ecological monitoring communication unmanned aerial vehicle and a ground user receiving end, calculating a flight space distance between the ecological monitoring communication unmanned aerial vehicle and the ecological monitoring communication interference unmanned aerial vehicle, and calculating dynamic communication quality parameters of different ecological monitoring unmanned aerial vehicles at different moments; and calculating fading loss values of different ecological monitoring unmanned aerial vehicles at different moments, and selecting an ecological monitoring communication unmanned aerial vehicle data transmission link according to the fading loss values of the ecological monitoring unmanned aerial vehicles. The stability of the communication state of the transmission link of the ecological monitoring unmanned aerial vehicle is ensured.

A method of assessing a feature on a patient's skin surface includes capturing (i) an image of the patient's skin surface with a camera of a portable capture device and (ii) range information with an auxiliary range measurement device that is attached to the portable capture device. Based on the range information, a single range value can be determined between the capture device and the patient's skin surface. In some embodiments, a scale can be associated with the image based on the single range value.

The invention provides a structural engineering bearing capacity field detection method, and belongs to the technical field of structural engineering detection.The structural engineering bearing capacity field detection method comprises the steps that a multi-axial acceleration sensor and a strain gauge array are installed on the surface of a to-be-detected structural member, and an intelligent loading device is adopted to apply incremental loads; a mobile data acquisition terminal is utilized to acquire vibration response data and strain response data in real time, modal parameters are extracted based on a frequency domain analysis method to establish a load-modal parameter relation curve, the bearing capacity of a component is analyzed and calculated, a graph theory shortest path algorithm is adopted to optimize load transmission path analysis, and the load transmission path analysis is optimized. The bearing performance of the component is accurately evaluated through the structural response prediction model based on the Transform architecture, the technical integration of multi-dimensional detection data fusion, intelligent loading control, quantitative bearing capacity evaluation and accurate performance prediction is realized, and the technical problem of insufficient detection precision of the bearing capacity of the structural component is solved.

The invention discloses an online monitoring method and system for an overhead line system tower, and relates to the field of transmission systems of measured values, in the method, when the 4G signal intensity of an area where the overhead line system tower is located is larger than a preset area signal intensity threshold value, a 4G communication module is started to transmit inclination angle data of the overhead line system tower to a monitoring center; when the 4G signal intensity is not greater than a preset area signal intensity threshold value, starting a satellite communication module to transmit the inclination angle data to a monitoring center; when it is detected that the inclination angle data is larger than a preset inclination angle threshold value, historical inclination angle data of the overhead line system tower are obtained; calculating a tilt change trend based on the historical tilt angle data; and determining an early warning level according to the inclination change trend, and sending early warning information corresponding to the early warning level to a corresponding terminal. According to the invention, reliable real-time monitoring and timely early warning of the overhead line system tower under various communication conditions are realized through a 4G and satellite communication dual-module switching transmission mechanism in combination with inclination data trend analysis and graded early warning.

The invention discloses a building performance monitoring system based on BIM and Internet of Things technology, and relates to the field of building performance monitoring, comprising: a BIM model construction and integration module creating and integrating a building BIM model; the Internet of Things sensor deployment module deploys a sensor; the data acquisition and transmission module acquires and transmits data; the data processing and analyzing module processes and analyzes the data; the building performance evaluation and early warning module performs evaluation and early warning; and the user interaction and visualization module realizes interaction and visualization. And each module has corresponding technologies, such as IFC format integration and low-power consumption sensor, so that the performance is improved. The building performance can be effectively monitored, the BIM model is integrated, comprehensive monitoring, intelligent analysis, accurate evaluation and early warning are achieved, interaction visualization is convenient and fast, safe and comfortable operation of the building is guaranteed, and management and maintenance are convenient.

The invention discloses an intelligent baby crib monitoring system based on wireless transmission, and relates to the technical field of baby physiological monitoring, which comprises the following steps: dynamically distributing node communication time slots through wireless networking, adjusting the inclination angle of a laser array, activating a dual-band metamaterial antenna, synchronously collecting light intensity fluctuation signals and electrocardiosignals, and generating a mixed signal flow; carrying out physiological feature extraction on the mixed signal by adopting adaptive filtering and noise conjoint analysis, and generating a clean breathing waveform and an electrocardio waveform through wavelet decomposition and dynamic threshold suppression; respiration and heart rate abnormity is identified based on zero cross point detection and R wave energy verification, and a transmission priority is determined in combination with chaotic key generation and a Markov decision model. Through multi-band collaborative networking and dynamic time slot allocation, hardware-level synchronous acquisition of light intensity fluctuation signals and electrocardiosignals is realized, and signal synchronization errors are controlled in combination with metamaterial antenna dual-channel noise capture and differential common-mode rejection.

The present invention discloses a surface covering device comprising a tile, a base assembly, a plurality of tile connectors located between the tile and the base assembly for releasably connecting the tile to the base assembly, at least one capacitive sensor located on the tile, wherein the capacitive sensor is configured to detect changes in capacitive data indicative of the presence of activity within a predetermined range of the capacitive sensor; an infrared sensor configured to receive infrared data; a capacitive controller communicatively coupled to an infrared controller configured for receiving the capacitive data and the infrared data from the capacitive sensor and infrared sensor respectively; a mesh controller configured to receive the capacitive data and the infrared data from the capacitive controller and infrared controller respectively, and a wireless transceiver in data communication with the capacitive controller and the infrared controller, wherein the wireless transceiver is configured to transmit the capacitive data and the infrared data to a data analysis server, wherein the data analysis server is configured to determine an event based on the capacitive data and the infrared data.

The invention relates to a vibration and state monitoring system and monitoring method based on a friction nanometer generator. The vibration and state monitoring system comprises a shell, a vibrator assembly, a power generation unit, an energy storage unit, a vibration and state monitoring unit and a signal processing and transmitting unit, the power generation unit comprises two pairs of power generation friction layers and two power generation electrode layers, the two power generation electrode layers are located between the two pairs of power generation friction layers respectively, one pair of power generation friction layers are arranged on the left side of the vibrator assembly, and the other pair of power generation friction layers are arranged on the lower side of the vibrator assembly; the vibration and state monitoring unit comprises two pairs of vibration and state monitoring friction layers and two vibration and state monitoring electrode layers, and the two vibration and state monitoring electrode layers are located between the two pairs of vibration and state monitoring friction layers respectively. The friction nanometer generator designed by the invention combines the functions of energy collection and vibration and state monitoring, stably supplies power to the capacitor and the wireless transmission module, and realizes the monitoring of a mechanical interface state which is difficult to detect by a traditional sensor.

A system for providing a customized guest experience to a specific guest during a group experience being provided to one or more guests including the specific guest. The system comprising an interactive gaming system for engaging the guest across two or more locationally distinct guest experiences, at least one of which being the group experience, a guest tracking system for determining a final seating or otherwise distinct location being occupied by the specific guest during the receiving of the group experience, where the guest wears or carries wireless tracking means sensed by the guest tracking system. The system further comprises one or more apparatus for providing the customized guest experience to the specific guest while the specific guest is substantially occupying the specific distinct location of the group location, where the customized guest experience is based at least in part upon the specific distinct location.

Methods and apparatus, including computer program products, are provided for remote monitoring. In some example implementations, there is provided a method. The method may include receiving, at a remote monitor, a notification message representative of an event detected, by a server, from analyte sensor data obtained from a receiver monitoring an analyte state of a host; presenting, at the remote monitor, the notification message to activate the remote monitor, wherein the remote monitor is configured by the server to receive the notification message to augment the receiver monitoring of the analyte state of the host; accessing, by the remote monitor, the server, in response to the presenting of the notification message; and receiving, in response to the accessing, information including at least the analyte sensor data. Related systems, methods, and articles of manufacture are also disclosed.

The invention discloses a water supply control system based on an Internet of Things water meter and a management platform thereof, and relates to the field of water supply system adjustment, and the system comprises an Internet of Things water meter module, a multi-sensor module, a data processing module, a transmission fusion module and cloud equipment. The NB-IoT module and the LoRa module are subjected to data distribution through the transmission fusion module, the reliability and the real-time performance of data transmission of the water meter of the Internet of Things are improved, and the preprocessing module is used for conducting denoising, data repairing and other processing on all data subsets in the NB-IoT module in the initial stage; a proper compression algorithm is matched through a dynamic compression module according to intervals of data subsets, a dynamic distribution transmission module constructs a distribution model of multi-data subset optimization transmission, and for simultaneous transmission of a large number of Internet of Things water meter data, it is guaranteed that transmission of multiple Internet of Things water meters is rapid and synchronous, and the transmission efficiency is improved. And rapid and accurate judgment and effective management of the system on fault problems are improved.

The invention relates to the technical field of wireless communication, in particular to a wireless communication DT U system for electricity meter acquisition, which comprises a DTU and a data concentrator, and is characterized in that the DTU acquires electricity meter data from an electricity meter terminal through an RS-485 interface; the data concentrator is used for receiving electric meter data acquired by the wireless DTU; the periodic automatic polling module generates an initial task queue according to a Poisson distribution random scheduling algorithm, sends a request to the ammeter terminal according to the time of the task queue through an RS-485 interface and receives response data; and the communication link scheduling module is used for evaluating the communication state of the DTU and the concentrator in real time based on a digital twin model, selecting an optimal scheduling channel by using a multi-target optimization algorithm, confirming the availability of a target channel through a link verification mechanism, completing switching and updating storage. According to the invention, the efficiency and the accuracy of ammeter data acquisition are improved, and the communication stability and the operation safety of the system are greatly improved.

A connected hockey training system that records and generates digital displays of the position and parameters of a smart hockey puck. The system is also configured to providing training programs about which the smart hockey puck is used to track progress of those training tasks and generate a score or other statistical parameters related thereto, such as feedback on stickhandling and shooting performance.

The invention belongs to the technical field of gas density meters, and particularly relates to an SF6 gas wireless remote transmission density meter based on the Internet of Things, which comprises a dial plate, a density cavity, a connecting pipe, a gas pipe and a density wireless transmission system, a rotating shaft is fixed to the front side of the first gear, the outer side of the rotating shaft is sleeved with a sleeve, the sleeve is fixedly installed on the inner wall of the dial plate, a volute spiral spring is arranged in the sleeve, and the rotating shaft and the sleeve are connected through the volute spiral spring; the density cavity is connected to the lower portion of the dial plate through the connecting pipe and communicated with the dial plate, the gas pipe is connected to the lower portion of the density cavity and connected with an external SF6 circuit breaker pipeline, a pressure plate is arranged on the inner wall of the density cavity, and the outer side of the pressure plate is sleeved with a sealing ring. And the monitoring precision is poor.