929results 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 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.

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 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.

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.

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 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 provides a curved-surface conformal wireless passive heat flow sensor and a preparation method thereof, and belongs to the technical field of high-temperature sensors. The heat flow sensor comprises a metal wire, a silicon carbide substrate, a sensitive layer and a thermal resistance layer which are sequentially arranged from bottom to top; the sensitive layer comprises a thermopile, an inductor, a capacitor and a microstrip antenna which adopt an ink direct writing process and are made of metal, one end of the thermopile is connected with the capacitor, and the microstrip antenna and the inductor are connected with the other end of the thermopile; the thermal resistance layer is provided with at least one opening to expose a thermal junction of the thermopile; the metal wire connects the inductor and the capacitor to form a resonant circuit. The whole heat flow sensor is flexible, can be adaptively attached to the surface of a curved part, has the characteristic of high temperature resistance, realizes wireless and passive transmission of heat flow signals, and solves the problems that the lead is difficult to lead and the lead is easy to break in a high-temperature and high-rotation environment.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a central device may transmit a first communication to initiate a first communication event. The central device may transmit a first synchronization message associated with a first peripheral device and a second synchronization message associated with a second peripheral device during a first time resource and a second time resource, respectively, associated with a first communication event. The central device may transmit a second communication to initiate a second communication event. The central device may monitor, during the second communication event, for a first response from the first peripheral device during a third time resource, and for a second response from the second peripheral device during a fourth time resource. Numerous other aspects are described.

The invention belongs to the technical field of cable fault detection, and relates to a distributed distribution network cable joint state monitoring and fault early warning positioning system. The system comprises a partial discharge / temperature measurement sensor module, a receiving host module and a cloud platform module, the partial discharge / temperature measurement sensor module is fixedly arranged at a cable joint and is used for acquiring partial discharge information and temperature at the cable joint and uploading the partial discharge information and temperature to the receiving host module; the receiving host module is connected with the partial discharge / temperature measurement sensor module and uploads the received partial discharge information and temperature to the cloud platform module; and the cloud platform module compares and analyzes the received partial discharge information and temperature with a set threshold value and then pushes the information to operation and maintenance personnel, thereby realizing monitoring of the operation state of the cable intermediate joint and fault early warning and positioning. The system can monitor the temperature, partial discharge and other states of the distributed distribution network cable joint in real time, early warns overheating and insulation aging in time, guides a user to carry out preventive maintenance, and prolongs the service life of equipment.

The invention relates to the technical field of Internet of Things control, in particular to an intelligent control method and system for pile machine monitoring and grout making and feeding linkage, and the method comprises the steps that grout making design parameters are configured in advance, and initial grout making is executed according to the grout making design parameters; the construction pile machine is positioned according to the pile position number, initial-stage slurry feeding is conducted on the positioned construction pile machine, a monitoring host is arranged to conduct real-time construction monitoring on the construction pile machine, and slurry feeding state information is collected; and an Internet of Things control platform is established, unit pile foundation construction is divided into a plurality of grout making and feeding stages according to the designed ash amount, each grout making and feeding stage is used as a monitoring unit, stage grout making of the next grout making and feeding stage is executed according to the grout feeding state information, and the grout feeding speed is synchronously controlled. By means of the system, the problem that in the existing pile foundation construction process, the slurry making and feeding quality is difficult to control accurately can be effectively solved, and automatic data collection, intelligent analysis and dynamic adjustment in the whole slurry making and feeding process are achieved.

Communication enabled circuit breakers and circuit breaker panels are described. Methods associated with such communication enabled circuit breakers and circuit breaker panels are also described. A circuit breaker panel may include a circuit breaker controller and one or more communication enabled circuit breakers. Two-way wireless communication is possible between the circuit breaker controller and the one or more communication enabled circuit breakers.

This invention relates to the field of communication data processing technology and proposes a method for establishing a data transmission link for an ecological monitoring drone. The method comprises: obtaining a sequence of operating parameters for an ecological monitoring drone and calculating the disturbance characteristic coefficients of ecological monitoring message data from a ground user receiving end at different times; obtaining the drone distribution space, calculating the air-ground distance between the ecological monitoring communication drone and the ground user receiving end, calculating the flight distance between the ecological monitoring communication drone and an ecological monitoring communication interfering drone, and calculating the dynamic communication quality parameters of different ecological monitoring drones at different times; calculating the fading loss values ​​of different ecological monitoring drones at different times, and selecting an ecological monitoring communication drone data transmission link based on the fading loss values ​​of the ecological monitoring drones. This method ensures the stability of the communication state of the ecological monitoring drone transmission link.

The application discloses a kind of transformer substation in-station instrument automatic meter reading method and system, it is related to power station inspection technical field, including: meter reading work is completed by transformer substation in-station instrument meter reading software, including automatic meter reading module and meter reading photo analysis module;Automatic meter reading module is used to use mobile terminal and main control room computer to establish network communication, obtains meter reading photo by photographing field instrument to mobile terminal, and is returned to main control room computer, is downloaded and is transmitted to meter reading photo analysis module calculation;Meter reading photo analysis module is used to initialize meter reading photo, position target and calculate the instrument contained in meter reading photo, extract the outline of target, identify the edge coordinates of instrument pointer by contour matching mode, calculate the instrument reading pointed by instrument pointer by looking up black and white boundary in binary image.The application can replace artificial field meter reading, automatically obtain the reading of transformer substation instrument by field photo identification, generates instrument data report.

The invention discloses a visual intelligent electrical loop automatic test system and a test method thereof, and belongs to the technical field of circuit testing, and the system comprises a main control unit, a multipath signal acquisition unit, a broadband impedance spectroscopy analysis unit, an automatic switching circuit unit, a communication unit and a man-machine interaction unit. The multi-path signal acquisition unit is connected with the main control unit and is used for synchronously acquiring voltage and current signals of a ring main unit control loop, a remote signaling loop and a remote measuring loop; the multipath signal acquisition unit comprises a voltage detection unit, a current detection unit and a control loop disconnection detection unit. The broadband impedance spectroscopy analysis technology is applied to loop fault positioning, millimeter-level accurate positioning of faults such as poor contact and short circuit can be achieved, the pain point that problems are difficult to find is fundamentally solved, and for complex faults such as motor stalling, double criteria of a current curve and a rotating speed signal are adopted, so that accurate positioning of the faults is achieved. Misjudgment possibly caused by single current detection is effectively avoided, and the diagnosis result is more reliable.

The present invention proposes a cycling power and status measurement apparatus of a riding device, which includes a sensor assembly disposed on the user's foot, it includes a pressure sensing device and an inertial sensing module configured to collect the user's motion-related data when cycling, a electronic computing device communicatively coupled to the sensor assembly to receive the motion-related data and calculate cycling power according to the motion-related data through executing an algorithm when the user performs the cycling.

The invention relates to the technical field of ocean observation, in particular to an ocean power and biochemical element observation system aiming at different observation requirements, which comprises a submersible specimen body, an intelligent sensing module, a multi-mode communication module, a multi-element observation module and a main control module, the technical problems that an existing observation system is incomplete in communication architecture, lack of intelligent perception, insufficient in multi-element synchronization, low in data transmission reliability and poor in adaptability are solved, and full-water-depth, multi-scene and high-precision ocean power and biochemical element collaborative observation is achieved.

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.

A rodent bait station comprises a housing defining at least one entrance, a bait holding area arranged within the housing for storing a quantity of rodent bait for consumption, and an electronics assembly. The electronics assembly includes a capacitor arranged proximate the bait holding area and having a characteristic capacitance indicative of the quantity of bait in the bait holding area, and a controller for measuring the characteristic capacitance of the capacitor. A processor of the electronics assembly estimates a quantity of bait in the bait holding area according to the measured characteristic capacitance, and transmits via a transmitter a wireless signal indicative of one of the measured characteristic capacitance or the estimated quantity of bait in the bait holding area.

The invention relates to the technical field of soil moisture content monitoring, in particular to a wireless transmission method and system based on soil moisture content evaporation. The system comprises a data acquisition unit, an MCU control unit, a data transmission unit and a data analysis unit, the MCU control unit adopts a hardware module with an STM32L series single-chip microcomputer as a core. The data transmission unit is realized by adopting an NB-IoT wireless communication module, and the data analysis unit is used for acquiring soil moisture information, soil temperature information and soil humidity information and compensating the soil moisture information based on soil temperature data and humidity data. According to the invention, a frequency domain reflection method measurement technology and a low-power-consumption wide-area Internet of Things technology are combined, so that remote accurate monitoring is realized. The binary regression analysis method is adopted to effectively reduce the influence of the temperature on the sensor precision and reduce the sensitivity temperature coefficient. Ultra-low power consumption is realized through STM32L series MCU and a PSM mode of NB-IoT, and the system is suitable for long-term field monitoring.