21 results about "Sensor networking" patented technology

The invention belongs to the technical field of intelligent soil monitoring, and particularly relates to a multi-sensor networking soil parameter high-precision detection device and method.The device adopts sensing, transmission and data processing, a four-layer architecture is applied, a sensing layer collects soil texture, temperature and salinity parameters, an environment interference factor matrix is constructed, and a data processing layer is constructed; outputting non-interference data through a layered interference calibration model; the transmission layer completes data transmission through wired and wireless dual modes; the data processing layer extracts spatial-temporal characteristics after preprocessing, and obtains a soil parameter fusion value through dynamic weight fusion; and the application layer matches the fusion value with a preset template to realize scene generation and visual rendering. According to the invention, the problems that the precision of the existing multi-sensor networking system is easily influenced by the outside and the intelligent level is insufficient can be solved.

The invention provides an intelligent building fire safety early warning system based on intelligent fire protection, and relates to the field of fire safety, and the system comprises a distributed data collection module which is used for achieving data real-time collection and network disconnection local processing through heterogeneous sensor networking and dual-mode communication; the edge processing module is used for carrying out edge processing on the output standardized environment data flow by adopting a fire behavior triple verification model and a dynamic weight algorithm, and carrying out cross-node model sharing in combination with a federated learning framework so as to obtain a fire risk score and a fire source positioning coordinate; the decision execution module is used for dynamically planning an evacuation path; the feedback module is used for performing real-time rendering fluid dynamics fire spreading simulation on the evacuation path and generating multi-terminal early warning; and the dynamic evacuation optimization module simulates and optimizes the exit position and the path planning through fluid dynamics to obtain the optimized path planning. The method and the device are used for overcoming the defects of cloud processing delay and failure during network disconnection in the prior art.

The invention discloses an air pressure sensor communication control method and system based on PFM pulse frequency modulation, in a multi-sensor networking scene, environmental parameters are converted into analog electric signals through signal conditioning and then mapped into a unique pulse change sequence, and coding optimization is carried out for the matching degree of the pulse sequence and the parameter variable quantity. High-fidelity and low-power-consumption data expression and transmission are realized; anti-interference filtering is implemented through a communication link in combination with a signal transmission protocol, and original parameter data is restored through inverse mapping after the integrity of a pulse sequence is ensured; then, the data of the multi-source sensor is integrated in the main control unit to form a networking parameter data set, abnormal deviation is judged through comparison logic, a control instruction is generated and fed back to a terminal to execute accurate adjustment, a complete link from sensing and optimized transmission to closed-loop regulation and control is formed, and finally high-reliability real-time monitoring and self-adaptive intelligent regulation and control of environmental parameters are achieved.

The invention relates to the technical field of blasting damage testing, in particular to a concrete crushing effect testing method based on a fiber bragg grating measurement method, which comprises the following steps: step S1, a sensor laying step: one or more fiber bragg grating sensors are pre-buried in a concrete test piece or mounted on the surface of the concrete test piece; s2, a load applying step: pouring a static crushing agent into a blast hole formed in the concrete test piece, and applying a static crushing load; s3, a data synchronous acquisition step: passing through an optical fiber sensing analyzer; according to the invention, fiber grating sensor networking is adopted, high-frequency synchronous data acquisition is carried out, transparent observation of the blasting damage process is realized through intelligent analysis of feature points on a strain / displacement time travel curve, a complete dynamic sequence of cracks from crack initiation and expansion to penetration can be quantified, a black box in the process is thoroughly broken, and the blasting damage rate is improved. And a whole-process data support is provided for researching a concrete crushing mechanism.

The invention provides an engineering project construction environmental protection supervision and management method and system. According to the method, multi-dimensional data including a sensor measured value, a visual identification derivation value and construction process information are collected in real time and subjected to space-time calibration, and the method is achieved through multi-source sensor networking deployment, data space-time calibration and fusion filtering. According to the calibrated data, the pollution source is accurately recognized and the diffusion path of the pollution source is modeled through the steps of illegal behavior visual recognition, process association, pollution source and diffusion path recognition and the like. And finally, pollution sources are classified and evaluated, pollution source supervision strategies such as dust, noise, waste water and solid waste are formulated, and real-time monitoring and dynamic adjustment are carried out. According to the method, a closed-loop optimization system is formed, and the construction environmental protection supervision level is effectively improved.

The invention discloses an electromagnetic networking flow measurement system which solves the problems that an existing radar flow meter is prone to being interfered by wind power, an ultrasonic flow meter is complex to install and debug and prone to being influenced by water flow impurities, and a single ultrasonic flow meter is low in precision. The system comprises a radar water level gauge, an electromagnetic flowmeter host, a connecting cable, an electromagnetic flow velocity sensor, a vertical rod and a water storage structure, three electromagnetic flow velocity sensors are arranged in the water storage structure, a connecting cable is electrically connected with the sensors and a host, and a model algorithm is arranged in the host. Multiple electromagnetic sensor networking is combined with an electromagnetic fluid induction technology, a radar water level gauge and a host algorithm are matched, and flow velocity, water level and flow parameters can be accurately collected and output; the sensor is small in fluid-imitating appearance resistance, high in system waterproofness, convenient to disassemble and assemble, small in size and low in cost, a high-precision scheme is provided for flow measurement of medium and large channels, and the flow measurement efficiency and reliability are effectively improved.

The application relates to a design method of a sequential multi-sensor track fusion effect simulation simulator, and belongs to the field of simulation modeling and information fusion processing. In order to overcome the problem that in system simulation, a fusion simulator cannot flexibly simulate different fusion track qualities in the simulation of a sensor networking center, the application is improved on the basis of following a basic framework of a multi-sensor track fusion algorithm, and by innovatively adopting an error association probability table and a filter model correction function as external source parameters, an estimation process with different association and filtering performances which can be self-defined and configured is provided for users, different quality fusion tracks output by a sensor networking system are simulated, and therefore the flexibility of the fusion track simulation is improved, and higher freedom and authenticity are provided for system simulation.

This invention provides a method, system, and medium for three-dimensional positioning and displacement measurement that integrates microwave and vision technologies. The method includes: rigidly connecting at least one microwave sensor and at least one vision sensor as a joint sensing unit; establishing a spatial transformation relationship between the coordinate systems of the two sensors through calibration; fusing the target's radial distance and angle information provided by the microwave sensor with the target's two-dimensional imaging information provided by the vision sensor; and directly solving for the target's three-dimensional coordinates in the selected coordinate system using an optimization algorithm; further combining the high-precision one-dimensional displacement information from the microwave sensor with the two-dimensional displacement information from the vision sensor to reconstruct the target's complete displacement vector in three-dimensional space. This invention, through a compact heterogeneous sensor fusion architecture, effectively solves the problems of limited dimensionality of single-sensor modes, high cost of multi-sensor networking, system complexity, and poor engineering applicability, achieving high-precision, low-cost, and full-dimensional non-contact three-dimensional positioning and displacement measurement.

The application discloses an air-ground cooperative detection networking deployment optimization method, which comprises the following steps: firstly, a mathematical model of ground radar detection sensor networking deployment is established; secondly, a detection area is subjected to gridding treatment, and genetic algorithm is used to optimize the deployment of the ground radar detection sensor networking to obtain a Pareto solution; thirdly, the weak index of each grid of the detection area is calculated to obtain a weak matrix; then, the weak matrix is processed by using the breadth-first search thought to extract and sort weak areas; finally, air-based radar deployment tasks are formulated according to the weak areas, and an air-ground cooperative detection networking deployment scheme is finally generated. The application can make up for the poor detection performance of ground radar networking on low-altitude targets such as unmanned aerial vehicles and the insufficient scheduling mobility, improve the air-frequency domain coverage capability of the ground radar networking and the anti-electromagnetic interference and anti-stealth capability, and make the patrol route designation of the air-based radar detection sensor key task more professional and rigorous.

The application belongs to the technical field of intelligent soil monitoring, and particularly relates to a multi-sensor networking soil parameter high-precision detection device and method. The device adopts a four-layer architecture of sensing, transmission, data processing and application. The sensing layer collects soil texture, temperature and salt parameters, constructs an environmental interference factor matrix, and outputs non-interference data through a layered interference calibration model. The transmission layer completes data transmission in wired and wireless dual modes. The data processing layer extracts spatial and temporal characteristics after preprocessing, and obtains a soil parameter fusion value through dynamic weight fusion. The application layer matches the fusion value with a preset template, realizes scenario generation and visual rendering. The application can solve the problems of the existing multi-sensor networking system, such as easy influence of precision by external factors and insufficient intelligence.

The present application relates to a sensor networking path optimization method, an optimization device, and a computer device. The networking path optimization method includes: obtaining the location information of multiple sensor nodes; wherein the sensor nodes are used to collect data; based on the location information of multiple sensor nodes, the number and position of the aggregation nodes are optimized using an improved lion hunting algorithm, so that in the event of a failure of the aggregation node, the data of the sensor nodes that the failed aggregation node is responsible for can all be transmitted to the central node; wherein the aggregation node is used to transmit the data collected by the sensor nodes that the aggregation node is responsible for to the central node; the sensor networking path is determined based on the number and position of the optimized aggregation nodes. The sensor networking path determined by the above-mentioned sensor networking path optimization method can avoid the phenomenon that in the event of a failure of a aggregation node, the data collected by the sensor nodes that the failed aggregation node is responsible for cannot be transmitted to the central node.

The invention relates to a sensor network node abnormity compensation and correction method, which comprises the following steps of: 1) arranging a plurality of sensors on the surface of a detection structure to form a sensor network, dividing a detected area into a plurality of grids, and detecting each grid through four sensors; 2) judging a grid where an abnormal sound source is located through energy; 3) judging the approximate range of the signal, and if the judgment cannot be carried out, proving that the signal-to-noise ratio of the signal is too poor and the sensor is abnormal; 4) establishing a TDOA curve according to signals acquired by the four sensors in the quadrant when the four sensors are normal, and taking an average value of all intersection points as a final positioning result; if the sensors are abnormal, similar sensors are selected to form a positioning range until the four sensors are normal, and a TDOA curve is established. The abnormal sensors can be eliminated by analyzing the signals of the sensors, the method can be accurately applied to various abnormal sound sources capable of being monitored under sensor networking, and the method has important significance on structural health monitoring under different working conditions.

The invention relates to a track board detection device and method for multi-sensor networking mobile measurement, and the device is characterized in that a mobile bearing platform is divided into a front equipment region, a middle operation region and a rear equipment region, and the middle operation region is provided with a centralized cabinet with heat dissipation and shielding functions; the core control and synchronization unit comprises an integrated positioning and attitude determination system comprising a global navigation satellite system receiver antenna and an integrated inertial measurement unit and odometer module; the high-precision synchronous controller is arranged in the centralized cabinet and is used for receiving the space-time reference of the integrated positioning and attitude determination system and distributing a system hardware synchronous trigger signal to the multi-sensor networking module; the multi-sensor networking module comprises a surface appearance acquisition module; an internal state sensing module; a macroscopic geometric measurement module; and the integrated data processing unit is internally provided with a data fusion and intelligent analysis algorithm. The system has the advantages that the comprehensive state of the track plate is comprehensively sensed in high-speed movement, and seamless connection from data acquisition to maintenance decision is realized.

The utility model discloses an ocean cross-domain multimode communication system based on adaptive switching. The system comprises an underwater sensor unit, a sea surface buoy communication unit, a communication satellite, a mobile communication base station, a cloud server, a land-based data collection unit and a mobile terminal device. The underwater sensor child nodes are connected with the sensor cluster nodes through submarine optical cables, and effective and efficient collection of underwater sensor networking data is realized through a CAN-to-optical fiber communication mode; the system collects ocean information data through underwater sensor nodes, the ocean information data are gathered at underwater sensor cluster nodes through submarine optical cables, and then the information data are transmitted to a land-based data collection unit and a cloud server in real time through a sea surface communication buoy. Each of the underwater sensor unit and the sea surface buoy communication unit comprises a plurality of communication modes and a self-adaptive communication mode switching module, and different communication modes can be automatically switched according to the current environment and requirements so as to ensure the stability and reliability of data transmission.

The present application relates to the technical field of blasting damage test, in particular to a concrete crushing effect test method based on a fiber grating measurement method, comprising the following steps: step S1, a sensor layout step: embedding or surface mounting one or more fiber grating sensors in a concrete test piece; step S2, a load application step: pouring a static breaking agent into a blast hole arranged in the concrete test piece to apply a static breaking load; step S3, a data synchronous acquisition step: through a fiber sensing analyzer; the present application adopts a fiber grating sensor networking and performs high-frequency synchronous data acquisition, realizes transparent observation on the blasting damage process through intelligent analysis on feature points on a strain / displacement time history curve, and the complete dynamic sequence of energy quantization cracks from cracking, expansion to penetration, which completely breaks the process black box and provides whole-process data support for the research on the concrete crushing mechanism.

A networking device includes a light sensor, a processor module, a communication module, and a connector. The processor module is arranged to provide a light control signal based on at least one ambient light signal generated by the light sensor, and to obtain a distributed computing result based on a distributed computing task. The communication module is arranged to receive the distributed computing task and to transmit the distributed computing result according to a data communication standard. The connector may be compliant with ANSI C136.41-2013. The processor module may be arranged to provide the light control signal based on the distributed computing result, or a received message that is generated based on a plurality of distributed computing results.

The present invention relates to a track plate inspection device and method using multi-sensor networking for mobile measurement. The device comprises a mobile platform, and a side detection subsystem, a top surface detection subsystem, and a verticality measurement assembly, all mounted on the mobile platform. The mobile platform comprises a frame and a running mechanism mounted at the bottom of the frame. The side detection subsystem comprises four side structured light camera modules, each mounted at the four corners of the frame. The top surface detection subsystem comprises a sliding frame that slides along the long side of the frame, and a top surface structured light camera module mounted on the sliding frame. The sliding frame comprises two parallel sliding rods and two sliders mounted at each end of the sliding rods. Compared with existing technologies, the present invention offers advantages such as high flexibility and adaptability.

The application discloses a gas pressure sensor communication control method and system based on PFM pulse frequency modulation, in a multi-sensor networking scene, through signal conditioning, the environmental parameters are converted into analog electrical signals and then mapped into a unique pulse change sequence, and the matching degree of the pulse sequence and the parameter change is optimized, realizing high-fidelity and low-power data expression and transmission; through the communication link combined with the signal transmission protocol, interference filtering is implemented, the integrity of the pulse sequence is ensured, and the original parameter data is inversely mapped and restored; then, in the main control unit, multi-source sensor data is integrated to form a networking parameter data set, an abnormal deviation is judged through comparison logic, and a control instruction is generated and fed back to the terminal to perform accurate adjustment, forming a complete link from sensing, optimized transmission to closed-loop regulation, and finally realizing high-reliability real-time monitoring and adaptive intelligent regulation of environmental parameters.

The invention discloses a high-precision synchronization method for predictive random clock source compensation of an industrial wireless network, and belongs to the technical field of industrial wireless communication. The invention aims to solve the core problems of high cost of a high-precision clock source, large drifting of a low-cost clock, weak anti-interference capability and short endurance in the existing WIA-PA network clock synchronization scheme. According to the technical scheme, an architecture of'random clock source + parameter acquisition + predictive compensation + dynamic execution + collaborative management and control 'is constructed, an HC-49S ceramic crystal oscillator is adopted as the random clock source, clock drift is predicted in combination with an LSTM-Kalman filtering fusion model, compensation is achieved through dual mechanisms of'FPGA hardware fine tuning + MCU software calibration', and the WIA-PA superframe time sequence is deeply adapted. According to the invention, the synchronization precision of 100ns-1mu s in the industrial temperature range of-40 DEG C to 85 DEG C is realized, the single-node hardware cost is reduced by 89.4%, the node endurance is prolonged to 1.8 years, the anti-interference intensity reaches-60dBm, and the method can be widely applied to WIA-PA scenes such as intelligent manufacturing robot collaboration, process industrial sensor networking, intelligent power grid monitoring and the like.

This invention discloses a sensor networking method, apparatus, device, and storage medium. The method includes: broadcasting a network access invitation data packet to a Bluetooth broadcast channel when the operating state is broadcast, so that the sensor terminal scans for the network access invitation data packet in the Bluetooth broadcast channel and responds with an authentication connection request based on the network access invitation data packet; switching the operating state to a connected state upon receiving the authentication connection request; receiving a network access response command from the sensor terminal upon completion of the switch; and sending a network access confirmation command to the sensor terminal upon receiving the network access confirmation command, so that the sensor terminal joins the network upon receiving the network access confirmation command. In this invention, when the gateway is in the connected state and receives the network access response command, it sends a network access confirmation command to the sensor terminal, and the sensor terminal joins the network upon receiving the network access confirmation command. This solves the technical problems of complex networking processes and difficulties in terminal network access in Bluetooth sensor networking.

The invention discloses a cable joint temperature data storage and query system based on multi-sensor networking, which relates to the technical field of power equipment monitoring and comprises a multi-sensor networking module, a data aggregation and uploading module, an over-temperature alarm module, a mobile query module and a system stability guarantee module. The system has the beneficial effects that the problem of real-time continuous temperature acquisition in a complex environment is solved by matching a passive wireless / RFID temperature measurement tag with an ad hoc network technology; the cloud platform deeply analyzes temperature data based on an LSTM model, abnormal early warning and fault pre-judgment are realized, and data security is guaranteed in combination with distributed storage; and the mobile terminal supports visual query, so that the operation and maintenance convenience is improved, the stability of the system is guaranteed through address allocation and anti-interference packaging, and the power monitoring reliability and the operation and maintenance efficiency are effectively improved.