382results about "Wired 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 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 field of prediction and early warning of coal mine disasters, and discloses a risk pre-control decision support system for coal mine fire and gas disasters, which adopts hierarchical and micro-service design and integrates a data layer, a model analysis layer and a decision application layer: designing a multi-dimensional sensor network in the data layer to comprehensively monitor coal mine environmental parameters; deploying a local large model in the model analysis layer to perform disaster-causing factor feature extraction and risk prediction, and constructing a local pre-control measure knowledge base to realize protective application of privatized data; and a visual display and man-machine interaction function is provided in the decision application layer, and a user is supported to adjust a decision according to an actual situation to generate a customized emergency response scheme. According to the system, the problems of multi-modal data fusion and privatized data protection are solved, the accuracy of fire and gas risk prediction and the pertinence of decision support are improved, and support is provided for accurate pre-control of coal mine fire and gas disasters.

The invention discloses a lightning arrester data monitoring method and system for optimizing LoRa networking. The lightning arrester data monitoring method and system are used for effectively monitoring a lightning arrester. The method is applied to a lightning arrester data monitoring system. The system comprises a LoRa lightning arrester detection node module, a LoRa-GPRS concentrator gateway module, a remote control platform module, a field lightning arrester control terminal module and a circuit switch remote controller. The method comprises the steps that a LoRa lightning arrester detection node module monitors operation data of a lightning arrester and sends the operation data to a LoRa-GPRS concentrator gateway module through LoRa; the LoRa-GPRS concentrator gateway module receives the operation data and sends the operation data to the remote control platform module through a GPRS network; the remote control platform module performs data analysis on the operation data so as to judge the operation state of the lightning arrester; and the LoRa-GPRS concentrator gateway module performs information interaction with the field lightning arrester control terminal module through a CAN network, so that the field lightning arrester control terminal module processes the lightning arrester by using the circuit switch remote controller according to the operation state.

The invention provides a forest disaster detection method and device, and belongs to the field of forest disaster monitoring, and the method comprises the steps: collecting an infrared image, a stereoscopic vision image and positioning data of a target forest region in real time; an ASSA module is introduced in the feature extraction stage of the YOLOv11, and an infrared image is input into the improved YOLOv11 for flame target recognition; recognizing the stereoscopic vision image through a smoke and fire recognition algorithm, and detecting flame and smoke targets; determining a fire detection result by combining the identification results of the flame target and the smoke target; under the condition that the fire disaster is determined to occur, an HITNet algorithm is adopted to carry out ignition point positioning through a stereoscopic vision image, and the geographic coordinates of a fire disaster point are determined based on positioning data; and sending alarm information based on the fire point geographic coordinates. Therefore, the capability of extracting the flame heat radiation characteristics of the tiny fire points is effectively enhanced, and the detection result of the forest fire is improved.

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 electric energy meter data acquisition device, method and equipment for electric carbon metering and a storage medium, and relates to the technical field of electric power systems and carbon emission management, and the device comprises a carbon emission hardware calculation circuit module which verifies frozen data and regional-level electric carbon factors and line loss power of a superior node, and generates carbon emission data; a first non-volatile processor storing carbon emission data; and the second nonvolatile processor and the first nonvolatile processor are backups for each other and store electric quantity freezing data. The device expands a carbon emission metering function at low cost through an idle RS485 port of an existing intelligent electric energy meter, generates a dynamic electric carbon factor through local calculation, accurately calculates carbon emission data, and improves the accuracy of the carbon emission data. The data accuracy, real-time performance and reliability are improved, the centralized calculation burden is relieved, the system modification cost is reduced, large-scale popularization and application are supported, and low-carbon transformation and green power management are effectively promoted.

The invention relates to the technical field of power system diagnosis, in particular to a power distribution network single-phase earth fault multilateral collaborative diagnosis and positioning method, which comprises the following steps: S1, collecting current and voltage signals in a power distribution network in real time through a sensor network; s2, preprocessing the current and voltage signals; s3, analyzing the unbalance degree of the current and the abrupt change point of the voltage, and identifying whether a single-phase earth fault occurs or not; s4, calculating the propagation time difference of the fault signal by using a time difference of arrival method, and preliminarily estimating the position of the fault; s5, correcting a fault position to locate a specific fault point; s6, generating a fault positioning report; and S7, according to a fault positioning result, triggering a processing measure to send a maintenance instruction to related personnel. According to the invention, through combination of multi-data source analysis and a power grid topological structure, an accurate fault positioning and automatic processing flow is provided, the fault detection precision and the processing efficiency are effectively improved, and stable operation of a power grid is ensured.

The invention relates to the technical field of HPLC carrier communication, in particular to an HPLC carrier intelligent management system and method based on wireless communication. The system comprises a collector used for receiving an instruction sent by a concentrator, forwarding the instruction, collecting electric meter data and forwarding the electric meter data to the concentrator; the concentrator is used for sending a meter reading request instruction, a heartbeat message detection instruction and the like to the intelligent electric meter, carrying out reliability maintenance on meter reading data, generating a message representing a fault, and sending the meter reading data and the message representing the fault to the transformer area management service center module in a wired or wireless communication mode; and the transformer area management service center module is in communication connection with the concentrator, is used for receiving information such as meter reading data, the ID and the position of an intelligent electric meter HPLC module, messages representing faults and the like, processing, storing and analyzing the received data, and respectively generating early warning information according to different fault information, and comprises a data processing unit, an early warning unit and an interaction unit.

The invention is suitable for the technical field of ultrasonic diagnosis, and provides an ultrasonic auxiliary diagnosis method and system, and the method comprises the steps: collecting ultrasonic data through an ultrasonic probe; transmitting the ultrasonic data from the ultrasonic probe to a millimeter wave communication module physically separated from the ultrasonic probe through a wired link; the millimeter wave communication module adopts a millimeter wave wireless communication technology to send the ultrasonic data to one of a plurality of millimeter wave access points deployed in the operation environment; transmitting the ultrasound data received by the millimeter wave access point to a remote computing platform through a wired bearer network configured to support deterministic network functionality; and receiving the ultrasonic data transmitted through the deterministic network function in the remote computing platform, performing ultrasonic data processing on the received ultrasonic data according to a preset processing strategy, generating diagnosis auxiliary data for ultrasonic auxiliary diagnosis, and providing the diagnosis auxiliary data for display equipment for display. The problem that existing ultrasonic diagnosis is insufficient in flexibility is solved.

The invention discloses a multifunctional intelligent controller based on real-time parameters, which belongs to the technical field of instrument intelligent control and consists of a core processing unit, a multi-sensor interface module, a communication module, a remote maintenance module and a power management module. The core processing unit is integrated with a high-performance microprocessor and a real-time operating system to realize multi-task scheduling of data acquisition, processing, storage and the like; the multi-sensor interface module dynamically matches sensor types to guarantee stable connection; the communication module supports various wireless and wired communication, so that remote maintenance and OTA upgrading are facilitated; the remote maintenance module constructs a two-way communication link based on the cloud platform to ensure data security; the power management module adopts dual-mode power supply, a detachable structure realizes mode switching, and portability and stability are both considered. The controller can be compatible with various instruments, supports multi-parameter synchronous measurement, achieves automatic calibration, effectively solves the problems of an existing instrument controller, and is widely applied to the fields of industrial automation, instrument monitoring and the like.

The invention provides an online monitoring method and monitoring system based on the water content of an evaporative cooling medium, relates to the technical field of monitoring of the water content of the evaporative cooling medium, and is applied to the online monitoring system based on the water content of the evaporative cooling medium. The monitoring system at least comprises a low-precision continuous detection subsystem comprising a sensor based on a dielectric constant method and a high-precision intermittent calibration subsystem comprising a Karl Fischer testing device. The monitoring method comprises the following steps: monitoring the moisture content of the evaporative cooling medium through the low-precision continuous detection subsystem, and acquiring first data corresponding to the moisture content of the evaporative cooling medium through the sensor; and under the condition that the first data characterizes that the moisture content of the evaporative cooling medium fluctuates abnormally, the high-precision intermittent calibration subsystem is started, the moisture content of the evaporative cooling medium is accurately measured through the Karl Fischer testing device, and automatic response and accurate calibration are achieved.

The present disclosure relates to an auxiliary device for monitoring a module and / or pack of an electric battery system. The auxiliary device provides module-level and / or pack-level measurements and may be flexibly placed anywhere within an electric battery monitoring system.

The invention relates to the technical field of environment monitoring, and discloses a soil greenhouse gas emission intelligent online monitoring system, which comprises a sensor module, a data acquisition module I, a data acquisition module II, a communication module, a power supply control module and a data processing module, the sensor module is positioned in a sensor arranged in the detection box and is used for monitoring the concentration of greenhouse gas in the soil covered by the detection box in real time. According to the intelligent online monitoring system for soil greenhouse gas emission, the communication module has a wireless communication function and a wired communication function, and through alternate data transmission between a cable and Bluetooth, a soil part covered by the detection box can perform real-time and continuous monitoring on soil greenhouse gas in cooperation with detection equipment of the sensor module; dynamic change of emission is mastered in time, more accurate data support is provided for scientific research and environment management, meanwhile, remote data transmission and monitoring are achieved through the communication module, and a user can know the soil greenhouse gas emission condition anytime and anywhere conveniently.

The invention relates to the technical field of industrial monitoring communication, and particularly discloses a processing method for communication with a PLC and an instrument. The method comprises the following steps: S1, establishing an equipment model library; s2, generating an equipment channel address table according to the equipment model library; s3, creating a real-time control working condition data variable based on the equipment channel address table, and establishing communication connection between the real-time control working condition data variable and a monitoring sensor of the controlled PLC or instrument; s4, dynamically generating a data acquisition instruction sequence according to the device channel address table; s5, executing the data acquisition instruction sequence, and analyzing and storing the acquired data to a real-time control working condition data variable; s6, monitoring the variable change of the real-time control working condition data, and generating a data writing instruction when the variable is changed; and S7, executing a data writing instruction, and writing the new variable value into the corresponding PLC or instrument. Different PLCs and instruments generate unified real-time control working condition data variables in the system through corresponding templates, and equipment data of different PLCs and instruments can be monitored.

The invention discloses an electric energy acquisition terminal based on a distributed database, and relates to the technical field of intelligent power grid management. The electric energy acquisition terminal based on the distributed database comprises an intelligent electric meter; an electric energy data acquisition module; an electric energy transmission delay evaluation module; and an electric energy data verification module. According to the method, after initial acquisition electric energy data is pre-screened, data quality verification and compliance verification are executed, whether qualified acquisition optimization is carried out or not is judged, then electric energy transmission delay evaluation is carried out, and whether electric energy data delay evaluation result optimization is carried out or not is judged; and finally, performing electric energy data verification and storage evaluation, and judging whether to perform electric energy data calibration storage optimization or not, thereby achieving the effect of improving the accuracy in the electric energy data acquisition process based on the distributed database. The problem that in the prior art, the accuracy is low in the electric energy data acquisition process based on a distributed database is solved.

The invention provides an optical fiber on-line monitoring system, which comprises an optical fiber sensor unit used for acquiring the physical quantity of an object to be monitored through an optical fiber sensor and converting a signal acquired by the sensor into an optical signal; the optical fiber transmission module is used for receiving the optical signal transmitted by the optical fiber sensor unit and stably transmitting the signal to the optical signal processing unit through an optical fiber line; the optical signal processing unit is used for converting the received optical signal into an electric signal and generating effective monitoring data after filtering, noise removal and analysis; the monitoring terminal is used for receiving the result transmitted by the optical signal processing unit and displaying the state information of the monitored object on a display interface in real time; and the data storage system is used for storing historical monitoring data and assisting a user in performing equipment state analysis and preventive maintenance. The device has excellent performance and wide application prospect, and is particularly suitable for monitoring high-temperature, high-pressure and high-risk special equipment.

The invention discloses an intelligent monitoring and early warning method and system for three-dimensional settlement of a draw shaft. The early warning method comprises the following steps of early-stage preparation, equipment installation, system debugging and calibration, data acquisition and transmission and data analysis and processing. The monitoring system comprises at least two independent array displacement meters, the array displacement meters are connected end to end in the extending direction of a roadway and arranged in parallel to form a continuous monitoring section, the array displacement meters are arranged on the side wall of the ore discharge station roadway of the draw shaft respectively, the position farthest away from the draw shaft serves as a measuring datum point, and the settlement amount of each measuring point on each measuring line is monitored respectively. A common monitoring point is formed at the end-to-end connection part of the array displacement meters, and settlement data of the common monitoring point is used for performing cross validation on independent measurement results of different array displacement meters. According to the invention, continuous distributed measurement can be realized, the periphery of the draw shaft can be fully covered, and richer and more accurate data can be obtained, so that the sedimentation condition of the draw shaft can be evaluated more accurately, and a reliable basis is provided for judging the stability of the draw shaft.

The invention relates to the technical field of gas metering, and discloses an ultrasonic gas meter with a novel calibration model and a calibration method thereof.The ultrasonic gas meter comprises an ultrasonic sensor module used for calculating the flow velocity by measuring the propagation time difference of ultrasonic waves in a gas medium; the signal processing module is used for amplifying, filtering and digitally converting the received ultrasonic signals; the microprocessor module is used for calculating and controlling the collected data; and the communication module is used for realizing data communication and system management with a remote server. By introducing a self-adaptive calibration model, a calibration coefficient can be dynamically adjusted according to real-time environmental parameters (such as temperature, pressure and fuel gas components), environmental data are collected through auxiliary sensors such as a temperature sensor and a pressure sensor, and real-time compensation is realized in combination with a machine learning model; and it is ensured that the gas meter can keep high measurement precision under different working conditions.

A system for monitoring pavement infrastructure includes an edge network enabled sensor-enabled geogrid embedded within the pavement infrastructure, a microcontroller configured to receive signals from the sensor-enabled geogrid, and a communication network for transmitting the received signals from the microcontroller to a computer network. The sensor-enabled geogrid provides real-time data on the condition of the pavement, enabling efficient monitoring and maintenance. The microcontroller processes the signals from the geogrid, and the communication network facilitates the transmission of this data to a remote computer network for analysis and decision-making. This system enhances the ability to monitor pavement conditions, potentially improving maintenance strategies and extending the lifecycle of pavement infrastructure.

The invention relates to the technical field of electric power data acquisition, in particular to an electric power data acquisition system based on HPLC (High Performance Liquid Chromatography). Comprising a centralized acquisition platform and an HPLC module, the centralized acquisition platform comprises a computer server, a database server, a data communication server, a WEB server, a civil electricity module, a public electricity module, a commercial electricity module and a 4G / 5G wireless communication network unit; the computer server is used for calculating and analyzing the collected electricity consumption data; the database server is used for collecting and storing the electricity consumption data; the data communication server is used for sending the analyzed data to each power utilization end; the civil electricity module is used for collecting electricity consumption of a single user; the public electricity module is used for collecting electric quantity of public facilities, public areas and public enterprises; the commercial electricity consumption module is used for collecting electricity consumption of markets, service industries and private enterprises; the HPLC module can adapt to a severe power line environment and provide high-reliability data transmission.

A battery management system comprising: a synchronisation element comprising an oscillator wherein the synchronisation element is configured to generate a reference clock signal based on an output of the oscillator; and a plurality of measurement devices wherein each measurement device is configured to measure an electrical property of one or more battery cells and comprises a local oscillator configured to generate an individual clock signal; and wherein the plurality of measurement devices are connected in a communication network with the synchronisation element, and wherein: the synchronisation element is configured to send, by the communication network, time reference signals to the plurality of measurement devices based on the reference clock signal; each measurement device is configured to compare each time reference signal to its individual clock signal and, based on any detected difference, adjust its local oscillator to synchronize the individual clock signal with the reference clock signal.

The safety systems for commercial blasting operations include wireless transmitter system(s) configured to send command signals wirelessly to wireless devices that are configured for wireless electronic blasting (web). The system also includes disable antenna(s) that define deactivation zone(s): vehicle / personnel presence detector system(s) including detectors that define detection zone(s), and / or RFID scanner system(s) with reader antennas that defined scanner zone(s); and a safety control system in electronic communication with the wireless transmitter system(s), and the vehicle / personnel presence detector systems and / or the RFID scanner systems, wherein the safety control system is configured to control the wireless transmitter systems to send wireless disable command(s) to disable the wireless devices that are within the deactivation zones, and / or to control alarm system(s) to generate alarms, in response to a vehicle / person being detected in the detection zones and / or a wireless device being detected in the scanner zones.

An appliance management method is designed to make power distribution equipment, provided on a power supply channel, control and / or monitor an appliance to be electrically connected to the power distribution equipment. The appliance management method includes an authentication step and a management step. The authentication step includes allowing a high-order system to perform authentication on the power distribution equipment by making the power distribution equipment access the high-order system via a public network after the power distribution equipment has been energized. The management step includes making the power distribution equipment that has been authenticated in the authentication step control and / or monitor the appliance.

The invention provides a photoelectric automobile integrated sensing system and method, and relates to the technical field of optical fiber communication, and the system comprises a light source, a processor, an isolator, a coupler, a vehicle domain, a spectrometer, an optical signal splitter, a vehicle domain controller, a first photoelectric converter, a second photoelectric converter, and a vehicle domain actuator. The vehicle domain is connected with a vehicle domain actuator through a coupler, an isolator, a light source, a processor, an optical signal splitter / combiner, a vehicle domain controller, a first photoelectric converter and a second photoelectric converter in sequence; the processor is connected with the light source and is used for carrying out frequency division on the laser emitted by the light source to obtain a communication band signal for communication and a sensing band signal for sensing; and the spectrometer is respectively connected with the coupler and the processor. The light source, the processor, the isolator, the coupler and other components in the system are utilized, and the problems of bandwidth, electromagnetic interference and signal attenuation in traditional electric signal transmission are solved.

The invention relates to the technical field of billiard sports intellectualization, in particular to an AI intelligent identification-based billiard table sounding bag and billiard cue hitting sensing accurate feedback system, which comprises a billiard cue sensing device, a bag opening detection device, a central processing device, a feedback execution device and a network communication device, the club sensing device collects hitting force, club body stress distribution and club body posture data and transmits the data to the central processing device; the bag opening detection device collects billiard ball bag entering state, ball number color, ball hitting speed and ball entering position data through optical, acoustic and infrared detection and transmits the data to the central processing device. After receiving and processing the multi-source data, the central processing device generates sound, vibration, voice feedback and interactive guidance instructions and sends the instructions to the feedback execution device; by integrating AI intelligent identification and multi-sensor data acquisition and processing, precise judgment, real-time feedback, multi-dimensional data statistical analysis and remote competition watching of billiard falling bags are realized, and ball hitting experience, training efficiency and competition propagation capability are improved.

A daisy chain breakpoint recovery method, apparatus and device, and a storage medium. The method comprises: acquiring a connection number of front-end sampling chips in a daisy chain, and on the basis of the connection number, determining whether there is a breakpoint in the daisy chain; when there is a breakpoint in the daisy chain, limiting a travelling power on the basis of sampled data before the breakpoint; reconnecting the front-end sampling chips in the daisy chain, such that the daisy chain is restored to normal; and after the daisy chain is restored to normal, acquiring overall sampled data, and restoring the travelling power on the basis of the overall sampled data.

In one embodiment, an IED apparatus is described. The IED apparatus includes (a) power system equipment; (b) a first Ethernet port configured to connect to a monitoring server over one of optical fiber cable or multiple-twisted-pair copper cable (MTPCC); (c) a second Ethernet port configured to connect to a remote sensor device over a single-twisted-pair copper cable (STPCC) using the 10Base-T1S or -T1L standard; and (d) processing circuitry configured to (1) communicate monitoring data with the monitoring server over the first Ethernet port and (2) receive sensor information from the remote sensor device via the second Ethernet port over the STPCC using the 10Base-T1S or -T1L standard. A related system is also described.

The invention relates to a LoRa-based composite sensor and environment detection system, which comprises a data acquisition module, a signal processing module, a LoRa communication module and a power supply module, and is characterized in that a plurality of different sensors are integrated in the data acquisition module to detect a plurality of environment parameters and motion parameters at the same time, and the signal processing module is connected with the data acquisition module; the signal processing module is used for processing feedback signals of various different sensors in the data acquisition module and transmitting the processed signals to the LoRa communication module, the LoRa communication module converts the signals into wireless signals and sends the wireless signals, and the power supply module is used for supplying power to the data acquisition module, the signal processing module and the LoRa communication module. The pressure sensor, the temperature sensor, the humidity sensor, the gas sensor and the inertia sensor are integrated in one module, synchronous collection of multiple parameters is achieved, the number of devices and installation space are reduced, cost and wiring complexity are reduced, and energy consumption is reduced through the LoRa technology.

The present invention discloses an electric energy acquisition terminal based on a distributed database, relating to the field of smart grid management technology. The electric energy acquisition terminal based on a distributed database includes: a smart meter; an electric energy data acquisition module; an electric energy transmission delay assessment module; and an electric energy data verification module. After initially collecting and pre-screening electric energy data, the present invention performs data quality verification and compliance verification to determine whether to perform qualified acquisition optimization. It then performs an electric energy transmission delay assessment to determine whether to optimize the electric energy data delay assessment results. Finally, it performs electric energy data verification and storage assessment to determine whether to perform electric energy data calibration and storage optimization. This improves the accuracy of the electric energy data acquisition process based on a distributed database, solving the problem of low accuracy in the electric energy data acquisition process based on a distributed database in the prior art.