257results about "Sub-station arrangements" patented technology

The invention discloses an intelligent industrial wastewater treatment method based on edge calculation and multi-modal data fusion, which comprises the following steps: synchronously acquiring various data of an industrial wastewater treatment site through edge nodes, automatically adjusting and aligning the generation time of each data, and ensuring that the time error of different data is less than a set threshold value; organically fusing the image features, the chemical parameters and the component analysis report to generate pollutant description features; constructing a simplified simulation model on the edge equipment, and predicting the diffusion trend of the wastewater pollutants by using the simulation model based on the pollutant description characteristics; and when the network is interrupted, the edge equipment is automatically switched to a local mode, and the operation is continued by using the stored model and the wastewater data acquired in real time. According to the method, the simulation model is deployed through the edge equipment, so that the calculation amount can be greatly reduced, the diffusion trend of wastewater pollutants can be accurately predicted, effective treatment measures can be taken in time, and the stability and reliability of an industrial wastewater treatment system are improved.

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 provides an intelligent gas meter remote meter reading method and system based on the Internet of Things, and relates to the technical field of intelligent gas meters. The method comprises the following steps: collecting local metering data and Internet of Things transmission data; constructing a dual-source data multi-dimensional conflict identification system, and screening conflict data groups; performing accuracy verification on the conflict data group; an encrypted transmission channel is established, and the traceability of the data transmission process is realized; triggering a grading early warning mechanism for the abnormal usage data deviating from the baseline; and carrying out iterative updating on the meter reading data knowledge base, and carrying out remote calibration. According to the method, double-source data conflicts are identified through multiple dimensions, conflict data are corrected in combination with a hybrid model, metering accuracy is guaranteed, and disputes are reduced; through constructing a baseline model and a grading early warning mechanism, abnormal usage is accurately identified and disposed, hidden dangers are timely prevented, and service is excellent. Through dynamic on-demand remote calibration of equipment, the metering precision is guaranteed, the operation and maintenance cost is reduced, the user data transparency is improved, and intelligent gas management is assisted.

The invention relates to the technical field of data processing, in particular to an efficient transmission method for electric energy meter acquired data, which comprises the following steps: acquiring multi-dimensional feature data of an electric energy meter at each moment, and obtaining multi-dimensional real-time feature data at the current moment and a multi-dimensional historical feature data sequence within a preset historical time period; using an isolated forest algorithm to randomly select sample points to form at least one sample subset, for any sample subset, obtaining the abnormal degree of each sample point in any sample subset under each feature, obtaining a segmentation condition under each feature according to the abnormal degree, and generating an isolated tree; obtaining a normal weight of each path in the isolated tree according to fluctuation features of sample points in a sample subset corresponding to the isolated tree and differences between the sample points and the multi-dimensional real-time feature data; and the final score is obtained by using the normal weight of each path in each isolated tree, and the adjustment frequency is obtained according to the final score, so that the interference of non-system abnormal data such as noise on frequency adjustment is effectively reduced.

The invention relates to a tunnel crack monitoring method, system and device and a medium, and belongs to the technical field of tunnel monitoring, and the monitoring method comprises the steps: obtaining a three-dimensional model and a geological parameter library of a to-be-monitored tunnel, and constructing a sensor network topology structure; deploying a sensor network based on the sensor network topology structure; receiving static strain data and dynamic vibration data, collected by the sensor network, of each monitoring point in the tunnel; performing space-time alignment on the static strain data and the dynamic vibration data, eliminating environmental interference based on a pre-trained noise spectrum feature library, and generating a cleaned structured data table; extracting a strain gradient characteristic value and a dynamic chaos characteristic value in the structured data table, inputting the strain gradient characteristic value and the dynamic chaos characteristic value into a multi-stage classification model for crack type identification and risk grade evaluation, and generating a crack risk grade map; and generating corresponding maintenance prompt information according to the crack risk grade map. According to the invention, the comprehensiveness and accuracy of tunnel monitoring can be improved.

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 underground pipe gallery real-time state dynamic monitoring method and system based on multi-source data fusion, and relates to the technical field of state monitoring, and the method comprises the steps: obtaining a monitoring point set of an underground pipe gallery, and monitoring the monitoring point set; performing real-time risk identification, determining a risk real-time receiving data set and a risk monitoring point set, then performing causal traceability, and determining a traceability clue cluster; by taking the traceability clue cluster as an index, clue extraction is carried out, a traceability receiving data sequence cluster is determined, time sequence iteration trend risk authentication is carried out, and a risk trend feature cluster is determined; and determining a first dynamic monitoring frequency and a second dynamic monitoring frequency, and distributing the first dynamic monitoring frequency and the second dynamic monitoring frequency to the state monitoring terminal to monitor the monitoring point set. The technical problem that the real-time state monitoring frequency of the underground pipe gallery is fixed and cannot be dynamically adjusted according to the risk change in the prior art is solved, and the technical effects that the monitoring frequency is adaptively adjusted along with the risk state, and the monitoring accuracy and the response timeliness are improved are achieved.

A smart circuit breaker may provide a smart-circuit-breaker power monitoring signal that includes information about power consumption of devices connected to the smart circuit breaker. The smart-circuit-breaker power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart circuit breaker, (ii) identify devices receiving power from the smart circuit breaker, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

The invention discloses a pressure monitoring method and system based on a power transmission cable axis sensor, and belongs to the technical field of data transmission, and the method comprises the steps: S1, a sensor module collects cable traction data and self position data at a measurement time point, and transmits the data to a monitoring module through a relay module; the monitoring module generates adjustment data based on the traction force data, wherein the adjustment data comprises an adjustment numerical value and an adjustment time point; s2, the cloud storage module obtains the data sequence and verifies the data sequence, and if verification is passed, the step S3 is executed; s3, analyzing the adjustment data, if an analysis result does not meet a preset rule, extracting an adjustment time point, and defining the adjustment time point as an abnormal time point; and S4, a marking module obtains a measurement time point which is located after the abnormal time point and is closest to the abnormal time point, obtains corresponding position data based on the measurement time point, and marks an indication label. According to the invention, a manager can remotely supervise the cable laying process.

The invention discloses a data acquisition interaction method of an electric energy meter data terminal. The data acquisition interaction method comprises the steps of instruction awakening and parameter initialization, dynamic sampling of environment perception, anomaly detection driven by spatial-temporal characteristics, multi-path quantum-classical hybrid encryption transmission and feedback retransmission and cache synchronization. According to the method, the sampling frequency is dynamically adjusted by fusing power load and environmental fluctuation data, a Mixer-Transform architecture is adopted to extract spatial-temporal characteristics, an abnormal threshold is updated in combination with EWMA, quantum or national secret encryption is selected according to a path quality score, fragmented parallel transmission is carried out, and hierarchical cache synchronization is carried out according to data timeliness. According to the method, the sudden change response speed is increased, the abnormal false alarm rate and the transmission packet loss rate are reduced, the data synchronization delay after network recovery is reduced, and the method is suitable for accurate acquisition and secure transmission of electric energy data in a complex environment.

A smart circuit breaker may provide a smart-circuit-breaker power monitoring signal that includes information about power consumption of devices connected to the smart circuit breaker. The smart-circuit-breaker power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart circuit breaker, (ii) identify devices receiving power from the smart circuit breaker, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

An apparatus for transmitting telemetry through an external interface is disclosed. An integrated circuit includes at least one interface circuit configured to communicate on an external interface of the integrated circuit with a plurality of other integrated circuits. The integrated circuit further includes a first control circuit coupled to the at least one interface circuit, a first table circuit. The first control circuit is configured to store telemetry data transmitted by the plurality of other integrated circuits over the external interface in respective table entries of the first table circuit, based on which of the plurality of other integrated circuits transmitted the telemetry data.

The invention discloses a combustible gas remote monitoring management system and method based on Internet of Things and AI, and relates to the technical field of combustible gas monitoring. The system comprises a source heterogeneous sensing module, an edge AI reasoning module, a networking communication transmission module, an AI collaborative decision-making module and a judgment collaborative response module which run in sequence, and is technically characterized in that the AI collaborative decision-making module driven by a user behavior portrait is adopted in the scheme, and multi-dimensional characteristic factors are introduced, so that the dynamic sensing of abnormal gas consumption behaviors is realized, and the dynamic sensing of the abnormal gas consumption behaviors is realized; in addition, the understanding is completed by configuring an overrun protection item, it is ensured that sudden leakage and other situations are not missed to a certain extent, the defect that a traditional pure data driving model lacks interpretability and real-time performance is overcome, historical behavior contexts and real-time physical states are fused and bound, and collaborative optimization processing on safety and experience effects is completed.

The invention relates to the technical field of electric energy meter connectors, and particularly provides a state monitoring method of an electric energy meter connector and the electric energy meter connector. According to the method, early warning grading is carried out based on temperature data at a connector plug, a dynamic safety threshold value at the current moment, a temperature change rate and a temperature trend; the state monitoring result of the connector is determined based on the early warning level, the fault type and the residual life, the dynamic safety threshold is determined according to the real-time current data flowing through the connector and the real-time environment temperature, and the temperature trend and the temperature change rate are determined based on the sliding window strategy and the 3 sigma principle; the fault type is determined according to the temperature data, the current data and the historical data, and the residual life is predicted according to the temperature data and the time data corresponding to the temperature data. The problem that the operation state of the electric energy meter connector cannot be monitored in real time in the prior art is solved.

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.

The invention provides an intelligent gas unmanned inspection method and system based on the Internet of Things, the method is executed by a government safety supervision management platform of the intelligent gas unmanned inspection system based on the Internet of Things, and the method comprises the following steps: obtaining area data of a management area; based on the area data and the traffic data of the management area, whether the management area is determined as a to-be-inspected area is judged; in response to determining the management area as a to-be-inspected area, determining inspection parameters of the to-be-inspected area; the inspection parameters are related to at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment; and sending the inspection parameters to a government safety supervision object platform to control at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment so as to complete inspection of the to-be-inspected area. Through the above method, polling can be completed in a more targeted and timely manner, so that the polling result is more reliable, and smooth proceeding of subsequent troubleshooting is facilitated.

The invention relates to the technical field of natural resource monitoring and evaluation, and discloses a natural resource dynamic monitoring and evaluation system based on multi-source spatio-temporal data fusion, comprising a semantic mapping module for analyzing a business document to generate a constraint rule and constructing a basic spatio-temporal tensor; the perception strategy module monitors state node evolution and generates an acquisition strategy instruction to drive an external sensor to obtain enhanced perception data; the state evolution module deduces an expected legal state sequence and reconstructs an actual physical state sequence in combination with enhanced perception data; the energy quality fingerprint module establishes nonlinear mapping by using the time sequence energy quality data, and calculates a fingerprint consistency index to verify the authenticity of a physical state; and the deviation risk module calculates a space-time semantic distance and a propagation risk value based on the topological network in combination with the consistency index, and generates a resource audit report. According to the invention, through event-driven active perception and cross-modal energy quality implicit verification, the problems of insufficient monitoring data space-time precision and difficult camouflage compliance identification are effectively solved.

The invention relates to the technical field of information processing, in particular to a soil monitoring method, device and equipment based on the Internet of Things and a storage medium, node deployment density suggestions are generated according to a soil difference atlas, a plurality of intelligent sensing nodes are deployed in a target soil monitoring area based on the node deployment density suggestions, the rationality of node deployment can be improved, and the reliability of node deployment is improved. According to the method, abnormal data detection is carried out on multi-parameter data based on multi-parameter space-time correlation, dynamic adaptive filtering processing is carried out on the multi-parameter data according to a detection result, the reliability of data processing is improved, and a LoRa ad hoc network or an NB-IoT network is selected according to an output result of a decision matrix to transmit effective monitoring data to a cloud platform. The data transmission flexibility is improved, the soil parameter early warning threshold value is dynamically updated according to the growth stage information and the short-term weather forecast information, the early warning accuracy is improved, farming operation suggestions are generated according to the effective monitoring data and the soil parameter early warning threshold value, and operable intelligent decision support is provided.

A system 100 performs functional testing of a device 102 on a production line. The system comprises a self-testing protocol to conduct a functionality test on a plurality of components in the device a

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.

The invention relates to an information processing apparatus, an information processing system, and a server system. The information processing apparatus includes circuitry configured to: generate control information for performing light emission control of light emitted from an operation terminal; and sending the control information to the operation terminal; wherein the operation terminal controls the action of the information processing equipment through remote operation based on the operation of a user; wherein the light emission control includes controlling, based on the control information, one or more of a light emission start, a light emission end, a light emission luminance, a light emission color, a light emission time, and a light emission period of one or more buttons included in the operation terminal; wherein the circuitry is configured to generate control information based on notification information to a user; the control information causes the emitted light to correspond to one or more buttons associated with the notification information among a plurality of buttons included in the operation terminal.

A battery-less sensor device includes a sensor to sense an environmental condition, a power supply system, a memory, a communication device, and a processor. The power supply system includes energy harvesting devices to harvest energy from ambient energy sources for powering one or more components of the sensor device, and an energy storage device to store harvested energy. The memory stores sensor data associated with the environmental condition sensed by the sensor. The communication device transmits the sensor data to a BMS or remote device. The processor is configured to dynamically select one or more energy sources from the ambient energy sources to power one or more components of the sensor device according to an availability of energy from the ambient energy sources and / or an energy consumption requirement of the one or more components of the sensor device, and to control supply of power to the one or more components.

An industrial wireless sensor system, includes: a sensor sensing an external physical state and outputting a sensing signal; a sensor controller converting the sensing signal from the sensor, converting the sensing signal into a digital signal, and outputting the digital signal; a wireless communication unit receiving the digital signal from the sensor controller, converting the digital signal into a wireless signal, and outputting the wireless signal to a factory controller; a power source supplying power to each of the sensor and the sensor controller; and a battery connected to the power source.

The application discloses a kind of substation wireless meter reading method, system, electronic device and storage medium, belong to electronic communication technical field, solve the technical problem of insufficient accuracy of existing wireless meter data acquisition.It includes using multiple wireless acquisition nodes deployed in substation to collect multi-modal raw data and pre-process, obtain the multi-modal data set of each node after pre-processing;Semantic feature extraction is carried out on the multi-modal data set after pre-processing, to generate the unified multi-modal feature representation of each node;Using lightweight Transform model to process the unified multi-modal feature representation, to obtain the meter reading prediction value of the node and the corresponding reliability evaluation result;Based on the reliability evaluation result, the meter reading prediction value of each node is weighted and fused to obtain the global meter reading;Based on the error between global meter reading and reference value, the parameters of lightweight Transform model are optimized.The reliability and fault tolerance of data reading are realized.

Method for operating a communication system (1) in which data is sent and / or received by a communication participant, wherein the communication participant a communication device (5) for sending and / or receiving the data, a microprocessor (6) and a power supply (7), wherein the power supply (7) supplies the microprocessor (6) and / or the communication device (5) with power for their operation, the power supply (7) has an electrical quantity whose value changes from an initial value (AW) as the microprocessor (6) and / or the communication device (5) are supplied with power, the microprocessor (6) encodes the data before sending and / or decodes it after receiving, and the coding or decoding takes place via a computing cycle, characterized in that the calculation cycle is interrupted and continued again if the electrical quantity changes during the calculation cycle, preferably at any point, the coding and / or decoding during the calculation cycle is carried out separately in individual coding phases (KP1-KPn) in which the value of the electrical quantity changes, between and / or within the coding phases (KP1-KPn) regeneration phases are provided for at least partial regeneration of the electrical quantity, and the duration of a regeneration phase is such that the value of the electrical quantity changes towards and / or reaches the initial value (AW) during the regeneration phase.

Sensor device, comprising: - a sensor unit (318), - a wireless communication unit (314) configured to send and receive data directly or indirectly to and from an external source, and - a host or master identification circuit (321) for receiving identification information from a sporting goods item while attached to the sporting goods item, wherein the host or master identification circuit is configured to trigger an identification of the sporting goods item in response to a trigger from an identification activation element in the sporting goods item when attached to the identification activation element, wherein the host or master identification circuit (321) is configured to communicate with a slave identification circuit (327) in the sporting goods item in response to the trigger, and wherein the sporting goods item does not include a power source and the identification activation element includes an actively coupled resistor, and - the processing unit is configured to be activated in response to the trigger and is configured to initiate the connection of the host or master identification circuit to the sporting goods.

The present disclosure provides implants, sensor modules, networks, and methods configured to establish transcutaneous power and transcutaneous bidirectional data communication using ultrasound signals between two or more medical devices located on and within a body of a patient.

The present application relates to hydrogen refueling station safety technical field, specifically to a kind of hydrogen refueling station safety monitoring system and monitoring method.Setting detection camera obtains the image in the range of hydrogen refueling station hydrogen refueling terminal, the posture of operator is analyzed from the image extracted, whether operation specification is determined;Monitoring center sends pressure data, temperature data and the infrared light intensity data obtained to analysis cloud, analysis cloud is according to pressure data, temperature data and infrared light intensity analysis hydrogen concentration, and concentration is fed back to monitoring center;Monitoring center controls the rotational speed of exhaust fan according to the detection result of hydrogen concentration.The hydrogen gas added by hydrogen refueling station is the hydrogen obtained by natural gas hydrogen production, other gas is used instead of detection hydrogen, solve the problem that infrared light cannot detect hydrogen.Detect temperature and pressure, and the result of detection is corrected, avoid the problem of detection sensor data drift caused by temperature and pressure.