2123results about "Wireless architecture usage" patented technology

Flexible scheduling, self-healing, high-utilization strong stability for cellular network communications are discussed. Cellular network communication settings and strategies are developed with communication interval, transmit power data rate, channel delay, spectrum occupancy, source coding, receiving sensitivity, channel coding, signal-to-noise ratio, packet loss rate, channel occupancy rate, reception frequencies frequency band size of data package transmission frequencies, data package structure, modulation scheme, information coding scheme, antenna configuration.

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.

Provided in embodiments of the present disclosure are a wireless sensing method and apparatus, a communication device, and a storage medium. The method includes: based on a sensing service. sending a sensing service request to a sensing function. The sensing service request is at least used by the sensing function to configure a sensing parameter of the sensing service.

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

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

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

Device, system, and method of autonomous driving and tele-operated vehicles. A vehicular Artificial Intelligence (AI) unit, is configured: to receive inputs from a plurality of vehicular sensors of a vehicle; to locally process within the vehicle at least a first portion of the inputs; to wirelessly transmit via a vehicular wireless transmitter at least a second portion of the inputs to a remote tele-driving processor located externally to the vehicle; to wirelessly receive via a vehicular wireless receiver from the remote tele-driving processor, a remotely-computed processing result that is received from a remote Artificial Intelligence (AI) unit; and to implement a vehicular operating command based on the remotely-computed processing result, via an autonomous driving unit of the vehicle or via a tele-driving unit of the vehicle.

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

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

The invention discloses a smart park energy consumption monitoring system based on a wireless network, which relates to the technical field of energy consumption monitoring and comprises an energy consumption acquisition module, a wireless data transmission module, a data processing module and an energy consumption display module. The energy consumption acquisition module is used for collecting water, electricity and gas energy consumption data of different users in the smart park; according to the intelligent park energy consumption monitoring system, the comprehensive intelligent park energy consumption monitoring system is innovatively constructed by integrating the energy consumption acquisition module, the wireless data transmission module, the data processing module, the energy consumption display module and the like, the advanced wireless communication technology is utilized, and the problems that a traditional wired monitoring system is complex in wiring and high in cost are effectively solved; meanwhile, the flexibility and expansibility of the system are improved, the real-time performance and accuracy of energy consumption monitoring are greatly improved through real-time data collection and wireless transmission in combination with an efficient data processing algorithm, and powerful technical support is provided for energy management of the smart park.

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

A remote operation system of a work machine includes a first operation device that transmits a first operation command to the work machine via a first communication system, a second operation device that generates an operation signal for remotely operating the work machine, and a remote controller that generates a second operation command based on the operation signal to output the second operation command to the first operation device via the second communication system.

A radio frequency identification (RFID) system includes an array of antennas to distinguish line-of-sight (LOS) paths from non-line-of-sight (NLOS) paths. The distance between adjacent antennas in the array of antennas is less than half the wavelength of the radio frequency (RF) signal of the system. Each antenna in the antenna array is also digitally controlled to change relative phase difference among the antennas, thereby allowing digital steering of the array of antennas across angles of arrival (AOAs) between 0 and π. The digital steering generates a plot of signal amplitudes as a function of AOAs. LOS paths are distinguished from NLOS paths based on the shapes (e.g., depth, gradient, etc.) of local extremes (e.g., maxima or minima) in the plot.

An interactive gaming system comprising a multiplicity of game access points used by guests to engage with an on-going destination game. Game access points comprise traditional destination activities as well as additional game parts. Gaming guests carry one or more electronic means and are tracked throughout the destination locations and activities. At least one electronic means comprises a visual display for receiving requested directions or a system summons to a game access point. The electronic means comprises a direct view lens system such that the guest looks directly through the electronic means to a destination map or destination scene, where directions are overlaid onto the direct view and registered to the map or scene. The mobile device further comprises a front view camera for capturing images of the guest's direct view of a destination game part, where the image is used as actionable game information.

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 power meter reading concentrator remote upgrading system and method based on a 4G communication module. The system comprises a power meter reading concentrator, a remote server, a management terminal and a security authentication module. The concentrator is internally provided with a 4G communication module and establishes secure communication with a remote server through a 4G network, so that remote upgrade of firmware or software is realized. The system adopts block transmission and breakpoint resume technologies, and it is ensured that the upgrade package can still be efficiently and completely transmitted under the condition that the network is unstable. In the upgrading process, SSL / TLS encryption is adopted for data transmission, and safety is guaranteed; meanwhile, the system has self-checking and rollback functions, and it is ensured that the system automatically recovers to a safe state when upgrading fails. According to the invention, the upgrading and maintenance efficiency of the electric power meter reading system is remarkably improved, the operation and maintenance cost is reduced, and the reliability and safety of the 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.

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

The invention discloses 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.

Systems and methods for monitoring of biometric and contextual variables to assist in screening for, quantification of, and prediction of smoking behavior, and for assisting in smoking cessation are described.

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

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

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

Various analyte sensor systems for controlling activation of analyte sensor electronics circuitry are provided. Related methods for controlling analyte sensor electronics circuitry are also provided. Various analyte sensor systems for monitoring an analyte in a host are also provided. Various circuits for controlling activation of an analyte sensor system are also provided. Analyte sensor systems utilizing a state machine having a plurality of states for collecting a plurality of digital counts and waking a controller responsive to a wake up signal are also provided. Related methods for such analyte sensor systems are also provided. Systems for controlling activation of analyte sensor electronics circuitry utilizing a magnetic sensor are further provided. One or more display device configured to display one or more analyte concentration values are also provided.

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

The invention discloses an electric energy meter data acquisition and analysis method based on an infrared communication technology, and relates to the technical field of intelligent power grids and data analysis, and the method comprises the steps: collecting a data signal transmitted by an infrared port of an electric energy meter, receiving an infrared data signal through an infrared receiving module, and converting the infrared data signal into an electric signal; performing filtering and noise reduction processing on the converted electric signal to obtain filtered electric energy meter data; storing the filtered electric energy meter data into a data cache region according to a time sequence, and grouping and classifying the electric energy meter data in the data cache region according to the number of the electric energy meter; performing feature extraction on the grouped electric energy meter data, and generating a power consumption feature curve in combination with the power consumption; and establishing a power consumption behavior model based on the power consumption characteristic curve, and identifying an abnormal power consumption mode. According to the invention, stable data acquisition is realized through the infrared receiving module, analysis of electricity consumption abnormity is realized in combination with a support vector machine algorithm, and the performance index of an electric energy meter data acquisition and analysis system is comprehensively improved.

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

According to the electric meter intelligent dynamic complementary reading method and device based on big data analysis, the method comprises the steps that historical data are analyzed, the reading data items and the reading priority of an electric meter are intelligently adjusted, task data sets needing complementary reading are combined into a composite task according to requirements, automatic execution is executed in the non-busy time period, and the intelligent dynamic complementary reading efficiency of the electric meter is improved. And the data acquisition efficiency and accuracy are improved. A master station system is used for issuing a configuration scheme and a task to terminal equipment, data items of different electricity meters are sorted, and deep mining and analysis are carried out based on collected data within a past set time (flexible adjustment can be carried out according to specific field requirements); and a set of personalized complementary reading configuration strategy suitable for various ammeters is deeply combed and constructed, so that intelligent dynamic complementary reading is realized. The measure not only effectively guarantees the basic data support of big data processing, but also assists a decision application level to obtain more accurate and effective results.