5067results about "Machine-to-machine/machine-type communication service" patented technology

The invention provides a marine ecological environment influence tracking and monitoring method based on an offshore wind power project, and relates to the technical field of marine ecological environment, and the method comprises the steps: carrying out the ecological risk index calculation based on an obtained multi-modal feature vector, and obtaining ecological risk data, and configuring a space-time sequence based on the preprocessed comprehensive data source and the ecological risk data, and predicting a pollution diffusion path and migration blocking based on the preprocessed comprehensive data source. By introducing a dynamic evaluation model of an ecological risk index and combining time sequence modeling and spatial distribution modeling, dynamic analysis and future trend prediction of the ecological risk are realized, and by generating a risk thermodynamic diagram in real time, identifying a high-risk area and simulating a pollutant diffusion path and a biological migration blocking condition, the risk of the ecological risk can be predicted. According to the invention, the monitoring strategy can be dynamically adjusted according to the real-time monitoring data, a scientific basis is provided for construction optimization and ecological restoration, and the accuracy and timeliness of monitoring and evaluation are improved.

A system for data collection related to a fluid conveyance environment includes a data acquisition circuit comprising inputs and outputs; input sensors to provide sensor data values, coupled to a component in the fluid conveyance environment; and a processor comprising the data acquisition circuit. The processor is configured to determine a data storage profile; responsive to the data storage profile, configure the data acquisition circuit to selectively couple at least one of the inputs to at least one of the outputs; interpret the at least one of the sensor data values; store at least a portion of the at least one of the sensor data values in response to the data storage profile; analyze a set of the sensor data values and determine a data quality parameter; and adjust at least one of the data storage profile and a data collection routine in response to the data quality parameter.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

A drive unit adapted for use in farm equipment includes a first transceiver and a processing module. The processing module is configured to receive first data from the farm equipment, including sensor data and / or controller data, and integrate the received first data with additional second data indicating an agricultural prescription for a geographic region to form agricultural data. The processing module is also configured to apply one or more spatial filter constraints and temporal filter constraints to the agricultural data and then compute, from the filtered agricultural data, a difference between actual execution of one or more parameters of the agricultural prescription and expected execution of the one or more parameters. The processing module is further configured to, when the difference exceeds a predefined stored threshold, autonomously generate and transmit to a remote computing device, a settings alert to thereby trigger generation of an updated agricultural prescription.

The invention relates to the technical field of terminal monitoring, in particular to an intelligent security terminal collaborative monitoring system with edge computing capability. Comprising a multi-mode sensing unit; the edge calculation processing unit is used for distributing CPU and FPGA operation tasks by using a dynamic characteristic distillation technology and a hardware load feedback technology on the basis of multi-mode perception data; a distributed cooperative communication unit; and an intelligent decision-making unit. Visual, voiceprint and environmental physical signals of a security area are collected through the multi-modal sensing unit, unified time stamps and spatial coordinate association are added for multi-dimensional signals by means of the data synchronization module, and cooperation of the feature distillation module and the model optimization module in the edge calculation processing unit is combined. According to the method, multi-modal features are mapped to a unified feature space, high-value features are screened, and redundant convolution kernels are identified and removed, so that effective cooperative processing of multi-modal security and protection data can be realized, and the processing efficiency of edge-side sensing data is improved.

A system includes a distributed ledger storing one or more smart contracts; one or more 5G small cells, each having one or more antennas mounted on a housing, each small cell sending packets of data trackable with the distributed ledger; and a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component in at least one of an industrial boiler system or industrial pipeline system; a data storage structured to store a library of stored noise patterns associated with operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to: analyze the collected data, determine a measured noise pattern for the at least one industrial component, and compare the measured noise pattern to the library of stored noise patterns to identify a changed condition of the at least one industrial component.

Some embodiments of this disclosure include systems, apparatuses, methods, and computer-readable media for use in a wireless network for communicating data over control plane in a 5G system. For example, some embodiments are directed to a user equipment (UE). The UE includes processor circuitry and radio front end circuitry. The processor circuitry can be configured to transmit, using the radio front end circuitry, a first message for connecting to a 5G network and indicating a capability of the UE relating to Cellular Internet of Things (CIOT). The processor circuitry can be further configured to transmit, using the radio front end circuitry and via a control plane to the 5G network, a second message comprising mobile originated data. The processor circuitry can be further configured to receive, using the radio front end circuitry, a third message from the 5G network.

The invention discloses an intelligent water meter operation monitoring method and system based on the Internet of Things, and relates to the technical field of intelligent water meters. According to the method, a disturbance consistency scoring index Ipd and a behavior map variation score Simv are constructed, and a multi-parameter coupling backtracking risk grade scoring function Rtrace is introduced; the disturbance sudden change intensity, the period stability, the flow direction consistency and the historical behavior deviation degree can be comprehensively considered, and the recognition precision of the unnatural disturbance water flow and the potential abnormal water consumption behavior is effectively improved. Particularly, under the condition that disturbance abnormity and behavior map abnormity are coupled, secondary comparison evaluation is carried out on a backtracking risk grade scoring function Rtrace and a risk interval threshold value, so that risk judgment and risk grade division with higher distinction can be realized, illegal water taking, backflow and backward flow and other abnormal water consumption behaviors can be accurately locked under the condition of a low misjudgment rate, and the accuracy and the reliability of the system are improved. And the intelligent sensing capability and the behavior modeling reliability of the urban water supply system are enhanced.

The present application relates to devices and components including apparatus, systems, and methods for internal routing of personal Internet of things network communications.

The invention relates to the technical field of electrical equipment management, and particularly discloses a building electrical equipment intelligent monitoring method and system based on the Internet of Things, and the method comprises the steps: laying a sensor network in a building, and enabling the sensor network to be installed at the electrical equipment and corresponding environment monitoring points in the building, the data acquisition module is used for acquiring related data of electrical equipment and building environment in real time; an edge computing node is established in a sensor network or at an equipment end and is used for carrying out primary processing on data acquired in real time and transmitting the processed data to a cloud platform through a wireless communication technology; by deploying the sensor network and the edge computing node, real-time data acquisition, processing and analysis of the electrical equipment and the building environment are realized, and by adopting the adaptive data fusion algorithm, the deep neural network model and the global optimization decision engine, the running state of the electrical equipment can be dynamically monitored, and the real-time monitoring of the building environment can be realized. And intelligent regulation and control and energy efficiency optimization management can be carried out according to the equipment state and the building energy efficiency target.

The present disclosure relates to communication methods, apparatus, devices, space-based platforms, and storage medium. In one example method, a space-based platform establishes, based on a preset time rule, a communication connection with a machine type communications (MTC) device located in a first area. After the communication connection is established, the MTC device sends first information to the space-based platform, so that the space-based platform sends the first information to a communications device located in a second area.

The invention provides a communication method and a communication device. The method comprises: a transmitting end device receives a first message from a receiving end device through a router, the first message comprising a first field for representing the signal strength of the receiving end device, and further comprising a second field for representing the signal strength of the router. And the sending end equipment determines the distance between the receiving end equipment and the router according to the first field, determines the distance between the router and the sending end equipment according to the second field, and establishes signaling connection with the receiving end equipment through the local area network when the two distances meet a certain condition. And when the distance between the transmitting end equipment and the receiving end equipment meets a certain condition, establishing data connection with the receiving end equipment in a point-to-point manner. According to the communication method and the communication device, the success rate of establishing the signaling connection by the electronic equipment through the local area network can be ensured as much as possible, and the success rate of establishing the data connection in a point-to-point manner can be ensured as much as possible.

Methods and systems for identifying AUSF and accessing related keys in 5G ProSe. The AUSF corresponding to a remote UE is identified by an AMF based on routing indicator or SKI. The AUSF is capable of key management of ProSe UE-to-Network relay communication. The AUSF authorizes the remote UE to access a 5G core network through one or more UE-to-network relays. The authorization of the remote UE is performed based on a SUPI corresponding to the remote UE. The SUPI is obtained from a UDM. Once the remote UE is authorized, the AUSF can derive keys that enable the remote UE to access the 5G core network through the one or more UE-to-network relays. The keys derived by the AUSF 803 can be referred to as authentication keys. The derived keys include REAR key, KNR_ProSe, KD, and KNRP.

Various aspects of the present disclosure relate to methods and apparatuses for bidirectional ambient internet of things (A-IoT) communication. According to an embodiment of the present disclosure, an A-IoT reader includes at least one memory and at least one processor coupled to the at least one memory and configured to cause the A-IoT reader to: transmit, to an A-IoT device, a message including information related to a resource used for device to reader (D2R) transmission; and receive a D2R transmission of the A-IoT device from another A-IoT reader, wherein the D2R transmission is transmitted from the A-IoT device to the another A-IoT reader via the resource used for D2R transmission.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a terminal in a wireless communication system is provided. The method includes identifying whether a packet data convergence protocol (PDCP) entity is suspended in case that the PDCP entity re-establishment is requested from an upper layer, identifying whether an indicator is configured for indicating that an uplink data compression (UDC) is continuously used and a PDCP service data unit (SDU) is compressed, for an acknowledged mode (AM) data radio bearer (DRB) whose the PDCP entity is not suspended, and submitting the PDCP SDU, in case that the indicator is configured for indicating that the UDC is continuously used and the PDCP SDU is compressed.

The invention belongs to the technical field of information and communication, and relates to an active user detection and data decoding method of an asynchronous massive machine type communication system. Aiming at the problem that the detection and estimation performance is reduced due to unknown user time delay in asynchronous transmission, the method comprises the following steps: initial estimation and preprocessing: detecting initial active users and transmission time delay thereof through correlation peaks, and whitening received signals; the iterative joint detection and channel estimation module is used for iteratively updating channel information and data symbol information for multiple rounds based on a factor graph and a message passing algorithm; the data decoding module is used for decoding data based on a soft decision device; the detection and decoding performance is improved by transmitting external information among the modules; and the time delay parameter updating adopts a greedy search algorithm to obtain the optimal time delay. According to the method, the active user detection rate, the channel estimation precision and the data decoding accuracy under the condition that the receiving and transmitting ends are completely asynchronous are improved.

A system includes an expert graphical user interface configured to: present a list of reliability measures of an industrial machine, facilitate a selection by a user of a reliability measure from the list of reliability measures, present a representation of a smart band data collection template associated with the reliability measure selected by the user, and a data routing and collection system configured to, in response to a user indication of acceptance of the smart band data collection template, collect data from a plurality of sensors in an industrial environment in response to a data value from one of the plurality of sensors being detected outside of an acceptable range of data values.

The invention relates to the technical field of artificial intelligence and Internet of Things equipment, and discloses an AI (artificial intelligence) agent personality switching method based on NFC (near field communication) identification, which realizes dynamic switching of AI agent personality in a physical mode, and comprises the following steps: S1, an equipment end obtains and decrypts an NFC label signal of an agent; s2, the equipment end obtains an AI virtual role ID corresponding to the intelligent agent according to the decryption information, and sends a request parameter to a cloud server; s3, the cloud server obtains personality configuration of the intelligent agent from a role database of the cloud server according to the request parameters and returns the personality configuration to the equipment end, wherein the personality configuration comprises an image, voice tone, speed, tone, role background, story index information and a knowledge template; and S4, the device side updates and switches the personality state corresponding to the intelligent agent according to the personality configuration, and performs voice interaction with the user according to the current personality state parameter. The invention further discloses an AI agent personality switching device for implementing the AI agent personality switching method.

The invention relates to the technical field of power internet of things, in particular to a broadband / narrowband self-adaptive switching power internet of things communication system and a control method, which intelligently identify the priority and quality of service (QoS) requirements of different services by collecting network states, terminal states and service flow data in real time. And an optimal communication mode switching strategy is dynamically generated based on a pre-trained machine learning model, seamless switching of broadband and narrowband communication links is realized, and the decision accuracy is continuously improved through a feedback optimization mechanism. According to the method, the problems that a traditional electric power Internet of Things communication mode is fixed and single and cannot intelligently adapt to services and network states are effectively solved, the system communication reliability is remarkably improved, the transmission time delay and energy consumption are reduced, and high-adaptability and high-reliability intelligent communication guarantee in a complex electric power scene is achieved.

In various examples, systems and methods described herein may cause a machine to establish a network connection with a network access device based at least on map data indicating to use the network access device for network connectivity at a location of the machine. In some examples, the map data may be generated based at least on one or more network performance scores associated with one or more network access devices disposed in the environment. In some instances, the network performance score(s) may be determined based at least on one or more wireless network signals transmitted by the network access device(s) and obtained using the machine and / or another machine. The network performance score(s) may, in some examples, be indicative of a signal strength associated with the network access device(s) at the location of the machine.

Some embodiments described in this disclosure are directed to displaying additional controls and / or information when an input device such as a stylus is hovering over a user interface displayed by an electronic device. Some embodiments described in this disclosure are directed to providing feedback about the pose of an input device relative to a surface. Some embodiments of the disclosure are directed to performing contextual actions in response to input provided from an input device. Some embodiments of the disclosure are directed to providing handwritten input for conversion into font-based text using an input device.

This application provides an information transmission method and a communications device. The method includes: generating, by a terminal device, a hybrid automatic repeat request-acknowledgment HARQ-ACK codebook corresponding to an ith time domain interval, where the ith time domain interval is any one of N time domain intervals of one slot, i is less than or equal to N, i is a positive integer, and N is a positive integer greater than 1; determining, by the terminal device, a physical uplink control channel PUCCH resource corresponding to the HARQ-ACK codebook; and sending, by the terminal device, the HARQ-ACK codebook on the PUCCH resource.

The present disclosure provides a communication method, a communication apparatus, a computer-readable storage medium and a computer program product. The communication method comprises: sending an ambient power enabled Internet of Things (AIoT) instruction to N readers among at least one reader, wherein the N readers are determined on the basis of information of at least one reader and / or information of a target device, and the target device is a device adapting to the N readers. The solution provided by the present disclosure is beneficial for improving the success rate of communication between a reader and a target device, and improving the transceiving reliability.

The invention provides a mobile terminal self-adaptive reminding method and system in a severe cold environment. The method comprises the following steps: acquiring interference signal characteristics, severe cold environment characteristics and operation data; obtaining a communication strategy according to the severe cold environment characteristics and the interference signal characteristics; integrating the communication strategy and the operation limited type to configure a reminding strategy; the configuration communication module reconstructs a communication link; and according to a reminding module configured according to the reminding strategy, self-adaptive reminding is realized, and the linkage equipment is utilized to assist in judging whether the user receives message reminding or not. Through linkage design of the mobile terminal and the linkage equipment, fluctuation problems of signal attenuation, clutter interference and the like in a severe cold environment are continuously adapted, sensing obstruction of cold-proof equipment is effectively broken through, link interruption is avoided, key information transmission is guaranteed, and the service life of the cold-proof equipment is prolonged. The balance between the accuracy and reliability of the reminding function of the mobile terminal in the severe cold environment and the cruising ability of the equipment is realized, and the practical performance of the mobile terminal in the severe cold environment and the use experience of a user are remarkably improved.

This application provides a communication method and apparatus. In one example, a communication system includes a first communication apparatus, and a first relay communication apparatus; where the first communication apparatus is configured to: send a first quality of service (QoS) parameter to the first relay communication apparatus, wherein the first QoS parameter indicates a QoS requirement for sending a first service from the first communication apparatus to a second communication apparatus, and the first relay communication apparatus is a relay communication apparatus between the first communication apparatus and the second communication apparatus; the first relay communication apparatus is configured to: receive the first QoS parameter, determine a second QoS parameter based on the first QoS parameter, and the first communication apparatus is further configured to: receive the second QoS parameter.

Various aspects of the present disclosure relate to communication based on an access stratum (AS) identifier (ID) of a device, such as, an ambient Internet of things (IoT) device. In a solution of the disclosure, a first device transmits, to a second device, a reader to device (R2D) message comprising a first AS ID for scheduling communication with the second device. A second AS ID obtained at the second device and the first AS ID are used by the second device to determine whether the R2D message is targeted to the second device.

Methods, systems, and devices for wireless communications are described. Some wireless communications systems may support power control for energy providing devices and energy harvesting devices. For example, a wireless device may receive a first control signal indicating a set of energy transfer power control schemes, for an energy providing wireless device, or a set of data transfer power control schemes, for an energy providing wireless device. Additionally, the wireless device may receive a second control message activating a first energy transfer power control scheme or a first data transmission power control scheme, respectively. The wireless device may communicate, to one or more additional wireless device, a scheduling message scheduling transmission of an energy transfer signal or a data message, respectively, and may transmit the energy transfer signal or the data message in accordance with the first energy transfer power control scheme or the first data transmission power control scheme.

The present invention discloses a method for evaluating the healthy operation of an unmanned aerial vehicle (UAV) based on digital twin. First, relevant data of the UAV is obtained to construct a digital twin model of the UAV. Then, the relevant data of the UAV is cross-fused and iteratively fed back to fuse the relevant data of the UAV with the digital twin model of the UAV, and a digital twin health management and control platform for the UAV is constructed. Based on the platform, fault diagnosis and prediction are carried out on the operation process of the UAV, health assessment parameters are output and analyzed, the operation state of the UAV is visualized in the digital twin health management and control platform for the UAV, and decisions are made on the health assessment of the UAV. The method for evaluating the healthy operation of the UAV provided by the present invention truly displays the UAV in the physical environment in a virtual environment, can quickly and intuitively show the healthy operation status of the UAV, so as to make a health assessment in time and reduce corresponding losses. Through data interaction and feedback, the real situation of the UAV is accurately displayed, and the maintenance cost is saved.

The invention discloses a secure communication method for eavesdropping a D2D relay NOMA network. The communication process has two time slots; in the first time slot, the information source equipment sends an NOMA signal, and the multi-antenna relay equipment selects one antenna to send an interference signal to resist eavesdropping attack; in the second time slot, the relay equipment adopts the digital network coding technology to mix the interference signal of the first time slot and the decoded information source message, then adopts the NOMA technology to construct a novel NOMA signal, and re-selects one antenna to send the NOMA signal, and meanwhile, the information source sends another interference signal to weaken the eavesdropper; the NOMA user equipment and the eavesdropper calculate a required signal-to-noise ratio and a required signal-to-interference-and-noise ratio, and calculate a system outage probability and an eavesdropping probability; according to the invention, the two NOMA users can realize physical layer security communication in the D2D network, and the security of the physical layer is far better than that of a security communication scheme based on non-cooperative interference and a traditional security communication scheme based on cooperative interference.