1329 results about "Status report" patented technology

The invention relates to the technical field of the Internet of Things, and discloses a machine room equipment environment monitoring method and system based on the Internet of Things, and the method comprises the steps: constructing an edge calculation hardware system of the Internet of Things to obtain an integrated terminal which integrates a communication unit, an acquisition unit and a control unit; performing multi-channel parallel acquisition and edge calculation analysis on equipment and environment parameters in the machine room to obtain a standard data tuple and an analysis data packet; executing local hierarchical storage and logic control to obtain a control instruction and storage data; executing three-layer network communication interaction on the storage data to obtain a remotely accessible monitoring view; according to the method, intelligent alarm and system self-maintenance are achieved, graded and classified alarm information and a system state report are obtained, the data transmission amount is greatly reduced, meanwhile, the system response delay is reduced, the control decision accuracy is improved, and the misoperation risk is reduced.

The invention discloses an operating room intelligent monitoring method and system based on monitoring video recognition, and relates to the technical field of medical safety supervision, and the method comprises the steps: collecting a video through an operating room camera array, and constructing an operation region panoramic sequence through a residual neural network and an optical flow field; a double-branch target detection network is adopted to extract the position of a medical worker, the body position of a patient and the characteristics of surgical instruments, and a surgical scene model is constructed; performing trajectory tracking based on skeleton key point extraction and Kalman filtering, and constructing a dynamic graph of the operation process; generating an operation process state report by using the time sequence diagram convolutional network and a multi-head attention mechanism; and comparing the operation specification library through a knowledge distillation algorithm, and carrying out grading recording on abnormal events. According to the invention, efficient abnormal event tracking and recording functions are realized, technical support is provided for operation quality control and safety management, and the overall performance of operating room intelligent monitoring is improved.

The invention discloses an electric power cabinet comprehensive monitoring method and system based on multiple sensors and a power distribution cabinet, and relates to the technical field of sensor monitoring. During operation of the system, various sensor data are collected from an electric power cabinet and the surrounding environment of the electric power cabinet, and electromagnetic environments, equipment states and environmental parameters inside and outside the electric power cabinet are monitored in real time; the method comprises the following steps: preprocessing original sensor data through a signal filtering algorithm, extracting feature information related to electromagnetic interference (EMI) from the processed data, calculating and obtaining an EMIindex through a machine learning algorithm, performing state evaluation and fault prediction on equipment in the power cabinet, providing early warning of fault types and giving maintenance suggestions, when the electromagnetic interference intensity exceeds the standard or an equipment fault occurs, a real-time alarm signal is automatically triggered through an intelligent judgment mechanism, a system self-adaptive control mechanism is started, an electromagnetic environment index and an equipment state report are generated, and remote monitoring is carried out on the electric power cabinet.

The invention relates to a data hierarchical caching and intelligent continuous transmission method and device in an off-network environment, and the method comprises the steps: obtaining to-be-transmitted data, carrying out the hierarchical evaluation based on the importance degree and timeliness of the data, and obtaining a corresponding priority data group; monitoring a network bandwidth state in real time, recording an interruption moment and triggering a hierarchical cache mechanism when network interruption is detected, and setting a corresponding storage area; distributing the priority data group to a corresponding storage area for caching to obtain a final cache area; when network recovery is detected, intelligent continuous transmission is performed on the priority data set according to the cache region, and a continuous transmission report is generated; detecting a network bandwidth state in real time, performing dynamic continuous transmission adjustment on the priority data set, and marking the priority data set after continuous transmission is completed to obtain a marked data set; and performing integrity verification on the marked data group, and generating a transmission state report in combination with the continuous transmission report. The method can adapt to different network environments and data transmission requirements.

Embodiments of the subject application relate to methods and apparatuses for a delay status report associated with a protocol data unit (PDU) set. According to an embodiment of the subject application, a user equipment (UE) includes a processor and a transceiver coupled to the processor, and the processor is configured to: determine delay information associated with one or more protocol data unit (PDU) sets received from an upper layer of the UE, wherein the delay information includes at least one of: a remaining PDU set delay budget; a PDU set buffer delay; a PDU set delay budget offset; or first timing when receiving a PDU within the one or more PDU sets from the upper layer; and transmit a report including the delay information, wherein the report is at least one of: a delay budget report (DBR); a delay report (DR); an arriving timing report (ATR); or an enhanced buffer status report (EBSR).

The invention discloses a building health state detection system, and relates to the technical field of photogrammetry and image processing, the system firstly obtains four-dimensional space-time coordinate data of a plurality of monitoring points on a target building based on satellite image analysis, constructs a four-dimensional space-time network model containing spatial topology and time sequence evolution information according to the four-dimensional space-time coordinate data, and then obtains a four-dimensional space-time network model containing space topology and time sequence evolution information; the system maps network model nodes to a predefined standard reference network associated with a local gravity direction, then, the system analyzes dynamic relevance in the four-dimensional network model by adopting a graph self-attention network, and meanwhile, calculates relative relation changes of monitoring points relative to the predefined standard reference network through geometric analysis; the deformation interpretation module distinguishes and determines internal relative deformation, overall displacement and absolute posture change (including settlement and inclination) of the building according to the two types of analysis results and by referring to surrounding environment information, and the state evaluation module integrates the information to generate a health state report containing risk levels.

The invention relates to the technical field of power distribution networks, in particular to an environment-related intelligent regulation and control method and system for a power distribution network, and the method comprises the steps: obtaining the operation parameters of each monitoring node of the power distribution network, and enabling the operation parameters to comprise node state parameters and external environment parameters; based on the operation parameters, calculating time correlation between the node change characteristics and the environment data, and generating a node operation state report; identifying an abnormal event according to the node operation state report, and determining an abnormal influence range based on time distribution, space distribution and fluctuation characteristics of the abnormal event; according to the abnormal influence range, the load state of the node is evaluated, the emergency response priority is determined based on the influence weight of the node in the network, and a load regulation and control strategy is generated; and executing a load regulation and control strategy, dynamically adjusting node power supply capability, distributing standby power source resources, monitoring load change in real time, completing intelligent regulation and control of the power distribution network, and realizing accurate monitoring and intelligent regulation of the operation state of the power distribution network.

Various example embodiments relate to method and apparatus for quality of experience reporting continuity. A terminal device may be configured to perform Quality of Experience, QoE, measurement on a service received via a source network device, and upon detection of an indication indicative of a mobility procedure for handing over the terminal device from the source network device to a target network device for the service, transmit, during or after the mobility procedure, to the target network device a buffer status report associated with a buffer for storing one or more QoE measurement reports.

Methods, systems, and devices for wireless communications are described that support uplink reporting techniques for multi transmission-reception point (TRP) transmissions. Various reporting configurations may be provided that allow for user equipment (UE) communications via multiple concurrent wireless connections with multiple TRPs. A UE may identify a reporting configuration and transmit a report (e.g., a buffer status report (BSR) or a power headroom report (PHR)) to one or more of the TRPs based on the identified reporting configuration. The multiple TRPs may have non-ideal backhaul connections and the reporting configuration may allow the UE to transmit separate reports to different TRPs. The different TRPs may then use the separate reports for corresponding communications with the UE. In cases where shared radio frequency spectrum is used for communications, a single channel access priority class (CAPC) for multiple TRPs may be determined for a contention-based channel access procedure.

The invention relates to the technical field of information data processing, in particular to a building engineering project data processing system, which comprises a resource demand analysis module, an engineering project-based human resource management and material demand plan, man-hour record and material inventory data collection module, timetable and resource use record arrangement module, resource utilization rate and gap calculation module and a data processing module, a resource status report is generated, and a resource supply status and potential shortage are determined based on the resource status report. According to the invention, through comprehensive data collection and dynamic analysis, the resource management efficiency of the construction engineering project is improved. Updating resource utilization rate and gap information in real time allows for fast and accurate response to resource changes, reducing resource waste and project delay risks. The resource allocation efficiency and the cost simulation ensure that the resource use reaches the optimal economic benefit, and meanwhile, the capability of the project for adapting to uncertain factors is improved. Time conflicts in resource allocation are reduced through risk assessment, and the continuity of project execution is optimized.

The invention discloses an intelligent hardware equipment monitoring method based on the Internet of Things, which comprises the following steps of: acquiring data such as sensor signals, temperature power consumption of a processor, voltage and current of a power supply module and the like in real time, processing the data by applying technologies such as a filtering algorithm, a causal inference model and time sequence analysis and judging the performance change of a component; and inputting the processed data into a pre-training regression model, predicting the residual life of each component and generating a health score, integrating the health scores of each component, introducing a dynamic correlation analysis and adaptive weight adjustment mechanism, constructing a system-level health state report, and generating a priority maintenance plan for high-risk components based on the report. Intelligent evaluation and prediction of the health state of the hardware component are realized, interruption of operation of the monitoring system due to hardware faults is effectively avoided, and the reliability and maintenance efficiency of the system are improved.

Various aspects of the present disclosure relate to buffer status reporting for extended reality service. An apparatus is configured to receive an indication of whether a first buffer status report (“BSR”) format is usable. In response to the indication indicating that the first BSR format is usable, determine a buffer size based on a first table that comprises buffer size levels corresponding to a first buffer size field. In response to the indication indicating that the first BSR format is not usable, determine the buffer size based on a second table that comprises buffer size levels corresponding to a second buffer size field, and transmit the BSR.

The invention discloses an intelligent PCB sorting process and system based on an unmanned factory, and the process comprises the steps: obtaining surface images and internal structure parameters of PCBs in real time through an image collection module and a scanning module on sorting equipment, and generating a standardized feature data set; the lightweight classification model performs classification and quality grade division on the PCBs in combination with a process grade judgment rule, and dynamically allocates sorting priorities based on MES system order demands to generate a task queue; the path planning algorithm calculates the optimal grabbing path of the mechanical arm and the AGV conveying path according to the priority queue, and a sorting instruction set is formed and issued to the execution unit through the industrial communication network; the mechanical arm completes PCB grabbing and placing operation according to the instruction, and meanwhile, the visual verification module detects a sorting result in real time and outputs a sorting state report and quality data; according to the process, high efficiency, accuracy and unmanned operation of PCB sorting are realized through automatic data acquisition, intelligent classification decision and a closed-loop optimization mechanism.

This disclosure provides methods, components, devices and systems for enhanced downlink and uplink scheduling based on assistance information related to PDCP status reports. Some aspects specifically relate to a wireless communication system including a disaggregated base station architecture in which a CU provides a DU assistance information related to PDCP status reports from which assistance information the DU may determine appropriate downlink or uplink scheduling start timing for a UE. In some examples, the DU obtains from the CU assistance information indicating an unreceived PDCP SDU at a UE or the CU, and sends downlink data or an uplink grant to the UE based on the assistance information. The CU may deliver the downlink data to the DU prior to sending the assistance information or obtain uplink data from the DU after sending the assistance information. Duplication of PDCP SDU transmissions and unnecessarily extended scheduling delays may thus be minimized.

The embodiment of the invention provides a delay state report DSR transmission method, communication equipment and a storage medium. The DSR transmission method performed by a UE may include transmitting a delay status report (DSR) to a network device; the DSR comprises at least one reporting domain associated with a time interval; one report domain at least comprises a buffer size BS value; the BS value is used for indicating the data volume of a protocol data unit PDU of which the remaining time length is within the time interval.

A wireless transmit / receive unit (WTRU) may receive predictive buffer status report (BSR) configuration information. The predictive BSR configuration information may include information indicating an associated time frame and at least one triggering condition. The WTRU may predict an amount of uplink (UL) traffic corresponding to the associated time frame. The WTRU may predict BSR configuration information. The WTRU may determine that at least one triggering conditions has been met. The WTRU may send a predictive BSR, the predictive BSR comprising an indication of the predicted amount of UL traffic.

Embodiments of this application provide a wireless communication method and a device. The wireless communication method includes: sending, by a first station, a first BSR to a second station, where the first BSR includes at least first status report information, and the first status report information is buffer status report information based on urgency of to-be-transmitted data.

A communication method and a related device relate to the technical field of communication. The method comprises the following steps: the terminal equipment determines whether first data in a logic channel group has delay data or not, and further dynamically associates a target threshold value based on whether the delay data exists or not. The terminal equipment sends a resource request message, the resource request message is used for requesting to configure resources for the first data, and the resource request message comprises a target threshold value associated with the first data. The target threshold value is used for a receiver of the resource request message, such as a network device, to determine the sending opportunity of the DSR report. According to the method, the sending opportunity of the delay state report can be dynamically adjusted, and redundant signaling is reduced.

The invention relates to the technical field of satellite network communication, and discloses a multi-source multi-path scheduling method for remote sensing data transmission, which comprises the following steps of: firstly, establishing an index table for remote sensing data by using a space-time name formed by a service type, an acquisition area, acquisition time, a node identifier and a data category; and the controller analyzes time and space constraints in the request, selects a plurality of source nodes meeting conditions from an index table, calculates priorities according to parameters such as residual bandwidth, round-trip delay and packet loss rate, and selects a plurality of non-overlapping high-quality paths. And then adding a service type, a path number, a path state report and a flow proportion field in the interest packet and the data packet, so that the source node sends segmented data in parallel according to a preset proportion. And the forwarding node reports the link change in real time, and the controller dynamically adjusts the path set and the shunt weight, thereby ensuring that the high-bandwidth and low-delay data transmission performance is continuously obtained in a topology and load rapid change scene.

A method performed by an integrated access backhaul (IAB) node in a wireless communication system is provided. The method comprises: receiving, from a base station, configuration information regarding an uplink (UL) grant, receiving, from the base station, configuration information regarding backhaul (BH) radio link control (RLC) channel via higher layer signaling, identifying, based on the configuration information regarding BH RLC channel, whether an extended logical channel identifier (eLCID) is used, in case that the eLCID is not used and a UL grant size is equal to or larger than a first size, not transmitting only a padding buffer status report (BSR) or not transmitting only padding or not transmitting only the padding BSR and the padding, and in case that the eLCID is used and the UL grant size is equal to or larger than a second size, not transmitting only the padding BSR or not transmitting only the padding or not transmitting only the padding BSR and the padding.

Incident data associated with an incident are obtained. A set of reportable criteria related to the incident are obtained. A subset of the reportable criteria described in the incident data are identified using one or more classifiers. A summarization request is transmitted to a language model. The summarization request includes the subset of the reportable criteria and the incident data. An incident status report received from the language model in response to the summarization request is transmitted to one or more users.

A communication device in a network can receive a buffer status report (“BSR”) format configuration from a network node. The BSR format configuration can specify dynamic BSR table parameters to use for reporting a BSR to the network node. The communication device can further determine a BSR table based on the dynamic BSR table parameters. The communication device can further determine the BSR based on the BSR table. The communication device can further transmit the BSR to the network node.

The method of data-driven AI / ML model signaling for ML status reporting with machine learning model operation in wireless mobile communication system including base station (e.g., gNB) and mobile station (e.g., UE) is described, furthermore the mapping relationship is measured for different types of model operation between network and UE so that this measurement can be applied to varying applications with priority index for ML status update based on prioritization.

An uplink resource processing method is provided. A user equipment (UE) requests uplink resources from a gNB by sending a delay-contained buffer status report to the gNB or obtains from the gNB an indication of uplink resources allocated by the gNB, or the UE allocates the uplink resources to logical channels (LCHs) with delay information during a logical channel prioritization (LCP) procedure.

A method and apparatus for XR services is provided. The method for supporting XR services includes receiving from a base station a RRCReconfiguration message that comprises a parameter for delay status report and transmitting to the base station a Medium Access Control (MAC) Control Element (CE) for delay status report in case that a specific condition is fulfilled for the specific LCG. The MAC CE comprises a bitmap related to a plurality of LCGs and delay status for the specific LCG. The delay status comprises a first set of delay status fields and a second set of delay status fields. The first set of delay status fields comprises a buffer size field indicating amount of a first set of data units. The second set of delay status fields comprises the buffer size field indicating amount of a second set of data units.

Provided are a method and device for effectively processing application service data. The method of UE may include receiving an RRC message including information for configuring and transmitting a discard status report indicating a gap of a PDCP sequence number as a PDCP SDU is discarded, controlling to compile the discard status report in an event that the discard status report is triggered by discarding one or more PDCP SDUs, and transmitting the discard status report, and a device.

The invention relates to the technical field of Internet of Things, and discloses a remote diagnosis system and method for a complex system in an Internet of Things environment, and the system comprises a data collection module which is used for collecting the operation state information of the complex system; the data transmission module is used for transmitting the running state information to the cloud processing center; the cloud processing center is used for performing fault analysis according to the received operation state information based on a machine learning algorithm, generating a fault diagnosis result and a corresponding maintenance suggestion and transmitting the fault diagnosis result and the corresponding maintenance suggestion to the user terminal; and the user terminal is used for receiving the fault diagnosis result and the maintenance suggestion, remotely accessing the system state report of the complex system and remotely controlling the complex system. According to the invention, efficient remote monitoring, accurate fault diagnosis and real-time maintenance guidance of the complex system in the Internet of Things environment can be realized, the maintenance cost is reduced while the maintenance efficiency is improved, and thus the maintainability and safety of the complex system are enhanced.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication to transmit a packet based at least in part on receiving a packet data convergence protocol (PDCP) status report during an active state of a timer, or based at least in part on an expiration of the timer. The UE may transmit the packet based at least in part on the indication. Numerous other aspects are described.

The embodiment of the invention provides a DSR transmission method, communication equipment and a storage medium. The DSR transmission method executed by the UE can comprise the following steps: when at least one first type of data exists in a protocol data packet PDU set, sending a delay state report DSR of the PDU set to network equipment; the PDU set further comprises a second type of data; the remaining duration of the second type of data is greater than the remaining duration of the first type of data; the remaining duration of the second type of data is located in a first interval; the first interval associated data volume of the DSR comprises the data volume of the first type of data.