48 results about "Remote analysis" patented technology

The invention provides an internal medicine multi-parameter real-time remote monitoring system based on the Internet of Things, and belongs to the technical field of remote monitoring, the internal medicine multi-parameter real-time remote monitoring system comprises an integrated data acquisition terminal, a heterogeneous network communication module, an intelligent remote analysis server and a user interaction terminal, and the integrated data acquisition terminal adopts a medical grade flexible wearable design. According to the internal medicine multi-parameter real-time remote monitoring system based on the Internet of Things provided by the invention, the efficiency of remote monitoring of internal medicine diseases is remarkably improved through multi-dimensional technical innovation. On the data processing level, efficient fusion and stable transmission of multi-source data are achieved, and the real-time performance and integrity of monitoring data are guaranteed; in an analysis level, a specialized deep neural network model is combined with environmental factors, so that the accuracy of health state assessment and risk prediction is greatly improved; according to the application level, through a personalized rehabilitation scheme, intelligent early warning and remote equipment management, the medical service process is optimized, and patient compliance and medical cooperation efficiency are improved.

The invention relates to the technical field of remote monitoring, and discloses a smart medical remote service method and system based on big data and an AI algorithm, and the method comprises the steps: obtaining a medical demand of a target patient, constructing a heterogeneous medical terminal of the target patient, collecting the multi-dimensional physiological data of the target patient through the heterogeneous medical terminal, and transmitting the multi-dimensional physiological data to the server; the relevance between the multi-dimensional physiological data and the medical requirements is analyzed; mining associated data of the multi-dimensional physiological data, and establishing a patient sub-map of the target patient; related substructures of the patient subgraphs in the evolutionary knowledge graph are analyzed, graph parameters of the related substructures are output, and the graph parameters comprise entity association features, time sequence evolution features and grade labels; and analyzing the remote service parameters of the target patient under the medical remote service to execute the medical service of the target patient. According to the invention, the accuracy of remote analysis of the patient can be improved.

The invention relates to the technical field of glucometers, and discloses an intelligent multifunctional glucometer supporting data cloud storage and remote analysis, which comprises hardware, detection, data processing, wireless communication, a cloud server platform and an interactive terminal module to form a complete data closed loop. The hardware module is composed of an upper shell and a lower shell which are clamped, and the upper shell is provided with a detection port, an operation button and anti-skid lines. The detection module is integrated with an electrochemical sensor array and can synchronously detect blood glucose, uric acid, ketone body and blood fat. The data processing unit processes data in real time to generate a health report, and the wireless communication module supports multi-mode communication and encrypted transmission. The cloud platform stores data and outputs suggestions through machine learning, and the interactive terminal supports biological recognition and voice broadcast. The modules cooperate to realize multi-index detection, cloud analysis and intelligent interaction. The system has the advantages of multi-index synchronous detection, data security intelligent analysis and convenient interaction, and supports data cloud storage and remote analysis.

The invention relates to the technical field of data processing, and discloses a cooling device energy-saving control method and system based on remote analysis. The method comprises the following steps: installing a sensor to obtain and pre-process operating parameters to obtain system state data; load prediction is carried out in combination with historical records; optimizing water pump parameters based on the predicted value, and generating frequency conversion control parameters; establishing a temperature difference control standard to obtain a differential target value; calculating a water pump cooperative operation scheme to form a group control instruction; parameters are evaluated and adjusted in real time, and an energy-saving control strategy is optimized. The technical problems that an existing cooling device control method lacks the load prediction capacity based on historical data analysis, a differential temperature difference control strategy and a multi-water-pump collaborative optimization mechanism are solved, efficient and energy-saving operation of the cooling device is achieved by establishing an intelligent control system based on remote analysis, and energy consumption is remarkably reduced.

The application relates to the technical field of data processing, and discloses a cooling device energy-saving control method and system based on remote analysis. The method comprises the following steps: installing a sensor to obtain operation parameters and preprocessing to obtain system state data; load prediction is performed in combination with historical records; water pump parameters are optimized based on the predicted value to generate variable frequency control parameters; a temperature difference control standard is established to obtain differentiated target values; a water pump cooperative operation scheme is calculated to form group control instructions; and real-time evaluation and adjustment parameters are calculated to optimize the energy-saving control strategy. The application solves the technical problems of lacking load prediction capability based on historical data analysis, lacking differentiated temperature difference control strategies and lacking a multi-water pump cooperative optimization mechanism in the existing cooling device control method. Through the establishment of an intelligent control system based on remote analysis, efficient and energy-saving operation of the cooling device is realized, and energy consumption is significantly reduced.

The utility model relates to the technical field of distribution boxes, and provides an intelligent distribution box comprising a box body in which a plurality of electric elements are installed; a plurality of high-definition cameras used for monitoring the interior of the box body are arranged in the box body, RFID tags are adhered to the electric elements, an RFID reader-writer used for reading the RFID tags is arranged outside the box body, and a plurality of detection assemblies are arranged in the box body and located beside the electric elements respectively; the beneficial effects of the utility model are that the system solves the problems that when a conventional distribution box is used for power distribution operation, the internal temperature of the distribution box cannot be well monitored, layer-by-layer monitoring is difficult to carry out in a targeted and real-time manner, and remote fault analysis of workers is inconvenient; and besides, when a worker overhauls the distribution box in the later period, the traditional distribution box is difficult to position and monitor each electric element, so that the later far-end overhaul and near-end inspection are not convenient enough.

1. The name of the design product: gas detector. 2. The use of the design product: gas monitoring display alarm, gas collection remote analysis for open and closed environment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application discloses a remote analysis method and device for the dent resistance of a vehicle body. The analysis method includes: receiving the structural design data of a target component on the vehicle body and the definition conditions of the dent resistance analysis; generating a finite element mesh of a simulation model of the target component and a corresponding density model based on the structural design data, and outputting the mesh; receiving loading parameters; looping through the following steps until the dent resistance analysis of the target component is completed: receiving a loading point to be analyzed on the finite element mesh; determining a pressure head posture suitable for the loading point; loading and unloading the pressure head based on the loading parameters; analyzing the loading results to obtain a dent resistance index, and generating and outputting a dent resistance analysis report. The present application implements automatic dent resistance analysis of a specified loading point on a remote server, and assists local engineers in selecting appropriate loading points by constructing a density model, which helps to improve the efficiency of dent resistance analysis.

The invention discloses a sports injury risk real-time assessment and early warning system. The system comprises an intelligent wearable device for collecting multi-dimensional physiological data and a remote analysis server for deep analysis; the server performs real-time risk assessment and graded early warning according to a personalized threshold value by fusing and analyzing the heart load, the body fluid balance state and muscle and joint stability characteristics extracted from kinematics parameters, and issues a specific intervention instruction; according to the invention, real-time perception of multiple risk factors of sports injury is realized through an end-cloud collaborative architecture, professional laboratory-level analysis ability is integrated into daily wearable equipment, the contradiction between single early warning dimension of existing equipment and incapability of real-time convenient application of a professional system is solved, accurate and prospective injury prevention guidance can be provided for a user, and the user experience is improved. And the safety of movement is greatly improved.

A sensor network system for determining a chimney maintenance schedule comprises a sensor unit (16) arranged for placement in or proximate to a chimney (6). The sensor unit comprises at least one sensor arranged to measure a parameter of the chimney (6) and use the measured parameter to generate chimney health data associated with the chimney (6). The sensor unit includes a transmission module arranged to transmit (20) the chimney health data to a remote analysis unit (18). The remote analysis unit (18) is arranged to receive chimney profile data associated with the chimney (6) and to estimate a chimney health level associated with the chimney (6) from the respective chimney health data and chimney profile data. The remote analysis unit (18) determines the chimney maintenance schedule from the estimated chimney health level.

Topics of potential interest to a user, useful for purposes such as targeted advertising and product recommendations, can be extracted from voice content produced by a user. A computing device can capture voice content, such as when a user speaks into or near the device. One or more sniffer algorithms or processes can attempt to identify trigger words in the voice content, which can indicate a level of interest of the user. For each identified potential trigger word, the device can capture adjacent audio that can be analyzed, on the device or remotely, to attempt to determine one or more keywords associated with that trigger word. The identified keywords can be stored and / or transmitted to an appropriate location accessible to entities such as advertisers or content providers who can use the keywords to attempt to select or customize content that is likely relevant to the user.

The invention discloses an R-script-based network analysis system and method for automatic analysis and visualization of mass spectrum data, and relates to the field of mass spectrum data analysis. A user interaction module in the system is used for providing a graphical user interaction interface; the data uploading module is used for receiving an original mass spectrum data file, checking a file format, recording a file state and storing the file in a local specified directory; the remote communication module is used for transmitting an original mass spectrum data file to be analyzed to a specified remote server directory and triggering an analysis process; the automatic analysis module is used for executing a preset R language script in a remote Linux server environment; the result output module is used for detecting whether remote analysis is completed. According to the method, automatic analysis and visualization of mass spectrum data can be realized, and the reproducibility is improved.

The invention relates to a multi-band end screen signal processing device, a sleeve end screen monitoring device and a power system. According to the device, a front-end conditioning module is connected with a multi-frequency-band current sensor and used for receiving a multi-frequency-band end screen sensing signal output by the multi-frequency-band current sensor, conducting multi-frequency-band anti-interference conditioning on the multi-frequency-band end screen sensing signal and outputting a multi-frequency-band end screen conditioning signal; the synchronous acquisition module is connected with the front-end conditioning module and is used for carrying out synchronous sampling on the multi-band end screen conditioning signal based on a unified time reference and a unified phase reference and outputting a multi-band end screen sampling signal with a unified timestamp; the fusion processing module is connected with the synchronous acquisition module and is used for performing time domain alignment, amplitude normalization, phase calibration, feature extraction and cross-band correlation analysis processing on the multi-band end screen sampling signals with the unified timestamps and outputting multi-band fusion data; and the communication module is connected with the fusion processing module and is used for sending the multi-band fusion data to the remote analysis module.

The present disclosure envisages a device (100) for energy usage analytics, The device (100) comprises a control unit (40) configured to generate at least one control signal based on a user input(s), a switching unit (50) configured to receive the control signal(s) and switch ON / OFF the electrical load(s) (20) by controlling a supply of power from the power source (10) to the electrical load(s) (20), a power metering unit (60) electrically coupled to the switching unit (50) and is configured to compute a value(s) corresponding to an real time active power drawn by the electrical load(s) (20), and a communication unit (70) configured to cooperate with the control unit (40) and the power metering unit (60) and to transmit the computed real time active energy value(s) to a user device (80) and display energy usage analytics after performing analytical computation of energy data in remote analytical server (90). The present disclosure envisages a system (200) for energy usage analytics.

The invention discloses an Internet of Things home environment monitoring system and method supporting edge computing, and the method comprises the steps: collecting home environment data in real time through an environment monitoring sensor module, and transmitting the data to an edge computing node; the edge computing node performs data cleaning, abnormal value filtering and denoising preprocessing on the received original data; analyzing the preprocessed data according to a preset algorithm and rule, and generating an environment monitoring report or a decision instruction; the edge computing node synchronizes the processed data to a cloud end regularly or as required for remote analysis, historical query and data storage; according to the decision result of the edge computing node, home environment equipment is automatically or manually controlled, and indoor temperature and humidity and air quality parameters are adjusted; according to the Internet of Things home environment monitoring system and method supporting edge computing, the equipment data are processed through the edge computing nodes, the real-time performance, reliability and safety of home environment monitoring are improved, and the existing technical problems are solved.

The invention discloses a mechanized improvement operation effect remote evaluation data acquisition and analysis system, and relates to the field of saline-alkali soil improvement, and the system comprises a sensing and acquisition module, a network transmission module and a remote analysis module. The remote analysis module is used for calculating an improvement effect comprehensive score of the working plot based on the soil salinity content and the soil pressure data; calculating the actual shear strength of the soil based on the operation mechanical parameters, and calculating the actual salt permeation rate of the operation plot based on the actual shear strength of the soil; and outputting an improvement operation effect evaluation report based on the improvement effect comprehensive score and the actual salt permeation rate. According to the method, the current operation improvement effect is quantified, meanwhile, the long-term behaviors such as the salt leaching depth and the salt return risk after irrigation / rainfall are evaluated, finally, the current improvement effect and the future permeation trend are synchronously presented in an evaluation report, and a scientific basis is provided for long-acting treatment of farmlands.

The invention relates to a digital pathological section uploading-free browsing method and system, and the method comprises the steps: an uploading-free section storage end obtains a digital pathological section, a server obtains and verifies the information of a user end, and the server sends selectable digital pathological section information to the user end. The user side initiates a browsing request according to the selected digital pathological section information, the server side obtains the digital pathological section data through the uploading-free section storage side and analyzes the digital pathological section data, an analysis result is sent to the server side for drawing and imaging for the user side to browse, and after the analysis result is completed, the server side carries out idle time archiving. According to the scheme, rapid and remote browsing of the large-size digital pathological section is realized based on remote analysis, waiting time during uploading of the digital section is omitted, unnecessary uploading operation can be reduced, access delay caused by too large uploaded data or unstable network is avoided, pathological section reading efficiency is improved, and user experience is improved. Pathological data loss is avoided, it is guaranteed that the slices can be accessed at any time, and stability and reliability are improved.

The invention relates to a regeneration characteristic analysis method and device for a vehicle exhaust purification system and electronic equipment. The method comprises the steps that according to a regeneration analysis instruction input by a user, working condition parameters of a target vehicle in a specified time period are obtained; according to the working condition parameters, identifying a regeneration time period in the specified time period; and according to the recognition result, regeneration characteristic parameters of the exhaust purification system of the target vehicle in the specified time period are determined. The working condition parameters of the vehicle are automatically uploaded under the daily working condition of the vehicle, and after the regeneration analysis instruction input by the user is received, the working condition parameters of the vehicle do not need to be manually collected, and the working condition parameters of the target vehicle in the specified time period can be obtained. The regeneration characteristic parameters can visually reflect the regeneration characteristics of the exhaust purification system in a specified time period. Therefore, the regeneration characteristics of the exhaust purification system can be quickly and accurately remotely analyzed by utilizing the determined regeneration characteristic parameters, and manpower is saved.

This invention belongs to the field of practical training monitoring technology, specifically relating to a method, device, equipment, and storage medium for monitoring and analyzing practical training behavior. The method includes: S1, a first monitoring module collects and processes the speech data of trainees, and a second monitoring module collects and processes the action data of trainees; S2, a local analysis module compares and analyzes the features of the received speech data with the features of different standard speech data to determine the transmission time, and transmits the received speech data to a remote analysis module from the transmission time; S3, a remote analysis module compares and analyzes the features of the speech data sent from the local analysis module with the features of some standard speech data to obtain a second analysis result, and determines the speech analysis result based on the first and second analysis results; S4, a remote analysis module determines the final analysis result based on the speech analysis result and the action analysis result. This invention can ensure the accuracy of speech data recognition.

The invention provides an overlying rock deformation monitoring system and method for caving discrete cemented filling mining, and relates to the technical field of mining engineering. A key monitoring area is determined by calculating the caving height, a filling hole is reused to install a quick-release modular strong magnetic buckle in a non-fixed mode, a monitoring device is distributed in a U-shaped mode, grouting and embedding are conducted, a solar power supply system and an optical fiber 5G signal wireless transceiver are installed, and monitoring and remote data analysis are conducted. The method can be used together with an original filling hole of a mine, the project of drilling a monitoring drill hole additionally is avoided through one hole with two purposes, and meanwhile, the time and the expenditure cost are saved only by arranging the optical fiber stress-strain sensor in a key monitoring area; only one optical fiber is arranged and installed in a non-fixed U shape by adopting a quick-release modularized strong magnetic buckle, so that the optical fiber can be flexibly installed, is easy to separate and can be tightly coupled with a rock stratum, and the deformation of the overlying rock mass of the metal mine exploited by adopting a discrete cemented filling method is efficiently monitored.

The present invention discloses an intelligent wearable monitoring system and method for the health status of the oral temporomandibular joint, which relates to the field of oral medical technology and mainly includes a wearable monitor and a remote analysis platform. The wearable monitor includes a monitoring module for collecting the health status data of the temporomandibular joint of the wearer, a microprocessor for performing health status assessment through a lightweight health status assessment model, and a terminal output module for sorting the health status data in an abnormal state; the remote analysis platform trains the health status assessment model based on the health status data of multiple users, regularly updates the model weights, and provides rehabilitation guidance suggestions according to the health status data and assessment results of the temporomandibular joint of the user. Through the organic combination of the wearable monitor and the remote analysis platform, the present invention realizes the comprehensive monitoring, accurate assessment and personalized rehabilitation guidance of the health status of the temporomandibular joint.

A system for monitoring tool performance and providing remote analysis and efficiency guidance may include a tool controller, a plurality of power tools operably coupled to the tool controller to execute a respective tightening operation, a local tool data manager operably coupled to the tool controller and / or the power tools to manage extraction of tool sample data, and a remote tool data manager operably coupled to the local tool data manager to receive the tool sample data and process the tool sample data to generate an improvement recommendation for communication to the local tool data manager that, responsive to acceptance, initiates a change to an instruction for operation of one or more of the power tools with respect to the respective tightening operation. The remote tool data manager may employ an analytic engine including a machine learning module and / or an artificial intelligence module to generate the improvement recommendation.

This application relates to a building energy analysis and management system for measurement and verification of building performance. The system can analyze, optimize, manage, maintain, trouble shoot, and / or modify building systems, such as HVAC systems, in connection with the building energy usage. Measurements may be gathered for one or more HVAC units coupled to pressure independent valves, and sent to one or more Surge Panels that pass data to remote analysis servers, which can receive other system or external data. The analysis servers compare measurements to predicted values and can standardize the predicted values to account for external conditions. The comparison can result in difference values used to generate probable causes and optimization recommendations. The system outputs reports or other data display using a graphical user interface that can be adjusted for an anticipated user.

An illustrative method includes a storage system detecting an anomaly associated with data written to the storage system; providing, based on the detecting of the anomaly, the data to a data analysis system remote from the storage system, the data analysis system configured to perform a corruption analysis of the data; and performing, based on the corruption analysis of the data, an operation with respect to the data.

The invention relates to the technical field of electronic communication, in particular to a device and a method for ROCE network exit polarization analysis and congestion detection, which comprise a switch and a matched method. The switch is provided with a CPU and a switch chip, the switch chip is interconnected with a high-speed bandwidth through a double CPI interface, the switch chip cuts off a service message into front 64 bytes and sends the front 64 bytes to the CPU, the CPU polls a network card queue to receive data in a user mode by using a DPDK module, analyzes the message through a flow analysis application and stores the message in an annular buffer area with a pre-distributed 512M memory, and the message is sent to the switch chip through the DPDK module. The device supports a local analysis and remote analysis dual-mode mode, can extract multi-dimensional flow information such as a physical port number and a QP number, and generates a flow thermodynamic diagram to visually display an RDMA flow state. According to the scheme, through microsecond-level low-delay acquisition, QP granularity monitoring and efficient memory management, the problems that a traditional scheme is high in delay, coarse in sampling and incapable of accurately detecting ROCE congestion are solved.

1. Name of the design product: Electronic device (ESP8266 - Flink) for graphical user interface of big data remote analysis real - time processing. 2. Use of the design product: For computers. 3. Design key points of the design product: Lies in the content and layout of the graphical user interface in the computer interface. 4. Picture or photo that best shows the design key points: Front view. 5. Conventional design of the computer, other views are omitted. 6. Use of the graphical user interface: The front view is used for 1 ESP8266 tasks, log processing, Flink datasets, image processing, video processing. Click the "facial recognition" function in the front view, then it will go to the "Change Status Diagram 1": Used for facial recognition data display. The gray - covered redundant content screen belongs to the content screen.

A sensor network system for determining a chimney maintenance plan comprises a sensor unit (16) arranged to be placed in or close to a chimney (6). The sensor unit comprises at least one sensor arranged to measure a parameter of the chimney (6) and to generate chimney health data associated with the chimney (6) using the measured parameter. The sensor unit comprises a transmission module arranged to transmit (20) the chimney health data to a remote analysis unit (18). The remote analysis unit (18) is arranged to receive chimney profile data associated with the chimney (6) and to estimate a chimney health level associated with the chimney (6) from the respective chimney health data and chimney profile data. The remote analysis unit (18) determines the chimney maintenance plan from the estimated chimney health level.

The present application provides a remote control system for a docking station based on cloud management, which relates to the technical field of docking stations. It includes: a first verification module that performs peripheral authorization access verification in a fixed partition; if it fails, a trigger module sends the verification problem characteristics to a temporary buffer and triggers the takeover of access verification in a remote partition; a locking module locks the write permission of the fixed partition, reads the device context and the verification problem characteristics, and uploads them to a cloud verification engine in a packaged manner by a transmission module; a policy acquisition module diverges and analyzes verification policies based on the cloud verification engine and encrypts and distributes them to the remote partition, and a second verification module performs peripheral-level risk verification and issues bound interface permissions according to the verification results. The present application solves the technical problem that the prior art only relies on local static verification and lacks dynamic response and remote analysis capabilities, resulting in difficulty in timely blocking and accurately identifying abnormal peripherals, and achieves the technical effect of improving the access security of the docking station.

This application relates to a building energy analysis and management system for measurement and verification of building performance. The system can analyze, optimize, manage, maintain, trouble shoot, and / or modify building systems, such as HVAC systems, in connection with the building energy usage. Measurements may be gathered for one or more HVAC units coupled to pressure independent valves, and sent to one or more Surge Panels that pass data to remote analysis servers, which can receive other system or external data. The analysis servers compare measurements to predicted values and can standardize the predicted values to account for external conditions. The comparison can result in difference values used to generate probable causes and optimization recommendations. The system outputs reports or other data display using a graphical user interface that can be adjusted for an anticipated user.

The application provides a kind of automobile fault data remote acquisition method and system, which uploads fault code to network server through vehicle terminal actively, while vehicle terminal actively packs a period of time before and after fault occurrence time of whole vehicle data and stores locally, when designer needs, realizes fault data download through remote WEB interface.The application diagnoses and analyzes vehicle fault remotely by network means, without needing technical personnel to solve automobile fault problem on site, supports host factory technical personnel to analyze and locate problem remotely by obtaining fault data, avoids technical personnel on-site support and further wastes manpower and material resources and time, realizes remote rapid support and reduces after-sales pressure, reduces maintenance time and cost.