33 results about "Remote analysis" patented technology

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 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 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.

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.

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.

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.

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.

The invention discloses a control system and method for remotely detecting and analyzing automobile quiescent current abnormity, and the system comprises a battery sensor which is used for periodically detecting the quiescent current value of a storage battery after a vehicle is powered off; the vehicle-mounted remote terminal is provided with a standby power supply and a communication module, and is used for switching to a standby power supply working mode after receiving the abnormal signal sent by the battery sensor; the server is used for receiving and analyzing the quiescent current data and the whole vehicle communication data uploaded by the vehicle-mounted remote terminal; and when the battery sensor detects that the static current value exceeds a preset threshold value, the battery sensor is activated and sends an abnormal signal to the vehicle-mounted remote terminal to trigger the vehicle-mounted remote terminal to enter a standby power supply working mode. According to the scheme, the quiescent current of the vehicle can be monitored in real time, the abnormally high quiescent current condition which is not easy to detect can be automatically obtained, the communication data of the whole vehicle can be automatically uploaded, the abnormal reason can be remotely analyzed after the data of the whole vehicle is obtained, the abnormal vehicle does not need to be analyzed on site, and manpower and material resources are saved.

The invention belongs to the technical field of industrial equipment health management and fault diagnosis, and particularly relates to an intelligent maritime work hydraulic equipment remote fault diagnosis device and method, through integration of a sensor, a data remote transmission module, a wireless remote transmission unit and a remote analysis unit, a set of complete'perception-transmission-analysis-decision 'closed-loop system is constructed; according to the method, 24-hour uninterrupted automatic health monitoring on offshore remote maritime work equipment is supported, key parameters Q and R of a non-destructive Kalman filter are dynamically adjusted through a Transform network, the core problem that a traditional filtering algorithm is poor in adaptability under variable working conditions is solved, a self-attention mechanism of the Transform network is utilized, and the self-attention function of the non-destructive Kalman filter is achieved. Fusion of multi-source heterogeneous information such as pressure, flow, temperature, vibration and oil quality is achieved, comprehensive monitoring of the health state of the system is formed, and the diagnosis result is more reliable.

The application discloses a power transmission line icing treatment method, device, equipment, medium and product. The method comprises the following steps: if an icing detection request for a power transmission line is detected, a target icing image corresponding to the power transmission line and a pre-trained target detection model are determined; according to the target icing image, a multi-level segmentation module and a lightweight classification module in the target detection model are used to identify and process the target icing image, so that a corresponding icing type is obtained; according to the icing type, a corresponding measure for the icing of the power transmission line is determined, so that the icing on the power transmission line is treated according to the corresponding measure for the icing. The technical scheme of the application can identify and process the icing image by using the target detection model, so that the icing condition of the power transmission line is remotely analyzed, and the efficiency of the icing treatment is improved.

The invention belongs to the technical field of fire-fighting equipment, and particularly relates to an intelligent fire-fighting analysis and management integrated platform, which comprises a remote terminal provided with a remote analysis end, a remote control end and a remote mobile end; the on-site terminal is provided with a processing end, an on-site control end, positioning equipment and display equipment; the field monitoring device is provided with monitoring equipment and alarm equipment; the system further comprises an on-site terminal box, a mounting cavity is formed in the on-site terminal box, and a protection mechanism used for protecting the on-site terminal box in a fire behavior is arranged on the on-site terminal box; wherein the remote terminal, the on-site terminal and the on-site monitoring device can carry out data information transmission through wireless connection, the on-site terminal is arranged in the on-site terminal box, the on-site terminal is installed in the on-site terminal box, and through protection of the protection mechanism, the phenomenon that fire spreads into the on-site terminal box, and consequently the on-site terminal is damaged can be prevented.

The invention discloses a remote fault analysis system and method for a negative pressure station, and relates to the technical field of big data analysis. Historical normal operation industrial parameters and fault maintenance information of the negative pressure station are collected, and a unique traceability identifier is added; the load working conditions are divided into high, medium and low classes according to a preset threshold value, and normal operation industrial parameter references corresponding to the working conditions are constructed; comparing the historical fault information with a normal industrial standard, generating an abnormal starting feature sequence and an abnormal ending feature sequence, and constructing a first industrial operation and maintenance reference library and a second industrial operation and maintenance reference library; collecting real-time industrial parameters, calling the reference library to calculate a score when the industrial parameters are abnormal, and generating a troubleshooting guide; the system comprises a historical industrial information processing module, a normal industrial standard construction module, an operation and maintenance reference library construction module and a real-time fault processing module which are electrically connected. The method improves the reference accuracy, achieves the quick positioning of a fault, improves the maintenance efficiency, and reduces the shutdown influence of equipment.

The utility model discloses a bonding head calibration mechanism, and relates to the technical field of semiconductor chip packaging. The bonding head calibration mechanism comprises a bonding head and a bearing table arranged below the bonding head, a light beam emitting assembly and a light beam receiving assembly are arranged above the bonding head, a reflecting mirror group is arranged on the bonding head, and a light beam emitted by the light beam emitting assembly is reflected to the light beam receiving assembly at a reference point of the reflecting mirror group; an emission light beam of the light beam emission assembly is parallel to a receiving light beam of the light beam receiving assembly, and the parallel distance between the emission light beam of the light beam emission assembly and the receiving light beam of the light beam receiving assembly is a first parallel distance; and the remote analysis module calculates the offset of the bonding head according to the difference between the first parallel distance and the real-time distance between the emitted light beam and the received light beam in the change process of the distance between the bonding head and the bearing table. The bonding process can be monitored in real time and adjusted in real time, the bonding offset is reduced, and the bonding precision is greatly improved.

The invention provides a livestock monitoring system based on the Internet of Things, and belongs to the technical field of Internet of Things monitoring, and the system comprises an environment collection module which is used for carrying out environment data collection based on each sensor group disposed in a breeding area; the livestock raising state acquisition module is used for acquiring related information based on intelligent wearing equipment on a target livestock body and a newly-added equipment group at a specified position of a breeding area; the remote analysis center is used for receiving an acquisition result at each acquisition moment, performing first information fusion analysis at the same moment and second information fusion analysis of the same kind of information at N1 continuous moments, and determining a single control set at each acquisition moment and a comprehensive control set of the breeding area; and the intelligent control module is used for optimizing the comprehensive control set based on all the single control sets to obtain a final control set and issuing the final control set to corresponding regulation and control equipment. The comprehensiveness of collected data and the intelligence of data processing are ensured, and the work coordination and efficiency of regulation and control equipment are improved.

The utility model belongs to the technical field of nitrogen application in the food industry, and particularly relates to a food-grade nitrogen collection and analysis system which is characterized by comprising a low-temperature pressure tank, a pump, a vaporizer, a busbar, a filling gas cylinder, a pressure reducer, a flow meter and a gas analyzer, an outlet of the low-temperature pressure tank is sequentially connected with a pump, a vaporizer, a busbar and a filling gas cylinder through pipelines; the top of the low-temperature pressure tank is communicated with an analysis pipe through a purging pipe, a sixth valve is arranged on the purging pipe, the analysis pipe is communicated with an inlet of a gas analyzer through a seventh valve, a pressure reducer and a flowmeter in sequence, and an outlet of the gas analyzer is connected with a first diffusion pipe; an inlet pipeline of the gas analyzer is connected with a second bleeder, and a ninth valve is arranged on the second bleeder. The utility model has the beneficial effects that the purity of food-grade nitrogen is subjected to centralized remote analysis and detection, so that the number of times that analysis and test personnel enter and exit from a site is reduced, and the automation control level of a production workshop is favorably improved.