103 results about "Remote analysis" patented technology

The invention relates to the technical field of coal mine safety and coal and gas prediction, and discloses a coal and gas outburst danger area identification and early warning method based on multi-parameter fusion, and the method comprises the steps: obtaining multi-parameter data through a sensor network, connecting the sensor network through a monitoring transmission strategy, and transmitting the multi-parameter data to a cloud platform; extracting features of the multi-parameter data transmitted to the cloud platform through a feature fusion strategy, and performing fusion processing; an outburst early warning model and an outburst early warning strategy are constructed according to the multi-parameter characteristics, and the outburst early warning model is trained by obtaining historical outburst events and normal events, so that the prediction accuracy and reliability of coal and gas outburst danger are improved; identifying an abnormal state through the outburst early warning model and the outburst early warning strategy; the signals and the signal areas are visually displayed in the cloud platform and are transmitted to management personnel and professional analysts at the same time, and remote analysis and prediction effect judgment are carried out; and dynamically adjusting the highlighting early warning model and the highlighting early warning strategy according to the multi-parameter data and the prediction effect.

The invention discloses a power transmission line icing treatment method, device and equipment, a medium and a product. The method comprises the following steps: if an icing detection request for a power transmission line is detected, determining a target icing image corresponding to the power transmission line and a pre-trained target detection model; according to the target icing image, adopting a multi-level segmentation module and a lightweight classification module in a target detection model to perform identification processing on the target icing image to obtain a corresponding icing type; and according to the icing type, determining icing response measures for the power transmission line, and according to the icing response measures, processing icing on the power transmission line. According to the technical scheme provided by the invention, the target detection model can be used for identifying and processing the icing image, so that the icing condition of the power transmission line is remotely analyzed, and the icing processing efficiency is improved.

The invention provides a high-efficiency and environment-friendly sandstone material processing control system, and relates to the technical field of sandstone material processing control, and the system comprises a production demand determination module, a blank raw material determination module, a processing workshop control module, a processing workshop fault evaluation module, an environment-friendly monitoring processing module and a sandstone aggregate online detection module. According to the invention, intelligent control of gravel production is realized, physical online detection of finished aggregate detects particle size and shape of the finished aggregate, chemical online detection of harmful substances chloride and methylene blue in the finished aggregate is realized, the detection efficiency is improved, the labor intensity of testers is reduced, and the production cost is reduced. Online collection, real-time detection, remote analysis and dynamic feedback of the finished aggregate are realized, and the quality control level of the finished aggregate is improved.

The invention provides an intelligent dynamic adaptive 3D printing orthopedic insole system and a preparation method, and relates to the technical field of orthopedic insoles, the intelligent dynamic adaptive 3D printing orthopedic insole system comprises an insole body, an intelligent sensor module, a transmission analysis module and a regulation and control module, the insole body is of a multi-layer dynamic structure, the intelligent sensor module is embedded in the insole body, and the transmission analysis module is connected with the regulation and control module. The transmission and analysis module is used for monitoring foot pressure distribution, gait parameters and foot posture change data of a user in real time, and the transmission and analysis module is arranged in the insole body and wirelessly transmits the data to a user intelligent terminal application program for analysis and recognition through the Bluetooth technology; through monitoring, remote analysis and regulation and control of the intelligent sensor module, real-time dynamic adjustment of the functions of the orthopedic insole is achieved, the orthopedic insole adapts to the progress of the activity state, the health condition change and the correction requirement of a user, intelligent sensing, real-time monitoring, cloud data analysis, real-time regulation and control and a multi-layer dynamic structure are integrated, and the practicability is high. And an omnibearing and intelligent foot health management solution is provided.

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 discloses a network freight logistics verification system based on trajectory tracking, and relates to the technical field of cargo transportation, the verification system comprises a control module, a data acquisition module, a positioning module, a data processing module, an optimization module and an early warning module, the control module is used for controlling acceleration, stop and turning of a transportation robot, and the data acquisition module is used for acquiring data; the data acquisition module is used for acquiring loading and unloading data of the transportation robot at a freight point and cargo load data of the transportation robot in the transportation process. The system has the advantages that the cargo transportation data are remotely analyzed through the data acquisition module, the positioning module and the data processing module, and then the transportation robot is called to load cargoes; and then the data processing module analyzes the operation paths of the multiple transportation robots and transmits the operation path data to the control module, so that transportation control over the multiple transportation robots is facilitated, and meanwhile goods can be prevented from falling off in the transportation process.

The invention relates to an analysis preparation cuvette rack unit (10;10′) comprising a cuvette platform (20) for uprightly holding a sample cuvette (100;101) comprising a cuvette identification (111;111′) on a sample cuvette information carrier (110;110′). The cuvette rack unit (10; 10′) comprises a platform balance for determining the weight of the sample cuvette (100; 101) held by the cuvette platform (20), a reading device (16) for reading the unique cuvette identification (111; 111′) of the sample cuvette information carrier (110; 110′), a sample cuvette information carrier (110; 110′) and a sample cuvette information carrier (110; 110′). cuvette information carrier (110) of the sample cuvette (100;101) held by the cuvette platform (20), and an analysis preparation controller (14;14′) informationally connected to the platform scale (12) and the reading means (16) for storing and transmitting a sample cuvette weight value together with the associated read cuvette identification (111;111′) to a separate remote analysis unit (60) which performs a quantitative analyte analyser (66). The cuvette rack unit (10;10′) does not comprise an analyte analyser.

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 discloses a wearable wireless transmission electrocardiogram monitoring and early warning vest, and relates to the technical field of medical equipment. The problems that in the prior art, the local storage space of equipment is limited, a large amount of electrocardiogram data cannot be stored for a long time, the electrocardiogram data cannot be transmitted to medical professionals or guardians of users in real time based on remote analysis and management, and timely treatment is affected are solved. Through comprehensive and accurate electrocardiosignal acquisition, a user is notified in time through the buzzer when abnormality is detected, the wrist strap type active alarm can also actively give an alarm when the user is uncomfortable, alarm information is sent to a preset emergency contact through a wireless network, and the user can conveniently and rapidly carry out emergency treatment. The main control chip performs data interaction with the cloud monitoring platform based on a wireless network, so that a doctor or a family member can remotely monitor the electrocardiogram condition of a user and provide timely medical intervention suggestions, the standby power supply effectively ensures that the equipment can still work continuously under the condition that the main power supply is exhausted, and the life safety of the user is guaranteed.

The invention discloses an intelligent wearable monitoring system and method for the health state of an oral temporal-mandibular joint, and relates to the technical field of oral medical treatment, and the system mainly comprises a wearable monitor and a remote analysis platform. The wearable monitor comprises a monitoring module used for collecting health state data of temporomandibular joints of a wearer, a microprocessor used for executing health state evaluation through a lightweight health state evaluation model, and a terminal output module used for sorting abnormal health state data. The remote analysis platform trains a health state evaluation model based on the health state data of the multiple users, regularly updates the weight of the model, and provides rehabilitation guidance suggestions according to the health state data of the temporomandibular joints of the users and evaluation results. Through organic combination of the wearable monitor and the remote analysis platform, comprehensive monitoring, accurate evaluation and personalized rehabilitation guidance of the temporomandibular joint health state are realized.

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.

Methods and systems directed to benchtop instruments for sample deposition and staining with machine-learning based image analysis are described. An example system includes an apparatus with a slide processing module, positioned at an upper front position of the apparatus, which has a user interface configured to receive an input from a user that configures a deposition operation and a staining operation for the cellular sample. The system further includes a clamping module positioned at a lower front of the apparatus, an auxiliary systems module positioned at a rear of the apparatus, and an optical imaging and analysis system configured to analyze the cellular sample either on-site or remotely. An example method for depositing, staining and analyzing a cellular sample uses the above-described apparatus.

The invention discloses a coating roller detection and notch groove measurement device, and relates to the technical field of coating roller processing. The coating roller detecting and grooving measuring device comprises a coating roller mounting frame and a grooving mounting frame, a coating roller driving part and a coating roller are arranged on the coating roller mounting frame, the coating roller driving part drives the coating roller to rotate, a grinding wheel assembly is arranged on the grooving mounting frame, and the grinding wheel assembly is used for grooving the coating roller. The coating roller detection and notch groove measurement device further comprises a laser measurement assembly, the grinding wheel assembly and the laser measurement assembly are located on the two sides of the coating roller, the laser measurement assembly is used for collecting image information of the coating roller and transmitting the image information to the far-end analysis module, and the convenience of notch groove measurement of the coating roller can be improved.

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 relates to the technical field of computers and financial science and technology, and discloses a log collection method and device based on Runtime, a storage medium and computer equipment, the method is applied to a log collection application program of mobile equipment, and the method comprises the steps that the log collection application program is run, and a sub-process based on a Runtime class is created through the log collection application program; executing a preset log recorder command in the sub-process by using a method based on a Runtime class; extracting log entries matched with filtering conditions from the system log information through a log filter in the log collection application program; and taking the log entry as target log information. By creating the Runtime class-based sub-process and executing the preset log recorder command, real-time capture and remote analysis of background system log information can be realized, and meanwhile, by combining a log filter technology, log entries matched with filtering conditions can be accurately extracted, and the accuracy and integrity of target log information are ensured.

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.

The invention discloses an implantable electrode and a system for treating hypertension by adopting the same. The implantable electrode for treating hypertension comprises a catheter, a stimulating electrode slice, a guide wire and an insulating film, the two stimulating electrode plates are arranged on the two sides of the exterior of the catheter respectively, are connected with the exterior through guide wires arranged in the catheter respectively and are used for emitting current to stimulate nerves according to external signals; one end of the insulating film is arranged outside the catheter and located between the two stimulating electrode slices and used for wrapping the stimulating electrode slices making contact with the nerves and the outside of the nerves so that the stimulating electrode slices can be insulated from the outside. The invention discloses a system for treating hypertension by adopting an implantable electrode. The system comprises an implantable electrical stimulation device, a blood pressure monitoring device and a remote analysis monitoring platform. According to the implantable electrode and the system for treating hypertension by adopting the implantable electrode disclosed by the invention, extremely low-intensity electrical stimulation is given to renal sympathetic nerve introduced nerve fibers in dorsal root nerves through the stimulation electrode to inhibit the activity of the nerve fibers, so that the blood pressure of a patient is kept relatively stable, and the risk of complications caused by blood pressure fluctuation is reduced; the medicine taking amount of a hypertensive patient can be greatly reduced, and even the hypertensive patient may stop taking hypertensive medicines.

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.

An analyte monitoring system (100) and related techniques are provided to improve the operation of a handheld or unmanned mobile sensor or monitoring platform. An analyte monitoring system includes a logic device (112) configured to communicate with a communication module (164) and a sensor assembly (166) of a modular sensor core (160), wherein the communication module is configured to establish a wireless communication link with a base station (130) associated with the modular sensor core and / or the mobile sensor platform (110), and the sensor assembly is configured to provide analyte sensor data when the modular sensor core is maneuvered within a monitoring area.

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 embodiment of the invention discloses a vital sign data transmission method, a vital sign data transmission system and a vital sign data transmission device. A specific embodiment of the method comprises the following steps: performing multi-source protocol data decoding on a read vital sign data set through a sign monitoring device; carrying out unified coding on the decoded vital sign data set; in response to the fact that the transmission mode of the physical sign monitoring device is a wireless transmission mode, performing non-inductive identity verification on the physical sign monitoring device; transmitting the encoded vital sign data set to the target mobile terminal in a point-to-point transmission mode in response to the fact that the identity verification is passed and the target mobile terminal is located in the signal range of the target router; and in response to successful transmission, performing sign state recognition according to the encoded vital sign data set through a sign state recognition model. According to the embodiment, medical care can remotely analyze the physical sign data of the patient and timely position the position of the patient when the patient is abnormal, so that the abnormal patient is effectively found and treated.

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.