36results about How to "Realize monitoring and early warning" patented technology

The invention discloses a 3D visualized smart water affairs operation system. The system comprises a sewage plant automatic control module, a sewage plant optimization module, a pumping station automatic control module, a water quality monitoring module, a plant area display module, a video monitoring module, an equipment management module, an energy consumption management module, an intelligent tour inspection module, a pipe network management module, a data analysis module and a mobile end module connected with a central database via a central scheduling module; the video monitoring module is connected with the data analysis module; and the data analysis module is connected with the central database and the central scheduling module. According to the system, a 3D virtual reality technology is used, a complete remote monitoring, early warning, scheduling, disposal and control system is established, an intelligent integrated command platform and mobile tour inspection equipment are constructed in an integrated manner, the capability of coping with change is improved, operation management is made digital, informational, modern, automatic and intelligent, remote data monitoring and control are realized, and the management efficiency and precision are improved greatly.

The invention discloses a fresh cold chain transportation commodity quality monitoring and early warning management system based on big data. The system comprises a detection time period division module, a temperature detection and processing module, a vibration speed acquisition module, an environmental microorganism detection module, a midway transfer parameter acquisition module, a commodity parameter database, an analysis cloud server, an early warning module and a display terminal. According to the invention, the temperature in the transport vehicle, the bumping vibration factor of the transport vehicle, and the transfer frequency parameter and the transfer environment parameter in the fresh cold-chain commodity transport and transfer process are combined for evaluating the comprehensive quality of the fresh commodities, and monitoring and early warning of the commodity quality in the fresh cold chain commodity transportation process are realized; meanwhile, the statistics of thecomprehensive quality coefficient of the fresh commodities realizes the quantification of the quality of the fresh commodities, so related personnel can intuitively know the quality condition of the fresh commodities in the transportation process, and a reference is provided for later commodity storage.

The invention provides a temperature monitoring system and monitoring method capable of realizing early warning on breast pathological changes. The monitoring system has a concrete structure comprising two cups used for accommodating breasts, wherein a temperature sensor three-dimensional array is arranged on the surface or the inside of one side, for accommodating the breast, of each cup. The temperature monitoring system is characterized by also comprising an armpit temperature monitor used for monitoring the body temperature; the output ends of the temperature sensor three-dimensional array and the armpit temperature monitor are respectively and electrically connected with a receiving end of a microprocessor positioned on the cup; the microprocessor is in wireless connection with the intelligent terminal. The monitoring system can realize the early warning on the breast local pathological changes such as breast tumor in the early stage, and can also realize the early warning on the breast integral pathological changes such as hyperplasia of mammary glands in the early stage; the wearing and the monitoring are convenient; the monitoring precision is high; the cost is low.

The invention belongs to the coal mine working face stress monitoring field and relates to a detection system and method, in particular, a belt conveyor-based coal mine working face real-time detection system and method. According to the system and method of the invention, a belt conveyor installed in a conveying forward direction channel at one side of the working face is adopted as a vibration source; geophones are distributed at the conveying forward direction channel and an air return channel at the other side of the working face respectively; a seismic gun set with a high signal to noise ratio can be obtained through recording vibration of a certain time span; the velocity distribution CT image of the working face can be obtained through tomography processing; the CT images of the working face at various time sections are connected with together so as to form a cloud picture varying with time; and therefore, abnormal areas of stress adjustment can be found, and early warning signals can be emitted. With the system and method adopted, long-term real-time stress scanning of the whole working face can be realized.

The invention relates to an intelligent ice and snow early warning system and method applied to a photovoltaic road section. The system comprises a weather acquisition module, a monitoring and early warning module and a photovoltaic power generation interface which is used for supplying power, generated by a photovoltaic road, for the weather acquisition module and the monitoring and early warningmodule; the weather acquisition module is used for acquiring weather information and road state information of the photovoltaic road; the monitoring and early warning module is used for obtaining anice and snow early warning result of the photovoltaic road according to the weather information and the road state information, and early warning people of ice and snow on the photovoltaic road according to the ice and snow early warning result. According to the embodiment of the invention, the ice and snow condition of the photovoltaic road can be predicted, and monitoring and early warning of ice and snow on the photovoltaic road section are achieved; the early warning system can achieve the early warning function by itself without the aid of external power, the cost of laying a circuit is saved, and the economic efficiency can be effectively improved especially for remote roads.

The invention discloses a networked intelligent multi-parameter vital sign monitoring device. The networked intelligent multi-parameter vital sign monitoring device comprises a front end wireless sensor group and a connected network communication monitoring device, wherein each front end wireless sensor comprises a sensor connected with a signal conditioning circuit, an A / D converter, a microcontroller and a high-speed wireless communication line in sequence; the connected network communication monitoring device comprises a local processor connected with a local wireless communication line, a local storage, a local displayer, a remote communication line, a high-definition camera, a microphone, a loudspeaker and a USB circuit. The invention further discloses a cloud platform system of networked intelligent multi-parameter vital sign monitoring devices. The big-data networked intelligent platform software system carries out remote management on the distributed type networked intelligent multi-parameter vital sign monitoring devices which are distributed at different regions and connected through different modes, and concentrated storage of monitoring data, intelligent analysis and excavating of monitoring data, data integration between monitoring data and user personal health files and other functions are achieved.

The invention discloses a transformer substation tripping and closing loop monitoring and early warning system and method. The transformer substation tripping and closing loop monitoring and early warning system comprises a sensor module, a data conversion device, an acquisition unit and a management unit, the sensor module is used for collecting tripping and closing loop current, direct-current power supply loop current and temperature and humidity data and converging the data to the management unit step by step through the data conversion device and the collection unit, and the management unit is used for executing monitoring and early warning. Sensor modules are installed in tripping and closing loops and power supply loops of all intervals of a transformer substation to collect tripping and closing loop monitoring currents and power supply loop monitoring currents. The data conversion device converts the signals into SV signals and GOOSE signals and transmits the SV signals and theGOOSE signals to the acquisition unit. According to the transformer substation tripping and closing loop monitoring and early warning system and method, real-time monitoring, fault warning and faultpositioning of the transformer substation tripping and closing loop can be achieved, and the operation reliability of the transformer substation is improved.

The invention discloses a remote sensing monitoring method and device for crop diseases and insect pests based on meteorological satellite data. The method comprises the following steps: acquiring SMAP and TRMM satellite image data, preprocessing the data, selecting corresponding meteorological factors according to pest and disease damage types, and interpolating the two satellite data by using aninverse distance weight method to obtain key meteorological element data with specified spatial resolution and specified time resolution in a research area; calculating according to Beijing time to obtain daily data of key meteorological factors in the research area; establishing a corresponding disease and pest attack index meteorological evaluation model by utilizing a mathematical statistics method; according to the key meteorological element daily data of the specified disease and pest type in the research area and the corresponding disease and pest attack index meteorological evaluationmodel, calculating the disease and pest attack index by taking ten days as a period; and executing a mask by utilizing the distribution data of the target crops to generate a thematic map. According to the invention, the early warning real-time performance and accuracy can be improved, and the monitoring range is wide.

One or more embodiments of the invention provide a mine water disaster emergency management method and system. The method comprises the following steps of: dividing into four stages according to mine water disaster accident inoculation, formation, evolution, disaster-causing full life cycle process and corresponding prevention and control countermeasures, wherein the four stages comprise a stage of simulating prediction and prevention countermeasures before water disaster occurrence, a stage of hidden danger troubleshooting monitoring and early warning management and control, a stage of emergency rescue and emergency disposal before mine flooding after water disaster occurrence and a stage of virtual simulation and design of a mine recovery drainage scheme after mine flooding. On the basis, a mine water disaster emergency management system framework is designed, and in an application support environment comprising software and hardware, data processing and decision generation are carried out in each stage through a resource fusion manner. The mine water disaster emergency management system is capable of realizing scientific management.

The invention discloses an electrical fire monitoring and early-warning method based on anintegration algorithm and a device, which comprises steps: S1 residual current of an electrical loop is detected; S2 the residual current is integrated for time to obtain a residual current integral parameter; S3 the voltage and the load current of the electrical loop are obtained; S4 electrical fire hidden trouble situations of the electrical loop are monitored and early-warmed according to integral parameters of various time periods; S5 the electrical fire hidden trouble situations of the electrical loop are alarmed and controlled according to the detection results of the residual current, the voltage and the load current; S6 the temperature on presupposed positions in the electrical loop is detected; and S7 an overtemperature integral parameter is obtained when the temperature is bigger than a setting threshold. The electrical fire monitoring and early-warning method based on the anintegration algorithm and the device are beneficial to check in hadden troubles in time in early stage by monitoring the residual current integral parameter, the redidual current, the voltage, the load current, the temperature and the overtemperature integral parameter and particularly monitoring the residual current integral parameter and the overtemperature integral parameter, and prevent the problem that electrical fire hidden troubles are not found in time.

The invention discloses an intelligent road network comprehensive management platform. The platform comprises a data layer, an application support layer, an application layer and a service layer. Thedata layer and the application support layer are connected with each other. The application support layer is connected with the application layer; the application layer and the service layer are connected with each other, wherein the data layer is used for providing basic data and image support for the road network platform, the application support layer is used for providing application support for the road network platform, the application layer is used for providing function support and application support for the road network platform, and the service layer is used for providing application terminal support for users of the road network platform.

The invention relates to the technical field of cluster service fault early warning, and discloses a cluster service fault early warning system based on RPC service monitoring, which comprises a cloud computing server CCScsfa which operates server software of the cluster service fault early warning system and is deployed at a remote cloud, the computer terminal PCTcsfa runs cluster service fault early warning system user side software and is used for executing cluster server operation and maintenance management tasks, and the computer terminal PCTcsfa is in mutual communication connection with the cloud computing server CCScsfa through network communication equipment; the cluster service fault early warning system comprises a data acquisition agent node CNi, a gateway server and a data computing center, the data computing center is in communication connection with the gateway server, and the gateway server is in communication connection with the acquisition agent node CNi. According to the invention, the technical problem of how to realize monitoring and early warning of the cluster system through monitoring operation of calling the service by the remote service is solved.

The invention discloses a meteorological power equipment user-defined layer display processing method and system. The method includes: connecting meteorological data which are monitored in realtime and prewarned into a power grid GIS platform, positioning power equipment and a meteorological monitoring station in the power grid GIS platform, and positioning coordinates of the meteorological monitoring station into a power grid GIS map; creating an equipment layer and a meteorological layer in the power grid GIS map respectively according to positioning information of the power equipment and the meteorological monitoring station, and stacking the meteorological layer and the equipment layer; dividing according to municipal and prefectural administrative regions or large regions to form various user-defined layers, and taking the user-defined layers as blueprints to display meteorological information of the meteorological layer and the equipment layer. Monitoring and prewarning of natural disasters and emergent events can be realized by taking dynamic correlation of meteorological-power equipment as a basis through layer display, and disaster loss can be reduced to greatest extent.

The embodiment of the invention provides a data submission monitoring method and device and electronic equipment. The method comprises the following steps: sensing a submission behavior of a data submission client according to a pre-configured sensing rule or a matching rule corresponding to the data submission client; when it is sensed that the submission behavior occurs, obtaining a newly addedfile under a file directory in the data submission client, and taking the newly added file as a submission file corresponding to the submission behavior; or, collecting a message reported by the datareporting client, and obtaining a reporting file corresponding to the reporting behavior from the message; and uploading the submission behavior information and the submission file information to a submission platform server in a predetermined transmission mode, so that the submission platform server monitors a data submission result according to the submission behavior information and the submission file information. The technical scheme can be applied to the field of supervision, and monitoring of supervision submission behaviors is realized.

The invention provides a tunnel surrounding rock block collapse monitoring system based on natural vibration frequency. The tunnel surrounding rock block collapse monitoring system comprises a tunnel laser vibration measurement system, a wireless vibration monitoring system and a block collapse disaster prediction system, the laser vibration measurement system is used for collecting the natural vibration frequency of a dangerous block body for the dangerous block body disclosed by tunnel excavation, and is used for quickly judging the stable state of the dangerous block body; the wireless vibration monitoring system is used for monitoring the natural vibration frequency of the dangerous block body in real time aiming at the supported dangerous block body, and transmitting the monitoring data to the block body collapse disaster prediction system in real time; and the block collapse disaster prediction system is used for predicting the collapse risk of tunnel surrounding rock blocks.

The invention provides a debris flow monitoring and early warning system and method, and the system comprises a target, a controller, and a camera, a multi-element weather collection module, a mountain fixed monitoring device, an acceleration sensor, a Beidou positioning module and a GPRS module which are electrically connected with the controller. The target and the mountain fixing and monitoring device are arranged in a debris flow channel of a monitoring area, the camera is arranged right opposite to the target, the mountain fixing and monitoring device is used for stabilizing a local slope and monitoring debris flow information, and the acceleration sensor is embedded in a boulder of the debris flow channel. The multi-element weather acquisition module is used for acquiring weather information, and the controller is in communication connection with a background server through the GPRS module. According to the debris flow monitoring and early warning system and method provided by the invention, early warning of debris flow disasters can be realized, the early warning accuracy is improved, protection and risk avoiding can be realized in time, and the harmfulness of debris flow is effectively reduced.

The invention relates to a real-time early warning method for a muck truck. The method comprises the following steps: S1, acquiring a video picture in real time; S2, detecting and identifying the vehicle type and the license plate of the muck truck in the picture; S3, searching record information corresponding to the license plate number; S4, if the record information in the passing validity period is not found, determining that an illegal behavior is not recorded; S5, if the current muck truck appears beyond the time range of allowing passage, determining that the muck truck is a forbidden time illegal behavior; S6, if the monitoring point position of the current muck truck is not in the road section allowing passage, determining an illegal behavior of deviating from the route; S7, performing statistical analysis on the illegal information of the muck truck; and S8, enabling that the traffic police performs unified examination and management on the muck trucks generating the early warning. According to the invention, the existing checkpoint and road monitoring system is used to integrate the relevant information of the pass recorded by the muck truck in real time; and real-time early warning can be carried out against the muck truck which illegally passes, so that the control complexity and the management cost are reduced.

The invention discloses a service platform oriented to a specific research and development institution, and the platform comprises an institution style acquisition module which is used for displaying a specific research and development institution list and generating an enterprise self-evaluation form which is an evaluation form for an enterprise to carry out the evaluation of the specific research and development institution; the data acquisition module is used for acquiring corresponding index data of a specific research and development mechanism; the data source management module is used for displaying a data acquisition source list and carrying out early warning on an abnormal acquisition source; the statistical center module is used for carrying out statistics on policies, labels and tasks corresponding to the specific research and development institutions; the information management module is used for managing information of a specific research and development mechanism; and the institution management module is used for setting departments, accounts and permissions of the specific research and development institutions. According to the invention, by dynamically collecting business data and operation condition information and utilizing a big data technology to carry out association analysis and causal analysis, intelligent statistics, monitoring and early warning are realized, the management cost is reduced, and the data management efficiency is improved.

The invention discloses a leakage self-early-warning type water pipe based on a water treatment system, and belongs to the field of leakage monitoring. Through arrangement of a leakage detection plate and a laser, when a water seepage phenomenon occurs, the leakage detection plate intensively absorbs seeping water and generates a large amount of gas; in addition, in cooperation with the effect of a line disturbing magnetic plate, in the process that the air-moving shading bag gets close to the light beam, the line disturbing magnetic plate gradually moves upwards due to the adsorption force of the line disturbing magnetic plate, and therefore the water seepage phenomenon is monitored and early warned. According to the water seepage early-warning device, the air-moving shading bag is used for blocking light beams discontinuously, so that light signals received by the laser device are discontinuous and change continuously, certain early-warning efficiency is achieved before the air-moving shading bag shields and intercepts the light beams completely, the timeliness of water seepage early-warning is remarkably accelerated, and the influence on sewage treatment efficiency and the environment is greatly reduced.

The invention discloses a power monitoring system network security policy arrangement and disposal method and system. The method comprises the following steps: monitoring security events of internal equipment of a power monitoring system; matching the security event with a preset strategy library, if matching succeeds, obtaining a security disposal strategy corresponding to the security event from the preset strategy library, and if matching fails, calculating a strategy approximate solution based on a genetic algorithm; a security disposal strategy corresponding to the security event is visually arranged according to the strategy approximate solution; and realizing safe disposal based on the obtained safe disposal strategy. According to the invention, behavior analysis and monitoring early warning of internal equipment of the power monitoring system are realized, an approximate disposal strategy is efficiently calculated from massive alarms based on a matching method of a genetic algorithm, and active defense of the power monitoring system is truly realized; the main security threat faced by the current power monitoring system is solved from the angles of monitoring early warning and emergency disposal.

The invention provides subway tunnel full-time intelligent monitoring equipment and method. The subway tunnel full-time intelligent monitoring equipment comprises a walking trolley, a data processing system and a wireless transmission system, wherein the walking trolley is provided with a camera, a multi-source laser scanner, a multi-source thermal infrared analyzer, a sound wave detector and a gas concentration monitor, a connecting piece which can be detachably connected with a subway carriage is arranged on the walking trolley, and the data processing system is configured to receive and process data acquired by the camera, the multi-source laser scanner, the multi-source thermal infrared analyzer, the sound wave detector and the gas concentration monitor, acquire the real-time tunnel real picture condition, the real-time tunnel vault settlement condition, the real-time tunnel base upheaval condition, the real-time tunnel unfavorable geology sound wave feedback and the real-time tunnel interior hazardous gas concentration and transmit to a control center through a wireless transmission system.

The invention discloses a meteorological power equipment user-defined layer display processing method and system. The method includes: connecting meteorological data which are monitored in realtime and prewarned into a power grid GIS platform, positioning power equipment and a meteorological monitoring station in the power grid GIS platform, and positioning coordinates of the meteorological monitoring station into a power grid GIS map; creating an equipment layer and a meteorological layer in the power grid GIS map respectively according to positioning information of the power equipment and the meteorological monitoring station, and stacking the meteorological layer and the equipment layer; dividing according to municipal and prefectural administrative regions or large regions to form various user-defined layers, and taking the user-defined layers as blueprints to display meteorological information of the meteorological layer and the equipment layer. Monitoring and prewarning of natural disasters and emergent events can be realized by taking dynamic correlation of meteorological-power equipment as a basis through layer display, and disaster loss can be reduced to greatest extent.

The present invention provides a high-risk dust risk early warning method and management system based on quantitative risk assessment, including: S1, high-risk dust risk identification; S2, comprehensive assessment of occupational exposure to high-risk dust; S3, dose-response assessment of high-risk dust-induced pneumoconiosis; S4. Characterize the risk of pneumoconiosis. The invention completes the comprehensive assessment of occupational exposure to high-risk dust based on computer simulation, can realize monitoring and early warning of high-risk groups of pneumoconiosis, and achieve breakthroughs in key technologies such as monitoring, forecasting and early-warning of high-risk groups of pneumoconiosis.

The invention relates to an urban air quality intelligent wireless monitoring system and method, the system comprises a plurality of monitoring terminals and monitoring stations, each monitoring terminal comprises a sensor system, an antenna, a BMS system, a signal processing module, a storage module, a GPS positioning module and a timer, the sensor system is used for detecting air quality parameters, the signal processing module analyzes the air quality parameters, and the storage module stores the air quality parameters. If it is judged that the air quality parameter exceeds a preset threshold value, the signal processing module generates a real-time air monitoring and early warning message according to signals of the timer and the GPS positioning module, the real-time air monitoring and early warning message is sent to a monitoring station and other monitoring terminals within one kilometer of the circumference through the antenna, and the adjacent monitoring terminals communicate with one another to synchronously monitor air. And a regional air quality monitoring list is constructed on a display interface of the monitoring station, and if more than three monitoring terminals are displayed in the regional air quality monitoring list to send out real-time monitoring early warning messages, the monitoring station sends out warning information, and manual intervention processing is carried out.

The invention provides a high-risk dust risk early warning method and management system based on quantitative risk assessment. The method comprises the steps of S1, high-risk dust risk identification; s2, comprehensively evaluating occupational exposure of high-risk dust; s3, performing dose-response evaluation on the high-risk dust-caused pneumoconiosis; and S4, characterizing the risk of pneumoconiosis. According to the invention, high-risk dust occupational exposure comprehensive evaluation is completed based on computer simulation, monitoring and early warning of high-risk groups of pneumoconiosis can be realized, and breakthrough of key technologies such as monitoring, prediction and early warning of the high-risk groups of pneumoconiosis is obtained.

The invention provides an intelligent environment management system for building monitoring, and the system comprises a remote building environment management center and building environment monitoring subsystems, and the remote building environment management center carries out the one-to-many bidirectional wireless communication with the building environment monitoring subsystems through a wireless gateway. Each building environment monitoring subsystem comprises an environment data acquisition module used for acquiring environment data of a monitored building area, and the remote building environment management center analyzes and manages the environment data and outputs abnormal environment data and corresponding alarm information. According to the invention, each building environmentmonitoring subsystem collects related real-time data in the building and transmits the data to the remote building environment management center, so that remote supervision and recording of personnelaccess and monitoring and early warning of the environment can be realized, and the system is more user-friendly and intelligent.

The invention provides an indoor monitoring device for the elderly at home. The indoor monitoring device comprises a monitoring assembly and a power supply used for supplying power to the monitoring assembly. The monitoring assembly comprises a single-chip microcomputer, a WIFI module, a clock module, a memory, a voice alarm and a GSM module. The single-chip microcomputer is connected with the voice alarm and the memory. The single-chip microcomputer is wirelessly connected with a wireless router through the WIFI module. The wireless router is arranged in a room where the elderly at home is located. The single-chip microcomputer is in wireless communication with a mobile terminal through the GSM module. The single-chip microcomputer confirms whether the WIFI module and the wireless router are in a connection state or not, and when the disconnection time of the WIFI module and the wireless router exceeds a set time, the single-chip microcomputer controls the voice alarm to carry out voice prompt early warning, and the single-chip microcomputer sends early warning information to the mobile terminal through the GSM module. The indoor monitoring device for the elderly at home can realize monitoring and early warning when the elderly at home leaves home, and is relatively high in accuracy, relatively low in cost and beneficial to use.