39results about How to "Realize intelligent early warning" patented technology

The invention discloses an intelligent early warning and fire extinguishing robot. The intelligent early warning and fire extinguishing robot is formed in the mode that a temperature sensor, a smoke sensor, a flame sensor, a pan-and-tilt camera, a two-freedom-degree mechanical arm, a fire extinguisher and a controller are installed on a wheel type vehicle, the two-freedom-degree mechanical arm is installed on the side of the fire extinguisher in a surrounding mode, and the temperature sensor, the smoke sensor, the flame sensor, the pan-and-tilt camera, the two-freedom-degree mechanical arm are connected with the controller in an electric loop mode. The intelligent early warning and fire extinguishing robot is high in anti-interference ability, good in space applicability, capable of monitoring fire flame videos of a tiny fire source at the beginning of a fire, high in fire early warning accurate and low in false alarm rate.

The invention provides a wireless network cloud platform system based on lighting nodes. The wireless network cloud platform system comprises a wireless gateway, at least one wireless lighting driver, at least one wireless lighting controller, at least one positioned terminal and a cloud server client side. A cloud server is connected with a wireless gateway, issues configuration information to the at least one wireless lighting driver and the at least one wireless lighting controller for configuration, controls the at least one wireless lighting driver and judges whether faults exist in a lighting line or not according to a current and energy consumption of the lighting line. Position monitoring is carried out on the positioned terminal according to the positioning information of the positioned terminal, the environment in a preset area is monitored according to environment parameters, and monitoring data are displayed to a user. According to the embodiment, wired lighting control is replaced with the wireless lighting, and labor cost and material cost can be saved. In addition, lighting energy consumption is monitored in real time, dimming is carried out according to current illuminance, and therefore electric energy consumption can be saved.

The invention provides a stirring device production quality monitoring system based on multiple data sources and a method, and relates to the technical field of stirring device production quality monitoring. A data acquisition module is used for acquiring production data; a data storage module, a data type judgment module, a curve drawing and analysis module, an acquired data authenticity analysis module and a production quality analysis module in a data analysis system are used for carrying out deep analysis on the production data and monitoring operation states of stirring devices, authenticity of the acquired data and whether the production quality meets a regulated requirement. A human-machine interaction interface displays monitoring results. According to the invention, dynamic weighing accuracy of stirring devices in a blending process can be effectively monitored; it is achieved that an intelligent early warning is given out for fault stirring devices, and the operation states of the stirring devices, whether the acquired data is true and accurate and whether the production quality meets a regulated requirement are monitored, so quality risks are effectively eliminated, and powerful technical support is provided for stabilized soil / concrete / mixture quality monitoring of a construction project.

The invention discloses an overhauling operation control method based on a mobile terminal. The method comprises the following steps: constructing an overhauling operation control platform based on the mobile terminal; constructing a software platform; and the software platform formulating a corresponding operation task according to the overhauling operation task, setting an instruction template and transmitting the task instruction to the corresponding first to Mth mobile terminals, the mobile terminal locking other mobile terminals and viewing the operation progress in real time and the like. The method has the advantages: real-time information communication is performed on the site operation condition by the mobile terminal, so that low efficiency caused by multiple calls or repeated communication with paper is avoided; and an operator uses the mobile terminal to remotely control an intelligent socket to achieve the purposes of intelligent power disconnection and power connection, so that intelligent early warning of potential safety hazards is realized, information can fed back to the mobile terminal and a mobile overhauling operation controller in real time, and the safety of site operation is ensured.

The invention discloses a vehicle-mounted traffic accident early warning device based on cloud edge combination, which is used for solving a problem of providing intelligent early warning based on historical accident information, a current vehicle speed and road environment information before a road traffic accident occurs. The device comprises an accident data acquisition module, a cloud platform, an accident model prediction module, a vehicle-mounted terminal, a GPS positioning module, a trigger early warning module and a weather early warning module. The accident data acquisition module comprises an accident data acquisition unit and a non-accident data acquisition unit, and the accident data acquisition unit is used for acquiring accident data and sending the accident data to the cloudplatform. Weighted model training is performed through a strategy tree, a neural network, a support vector machine and a multiple regression model, advantages of multiple models are concentrated, andprediction result joint optimization and accuracy are achieved; forecast information is displayed and broadcasted by a voice through the vehicle-mounted terminal; and intelligent early warning is achieved by carrying out trigger analysis on a driven vehicle, a person and an environment.

The invention discloses a method used for reminding a user who is to go out and applied to an intelligent terminal as well as the intelligent terminal. The method used for reminding the user who is to go out comprises steps as follows: detecting the weather condition of the area where the intelligent terminal is located, judging whether the user of the mobile terminal is to go out or not if the weather condition of the area where the intelligent terminal is located is detected to be rainy or about to be rainy, and outputting a reminding signal to remind the user that it rains or is about to rain in the area where the intelligent terminal is located if the user is to go out. With the adoption of the technical scheme, an intelligent prewarning can be provided for the user who is to go out.

The invention provides a smart city public safety big data warning platform which comprises a warning system, a communication module, a cloud data platform and an information receiving terminal connected in turn. The warning system comprises a natural disaster warning system, an accident disaster warning system, a public health event warning system, and a social safety event warning system. The information receiving terminal comprises a PC or a mobile terminal which displays warning information through a warning application interface. Warning information monitored by the natural disaster warning system, the accident disaster warning system, the public health event warning system and the social safety event warning system is transmitted to the cloud data platform through the communication module, and the warning information is sent to the PC or the mobile terminal and displayed through the warning application interface. Thus, the public can be well connected with the warning system andcan be informed of the warning information in time only through a warning application, and the operation is convenient and quick.

The invention discloses a system for vehicle-mounted RFID information data relay transmission, which comprises a vehicle-mounted receiving end, a vehicle-mounted relay end, and a vehicle-mounted transmitting end, wherein the vehicle-mounted receiving end is used for receiving signal data transmitted by surrounding vehicle-mounted transmitting ends or signal data transmitted by road-side transmitting ends; the vehicle-mounted relay end transmits the signal data received by the vehicle-mounted receiving end to surrounding other vehicle-mounted receiving ends and road-side receiving ends in a covering mode, or carries out amplification processing on the signal data received by the vehicle-mounted receiving end and then transmits the signal data to the surrounding other vehicle-mounted receiving ends and road-side receiving ends in a covering mode; and the vehicle-mounted transmitting end transmits the vehicle driving state parameters to the surrounding other vehicle-mounted receiving ends and the vehicle-mounted relay ends in a covering mode or transmits the parameters to the road-side receiving ends in a covering mode. Through building a relay system between vehicles, the problem that the metal vehicle body blocks RFID signals can be overcome, effective reading of the driving state parameters between the vehicles can be ensured, and the purposes of intelligent early warning and driving vehicle safety control can be realized.

The invention provides an intelligent early warning model establishment method for an alarm occurrence area, which is applied to the technical field of alarm early warning, and comprises the followingsteps: acquiring a user and position information of the user from a database according to a preset time period, and acquiring pedestrian flow information based on the user and the corresponding position information of the user; determining a target area needing alarm early warning; acquiring historical alarm data of the target area; training a long-term and short-term memory model by adopting thehistorical warning condition data and the pedestrian volume information; wherein the target function is used for calculating an alarm occurrence probability according to prediction information corresponding to a to-be-predicted area, and the to-be-predicted information comprises time required to be predicted, a pedestrian volume mean value in the prediction time and influence factors in the prediction time. The invention further provides an intelligent early warning model establishing device for the alarm occurrence area and a storage medium, and intelligent early warning is carried out through the pedestrian flow information and the historical alarm information.

The invention belongs to the power system field, relates to the application of an infrared thermal imaging technology carrying out fault detection on power equipment and especially relates to a powerequipment state intelligent early warning method based on an infrared image. The method is characterized by constructing an infrared atlas database; carrying out image processing; carrying out character area identification; carrying out limit segmentation; carrying out character identification; constructing an artificial neural network; and acquiring an early warning analysis report. In the invention, the health state evaluation and the intelligent early warning of power equipment based on the infrared image are realized, the high-efficiency management of the infrared image can be realized, and the various characteristic parameters of the infrared image of the power equipment are automatically extracted. The artificial neural network suitable for power equipment maximum operating temperature prediction is designed, and a load current, an atmospheric temperature, relative humidity, a reflection coefficient, a reflection temperature, a photographing distance and a radiation coefficient are taken as inputs so as to realize the power equipment maximum operating temperature prediction. Based on a predicted maximum operating temperature, the health state evaluation and the intelligent early warning of the power equipment are realized.

The invention relates to a dynamic early warning method for third-party construction along a pipeline based on SVM and time-frequency domain features. The method comprises the steps of S1 collecting waveform data in real time, carrying out the threshold triggering and data preprocessing of the waveform data, and obtaining a suspicious waveband and a corresponding suspicious defense area; S2 extracting corresponding time domain features and frequency domain features according to the waveform of the suspicious waveband, and obtaining dynamic space-time big data information corresponding to the suspicious defense area, wherein the dynamic space-time big data information comprises time information, GIS information, weather information and high consequence area information; and S3 inputting thetime domain features, the frequency domain features and the dynamic space-time big data information into an SVM prediction model, and judging whether a vibration source corresponding to the waveformof the suspicious waveband is constructed by a third party or not in real time so as to perform early warning. According to the method, dynamic space-time big data information of each defense area isconsidered, and dynamic intelligent early warning is realized for third-party construction in combination with time domain features and frequency domain features of waveforms.

The invention provides an intelligent fire-fighting data visual monitoring system and a monitoring method thereof, and relates to the technical field of fire-fighting safety. The system comprises a data parsing module; a data model comprising an equipment model and an interface model; and a smart screen. The method comprises the following steps: S1, analyzing and classifying specific contents of the fire-fighting equipment in response to a received fire-fighting equipment state message; S2, monitoring the classified fire-fighting equipment state messages in response to the classified fire-fighting equipment state messages, and triggering early warning when the state messages are changed or abnormal; S3, updating the state of the fire-fighting equipment in response to the early warning; andS4, displaying the message processed in the step S3. According to the invention, through a remote multi-dimensional three-dimensional visual monitoring technology, real-time monitoring of the state of the fire-fighting equipment is realized; a data model analysis technology is used for analyzing the life cycle and the state information of the fire-fighting equipment in real time, safety diagnosis, intelligent early warning and accurate maintenance of the fire-fighting equipment are achieved, and the fire-fighting guarantee cost is reduced.

The invention relates to the technical field of dangerous rock mass monitoring and early warning, in particular to a dangerous rock mass acousto-optic combined intelligent monitoring and early warning method. The method comprises the steps of S1, selecting an object, specifically, selecting a dangerous rock mass below which a threatened object exists; S2, installing instruments, specifically, installing an alarm instrument on a stable mountain body on the inner side or the side of the dangerous rock mass, wherein the alarm instrument comprises a control module, and installing a monitoring instrument on the dangerous rock mass or between the dangerous rock mass and the mountain body; and S3, performing initial data acquisition, specifically, acquiring data of the size, shape, height, inclination direction, inclination angle, displacement, crack width, landform conditions of the dangerous rock mass and distribution of threatened object through two modes, namely, the monitoring instrument and manual observation, and inputting the manually acquired data into the monitoring instrument. According to the technical scheme, the dangerous rock mass is monitored in real time, meanwhile, when the dangerous rock mass collapses, a sound-light alarm signal is sent out at the first time, a safe escape path is pointed out to threatened people, and the personal safety of the people is ensured.

The invention provides a lift car fault judgement method and system based on a multi-axis sensor technology. The system comprises a multi-axis sensor unit, a data acquisition unit, a platform processing unit and a fault early-warning unit; the multi-axis sensor unit is used for acquiring the acceleration and the deceleration of a car, the running speed and vibration data in X-axis, Y-axis and Z-axis directions in real time; the data acquisition unit is used for acquiring data fed back by the multi-axis sensor unit and uploading the data to the platform processing unit and comprises a wirelessmodule connected with the network; the platform processing unit is used for storing and analyzing the data and starting early warning for data exception conditions found through analysis; and the fault early-warning unit is used for displaying early-warning prompts when running conditions of the car are abnormal and comprises a WEB application and an APP. According to the method, self-monitoring,self-diagnosis and intelligent early-warning of faults including the acceleration, the deceleration, the real-time speed, the positional deviation, abnormal vibration in the X-axis, Y-axis and Z-axisdirections and the like during running of the lift car are realized on the basis of the system.

The invention belongs to the technical field of security along oil and gas pipelines, and particularly relates to a pipeline line third-party construction early warning method based on time domain features and space-time information. The method comprises the following steps: S1, acquiring waveform data along a pipeline in real time through distributed optical fiber sensors laid along the pipeline,and performing threshold triggering and data preprocessing on the waveform data to obtain a suspicious waveband and a suspicious defense area corresponding to the suspicious waveband; s2, extractingcorresponding time domain features according to the waveform of the suspicious wave band, and obtaining time period features and geographic features corresponding to the suspicious defense area; and S3, inputting the time domain features, the time period features and the geographic features into an XGBoost classification model, and judging whether a vibration source corresponding to the waveform of the suspicious waveband is constructed by a third party or not in real time so as to carry out early warning. According to the method, the time period characteristics and geographic characteristicsof each defense area are considered, and the time domain characteristics of the waveform are combined to realize intelligent early warning for the third-party construction along the pipeline.

The invention discloses a risk assessment system for realizing intelligent early warning. The system comprises a data acquisition unit and a risk factor input unit; the output end of the data acquisition unit is connected with a data editing module; the output end of the data editing module is connected with a data analysis module; the output end of the data analysis module is connected with a risk assessment unit; the output end of the risk assessment unit is connected with a wireless transmission module; the output end of the wireless transmission module is connected with a data storage device; the output end of the data storage device is connected with a GIS data visualization platform; the output end of the risk assessment unit is connected with a risk test module; and the output end of the risk test module is connected with a risk alarm unit. The invention belongs to the technical field of expressway management. With the risk assessment system for realizing intelligent early warning adopted, the intelligent risk early warning of highway construction data can be realized, and information assessment efficiency can be improved.

The invention discloses a user going-out reminding method applied to an intelligent terminal and an intelligent terminal. The abovementioned user going-out reminding method includes: judging whether a user of an intelligent terminal goes out; if the user is judged to go out, detecting weather conditions of an area where the intelligent terminal; and if the weather conditions of the area where the intelligent terminal are detected to be raining or about to rain, outputting a reminding signal, so as to remind the user that it is raining or is about to rain in the area where the intelligent terminal is. The technical scheme provided by the invention can provide intelligent early warning for the user to go out.

The invention discloses a vehicle-mounted traffic accident early warning device based on the combination of cloud and edge, which is used to solve the problem of providing intelligent early warning based on historical accident information, current vehicle speed and road environment information before road traffic accidents occur; it includes an accident data acquisition module, Cloud platform, accident model prediction module, vehicle terminal, GPS positioning module, trigger warning module and weather warning module; accident data collection module includes accident data collection unit and non-accident data collection unit; accident data collection unit is used to collect accident data and The accident data is sent to the cloud platform; the present invention performs weighted model training through policy trees, neural networks, support vector machines and multiple regression models, and uses the advantages of multiple models to achieve joint optimization and accuracy of prediction results; Forecast information is displayed and voice broadcast; through trigger analysis of driving vehicles, people and the environment, intelligent early warning is realized.

A method for counting the fixed number of staff in the dangerous workplace with multiple entrances and exits is provided. The method comprises: using sensing equipment to collect information of the number of in and out staff; taking an information management system as the intelligent staff counting information platform to combine with the sensing equipment under the agreement so as to collect information of the number of the in and out staff; and carrying out analysis and comparison between the staff counting information and the critical number of the staff required by the workshop, and when an overstaff situation is founded, performing sound and light prompts by using an alarm light, and generating alarm records in the system for user inquiries.

The invention discloses a method used for reminding a user who is to go out and applied to an intelligent terminal as well as the intelligent terminal. The method used for reminding the user who is to go out comprises steps as follows: detecting the weather condition of the area where the intelligent terminal is located, judging whether the user of the mobile terminal is to go out or not and outputting a reminding signal to remind the user that it rains or is about to rain in the area where the intelligent terminal is located if the weather condition of the area where the intelligent terminal is located is judged to be rainy or about to be rainy and the user is to go out. With the adoption of the technical scheme, an intelligent prewarning can be provided for the user who is to go out.

According to the invention, real-time monitoring and behavior analysis are carried out on an operator, non-standard operation and behaviors are intervened, video monitoring and error prevention are integrated, and post-event tracing of an accident can be realized; and an intelligent analysis function is achieved, specific events and user behaviors are monitored, and intelligent early warning of accidents is achieved. A method comprises the following steps: erecting a plurality of cameras on a transformer substation equipment site, acquiring video signals of the cameras in a transformer substation, and transmitting the video signals to a computer; building an artificial intelligence OpenCV visual library, and utilizing a GPU parallel processing technology; and constructing a deep neural network to recognize the image, and realizing behavior analysis, judgment and monitoring of an operator. Video monitoring, intelligent analysis, behavior monitoring and anti-misoperation locking technologies are deeply fused, and when a specific behavior is found, an alarm is automatically generated to inform monitoring personnel of timely early warning, linkage and processing.

The invention discloses an intelligent early warning and fire extinguishing robot. The intelligent early warning and fire extinguishing robot is formed in the mode that a temperature sensor, a smoke sensor, a flame sensor, a pan-and-tilt camera, a two-freedom-degree mechanical arm, a fire extinguisher and a controller are installed on a wheel type vehicle, the two-freedom-degree mechanical arm is installed on the side of the fire extinguisher in a surrounding mode, and the temperature sensor, the smoke sensor, the flame sensor, the pan-and-tilt camera, the two-freedom-degree mechanical arm are connected with the controller in an electric loop mode. The intelligent early warning and fire extinguishing robot is high in anti-interference ability, good in space applicability, capable of monitoring fire flame videos of a tiny fire source at the beginning of a fire, high in fire early warning accurate and low in false alarm rate.

The invention discloses a bridge ship collision prevention monitoring and early warning system comprising a detection subsystem used for collecting radar signals, image signals and Beidou positioning signals of coming and going ships and obtaining dynamic information of the coming and going ships; the calculation subsystem is used for predicting surrounding dangerous conditions through a situation awareness theory according to the dynamic information, and generating an early warning signal and a navigation instruction for avoiding the dangerous conditions; the execution subsystem is used for sending an early warning signal and a navigation instruction to the passing ship according to the early warning signal and starting a bridge passive protection device; a data model capable of expressing multi-source, multi-dimension and multi-scale channel elements is designed, a data model conversion scheme is formulated, data geometric position characteristics are analyzed, a risk theoretical model of ship collision bridges and other offshore structures is constructed, a multi-source fusion processing algorithm is developed, and intelligent early warning of ship collision bridges and other offshore structures is achieved.

The invention discloses a method used for reminding a user who is to go out and applied to an intelligent terminal as well as the intelligent terminal. The method used for reminding the user who is to go out comprises steps as follows: detecting the weather condition of the area where the intelligent terminal is located, judging whether the user of the mobile terminal is to go out or not if the weather condition of the area where the intelligent terminal is located is detected to be rainy or about to be rainy, and outputting a reminding signal to remind the user that it rains or is about to rain in the area where the intelligent terminal is located if the user is to go out. With the adoption of the technical scheme, an intelligent prewarning can be provided for the user who is to go out.

The present invention provides an access control system and method for densely populated entrances and exits based on face recognition and video fences. The method includes acquiring real-time video streams captured by surveillance cameras; analyzing the real-time video streams to obtain feature values ​​of human faces; The eigenvalues ​​of the face track the face, and at the same time capture the face image of the tracked face continuously; when the tracked face enters the preset electronic fence area, select the best face image for face recognition , to obtain face identity information; perform authority authentication and identification based on face identity information, and perform different plots on the image; when a human body is detected to enter the control area, trigger the judgment of personnel access authority. The invention can solve the contradiction between traffic speed and personnel identity identification at densely populated entrances and exits, realize personnel identity identification and access control in an open environment, and achieve the effects of rapid passage, effective identification and access control without active cooperation of personnel.

The invention belongs to the technical field of liquid level monitoring and early warning equipment, and relates to an engine lubricating oil liquid level monitoring and early warning device. A shell of the engine lubricating oil liquid level monitoring and early warning device is of a hollow cuboid structure with an opening formed in the upper end face. Threaded through holes II are formed in the upper portions of the bottom face and the left side wall face of the shell correspondingly. An opening in the upper end of the shell is sealed by an end cover. An oil scale is arranged in the shell. The upper end of the oil scale is fixed to the end cover, and the lower end of the oil scale is located above the threaded through hole II in the bottom face of the shell. A liquid level switch I and a liquid level switch II in the shell are fixed to the end cover through a sleeve pipe I and a sleeve pipe II correspondingly, the center line of a circular pressure container on the liquid level switch I reaches the lubricating oil allowable highest position, and the center line of a circular pressure container on the liquid level switch II reaches the lubricating oil allowable lowest position. The top of the sleeve pipe I and the top of the sleeve pipe II are connected with an audible and visual alarm. The engine lubricating oil liquid level monitoring and early warning device is high in integration level, compact in structure and convenient to install and operate.

The present invention discloses a user travel reminder method applied to an intelligent terminal and the intelligent terminal, wherein the user travel reminder method includes: judging whether the user of the smart terminal is traveling; if it is judged that the user is traveling, detecting the smart terminal The weather conditions in the area where the smart terminal is located; if it is detected that the weather conditions in the area where the smart terminal is located is raining or is about to rain, a reminder signal is output to remind the user that the area where the smart terminal is located is raining or is about to rain. The technical solution provided by the invention can provide intelligent early warning for users to travel.