47results about How to "To achieve the early warning effect" patented technology

The invention discloses a method and a device for early warning of power equipment. The method for the early warning of the power equipment comprises the following steps of obtaining current weather information of a target area; according to the current weather information, determining the current weather grade of the target area, wherein the current weather grade is used for reflecting the current weather condition of the target area; matching the current weather grade with an early warning threshold value table, wherein the early warning threshold value table comprises a plurality of early warning threshold values, and the early warning threshold values are calculated according to correlation relationship of the historic weather information of the target area and the fault information of the power equipment in the target area; when the current weather grade is matched with the early warning threshold value of the early warning threshold value table, outputting early warning prompting information corresponding to the matched early warning threshold value, and utilizing the early warning prompting information to perform early warning prompt on the power equipment in the target area. The method solves the problem of the prior art that the early warning cannot be timely performed on the weather environment according to the weather environments.

The invention relates to a nuclear turbine system fault early warning method and system, and the method comprises the steps: obtaining the signal data, collected in real time, of a plurality of monitoring parameters of a turbine, and processing the signal data of each monitoring parameter, generating multi-dimensional matrix data according to the processed signal data of the plurality of monitoring parameters; sending the multi-dimensional matrix data into a pre-established state prediction model, and obtaining parameter prediction information of the steam turbine at the next moment accordingto the output of the state prediction model; outputting a state prediction result in real time according to the parameter prediction information; and judging whether the steam turbine is abnormal or not according to the state prediction result, and generating fault early warning information when the steam turbine is abnormal. By implementing the technical scheme of the invention, early warning canbe performed on the degradation state of the steam turbine system in advance, the prediction precision is high, and the reliability is high.

The invention discloses a disease early warning system based on excrement ecological evaluation, a health monitoring ring (or a box body) and a closestool. The system comprises a closestool terminal ecological detection and analysis subsystem and a cloud disease evaluation subsystem. The closestool terminal ecological detection and analysis subsystem comprises a vision module, a spectrum module, agas module, a wireless data transmission module and a display module; the vision module comprises a camera for shooting excreta in a closestool and an image processor for receiving and processing data of the camera; the spectrum module comprises a spectrum emitter used for emitting detection light to excreta and a spectrum receiver used for receiving reflected light of the excreta and analyzing the reflected light. The cloud disease evaluation subsystem is used for receiving processing results of the image processor and the spectrum receiver, comparing and analyzing the processing results with a pre-stored disease information database to obtain a disease evaluation result and sending the disease evaluation result to the display module for display. According to the invention, consumables are not needed, a non-contact detection method is adopted, and various data indexes are combined for comparison, so that the reliability of a comparison result is higher, and the disease evaluation response speed is increased.

The embodiment of the invention provides a monitoring method and device based on a simulated user test. The method comprises the steps of setting a test period for an interface according to the importance degree of the interface; Setting input parameters for the interface according to the function of the interface; Generating a request command according to the input parameters every other test period, the request command being used for simulating a user test on the interface; Executing the request command, carrying out simulation user testing on the interface, and returning a target code by the interface within a preset time length under the condition that the interface is normal; Judging whether a target code returned by the interface is received within a preset time length or not; And ifthe target code returned by the interface is received within the preset time length, determining that the interface is normal. Therefore, according to the technical scheme provided by the embodimentof the invention, the problem of monitoring lag when the system environment is abnormal in the prior art can be solved.

The invention relates to the field of financial science and technology, and discloses an ESG scoring system generation method, which comprises the steps of putting historical data and a first seed vocabulary into an ESG index generator for processing to obtain historical popularity corresponding to a historical index; putting currently obtained first public opinion data and second seed vocabularies into the ESG index generator for processing to obtain a current index and a current popularity; and obtaining an ESG latest score card based on the historical popularity, the current popularity andthe current index. The invention further discloses a device and equipment for generating the ESG scoring system and a readable storage medium. The first public opinion data do not depend on manual analysis; wide public opinion data are used for replacing company disclosure, and the data are comprehensive and independent; the ESG latest score card is obtained on the basis of the historical popularity, the current popularity and the current index, so that the score card can be timely and effectively updated, the score result can achieve an early warning effect, the influence of human factors isreduced, and the score fruit is more objective, consistent and stable.

The invention discloses a cloud early warning system and a method of wires under extreme meteorological conditions. The method includes setting front-end systems on each pylon, setting a vibrating sensor and a meteorological sensor in each front-end system, obtaining vibrating parameters and micro meteorological data around the wires, and transmitting test data of the front-end systems to a remote monitoring system through a communication system; performing grid division on a wire corridor by using the terrain where the wire is located, and obtaining the wind speed distribution of the wire corridor at the forecast moment through combining obtained micro meteorological data with macro weather forecast and calculating a computational fluid dynamics (CFD) model; and obtaining static and dynamic response and ice and snow accumulation conditions of the wires at the forecast moment through a finite element model database of the wire system and combining the obtained wind speed distribution of the wire corridor at the forecast moment. By means of the cloud early warning system and the method, meteorological data of positions where wire system corridors are located in the future can be forecasted accurately, wind, ice and snow resistant capacities of the wire system under meteorological conditions can be simulated, and therefore the early warning effect is achieved.

The invention discloses a remote-control unit with an air detecting function and a detecting and purifying system thereof. The remote-control unit comprises a remote-control unit body. An operation keyboard is embedded in the surface of the remote-control unit body. An indicator lamp and a display screen are arranged on the surface of the remote-control unit body. The indicator lamp is located at one side of the top of the display screen. A storage battery is arranged in the remote-control unit body. A VCO testing sensor is arranged in the remote-control unit body. The storage battery is electrically connected with a controller. According to the remote-control unit with the air detecting function and the detecting and purifying system thereof, as the VOC testing sensor is arranged, the remote-control unit has a function of detecting poisonous gas; as a smoke sensor, a carbon dioxide sensor, a dust concentration sensor and a temperature and humidity sensor are arranged, the impurity content in gas is more precise; as the indicator lamp and the early-warning device are arranged, the early-warning effect of the remote-control unit is achieved.

The invention provides an earthquake alarm, which comprises a magnetic field induction device, wherein the magnetic field induction device comprises a magnetoresistive effect sensing unit, a comparing unit and an earthquake alarm output unit, wherein the output end of the magnetoresistive effect sensing unit is connected with the input end of the comparing unit; the output end of the comparing unit is connected with the input end of the earthquake alarm output unit; the magnetoresistive effect sensing unit is used for detecting a geomagnetic parameter and transmitting the geomagnetic parameter to the comparing unit; the comparing unit is used for monitoring the change of the geomagnetic parameter; and when the earth magnetism changes, the earthquake alarm output unit is used for transmitting prompting information. The invention has the advantages that: the geomagnetic parameter is detected by using the magnetoresistive effect sensing unit, the change of the geomagnetic parameter is monitored by using the comparing unit, promoting information is transmitted by using the earthquake alarm output unit when the external magnetic field change suddenly, and an earthquake is forecasted through the sudden change of the magnetic field, so that the forecasting of the earthquake is more timely and accurate. Moreover, a digitizing technology is adopted for the earthquake alarm provided by the invention, so that an early warning effect is achieved accurately.

The invention belongs to the technical field of smart park management, particularly relates to a smart park fault early warning platform based on digital twinning, and aims to solve the problems that in the prior art, defects still exist in the aspects of detection and early warning, and water, electricity and environmental parameters in a smart park are difficult to effectively monitor and early warn. The system comprises an acquisition platform, a processing platform and a warning platform, the acquisition platform is connected with the processing platform, the processing platform is connected with the warning platform, and the acquisition platform comprises a sensor, an information screening system, a storage system and a monitoring system. The sensor is connected with a water collection system, an air collection system, a temperature collection system, an electric power collection system, a humidity collection system and an inhalable particle collection system, water and electricity environment information in the smart park is collected through the sensor, and warning execution work is carried out after screening, storage, classification and analysis. And the early warning effect is ensured through a feedback system.

The invention discloses a lane line detection method based on threshold self-adaptive binaryzation and connected domain analysis, and the method comprises the steps: dividing a collected image into aroad part and a non-road part through the geometric information of a camera; converting the color road image into a binary image through an adaptive binarization threshold value; subjecting the binaryimage to connected domain analysis, interference of other factors is eliminated, and detecting a correct lane line; and fitting a straight line by utilizing the geometric moment of the connected domain to represent a lane line. Threshold self-adaption binaryzation is achieved by utilizing the characteristic that lane line pixels occupy a fixed proportion in the gray level image, a connected domain screening method is designed according to the characteristics of the connected domains of the lane line part, and the lane line detection accuracy is greatly improved on the premise that the speed is guaranteed.

The invention relates to a mask with functions of early warning, protection and camouflage integration. The mask includes a release paper; a silicone layer, a nutrition liquid layer and a camouflage layer are sequentially arranged on the release paper; the silicone layer is provided with holes for outflow of nutrition liquid in the nutrition liquid layer; the nutrition liquid layer comprises non-woven fabric adsorbed with nutrition liquid; a waterproof layer to prevent nutrition liquid loss from the mask surface is arranged between the nutrition liquid layer and nutrition and the camouflage layer; the camouflage layer is made of nonwoven fabric, camouflage patterns coat on the outer surface, and an early warning component for detecting the environment and warning is fixed on the surface. Through the innovation of solid mask, single white mask is omitted; the patterns can be chosen according to customized requirements; and the mask can also be used for facial camouflage and concealment in the jungle, snow and other places. Due to the addition of the silicone layer in the mask, the usage time is prolonged; and at the same time the warning part has warning function to the user.

The embodiment of the invention provides an intelligent medical information processing method and device. The method comprises the steps: obtaining feature information of a user ; automatically predicting the physical state of the user according to a BP neural network model obtained by pre-training and the feature information to obtain a prediction result corresponding to the user; correcting theprediction result based on a DS evidence theory to ensure accurate determination of the prediction result; and sending the corrected prediction result to a client for display so as to prompt a user totake corresponding measures. According to the scheme provided by the embodiment of the invention, the body state information of the user can be automatically predicted according to the feature information of the user and the pre-trained BP neural network, and the prediction result is sent to the client to be displayed, so that the user can select corresponding measures according to the predictionresult, and an early warning effect is achieved.

The invention discloses a method and a device for determining voltage abnormity of a single battery. The method comprises the following steps of acquiring and processing monitoring data of a target vehicle in a preset time period to obtain valid data of the target vehicle in a standing scene; the valid data being processed into a corresponding valid data table, the valid data table comprising multiple rows of data, and each row of data correspondingly comprising voltages corresponding to the multiple battery cells at the same moment; processing the voltage data contained in the valid data table according to a sliding window algorithm to obtain a plurality of voltage difference deviation degrees corresponding to a plurality of moments of a plurality of battery cells; and according to a plurality of voltage difference deviation degrees corresponding to each battery cell, determining whether each battery cell being abnormal in a preset time period. According to the method, a technical problem of low efficiency of the technical means for monitoring consistency of the battery cells of the automobile in the prior art is solved.

The invention discloses a method and system for monitoring bladder capacity. The method includes: applying ultrasonic waves to the human body; receiving echo signals transmitted back from the walls of human body organs, and converting them into digital amplitude signals after processing; The signal is analyzed to obtain the information image, and the current bladder volume value is obtained according to the information image; it is determined that the current bladder volume value is greater than the bladder safety capacity value, and an alarm signal is issued. The present invention acts on the human body through ultrasonic waves, receives the echo signal reflected by the human body, analyzes and processes the echo signal to obtain an information image, and then analyzes the current bladder volume value from the information image, so that according to the current bladder volume value and The comparison of bladder safety capacity values ​​determines whether to send an alarm signal to the voiding disorder to remind the voiding disorder to urinate, to achieve an early warning effect, to ensure the safety of the patient, and to avoid complications such as bladder-ureteral reflux and hydronephrosis.

The invention provides a road obstacle detector. The road obstacle detector comprises an ultrasonic wave range finding sensor, a control unit, a computer system, an alarm device and a power supply device, wherein the ultrasonic wave range finding sensor includes an ultrasonic wave emitter and an ultrasonic wave receiving device; the ultrasonic wave emitter is used for emitting an ultrasonic wave signal to a front portion; the ultrasonic wave receiving device is used for receiving a reflected ultrasonic wave signal; the control unit calculates a difference value of time for emitting the ultrasonic wave signal and time for receiving the reflected ultrasonic wave signal, compares the difference value and a preset time difference value and determines whether there is an obstacle in front of a road, and if there is the obstacle, the control unit further calculates an obstacle height; the computer system receives the obstacle height and compares the obstacle height with a preset height threshold, if the obstacle height is greater than the preset height threshold, a vehicle can not pass through and an alarm control signal is emitted; the alarm device emits an alarm signal according to an alarm control signal; and the power supply device provides power for an internal source of the vehicle and the ultrasonic wave range finding sensor. By using the detector of the invention, an early warning effect can be reached so that unnecessary losses during a vehicle running process are reduced.

The invention discloses a pulse power supply method for an ultraviolet light sensor. The first voltage and the second voltage alternate repeatedly, the first voltage is 300-350V, and the duration is 50-500ms; the second voltage is 0-24V, and the duration is 500-950ms. After a large number of experimental verifications, when the minimum duration of the normal working voltage is 50ms per second, it can still achieve the early warning effect. Compared with the prior art, the invention adopts the method of pulse power supply, which improves the service life without affecting the early warning function of the ultraviolet light sensor.

The invention provides an early warning device (2) for vibrating screen mesh rupture in a vibration screening mechanism (1). The early warning device comprises a supporting part (21), a rotating arm part (22) and a sensor (231), wherein the supporting part (21) is fixed on a discharging conduit (13) of the vibration screening mechanism (1); the rotating arm part (22) is provided with a pivoting part which is pivoted with the supporting part (21), and a first end which is arranged in a flow path of screened materials; and the sensor (231) is arranged on the supporting part (21) or the rotatingarm part (22) and is used for sensing the pivoting position of the rotating arm part (22) and triggering an early warning signal. The early warning device realizes the early warning effect on the screen mesh rupture according to the flow rate of screened sand discharged from the discharging conduit, avoids inefficient work of a worker for checking the screen mesh every day, realizes real-time monitoring of the screening effect, can timely early warn when the screen mesh is failed, is convenient for the worker to timely repair and replace the screen mesh, and can more accurately control the proportioning of the mixed raw materials.

The invention discloses a power distribution unit PDU, comprising a power distribution jack, a power parameter measuring circuit connected with the power distribution jacks and used for measuring power equipment connected with the power distribution unit PDU, an alarm, a man-machine interaction device and a controller which is connected with the measurement circuit, the alarm and the man-machine interaction device, and is used for controlling the man-machine interaction device to display power parameters, receiving setting of a load threshold through the man-machine interaction device, and controlling the alarm to give an alarm when it is calculated that the real-time load of the cabinet exceeds the load threshold. Operation and maintenance personnel can input a load threshold used for early warning through the man-machine interaction device. Power parameters are calculated and analyzed through the controller, the alarm is controlled to give an alarm when the real-time load of the cabinet reaches a load threshold value, the early warning effect is achieved, operation and maintenance personnel are reminded in time, and losses caused by system shutdown due to overload protection outage are avoided. The invention also provides a cabinet power supply monitoring system which has the above beneficial effects.

The invention provides a method for road intersection traffic signal in-vehicle sensing. The method comprises a first step of setting signal periods and vehicle starting time and yellow time according to intersection geometric conditions; a second step of obtaining the time headway of each entrance channel, and accordingly calculating the hour flow of the entrance channel; a third step of calculating the green lamp proportion of each intersection and accordingly distributing effective green time of each entrance channel; a fourth step of executing traffic signal timing according to distribution results through a traffic instrument; a fifth step of judging whether red time of some entrance in timing results exceeds a signal period T; if the red time of some entrance in the timing results exceeds the signal period T, returning to the second step, or else sending the timing results to a vehicle-mounted receiving end. The invention further relates to a system for road intersection traffic signal in-vehicle sensing.

The invention discloses a control system of a non-pressure storage type explosion suppression system, which comprises a data integration unit, a data acquisition unit, a central control processing unit, an independent control unit, an execution unit and a department cooperation unit, the central control processing unit is used for analyzing data provided by the data integration unit in real time and generating a data trend model, and the independent control unit is used for analyzing and judging the data provided by the data integration unit in advance. According to the control system of the non-pressure storage type explosion suppression system, the optimal explosion suppression path model is calculated through the logic processing module, the situation that explosion suppression is not timely or redundant explosion suppressors are started is avoided, abnormal data and an explosion suppression threshold value are compared through the threshold value detection and analysis module, and a comparison result is generated; and the independent control unit is matched with the execution unit to quickly process abnormal data, so that the reaction time is shortened, and quick explosion suppression is realized.

The invention discloses an intelligent vehicle washing infrared trigger induction system comprising an automatic vehicle washing room which is internally provided with a vehicle washing control and alarm system. The inlet and the outlet of the automatic vehicle washing room are respectively provided with a group of infrared correlation detector. The infrared correlation detectors are connected with the vehicle washing control and alarm system. The intelligent vehicle washing infrared trigger induction system also comprises a cloud side platform and a user mobile phone terminal. The user mobile phone terminal transmits a vehicle washing request to the cloud side platform, receives a vehicle washing verification code transmitted by the cloud side platform and uses the vehicle washing verification code as a vehicle washing application signal to be transmitted to the vehicle washing control and alarm system; receives a vehicle washing start instruction or an illegal intrusion waning instruction transmitted by the vehicle washing control and alarm system; and receives vehicle washing end information transmitted by the vehicle washing control and alarm system, vehicle washing fee information transmitted by the cloud side platform, clears the fee and transmits fee clearing information to the cloud side platform.

The invention discloses an early warning method and device for contracted contracts, relates to the technical field of data processing, and aims to evaluate the risk value of a customer before contract signing with the customer and perform early warning on the potential risk of the customer. The method comprises the steps that after customer information corresponding to a to-be-evaluated customeris received, acquiring customer related data corresponding to the to-be-evaluated customer according to the customer information; evaluating the customer related data based on a preset evaluation ruleset to determine a risk value and an evaluation result corresponding to the to-be-evaluated customer; inputting the risk value and the evaluation result into an early warning model to obtain mattersneeding attention and a suggestion scheme corresponding to the to-be-evaluated client; and outputting and displaying the risk value, the evaluation result, the matters needing attention and the suggestion scheme. The invention is suitable for the process of evaluating the risk value of the customer before the contract is signed with the customer and carrying out early warning on the potential riskof the customer.

The invention discloses an intelligent identification method for green plant diseases and insect pests. The method comprises the following steps: 1) establishing a green plant monitoring map; 2) establishment of green plant type management; 3) recording of green plant disease and insect pest monitoring information; 4) intelligent identification: 4-1) inputting green plant information into a database, and marking geographic information and disease and pest characteristics; 4-2) matching pest and disease events occurring in the region within a period of time, and performing pre-diagnosis; 4-3) performing matching diagnosis on the disease and pest characteristics displayed by the shot picture to determine whether the disease and pest characteristics accord with a pre-diagnosis conclusion; 4-4) accurate diagnosis: when the diseases and pests of the green plants are relatively complex, matching a plurality of results, and performing expert diagnosis on the green plants; and 5) establishing a database, and making the uploaded photo into a file through the marked information.

The embodiment of the invention relates to an infectious disease monitoring and early warning system and method based on a block chain. The method mainly comprises the steps: embedding a customized block chain module into a network direct reporting system without a block chain function in a code implementation mode; adding an original medical institution and a disease control center in the networkdirect reporting system without the block chain function into a blockchain network in a node form through an operation code, so that the blockchain network with a plurality of medical institution nodes and one disease control center node is constructed; and the medical institution node discovering the infectious disease case to be reported broadcasting and reporting the case to other nodes through the blockchain network. An existing network direct reporting system is improved through the blockchain technology, and a longitudinal illness state reporting system of an original system is developed into a longitudinal illness state reporting and transverse information sharing system, so that other sanitary institutions and hospitals in the system know information and take emergency measures, and the early warning effect is achieved.

The electronic monitoring equipment with the early warning function comprises a mounting base, a monitoring camera is fixed to the top of the mounting base, a mounting opening is formed in the centerof the top of the mounting base, a connecting pipe is welded to the inner wall of the mounting opening, a gas collecting hopper is welded to the outer wall of the bottom of the connecting pipe, and acooling fan is fixed to the inner wall of the top of the connecting pipe; smoke sensors distributed at equal intervals are fixed to the inner wall of the bottom of the connecting pipe, a buzzer is mounted on the outer wall of one side of the mounting base, an alarm lamp is fixed to the outer wall of the bottom of the mounting base, and an L-shaped fixing frame is welded to the outer wall of one side of the bottom of the mounting base. According to the invention, the heat dissipation fan is used for extracting external air, the air at the bottom can be exhausted upwards, the exhausted air can dissipate heat of the monitoring camera, when the extracted air passes through the smoke sensitive sensor, the air can be detected, and when smoke is detected, the controller starts the buzzer and thealarm lamp, and sound-light dual alarm is used to give a prompt to people, therefore, the early warning effect is achieved.

The invention discloses a Wi-Fi intelligent line aging monitoring device which comprises a monitoring device body, the monitoring device body comprises a monitoring system, and the monitoring system comprises a main controller module, and a current constant current output module, a voltage acquisition system, an OLED display screen module and a Wi-Fi module which are in signal connection with the main controller module. The current constant current output module is used for inputting constant current to a detected line; and the voltage acquisition system is used for acquiring voltages at two ends of a measured line and transmitting a monitored voltage value to the main controller module. The device is reasonable in design, convenient to use, low in power consumption, high in detection accuracy and suitable for long-time operation, can effectively avoid the fire phenomenon caused by line aging, and is beneficial to market-oriented popularization and application.

The invention provides a method for road intersection traffic signal in-vehicle sensing. The method comprises a first step of setting signal periods and vehicle starting time and yellow time according to intersection geometric conditions; a second step of obtaining the time headway of each entrance channel, and accordingly calculating the hour flow of the entrance channel; a third step of calculating the green lamp proportion of each intersection and accordingly distributing effective green time of each entrance channel; a fourth step of executing traffic signal timing according to distribution results through a traffic instrument; a fifth step of judging whether red time of some entrance in timing results exceeds a signal period T; if the red time of some entrance in the timing results exceeds the signal period T, returning to the second step, or else sending the timing results to a vehicle-mounted receiving end. The invention further relates to a system for road intersection traffic signal in-vehicle sensing.

The invention discloses a photovoltaic generated power short-term forecast-oriented cloud layer tracking and pre-warning method for a foundation cloud chart. The method comprises the steps of preprocessing cloud layer images; identifying a circle center of sun; defining and setting primary and secondary round warning regions; calculating motion information of pixel points of each cloud layer; judging whether the warning regions are accessed or not; and judging time of reaching a sun region by each cloud layer through calculating centripetal distances of the pixel points of the cloud layer. According to the method, the cloud layers of the foundation cloud chart can be better subjected to tracking, motion information analysis and pre-warning; the stability is high; and relatively good idea and method are provided for photovoltaic power generation process-oriented power short-term forecast.