92results about How to "Realize automatic warning" patented technology

The invention discloses a cloud mining network public opinion monitoring system based on a characteristic model, which comprises a cloud computing resource pool, a system monitoring and load measuring portion, a cloud computing resource scheduling service portion, a multi-platform public opinion publishing service portion and a user interactive interface. User interfaces corresponding to different public opinion publishing modes are created, and each interface realizes user registration and login, public opinion monitoring configuration and management and public opinion transmitting functions, is used by a user to realize authorized access and check the latest public opinion information and realizes personalized configuration of public opinion monitoring. The system has the advantages of high running efficiency and low cost, and is applicable to the technical field of electronic information.

The invention relates to a highway illegal parking detection method, belonging to the technical field of image processing. According to the method, firstly, a highway in an area is subjected to video sequence extraction and code identification, and a high speed road video sequence information base is established; secondly, the road video sequence image processing is carried out, a moving vehicle license plate is extracted and the center of mass of a vehicle is calibrated, the distance from the center of mass of the vehicle to a highway initial position in the area is recorded, and a vehicle real-time position information base is established and stored; then a driving vehicle is subjected to tracking calibration, the change rate of the vehicle to the initial position in the video sequence is judged, a vehicle driving state is judged, and the illegal parking time of the vehicle is calculated; and finally an illegal parking warning is emitted according to the illegal parking time length of the vehicle at the highway. According to the method, a designated road can be subjected to real-time monitoring, vehicle illegal parking can be timely found, potential traffic accidents can be avoided, the accuracy of illegal parking early warning is greatly raised, and the consumption of manpower resources is reduced.

The invention discloses a random forest-based tunnel operation state sensing model building method. The method comprises the steps of randomly selecting ntree new self-service sample sets, constructing ntree decision trees, randomly selecting mtry features at each node of the decision tree, selecting out one feature to perform branch growth to obtain unbiased estimation of a random forest generalization error, and calculating program running time; and iteratively running all ntree and mtry parameter combinations, outputting unbiased estimation and running time corresponding to all the parameter combinations, determining an optimal ntree and mtry parameter combination value in a random forest, and building a tunnel operation state sensing model. According to the method, a capability of analyzing complex related relationship data can be improved and an over-fitting phenomenon does not easily occur; an actual prediction result shows that the average sensing precision, the recall rate andthe F measure are all superior to those of a comparison model; tunnel operation state change requirements can be better met; and accurate real-time sensing and prediction can be provided for tunnel operation states.

The invention belongs to the technical field of hidden trouble prediction and management for trees in the channel of an overhead transmission line and specifically relates to a tree obstacle hidden trouble automatic pre-warning system for an overhead transmission line and a pre-warning method for the above system. The method comprises the steps of carrying out the field survey to conduct the data statistics on the hidden troubles of trees in an overhead transmission line protection zone and construct a hidden trouble database for trees in the channel of an overhead transmission line; conducting the traversing treatment on all trees in the tree hidden trouble database at regular intervals; for any tree with a hidden trouble, calculating the current distance between the tree and a corresponding conductive wire, judging the type of the tree hidden trouble, automatically pre-warning, dynamically evaluating the risk of the hidden trouble according to provisions on the safe operation of the overhead transmission line, and dynamically updating the hidden trouble data of the tree in real time. According to the invention, the problem that existing tree obstacle hidden trouble-shooting methods are time-consuming, labor-consuming and easily cause the artificial misjudgment can be solved. Meanwhile, the pre-warning information is provided timely. The damage to both the personal safety and properties, due to the occurrence of tree obstacle hidden hazards, can be prevented.

The present invention relates to a wifi-based family courtyard intelligent nursing device, which comprises a video acquisition module, an environment data acquisition module, a cloud platform, an irrigation and light module, a system core module and a control terminal. Through the adoption of the nursing device, under the condition of unmanned maintenance, users can carry out real-time monitoring for a courtyard environment and nursing for plants in families through a computer WEB page or a mobile terminal. The device provides different control methods and supports WeChat control, and personalized nursing and monitoring solutions can be set according to different environments and plants.

The invention relates to the technical field of on-line monitoring of electric power system equipment, in particular to an electric field induction powered disconnector contact temperature online measurement and wireless transmission device. The electric field induction powered disconnector contact temperature online measurement and wireless transmission device is characterized by comprising a suspension measurement device mounted on each disconnector conductive arm (5) for a transformer substation and a coordinator in wireless communication with all the suspension measurement devices, wherein the coordinator is connected with a background PC (personal computer) through an optical fiber. The electric field induction powered disconnector contact temperature online measurement and wireless transmission device is mainly characterized in that a temperature measurement device is suspended at a position, close to each contact, on each disconnector conductive arm, a temperature measurement element is embedded at each suspension point and can directly measure the temperature nearby each contact, the whole device is used for taking energy by the aid of a high-voltage electric field for inducing alternation and belongs to a self-powered system without an additional power source, and a measurement result is transmitted to a master control room of the transformer substation. The technical scheme has obvious advantages over a temperature measurement scheme adopting a solar battery and magnetic field coil power supply mode provided currently.

An intercity or urban rapid air rail transport system comprises stations, supporting columns, rails, turnouts, rail cars, a power supply system and a control system. The rails are erected in the air by means of the supporting columns. The stations are arranged at endpoints or client sides of the rails. The stations, the rails and the turnouts form a rail transport network system like the Internet. The rail cars move along the rails by means of the power supply system and the control system. The intercity or urban rapid air rail transport system can be manufactured at low cost within a short period of time in batches, transport efficiency can be greatly improved, transport cost can be reduced, traffic accidents can be eradicated, and the intercity or urban problems of traffic jam and environment pollution are effectively solved.

The invention relates to a syndrome early warning method and device based on a data model, a medium and equipment, and relates to the technical field of medical big data processing. The method comprises the steps: obtaining original medical data, and calculating the number of target patients with the same syndrome case in the original medical data through a syndrome monitoring model; when it is determined that the number of the target patients is larger than a first preset threshold value, extracting attribute information of the target patients with the same syndrome case, and generating a group set according to the attribute information of the target patients; according to the attribute information and a multi-dimensional space-time relation calculation model, calculating a space-time relation graph of the target patients included in the group set; and finally, calculating the number of the to-be-predicted objects and the infection probability of the to-be-predicted objects included in the time-space relation graph, and performing early warning on the syndrome according to the number of the target patients, the number of the to-be-predicted objects and the infection probability of the to-be-predicted objects. The method and device can increase the early warning efficiency.

The invention discloses a vacuum explosion effect testing device, which comprises a tank body; the upper end of the tank body is respectively connected to a vacuuming device and a smoke exhausting andgas exchanging device through pipelines; a spray device is arranged at the top of the tank body; a toxic and harmful gas monitoring device is also arranged in the tank body; a wiring sealing window and an observable window are arranged on both sides of the tank body; a double-layer sealing door is arranged at one end of the tank body; a detachable device table and a replaceable cushion are arranged at the bottom of the tank body. Due to the arrangement of a spray dust reduction system, a purification system, and the toxic and harmful gas monitoring device, toxic and harmful substances generated in explosion are monitored, prescribed, removed and absorbed, thereby ensuring the safety of operation personnel performing an explosion effect test in a vacuum environment to the greatest extent.In addition, a damping groove is formed outside the device, and a surface, connected with a base, of the device is filled with a vibration damping material, so that vibration hazards caused by an explosion effect are reduced.

The invention belongs to the field of image photographing radar information processing technology, and particularly to a motor vehicle zebra crossing no-yielding-to-pedestrian early-warning snapshot system based on a radar image camera. The system comprises a radar acquisition module, an image camera acquisition module, a radar early-warning area module and an image camera snapshot module, whereinthe signal output end of the radar acquisition module is connected with the radar early-warning area module. The signal output ends of the radar early-warning area module and the image camera acquisition module are connected with the image camera snapshot module. The system further comprises a system analysis module. The system realizes automatic early-warning and automatic evidence obtaining oflaw breaking behaviors that the motor vehicle does not perform yielding to the pedestrian, and simultaneously is not affected by external environment, light and weather. Furthermore high efficiency and high convenience in operation are realized.

The invention discloses a dangerous explosive and chemical article monitoring platform. The platform is composed of a civil explosive article safety monitoring part, a firework and firecracker flow control part, a highly toxic dangerous chemical article dynamic control part and a bulk petrol sales control part. Through effective control of the four parts, the bottleneck problem in social securityadministration work at present can be effectively solved; all involved articles are subjected to real-time monitoring and analysis, thereby eliminating potential safety hazards; the efficiency of thesecurity administration work at present is improved to the maximum extent, and major and extraordinarily serious safety accidents are reduced and even avoided; and the occurrence probability of illegal criminal cases is reduced.

The invention discloses an online detecting device and a detecting method for integrity of a hollow fiber membrane module. A shading shell is internally provided with a laser transmission system, an optical detection system, a laser receiving system and a display alarm system; the laser transmission system comprises a first laser transmitter and a second laser transmitter; the optical detection system comprises a first optical detector and a second optical detector; the laser receiving system comprises a first signal receiver and a second signal receiver; the display alarm system comprises an alarm and a display; the alarm comprises a third variable resistor and a fourth variable resistor; the fourth variable resistor is connected with an LED (Light Emitting Diode) and a buzzer in parallel; the display comprises a display screen. According to the online detecting device disclosed by the invention, a photovoltaic conversion technology is flexibly used by utilizing the characteristics of good laser directivity, high brightness, strong monochromaticity, high energy density and the like, and the online detecting device has the characteristics of low cost and high sensitivity.

The invention discloses a shortwave receiving antenna efficiency aerial three-dimensional wireless automatic detection system and method. The system mainly comprises a transmitting antenna for test, a lithium battery power supply module, a power amplification module, a wireless network module, a radio frequency generating module, an ARM system main control system, a radio frequency signal acquisition module and the like; the execution and calculation part of the system mainly comprises an unmanned aerial vehicle detection flight path planning module, a detection data analysis, modeling and evaluation module and a record report storage and graphic presentation module; certain radio frequency power signals are radiated to a receiving antenna to be tested in an omni-directional spatial three-dimensional manner; the change conditions of radio frequency signals induced by the shortwave receiving antenna are detected in real time; the actual receiving efficiency and other information of the shortwave receiving antenna are measured, recorded, stored and transmitted; the heath state of the shortwave receiving antenna is judged; and related models are built for the performance change trends, residual service life, availability, and other content of the shortwave receiving antenna, so that comprehensive assessment can be performed.

The invention relates to a structural dynamic response safety monitoring system and method based on a BIM, and the system comprises a structure response information integration module which is used for the integration and visualization of monitoring data based on a BIM platform; and a dynamic real-time safety monitoring module which is used for tracking the structural response of a key member during actual structural construction and application so as to dynamically monitor the structural safety state in real time, to timely give an alarm against a structural behavior abnormality and track andlocate the structural member that has an abnormality. The system and method solve a problem of dynamically tracking and monitoring the structural safety state in real time, improve the structural response and model interactivity, improves the safety monitoring level of the structural construction and application process, and provides a theoretical method and a feasible solution for the safety monitoring and early warning of actual engineering.

The invention discloses a roller coaster track structure health monitoring system based on optical fiber sensing, and the system comprises: an optical fiber grating sensor module which comprises a plurality of optical fiber grating strain sensors and a plurality of three-dimensional optical fiber grating acceleration sensors and is used for the real-time monitoring of key structure parameters; a fiber bragg grating demodulator which is connected with the fiber bragg grating sensor module through an optical fiber cable and is used for demodulating the wavelength signal generated by the fiber bragg grating sensor; and a monitoring host which is used for driving the fiber bragg grating sensor module, controlling demodulation of the fiber bragg grating demodulator and obtaining roller coaster track monitoring parameters through a communication network. The roller coaster track structure health monitoring system realizes lossless and anti-interference real-time monitoring of the roller coaster track, and has the advantages of being easy to install and maintain.

An inter-city or intra-city low-altitude rail transportation network for fast physical distribution comprises stations, supporting posts, a rail, turnouts, a rail vehicle, a power supply system and a control system, wherein the rail is erected in the air through the supporting posts; the stations are arranged at end points of the rail; the stations, the rail and the turnouts form a transportation network similar to the Internet; the rail vehicle runs along the rail under the actions of the power supply system and the control system. The inter-city or intra-city low-altitude rail transportation networks for fast physical distribution can be constructed at low cost, within a short time and in batches; the physical distribution efficiency can be greatly improved, the transportation cost can be greatly reduced, and traffic accidents are avoided; the problems of inter-city or intra-city traffic congestion and environment pollution are effectively solved.

The invention discloses a spatial stereo wireless automatic monitoring system and method for short wave emission antenna efficiency. The system comprises a monitoring, a lithium battery power supply module, an SD card spare storage module, a wireless network module, an integrated test module, an ARM system master control module and other parts. A monitoring control management and data processing server comprises a UAV monitoring flight path planning module, a wireless network module, a monitoring data recording and storage module, a monitoring data analysis and processing module, a record report and graph representing module and a monitoring data modeling and evaluation module. According to the invention, the real-time detection of the change of the spatial electromagnetic signal during the operation of the short wave emission antenna, the measurement, recording and storage of information of the actual radiation efficiency and the like is carried out. The real-time monitoring data combined with the actual flight path of the UAV are processed by the existing stereo space model. Compared with the theoretical threshold, the health status of the short wave emission antenna is determined, and related modes for the performance change of the short wave emission antenna, the remaining life and the availability are established.

The invention provides a complaint early warning processing method and device. The method comprises the following steps: obtaining complaint amount data in a preset first time period, screening abnormal time points from the data of each time point based on a statistics and rule method, labeling the abnormal time points, constructing sample data according to complaint amount data of normal time points and complaint amount data of abnormal time points labeled, and standardizing the sample data according to different complaint businesses and cities; for the data of each time point in the obtainedcomplaint amount data, features are constructed according to the accumulated complaint amount, and the constructed features are screened according to importance sorting; training the standardized sample data and the screened features to obtain a trained fusion model, and performing complaint early warning by using the fusion model; wherein the fusion model is combined with a logistic regression model and a random forest model. Automatic early warning of full-service incoming call complaints in the communication field can be realized, the fault discovery time delay can be shortened, and the early warning result is more accurate.

The embodiment of the invention discloses a complaint hotspot generation method and device for a wireless network, and the method comprises the steps: screening complaint data according to a complaintreason, and obtaining target complaint data of which the complaint category of the complaint reason is a wireless problem; associating the target complaint data to corresponding base stations, sorting the base stations and determining a central point base station; calculating the distance between the central point base station and each base station, and determining all associated base stations ofwhich the distance with the central point base station is within a preset range according to the calculated distance; and if it is judged that the total complaint amount of all the associated base stations is greater than a preset value, generating complaint hotspots of the central point base station and each associated base station in a preset range. The complaint hotspot is generated by screening the complaint data and determining the central point base station and the associated base station thereof, so that the specific problem and reason of the wireless base station can be determined, automatic early warning of the appearing time, position and detailed data of the complaint hotspot is realized, and the discovery capability and monitoring efficiency of regional complaint amount suddenincrease are improved.

The embodiment of the present invention provides an early warning method and system for the loss of communication with a college student, and the method and the system are used for automatic early warning in the loss of communication with a college student. The method of the embodiment of the present invention comprises the steps that: an early warning system carries out association storage of real-time data of the same student in at least one type of campus network system, and at least one type of the campus network system is set in a university; the early warning system analyzes position information of a corresponding student according to the real-time data of the same student in different campus network systems, and the early warning of the loss of communication with a target student iscarried out if the early warning system can not collect the position information of the target student in a preset time length.