286results about How to "Improve the effect of early warning" patented technology

The invention discloses an internet public opinion analysis method. The method includes the following steps: determining a public opinion event, and collecting public opinion articles related to the public opinion event; preprocessing the collected public opinion articles, and obtaining a vocabulary collection in the public opinion articles to characterize the public opinion articles; performing clustering analysis on the vocabulary collection by adopting a clustering algorithm, generating a plurality of viewpoints of the public opinion event, and calculating a word vector of the viewpoints; extracting a core topic from the vocabulary collection contained in the viewpoints; calculating an emotional score of the viewpoints through an emotional scoring model, and calculating the level of popularity of the viewpoints; and calculating a public opinion index of the viewpoints according to the emotional score and the level of popularity, and determining that the viewpoint of which the absolute value of the public opinion index is greater than a preset threshold is an abnormal viewpoint, generating early warning information according to the abnormal viewpoint and the core topic, and outputting the early warning information. The invention also provides an internet public opinion analysis device and a computer readable storage medium. According to the scheme of the invention, the monitoring and early warning capabilities for public opinions can be improved.

A method and apparatus for signalling the surface operator about downhole conditions. Sensors located downhole collect data while drilling and the data is processed to determine bit failure, for example. When the sensor data indicates a failure, the pressure of drilling mud is varied using a valve on the downhole unit, and this pressure variance is indicated by a pressure gauge visible to the operator. This pressure change tells the operator a failure has been indicated.

The invention discloses a lane level navigation reality augmenting device for assisting a driver. The lane level navigation reality augmenting device is operated through the following steps of comparing vehicle travelling information with a perfect driver model under the same working condition; evaluating the current driving behavior and giving directive opinions on the real-time driving behavior under the current working condition; based on the information of lanes on two sides of a vehicle, obtained by an information acquisition device, analyzing the position of the current vehicle; and based on information of a front barrier, acquired by the information acquisition device, according to the specific travelling working condition of the vehicle, performing screening treatment on the information, transmitting concrete display contents to a head-up display device in a real-time manner, and performing dynamic real-time display. According to the lane level navigation reality augmenting device disclosed by the invention, more accurate lane level navigation and more accurate early warning information are provided for the driver, directive opinions are provided for the driving behavior of the driver, and accurate assisting prompt is provided for the due practical operation of the driver under each working condition.

The invention relates to a high-precision deformation monitoring method of a wide-area electric iron tower based on a Beidou system. The high-precision deformation monitoring method comprises the following steps: judging whether real-time dynamic centimeter-grade monitoring requirements are met or not according to monitoring precision of a Beidou foundation CORS network; if so, obtaining iron tower monitoring data through a network RTK virtual reference station method; otherwise, obtaining the iron tower monitoring data through a double-monitoring-point base line attitude measurement method; processing and analyzing the monitoring data, and calculating an inclined angle and a sedimentation value of the iron tower; if the inclined angle and the sedimentation value of the iron tower exceed limit requirements of operating regulations of a power transmission line, determining a tower position coordinate and issuing a field inspection and maintenance instruction; if the inclined angle and the sedimentation value of the iron tower do not exceed the requirements of the operating regulations of the power transmission line, judging an inclining trend of the iron tower. The monitoring method provided by the invention can be used for carrying out all-weather, all-time and automatic monitoring on the wide-area electric iron tower; potential safety hazards are found and warned in time, and the manual inspection cost is effectively reduced.

The invention relates to an intelligent video monitoring system based on a distributed wireless sensor network. The wireless sensor network is effectively combined with an video image monitoring system, and the system is mainly composed of an intelligent video monitoring device, transmission nodes, sink nodes, a video data cloud service center and a user access terminal. Early-warning information is transmitted to the sink nodes by the intelligent video monitoring device through the wireless sensor network, the information is transmitted to the video data cloud service center or the user access terminal by the sink nodes through an Internet or a mobile communication network, and the video data cloud service center is used for storing historical data and allows the user access terminal to have real-time access. The intelligent video monitoring system based on the distributed wireless sensor network fully combines the advantages of the video monitoring system and the advantages of the wireless sensor network and thus has the advantages of being intelligent in early warning, sensitive in reaction, easy for a user to operate, convenient to deploy and maintain and the like.

The invention discloses a crop growth monitoring platform based on the Internet of Things. The monitoring platform comprises N remote data acquiring sites, at least one remote data sending terminal, a remote data storage server, a crop growth monitoring center and a monitoring data browsing terminal, wherein N is the natural number greater than and equal to 1; each remote data acquiring site is connected with the remote data sending terminal in a wire or wireless way; the remote data sending terminal is used for uploading the environment information data of the crop growth acquired by the remote data acquiring site to the remote data storage server; the remote data storage server is respectively communicated with the crop growth monitoring center and the monitoring data browsing terminal; the monitoring platform is used for uploading and feeding back the environment information data by networking in a single-hop or multi-hop way.

The invention discloses a method and a system for elastically scheduling resources. The method comprises the following steps: acquiring target data, and performing data analysis on the target data toobtain a functional index for representing a service running condition; obtaining a service demand according to the functional index; and acquiring an alarm event and an elastic scheduling strategy, and performing elastic expansion and reduction adjustment conforming to the service demand on container resources in a data center resource pool according to the alarm event and the elastic schedulingstrategy.

The present invention relates to a civil aviation public opinion emotion analysis method. The method comprises the steps of performing searching, preprocessing and word segmentation on microblog texts comprising keywords about civil aviation security public opinions in the internet; building a dictionary; grading each microblog text to obtain a microblog text emotion value; performing objective and subjective judgment on the microblog text according to the emotion value, so as to obtain a threat value of the microblog text for civil aviation security; and determining the threat level of the opinion in the microblog text for civil aviation security according to the threat value. The emotion value of the microblog text is determined by combining text semantics and microblog emoticons, the limitation of the dictionary and semantics rules are overcome, and the emotion value is determined more accurately. Due to full use of the characteristic of the microblog text, the threat level is determined more reasonably. The method differs from a machine learning method and is not trained with a large scale of tagged data, thereby being more suitable for processing of real-time data flow.

The invention relates to a detection method and system for low-altitude wind shear at an airport. The detection method comprises: S01, wind profile radar data of a boundary layer and wind sensor data of an airport runway are collected in real time to obtain wind field information; S02, wind shear information is extracted and outputted; and when the wind shear information exceeds a system threshold value, an early-warning signal inside a system is triggered; and S03, the early-warning signal is determined. Besides, the detection system is composed of a data acquisition module for collection data to obtain wind field information, wind shear data processing module for extracting wind shear feature information, and the wind shear early-warning data output module for determining and outputting an early-warning signal. According to the invention, the air field above the air port is detected in real time based on the wind profile radar data of the boundary layer and early warning of wind shear in a horizontal direction and a horizontal direction is carried out according to the obtained actual meteorological observation data, so that the identification and early-warning capabilities of the wind shear weather of the air port can be enhanced well. Therefore, the method and system have the broad application prospects.

The invention discloses a realizing method for a long-distance electrocardiogram monitoring system with automatic analyzing and real-time information sharing functions. The method comprises the steps that 1, automatic dynamic electrocardiogram analyzing equipment collects electrocardiogram signals and motion sensor signals and analyzes the signals in real time; 2, the automatic dynamic electrocardiogram analyzing equipment transmits analysis results in a wireless mode through a low-power-consumption Bluetooth communication module; 3, a user monitoring terminal receives data, processes the data locally in real time and the transmits the data to a long-distance monitoring terminal; 4, information received by the long-distance monitoring terminal is transmitted to a long-distance index real-time analysis processing and early warning module, and processed results are submitted to an information sharing module; 5, the information sharing module enables received information to be shared in real time according to the preset share range and the sharing mechanism. The method has the advantages that data wirelessly transmitted are reduced to the maximum degree, human intervention is reduced, high automation degree analysis is achieved, and the real-time prediction and early warning ability of severe events is improved.

The invention discloses a dynamic-modification-combined storm rainfall fine alarming method for a power grid zone. The method includes an S1 step of forecasting local precipitation amount, generating forecasting information and extracting forecast values of precipitation at tower positions of a power grid; an S2 step of extracting position information of towers of the power grid meeting condition for rainstorms and storm rainfall information; an S3 step of determining correcting indexes by utilizing history observational data of a meteorological station and corresponding forecast information, correcting the forecast values of precipitation at the tower positions of the power grid of the current date according to the correcting indexes and acquiring the final forecast result; and an S4 step of making priory forecast of power equipment according to the final forecast result and publishing rainstorm disaster early warning information for the towers of the power grid. By adopting the method provided by the invention, accuracy of the storm rainfall forecast value of the current date is improved effectively, so that an effective information guarantee is made for rainstorm disaster early warning.

The invention discloses a large data intelligent analysis platform oriented to the field of social security, comprises a relational network analysis module, which is used for constructing one or morethematic databases according to multi-source data, constructing a network topology structure based on the thematic databases, obtaining labels of each node in the network topology structure, and mining key nodes and/or community structures in the network topology structure according to a set scene task; The trajectory behavior analysis module is used for acquiring different types of trajectory data, generating different types of trajectory models according to the trajectory data, and performing trajectory analysis based on various trajectory models; The video intelligent analysis module is used for obtaining the multi-scale features of pedestrians according to the set pedestrian detection and tracking algorithm, extracting the semantic features, gait features and visual features of pedestrians according to the multi-scale features, so as to identify and search the pedestrians. The invention can effectively improve the pre-warning capability and the pre-warning level, and provides powerful technical support for the emergency response.

The invention relates to an intelligent building monitoring method based on face identification and belongs to the technical field of intelligent buildings. The method comprises the steps of information entering, identity identification, track recording, danger early warning and the like. By adopting the intelligent building monitoring method based on face identification, people's moving tracks are automatically checked, dangerous behavior therein can be automatically identified, and then manual judgment is carried out, so that the early warning capability of a building monitoring system is substantially improved.

A converter transformer operating state on-line audio analyzing and monitoring system belongs to the field of monitoring devices. The system comprises a sound collection unit, a sound transmission unit, a sound analysis unit, a historical sound library, and an analysis result comparison and analysis unit, which are sequentially connected. The sound collecting unit collects actual operating sounds of a converter transformer and converts the sounds into electrical signals. The sound transmission unit transmits the electrical signals converted from the collected actual operating sounds of the converter transformer to the sound analysis unit. The sound analysis unit conducts audio decomposition of the electrical signals converted from the collected actual operating sounds of the converter transformer and forms typical amplitude and frequency curves of the converter transformer on different operating conditions. The historical sound library stores the typical amplitude and frequency curves of the converter transformer on different operating conditions for comparison and comparative analysis. The analysis result comparison and analysis unit is used for analysis and comparison of newly collected audios of the converter transformer, analysis and comparison of historical sounds, and automatic alarming when the collected operating sounds of the converter transformer is abnormal.

The invention provides an intelligent identification system for an exhibition hall and an exhibition hall, the intelligent identification system comprises an identity information acquisition system, an internet database, a personnel drainage module, a safety monitoring module, a positioning monitoring module and a main control center, and the identity information acquisition system comprises a dynamic face acquisition module, a gait acquisition module, a fingerprint acquisition module and an iris acquisition module; According to the invention, the identity information acquisition system is used; Internet database, Personnel drainage module, Safety monitoring module, the positioning monitoring module can effectively carry out multiple effective identification on the identities of visitors entering the exhibition hall and the exhibition hall; the management personnel can effectively manage and control visitors entering the exhibition hall and the exhibition hall; Compared with the priorart, the system has the advantages that emergency situations are avoided, meanwhile, the early warning capability of the emergency situations is improved, an optimized visiting route can be rapidly provided for visitors through the personnel drainage module, crowding caused by the fact that most people visit the same partition is avoided, and exhibition hall exhibition hall personnel distributionis reasonably planned.

The invention relates to a lane departure pre-warning method and system based on a dynamic lane boundary. The method comprises the steps that road images of a road on which a vehicle travels are collected; the road images is detected to obtain lane information; a set vehicle driving type is acquired; the corresponding dynamic lane boundary is calculated according to the lane information and the set vehicle driving type; vehicle current state information including a vehicle longitudinal speed, a yaw angle speed and a relative yaw angle is acquired from a vehicle CAN bus; a lane departure time is calculated according to the calculated dynamic lane boundary and the vehicle current state information; and the vehicle is controlled to implement lane pre-warning according to the lane departure time and a set lane pre-warning threshold. The lane departure pre-warning method and system based on the dynamic lane boundary can calculate the dynamic lane boundary according to different driving types, thereby dynamically adjusting the pre-warning threshold; and the diversification of the driving types can be effectively adapted, the false alarm rate of lane pre-warning is reduced, and the pre-warning performance is improved.

The invention discloses a security protection performance evaluation method applicable to power wireless private network base stations. The method comprises the steps of establishing a base station security protection performance evaluation system which comprises a terminal, a plurality of base stations, a switch, a security encryption gateway, a core network, a network management server, a network management client and a security access platform; performing a base station remote or local malicious control security test and checking device remote connection condition, manager information, user lists and sensitive operation records; performing a base station physical security protection security test, testing whether a plurality of terminals with the same USIM card are connected with the same base station or not, and testing whether the terminals access each other or not; performing an illegal base station interference test; and performing a pseudo base station attack test and testing whether the terminals are hijacked by a pseudo base station or not. According to the method, the information security threat for the base stations can be reduced, and the base station security protection control capability can be improved.

The invention discloses a lane detection method based on Hough transform and terminal equipment. In the method, firstly a road image is filtered through a preset filtering template, and the transverse gradient of each pixel is calculated; then a pixel to be processed with a negative transverse gradient is searched, the transverse gradient of the pixel to be processed is set to be zero, and a gradient image is obtained according to the transverse gradient of each processed pixel; a binarization image corresponding to the gradient image is obtained and is subjected to Hough transform, and a corresponding Hough matrix is obtained; the local maxima search is carried out on the Hough matrix, a local maxima in the Hough matrix is obtained, and the position of a lane in the road image is determined according to the local maxima. Through the scheme disclosed by the invention, the position of the lane in the road image can be detected, compared with the prior art, the amount of computation can be greatly reduced, thus the time spent in lane detection is reduced, and the early warning effect is improved.

The invention discloses a method and a device for precisely sending a message according to a region. The method comprises the following steps of: 100, collecting signaling data occurring in a mobile network by a mobile user, carrying out preprocessing on the signaling data to generate an original message, and then compounding a call record (CDR); 101, obtaining behavior information of the mobile user from the CDR, meanwhile obtaining the position information of the mobile user when a communication behavior occurs, and finally storing identification information and current position information of the mobile user in a memory in real time; 102, according to position information included in a message distribution area, extracting a user number which appears lately in the region from the memory to generate a message; and 103, submitting a generated message into a message center, and carrying out the sending of the message. By the adoption of the method, the regional precise sending of the message is guaranteed, the mobile user in a regional range is enabled to universally receive the content of the message, and disturbance for a user out of the regional range is prevented.

The invention discloses a vehicle intelligent driving safety assistance system. A life feature detector and a fatigue driving early warning camera are respectively connected with a fatigue driving early warning module; the fatigue driving early warning module is respectively connected with a lane deviation early warning module and an automobile anti-corrosion early warning module; a CAN data application module is respectively connected with the lane deviation early warning module and the automobile anti-corrosion early warning module; a camera module is respectively connected with the lane deviation early warning module and the automobile anti-corrosion early warning module; the lane deviation early warning module and the automobile anti-corrosion early warning module are respectively connected with the warning module; an information processing module is respectively connected with the warning module, the fatigued driving early warning module, a positioning module, the CAN data application module, the camera module and an accident rescue calling module; the accident rescue calling module is also connected with a communication module. The vehicle intelligent driving safety assistance system has the advantages that the occurrence rate of traffic accidents is also effectively reduced; when accidents occur, the automatic warning is realized; the collected data is uploaded; the life safety of a driver is effectively guaranteed.