3002results about How to "Improve monitoring efficiency" patented technology

The invention discloses a method and a system for monitoring application logs. The method comprises the steps of capturing wrong information by an application server when exception occurs in a running application program, preprocessing the wrong information to generate an application blog, outputting the application blog to a monitoring server through a Scribe interface, receiving the application blog by the monitoring server through the Scribe interface to conduct sorted storing, reading the stored application log and obtaining the wrong information according to preset classification error types, then judging whether the obtained wrong information satisfies preset alarm strategies or not, and sending the obtained wrong information to a preset target user. By the application of the method and the system for monitoring the application logs, monitoring efficiency of the application blog can be improved, and real-time quality of application blog processing is promoted.

The invention provides an unmanned ship achieving multi-function monitoring of a water area. The unmanned ship comprises a ship hull and a power device, a control apparatus and an application apparatus which are arranged on the ship hull, and five load compartments are arranged on the ship hull; the control apparatus comprises a programmable controller, a navigation device and a communication device, the programmable controller is connected with the power device, the navigation device, the communication device and the application apparatus through communication interfaces, and the programmable controller is used for receiving monitoring data and operation information of the power device, the navigation device, the communication device and the application apparatus and sending control instructions to the power device, the navigation device, the communication device and the application apparatus through the communication interfaces; the ship hull is further provided with a water quality sampling apparatus. The unmanned ship takes the programmable controller as the core, an internal bus and communication board cards are adopted to uniformly manage other apparatuses. The unmanned ship is high in cost performance, convenient to carry and easy to operate, the functions such as environment monitoring, water quality monitoring, water quality sampling and flow rate monitoring are integrated into a whole, and the water area monitoring operation efficiency is greatly improved.

The invention provides a distribution network automatic system based on broadband wireless communication and a realization method thereof. The distribution network automatic system comprises a distribution transformer data collecting and monitoring device, a broadband wireless communication network and a monitoring center, wherein the distribution transformer data collecting and monitoring device is arranged in a transformer site for collecting and processing electric power parameters, transmitting data to the monitoring center by the broadband wireless communication network so as to responds to a control command sent by the monitoring center. In the realization method, the distribution transformer data collecting and monitoring device is connected with the monitoring center by the wireless communication network, a protocol in coincidence with electric power 101 protocol for the data transmission is set; and the distribution transform data collecting and monitoring device collects and processes the existing distribution transform parameters of the distribution transformer and responds to the control command from the monitoring center. The invention adopts a modular system architecture design, has upward and downward compatibility, and can realize various wireless broadband module communication services; in addition, the design of stipulations of an agreement of the monitoring center is based on the electric power 101 protocol and is compatible with protocols realizing different versions.

In a communication system having one or more monitored devices communicatively coupled to a monitoring system, a database having information related to the one or more monitored devices, a method of obtaining and maintaining, in the monitoring system, information related to the monitored devices is described. The method includes enabling the monitoring system to access the database in order to retrieve information related to the monitored devices, populating a first data structure with information retrieved from the database, determining if a monitored device is supported by the monitoring system using information from the database, and establishing communication with the monitored device in order to obtain status information of the monitored device if the monitored device is determined to be supported by the monitoring system.

The invention discloses a method for detecting classroom attention of a student. The method comprises the following steps: acquiring a classroom scene image; positioning a face and calculating an orientation pose of the face; converting a two-dimensional position of the face in the image into a two-dimensional position thereof in a sitting height datum plane in a classroom, and adding a sitting height priori value of the student to obtain a three-dimensional spatial position of the face in the classroom; through combination of the three-dimensional spatial position of the face and the orientation pose of the face, calculating an attention point of the student on a teaching presentation board. The invention further provides a device for implementing the method. The device comprises a first camera, an identity recognition module, a second camera and a monitoring and analysis module, wherein the first camera is used for acquiring a face image of the incoming student at an entrance of the classroom; the identity recognition module is used for acquiring the identity of the student through the face recognition; the second camera is used for acquiring the classroom scene image; the monitoring and analysis module is used for calculating the attention point of the student on the teaching presentation board. After application of the method and the system, the classroom attention of the student can be accurately monitored to help a teacher to adjust the teaching way in time so as to improve the teaching effect.

The invention discloses an electric power intelligent video analyzing and monitoring system and method. The system comprises terminal nodes, intermediate nodes, a total node and client-sides. Each terminal node comprises a camera arranged on an on-site transformer substation, a video collecting module, a video analyzing module, a first central processing module and a first communication module. Each intermediate node comprises a second communication module, a second central processing module and a second data forwarding module. The total node comprises a third communication module, a third central processing module and a third data forwarding module. The electric power intelligent video analyzing and monitoring system and method is high in monitoring efficiency and good in intelligentization degree.

In a communication system having one or more monitored devices communicatively coupled to a monitoring system, a method of obtaining status information of a monitored device is described. The method includes a) accessing a database having information related to a monitored device; b) retrieving the information from the database; c) populating a map structure with the retrieved information; and d) obtaining the status information from one or more web pages associated with the monitored device using information from the map structure. The method further includes iterating the step of retrieving information from the database in order to obtain the status information until the database has no further information that would be used for extracting status information from the one or more web pages of the monitored device.

The present invention relates to a distributed optical-fibre sensing detection method for cast-in-place pile foundation. It is characterized by that it utilizes the sensing property of optical fibre for strain, so that the optical fibre can be implanted in the cast-in-place pile. When the concrete is solidified or loaded externally, said concrete and its peripheral concrete can produce synchronous deformation, its produced strain extent is the strain valve of said pile-body concrete. The invented sensing technique is a distributed data acquisition, namely, it can obtain the strain data of every point of pile-body. Said invention can utilize these data to implement detection and analysis of cast-in-place pile.

The invention provides a radioactive source on-line monitoring system based on an Internet of Things technology. The radioactive source on-line monitoring system comprises RF (radio frequency) cards, field monitoring terminals, a transmission network and an on-line monitoring informatization management platform, wherein the RF card is fixedly arranged in each monitoring site with a preset distance from a radiation source, unique identity information of a radiation source, approved geographical position information and the standard radiation dose rate are stored in the RF cards, each field monitoring terminal is arranged in the corresponding monitoring site, and comprises an RF card reader-writer, a radiation dose rate measuring instrument, video collecting equipment, a GPS (global positioning system) positioning device, a controller, an in-site warning device, a communication interface and a power supplying power supply, and the processor is respectively connected with the RF card reader-writer, the radiation dose rate measuring instrument, the video collecting equipment, the GPS positioning device, the field warning device, the communication interface and the power supplying power supply. The radioactive source on-line monitoring system has the advantages that the radiation source can be comprehensively monitored, then, through a communication network, the monitoring information can be remotely obtained in time, and the monitoring efficiency is effectively improved.

The present invention provides a method of using distributed optical fibers for an advanced monitoring of tunnel surrounding rock deformation. A monitoring device related to the method comprises a distributed optical fiber measuring pipe, an optical fiber sensing line, a Brillouin backscattering light data acquisition facility, and a data processing and analyzing software. The method comprises the steps of symmetrically laying sensing optical fibers on the external surface of a PP-R pipe to manufacture the distributed optical fiber measuring pipe, by which the displacement of soil along the measuring pipe can be obtained; embedding the distributed optical fiber measuring pipe in the drilling hole in the overlying surrounding rock of the tunnel, and injecting couplant to form a measuring pipe of a soil-pipe compatible deformation type, wherein the measuring pipe deforms with the synchronous displacement of the surrounding rock; and realizing monitoring of the deformation or displacement of the surrounding rock by measuring the deformation of the measuring pipe. The method provided in the invention has the characteristics of a distributed type, automatic data acquisition, real time and advanced monitoring, etc., and is suitable for monitoring surrounding rock two dimensional deformation or displacement in the geotechnical engineering field such as a tunnel cavern, a coal mine tunnel, etc.

The invention relates to a rat infestation intelligent monitoring system and method based on a cloud server. The system comprises a thermal infrared camera equipment, an intelligent terminal and a cloud server connected in order; the thermal infrared camera equipment monitors motion trails of the rate by using thermal infrared sensing technology and the camera technology and sends the monitored video frame to an intelligent terminal; the intelligent terminal judges a mobile object, records the current video frame and marks the motion trails, and transmits the video clip with the motion trailsto the cloud server; the cloud server identifies the mobile rate and saves the current video clip, and marks the rat location and the motion trails in the current video clip, and then performs the data summary analysis processing to obtain the related parameter information about the rat activity so as to realize the rat infestation intelligent monitoring. The system performs rough identification through the intelligent terminal and finely identifies the mobile rate in cooperation with the cloud server, the rat infestation intelligent monitoring is realized, the rat infestation can be discovered and controlled as early as possible, the unnecessary loss is reduced, the manual cost is lowered, and the monitoring efficiency is improved.

The invention discloses a method for monitoring the data consistency between a plurality of databases, which comprises the following steps of: receiving verification request information submitted for the data consistency of a service data between the plurality of databases, wherein the request information comprises a service type identifier of the service data and the key field information for the association of the service data between the plurality of databases; reading the configuration information corresponding to the service type identifier according to the request information, wherein the configuration information comprises a data processing rule for the service type and accessed database information; acquiring the corresponding service data from the database accessed by the present service according to the key field information; and verifying whether the service meets a consistency requirement or not according to the data processing rule forthe present service and obtaining a verification result. The invention provides a mechanism which can monitor the data consistency between the plurality of databases without labor resources, effectively save cost and improve monitoring efficiency.

The invention discloses a life-cycle management system and method for tunnels. The life-cycle management system comprises a production management subsystem, a transport management subsystem, a construction management subsystem and an operation management subsystem, wherein the production management subsystem is used for completing quality detection of pipe sheets in various stages of production process during production of tunnel pipe sheets; the transport management subsystem is used for acquiring position information of the pipe sheets during pipe sheet transport; the construction management subsystem is used for correlating recorded various data sources with a BIM (building information model) during tunnel construction, and realizing analogue simulation of tunnel construction process by means of a shied tunneling method through real-time synchronous data operation and the BIM; the operation management subsystem is used for acquiring production, construction and historic health monitoring information of various pipe sheets and determining health conditions of operating tunnels by combining with the analysis of the BIM. By the life-cycle management system and method for the tunnels, tunnel life cycle can be monitored and managed at various stages of production and transport of the pipe sheets and construction and operation of the tunnels, and monitoring efficiency is improved.

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

The invention discloses an unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method. The system comprises an aerial photographing system and a ground supervising and processing system, wherein the aerial photographing system comprises an aerial photography rotor aircraft, a mobile device and a control terminal; the mobile device and the control terminal communicated with the aircraft in a wireless manner, the aircraft is controlled to collect pollution source monitoring zone images, and the ground supervising and processing system comprises an image processing unit and a user terminal; the image processing unit is used for preliminary screening, distortion correction and smoothing of qualified images among aerial photos; the image processing unit is also used for pollution source RGB color characteristic enhancement, edge detection, pollution source existence determination and recheck, suspected pollution source characteristic extraction, pollution source RGB color characteristic value extraction, suspected pollution source characteristic comparison, image splicing, and pollution source distribution analysis and influence scope prediction; the user terminal can display complete pollution source monitoring area images, pollution source distribution map and influence scope prognostic maps.

The invention discloses a full-view monitoring robot system, which comprises a monitoring robot, a wireless interaction unit and a remote monitoring terminal, wherein the monitoring robot comprises a robot housing, an image acquisition unit, a sensing unit, a processor and a moving unit; the image acquisition unit comprises a plurality of cameras which surround the robot housing at intervals for acquiring all-around images on the four sides of the monitoring robot; the sensing unit comprises a sensor network on the robot housing; the processor comprises an image detection unit and a motion controller, wherein the image detection unit extracts characteristics of a directional gradient column diagram from the images acquired by the image acquisition unit, classifies linearly supported vector machine, detects human body images according to the classification result and generates a control command when the human body images are detected; and the motion controller receives the control command and controls the travel unit to travel according to the control command. The system can perform 360 degree full-view monitoring and improve monitoring efficiency. Besides, the invention also provides a monitoring robot for use in the full-view monitoring robot system.

The present invention discloses a multi-scale forest dynamic change monitoring method. The method comprises carrying out remote sensing image geometric correction and rectification; acquiring a land cover type map with a 1KM resolution ratio by using MODIS time series NDVI data with a 1KM resolution ratio of different seasons within one year; generating a coarse scale land cover changing map by using multiple years of land cover type maps with a 1KM resolution ratio; establishing a coarse scale forest cover change masking file by using a coarse scale land cover changing type map; establishing forest cover characteristic indexes on TM images with a 30 m resolution ratio according to the coarse scale forest cover change masking file; and extracting forest dynamic change information combining the coarse scale land cover changing map and forest characteristic indexes of time series. According to the method provided by the present invention, by using time series remote sensing data with different spatial resolutions, coarse scale land cover to fine scale forest change step-by-step detailed forest dynamic monitoring can be realized in large-area regions, and both monitoring efficiency and monitoring accuracy can be raised.

An abnormal behavior monitoring method, apparatus, computer device, and storage medium are disclosed. The method comprises: receiving a real-time video stream sent by a monitoring end, and extractinga preset number of video frame images from the video frame images according to a preset frequency as video sample data, thus avoiding network congestion and low processing efficiency caused by real-time video streams with large amount of data from being used directly, which improves the stability and timeliness of abnormal behavior monitoring, At that same time, the video sample data is preprocessed to obtain target data, and then the target data is input into the preset 3D convolutional neural network model for recognition, and the recognition result is compared with the preset abnormal behavior category, When the recognition result is one of the preset abnormal behavior categories, it is determined that the abnormal behavior is included in the video sampling data, so that the abnormal behavior in the video sampling data is automatically recognized by the 3D convolutional neural network model, and the automation and efficiency of the abnormal behavior monitoring are ensured.

The invention provides a building safety monitoring equipment based on a Beidou satellite and a sensor, and a monitoring method. A monitoring station comprises an antenna; the antenna is connected with a signal acquisition controller; a base station for providing positioning reference information to a monitoring station is arranged at a fixed position; the base station is connected with a position service platform; the position service platform comprises a calculation module, an issuing module and stored positioning information; the position service platform is connected with a building safety monitoring platform; the building safety monitoring platform is provided with a processing module for processing positioning information from the position service platform and further comprises an analysis judgment module for analyzing the positioning information processed by the processing module and judging whether a monitoring point has deformation and displacement or not; the analysis judgment module is connected with an alarming module. By adopting the monitoring equipment and the monitoring method, provided by the invention, a safety state of a building is monitored; the monitoring equipment and the monitoring method have the advantages of high precision, no attention of people, acquisition of real-time data in a whole day, all-directional monitoring, trend analysis and early warning.

The invention provides a channel monitoring method and device. The method is applied to a base station. The method comprises following steps: configuring a designated frequency of an energy saving signal to a terminal, defining designated effective time and range of the designated frequency, wherein the designated frequency is used to represent that the energy saving signal designates the effective range of subsequent discontinuous DRX receiving; generating a first notification message, which comprises the designated frequency and the designated effective time and range; sending the first notification message to a terminal so that the terminal can obtain the designated frequency and designated effective time and range from the first notification message, and according to the designated frequency and designated effective time and range, carrying out channel monitoring. The cooperation between an energy saving signal mode and a DRX mode is realized, if there is data, a base station can indicate a terminal to carry out intensive monitoring through the designated frequency; if there is no data, the base station can indicate the terminal to carry out sparse monitoring through the designated frequency; thus the channel monitoring efficiency is improved, and the resource waste is avoided.

The invention provides a suspicious personnel detection method and system. The method comprises the steps that video data acquired by a video acquisition module are received; at least one pedestrian is recognized from the received video data so as to obtain the pedestrian image of the pedestrian; pedestrian characteristics are extracted from the pedestrian image; and the probability that the pedestrian is suspicious is computed based on the extracted pedestrian characteristics. The suspicious personnel detection method and system do not depend on field judgment of monitoring personnel or require a database based on a blacklist or a similar database and obtain based on the real-time video data through computation completely so that monitoring efficiency and accuracy can be greatly enhanced.

The invention relates to a greenhouse crop growth information real-time peer-to-peer monitoring device, which can perform peer-to-peer monitoring and / or test on same relative positions of all crops to be monitored / tested through carrying required sensors and / or testing instruments by means of electronically-controlled suspension rails, and ensures the consistency of monitoring and / or test results. The invention further relates to a monitoring method based on the greenhouse crop growth information real-time peer-to-peer monitoring device. The monitoring method can realize precise control of electronically-controlled devices, automatically completes the whole testing process, is fast in testing speed, can realize real-time and continuous monitoring, has the advantages of high throughput and high re-visiting ratio, and effectively improves crop monitoring efficiency. In conclusion, the greenhouse crop growth information real-time peer-to-peer monitoring device and the monitoring method can scientifically instruct facility environmental control, cultivation management and rational fertilization, improve quality and yield of agricultural products, and reduce environmental risks; in addition, the monitoring device and the monitoring method provide a powerful tool for breeding or phenotype research of facility crops, and is conductive to fully tapping the production potential of the crops through research.

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 discloses a data exception attribution analysis method and apparatus. The method comprises the steps of obtaining first data of a to-be-monitored index; calculating an exception probability of data exception of the first data by utilizing a preset data model; if the exception probability is greater than or equal to a preset threshold, obtaining attribution index data; and based on the attribution index data, performing attribution analysis calculation by utilizing a preset attribution algorithm, and sending an attribution analysis result to a processing end. The manpower cost ofa company or an enterprise for data exception monitoring can be greatly reduced; the accuracy can be improved; and the method has very high universality. In addition, the dependency on business experience is greatly reduced; by quantizing the exception degree, a large amount of indexes can be automatically and accurately monitored, so that the data monitoring efficiency is improved, and the workload of analysis personnel is reduced; and by sending the attribution analysis result to the processing end, the processing end can perform fault removal, so that the fault removal efficiency is improved.

The present disclosure provides a channel monitoring method and apparatus. The channel monitoring method is applied to a base station, and includes the steps: configuring, for the terminal, a first discontinuous reception DRX parameter for channel monitoring; determining a first power saving signal for indicating the first DRX parameter; and sending the first power saving signal to the terminal, so as to enable the terminal to determine the corresponding first DRX parameter according to the first power saving signal and perform corresponding channel monitoring according to the DRX parameter. Therefore, the channel monitoring method not only realizes the use of the power saving signal to quickly realize the dynamic configuration of the DRX parameter, but also improves the efficiency of channel monitoring.

The invention provides a welding quality monitoring system and method. The welding quality monitoring system comprises a welding gun, a thermal infrared imager, an image capture card and an image processing computer. The welding gun is used for welding welding spots. The thermal infrared imager is used for recording molten bath infrared thermal imaging data of the welding spots. The image capture card is used for collecting the molten bath infrared thermal imaging data and sending the molten bath infrared thermal imaging data to the image processing computer. The image processing computer is used for analyzing the molten bath infrared thermal imaging data to obtain welding parameters, comparing the welding parameters with preset welding standards and obtaining a welding spot quality estimation result. In this way, by the adoption of the welding quality monitoring system and method, online monitoring of automatic welding quality can be achieved, the monitoring efficiency and monitoring quality are improved, and the missing inspection rate is reduced.

This invention provides a position monitor method and a system , in which, said method includes: A, designing a mobile admitted boundry of a monitor target and a mobile admitted region corresponding to said boundary, B, plotting out caution regions contained in the mobile admitted region including caution regions in the admitted region sphere and those passed by the boundary or pressing the edge, said caution region is a square and the transverse edge of said square is parallel to the woof, every caution is corresponding to a parameter including the longitudinal and latitude value of an any opposite angle of the square on an electronic map, C, following the position change of the monitor target to report the current position information including longitudinal and latitude value of the current position of the target, D, determining the caution region the target places based on the information of the target to issue beyong the mark alarm information when the target overstepping the mobile admitted region.

The invention relates to an unmanned pollution gas monitoring system, which is technically characterized by comprising a data acquisition control module, gas detection equipment, a vehicle-mounted global position system (GPS), a storage device and an on-vehicle wireless transmission module which are arranged on an unmanned aerial vehicle, and a workstation and a ground wireless transmission module which are arranged on the ground, wherein the data acquisition control module is connected with the gas detection equipment, the vehicle-mounted GPS, the storage device and the on-vehicle wireless transmission module respectively; the on-vehicle wireless transmission module is connected with the ground wireless transmission module through a 2.4G wireless communication network so as to realize the wireless data transmission function; and the ground workstation is connected with the ground wireless transmission module and is used for receiving the transmitted GPS data and gas detection data on the unmanned aerial vehicle and analyzing and processing the data. The unmanned pollution gas monitoring system is reasonable in design and has the advantages of realizing the function of rapidly, comprehensively and accurately monitoring an environment-friendly monitoring area and improving the monitoring efficiency and monitoring real-time property and intuitiveness.

The invention discloses a rail health state dynamic monitoring and analysis method. The method comprises the following steps: mounting signal collection hardware to a bogie of an operating train; ensuring that the signal collection hardware collects rail health state information during the operation of a train; analyzing collected rail health state data through a data analysis software; ensuring that data analysis software is loaded in a computer mounted in the body of the operating train or loaded in a cloud server. A loaded type rail health state dynamic monitoring and intelligent analysis system integrates devices, such as an inertial navigation system component, an ultrasonic flaw detection component, a laser displacement sensor, a laser silhouette sensor and a line-scan digital camera, in a modular manner, is loaded in the operating train, dynamically collects various rail health state dynamic parameters including rail dynamic geometrical shapes and positions, vehicle body accelerated speed, rail defect, and sleeper and fastener defect, at high frequency within operation period, realizes operation and detection integration, and accurately and finely guides rail maintenance.

The invention discloses an intelligent monitoring real-time processing method and device, a computer device and a storage medium. The method comprises: receiving the real-time video stream sent by themonitor terminal, extracting a preset number of video frame images from that real-time video stream,as sample data, which can avoidnetwork congestion caused by the direct use of real-time video streams with large amounts of data, improves the stability and timeliness of abnormal behavior monitoring; then preprocessing the sampled data, and extracting RGB features, optical flow characteristics andhuman posture characteristics, wherein these three features are input into the convolution neural network model for recognition, the recognition result is compared with the preset abnormal behavior category; judging whether the abnormal behavior is included in the video sampling data, using these three characteristics to more accurately predict the behavior of the actor in the video image, whichcan improve the accuracy of abnormal behavior prediction, uses convolution neural network model to automatically identify the abnormal behavior in the sampling data, and realizes the real-time monitoring of abnormal behavior.