1039results about How to "Expand the scope of monitoring" patented technology

A vehicle awareness system for monitoring remote vehicles relative to a host vehicle. The vehicle awareness system includes at least one object sensing device and a vehicle-to-vehicle communication device. A data collection module is provided for obtaining a sensor object data map and vehicle-to-vehicle object data map. A fusion module merges the sensor object data map and vehicle-to-vehicle object data map for generating a cumulative object data map. A tracking module estimates the relative position of the remote vehicles to the host vehicle.

A vehicle awareness system for monitoring remote vehicles relative to a host vehicle. The vehicle awareness system includes at least one object sensing device and a vehicle-to-vehicle communication device. A data collection module is provided for obtaining a sensor object data map and vehicle-to-vehicle object data map. A fusion module merges the sensor object data map and vehicle-to-vehicle object data map for generating a cumulative object data map. A tracking module estimates the relative position of the remote vehicles to the host vehicle.

A radio frequency identification device includes a transceiver having a resonant circuit, a rectifier, a charge pump, a state machine, and a transmitter. The resonant circuit includes an antenna and has a resonant frequency. The rectifier is coupled to the resonant circuit to provide a rectified signal in response to energy from the antenna. The charge pump is enabled in response to the rectified signal to provide a first logic signal. The state machine provides a second logic signal in response to the first logic signal. The transmitter includes an amplifier coupled to the resonant circuit to form a Colpitts oscillator that is enabled by the second logic signal to transmit a response signal for identifying the radio frequency identification device.

An object identification system includes a monitor and a plurality of transceivers that communicate over a common medium. The monitor includes a first transmitter, a first receiver, and a processor. Each transceiver includes a resonant circuit, a transmitter, a receiver, and an antenna coupled to the resonant circuit. The processor performs a method for performing transceiver communication that includes the steps of: (a) transmitting from the first transmitter a first frequency for a first duration; (b) after lapse of the first duration, receiving via the first receiver a response signal from at least one of the resonant circuits; (c) determining a second frequency from the received response signal; and (d) performing transceiver communication using the second frequency. Transceivers of the type having a resonant circuit coupled to an antenna, when operating in close proximity to each other, may interfere with the response from a single transceiver by absorbing the energy intended to be received by the transceiver, absorbing the energy transmitted by the transceiver, or altering the resonant frequency of the resonant circuit. By determining the second frequency for transceiver communication, the monitor may establish communication with the single transceiver at a frequency better suited for transferring operative power to the transceiver, conducting an interrogation protocol for identifying the transceiver, or for data transfer.

The invention discloses a patrol robot system for an overhead high-voltage transmission line. The patrol robot system comprises a robot, the overhead line and a ground base station. The overhead line is supported through a cross bar. The robot comprises a robot body, a battery, a walking device, a single-chip microcomputer, a monitor device and a mobile communication device. The ground base station comprises a ground communication device and a ground monitor device. The ground base station and the robot are connected in a satellite communication mode. A robot platform is arranged on one side of the overhead line. The walking device comprises a walking mechanism and an obstacle avoidance mechanism. The walking device is connected with the single-chip microcomputer. The monitor range of the patrol robot is wider, environmental interference resistance is higher, the better obstacle avoidance mechanism is provided, a rest area is provided for the patrol robot, the service life of the patrol robot is prolonged, an automatic charging device is provided, work loads of workers are reduced, and the work of patrolling high-voltage lines and ultra-high-voltage lines can be completed excellently.

The invention relates to the field of geodetic survey based on remote sensing images, in particular to a method for monitoring roadbed subsidence of express way by an InSAR, which comprises the following steps of: firstly, preprocessing, rectifying and interfering SAR data to obtain an InSAR interfered phase and amplitude image; secondly, carrying out flat earth effect, orographic effect and track residual trend phase elimination on the InSAR interfered phase to obtain a phase value only including surface deformation information; thirdly, recognizing positions and coordinates of strips of the express way in the SAR image by strip characteristics of the express way in the InSAR amplitude image; fourthly, extracting the phase value of the corresponding position in the interfered phase image by using the coordinates, and restoring a real phase value by adopting a filtering and unwrapping algorithm of a strip characteristic target; and fifthly, carrying out geocoding and deformation value transformation on the real phase value to obtain a roadbed subsidence value of the express way. The method has the advantages of simple implementation, low expense, high monitoring precision, large monitoring range, high automation degree and the like.

The invention is an Internet OSPF routing protocol monitoring and analyzing system, composed of management node and one or plural monitoring nodes in each AS distributed in a monitored network. And its working method: monitoring nodes distributed in each region of the monitored network collects LSAs in network, adopts SPF algorithm to calculate optimum path tree of each node and determines whether a routing change event happens or not, and collects the routing change information for the management node; the management node integrates the routing change information and maintains two-stage topological diagram comprising: basic connection reflecting network logic diagram and routing change reflecting routing change diagram, and real-timely updates and visually shows the topological diagrams according to the routing change information. And it enlarges system monitored range and can support routing performance monitoring for large-scale, complex, multiregional networks.

The invention relates to a method for automatically monitoring roadway deformation in real time. The method comprises the following steps of: distributing cross section marks on a selected cross section of a tested roadway section and distributing a plurality of observation mark points on the cross section; erecting a mining camera probe towards a monitored roadway in a mode that a main optical axis is vertical to the tested cross section; observing the initial true distance between previously-measured observation points, wherein the initial true distance is displayed as a display distance on a computer image; and acquiring a video image of the tested roadway section, monitoring the change of the image on monitoring center software of a computer in real time, processing the video image and automatically recognizing the cross section marks and the observation mark points so as to obtain a relative deformation value and an absolute deformation value in different statistics time scales or calculate the size and the change of the roadway cross section. The method has the advantages of automatic, real-time, continuous and non-contact monitoring, safety and high efficiency. A monitoring result can provide bases for the design of a roadway support, roadway maintenance and the prevention of rock burst and a roof disaster.

The invention relates to an elevator operation and maintenance monitoring method based on an intelligent visual light curtain. The method comprises the following steps that a camera and a processor are mounted in each elevator lift car, wherein the camera and the processor conduct communication transmission through a data line, and the camera is mounted in the middle above a door frame of an elevator door; each camera acquires video images in real time and transmits the images to the corresponding processor; each processor achieves full field-of-view automatic visual analysis for the area space of the corresponding elevator lift car door through an intelligent visual algorithm, and elevator faults are discovered and treated in time; and analysis and treatment results are gathered to obtain elevator operation and maintenance data which are transmitted to an elevator operation and maintenance monitoring center. Omnibearing monitoring is achieved by adoption of the elevator intelligent visual light curtain, dead zones do not exist, and the shortcomings that an infrared light curtain cannot discover small objects or is insensitive in distinguishing of the small objects are fundamentally overcome; and the monitoring range is expanded, opening and closing of the elevator door are better controlled, namely the delay door closing function is achieved, and equipment does not move along with opening and closing of the elevator door and is not prone to being intervened by external force.

The invention relates to a Mecanum wheel omni-directional mobile inspection robot. The Mecanum wheel omni-directional mobile inspection robot comprises a movable chassis, a movable vehicle body, a monitoring device and a remote control device, wherein the movable chassis comprises a driving device, a navigation positioning device, a control device, a power supply and a charging device, the driving device comprises vehicle wheels and a transmission device, the navigation positioning device comprises a magnetic field sensor and a radio frequency identification reader-writer, the control device comprises a control mainboard and a communication device, the power supply is electrically connected with the control device and used for supply power to the movable chassis, the charging device is electrically connected with the power supply and used for charging the power supply; the movable vehicle body is fixed on the movable chassis; the monitoring device is arranged on the movable vehicle body and comprises a video monitoring device and a monitoring sensing device. The Mecanum wheel omni-directional mobile inspection robot can achieve actions such as start and stop or track transformation according to the set requirements in any position so that the comprehensive inspection of electrical equipment within the inspection range can be achieved.

The invention discloses a worker safety behavior monitoring system based on video capture. The monitoring system comprises a video acquisition device, a data transmission device, a video processor and a display device. A monitoring method based on the system comprises the following steps that: the video acquisition device acquires daily working behaviors of workers on a construction site, and converts a video signal into a digital signal; the data transmission device transmits the digital signal to the video processor through the video acquisition device; the video processor is linked with a worker safety behavior rule, wherein the rule is established on the basis of relevant national specifications for construction behaviors; the video processor receives the acquired video after acquiring the video signal, runs a program to form a video in which a construction personnel behavior video and the worker safety behavior rule are overlapped, and inputs the video into display equipment; a dangerous area is set; and whether construction personnel behaviors meet specification requirements or not is judged intelligently according to an overlapped video provided by the display equipment, and an alarm is made.

A monitor system for the marked image of human body is composed of a marking device, a light-emitting device, a recognizer, a computer, a software tool, and a prompting device. It can be used for the quilt-kicking off image monitor system, sleep posture image monitor system, wetting-the-bed image monitor system, etc.

The invention relates to a method for monitoring and calculating settlement of coal mining surface based on unmanned aerial vehicle remote sensing, comprising the steps of I, planning an unmanned aerial vehicle flight line according to landform, range, position and ground resolution of a research area; II, remotely controlling an unmanned aerial vehicle to fly according to a set flight line, and collecting a remote sensing image; III, laying out a plurality of quantity control points according to the range and geological characteristics of the research area, and measuring these points one by one; IV, using professional remote-sensing image processing software to generate a point cloud, and exporting surface three-dimensional coordinates of the research area; V, according to the ground control measurement results, using a four-parameter surface fitting correction model to the three-dimensional coordinates measured by the unmanned aerial vehicle; VI, comparing the corrected surface elevation with pre-mining tomographic map elevation, and calculating post-mining surface settlement. The method has the advantages that the steps are simple, the design is reasonable; implementation is convenient, calculating precision is high, and the surface settlement due to coal mining can be calculated effectively.

The invention provides an inspection system and an inspection method of a valve hall robot based on a video monitoring linkage system. The inspection system comprises a linkage analysis control host, a communication server and an auxiliary fixed point monitoring subsystem; an inspection robot comprises a robot terminal system; the robot terminal system comprised a track; a moving mechanism, a motion driving mechanism and a detection mechanism are arranged on the track; the inspection system and the inspection method have the advantage that real-time unmanned detection requirement of valve hall equipment is met; by coordinating inspection of the robot with a fixed point camera, the problems that the monitoring range is limited and the geographic position of substation equipment is not convenient for arrangement of monitoring points are solved; the problems that the abnormality cannot be autonomously identified as well as intelligent linkage security and protection, firefighting and online equipment management system are solved; fires are monitored by using a mixing mode of a visible light video and a thermal infrared imager, so the fires can be reduced; according to the inspection system and the inspection method provided by the invention, by adopting double detection of the visible light video and an infrared thermal video, the false alarm rate of fire alarms is reduced, and the processing efficiency of the fire alarms is improved.

The invention discloses an automatic electric switch cabinet fire extinguishing system and a fire recognition method, wherein the automatic electric switch cabinet fire extinguishing system comprises a fire extinguishing agent nozzle which is arranged in an electric switch cabinet; the fire extinguishing agent nozzle is connected with a storage device in which a non-conducting fire extinguishing agent is stored through a pipeline; an electromagnetic valve which is controlled by a central controller is arranged on a pipeline; a photoelectric sensor is also arranged in the electric switch cabinet; and the photoelectric sensor outputs a detection signal to the central controller and then the central controller judges whether to open the electromagnetic valve. The automatic electric switch cabinet fire extinguishing system is capable of responding sudden electric fire and reducing the loss caused thereby. Fire extinguishing agents such as heptafluoropropane and superfine dry powder are used and non-conducting, so that secondary danger caused by conduction of fire extinguishing agents does not occur; and the fire extinguishing agents are environmental-friendly, so that the damage to the environment caused by conduction of fire extinguishing agents also does not occur. The photoelectric sensor is used, so that the fire such as electric arc and the like in the switch cabinet can be rapidly and correctly detected.

The invention discloses an aircraft platform-based intelligent district safety protection method, which comprises step: according to distribution of monitoring blind areas in the district, a monitoring center sets a patrol route of the aircraft; when the aircraft works in an automatic mode, the monitoring center controls the aircraft to fly via a base station, images of the district are monitored via a CCD camera of the aircraft along the set patrol route, and the images obtained through monitoring of the CCD camera are transmitted in real time to the monitoring center via the base station; the aircraft uses the equipped infrared camera thermal imaging principle and adopts the face recognition technology to judge whether a person exists in the patrol route, if yes, the aircraft stops in the air for a certain time and transmits an announcement instruction to the monitoring center via the base station, and if not, patrol operation is continued. Monitoring can be executed on places at which no one can arrive via the CCD camera, and the safety protection range is increased; and through the thermal imaging principle of the infrared camera and the face recognition technology, the district safety protection strength is enhanced.

The invention discloses a sliding window auto-regression residual error model-based non-intrusive load switching action monitoring method. The method comprises the following steps of: obtaining current of a bus through NILM equipment such as an intelligent electric meter, and carrying out wavelet filtering and denoising on the current; and obtaining a current period maximum value sequence, obtaining a next current maximum residual error by using an AR regression model, and judging a load state according to a size relationship between the residual error and a threshold value. According to the method, double threshold values U and L are used for dividing corresponding events of load switching; the load switching action monitoring range is enlarged, and load switching actions with relativelylow power can be detected, so that missing detection, caused by power change, of load switching actions with small power is avoided; other electricity parameters of non-intrusive measurement equipmentdo not need to be obtained, and only current parameters of the bus are required, so that the requirement for non-intrusive performance is simplified; and through the category division of loads, the complexity of a whole NILM recognition algorithm can be simplified.

The invention relates to a dam settlement monitoring method based on high-score image and lifting / lowering orbit InSAR, comprising the following steps: A. dam position information extract: obtaining the high-definition image data of the dam by satellite to obtain the precise geographic position and range of the target dam surface; B. PS-InSAR deformation rate acquisition: using N SAR images acquired by satellite in the same area, selecting one SAR image as a main image, and generating a differential interferometric phase map by using DEM and orbital data to obtain DEM error and deformation rate; C. settlement rate calculation of the fused lifting / lowering orbit: according to the reflection characteristics of different regions of the dam and the geometrical distortion region, fusing the deformation monitoring method of the lifting / lowering orbit InSAR with different visual directions to obtain high-precision settlement information; and D. dam settlement information extract; performing spatial superposition operation on the obtained fused high-precision deformation field and the dam data extracted from the high-score image to obtain the settlement deformation information on the dam surface, thereby realizing the settlement monitoring of the dam.

The invention discloses mobile monitoring equipment convenient for disassembling and relates to the technical field of video monitoring equipment, wherein the mobile monitoring equipment comprises a movable base and a mounting shell, wherein the movable base is provided with a movable wheel set at the bottom, and the mounting shell is vertically arranged on the movable base; a lifting mechanism isarranged in the mounting shell; a lifting motor for driving the lifting mechanism to lift up and down is arranged on the movable base; a mounting plate extending to the outside of the mounting shellis connected to the lifting mechanism; a rotating driving mechanism is arranged on the installing plate; the rotating driving mechanism is connected with a monitoring assembly; the monitoring assemblycomprises a transparent outer shell in connection with the rotating driving mechanism and a monitoring camera which is arranged in the transparent outer shell and is far away from one side of the mounting shell; and the transparent outer shell is connected with a storage type cleaning mechanism which is used for scrubbing the transparent outer shell close to one side of the monitoring camera. Themobile monitoring equipment has the advantages of being simple in structure, clear in shooting effect and convenient to install and maintain.

The invention discloses a movable type air monitoring car which comprises a monitoring car body. An air monitoring unit, a field control unit and a remote control platform are integrated in the monitoring car body, wherein the air monitoring unit comprises an automatic air sample collection module, an air sample preprocessing module and a monitoring analysis module in sequential data connection; and the field control unit comprises an air sample preprocessing control module, an instrument operation control module, a monitored data acquisition and transmission module, a field instant air sample analyzing module, a GPS (global positioning system) positioning module, a general meteorological parameter module, a video and camera module and a remote communication transmission module. The movable air monitoring car disclosed by the invention can monitor the content and components of pollutants in air anytime and anywhere, and can monitor the atmospheric environment in a relatively wide range at continuous points without being limited to a fixed place. The invention brings convenience to the atmospheric environmental monitoring in some areas without fixed monitoring equipment and the accident sites.

The invention relates to a method and a device carrying out path backtracking for system attack. The method comprises steps that, Netflow data, routing topology data and router information are acquired; a system attack safety event is acquired; on the basis of the system attack safety event and the acquired Netflow data, the routing topology data and the router information, path backtracking for the system attack is carried out by utilizing a breadth transversal method. Through the method, Internet attack emergency response processing efficiency can be effectively improved.

The embodiment of the invention provides a network data monitoring method and device, which are used for solving the technical problem of limitation in network data analysis of a mobile communicationnetwork system. The method comprises the steps that an NWDAF determines to-be-monitored terminal UE needing network data analysis and a data analysis type for the to-be-monitored terminal UE; the NWDAF determines a provider network function network element and a monitoring event corresponding to the UE to be monitored according to the data analysis type of the UE to be monitored, wherein the provider network function network element is used for providing source data of the to-be-monitored UE related to the data analysis type, and the monitoring event is used for indicating the provider networkfunction network element to monitor the source data; and the NWDAF sends the monitoring event to the provider network function network element.

The invention discloses a steel wire rope twist direction climbing robot. The steel wire rope twist direction climbing robot includes a plurality of modules, wherein climbing devices are arranged in outer shells of the modules, the climbing devices include tensioning supports, rolling wheels are mounted in tensioning supports, rubber sheets are arranged on the circumferences of the outer edges ofthe rolling wheels, shafts are arranged on the back sides of the tensioning supports, holes are formed in the outer shells close to the shafts, linear bearings are mounted at the positions of the holes, the shafts of the tensioning supports penetrate through the linear bearings and the holes, limiting anti-loose nuts are mounted on shafts outside the outer shells, and springs are further arrangedbetween the back sides of the tensioning supports and the inner walls of the outer shells. Compared with the prior art, the steel wire rope twist direction climbing robot can roll in the direction ofa spiral line twisted in a steel wire rope, the needed driving force is smaller and stable, and the bearing capacity is high; and the climbing robot can work under a special environment and can meet the requirement of anti-explosion; and the shafts of the tensioning supports move telescopically relative to the linear bearings, and the certain buffering obstacle crossing ability and the disturbanceresistant capacity are achieved.

The invention relates to a crowd density estimation system and method under a multi-camera condition. The system comprises a multi-camera wide-view-field scene image acquisition module, a saliency region extraction module based on saliency detection, a face feature detection module for a saliency region and a saliency region crowd density estimation module based on a long-time and short-time deeplearning neural network. The system is mainly used for carding and analyzing macroscopic features such as crowd density features of scene crowds and estimating density features of dense crowds. A usercan analyze and obtain a key area where a crowd is located according to a wide-view-field image obtained under the condition of multiple cameras, and feature information such as crowd density is obtained through analysis from the key area.

The invention relates to a multi-ball machine linkage target tracking method based on an improved Meanshift algorithm. The method comprises the following steps of: obtaining an initial image sequence in a ball machine monitoring scene, and analyzing to obtain a moving target; tracking the detected moving target; controlling the ball machine to rotate by use of a fuzzy control method so that the moving target is approximately kept in the central range of the ball machine, wherein when the moving target enters the public monitoring area of multiple ball machines, multiple ball machines enter a detection to-track state; and if the moving target leaves the public monitoring area and enters the visual field of a ball machine, starting corresponding ball machine, and returning to the first step to track the moving target. The invention also discloses a multi-ball machine linkage target tracking system based on the improved Meanshift algorithm. According to the invention, the linkage target tracking of multiple ball machines is realized through the detection, real-time tracking and fuzzy control of the moving target, the robustness is greatly improved, and the monitoring range is expanded.

The invention relates to a photographing monitoring system based on sensing detection control. The system includes a camera, an ultrasonic sensor and induction lamps, which are arranged on a ceiling and includes vibration sensors arranged on doors and windows. The camera is connected with a motor shaft of a motor. The vibration sensors, the ultrasonic sensor, the camera, the motor and the induction lamps are connected with a main controller respectively. An output end of the main controller is connected with a handset through a GSM transmission module. The main controller includes a signal processing module and an image comparison module. The system adopts vibration sensing detection and ultrasonic sensing detection to improve an indoor detection range so that the detection effect is improved; through image comparison processing, detection accuracy is improved; and multidirectional flexible photographing of the camera is adopted in combination with the induction lamps so that the indoor monitoring range is expanded, picture definition is improved and indoor security protection is strengthened.

The invention discloses an external grinding multiparameter integrated quality monitoring device. A signal collection device of the external grinding multiparameter integrated quality monitoring device comprises a power sensor, a displacement sensor, an acceleration sensor and a sound emission sensor; a filter amplifier comprises a collection plate, a constant current adapter, a preamplifier and apreamplifier power supply separation annunciator; the power sensor is connected with a wiring terminal plate; the displacement sensor is connected with the collection plate; the acceleration sensor is connected with the constant current adapter; the sound emission sensor is connected with the preamplifier which is connected with the preamplifier power supply separation annunciator; the collectionplate, the constant current adapter and the preamplifier power supply annunciator are respectively connected with the wiring terminal plate which is connected with a data collection card; and the data collection card is connected with a signal analysis and display device. The invention can establish coupling relation between related status characteristic parameters and product quality indexes during grinding so as to direct the adjustment of grinding technological parameters, thereby improving the reliability of quality monitor and judgment.

The invention discloses a sudden death early-warning method, device and system. The method comprises the steps of 1, extracting and detecting physiological information, wherein respiration, oxyhemoglobin saturation, heart rate and heart rate variability information of a testee are extracted, and totally the 6 monitoring indexes of the respiratory rate, the AHI index, the arterial oxygen saturation, the heart rate, the Poincare map indexes SDI and SD2 are obtained; 2, detecting abnormity of the physiological information, wherein various kinds of physiological information obtained in step 1 aresubjected to abnormity detection and early-warning level calculation; when abnormity is detected, step 3 is executed if the result shows abnormity, and detection continues if the result shows normality; 3, conducting sound, light and vibration alarming, wherein an alarm apparatus is driven to give out sound, light and vibration, and the corresponding early-warning level is offered; it shows that the higher the early-warning level is, the higher the risk of sudden death is, and when the early-warning level is larger than 3, the testee needs to see a doctor, and if the early-warning level is larger than 5, the testee needs to see a doctor urgently. The sudden death early-warning device comprises a respiratory sensor module, an oxyhemoglobin saturation sensor module, a heart rate sensor module and a microprocessor module.

The invention discloses a mobile gas monitoring system and a method based on accurate positioning in underground coal mine. The system comprises: a mobile gas detector brought by people who enters a mine and used to detect gas concentration; a radio communication base station arranged in the mine and for determining a position of the mobile gas detector and receiving information about sensed gas concentration by carrying out radio communication with the mobile gas detector; a monitoring center server used to receive the information of the sensed gas concentration and information of the position of the mobile gas detector from the radio communication base station to carry out information management. The system and the method provided in the invention can be used for safety monitoring management of daily production in the coal mine to guarantee safe production in the coal mine, and also can provide basis for decision of coal mine cataclysm rescue, with the system and the method, rescue progress can be accelerated and post-disaster casualties can be minimized.