41results about How to "Guarantee monitoring quality" patented technology

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 provides a service life forecasting method and a service life forecasting system of fan components. The service life forecasting method of the fan components comprises the steps of: acquiring characteristic parameters of the fan components; determining the components that are at a non-ineffective stage according to the characteristic parameters acquired; determining the rest service life region of the components that are at the non-ineffective stage; and performing on-line rest service life forecasting on the components of which the rest service life region is within a preset service life region. According to the method and the device, the rest service life of the fan components can be acquired on line so that a fan user can be guided to process potential fan faults in time, thus ensuring the safety and the reliability in operation of a fan.

The invention discloses an integrated resource monitoring system based on an open source cloud platform, containing a data acquisition module and a data display module, wherein the data acquisition module adopts monitoring tools of Zabbix, Telegraf and Influxdb, the Zabbix realizes large-scale monitoring deployment and collection of any monitoring item through various monitoring ways and functions, the Telegraf uses a plug-in mechanism to collect a plurality of pieces of resource monitoring information and store the information in the Influxdb time series database; the data display module introduces Grafana open source monitoring software, accesses monitoring information of the plurality of platforms of Zabbix, Influxdb and OpenStack by using existing plug-ins and secondary development plug-ins by the plug-in mechanism of Grafana, collects multi-dimensional monitoring items, and displays the monitoring data through Grafana's rich dashboards and charts. The invention performs multi-dimensional and comprehensive real-time monitoring on resource information such as the service state and health state of the cloud platform, the virtual machine and the application of the cloud platform.

The invention discloses a sensor-network-based low-energy-consumption ecological environment monitoring node deploying method and relates to the Internet of Things. The method comprises the following steps: firstly determining factors to be monitored and key points with relative factors; building an optimal mathematic monitoring model according to the monitored factors and the key points; then solving the mathematic model and finding a key point with most attributes and taking the key point as a pre-selection point; invoking an attribute optimizing method for selecting the key points with all the attributes which are close to an attribute mean value if the number of the pre-selection points is greater than 1; invoking a crop growth factor weighing method for determining monitoring points if more than two pre-selection points exist after the treatment; randomly determining that the pre-selection points processed by the crop growth factor weighing method are taken as the monitoring points by using a random algorithm; finally processing a matrix T formed by the key points and the attributes by using a matrix optimizing method of the key points and the attributes to obtain the number of the final monitoring nodes and the distribution positions of the monitoring nodes.

The invention relates to a dome camera automatic tracking control method and a dome camera automatic tracking control system based on moving target detection. In the method, box camera video images are acquired in real time, the box camera video images are detected and tracked through a moving target detection and tracking algorithm and angle information of the dome camera aligned with the movingtarget is calculated; a dome camera holder is controlled according to the angle information to horizontally and / or vertically rotate for a corresponding angle, and the center of the dome camera is guaranteed to be aligned with the moving target and the moving target is tracked, until tracking time of the moving target is up or the target disappears. The method not only can guarantee monitoring field range of a panorama box camera, but also can automatically control the dome camera to track and enlarge the moving target in the panorama box camera, thus, definition and monitoring effect of the moving target in a monitoring scene are guaranteed, particularly for a moving object, the method can further guarantee monitoring quality and reduce labor cost of monitoring personnel.

The invention discloses a control method and a control device for video monitoring. The control method for video monitoring comprises the following steps of: acquiring video image data, and calculating the video monitoring level according to the video image data; and switching a video monitoring mode to the video monitoring mode corresponding to the video monitoring level. By the control method for video monitoring and a monitoring device, the video monitoring mode is switched to the video monitoring mode corresponding to the video monitoring level; diversified video monitoring modes are realized; on the basis of guaranteeing the monitoring quality, energy-saving monitoring is realized; and a large number of power resources and network resources are saved.

The invention discloses an intracranial cortex electrode. The intracranial cortex electrode is composed of an insulated flexible substrate, multiple electrode points embedded in the flexible substrate, electrode wires buried in the flexible substrate and electrode sleeves collecting the electrode wires. Due to a channel formed in the flexible substrate, obstructive tissue fluid between the electrode and brain tissue can be easily discharged, the fitness of the electrode on the brain tissue can be improved, and then monitoring quality can be guaranteed; besides, the intracranial deep electrode can enter the deep brain conveniently through the channel to detect brain electrical activity signals of deep brain tissue. Meanwhile, according to needs, a reinforcing net can be buried in the flexible substrate, and different electrode wire outlets can be formed in the flexible substrate.

The invention discloses an intelligent monitoring platform for a high-voltage cable terminal. The intelligent monitoring platform comprises a monitoring box, a dampproof structure, a supporting structure, a fixing structure, a surface temperature detection device, an anti-fracture structure, a solar power generation structure and a heat dissipation structure. The intelligent monitoring platform for the high-voltage cable terminal is convenient to install and can be fixed firmly; the normal operation of equipment can be guaranteed through solar power generation, and therefore, the voltage change, electric leakage and surface temperature of the high-voltage cable terminal can be monitored in real time; flickering early warning can be performed for abnormal data; remote transmission and sharing can be realized; great convenience is brought to the use of users; moisture absorption, moistureproofness and good heat dissipation can be achieved for the monitoring box; the heat dissipation structure plays a role of rainwater pouring prevention protection; the breakage and wire fracture of a wire outlet which are caused by the repeated folding of a cable can be avoided; the cable can be stably supported and fixed; influence on monitoring quality caused by the falling-off and deviation of the cable can be prevented; the maintenance burden of personnel is relieved; and monitoring quality is guaranteed.

The invention provides an automatic strain measurement and monitoring system and a method thereof. The strain monitoring system comprises a strain gauge, a collector, a manager and a host computer; the collector is used for collecting and transferring strain data from the strain gauge to the manager; the manager is used for receiving and transferring the strain data transferred by the collector to the host computer; the manager comprises a collector management module; the manager is used for receiving control signals from the host computer to control and manage the collector; the host computer emits the control signals to the manager, and receives the strain data transferred by the manager; the communication between the manager and the host computer is realized in a wireless manner, so that a manager can conveniently manage the monitoring system from a long distance without personally collecting the strain data; the invention can measure, even all strain points of a plurality of bridges, a plurality of points simultaneously without assigning people to guard the scene, so that manpower resources can be saved; and furthermore, according to the technical scheme, mutual data storage by the collector realizes interactive data back-up, thereby ensuring the safety of data.

The invention belongs to the technical field of power equipment theft prevention, particularly relates to a power engineering equipment anti-theft device, and provides the following scheme for solvingthe problems that an existing camera is prone to being shielded by dust and the monitoring quality is influenced: the power engineering equipment anti-theft device comprises a protection box, a mounting plate is slidably mounted in the protection box, and a rotating hole is formed in the mounting plate; a rotating shaft is rotatably mounted in the rotating hole, a camera is fixedly mounted at oneend of the rotating shaft, a water pump is fixedly installed on the left side of the protection box, a water outlet of the water pump fixedly communicates with one end of a first pipeline, the otherend of the first pipeline fixedly communicates with a box body, the top of the box body fixedly communicates with one end of a second pipeline, the other end of the second pipeline extends into the protection box and is fixedly provided with a spray head, an outlet is formed in the right side of the protection box, a baffle is slidably installed on the right side of the protection box and matchedwith the outlet, and a sliding groove is formed in the inner wall of the top of the protection box. The camera can be cleaned, the monitoring quality is ensured, the structure is simple, and the use is convenient.

The invention discloses an automatic monitoring and early warning system and method for underground water and harmful gas in the tunnel construction period. The system comprises a thermal infrared imager and a gas detector which are arranged on a mobile cart; when the water content or harmful gas concentration exceeds an early-warning threshold value, a signal can be transmitted to an early-warning device, and the early-warning device can carry out different-level early warning on water and gas separately according to the risk degree. The system integrates monitoring, early warning and control, gives out an alarm in time, achieves real-time alarm and remote alarm, can carry out real-time processing through a linkage processing system, and guarantees the normal construction progress of a tunnel and safety of workers.

The invention discloses a monitoring system suitable for containerized deployment of an open source cloud platform. The system comprises a plurality of prometheus copies, a Thanos assembly, a prometheus time series database (TSDB), a Prometheus server side, a Promql query language component of Prometheus, an Alertmanager component, a Grafana component and a Thanos component, the plurality of prometheus copies are deployed on a cloud platform cluster, and each prometheus copy comprises an Exporter component corresponding to a monitoring object and is used for collecting corresponding monitoringdata; the Thanos component is used for integrating a plurality of same prometheus copies deployed on a cloud platform cluster, and carrying out duplicate removal and merging processing on the monitoring data acquired by all the prometheus copies, and inquiring and aggregating the monitoring data acquired by all the prometheus copies from a single endpoint. According to the invention, the platformresources and platform physical environment information based on the containerized open source cloud can be monitored in an omnibearing manner, and the system has wide adaptability, expandability andhigh reliability.

The invention relates to the RFID (Radio Frequency Identification) field, in particular to a power saving radio frequency (rf) alarm device, which comprises a body and a snap ring. The body is provided with an rf receiving and transmitting control circuit therein, which comprises a microprocessor that is connected with a vibration detection device. The invention uses the vibration detection device to detect the activity state of people or articles; when no movement happens, the rf receiving and transmitting control circuit transmits an rf signal at a longer time interval to reduce the energy consumption thereof; when the detection device detects a movement happens, and the rf receiving and transmitting control circuit sends out an rf signal at a shorter time interval and reports the current situation of people or articles in time. Therefore, on condition of ensuring the monitoring quality, the service life of battery can be prolonged by 7-10 times more than before.

The invention discloses a multi-angle adjustable monitoring device for a pilotless automobile. The device comprises a mounting block, a connecting shaft and a camera, a first sliding groove is formedin the inner side of the mounting block. A movable block is mounted at the middle end of the mounting block; a pulley is mounted at the upper end of the outer surface of the movable block; the pulleyis connected with the first sliding groove; the connecting shaft is mounted at the lower end of the movable block in a penetrating manner; and the camera is installed on the outer side of the connecting shaft and connected with the movable block, a cleaning block is installed at the lower middle end of the movable block, a movable handle is installed on the outer surface of the movable block, a traction rope is installed on the outer surface of the movable handle, and a second sliding groove is formed in the outer surface of the movable block. According to the multi-angle adjustable monitoringdevice for the pilotless automobile, when the camera rotates by an angle along the lower end of the inner side of the movable block, the lens of the camera makes contact with the attached sponge cleaning block, so that the self-cleaning effect is achieved, and the monitoring quality of the device is guaranteed.

The invention relates to a method and a device for detecting sheltered movement of a camera. The method comprises the following steps: extracting a front frame image and a rear frame image of a video collected by a camera, and graying the images to obtain gray images; using a frame difference method to obtain a difference image of the gray level images of the front frame image and the rear frame image; binarizing the difference image to obtain a binary image; and judging whether the camera is shielded or moved or not according to a comparison result of the number of the pixel points with the gray value of 255 in the binary image and a judgment threshold value. According to the scheme provided by the invention, whether the camera is shielded or moved can be accurately judged by processing the video image collected by the camera, so that background operation and maintenance personnel can take measures in time, the monitoring quality of the camera is ensured, and the subsequent image recognition processing process is facilitated.

The invention relates to a monitoring data processing method and device of a data center, equipment and a storage medium, and the method comprises the steps of receiving a monitoring data processing request sent by a client, and extracting a first monitoring server identifier and target operation identifier information in the monitoring data processing request; and when the condition that the monitoring period of the first monitoring server corresponding to the first monitoring server identifier is shortened within a first preset time meets a preset condition, executing a target operation corresponding to the target operation identifier information on target monitoring data collected by the first monitoring server through the determined target monitoring server; and obtaining an execution result. According to the invention, the monitoring server can be prevented from processing the acquired monitoring data while performing data acquisition on the data center in a short monitoring period, so that the performance pressure of the monitoring server is reduced, the monitoring quality of the data center when the load is too large is ensured, and the management and operation efficiency is improved.

The invention relates to an online anti-collision and anti-radiation device for an O-shaped rack. The anti-collision and anti-radiation device comprises an anti-collision and anti-radiation steel plate, a sleeve, a *-shaped supporting beam, a diagonal supporting beam, an anti-radiation steel plate, an anti-radiation opposite opening steel plate door, a door gap anti-radiation steel plate, an upright post, a steel plate bottom plate, a cross beam, a supporting beam, a rib plate A and a rib plate B for reinforcing the sleeve and the like. The device covers the O-shaped rack by using the steel plates and joist steel, and organically combines the anti-collision and anti-radiation functions together to form a steel fortress; the steel fortress allows normal seamless steel pipes to pass smoothly and blocks the abnormal seamless steel pipes outside the anti-collision and anti-radiation device to ensure the safety of the O-shaped rack; and meanwhile, gamma rays released by the O-shaped rack in operation is shielded to ensure the safety of workers nearby the O-shaped rack.

The invention discloses an integrated resource monitoring system based on an open source cloud platform, including a data acquisition module and a data display module. The data acquisition module adopts monitoring tools Zabbix, Telegraf and Influxdb, and Zabbix realizes large-scale monitoring through various monitoring approaches and functions For deployment and collection of any monitoring items, Telegraf uses the plug-in mechanism to collect monitoring information of various resources and store it in the Influxdb time-series database; the data display module introduces Grafana open source monitoring software, and uses the existing plug-ins and secondary development plug-ins through Grafana’s plug-in mechanism. Access monitoring information from multiple platforms such as Zabbix, Influxdb, and OpenStack, collect multi-dimensional monitoring items, and display monitoring data through Grafana's rich dashboards and charts. The present invention performs multi-dimensional and all-round real-time monitoring on the service status and health status of the cloud platform, and resource information such as virtual machines and applications of the cloud platform.

The invention relates to the electric energy quality online monitoring device test technology field and discloses an automatic test system and a usage method. The system comprises an apparatus test scheme data management object module, an automatic test control unit, a standard source output module, an electric energy quality monitoring device communication protocol module, at least one tested apparatus, a standard source and a report generation module. The apparatus test scheme data management object module is connected to the report generation module and the automatic test control unit respectively. The automatic test control unit comprises at least one child device test control module and a main device test control module. The main device test control module and the child device test control module are correspondingly connected to the electric energy quality monitoring device communication protocol module in a communication connection mode. The standard source output module is connected to the standard source. The standard source is electrically connected to each tested apparatus. Under the condition that monitoring quality is guaranteed, monitoring efficiency of an electric energy quality monitoring device is greatly increased.

The invention provides a sediment particle size monitoring device for river flow monitoring, and relates to the technical field of sediment particle size monitoring. The sediment particle size monitoring device for river flow monitoring comprises an annular piece with a hollow interior; at least four mounting frames are uniformly and fixedly connected to the inner wall of the annular piece in the circumferential direction, cylinders are hinged to the mounting frames, the ends, facing the mounting frames, of the cylinders communicate with the interior of the annular part through first hoses, piston parts are movably arranged in the cylinders, and movable rods are fixedly connected to the piston parts; the movable rod penetrates through the other end of the barrel, and a straight plate is hinged to the end, located outside the barrel, of the movable rod; the regular polygon formed by all the straight plates can be proportionally reduced, so that silt at the cross sections of different areas can be conveniently monitored, the application range is wide, a monitoring management mechanism does not need to reserve monitoring devices of multiple models, the use is very flexible, and the use cost is further reduced.

The invention provides a fire monitoring camera with a smoke alarm function, which includes a fixed case, a transparent protective case, an arc-shaped cleaning plate and an arc-shaped drying plate. A telescopic slot, the inner side wall of the telescopic slot away from the opening end is fixedly connected with a spring, and a telescopic plate is movable installed in the telescopic slot. The arc-shaped cleaning plate and the arc-shaped drying plate, when the arc-shaped cleaning plate and the arc-shaped drying plate are attached to the transparent protective case and rotate, they can respectively clean the transparent protective case and dry it after cleaning, so as to effectively prevent the influence of smoke and dust Camera monitoring quality.

The invention provides an automatic strain measurement and monitoring system and a method thereof. The strain monitoring system comprises a strain gauge, a collector, a manager and a host computer; the collector is used for collecting and transferring strain data from the strain gauge to the manager; the manager is used for receiving and transferring the strain data transferred by the collector to the host computer; the manager comprises a collector management module; the manager is used for receiving control signals from the host computer to control and manage the collector; the host computer emits the control signals to the manager, and receives the strain data transferred by the manager; the communication between the manager and the host computer is realized in a wireless manner, so that a manager can conveniently manage the monitoring system from a long distance without personally collecting the strain data; the invention can measure, even all strain points of a plurality of bridges, a plurality of points simultaneously without assigning people to guard the scene, so that manpower resources can be saved; and furthermore, according to the technical scheme, mutual data storage by the collector realizes interactive data back-up, thereby ensuring the safety of data.

The invention relates to a road monitoring area identification method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a prevention and control area monitoring point graph corresponding to a current driving road prevention and control area, wherein the prevention and control area monitoring point graph comprises prevention and control area edge monitoring points and prevention and control area internal monitoring points; obtaining a current vehicle snapshot record of the current vehicle entering the current driving road prevention and control area, wherein the current vehicle snapshot record comprises a current vehicle access record collected by an edge monitoring point of the prevention and control area and a current vehicle internal drivingrecord collected by an internal monitoring point of the prevention and control area; and determining a target driving road monitoring area in the monitoring point graph of the prevention and controlarea according to the current vehicle access record and the current vehicle internal driving record. By adopting the method, the vehicle monitoring weak area or monitoring loophole in the prevention and control circle can be quickly identified, so that the monitoring quality of the vehicle in the prevention and control circle is ensured.

The invention discloses an automatic monitoring and early warning system and method for groundwater and harmful gases during tunnel construction, including: an infrared thermal imager and a gas detector installed on a mobile car body; when the water content or the concentration of harmful gases exceeds the early warning threshold The signal is transmitted to the early warning device, and the early warning device will give different levels of early warning to water and gas according to the degree of risk. It integrates monitoring, early warning and control, and sends out alarms in time, realizing real-time alarms and remote alarms. It can be processed in real time through the linkage processing system, ensuring the normal construction process of the tunnel and the safety of the staff.

The invention relates to the technical field of intelligent monitoring, in particular to an athlete physical strength evaluation and injury recovery tracking system. A plurality of monitoring sub-endsare respectively set in hands of different athletes, the body state of the athletes can be collected in real time, and then transmitted remotely to an athlete monitoring center through a wireless communication module, convenience is provided for understanding the situation of the athletes in time, and corresponding treatments are conducted; a processor is arranged in the athlete monitoring center, a processor is disposed in a management room, and the processor is electrically connected to a second data transceiver module, a real-time acquisition module, a waveform generation module, a waveform display module and a display unit. The system can collect and monitor the athlete exercise data and the physical condition, thereby avoiding the secondary injury during the recovery process, and becapable of carrying out scientific training and diet according to different athlete situations, thereby enabling bodies of the athletes to quickly recover.

The invention discloses an intelligent monitoring, early warning and emergency processing system and method suitable for tunnel fire, and the system comprises a movable vehicle body which is providedwith a controller, and the controller is connected with a monitoring device, an early warning device and an emergency processing device. The movable vehicle body moves into a tunnel, the monitoring device monitors whether a fire occurs in the tunnel or not in real time, the early warning device sends an early warning signal to an operator in the tunnel in the early stage of the fire, and the emergency processing device carries out emergency processing on an initial fire in the early stage of the fire. When a fire occurs, the monitoring device can transmit a danger signal to the early warning device, the early warning device can give an early warning in time to remind people in the tunnel to evacuate in time and transmit a monitoring picture to a remote monitoring room, and firefighters canhandle the scene according to the fire situation as required.

The invention discloses a sensor-network-based low-energy-consumption ecological environment monitoring node deploying method and relates to the Internet of Things. The method comprises the following steps: firstly determining factors to be monitored and key points with relative factors; building an optimal mathematic monitoring model according to the monitored factors and the key points; then solving the mathematic model and finding a key point with most attributes and taking the key point as a pre-selection point; invoking an attribute optimizing method for selecting the key points with all the attributes which are close to an attribute mean value if the number of the pre-selection points is greater than 1; invoking a crop growth factor weighing method for determining monitoring points if more than two pre-selection points exist after the treatment; randomly determining that the pre-selection points processed by the crop growth factor weighing method are taken as the monitoring points by using a random algorithm; finally processing a matrix T formed by the key points and the attributes by using a matrix optimizing method of the key points and the attributes to obtain the number of the final monitoring nodes and the distribution positions of the monitoring nodes.