39results about How to "Meet the monitoring requirements" patented technology

The invention relates to a motion-estimation-based road video stabilization method, which comprises the following steps of: performing nonlinear smooth denoising on an input image; determining a characteristic searching range according to the requirements of a system on accuracy, and acquiring optimal characteristic information; performing cross grayscale projection on a template and a block to be matched, and finding an optimal matched area according to a difference; constructing a dynamic motion model in a recursion way by adopting a Kalman filter with a uniform motion equation, obtaining motion parameters of a camera for describing inter-frame motions caused by the motions of the camera, and identifying and filtering random jitter in an offset sequence obtained by motion estimation; and filling an area losing an image due to the video jitter, and reconstructing adjacent frames by adopting a hybrid Gaussian model and utilizing time relativity between image sequences.

The invention discloses a multi-target tracking method in an intelligent video monitoring system, and relates to the technology of intelligent video information processing. The method comprises the following steps of: acquiring video data, pre-processing video images, and partitioning targets; and then extracting comprehensive characteristic information combining stable traditional color-based characteristics and contrast-based characteristics for target matching, establishing a multi-generation tracking queue for the tracked targets, implementing alteration of the multi-generation tracking queue by adopting a life quality competition mechanism, and finally implementing reliable target tracking. The method ensures accurate and reliable multi-target tracking results in intelligent video monitoring, meets the multi-target monitoring requirements in specific environments such as highways and the like, and lays a foundation for application research of the intelligent video monitoring.

The invention discloses a wireless flexible patch antenna sensor array for metal structure crack and strain monitoring. The wireless flexible patch antenna sensor array comprises a signal transceivingpatch antenna and a measuring patch antenna array. The measuring patch antenna array includes a plurality of crack monitoring array elements and strain monitoring array elements that are distributedin an array; the crack monitoring array elements and strain monitoring array elements are connected with the signal transceiving patch antenna by delay transmission feeders with different lengths; thestrain monitoring array elements are distributed in gaps of the crack monitoring array elements; and matrixes below the strain monitoring array elements have own ground plates. The signal transceiving patch antenna carries out data communication with an external device. Therefore, defects of single monitoring function and small monitoring range of the r traditional patch antenna sensor are overcome; the requirement of simultaneously monitoring the crack and strain of the metal structure can be met; the good conformal effect with the to-be-detected complex surface is realized; the array also can be applied to monitoring of the vertical metal structure; and monitoring needs in various scenes can be met. Besides, the sensor array has the high expansibility.

The invention provides a communication method and a communication device, and the method comprises the steps: receiving first indication information from a network device, wherein the indication information is configured to indicate a first signal for the monitoring of a wireless link; determining the monitoring of the wireless link based on the first signal according to the first indication information. The method provided by the invention determines the signal for the monitoring of the wireless link through the indication of the network device, so as to meet the requirements of the wirelesslink monitoring in NR or/and NR-like scenarios.

The invention discloses a rolling bearing root part for a support hanger, comprising a foraminate welding slice, a trolley upper protective plate, a welding side slice, trolley guide rails, a pin shaft, a level bubble, a trolley guide rail end block, a trolley scale, a first inside assembly, a second inside assembly, a cart upper protective plate, a cart fastening screw, cart rails, a rolling ball guide groove, a cart guide rail end block and a cart scale, wherein the first inside assembly is inlaid in the trolley guide rails through a rolling ball interface thereof, the second inside assembly is inlaid in the cart rails through a rolling ball interface thereof, the level bubble and the scale are arranged at the lower end of each trolley guide rail, and the scale is arranged at the lower end of each cart rail. The invention has the advantages that the rolling bearing root part for the support hanger has little frictional resistance coefficient to greatly reduce additional force of the support hanger to piping thermal expansion, can mark two dimensional displacement, can enhance the safety of running of piping equipment, enable the equipment running to be more stable, reduces the maintenance time, prolongs the service life, enhances the comprehensive benefit of construction, and can be widely applied to industries such as the power industry, the petrochemical industry, the metallurgical industry and the like.

The invention relates to a video camera special for city road monitoring. The video camera is mainly characterized by comprising a main control module, a special DSP (Digital Signal Processor) for high light masking, an intelligent control module, a video camera, an image processing module, a storage module, a power supply control module, a dimming module, an infrared secondary light source module, a temperature control module, a temperature sensor, a constant-current conversion voltage-stabilizing module and a circuit protection module, wherein the special DSP for high light masking, the image processing module, the temperature control module and the temperature sensor are respectively connected with the main control module, the video camera is connected with the main control module through the intelligent control module and the special DSP for high light masking, and the power supply control module supplies power to the infrared secondary light source and the dimming module according to preset time under the control of the main control module. The video camera has high definition, low luminance and good stability, has the functions of high light masking, back light automatic compensation, white balance automatic regulation, high-speed electronic shutter and the like, and meets the requirement of city road monitoring.

The invention discloses a drilling machine parameter monitoring system for distributed data collection. The drilling machine parameter monitoring system comprises a data centralized processing unit, a driller's station operation unit, an OPC server and multiple data collection modules, the data centralized processing unit comprises a data processing core, a data storage unit, field bus interfaces 1-3 and a communication interface 3, measuring data of each data collection module are acquired by connecting the field bus interfaces 2 and 3 with the data collection modules, and the date processing core processes and stores data, then interacts with the driller's station operation unit through the field bus interface 1 and interacts with the OPC server through the communication interface 4; the data collection unit comprises a data processing core, a CAN communication interface, an RS-485 communication interface, an analog signal shaping circuit, an electric signal measuring unit and a data storage unit. Various field bus technologies are applied, so that the drilling machine parameter monitoring system has high openness and high dispersity.

A purification device for treating tritium gas generated by a neutron imager comprises a control and signal processing system, a gas conveying system, a gas collecting system and a purification treatment system. The control and signal processing system is connected with the gas conveying system, a gas collecting system and a purification treatment system through control signal lines; the gas conveying system comprises a filter, a diaphragm booster pump I and a control valve, the gas collecting system comprises two collecting tanks in series connection with each other, and the purification treatment system comprises a preheater, a palladium and platinum inorganic hydrophobic catalyst catalytic reactor, an air cooler, a condensation collector, a molecular sieve adsorber and an ammonia cooler. Qualified gas having passed an ionization chamber is discharged, and disqualified gas flows back to the collecting tanks through pipelines. Tritium gas purification is implemented efficiently and accurately through the device, the device has the advantages of less generated tritium waste, fewer refueling times and high stability and the like, and requirements such as site environments of a tritium process lab, emission limit and radioactive occupational health protection are met.

The invention provides a distributed sensor cooperation selecting method which including arranging and grouping sensors, calculating the distance between sensor nodes and a target after normalization, calculating the correlation among sensors, calculating the effectiveness of sensor nodes, establishing sensor clusters, calculating the sensing capability, and comparing the relation between the sensing capability of the current sensor clusters and the monitoring precision requirement of the target to complete sensor cooperation selection. Distance and correlation are comprehensively used to calculate the sensing capability of sensor node clusters, the sensor correlation is obtained through a machine learning method and historical data calculation, and the sensor cooperation selection is completed according to monitoring requirement and the sensing capability of the sensor clusters. The sensing capability of sensor clusters can be actually reflected, the optimal sensor cluster cooperation can be selected to meet the monitoring precision requirement of a user, and the network energy equalization can be ensured.

The invention discloses a method for monitoring background resources in system performance tests. The method comprises the following steps of: sending a Shell instruction to a monitored Linux host through executing a Shell script, so as to collect monitoring parameters in the monitored Linux host; sending a request for obtaining the monitoring parameters to the monitored Linux host according to an input IP address of the Linux host; after the monitored Linux host receives the request, feeding the collected monitoring parameters back to a background monitoring system; and obtaining and analyzing the monitoring parameters of the Linux host. The invention furthermore provides a monitoring device corresponding to the method. According to the method and device disclosed by the invention, the realized system resource monitoring indexes satisfy the requirements for the system resource monitoring in most of performance tests.

The invention provides a monitoring method and system for monitoring and alarming multiple distributed MPP clusters. The monitoring method comprises the steps that a monitoring strategy is set for each distributed MPP cluster through a distributed monitoring system; an acquisition center sends an acquisition signal to an acquisition agent module; the acquisition agent module acquires a monitoring index according to the received acquisition signal and returns the acquired monitoring index to the acquisition center module; the acquisition center module carries out alarm operation according to the index value of the monitoring index and judges whether to give an alarm or not; the collected information and alarm information are stored in a resource library module; and a monitoring website module obtains the information of the resource library module, so that alarm information viewing and index trend information viewing are realized. According to the method and the system, independent monitoring strategy setting can be carried out on a plurality of distributed MPP clusters, centralized monitoring is carried out, and compared with a monitoring system which can only monitor one cluster, the problem that switching needs to be carried out across monitoring platforms when monitoring is switched among the distributed MPP clusters can be solved.

The invention discloses a supplement and measuring and calculating method of a blast furnace hearth temperature sensor, and belongs to the technical field of metallurgical industry model measuring andcalculating. According to the technical scheme, the method comprises the following steps of when the blast furnace hearth temperature sensor is damaged and cannot work normally, installing a supplement temperature sensor around an outer side of a position where the damaged temperature sensor is located; considering safety, controlling an insertion depth according to a set threshold value; calculating an original position temperature according to parameters such as materials, the positions, heat flux density, life cycle correction coefficients and the like; and by combining data of the temperature sensor in a normal state, realizing functions of automatically monitoring the blast furnace hearth temperature and alarming. Problems of different depths, a large data difference, difficulty in effectively monitoring a working state of a hearth and a long service life of the original temperature sensor and the supplement temperature sensor are solved. The technical scheme disclosed in the invention has advantages that an implementation method is simple and convenient, implementation cost is low, and a measuring and calculating result is reliable.

The invention discloses a photovoltaic cell assembly monitoring system based on the Internet of Things, an acquisition terminal and a power supply module, belongs to a combination of intelligent hardware and a remote monitoring platform, and mainly solves the technical problems that an existing monitoring system has potential safety hazards, is not visual in display and the like. The key points of the technical scheme are as follows: an acquisition terminal system monitors and acquires signals in a grouping form, namely, the acquisition terminal system comprises data acquisition and signal display of two or more solar cell panels; according to the implementation mode, firstly, all photovoltaic cell assemblies in the photovoltaic power station are grouped, each group comprises more than two photovoltaic cell assemblies, and each group of photovoltaic cell assemblies is connected with one lower computer control panel; the signal output end of each lower computer control panel is connected with a data transmission system and then is connected to a remote monitoring platform. And each lower computer control panel is connected with and monitors 5-12 photovoltaic cell assemblies. The device has the advantages of being small in size, light in weight, easy and convenient to install, high in operation reliability and the like, is mainly applied to a photovoltaic power station to conduct real-time monitoring and alarming on a photovoltaic battery assembly, and is very suitable for large-scale installation and application of enterprises.

An intelligent environment monitoring robot system capable of flying comprises a positioning system, a flight control system, a multivariate data acquisition system and a data processing system, and the flight control system receives monitoring area and target environment parameters input by a user and controls the intelligent environment monitoring robot system to fly to the monitoring area. The multivariate data acquisition system acquires sensing data of a required ground environment and/or acquires an environment sample at a monitoring area according to a target environment parameter input by a user, and the data processing system correspondingly processes the sensing data acquired by the multivariate data acquisition system and/or the acquired environment sample to obtain a value of the target environment parameter. The intelligent environment monitoring robot system disclosed by the invention can cruise in a monitoring area and monitor in real time, and has relatively high time resolution and spatial resolution; the unmanned aerial vehicle can fly to the air and the water surface to collect samples, various sensing data and/or environment samples can be obtained, and the requirement for environment monitoring can be better met.