32results about How to "Reduce manual monitoring costs" patented technology

The invention discloses a tunnel defect recognition method and a multi-image recognizing method. A linear array charge coupled device (CCD) and an image fusion technique are adopted to acquire and store digital images of a tunnel surface at a high speed, furthermore a digital image processing algorithm is adopted to perform characteristic classification modeling on known tunnel defects, a characteristic database is established for defect characteristic matching and defect recognition, and thus the defect detection efficiency and the accuracy are improved. The potential defect characteristics are repeatedly extracted by utilizing multiple detection means, the detection efficiency is ensured, and the accuracy in defect classification and the accuracy in parameter estimation are improved.

The invention intends to disclose a method and a system for monitoring and managing videos on the basis of structured description to analyze and understand video images and generate structured description data having correspondence with video data, so that a user can achieve the informationize application in searching, browsing and retrieving video image data through the operation on the video description data. The invention has the advantages of stable and reliable operating performance and wider applicable range, solves the problem of the analysis and management of mass video data, and achieves the purposes of reducing the cost for artificial monitoring and improving the technical levels of the intelligentization and informationization of the existing video monitoring system.

The invention discloses a soft measurement method for key indexes in a complex industrial process, and the method comprises the following steps: 1, acquiring visual data and process parameter data, and obtaining values of the corresponding key indexes through later laboratory tests; 2, constructing a video data space-time sequence feature extraction network model on video data by adopting a cross-frame fusion convolutional neural network (DCFNN) provided by the invention, and establishing a video data space-time sequence feature extraction network model based on the video data space-time sequence feature extraction network model based on the DCFNN; 3, constructing a time sequence feature extraction model on the industrial parameter data by adopting a GRU network; 4, inputting the collecteddata and process parameters, carrying out dual-channel concurrent extraction on feature data with a time sequence, and carrying out key index soft measurement by adopting a full-connection network ofan attention mechanism, and carrying out reverse model training according to the real key index value obtained by assay; 5, carrying out real-time estimation on key indexes which are difficult to monitor on line by adopting the trained soft measurement model.

Embodiments of the present invention relate to the technical field of hazardous chemicals management, and in particular, relate to a method, device and electronic equipment for managing hazardous chemicals. The method includes: when the dangerous chemicals are taken out, recording the picking information of the dangerous chemicals; calculating the estimated transportation route of the dangerous chemicals according to the picking information; Read the bluetooth tag of the hazardous chemical to determine the actual transportation route of the hazardous chemical; detect whether the actual transportation route of the hazardous chemical matches the estimated transportation route; if not, report to the supervisor The terminal sends an alarm message. Through the above method, the embodiments of the present invention can realize real-time online monitoring of hazardous chemicals, thereby improving management efficiency and reducing manual monitoring costs.

The invention relates to a dust concentration abnormality monitoring device, and aims to provide a system and method for diagnosing filter bag damage by using laser radar. The system includes a laser emitting unit, a receiving and detecting unit, and a control and imaging unit; the laser emitting unit includes counters, laser drive circuits, pulse lasers and collimating lenses arranged in sequence; the receiving and detecting unit includes lens barrels, mirrors, filters and chip and detector array; the pulse laser, laser drive circuit and counter are sequentially connected to the control and imaging unit through signal lines, and the detector array is connected to the control and imaging unit through signal lines; the control and imaging unit includes a digital-to-analog signal converter and a computer. The invention can be used for real-time monitoring of the bag dust removal cabin, does not miss and falsely report the damaged filter bag, and does not affect the daily operation of the waste incineration power plant at all. The system has simple operation, small maintenance workload, short monitoring time, strong feedback ability and high efficiency, which can effectively avoid missed detection.

The invention discloses a device and a method for performing structuralized description for input audios by aid of a dual-core processor. The core of the device is a dual-core control chip, and the dual-core digital signal processor (DSP) of a single chip can be used for processing and analyzing the audios, dividing images into a plurality of sections and sub areas, performing feature extraction and high-level semantic analyzing for the audio image sections and the sub areas and finally coding the audio images, image features and high-level semantic data to obtain codes of the audio images and codes of audio image structuralized descriptive data. Network transmission is carried out in wired mode and wireless mode. The coded data are structuralized descriptions for the audio image features and contents, facilitate inquiring, researching and browsing of users, and enable monitoring audio data to be effectively used and managed.

The invention discloses a flow monitoring device for rivers containing sediment, which comprises a chute and a main body, a torque motor is arranged at the top of the chute, a screw rod is installed at the output end of the torsion motor, and sliders are arranged in the chute; one side of the chute A drive motor is provided, and a winch and a drag cable are provided at the output end of the drive motor. The invention adopts the cooperation of chute, slider, screw and torque motor, and the detection main body slides within the stroke of the chute to complete the monitoring of rivers at different depths at the same point without manpower adjustment of the monitoring depth; a winch and a cable are set, and the slider exceeds The limit position of the chute, the main body breaks away from the chute and sinks into the bottom of the water, and the hydrological monitoring of the river bed and the bottom of the water follows the flow of the river, which improves the scope of application of the device, and does not require multi-equipment sampling, reducing the number of sampling devices used; slidingly installed on the mounting plate A number of sliding plates can filter and intercept sediment particles of different sizes by replacing the filter screen, and complete the flow monitoring of sediment particles in different states.

The invention relates to a water level early warning method and device for a sewer line, terminal equipment and a storage medium, and the method comprises the following steps: obtaining target information, and judging whether a flowmeter meets a starting condition or not according to the target information; when the starting condition is met, the flowmeter is started, and the water flow collected by the flowmeter is obtained; a water flow threshold value is set, when the collected water flow is larger than the water flow threshold value, the water level early warning device outputs a first early warning signal to a remote monitoring center, and a drainage pump of a sewer line is controlled to operate forcibly; when the water flow collected by the flow meter is smaller than or equal to the water flow threshold value, the radar water level gauge is started, the water level height of the sewer line is obtained, the water level height threshold value is set, and when the water level height is larger than the water level height threshold value, the water level early warning device outputs a second early warning signal to the remote monitoring center to control a drainage pump of the sewer line to operate forcibly. The system does not need manual water level monitoring, can effectively reduce the manual monitoring cost, and is good in real-time performance, simple in structure and high in operability.

The invention relates to the technical field of cable temperature monitoring and discloses a non-intrusive temperature monitoring sensor, which comprises an insulating shell, a metal temperature sensing base plate, a surface acoustic wave temperature monitoring module and an antenna, wherein a groove is arranged in one end of the metal temperature sensing base plate; the insulating shell is fixedly arranged at the other end of the metal temperature sensing base plate; the sound acoustic wave temperature monitoring module and the antenna are fixedly arranged on the metal temperature sensing base plate inside the insulating shell; and the surface acoustic wave temperature monitoring module is electrically connected to the antenna. The non-intrusive temperature monitoring sensor is reasonableand compact in structure, convenient to use, in direct contact with a heating position and high in data acquisition precision, the cost is reduced without a power supply, and the performance is safeand reliable; the sensor does not need to be manually held to be close to the power supply, so that the risk of electric shock during maintenance due to the fact that a maintainer is in direct contactwith an electrified body is avoided; and meanwhile, the real-time data monitoring of a temperature change state during operation of a switch cabinet is achieved, and the operation state of the switchcabinet can be obtained by analyzing the temperature data in order to provide data support for maintenance.

The invention relates to a self-adaptive adjustment method for a suction nozzle of a chip mounter. The self-adpative adjustment method comprises the steps of opening a vacuum air path of the chip mounter, descending a suction nozzle rod to a designated position, continuously monitoring a vacuum value in the suction nozzle by a head control plate, and controlling a first running state of the suction nozzle rod according to the monitored vacuum value. By means of the characteristic that the vacuum value of the suction nozzle is in close relevant to the suction material condition of the suction nozzle, the self-adaptive adjustment is performed on the suction nozzle by monitoring the vacuum value in the suction nozzle and according to the vacuum value, the reject ratio of the suction material of the suction nozzle is reduced, the waste of components is reduced, and the suction success rate and stability of the suction nozzle are improved.