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

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 is applicable to the technical field of environmental monitoring and communication, and provides a remote container monitoring system and method. The system comprises a sending end and a receiving end, wherein the sending end comprises a plurality of temperature and distance measuring modules, an MCU module and a wireless communication module; the sending end communicates with the receiving end through the wireless communication module; each temperature and distance measuring module which is arranged in a container comprises an environmental data acquiring sub-module and an ultrasonic distance measuring sub-module; the MCU module is used for acquiring the environmental data in the container at every preset time quantum through the environmental data acquiring sub-module, and acquiring the rest capacity of the container at every preset time quantum through the ultrasonic distance measuring sub-module, and then uploading the environmental data, the rest capacity and a container mark corresponding to the temperature and distance measuring module to the receiving end through the wireless communication module. With the adoption of the system and method, the rest capacity and environmental data of the container can be remotely monitored in real time, and the labor monitoring cost can be decreased.

The invention relates to the field of video monitoring and discloses an intelligent shooting method and an intelligent shooting device. The intelligent shooting method comprises the steps of detecting whether a person is in a preset detection region or not; when detecting that a person is in the preset detection region, starting a camera for video shooting and marking a video recording time point with a human face in the shot video; and if a video segment meeting the preset requirement exists in the video, intercepting the video segment meeting the preset requirement for storage, wherein the preset requirement is that the density of the video recording time point with a marker in the video segment is greater than a preset threshold. By adopting the intelligent shooting method and device, the shooting device is capable of storing the video segment with relatively high use value in the shot video, so that the condition that the stored video file is overlarge is effectively avoided and the backup or transferring and sharing difficulty is reduced.

The embodiments of the invention provide an identification device and monitoring equipment, and relate to the technical field of electronic control. The identification device is applied to the monitoring equipment, the monitoring equipment is in communication connection with a monitoring terminal, and the identification device comprises an optical sensor, an acoustic sensor, a main control chip and a communication module, wherein the optical sensor, the acoustic sensor and the communication module are all electrically connected to the main control chip; the optical sensor is used for acquiringimage information, and the acoustic sensor is used for acquiring voice information; the main control chip is used for processing the image information and the voice information to obtain an image processing result and a voice processing result; the main control chip is also used for judging an abnormal situation according to the image processing result and the voice processing result, and sendingprompt information to the monitoring terminal in the presence of an abnormal situation. The identification device is applied to the monitoring equipment, realizes the function of judging an abnormalsituation in a monitored area on the monitoring equipment, does not need manual monitoring, and then reduces the cost of manual monitoring.

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.

The invention relates to a quality monitoring system for power cable production and manufacturing. The quality monitoring system is used for monitoring the quality of cable production equipment. The quality monitoring system comprises a cable detection device, a cloud server, a field sensor used for acquiring production field environment information, a wireless network module, an alarm, a controlterminal and a plurality of monitoring terminals. The cloud server and the alarm are connected with the control terminal; the monitoring terminal comprises a data collector used for acquiring production data of the cable production equipment in real time and a field camera used for acquiring video data of each cable production equipment, and the cable detection device comprises a cross section image acquisition device used for acquiring a cable cross section image and a cable electrical property detector. Compared with the prior art, the power cable production process information is acquired in real time and stored in the cloud server, and the cloud server performs comparison to judge whether the cable production process meets the preset production indexes or not, so that the power cable production qualification rate is increased, and the manual monitoring cost is reduced.

The invention relates to a robot remote monitoring method, intelligent equipment, a cloud server and a monitoring system. The method comprises the following steps: intelligent equipment acquiring full-amount monitoring data, adding a corresponding equipment label, and sending real-time state data or the full-amount monitoring data to a cloud server according to an error code; and the cloud serverforming an abnormal snapshot according to the real-time state data or the total monitoring data, and carrying out early warning. According to the invention, normal data is filtered based on an equipment label mode, the monitoring data collection amount and the network occupation amount are reduced, and the resource overhead is saved. Meanwhile, an active alarm mechanism is adopted, multiple stations can be monitored by one person, and the manual monitoring cost is reduced. The operation state of the robot is visually displayed through the map, the abnormal state solving efficiency is improved,and the operation cost of the robot in the building is reduced.

The invention relates to a dust concentration abnormity monitoring devices, and aims to provide a system and a method for diagnosing filter bag damage by a laser radar. The system comprises a laser emission unit, a receiving and detection unit and a control and imaging unit; the laser emission unit comprises a counter, a laser driving circuit, a pulse laser and a collimating lens which are arranged in sequence; the receiving and detection unit comprises a lens cone, a reflecting mirror, a filter and a detector array which are arranged in sequence; the pulse laser, the laser driving circuit andthe counter are sequentially connected to the control and imaging unit through a signal line, and the detector array is connected to the control and imaging unit through a signal line; the control and imaging unit comprises a digital-to-analog signal converter and a computer. The system and method provided by the invention can be used for monitoring a bag dust removal cabin in real time, the phenomena of missing and false report of damaged filter bag are avoided, and the daily operation of a waste incineration power plant is not influenced at all. The system is simple to operate, the maintenance workload is small, the monitoring time is short, the feedback capability is strong, the efficiency is high, and missing detection is effectively avoided.

The invention discloses a traditional Chinese medicine decoction piece quality monitoring and analyzing system based on machine vision, which comprises the following steps: detecting basic parameters and appearance parameters of a target traditional Chinese medicine decoction piece to obtain a basic parameter proportionality coefficient and an appearance parameter proportionality coefficient of the target traditional Chinese medicine decoction piece; further processing to obtain a basic parameter coincidence coefficient and an appearance parameter coincidence coefficient of the target traditional Chinese medicine decoction piece, and obtaining a quality evaluation coefficient of the target traditional Chinese medicine decoction piece according to the basic parameter coincidence coefficient and the appearance parameter coincidence coefficient, so that comprehensive and datamation analysis is performed on the quality of the target traditional Chinese medicine decoction piece. The limitation of quality monitoring and analysis of the traditional Chinese medicine decoction pieces in the prior art is broken through, so that the accuracy and reliability of quality monitoring results of the traditional Chinese medicine decoction pieces are ensured to a great extent, the workload of quality inspectors can be greatly reduced, the manual monitoring cost is reduced, and the monitoring efficiency is improved. And the existing quality monitoring and analysis technology of the traditional Chinese medicine decoction pieces is optimized.

The invention discloses a low-power-consumption wireless networking method. The specific framework for achieving the method comprises an intelligent terminal, father branch points and child branch points. The method comprises the steps that the intelligent terminal initiates a module of a network and controls the work state of the network; the intelligent terminal sends networking information, and the father branch points store routing information after receiving the networking information and then send the networking information to the child branch points; the child branch points store routing information after receiving the networking information; after networking succeeds, the child branch points collect the information of sensors of the child branch points, select the optimal father branch point according to the stored routing information and then send the collected information to the father branch point; the father branch points send data to the intelligent terminal in the same way. According to the low-power-consumption wireless networking method, the manual monitoring cost is saved, the monitoring reliability is improved, monitoring points can be added freely, the monitoring range is widened, the monitoring cost is lowered, and the distance problem of wireless communication is solved.

The invention provides a shaft bottom shaft tail rope fracture detection method based on template matching. The detection problem of fracture of the shaft bottom tail rope is solved. The method includes: based on monocular vision, decoding the video stream data from the camera; reading video images frame by frame; in an initial state, selecting a tail rope rectangular area from a first frame of image to serve as a tail rope template; and searching an image region most similar to the tail rope template in each frame of image by using a template matching algorithm, judging whether a similarity threshold value of the most similar region obtained by matching is greater than D, determining that the tail rope is not broken if the similarity threshold value is greater than D, and otherwise, triggering a tail rope breaking alarm.

The embodiment of the invention provides an intelligent analysis and treatment system and method for mine dust. In the system, an image acquisition module is used for acquiring an image of a light irradiation area in a mine and transmitting the image to a light source analysis model through a first communication module; the light source analysis model analyzes the image to obtain the distribution condition of dust in the mine, and inputs the distribution condition to the dust fall analysis model; the dust fall analysis model is used for analyzing whether the dust concentration in the mine exceeds the corresponding dust alarm concentration or not according to the dust distribution condition, if yes, a dust fall instruction is generated, the dust fall instruction is transmitted to the second communication module, and an alarm instruction is sent to the alarm module; and the control module is used for controlling the dust treatment device to carry out dust falling treatment. In this way, the monitoring and treatment efficiency of the dust in the mine can be effectively improved, and real-time intelligent monitoring analysis and remote automatic control dust falling treatment of the dust in the mine are achieved.

The invention discloses a power transmission line iron tower with an inclination degree monitoring mechanism, which relates to the technical field of power transmission line iron towers, and comprises an iron tower body, an iron tower cross arm and an inclination monitoring mechanism, the inclination monitoring mechanism comprises a first inclinometer installed on an iron tower cross arm, a second inclinometer installed on an iron tower body and a data processing terminal. The data processing terminal comprises a data receiving module electrically connected with the first clinometer and the second clinometer, a data processing module, a signal receiving and transmitting module used in cooperation with the remote monitoring terminal, and a protective shell. Through the arrangement of the inclination monitoring mechanism, the first inclinometer and the second inclinometer carry out inclination measurement on the iron tower cross arm and the iron tower body respectively, measured data is transmitted to the data receiving module, and the data is processed by the data processing module and then is transmitted to the remote monitoring terminal through the signal receiving and transmitting module. Therefore, the inclination angle of the power transmission line iron tower is monitored, the manual monitoring cost is reduced, and the monitoring efficiency is improved.

The invention discloses an intelligent video monitoring system for motion detection, which comprises a streaming media service module, a video playing module, a video alarm module, a pan/tilt controlmodule and an information collecting module, wherein the streaming media service module is connected with the information collecting module and the video playing module; the information collecting module is connected to the pan/tilt control module; and the video playing module is connected with the video alarm module. The intelligent video monitoring system for motion detection in the invention can realize real-time monitoring, real-time monitoring, real-time analysis and real-time alarm, thereby fundamentally solving the drawbacks of lagging of problem processing of the conventional video monitoring system.

The invention provides a pledge state monitoring method and device. The method comprising the following steps: acquiring video data of the position of a pledge through a camera device, acquiring environment data of the position of the pledge through a sensor, and acquiring position change data of the pledge through a positioning device; according to at least one type of data in the video data, the environment data and the position change data, determining the current state of the pledge; if the current state is the abnormal state, outputing the alarm data, realzing automatic monitoring of the state of the pledge according to at least one type of data of the video data, the environment data and the position change data, thus reducing the manual monitoring cost, and monitoring the state of the pledge in time. The opportunity for the camera device to obtain the video data is determined according to the environment data, and the opportunity for the positioning device to obtain the position change data is determined according to the environment data and/or the video data, so that the camera device and the positioning device can be in a standby state without obtaining the video data and the position change data, and the power consumption is reduced.

The application discloses a loading and unloading port state monitoring method, device, equipment and storage medium thereof. The method includes: extracting a video frame sequence from the video stream data of the loading and unloading port; detecting the behavior of the current frame of the loading and unloading port based on adjacent frames in the video frame sequence; . According to the technical solution of the embodiment of the present application, the cost of manual monitoring is reduced, the accuracy of the monitoring system is greatly improved by using the state machine mechanism, and the evaluation efficiency of the loading and unloading port is improved.

The invention relates to a filter system with a server function and a working method thereof. The filter system includes an upper computer and at least one filter press, wherein the filter press comprises a control module. The control module is suitable for collecting operating parameters of the filter press and sends the collected operating parameter data to the upper computer. The upper computeris suitable for storing normal operating parameters of the filter press, and comparing the received operating parameters according to the normal running parameters; if the upper computer judges thatthe received operating parameters are normal, the operating parameters are saved; if the upper computer judges that the received operating parameters are abnormal, alarm information is sent to a userterminal and/or a human-computer interaction interface connected with the control module in the corresponding filter press. The filter system realizes remote monitoring of the operation state of the filter press through the upper computer and the control module in the filter press, saves the cost of artificial monitoring, ensures the effectiveness of monitoring and ensures the filter pressing quality.

The invention relates to the sewage filtering apparatus control technical field, and especially relates to an intelligent backwashing controller comprising a pumping motor and a control circuit; a three-phase power supply is connected in series with the pumping motor through a breaker QF, a contactor KM1 and an electrothermal relay RJ in order; the intelligent backwashing controller also comprises a plurality of valve work indicator lamps; the control circuit comprises a DC switch power supply, a hand-automatic switch QA1, a manual control circuit, an automatic control circuit, a plurality of valve coils and a main water pump coil KM1; the DC switch power supply provides power for the manual control circuit and the automatic control circuit. The advantages are that the intelligent backwashing controller omits a special person managed filter, thus effectively reducing artificial management cost, and ensuring the equipment filtering validity.