40results about How to "Low artificial dependence" patented technology

The invention relates to the field of electronic technology, and particularly relates to a video editing method and device. The method comprises the following steps: identifying audio frames included in a video file or a video stream to obtain a target audio frame of which the volume and / or voiceprint meets preset conditions, wherein the video file or the video stream also includes video frames corresponding to each audio frame; determining a display object for enhancing effects corresponding to the target audio frame; determining a corresponding target video frame according to the target audio frame; and adding the display object to an image of the target video frame. According to the video editing method and device disclosed by the invention, the technical effects of reducing the dependence degree of video editing on manual work and automatically editing the video file or the video stream can be achieved.

The invention discloses a wave recording fixed value remote online modification and check method and relates to the technical field of power systems. The method includes a protection working terminal operates and upload fixed value information to an operation working terminal; the operation working terminal operates and confirms the fixed value information uploaded by the protection working terminal; a server sends a fixed value list to a fixed value list system; the fixed values of wave recording devices in different areas are updated and sent back remotely to the server; a fixed value list sent back to the server is compared with the fixed value list sent by the server and modification and check of the wave recording fixed values are implemented. The method provided by the invention has characteristics of simple procedures, good time effectiveness, low human dependence degree and high efficiency.

The invention discloses a following type intelligent crack detection system for train wheels. The intelligent crack detection system consists of a data acquisition module, a communication module, a comprehensive control module and a cloud data transmission module. The invention also discloses a following type intelligent crack detection method for the train wheels. The following type intelligent crack detection method comprises the following steps that the data acquisition module completes the mapping of wheel inner information to operable data; the communication module completes the transmitting of the data; the comprehensive control module completes the sending of an instruction, and the processing and the storing of the data; and the cloud data transmission module completes the backdating of initial data and the sharing of alarming data. Compared with the prior art, the following type intelligent crack detection system disclosed by the invention has the beneficial effects that the efficiency and the accuracy of detecting cracks in an online and real-time manner are improved, data sharing and informationization management are facilitated, and the following type intelligent crack detection system conforms to the developing trend of big data, and is convenient to quickly mount.

The invention relates to the technical field of mask production, and in particular, relates to a mask detection mechanism. A mask detection mechanism in the prior art is complex in structure, and a qualified mask can be damaged to a certain extent when the mask detection mechanism is used. For solving the problem, the following technical scheme is adopted: the mask detection mechanism comprises aconveying belt and a mask detection assembly, the mask detection assembly comprises a detector and a data processing device which are arranged above the conveying belt, the detector is in communication connection with the data processing device, and the data processing device can identify a defective mask through the signal transmitted by the detector. According to the technical scheme, the detection mechanism can be smoothly connected with a production line, automatic defective mask screening can be achieved, the structure is simple, and the manual dependence degree is low.

The invention discloses a digital television front-end platform operation and maintenance monitoring and analysis system, which comprises a server, an acquisition end and a display end, and is characterized in that the server comprises short message alarm equipment and a server carrying a database and a service platform system, and can store, monitor, alarm and statistically analyze data of digital television platform equipment; the acquisition end monitors monitored equipment and acquires data information through an acquisition probe, and a management host of the display end monitors the operation state of platform equipment and acquires acquired data by displaying and checking a service platform system, so that intensive management of the front-end platform equipment of the digital television is realized, and the equipment maintenance efficiency is improved. The system is low in manual dependence degree and high in timeliness, alarm information can be obtained through the management host and the short message alarm device when the device breaks down or is abnormal, the fault device can be found in the first time, operation and maintenance work can be rapidly carried out, meanwhile, data of the collection device can be managed and analyzed, and the use efficiency of the data is effectively improved.

The invention discloses a tunnel detection method and device based on an unmanned aerial vehicle. The method comprises the following steps: receiving a video image of a tunnel acquired by the unmanned aerial vehicle; performing preprocessing and standardization processing on the video image; and inputting the preprocessed and standardized video image into a trained three-dimensional convolutional neural network (3D-CNN) model, wherein the three-dimensional convolutional neural network model outputs a tunnel disease detection result according to the video image. According to the method, the video image of the tunnel is acquired through the unmanned aerial vehicle, and the video image is input into the trained three-dimensional convolutional neural network model, so that the space and time features in the video can be better captured, the tunnel disease detection result is quickly output, the recognition rate, the detection frequency and the processing speed of the tunnel disease are improved, and the manual dependence degree is reduced.

The invention discloses a pig diet abnormal intelligent monitoring method and system, comprising a pig diet data acquisition layer, a pig diet data transmission layer, and a pig diet abnormal intelligent monitoring layer; the pig diet data is uploaded to the pig through the Ethernet of the pig diet data transmission layer Intelligent monitoring layer for abnormal diet; the intelligent monitoring layer for abnormal diet of pigs processes, judges, displays and alarms the collected dietary data. The invention is reasonable in design, low in cost, simple in structure, small in size, high in stability, not easily affected by environmental factors, friendly in human-computer interaction, improves the intelligence level of pig diet abnormality monitoring, reduces manual dependence, and improves pig diet Anomaly detection efficiency.

The invention discloses a tunnel detection method and device based on an unmanned aerial vehicle. The method includes: receiving a video image of a tunnel obtained by an unmanned aerial vehicle; performing preprocessing and standardization processing on the video image; The processed video image is input into a trained three-dimensional convolutional neural network (3D-CNN) model, and the three-dimensional convolutional neural network model outputs a tunnel defect detection result according to the video image. The invention obtains the video image of the tunnel through the drone, and inputs the video image into the trained three-dimensional convolutional neural network model, which can better capture the spatial and temporal characteristics of the video, and quickly output the tunnel defect detection result , improve the identification rate, detection frequency and processing speed of tunnel diseases, and reduce the degree of manual dependence.

The invention relates to the technical field of drilling machines, and provides an automatic drilling machine capable of feeding, which is low in degree of dependence on manpower in the feeding and discharging processes, can realize automatic positioning after feeding, is relatively good in universality of a positioning assembly, is relatively practical, can be automatically loosened after machining is completed, is relatively high in degree of automation, is convenient to form assembly line type production, and is suitable for large-scale production. The automatic drilling machine is high in overall machining efficiency and comprises an automatic drilling machine body, the automatic drilling machine body is provided with a workbench, the automatic drilling machine further comprises an assembly line conveying belt, the assembly line conveying belt is installed on the automatic drilling machine body through a driving roller assembly and a driven roller assembly, a plurality of pressing-in openings are formed in the assembly line conveying belt, and a tight supporting assembly is installed in the automatic drilling machine body. Four lifting rods are connected to the workbench, lifting electric rods are installed between the four lifting rods and the automatic drilling machine body, a front pressing roller is connected between the two lifting rods, close to the front side, of the four lifting rods, and a rear pressing roller is connected between the two lifting rods, close to the rear side, of the four lifting rods.

The invention provides a tea feeding device. The tea feeding device comprises a tea storage hopper and a tea conveying mechanism, wherein the tea storage hopper is connected with the tea conveying mechanism, the tea storage hopper and the tea conveying mechanism are both provided with material inlets and material outlets, the material outlet of the tea storage hopper is connected with the materialinlet of the tea conveying mechanism, the tea conveying mechanism is internally provided with a spiral type propulsion component, and the spiral type propulsion component is used for conveying tea. The tea feeding device and a feeding method can be used in an automatic tea infuser, the defect that an existing automatic tea infuser is not provided with an automatic feeding mechanism is made up for, the labor dependence degree is effectively reduced, requirements of clubs, hotels, manors, banks and other entertainment places are met, and the tea feeding device and the feeding method have quitehigh market competitiveness.

The invention provides a UUV deployment and recovery protection device, comprising: a boom installation interface plate, a hanging plate, a movable inner ring, a fixed outer ring, a horizontal vibration isolator, a support frame, an annular vibration isolator and a protective frame. The use of this protection device can effectively avoid the shaking and swinging of the UUV carrier during the UUV deployment and recovery operation, and at the same time, it can reliably absorb the impact caused by the swing and shaking belt on the UUV carrier, reducing the manual dependence of the deployment and recovery process. Reducing the demand for manpower can also improve the safety of deployment and recovery operations, reduce the risk of collision of UUV carriers, and achieve effective protection of UUV carriers during deployment and recovery under high sea conditions.

An ultrasonic detection system for a hollow axle of an EMU mainly includes: a probe rod module, a motor control module, a UT (ultrasonic flaw detection) module and user software. The working process of the system is as follows: After logging in the user software, configure the detection shaft type and detection parameters, and drive the two motor modules to run. The motor module drives the rotation motor and the feed motor, the rotation motor drives the rotation of the probe rod, and the feed motor drives the movement of the probe rod through the hinge. Multiple probes of different types are installed at different positions on the probe rod. The probe is controlled by the UT module, which receives the reflected ultrasonic waves after sending them, and uploads the ultrasonic flaw detection data to the user software. After the data processing and transformation of the user software, the system can display the A-scan and intuitively draw the B-scan and C-scan, so that it can quickly judge the existence of defects, the location and size of internal defects, and has storage, playback, View and other functions.

The invention discloses a device for dynamically measuring X-ray film density, and belong to the field of industrial X-ray film density measurement. The device overcomes the shortcomings that a traditional density measuring device is mainly used for single-point measurement and not applicable to density detection of large-scale films, and measurement processes are complicated. Illumination is collected based on multi-sensors, an ingenious structure is designed, multi-area, high-accuracy and high-speed dynamic measurement of a film density value is achieved by an automatic nondestructive transmission principle of a belt and signal processing of high-performance chips, rapid quality judgment of the large-scale films required by industrial film review occasions can be met, so that smooth implementing of subsequent processing of the films is ensured, and film processing efficiency is improved.