6results about How to "Overcome missed detection" patented technology

The present application discloses a defect detection method, device, storage medium and computer equipment for oil and gas pipelines, and relates to the field of image processing. The method includes: collecting internal information of the oil and gas pipeline to be tested, and based on the internal information of the pipeline, generating a heterogeneous image group of the oil and gas pipeline to be tested, the heterogeneous image group includes a picture of the internal pipeline, a magnetic leakage pseudo-color image, an eddy current pseudo-color image and an ultrasonic pseudo-color image; obtaining the pipeline physical information of the oil and gas pipeline to be tested at multiple sampling points, and extracting the expert experience characteristics and physical evolution characteristics of the oil and gas pipeline to be tested based on the pipeline physical information, wherein the pipeline physical information includes the environmental information of the oil and gas pipeline to be tested and the physical information of the oil and gas pipeline to be tested itself; based on the heterogeneous image group, expert experience characteristics and physical evolution characteristics of the oil and gas pipeline to be tested, the defect detection results of the oil and gas pipeline to be tested are obtained through the trained pipeline defect detection model. The above method can improve the accuracy of complex defect detection.

The utility model relates to the technical field of carbon fiber production equipment, and discloses a carbon fiber broken filament roller winding inspection device and a carbon fiber oxidation furnace, the carbon fiber broken filament roller winding inspection device comprises a motion module, an image acquisition module and a calculation processing unit, the motion module is used for being arranged in the carbon fiber oxidation furnace and can reciprocate in the length direction of a roller, the image acquisition module is arranged on the motion module so as to move along with the motion module and acquire a surface image of the roller, and the calculation processing unit is in communication connection with the image acquisition module. The image acquisition module is used for acquiring the surface image of the roller, and is used for receiving the surface image of the roller acquired by the image acquisition module and analyzing the surface image to determine whether the broken filaments wind the roller or not, so that the carbon fiber broken filament roller winding inspection device not only has the advantage of high detection efficiency, but also can realize 24-hour uninterrupted work; and the problem that the carbon fiber broken filaments wind the roller on the surface of the roller can be found in time, so that adverse effects caused by the carbon fiber broken filaments wind the roller are effectively prevented.

A production line intelligent point inspection system provided by the present invention comprises a PLC module, a relay module, a touch screen module, a communication module, a switch and a power supply module, the switch is connected with the PLC module and the touch screen module, the PLC module is connected with the relay module, the relay module is connected with a safety sensor on a production line, the communication module is connected with the PLC module, and the power supply module is connected with the PLC module. The communication module is in communication connection with a production line control system; and the PLC module is also directly connected with a safety sensor on the production line. During point inspection, the relay module in the system can simulate triggering of the safety sensor, and reset of the safety sensor is controlled through the PLC module. In the process, a control system of the production line judges the change condition of a safety sensor signal and feeds back the change condition to the PLC module. And the PLC module judges whether the point inspection of the safety sensor is abnormal or not according to the change condition of the signal. Through the spot inspection system, manual spot inspection can be replaced, the spot inspection efficiency of the safety sensor is improved, and the problem of missing inspection can be solved.

This application discloses a method and system for detecting coating defects on PVC flooring surfaces, relating to the field of coating defect detection. First, the original image containing strong specular reflection and low signal-to-noise ratio scratches is transformed to the frequency domain. Utilizing the principle that scratches, as linear structures, exhibit directional characteristics in the frequency spectrum, they are separated from large-area low-frequency background noise and glare signals, accurately identifying scratches of arbitrary direction in the current image and extracting their principal direction angle. Subsequently, based on this real-time detected directional information, an adaptive anisotropic filter that perfectly matches it is dynamically constructed. Finally, after filtering and inverse transformation, the characteristic signal of the scratches is significantly amplified, and the contrast is greatly improved, thereby achieving accurate segmentation and detection of weak, randomly oriented scratches under strong interference backgrounds, effectively overcoming the problems of missed detection and computational redundancy in traditional methods.

The invention relates to the technical field of agriculture and plant protection, and discloses a blueberry garden disease and insect pest green comprehensive prevention and control system construction method comprising the following steps: deploying a distributed sensing network comprising an acoustic sensing unit, a vibration sensing unit, a chemical sensing unit and an environmental parameter unit in a blueberry garden area, acquiring an original analog signal and converting the original analog signal into a standardized multi-mode data stream; the information fusion analysis module is used for determining space-time position information of a biological target, and a deep learning model is used for identifying biological types and behavior modes and evaluating the risk level of diseases and insect pests; a collaborative intervention instruction is generated by using the collaborative intervention decision module, and the behavior interference sound wave emission unit, the natural enemy intelligent release unit or the plant immune resistance inducer trace spraying unit is driven to execute collaborative intervention operation. According to the method, multi-mode accurate sensing and physical and biological collaborative treatment are realized, the blueberry quality is guaranteed, and self-adaptive optimization of a prevention and control strategy is realized.

The invention discloses an automatic polarity detection method for MT-FA, and the method comprises the steps: S1, sequentially transmitting optical signals through a laser light source module at an MT end, and transmitting the optical signals from the MT end to an FA end through an optical fiber; s2, carrying out real-time image shooting by double cameras at the FA end; s3, the image processing module analyzes the image data acquired by the double cameras; s4, judging whether the polarity of the FA end is correct or not; and S5, when determining that the polarity is wrong, prompting that the polarity is wrong, and extracting and reporting wrong information points. According to the invention, a double-camera and multi-feature fusion detection method is adopted, the light emitting condition of the optical fiber is comprehensively shot from different angles, various features such as the light intensity, the mass center and the gradient of the optical signal are comprehensively analyzed, and the limitation of the existing single-camera and single-feature detection method is made up. Automatic detection can ensure that a stable and consistent detection result is kept under various operation conditions, and the reliability of the system is further improved.