6results about How to "Realize accurate judgment" patented technology

The invention provides a GIS submillimeter particle defect accumulation and development stage identification method and device, and belongs to the technical field of power test equipment. Comprising the following steps: acquiring ultrasonic signals of submillimeter particles moving in a GIS (Geographic Information System) and extracting ultrasonic signal feature data; collecting pulse current signals and extracting pulse features; carrying out reliability verification on the ultrasonic signal characteristic data and the pulse characteristic data, and removing abnormal data; establishing a feature matrix based on the ultrasonic signal feature data and the pulse feature data, and inputting the feature matrix into a multilayer convolutional neural network CNN model for analysis to obtain an accumulation form and a development stage of particles in the GIS; the accumulation form and the development stage comprise a small-amplitude vertical jumping form in the early stage, a large-amplitude vertical jumping form in the middle stage, a horizontal diffusion form in the last stage and a fuzzy state. According to the detection method, the accumulation form and the development stage of the particles can be accurately judged, and the detection reliability is improved.

The invention discloses a method and device for intelligently determining the edge of a rib by an ultrasonic robot, and the method comprises the steps: moving a probe at the tail end of a mechanical arm of the ultrasonic robot to an initial position, and recording the initial contact force and initial position of the probe and a human body in the vertical axis direction; a mechanical arm of the ultrasonic robot is controlled to press downwards, the contact force and the position after pressing of the probe are recorded, and the current rigidity value is calculated according to the initial contact force and the initial position; then whether the current rigidity value and the obtained previous rigidity value are larger than a preset rigidity threshold value or not is judged; the position condition of the current probe is determined according to the judgment result, the probe is moved to the next initial position according to a preset moving rule, and the downward pressing and rigidity value judgment process of the mechanical arm of the ultrasonic robot is executed again; and according to the obtained three-dimensional space position after upward and downward pressing and the current three-dimensional space position after downward pressing, the rib edge position is obtained through calculation. According to the method, accurate judgment of the rib edge position can be realized.

The invention discloses an intelligent rice irrigation system and method, and relates to the technical field of rice irrigation, and the method specifically comprises the following steps: analyzing the water level state information, obtained in real time, of each land parcel, and evaluating the water level balance condition of each land parcel in a rice field region; dividing each plot into a low-water-level plot, a normal-water-level plot and a high-water-level plot according to a comparison result; according to the division result of each land parcel in the rice field area, constructing a regulation and control mechanism for dynamically adjusting water levels of different land parcels, and applying the regulation and control mechanism to a current irrigation system after construction; in the regulation and control mechanism application process, water level feedback information of all the land parcels is obtained in real time, analysis is conducted after obtaining, whether the regulation and control effect of the regulation and control mechanism in all the land parcels can balance the water level of the rice field area or not is evaluated, and the regulation and control mechanism is optimized according to the evaluation result. The problem that the water level of the rice field is not adjusted and controlled evenly is solved, accurate and automatic water level management is achieved, and efficient growth of rice is guaranteed.

The invention relates to a multi-mode user emotion recognition method, device and equipment and a medium, the method is applied to sound equipment, and the method comprises the steps that physiological data, voice data and image data of a target user are acquired; extracting physiological features from the physiological data; extracting voice features and semantic features from the voice data; extracting facial features from the image data; and determining the emotion of the target user according to the physiological features, the voice features, the semantic features and the facial features. Therefore, according to the technical scheme of the invention, the accurate judgment of the emotion of the target user is realized by integrating the four types of modal data of the physiological features, the voice features, the semantic features and the facial features. The four types of features respectively map the emotional state of the user from four dimensions of physiological reaction, acoustic expression, semantic connotation and visual expression to form a multi-dimensional complementary emotion recognition system. The mechanism can recommend appropriate music content to the user, the auditory demands of the user under different emotions are met, and the use experience of the user is remarkably improved.

The present invention relates to the technical field of preform injection molding detection technology, and specifically discloses a high-performance carbon fiber preform injection molding detection system and detection method, which can realize real-time analysis of high-performance carbon fiber preform injection molding process parameters, ensure corresponding adjustment of the injection molding process and injection molding automation data generation process. The system includes: a data acquisition unit collects injection molding process parameters and screw speed data of automated handling equipment in real time through a multi-sensor; a preform injection molding recognition unit automatically identifies abnormal areas in the image information of the injection molding surface of the preform online; a data analysis unit statistically analyzes abnormal areas in image information obtained at different time points at the same detection position within a historical time period, compares and judges the processing quality of the injection molding surface of the preform, and adjusts the injection molding process parameters according to the comparison results; a process detection unit detects the matching degree of the preform and the mold under the adjusted injection molding process parameters online, and adjusts the screw speed according to the detection and analysis results.

This disclosure provides a method and system for evaluating the operational status of electricity meters in a distribution area based on multi-node voltage differences. It belongs to the field of online status monitoring technology for electricity meters. The scheme constructs a model based on information from all electricity meters and line nodes in the distribution area. It pre-collects the output voltage and current signals of all electricity meters during normal operation, establishes a temperature calculation model function based on the conductor thermal balance equation, and uses an iterative method to determine the conductor temperature, thereby determining the conductor resistivity. After measuring the line length, it establishes the line resistance equation; after establishing the voltage equation at the nodes, it obtains the voltage difference state characteristic quantity; it establishes an offline state characteristic quantity dataset of voltage differences for all nodes in the entire distribution area; and it determines the operational status of the electricity meters by comparing the offline and real-time state characteristic quantity datasets. This invention fully utilizes the node voltage difference information of different lines in the distribution area to establish a characteristic quantity model and monitor the operational status of electricity meters in real time, effectively ensuring the accuracy and reliability of electricity metering in the power system.