7results about How to "Overcome deficiencies" patented technology

This invention discloses a multi-vehicle cooperative control method, system, medium, and program product. The method includes constructing a lateral and longitudinal coupled dynamic model for the multi-vehicle cooperative transportation system and extracting the model matrix of the lateral and longitudinal coupled dynamic model; constructing system constraint equations for the multi-vehicle cooperative transportation system with the cargo as the leader, including motion constraints and articulation constraints, and extracting the constraint matrix of the system constraint equations; obtaining the real-time state of the multi-vehicle cooperative transportation system; calculating the constraint forces of the multi-vehicle cooperative transportation system based on the model matrix of the lateral and longitudinal coupled dynamic model, the constraint matrix of the system constraint equations, and the real-time state; and calculating the actual control quantities of each vehicle based on the constraint forces of the multi-vehicle cooperative transportation system. This invention aims to solve the challenges of strong coupling, nonlinearity, and underactuation in existing multi-vehicle cooperative transportation systems, and improve the tracking performance of multi-vehicle cooperative transportation systems under topologically stable configurations.

The application relates to a life evaluation model establishment method and device, equipment and a storage medium, which are applied in the field of integrated circuits, comprising determining an electrical stress condition of the power device, measuring a failure time of the power device under the electrical stress condition, calculating a Weibull cumulative distribution function of the power device under the failure time, fitting and calculating a characteristic life value of the power device under the electrical stress condition according to the Weibull cumulative distribution function and a preset global shape factor, constructing a deep neural network model, training the deep neural network model by using the characteristic life value obtained by fitting and calculation, and generating an accelerated life evaluation model. The application has the technical effect of performing failure analysis and life evaluation on a device with complex process and structure, and improving the evaluation accuracy.

This application relates to the field of robot control, and in particular to an adaptive control method and system for an intelligent inspection robot. The method includes real-time acquisition of inspection environment data through a sensor fusion structure comprising a lidar, infrared thermal imager, vibration sensor, and voiceprint recognition module; fusion processing of sensor data using an improved Kalman filter algorithm integrated with a deviation repair model algorithm to generate a dynamic 3D environment map and detect abnormal equipment sounds; adjustment of the robot's wheeled compound drive torque distribution by constructing a variable parameter control model suitable for slope scenarios based on an inertial displacement compensation algorithm and a dynamic friction coefficient estimator; and execution of local real-time obstacle avoidance and cloud-based equipment health prediction through an edge-cloud collaborative decision-making system, and dynamic optimization of the inspection path based on a digital twin model. The control system includes a sensor fusion module, a data fusion and localization module, a motion control module, an edge-cloud collaborative decision-making module, and an intelligent path planning engine. This application achieves the effects of more accurate data acquisition, better robot adaptation to complex environments, and improved decision-making and path planning capabilities.

The utility model relates to agricultural waste treatment equipment technical field especially based on light and heat dual drive's black soldier fly larvae and insect sand separation system, include: frame, upper layer separation bin and upper layer separation bin. Upper layer separation bin sets up in the frame top, including the netted conveyer belt of horizontal operation, the flattening scraping thin device of feed end, the light and heat source above netted conveyer belt and the screen mesh anti -blocking device on the return path, the lower layer collection bin sets up in the lower layer separation bin below, including the entity conveyer belt of horizontal operation. The flattening scraping thin device will viscous or too thick insect sand even spread thin, promote light and heat penetrability and larvae drill out efficiency, the screen mesh anti -blocking device passes through the brush penetration and cleans the conveyer belt screen mesh hole, avoids the screen mesh blockage and leads to the conveyer belt shutdown. The above based on light and heat dual drive's black soldier fly larvae and insect sand separation system can realize the efficient and stable separation of larvae and insect sand.

This utility model relates to the field of pressure transmitter technology, and in particular to a high-temperature resistant pressure transmitter, including a support plate, an outer protective assembly on the top of the support plate, and a heat dissipation assembly on the top of the outer protective assembly. Through the coordinated use of a mounting box, an integrated telescopic rod, a stop plate, a buffer spring, and a protective pad, the mounting box protects the transmitter's exterior. After adjusting the integrated telescopic rod, the pressure gauge is fixed using the stop plate. The buffer spring between the side plate and the stop plate provides a shock-absorbing effect during fixing. Furthermore, the outer surface of the stop plate is equipped with a protective pad to prevent instability during fixing. The mounting box and the support plate use a snap-fit ​​design for easy installation and disassembly, thereby improving work efficiency. A temperature detector facilitates internal temperature monitoring, allowing operators to easily understand the values. Starting the fan provides heat dissipation for the internal components and the transmitter.

The application discloses a kind of based on shap explainability analysis's Transform-BiLSTM water quality prediction method, belongs to the field of water quality prediction and explainability artificial intelligence under deep learning.First, the multi-parameter water quality monitoring data of target water area is obtained, and the data is cleaned and normalized.The data is divided into training set, validation set and test set, a hybrid neural network model composed of Transform encoder and bidirectional long short-term memory network is constructed, Transform-BiLSTM training data, evaluation index is calculated, finally SHAP is used to explain and analyze the fusion model, accurately identify the driving factor and the direction and degree of action affecting water quality change.The application significantly improves the accuracy of water quality prediction, enhances the credibility and explainability of the model, and provides intuitive and reliable decision-making basis for water environment management.