12results about How to "Done successfully" patented technology

The invention provides a production business mode construction method based on an industrial internet platform, and relates to the technical field of data processing, and the method comprises the steps: collecting multi-source data, and carrying out the preprocessing of the multi-source data; calculating the adaptation degree of the equipment and the task; dynamic influence parameters are extracted, and operation parameters in the equipment data are adjusted in combination with the adaptation result; constructing a weighted multi-objective function in combination with a completion time limit, a resource demand and a priority factor in the task data; generating a task priority sequence by solving the multi-objective function, and generating a task scheduling strategy according to the task priority sequence; in combination with the real-time state parameters in the equipment data, calculating the utilization efficiency of the equipment resources; performing priority ranking on the equipment according to the equipment resource use efficiency, and generating a resource allocation scheme through a segmented dynamic optimization algorithm; generating a production business mode according to the task scheduling strategy and the resource allocation scheme; according to the invention, the autonomy and accuracy of the production business mode are improved.

The invention provides an intelligent vehicle type identification and dynamic regulation and control loading system, and compared with the prior art, the intelligent vehicle type identification and dynamic regulation and control loading system comprises an arrangement module, an identification module, a loading control module, a dynamic regulation and control module and a real-time monitoring platform. The arrangement module intelligently dispatches and matches vehicles according to transportation requirements; the identification module accurately identifies vehicle information through an image identification algorithm; the loading control module controls the loading device to automatically complete material loading through a PLC. The dynamic regulation and control module adjusts the loading speed according to the real-time loading state, and overload or too slow loading is avoided; and the real-time monitoring platform provides transportation task progress monitoring and abnormity alarming, so that the loading process is ensured to be carried out smoothly. According to the system, the utilization efficiency of transportation resources can be effectively improved, the transportation cost is reduced, and the automation and intelligence level of loading operation is improved. Through intelligent scheduling and dynamic regulation and control, it is ensured that the material loading process is more efficient and accurate.

The invention relates to the field of underwater topographic survey, in particular to an unmanned ship track planning system for underwater data acquisition, which comprises a GPS positioning module, a data acquisition module, a data processing module, an initial path planning module and a path adjustment module, and is characterized in that the GPS positioning module is used for obtaining the positioning of an unmanned ship and the positioning of a final destination of the unmanned ship; the data acquisition module is used for acquiring data; the data processing module is used for performing primary processing on the data; the initial path planning module is used for planning an initial path of the unmanned ship; and the path adjusting module is used for adjusting the path of the unmanned ship. According to the invention, the preset coordinates are generated through the initial path planning module, so that planning of the moving path of the unmanned ship is facilitated, it is ensured that the effective range of the collection range of the unmanned ship can spread over the whole river channel, and various data required for constructing the three-dimensional terrain model of the water bottom of the pond can be acquired.

The invention discloses a mechanical arm grabbing method in a disordered screening scene, which comprises the following steps: acquiring point pair feature information of a workpiece model based on a color image and a point cloud picture, and storing the point pair feature information in a hash table; acquiring a color image and a point cloud picture of the scene instance, and realizing point cloud instance segmentation through a target recognition model algorithm; appearance edge detection is carried out on the scene instance point cloud, point pair features are established, and point pair feature descriptors are generated; performing point cloud registration on the point pair feature descriptor and point pair feature information of a workpiece model to obtain 6D pose information of a plurality of instances of the target workpiece; and predefining the reference direction of the target workpiece in the coordinate system and setting the pose specified axis as a Z axis, and determining the effective pose in the 6D pose information of the multiple instances of the target workpiece. Correspondingly, the invention further provides a mechanical arm grabbing system, electronic equipment and a storage medium. According to the invention, the accuracy and efficiency of picking up the target workpiece from the scattered and shielded industrial parts in a disordered screening scene can be improved.

The application discloses a kind of unmanned aerial vehicle hoisting task optimization method and device, and the application relates to unmanned aerial vehicle scheduling technical field, comprising the following steps: based on hoisting starting point and target construction site determines hoisting path boundary, and the point cloud data of this area is collected, set along the way node, obtain the signal strength of each node and analyze its fluctuation, filter out the effective path point of signal stability, according to the distance of effective path point and target construction site Priority is set, with hoisting starting point as center, determine search range, select several candidate nodes from it, and collect wind speed variation, terrain complexity and cargo swing angle, calculate the risk cost of each node, select the candidate node with the lowest risk cost as the next waypoint, update the current effective path point of unmanned aerial vehicle, until unmanned aerial vehicle reaches target construction site, complete hoisting transport task, realize more safe and reliable transport movement.

The present invention discloses a multi-modal fusion underwater environment intelligent perception system and method thereof, and relates to the technical field of multi-modal data processing. A sonar device is used to detect whether there is an obstacle in front of a detector. If so, depth image data in front is collected to obtain entity data, and a movement prediction model of the obstacle is trained based on the depth image data. The movement data of the obstacle is obtained based on the movement prediction model prediction. Based on the entity data and movement data of the obstacle and the current movement path of the detector, it is determined whether a collision will occur. If a collision will occur, based on the time when the collision is determined to occur, it is determined whether the obstacle needs to be bypassed. If bypassing is required, a new movement path is planned based on the entity data and movement data and the target location and current position of the detector. The intelligence level and task adaptability of the underwater detector are improved to ensure the smooth completion of the operation and the safe operation of the equipment.

The invention relates to the technical field of intelligent closestools in bathroom accessories, and provides a working process of a urinalysis closestool, the closestool is provided with a water seal, and a detection hole is formed in the water seal; the urinalysis mechanism is provided with a detection element and a plug, the detection element can extend out of a detection hole of the closestool to collect urine, and the plug is used for sealing the detection hole; comprising the following working processes that S1, a mainboard receives a urinalysis instruction and starts to check the state of a urinalysis device and / or a closestool; s2, entering a urinalysis program if the state detection is qualified, starting a water seal emptying program, and enabling the water seal liquid level to be not higher than a detection hole of the closestool; s3, moving the plug to open the detection hole; s4, moving the detection element to a urine collection position; s5, urine is sprayed to the detection element, and urine is collected; s6, after urine collection is completed, waiting for the detection element to react, moving the detection element to a data acquisition position after the reaction, and acquiring reaction data; and S7, after acquisition is completed, executing a reset program. Therefore, people can conveniently carry out urinalysis at home.

The embodiment of the present invention discloses an epidural interventional device, an adhesion release method and an electrode movement method. The interventional device includes a guidewire structure, a sleeve structure and an elastic structure. The guidewire structure includes a guidewire body and a first balloon, and the sleeve structure includes a sleeve body and a second balloon. The two ends of the elastic structure are respectively connected to the guidewire body and the sleeve body, and are used to push the interventional device to move in the adhesion area. The guidewire structure cooperates with the sleeve structure, and the elastic structure pushes the interventional device to enter a narrow space, and the first balloon and the second balloon can release the epidural adhesion area, expand the electrode puncture target position, and ensure the smooth completion of the operation.

The invention relates to the technical field of energy-saving control, in particular to a power supply energy-saving control method and system applied to the ultrasonic field, the method is applied to an ultrasonic detection system, and the ultrasonic detection system comprises an ultrasonic master control device and a plurality of movable ultrasonic detection terminals. The method comprises the steps of generating a detection task energy-saving sorting list according to a preset energy-saving priority evaluation strategy based on task information of all ultrasonic detection tasks in a preset detection period of the ultrasonic detection system; wherein the task information comprises detection task complexity and detection task time planning information. The energy-saving operation modes of the ultrasonic master control device and the movable ultrasonic detection terminal are dynamically adjusted based on the task priority, the energy consumption information and the equipment operation state, and energy consumption can be effectively reduced in different operation environments.

This invention relates to the field of image defect detection technology, specifically a deep learning-based method for detecting defects in watch strap images. The method includes: monitoring the surface image state of the watch strap, analyzing texture change trends, and generating real-time image state data; predicting material texture trends based on the data, adjusting the convolutional feature extraction depth and strengthening high-contrast regions to generate a dynamic feature extraction strategy; analyzing the differences in feature representation between convolutional layers of the model, optimizing feature propagation paths, and adjusting layer weights; and dynamically allocating feature routes based on the extraction strategy and weight adjustment results to optimize defect judgment. This invention effectively suppresses high-noise background interference, solves the problem of missing small defects under complex textures, significantly enhances the stability and recognition accuracy of the detection system while improving the efficiency of computational resource utilization, and ensures the efficient completion of quality inspection tasks.

The present invention discloses a run-flat forming drum, which includes a center cover plate, a capsule inner chuck and a capsule. The run-flat forming drum also includes a first ring body and a second ring body. The first ring body is sleeved on the capsule and seals and connects the capsule to the capsule inner chuck; the second ring body can be disassembled and assembled on the first ring body, and is composed of a plurality of split parts spliced ​​along the circumferential direction. Compared with the traditional technology, the components of the run-flat forming drum of the present invention adopt a split structure. When producing run-flat tires of different models, the overall disassembly and installation of the run-flat forming drum is avoided, the time of disassembly and installation operation is shortened, the manpower consumption is reduced, and the production efficiency of the run-flat tire is greatly improved; and the split ring is used to replace the original support ring, which reduces the production cost of the forming drum and improves the economy.

The invention relates to the technical field of online conferences, in particular to an online conference-based interactive information acquisition method, which comprises the following steps of: monitoring network state parameters of online conference users, and evaluating network state health of the online conference users based on the network state parameters of the online conference users; obtaining an online conference user network state health assessment result, setting a health judgment threshold value, and judging healthy users and non-healthy users based on the health judgment threshold value in combination with the health assessment result; the network state health of the users in the online conference room is evaluated, healthy users and non-healthy users are judged for the online conference users, the cloud database is further constructed to serve as interaction data transfer, the method adapts to the network state of the online conference users, and the user experience is improved. Data of different formats is used for providing online conference user data acquisition services, and it is ensured that online conference users are not affected by an online conference network as much as possible in the conference development process.