13results about How to "Promote collaboration" patented technology

The utility model relates to the technical field of drainage systems, in particular to a drainage system for a coal processing plant. Comprising a wastewater treatment unit, and further comprises a final treatment water outlet pool, a sampling detection unit, a diversion execution mechanism and a controller, the sampling detection unit comprises a sampling module and a water quality detection unit, and the final treatment pool is communicated with the wastewater treatment unit and used for storing treated coal processing wastewater; the sampling module is used for collecting a coal processing wastewater sample from a final treatment water outlet pool, the water quality detection unit is used for detecting water quality parameters in the coal processing wastewater sample, the shunting execution mechanism comprises a drainage electromagnetic valve and a reflux pump, a channel where the drainage electromagnetic valve is located is communicated with a drainage port, and a channel where the reflux pump is located is communicated with the wastewater treatment unit. The output end of the water quality detection unit is electrically connected with the input end of the controller, and the output end of the controller is electrically connected with the input ends of the drainage electromagnetic valve and the reflux pump.

The application discloses a data cleaning abnormal value processing method based on multi-model divergence detection, and comprises the following steps: S1, data division and configuration initialization; S2, training of under-fitting model; S3, prediction and consistency aggregation; S4, artificial review and closed loop; and S5, auditing and reproducibility. The application can realize the data cleaning problem with high precision, high robustness and full-process auditing without relying on heavy artificial review.

This utility model relates to the field of engine manufacturing technology, and in particular to a bushing pressing device, including a frame and a workpiece positioning fixture. The frame is vertically fixed from top to bottom with a pressing mechanism, a bushing conveying mechanism, and a transfer mechanism. The workpiece positioning fixture is located directly below the pressing mechanism and is fixedly connected to the frame, used to vertically fix the main bearing cap so that the pre-drilled hole at the top of the main bearing cap faces upwards. When the first pressing end moves downwards, it cooperates with the bushing conveying mechanism to transfer the bushings one by one to the transfer mechanism. The transfer mechanism transfers the input bushings and coaxially fits them vertically to the end of the second pressing end. When the second pressing end moves downwards, it vertically presses the bushing at its end into the pre-drilled hole of the main bearing cap. Through the coordinated operation of multiple mechanisms, the bushing is coaxially fitted onto the end of the second pressing end of the pressing mechanism, and during the downward movement of the second pressing end, the bushing is vertically pressed into the pre-drilled hole of the main bearing cap.

This invention discloses an adaptive sliding mode control method for tower cranes based on an improved fruit fly optimization algorithm, comprising the following steps: Step 1): Designing an extended state observer to observe the load swing angle state; Step 2): Designing an adaptive sliding mode controller, feeding back the observed swing angle state to the adaptive sliding mode controller, which will enable the trolley to be precisely positioned while suppressing load swing angle oscillation; Step 3): Optimizing the parameters of the adaptive sliding mode controller through an improved fruit fly optimization algorithm, thereby improving the controller's control effect. This invention uses a combination of a linear extended observer and an adaptive sliding mode controller, which has the advantages of easy swing angle observation, simple physical implementation of the controller, and good control effect; in terms of parameter tuning, an improved fruit fly algorithm is used to strengthen the cooperation among fruit flies, avoid getting trapped in local optima, and improve the controller's control effect.

The invention discloses a processing method for industrial internet identification analysis data, and the method specifically comprises the following steps: 1, carrying out the data processing near a device or a sensor, reducing the delay and bandwidth consumption, analyzing the data in real time, generating feedback, achieving the real-time decision through edge calculation, reducing the dependence on a cloud end, and improving the response speed; 2, dynamically adjusting a data stream processing strategy according to a real-time analysis result, preferentially processing important data, reducing unnecessary data processing burden, processing the data by adopting an event-driven mode, and triggering corresponding processing logic based on a specific event; the data transmission delay is reduced, the response time is shortened, the real-time processing capability is improved, unnecessary calculation is reduced, and the resource utilization rate is improved; the data security is enhanced by adopting a block chain technology, and the non-tampering and traceability of the data are ensured; the decision quality is improved through self-adaptive data stream processing, and the strategy is dynamically adjusted through real-time data.

The invention discloses a decentralized vehicle-mounted terminal dispatching system, which is a movable command platform taking a vehicle as a main carrier, is used as decentralized extension of an emergency site, automatically switches two roles of a common terminal and an emergency command center through intelligent judgment, and achieves the dispatching of a vehicle-mounted terminal through an ad-hoc network. Peripheral cameras and other monitoring devices are aggregated to the vehicle-mounted terminal, and then mutual communication cooperation is completed through point-to-point and point-to-multipoint of the vehicle-mounted terminal. Interaction of various information media such as voice, videos, images, data and text messages is integrated, and the construction requirements of a command center for equipment integration, command flattening and operation intellectualization can be met.

The invention discloses an AI video content integrated generation method and system based on script structuring, and relates to the technical field of artificial intelligence video generation. The method comprises the following steps: receiving an unstructured natural language story text, and disassembling the unstructured natural language story text into structured JSON data including a mirror number, a picture description, a role list and a scene list; packaging the AI generation request into an asynchronous task and distributing the asynchronous task; and executing a generation operation based on the structured JSON data and role vision setting, and returning a result. The system comprises a user interaction module, a business logic processing module, a task scheduling module and an intelligent generation service module which are connected through a protocol to form a data closed loop. The technical problems of data link splitting, poor content consistency and high modification cost of the existing video generation technology are solved, the full-link integrated creation from the script to the video is realized, the generation efficiency and the content quality are improved, and the modification and cooperation cost is reduced.

The application provides a kind of based on deep learning's radiation pneumonia prediction method and system.The method comprises the following steps: S1, obtains DICOM image, radiotherapy data, clinical data and immunotherapy time series data, and carries out pre-processing;S2, constructs multi-channel three-dimensional structure tensor based on DICOM image;S3, obtains multi-channel input tensor X according to planned CT volume, dose volume and three-dimensional structure tensor;obtain time series characteristic vector and clinical phenotype characteristic vector according to radiotherapy data and clinical data;S4, construct fusion prediction model, and process three-dimensional structure tensor, time series characteristic vector and clinical phenotype characteristic vector, obtain the risk probability of radiation pneumonia;S5, based on the dynamic update of input and re-prediction of updated patient data.The application realizes the deep fusion and dynamic update of multi-modal information, can provide high-precision, risk prediction with spatially interpretable, and provides decision support for clinical intervention.

The application relates to a server and a method for processing three-dimensional graphic files in a publishing format, the server is configured to: analyze the vector angle relationship between the center point coordinates of all geometries corresponding to each three-dimensional model and the center point coordinates of the corresponding three-dimensional model; compare the vector angle relationship in at least two three-dimensional models to preliminarily determine whether the spatial layouts of the at least two three-dimensional models are the same; in the case that the layouts of the two three-dimensional models are the same, a plurality of geometries contained in the two three-dimensional models are one-to-one matched according to a preset matching rule to obtain a plurality of pairs of matched geometries; and the geometries to be compared are sequentially determined whether they are consistent with each other according to a comparison sequence. The application greatly improves the efficiency and accuracy of three-dimensional model matching and searching.

The application discloses a mobile parallel robot with high-load pointing positioning function and a control method, and the robot comprises a three-wheeled vehicle body, three universal wheels and a vehicle leveling device are installed on the outer wall of the vehicle body, a space posture adjusting device is installed on the upper surface of the vehicle body, a force sensor top plate is installed on the top of the space posture adjusting device, and a force sensor and a moving platform are installed on the upper surface of the force sensor top plate. The control method comprises the following steps: establishing an institution and a universal wheel inverse solution; solving a second derivative to obtain acceleration information; obtaining human-machine interaction force signals from the force sensor and carrying out denoising processing; extracting state characteristics and initializing adaptive parameters; combining layered adaptive admittance control of state characteristics; designing a gradient optimization evaluation function; and controlling and driving motors. The method effectively overcomes fluctuations and disturbances under high-load working conditions, and realizes high-precision pointing positioning and smooth motion control of the robot.

Methods and systems for generating one or more health care alerts for one or more patients are disclosed. Real-time or near-real-time measurement data is received from one or more sensors located in a living environment of an elderly patient and used to generate a status report for the patient. At least one rule related to the patient is identified from the individual rule engine using the measurement data, wherein the identified rule is applied to generate an alert indicator for the patient. Measurement data from the patient and other measurement data from the patient population are used to identify at least one rule relating to the patient from the population rule engine and generate a health assessment for the patient. A user interface is generated on the care provider device that includes at least one of measurement data, status reports, alarm indicators, and health evaluations of the patient.

The component configuration method and the related device provided by the present disclosure are applied to a component library. The component library stores a preset default configuration file, a framework basic configuration file corresponding to each development framework, and a framework compatible configuration file. By uniformly maintaining the framework basic configuration file corresponding to each development framework in the component library, the preset default configuration file and the framework compatible configuration file of the component under each development framework are combined to package and configure the component, the compatibility problem of the component packaging and configuration under different development frameworks is solved, the learning cost of the component library is reduced, and thus the collaboration between different technical teams is facilitated, and the product development efficiency is improved.

The invention relates to the technical field of network decision making, in particular to a collaborative decision making method and system in a crowd sensing network based on artificial intelligence, and the method comprises the steps: obtaining the task characteristic information of each sensing terminal in the crowd sensing network, and obtaining the resource environment information of the crowd sensing network; constructing a task-resource matching evaluation model based on the task characteristic information and the resource environment information; based on the task-resource matching evaluation model, initial matching value evaluation values of all tasks in the current to-be-allocated task set for different sensing terminals are determined, and a target task allocation strategy is determined according to the current strategy value matrix and the strategy values corresponding to the multiple task allocation strategies respectively. According to the method, the matching degree between the task and the sensing terminal can be accurately evaluated by constructing the task-resource matching evaluation model, so that the task allocation is optimized, the resource waste can be reduced, and the task completion efficiency and success rate can be improved.