18results about How to "Accurate data basis" patented technology

The invention is suitable for the technical field of resource management, and provides a resource management system based on an artificial intelligence platform, which comprises a resource demand end, a resource scheduling center and a resource supply end, the resource demand end comprises a resource demand identification module used for identifying the resource type of the demand; the resource scheduling center comprises a resource demand receiving module, a resource supply feedback module, a resource state analysis module and a resource scheduling module; the resource demand receiving module is used for receiving demand information sent by the resource demand end; the resource supply feedback module is used for receiving supply information fed back by the demand supply end; the resource state analysis module is used for analyzing the state change of resource demand and supply; the resource scheduling module is used for performing resource scheduling according to the analyzed resource state change; the resource supply end comprises a resource checking module which is used for counting available resource information. According to the invention, dynamic resource scheduling can be carried out based on state change, and the resource utilization rate is effectively improved.

The invention provides a personnel and equipment safety detection system and method based on an infrared thermal imaging technology. The system comprises an infrared imaging sensor, an environment monitoring and predicting assembly and a data processor, and the infrared imaging sensor and the environment monitoring and predicting assembly are connected with the data processor. The infrared imaging sensor is used for monitoring the environment temperature of the monitoring area; the environment monitoring and predicting assembly is used for collecting environment data of the monitoring area, the environment data at least comprises environment temperature, predicting environment change of the monitoring area according to the environment data to obtain environment prediction information of the monitoring area, and determining target system parameters of the infrared imaging sensor according to the environment prediction information; and the data processor is used for adjusting the infrared imaging sensor according to the target system parameters of the infrared imaging sensor. The system parameters of the infrared imaging sensor can be adjusted based on the actual environment condition, and the quality and the temperature detection precision are improved.

The invention provides a production management system based on a low-code platform, and relates to the technical field of data processing, and the system comprises a data collection module which is used for collecting production resource state data, order task data and process parameter data; the task decomposition module is used for decomposing the production task to generate task unit data; the configuration generation module is used for generating initial task configuration data according to the task unit data; the task scheduling module is used for receiving the initial task configuration data and generating a task scheduling scheme; the execution control module is used for distributing a production instruction to production equipment according to the task scheduling scheme and controlling the execution process of the production task; the dynamic updating module is used for dynamically adjusting task configuration and feeding back to the task scheduling module when a production task adjusting request is received in the production task execution process; the resource allocation scheme of the production management system can be automatically updated based on the data feedback of the production resources.

The invention relates to the technical field of lamp post illumination traffic management, and particularly discloses a 5G-A technology intelligent lamp post system applied to traffic management, which is provided with a data quality judgment module, a road condition information extraction module, a road condition congestion evaluation module and a traffic management control module. Firstly, data quality monitoring is carried out on data transmission equipment to which the intelligent lamp pole belongs, so that the quality condition of data transmission corresponding to the intelligent lamp pole combined with 5G-A is obtained, and a traffic management cloud service center judges whether to carry out data preprocessing so as to accurately extract and analyze road condition information of a management and control area to which the intelligent lamp pole belongs; according to the method, the intelligent lamp post is used as a control area, the road condition congestion index of the control area to which the intelligent lamp post belongs is accurately evaluated, the intelligent illumination adjusting function and the intelligent reminding function of the intelligent lamp post are utilized under the trend of traffic congestion, energy-saving and emission-reducing traffic management is realized, and meanwhile, the traffic efficiency of a road is improved.

The invention relates to the technical field of wind power, particularly provides a wind power plant design method and system, a control device and a storage medium, and aims to solve the technical problem of unreasonable wind power plant design caused by incapability of comprehensively balancing generating capacity and cable cost in the prior art. In order to achieve the purpose, the wind power plant design method comprises the steps that based on a preset first rule, a first initial position of a wind turbine generator and a second initial position of a booster station are obtained; based on the environment parameters, the fuselage parameters and the first initial position, obtaining the total generation power of the wind power plant by using a preset first model; based on the cost parameter, the first initial position and the second initial position, using a preset second model to obtain the total cost of the cable; and obtaining a target topological structure of the power device by using a preset third model based on the total generation power and the total cost. The power generation power and the cable cost can be comprehensively balanced, so that the final layout of the wind power plant is more reasonable.

This invention relates to the field of oilfield single-well two-phase automatic metering device, specifically applicable to the field of oil production metering in low-yield oilfield blocks. The device comprises a metering inlet pipe, a metering outlet pipe, a right piston metering chamber, and a left piston metering chamber. A right piston is movable and sealed within the right piston metering chamber. The right piston metering chamber is connected to the metering inlet pipe via a right piston inlet electric valve and to the metering outlet pipe via a right piston outlet electric valve. A right piston connecting rod is connected to the right piston. This invention features a simple structure and ease of use. The piston moves continuously under the pressure of the oil well's produced fluid. A linkage device and a valve switching contact switch coordinate valve switching and piston movement, ultimately achieving continuous and accurate metering of single-well oil production. This improves the efficiency of crude oil production management in both high- and low-yield oilfield blocks.

The zero-gravity pressure head adjustable structure comprises an adjusting plate, a sliding mounting base is arranged on the adjusting plate, a sliding mounting block is arranged on the sliding mounting base, and a top plate is arranged at the upper end of the sliding mounting base. A first adjusting bolt and a second adjusting bolt which penetrate through the top plate are arranged on the top plate, the first extension spring and the second extension spring are arranged in parallel, and one end of the first extension spring and one end of the second extension spring are connected with the bottom of the first adjusting bolt and the bottom of the second adjusting bolt respectively. The other end of the first extension spring and the other end of the second extension spring are both connected with the sliding installation block, the pressure detection assembly is arranged between the sliding installation base and the sliding installation block, and by arranging the first extension spring and the second extension spring, the self gravity of the sliding installation block and components below is balanced through the tension of the first extension spring and the second extension spring; a zero-gravity state is realized, and the interference of the dead weight of a structural part on the actual pressure of a product is effectively eliminated.

The invention belongs to the technical field of video monitoring, and particularly relates to a video monitoring multi-angle cruise optimization method and system based on Redis. A cruise path is set and stored, a cruise service interacts with a database and Redis, the path is recorded, expiration time is set, relevant parameters are initialized, then cruise operation is executed according to the path, the cruise operation comprises rotation of a preset point, monitoring of residence time, switching of the preset point and the like, the expiration time is prolonged regularly, and the execution state is detected to guarantee stable operation. According to the method, repeated execution is prevented by using a distributed lock mechanism, expansibility is improved by means of efficient data caching and a distributed architecture, the defects in the prior art are effectively overcome, reliability, accuracy and expansibility of video monitoring multi-angle cruise are remarkably improved, and the method is suitable for popularization and application. The method can be widely applied to video monitoring requirements of various scenes such as urban security and protection, industrial production, transportation hubs and the like to promote efficient application and development of a video monitoring technology in a complex environment.

This invention belongs to the field of building construction and digital twin technology, and relates to an intelligent matching method and system based on artificial intelligence. This invention collects construction environment data in real time and identifies risk markers, calculates component deformation using a time-series prediction model, and corrects the virtual components generated by the BIM model for environmental compensation. It employs 3D point cloud registration technology for geometric matching analysis to determine hole alignment errors and interface gaps. Based on a dynamic decision tree model, it dynamically adjusts the installation sequence by comprehensively considering the degree of geometric mismatch, environmental risks, and construction logic. Furthermore, it incrementally updates the model based on actual installation deviations. This invention effectively solves the technical problem of component deformation and installation mismatch caused by environmental factors such as temperature and humidity during construction, achieving dynamic adaptation and precision control of the construction process, improving the matching success rate and construction efficiency of component assembly, and continuously optimizing the system's adaptability and reliability through continuous learning.

The invention relates to the technical field of semitrailers, in particular to a new energy driven particle powder material transportation semitrailer which comprises a data acquisition system, a data analysis system, a control system and a correction system. The data acquisition system acquires a parameter set and road condition information; the data analysis system judges a dominant abnormal state based on the pressure gradient and the electrification rate, and judges a recessive abnormal state based on the response amplitude; the control system adjusts torque distribution of a driving shaft or suspension damping based on the cooperation coefficient during dominant abnormity, and adjusts the suspension height and / or in-tank auxiliary vibration frequency based on the response damping ratio during implicit abnormity; and the correction system calculates the comprehensive change rate after the primary adjustment, and dynamically adjusts the preset comprehensive change rate in combination with the road condition information to judge whether the secondary adjustment is performed or not. According to the method, explicit and implicit abnormity accurate identification and secondary adjustment optimization in the particle powder material transportation process are achieved, and the transportation safety and the material fluidity are effectively improved.

The invention relates to the technical field of wind power, particularly provides a wind power plant annular layout design method and system, a control device and a storage medium, and aims to solve the technical problem that the generating capacity and the cable cost cannot be comprehensively balanced when a wind power plant is designed in an annular layout mode in the prior art. In order to achieve the purpose, the method comprises the steps that based on a preset annular arrangement rule and range parameters, a first initial position of a wind turbine generator in an annular arrangement structure and a second initial position of a booster station are obtained; based on the environmental parameters, the fuselage parameters and the first initial position, obtaining the total generation power of the wind power plant by using a preset first model; based on the cost parameter, the first initial position and the second initial position, obtaining the total cost of the cable by using a preset second model; and obtaining a target topological structure of the power device by using a preset third model based on the total generation power and the total cost. On the premise of annular layout, the power generation power and the cable cost are comprehensively balanced, so that the high power generation power is realized at low cost.

The application discloses a kind of grid unmanned aerial vehicle monitoring management systems and its deployment method.The system includes a plurality of grid monitoring nodes and a cloud supervision platform, each monitoring node integrates signal detection, decoding analysis, self-registration and heartbeat, environmental assessment, beacon analog transmission and geographic fence module, cloud platform integrates equipment management, data fusion, link self-check and visualization display module.Deployment method includes six steps of grid node deployment, automatic registration and configuration, initial environment self-evaluation, networking link self-test, real-time monitoring and alarm, data fusion and tracking.The application realizes seamless monitoring in a large range through grid microcell architecture, realizes intelligent deployment and operation and maintenance through self-registration and self-test mechanism, realizes system state transparency through environmental assessment and link self-check, effectively solves the problem that the detection distance of prior art is limited, deployment is rigid, and operation and maintenance are difficult, and is suitable for city low-altitude unmanned aerial vehicle supervision.

The invention provides a clothing online quality inspection method, system, medium and device based on visual inspection. The method comprises the following steps: acquiring a collected clothing image; the garment image is input into a trained neural network model, model output is extracted, a detection result is obtained, and the neural network model comprises flaw bounding box prediction and target loss function construction; action instructions capable of executing actions are generated on the basis of the detection results, different detection results correspond to different action instructions, and the detection results at least comprise qualified results, flaw types, flaw positions and flaw confidence coefficients; the corresponding action instructions are output on the basis of the detection result in combination with different actuators, and the action instructions comprise trimming triggering, blowing triggering and sorting triggering. According to the invention, full-automatic closed-loop detection is realized, ultrahigh-efficiency, high-precision and consistent work is realized, seamless integration into a production line is realized, manual intervention is greatly reduced, and the production efficiency and the quality stability are remarkably improved.

The application provides a river water body water quality on-line monitoring system, which comprises a water body treatment unit, a monitoring unit for monitoring water quality and a remote monitoring center; the monitoring unit comprises a water body monitoring module, a first water quality monitoring module, a second water quality monitoring module and a control module; the water body treatment unit comprises a pre-settling module and a water flow control module; the water flow control module comprises a first chamber and a second chamber, the first chamber and the second chamber are communicated with an output port of the pre-settling module through input flexible pipelines, the first chamber and the second chamber are respectively arranged on two lifting mechanisms with the same structure, the control module controls the action of the lifting mechanisms, two electromagnetic valves are respectively arranged on the input flexible pipelines of the first chamber and the second chamber, the first water quality monitoring module is arranged on the first chamber, and the second water quality monitoring module is arranged on the second chamber; a control input end of the electromagnetic valve is connected to the control module, output ends of the water body monitoring module and the water quality monitoring module are connected to the control module, and the control module is in communication connection with the remote monitoring center through a wireless transmission module.

The invention belongs to the technical field of emission quantitative characterization methods, particularly relates to an industrial source atmospheric pollutant monthly scale emission quantitative characterization method, belongs to the technical field of emission quantitative characterization methods, and discloses an industrial source atmospheric pollutant monthly scale emission quantitative characterization method. The method aims at solving the problems that an existing industrial source emission quantification method is low in time resolution, provincial monthly data adaptability is poor, dynamic changes of emission coefficients are not effectively coupled and the like, and the requirement for monthly-scale emission data of atmospheric pollution refined control is met.

The application discloses an engineering full-cycle business cooperation method, system, device and storage medium. The engineering full-cycle business cooperation method comprises the following steps: constructing a protocol adaptive gateway, constructing a data cleaning model, in the case that a target file transmission command is received and a target file data volume is obtained, transmitting the target file to the data cleaning model through the protocol adaptive gateway based on the target file data volume, cleaning data of the target file through the data cleaning model to obtain a cleaned file, generating a cooperation task through a rule engine method based on the cleaned file, and sending an execution instruction to a corresponding user based on the cooperation task, so that the corresponding user executes the execution instruction after passing through permission verification and confirmation, and the accuracy and efficiency of the engineering full-cycle business cooperation are improved.

The invention discloses a low-oxygen treatment method for a mine return air corner. The treatment method is based on a return air corner low-oxygen treatment system. Comprising an underground drainage module, a spraying partition module and a monitoring warning module. The underground drainage module is used for extracting hypoxia gas in a goaf, the underground drainage module comprises a functional fan, a drainage pipeline and a three-dimensional connector, and the hypoxia gas can be eliminated from the source through the underground drainage module; the spraying partition module forms a partition layer by spraying a partition material so as to prevent diffusion and air leakage of the low-oxygen gas; the monitoring and warning module is used for monitoring gas information in real time and feeding back the gas information, and can judge the hypoxia treatment effect in the goaf near the upper corner of the working face and achieve information interaction and linkage control with other modules. The problem of corner hypoxia caused by goaf gas overflow due to air leakage can be solved, the problem of goaf hypoxia gas enrichment in the corner is solved, hypoxia gas is eliminated from the source, real-time monitoring and feedback can be achieved, and the disposal scheme is safer and more reliable.

The invention discloses a cross-border trade question-answering method, system and device and a storage medium, and the cross-border trade question-answering method comprises the steps: determining a first feature based on text data; determining a second feature based on the image data; determining a third feature based on the voice data; determining a fourth feature based on the video data; based on the first feature, the second feature, the third feature and the fourth feature, performing feature fusion through a graph attention mechanism model to obtain a fused intention feature; inputting the fused intention features into a trained multi-label ViT-CNN hybrid model to obtain an intention classification result output by the trained multi-label ViT-CNN hybrid model; and on the basis of the intention classification result and the preset resource database, reply data of the target question is determined through a near-end strategy optimization algorithm, and the reply data is sent to the user, so that the question efficiency and accuracy of cross-border trade are improved.