7results about How to "Improve refined management" patented technology

The invention discloses a service processing method and device, and relates to the technical field of distributed data processing. A specific embodiment of the method comprises the following steps: executing a locking operation on account information of any service subsystem by using a service middle layer, and pushing service data corresponding to the locked account information to a service processing center for a service processing request of the service subsystem to execute service processing, according to the embodiment of the invention, the serialization of service processing is realized through the interaction between the service intermediate layer and other components, the fine management of data processing consistency and fault tolerance is improved, and the overall service processing performance is improved by reducing the direct access pressure of a data source.

The present invention discloses a smart city safety monitoring system based on digital twins, which relates to the field of digital twin technology, and includes a monitoring center, wherein the monitoring center is connected to a data acquisition module, an intelligent processing module, a twin analysis module and an intelligent management and control module; the city safety data and safety range data are collected through the data acquisition module; the safety range data is encoded and transformed in the intelligent processing module to obtain a feature coding group; a smart twin space is constructed in the twin analysis module to encode and convert the city safety data and mark dangers to obtain safety contact points and abnormal response points; an early warning response route is obtained according to the abnormal response points in the intelligent management and control module, and the early warning response route is abnormally marked and weighted to obtain a normal early warning route and an excessive early warning route; the safety management level of the smart city is improved, which is conducive to formulating targeted prevention and control suggestions and response measures to ensure the safety of people's lives and property.

The invention relates to the technical field of intelligent monitoring equipment, in particular to building energy consumption monitoring equipment with a protection function, which comprises a box body and an energy consumption monitor main body, the box body is vertically distributed and can be moved to a preset position to complete position fixation; heat dissipation holes are further formed in the rear side of the inner cavity of the box body, a temperature detection sensor is further arranged on one side in the box body, and a fan is arranged at the ventilation opening; the inner cavity of the box body is also provided with a protection structure; the protection structure comprises a fire detection probe, a mounting seat and a fire extinguishing bottle; the energy consumption monitor main body is connected with a cloud terminal; wherein the energy consumption monitor main body comprises an information acquisition module, an information regulation module, an information management module, an information regulation and control module, a data transmission module, a data storage module and an energy control protection module. The system is reasonable in structural design, the safety protection is upgraded, the building energy consumption can be dynamically monitored, analyzed, regulated and controlled, the refined management and control of the building energy consumption are realized, and new value experience is brought to users.

The application discloses a Chinese sturgeon breeding behavior prediction method, which comprises the following steps: step 1, obtaining and uniformly formatting Chinese sturgeon breeding field monitoring data; step 2, calculating Chinese sturgeon breeding behavior evaluation indexes; step 3, constructing a Chinese sturgeon breeding behavior evaluation model coupled with multiple factors; step 4, identifying key factors and threshold intervals affecting Chinese sturgeon breeding behavior; and step 5, predicting the evolution law of Chinese sturgeon breeding activities under the comprehensive action of multiple factors and putting forward breeding field operation scheduling and protection and restoration strategies. The application solves the problems of the existing Chinese sturgeon breeding monitoring and evaluation means, such as difficulty in unifying multiple source data, difficulty in quantitatively evaluating breeding behavior, difficulty in identifying key factor thresholds, and insufficient prediction and decision support.

The present application provides a kind of based on molecular management's radial flow fixed bed reactor device potential analysis method, the method comprises: obtaining molecular level reaction process model;Molecular level reaction process model includes molecular composition model, molecular reaction dynamics model, catalyst deactivation model and radial flow fixed bed reactor model;Using molecular level reaction process model, the reaction process of actual radial flow fixed bed reactor device is simulated, and product composition property and device energy consumption prediction result are obtained;Based on prediction result, the production potential of actual radial flow fixed bed reactor device is quantitatively analyzed, and quantitative analysis result is obtained, to based on quantitative analysis result and production target, the process parameters of actual radial flow fixed bed reactor device are adjusted and optimized.The present application can improve the raw material utilization rate and product value of production device, provide guidance for the production strategy of device upgrading and efficiency improvement, and be beneficial to improve the scientific and fine management of production.

The present application relates to the technical field of power load prediction, in particular to a power load prediction method, system and scheduling method. Based on the processing of regional historical power consumption data, user historical power consumption data and user historical power consumption sequence, the power load prediction method can realize the acquisition of cycle prediction, trend prediction and fluctuation prediction by constructing user cycle model, user trend model and user fluctuation model, and then complete the power load prediction of the to-be-predicted region. The power load prediction method does not need to consider parameters such as regional economic framework and regional environmental change, but returns to the essence that the user is the minimum power consumption unit and the daily power consumption behavior of each user is related to the work and rest rules, so it can be better applied to the power load prediction of smaller areas, and is conducive to improving the fine management of current power load prediction.

The application belongs to the field of airport management, and relates to a smart video inspection method and system based on a multi-modal large model, which comprises the following steps: 1, based on unstructured text in airport data, a structured knowledge graph is constructed, and a high-dimensional semantic vector is obtained based on nodes of the structured knowledge graph; 2, feature extraction is performed on various data including monitoring video to generate multi-modal joint feature representation; the multi-modal joint feature representation comprises space-time information and rule context; 3, based on the high-dimensional semantic vector and the multi-modal joint feature representation, it is judged whether an abnormal event occurs in the terminal building; 4, if an abnormal event occurs, a structured instruction is generated based on the abnormal event, and the terminal building is optimized in a closed loop based on the structured instruction; based on the existing video monitoring environment and data of the airport, an integrated intelligent system is provided for intelligent inspection of the terminal building, and automation, refinement and closed-loop management of the inspection are realized.