11results about How to "Reduce management risk" patented technology

The invention discloses a big data read-write adaptive method based on a decision algorithm and a big data read-write system, and belongs to the technical field of intelligent decision of a data center, high-speed read-write operation of data is processed in real time in a service system, and a data read-write strategy and resource allocation are dynamically adjusted by analyzing a data access mode and a system load condition; data are preloaded through an intelligent prefetching strategy, and the storage and access paths of hotspot data are optimized, so that the waiting time of a user and the consumption of system resources are reduced. According to the method, data management can be simplified, data access efficiency can be improved, data consistency and security can be enhanced, the problem of multi-database management and query complexity faced by enterprises can be effectively solved, and more efficient and more consistent data access and management experience can be provided for the enterprises.

The invention relates to the field of group quality management, in particular to a group quality management system and method based on a dynamic data source. Comprising a data source management module, a quality data acquisition module, a quality data storage and management module, a quality data analysis and statistics module, a quality control and decision support module, a user management and authority control module and a system setting and management module which are connected through data interfaces, the data flow, the use frequency and the updating condition are monitored, and an early warning mechanism for data source connection abnormity, data access timeout and data conflict is arranged. According to the method, data integration and sharing can be improved, the accuracy of data quality is improved, user experience is improved, and safety is enhanced. According to the method, quality abnormity and fluctuation can be quickly and accurately found, targeted control measures are taken in time, quality problems are restrained in the bud state, and defective products and waste products are effectively reduced.

The invention discloses a method for realizing tobacco field yield prediction based on multi-source data analysis, and particularly relates to the technical field of tobacco yield prediction. Firstly, a tobacco planting area is divided into monitoring areas, multi-source data such as weather, soil, remote sensing images and actual yield are obtained in real time, the collected data are preprocessed, space-time consistency characteristics and information integrity characteristics are extracted, a comprehensive matching degree index is generated through calculation and weighting, on the basis, a yield prediction model is established, and a tobacco yield prediction result is obtained. The prediction value and the actual yield are compared and analyzed, if the deviation is large, model parameters are dynamically adjusted through fuzzy logic based on the comprehensive matching degree index and the actual yield data, and a data processing and fusion algorithm is optimized, so that the prediction precision is remarkably improved, and the field management risk caused by data isomerism is reduced.

The invention provides an important node identification method and device for a multilayer supply chain network, equipment and a medium, and relates to the technical field of supply chain management. The method comprises the following steps: constructing a directed weighted multilayer complex network, combining a centrality index, identifying nodes of an intermediate layer network, and obtaining a candidate node set M; according to the M, descending sorting is carried out according to the occurrence frequency of the nodes, in combination with a preset proportion, a head segment and a tail segment of nodes of a descending sorting list are intercepted to serve as a first batch of important node sets and an unconsidered node set, and a to-be-determined node candidate set ranking the middle part is obtained; traversing and calculating the influence on the network efficiency after any node is deleted in the to-be-determined node candidate set, and selecting a node combination with the influence ranking conforming to a threshold value to be added into a second batch of important node sets; and searching important nodes of the upper and lower networks to form a third batch of important node set, thereby completing important node identification. According to the method, the characteristics of the multilayer network can be captured, important nodes can be identified, and the accuracy is high.

The invention discloses a progress evaluation method and system based on work order tasks, and the method comprises the steps: obtaining each work order task of a complete work order, and obtaining the state of the work order task; evaluating the current progress of the work order task, and predicting other task schedules which are not executed; and synthesizing the current task progress obtained by evaluation and the other task schedules to generate prediction of completion of the work order. The accuracy and reliability of work order management are effectively improved, a user is helped to quickly judge the credibility of a prediction result in a complex task environment, the decision process is optimized, the management risk caused by prediction errors is reduced, and the work order execution efficiency is improved.

The invention discloses an interface authentication method and system based on heartbeat connection, the method is applied to a system comprising an interface calling server and an interface providing server, and the method comprises the following steps: setting the interface calling server and the interface calling server to carry out key exchange and storage; setting an interface calling server and an interface providing server to generate a mixed encryption key according to an agreed algorithm; setting a heartbeat mechanism to transmit a heartbeat packet so as to confirm the states of the interface calling server and the interface providing server; the interface providing server receives the encrypted request data and carries out interface request decryption and processing; the interface providing server encrypts the response data by using the mixed encryption key, and sends the encrypted response data to the interface calling server; the interface calling server receives the encrypted response data; decrypting the response data by using the hybrid encryption key, and processing a decrypted response result; and executing the interface service logic, and responding to a result.

The invention relates to the technical field of coal yard metering, in particular to a coal yard fuel metering method and system, and the method comprises the steps: synchronously collecting coal pile three-dimensional point cloud data, fuel conveying accumulated flow data and environment data; constructing a coal pile three-dimensional model by using the point cloud data and calculating the volume, and calculating the real-time density of the coal pile through a density correction model in combination with the environmental data so as to obtain first inventory quality; obtaining second inventory quality through an in-out-storage balance model based on the accumulated flow data; and finally performing fusion processing on the first inventory quality and the second inventory quality by using a data fusion algorithm, and outputting a real-time accurate inventory. The corresponding system is used for executing the method. According to the method, three-dimensional vision measurement and dynamic flow measurement are fused, intelligent density correction is introduced, the problems that a traditional method is large in error and poor in timeliness are solved, and high-precision and real-time dynamic measurement and intelligent management of coal yard fuel inventory are achieved.

The invention discloses a franchise chain store service management system, which comprises a data collection module, a data preprocessing module, an intelligent allocation module, a deep data analysis module and an anomaly detection module, the data preprocessing module is in data connection with the intelligent deployment module, the depth data analysis module and the anomaly detection module; according to the invention, the intelligent allocation module determines a feasible replenishment scheme based on shop and warehouse information by predicting inventory demands, so as to improve the timeliness of replenishment; according to the invention, the deep data analysis module analyzes the market trend and the competition relationship, thereby helping the franchise to better understand the market demand and the competition situation, and improving the scientificity and accuracy of decision making; according to the invention, the anomaly detection module judges whether the store is abnormal by calculating the anomaly scores of the plurality of key indexes, so that problems in store operation can be found in time, the management risk is reduced, and a scientific solution is provided.

The invention discloses a vehicle static electricity eliminating device in the technical field of vehicle static electricity elimination, which comprises a supporting seat, a static electricity eliminating shaft is slidably arranged on the supporting seat, a conductive head is arranged at one end, far away from the supporting seat, of the static electricity eliminating shaft, a spring sleeves the static electricity eliminating shaft, and two ends of the spring respectively abut against the conductive head and the supporting seat. A pressure sensor is arranged between the spring and the supporting seat; a first conductive block is arranged at one end, far away from the conductive head, of the static eliminating shaft; a second conductive block is arranged at a position, corresponding to the first conductive block, of the supporting seat; a driving part is arranged on one side, away from the conductive head, of the supporting seat; the driving end of the driving part is connected with the supporting seat; the first conductive block is electrically connected with an electrostatic transmission wire, and the electrostatic transmission wire is connected with an electric conduction induction piece and a grounding wire, so that the automation degree of vehicle electrostatic elimination operation and the use convenience are improved, the management risk that the electrostatic elimination process cannot be monitored in real time is reduced, electrostatic accumulation is effectively avoided, and the vehicle safety is improved. And safety and stability of the loading and unloading operation environment are ensured.

This application relates to the field of equipment management technology, and in particular to a method and apparatus for monitoring equipment in a laboratory. The method includes: acquiring images of the actual laboratory scene; determining equipment information for at least one piece of testing equipment based on the images; displaying the equipment information for each piece of testing equipment while simultaneously determining whether each piece of testing equipment meets preset abnormality conditions based on the equipment information; wherein, if the preset abnormality conditions are met, an equipment abnormality alarm is triggered for the user. This solves the problem that related technologies can only detect equipment abnormalities through manual inventory and lack real-time alarm functionality, thus making it difficult to detect equipment abnormalities technically.

The invention relates to the field of tool borrowing and returning management, in particular to an intelligent tool borrowing and returning management method and system based on the RFID technology, and the method comprises the steps: obtaining the tool type and user information of a tag when the tag borrowing request information of the RFID is received; judging whether the user meets a lending condition or not according to the tool type and the user information; when the user meets the lending condition, the lending time is marked; when label return information is received, current state information and historical state information of the tool are obtained, and whether a return condition is met or not is judged according to the current state information and the historical state information; when a return condition is met, obtaining lending time and return time, and determining the return of the tool according to the return time, the lending time and the tool type; based on a tool returning result, analyzing whether the tool meets a continuous use condition or not; and when the tool meets the condition of continuous use, updating the tag state and the state information of the tool. And continuous use of tools meeting the safety standard is ensured.