25results about How to "Improve operational capabilities" patented technology

The invention relates to a block chain-based power Internet of Things terminal security access method and system. The method comprises the following steps of S1, dividing a virtual local area network; s2, deploying an SDN controller to manage and control network traffic; s3, performing decentralized identity recognition by using a block chain, and executing an automatic identity authentication process by using a smart contract; s4, carrying out preliminary identity verification based on the certificate, and carrying out secondary authentication in combination with the biological characteristics and the position information of the Internet of Things equipment; s5, performing uplink according to the critical degree, generating a unique fingerprint of the data by using a hash function, and storing the unique fingerprint in a block chain to ensure data integrity and prevent tampering; and S6, applying a strong encryption algorithm in a transmission layer and a data storage process to ensure data security and realize a homomorphic encryption technology, so that data operation is performed in an encryption state, and privacy is protected. According to the invention, the efficiency and security of terminal access are improved, and comprehensive protection and flexible management of the network and data are realized through the block chain and SDN technology.

The invention provides a dynamic price adjustment method and device based on an online car-hailing supply-demand relationship, a medium and equipment, and the method comprises the steps: determining a current honeycomb region located in a target city, and obtaining historical order data and quasi-real-time order data in the current honeycomb region; based on the historical order data and the quasi-real-time order data, analyzing supply and demand related indexes of the current honeycomb area; the supply and demand related indexes comprise historical supply and demand related indexes and quasi-real-time supply and demand related indexes; calculating a historical price adjustment rate and a quasi-real-time adjustment rate based on the historical supply and demand related indexes and the quasi-real-time supply and demand related indexes respectively; calculating a final price adjustment multiplying power based on the calculated historical price adjustment multiplying power and the quasi-real-time adjustment multiplying power; and performing price adjustment on the online car-hailing order of the current honeycomb area by using the final price adjustment multiplying power. According to the invention, historical and real-time data are comprehensively considered, multiple indexes are integrated, the weight is set to judge the supply and demand relationship of the online car-hailing platform, the price adjustment rate is dynamically adjusted, and the operation effect of the online car-hailing platform is greatly improved.

The invention discloses a customer transaction service visual monitoring method, which comprises a transaction channel, a transaction log database and a front-end monitoring interface which are communicated by adopting a network, log data of customer service transactions are obtained through the transaction channel and are stored in the transaction log database; data needing to be monitored are integrated in a data integration layer of the transaction log database according to a data model, the data are calculated and processed, transaction data are transmitted to a front-end monitoring interface through an API interface, and the front-end monitoring interface presents the current customer transaction situation through a graph; the transaction log database is stored in the local server and / or the cloud server; and the rear end of the front-end monitoring interface is deployed on a local server, so that real-time monitoring of customer transactions can be realized, monitoring personnel can conveniently and quickly distinguish problem sources and make responses, support guarantee is provided for quick operation and maintenance, and the overall operation capability of services is improved.

This invention discloses an intelligent empowerment system for automotive after-sales service and its implementation method. The system includes a case collection module, a case review module, a knowledge sharing module, an intelligent recommendation module, a mutual assistance and communication module, a backend data analysis module, and a business empowerment module. Dealer repair personnel can submit standardized fault cases to the platform. After review, a case database is formed. The system calculates recommendation weights based on user profiles, case quality, and interaction data, achieving personalized distribution and precise matching of cases. Users can browse cases, seek help, and engage in interactive learning within the platform, forming a technical mutual assistance community. The backend data analysis module structurally extracts the collected cases and interaction information, generating standardized technical intelligence, and pushes it to business systems such as technical support, warranty management, spare parts planning, and training management, building a two-way empowerment mechanism between OEMs and dealers, and achieving closed-loop management from fault cases to business optimization.

This invention discloses a unified management method and system for provincial and municipal station dispatching, relating to the field of integrated operation and management technology. The method includes: receiving data from provincial and municipal station monitoring equipment, including timestamps, event codes, and associated parameters; analyzing the data to identify data fluctuations; and filtering potential fault signals by comparing historical patterns to obtain initial fault screening results. The unified management method for provincial and municipal station dispatching provided by this invention achieves early identification of fault signals and accurate classification of abnormal patterns by receiving and analyzing data from monitoring equipment. It improves the efficiency and accuracy of data analysis by comparing real-time and historical data, accelerates fault detection and enhances the handling capability of complex abnormal situations by identifying data changes in different time periods, sets alarm response times and processing priorities for different anomaly types to improve emergency response efficiency, optimizes network traffic management strategies and data transmission paths, reduces processing latency, improves network performance and stability, and effectively enhances operational efficiency and user experience.

The invention discloses a supply chain management method and device for cross-border e-commerce, and relates to the technical field of logistics management. According to historical transaction data, determining statistics of each feature and target commodity sales volume in each time period, and sorting the statistics from high to low to obtain a feature correlation sorting set; and obtaining a first preset number of features in the feature correlation sorting set to obtain a second feature set, performing effective feature screening on the second feature set through sequential forward selection, performing clustering, performing sales prediction to obtain predicted sales, and performing supply chain management according to the predicted sales of all retailers. Through deep analysis of different features and a sequential forward selection method, features most relevant to sales volume prediction can be screened out, unnecessary noise and errors are reduced so that a prediction result is more accurate, then resource allocation is performed according to the prediction result, the phenomena of stock overstock and stockout caused by uneven resource allocation are avoided, and the resource allocation efficiency is improved. And the efficiency and the operation effect of the supply chain are improved.

The invention discloses a corrugated paper production line virtual debugging and operation optimization system based on digital twinning. The system comprises a digital twinning building module, a multi-dimensional model building and training module, a dominant variable recognition module and a virtual debugging and optimization module. The digital twin construction module is used for acquiring physical entity data and operation condition data of a production line and constructing a digital twin consistent with the physical production line; and the multi-dimensional model construction and training module is used for synchronously constructing a multi-physical sensitive dimension model in the digital twin for key processes of a production line, and relates to the technical field of corrugated paper production. According to the corrugated paper production line virtual debugging and operation optimization system based on digital twinning, by constructing the digital twinning body and the virtual debugging module, the production process can be debugged and optimized in advance in a virtual environment, the debugging period of a traditional production line is remarkably shortened, and the debugging cost and risk in actual production are reduced.

The present invention discloses a method and device for displaying business icons, and relates to the field of computer technology. A specific implementation of the method includes: determining the order and number of various types of display positions in a business icon display area; determining business screening rules corresponding to the various types of display positions; based on the number of the various types of display positions and the screening rules, determining a target business from a list of businesses to be displayed, so as to display the icon of the target business in the business icon display area in the order. By setting various types of display positions and corresponding business screening rules, this implementation can flexibly set the businesses displayed in the display area, provide users with a business display order that better meets user needs, and enhance business value and operational capabilities.

The application discloses a kind of supply chain data quality automatic check and closed loop management method and system, it is related to supply chain digital technology field, including the following steps: the supply chain authority source list obtained is input into the preset check rule set, according to rule check result extraction problem field set;Problem field set is injected into DCAN responsibility mapping mechanism, and the ability matrix is output through the pre-constructed multi-modal responsibility intelligent agent, and the responsibility proportion weight of responsibility subject is calculated based on ability matrix;The responsibility proportion weight is input into responsibility allocation decision model, and the allocation responsibility of corresponding responsibility subject is output;According to allocation responsibility, dispatch problem rectification task to corresponding responsibility subject;If it is detected that rectification fails, then extract rectification failure field set, and according to the preset responsibility transmission path, rectification failure field set is transmitted to secondary responsibility subject, and the problem is solved until execution cycle is performed.This application is used to solve the problem that data responsibility attribution is not clear, rectification task is dispatched, and there is lack of tracking after rectification process is broken.

The invention provides an operation work order generation method for an unmanned retail terminal, and the method comprises the steps: employing an operation work order generation server, pre-storing a historical operation work order in the operation work order generation server, carrying out the work order analysis of the consumption data corresponding to each region and the environment data corresponding to each region through the operation work order generation server, and carrying out the calculation of the work order. Analyzing to obtain a matching value corresponding to the region; according to the matching value corresponding to the area, the unmanned retail terminal of the area analyzes a service demand index corresponding to the current matching value of the area; analyzing a current goods demand index of the area according to the service demand index corresponding to the area; and obtaining the historical data processing efficiency of each work order in a preset area of the unmanned retail terminal, and calculating the service demand time corresponding to the service area of each work order according to the historical data processing efficiency of each work order and the service demand quantity corresponding to the area corresponding to the service demand index corresponding to the service area of each work order.

The application discloses a pipeline inspection and cleaning device, which comprises a support body composed of a support and a support part pivotally connected to the outer side of the support, a driving assembly is arranged on the support, and the support part is driven to open or fold outward with the support as the center when the driving assembly works; a pipeline inspection part is connected to the front end of the support body, and the pipeline inspection part comprises an inspection base, a CCD inspection head and a high-pressure air jet head; a cleaning part is detachably connected to the pipeline inspection part through a limiting and damping assembly, and the cleaning part comprises a steel brush and a cutting piece connected to a clutch connecting shaft, and an adjusting assembly is arranged on the outer periphery of the clutch connecting shaft. The device is suitable for pipelines with different diameters, has the functions of rapid inspection and rapid cleaning, and can quickly complete the task of inspecting and cleaning pipelines. The device can greatly reduce the risk of pipeline blockage by periodically inspecting and dredging low-lying sections with high risks, thereby improving the operation capacity of the tramcar and avoiding damage to the tramcar.

This application discloses a port route planning method, system, device, and storage medium based on virtual lanes. First, based on a pre-built lane grid index, the starting and ending lanes of the target vehicle are quickly located. Second, based on the obstacle and structural information of the current lane, a set of key lane-changing points formed by obstacles and / or process constraints is extracted. Then, the actual lanes and the virtual lanes generated based on the key lane-changing points are used together as graph nodes, and a weighted topology graph is constructed with travel cost as the edge weight. Next, the optimal path from the starting lane to the ending lane, passing through all key virtual lane nodes in sequence, is obtained based on the shortest path algorithm. Finally, the optimal path is converted into an executable path point sequence containing the key lane-changing points. This method can efficiently adapt to the dynamic operating environment and process constraints of ports, improving the flexibility and efficiency of route planning.

The invention relates to the technical field of hot-rolled steel structure product manufacturing, in particular to a hot-rolled steel structure product manufacturing informatization system platform. Comprising a product management module, an order management module, a production management module, an inventory management module, a quality control module, a data analysis module and an artificial intelligence module. Through cooperative operation and data sharing of the modules, comprehensive management and optimization of business links such as products, orders, production, inventory, quality, data analysis and artificial intelligence are realized. The operation efficiency, the product quality, the customer satisfaction and the economic benefit of an enterprise are improved, and powerful support and guarantee are provided for digital transformation and intelligent development of the enterprise.

Methods, systems, and media for determining lifecycle data for onboard electronic devices are disclosed. The method comprises the following steps: acquiring an onboard configuration list of an aircraft, wherein the onboard configuration list comprises the configurations of all current onboard electronic equipment on the aircraft; a ground configuration list and running time information are obtained from a ground database before the current leg starts, the list comprises the recorded configurations of the electronic devices contained in the aircraft, and the running time information comprises the recorded running time of each electronic device; comparing the configuration of each airborne electronic device with a ground configuration list to determine initial running time, wherein the initial running time represents the running time of the corresponding airborne electronic device before the current leg; determining the leg running time of each airborne electronic device, wherein the leg running time represents the running time of the corresponding airborne electronic device in the current leg; and determining lifecycle data based on the initial runtime and the leg runtime, including a configuration and a cumulative runtime of the respective airborne electronic device.

The invention discloses a statistical storage method and system based on saas area orders and a transport capacity supply and demand board. The invention relates to the technical field of saas internet designated driving platforms. The order monitoring module monitors a data stream at an order side and captures a passenger event in real time; a transport capacity monitoring module starts to monitor data streams of an asset side and a position side, and driver events are captured in real time; setting data types, formats and conditions required to be captured by the order monitoring module according to business requirements; by monitoring a data source in real time and capturing a dynamic event and combining an efficient data preprocessing and caching strategy, real-time updating and high accuracy of data are ensured. Therefore, instant and reliable supply and demand information is provided for the user, and a more intelligent decision can be made. Through thermodynamic calculation and dynamic data statistics, supply and demand conditions of different areas and different time periods are accurately revealed. Therefore, the platform can deploy the transport capacity more accurately, and the real-time requirements of passengers are met.

The application relates to the technical field of cloud-edge collaborative computing, in particular to a charging facility resource allocation method and system based on cloud-edge collaboration; the method comprises the following steps: time alignment and fusion of multi-source operation data are carried out on the edge side of a charging station; service tension reflecting real-time pressure of the station is constructed through a load evolution rate, power constraints and queuing density; a user charging request is converted into a packet elastic scheduling unit, so that the demand has the characteristics of migration and extension; service tension and elastic units uploaded by each edge node are converged on the cloud side; a cross-site tension difference collaborative potential field is established; global optimization is carried out with the overall tension balance as the target; structured instructions containing priority, migration suggestion and time correction are generated; charging resources are abstracted into time service slots on the edge side; queues are dynamically reconstructed and local migration is executed according to the instructions; meanwhile, execution deviation is collected and fed back to the cloud side to realize closed-loop optimization. The application realizes efficient self-adaptive allocation of charging facility resources through cloud-edge collaboration.

The invention discloses a province, region and station scheduling unified management method and system, and relates to the technical field of integrated operation management, and the method comprises the steps: receiving province, region and station monitoring equipment data, including timestamps, event codes and associated parameters, analyzing the data, recognizing data fluctuation, and obtaining a fault preliminary screening result by comparing historical modes and screening potential fault signals. According to the province, region and station scheduling unified management method, early recognition of fault signals and accurate classification of abnormal modes are achieved by receiving and analyzing the data of the monitoring equipment, the efficiency and accuracy of data analysis are improved through comparison of real-time data and historical data, and by recognizing data changes of differentiated time periods, the accuracy of data analysis is improved. Fault detection is accelerated, the processing capability of complex abnormal conditions is enhanced, alarm response time and processing priorities are set for abnormal types, emergency response efficiency is improved, a network flow management strategy and a data transmission path are optimized, processing delay is reduced, network performance and stability are improved, and operation efficiency and user experience are effectively improved.

The application provides a highway toll station service capacity dynamic regulation method and system, relates to the highway management and control technical field, and the method comprises the following steps: collecting traffic operation state sensing data, real-time operation data and AI event detection data of the toll station of the highway, and fusing and generating comprehensive operation state evaluation data set; based on the comprehensive operation state evaluation data set, it is judged whether the closing condition of the toll station is met, if the closing condition is met, the closing operation of the toll station is executed, and the temporary closing prompt information is pushed to the vehicle end; if the closing condition is not met, the number of entrance and exit lanes of the toll station is dynamically allocated according to the entrance and exit traffic flow and the average service capacity of the entrance and exit lanes of the toll station, and the slow-down prompt information is pushed to the vehicle end, so that the service capacity of the highway toll station is dynamically regulated to guarantee the smooth road and improve the operation efficiency.

The invention relates to an AIoT-based file and creative post operation method and an operation device, and belongs to the field of intelligent equipment and systems. The operation method is operated based on the self-service selling management subsystem, the intelligent guiding and leasing subsystem and the AI interaction operation subsystem. The intelligent guiding and leasing subsystem uploads guiding content information and plays propaganda materials through a screen of an equipment end according to streaming user attributes; a user obtains a commodity picture, a price and a commodity channel number through the self-service selling management subsystem to select a transaction product; the intelligent guide leasing subsystem obtains user identity information, applies for a collection code through a third-party payment platform, prompts payment, and completes leasing or returns to the guide terminal; and the AI interaction operation subsystem carries out posture interaction and voice broadcast with a user. According to the AIoT-based file and creative post operation method and operation device, a closed-loop operation mode of renting, using, returning, purchasing and playing of guide terminals, file and creative commodities and interactive services can be realized, and a one-stop closed-loop operation service is realized.

The invention relates to the technical field of cleaning equipment operation data analysis, and discloses a cleaning equipment operation data analysis method and system, which can identify the ground type and generate a corresponding environment identifier by acquiring ground reflection light characteristic information. In combination with the ground cleanliness sensor data and the position information of the cleaning equipment, the system can inquire the environment identifier corresponding to the sensor data. On the basis, whether signal fluctuation is caused by environmental reflection characteristics or not is judged by analyzing signal fluctuation characteristics of sensor data according to environmental identification and the signal fluctuation characteristics. The judgment mechanism effectively solves the problem of sensor data misjudgment caused by a high-reflectivity ground material in the prior art.

This invention belongs to the field of rail transit technology, and particularly relates to a train turnaround control method. It includes: after a first train obtains turnaround resources according to its travel path, it controls the switch to the reverse position; after controlling the switch to the reverse position, it begins to turn onto the route, clearing the turnaround resources in the area its tail has passed through, gradually releasing the cleared turnaround resources until the first train has completely cleared the movable area in front of the switch; after the first train has completely cleared the movable area in front of the switch, it controls the switch to the fixed position. This invention, by further refining the switch area, fully utilizes and controls the switch resources available to the train, thereby improving train turnaround efficiency.

The application provides a script-based virtual-real fusion guide method and system based on Beidou positioning, and relates to the technical field of intelligent travel guide, which comprises filtering and calibrating the user position collected through Beidou positioning and collecting real scene pictures; an interactive framework is constructed, and the node content is triggered when the deviation between the user position and the node position is not greater than the deviation threshold; the virtual character is called according to the node content to explain the real scene pictures, and the interactive task is published in combination with the behavior data of the user; the emotion recognition is performed on the node content, the real scene pictures, the behavior data and the interactive task to generate emotion features, which are input into an AI composition model to output scene music; the interactive interface of the virtual character and the interactive task is fused with the real scene pictures based on a fusion rendering algorithm, and the guide picture is output and the scene music is played synchronously, so that the script-based virtual-real fusion immersive guide based on Beidou high-precision positioning can be realized, and the tour experience of tourists and the operation efficiency of the scenic spot can be greatly improved.

The present application discloses an object analysis method, device, electronic device and computer-readable storage medium. The embodiment of the present application obtains multiple target object groups to be analyzed, and obtains distribution indication parameters of the target object groups on at least one portrait label; based on the distribution indication parameters of the target object groups on the portrait label, the distribution degree of the target object groups on the portrait label is determined; when there are at least two target object groups distributed on the same target label, based on the distribution indication parameters of the at least two target object groups on the target label, the distribution vectors corresponding to the at least two target object groups are determined; based on the distribution vectors corresponding to the at least two target object groups, the distribution difference information of the at least two target object groups on the target label is obtained. The embodiment of the present application can improve the operation effect.

The invention discloses a customer asset intelligent management system based on a hierarchical dynamic driving model, which relates to the technical field of business data processing and comprises a unified data middle table, a hierarchical dynamic driving engine, a strategy driving unit, a feedback optimization unit, a loss early warning and intervention unit and a quantitative stripping decision unit. According to the invention, dynamic and automatic customer asset management is realized, and the system can automatically execute a precise strategy for intervention, upgrading or stripping, so that the overall value and operation efficiency of customer assets are remarkably improved, and the management efficiency of the customer assets is improved.

The present invention relates to a spunbond nonwoven fabric with improved opening quality and no hazardous residue, a manufacturing method thereof, and a manufacturing apparatus thereof. The method for manufacturing a spunbond nonwoven fabric according to the present invention includes a step of allowing the continuous filament bundle to collide with a metal member containing bismuth (Bi) or a bismuth alloy to obtain filaments opened by frictional charging.