24 results about "Business simulation" patented technology

The invention relates to the field of manufacturing industry, in particular to a pomegranate peeling production line-oriented multi-process collaborative scheduling optimization method, which comprises the following steps of: acquiring and processing a first business data stream from an internet of things interface, and inputting historical sensor data into a business prediction model to generate a second business data stream; generating a third service data stream by using the data of the multi-mode sensor array; constructing a multi-target business cost function through a business decision optimization engine; starting an iterative optimization business simulation process to obtain an optimized scheduling scheme; and generating a corresponding digital production work order according to the optimized scheduling scheme. According to the method, equipment state, equipment health degree cost and quality indexes are analyzed through fusion of three business data streams and a multi-objective cost function construction method, comprehensive commercial value evaluation is generated, iterative optimization simulation and closed-loop optimization are started when conditions are met, scheduling optimization of timeliness and value fluctuation in perishable material scheduling is achieved, and the scheduling efficiency of perishable materials is improved. And the commercial value creation and self-adaptive scheduling capability of production is improved.

According to the business processing method and device, the electronic equipment and the storage medium provided by the invention, firstly, the business demand data of the target business and the historical business data corresponding to the target business are acquired, and the business demand data at least comprises the simulated user incoming line quantity, the simulated seat quantity and the business simulation termination condition; then, based on the simulated user incoming line quantity and the simulated seat quantity, a simulation implementation scheme of a target service is initialized, simulation implementation is carried out on the simulation implementation scheme until a service simulation termination condition is reached, a simulation result is obtained, the simulation implementation scheme is simulated through a digital twin model, the operation process can be rehearsed before the service is actually developed, and the service simulation efficiency is improved. Potential problems such as seat scheduling and incoming line scheduling are found, and the accuracy of service processing is improved. And finally, determining a to-be-applied implementation scheme of the target service according to a simulation result and historical service data. According to the technical scheme, simulation dynamic adjustment of the implementation scheme is carried out according to the service scene, and the service processing efficiency is improved.

The embodiment of the specification provides an information processing method of medical insurance business, wherein the information processing method of medical insurance business comprises the following steps: acquiring attribute distribution information of medical insurance business in association with a business attribute dimension, thereby creating a simulated user set and determining medical insurance business simulation information of a simulated user in the set; inputting the medical insurance business simulation information into a medical insurance business prediction model to obtain user guarantee information of the simulated user; generating global guarantee information according to the user guarantee information, and creating a medical insurance business update strategy according to the medical insurance business information and the global guarantee information. The simulated user is created through the attribute distribution information, and is applied to guarantee behavior prediction of the medical insurance business, so that the guarantee situation of the medical insurance business can be more reasonably predicted, and the creation of the business update strategy on this basis can enable the medical insurance business to provide medical insurance services for users on the premise of balancing income and expenditure, so that relevant factors that have an impact on the medical insurance business can be effectively controlled.

The invention discloses a power grid enterprise internal business simulation market settlement method and system based on a rule engine and a dynamic pricing engine, and the method comprises the steps: defining a transaction main body of power grid enterprise internal business simulation market settlement, and dividing the transaction main body into a service unit and a served unit; business activities are clarified, and the business activities are classified according to business characteristics; a rule engine is utilized to dynamically configure a corresponding work flow, a cost and benefit sharing cause relationship and a self-defined business rule for business activities between the service unit and the served unit; integrating the internal data and the external data by using a dynamic pricing engine, selecting a corresponding pricing algorithm model according to the business characteristics of business activities provided by a service unit, and generating and dynamically adjusting an internal settlement price provided for a served unit; simulation metering, pricing and settlement are carried out on business activities between the service unit and the served unit, simulation profit of each unit is measured and calculated, and multi-dimensional evaluation analysis is carried out.

The present application relates to the field of manufacturing, in particular to a multi-process collaborative scheduling optimization method for pomegranate peeling production line, comprising collecting and processing first business data stream from Internet of Things interface, inputting historical sensor data into business prediction model to generate second business data stream; generating third business data stream from data of multi-modal sensor array; constructing multi-objective business cost function through business decision optimization engine; starting iterative optimization business simulation process to obtain optimized scheduling scheme; generating corresponding digital production work order from the optimized scheduling scheme. Through the three business data stream fusion and multi-objective cost function construction method, the device state, device health degree cost and quality index are analyzed, and the comprehensive business value evaluation is generated. When the conditions are met, the iterative optimization simulation and closed-loop optimization are started, the scheduling optimization of time effectiveness and value fluctuation in perishable material scheduling is realized, and the business value creation and adaptive scheduling ability of production are improved.

This system improves the quality of business planning and enables efficient project progress management and effectiveness measurement. [Solution] The system includes means for providing generated business plans to users, receiving user feedback, and modifying or regenerating the business plans based on that feedback. It also includes means for dynamically generating a user interface and visually displaying the progress of business plans and projects. Furthermore, it provides means for collecting and analyzing project progress and results in real time and automatically generating effectiveness measurement reports based on this. It also trains a machine learning model using the collected data and automatically generates business simulations using this model. In addition, the system provides means for collecting each employee's work history and skill set and recommending resources and training tailored to individual needs.

The invention discloses a multi-agent bidirectional competitive cooperation system and method based on a large language model, and belongs to the technical field of artificial intelligence and computational economics crossing. According to the system, a bidirectional dynamic competition framework between a service agent and an experience agent is constructed, and dynamic gaming between the agents is realized through a resource-influence-information three-dimensional competition space in combination with a strategy generator driven by a large language model and a reinforcement learning optimization mechanism. A dynamic constraint mechanism is introduced into the system and comprises elastic resource supply and a reverse monopoly circuit breaker, so that market competitive health and system stability are maintained. The method can be used for scenes such as platform economic governance and meta-universe business simulation, and a computable theoretical tool is provided for digital social competition behavior research.

The invention relates to the technical field of personnel scheduling management, in particular to a personnel scheduling management method and system based on a PPMH index. The method comprises the following steps: collecting historical business data and carrying out business density estimation, generating business density data and complete man-hour data, carrying out business demand estimation based on the business density data to obtain an estimated product quantity, generating an efficiency demand standard, carrying out man-hour simulation inference according to the efficiency demand standard, and carrying out man-hour simulation inference according to the efficiency demand standard. The method comprises the steps of obtaining pre-estimated required basic working hours, generating pre-estimated PPMH data, performing personnel configuration mapping based on the pre-estimated PPMH data to obtain an initial scheduling scheme, performing business simulation to generate simulated business data, reconstructing the initial scheduling scheme according to the simulated business data to obtain an alternate scheduling sequence, and sending the alternate scheduling sequence to a terminal for personnel management. According to the invention, a more flexible and more accurate personnel scheduling management method is realized.

The present disclosure provides a service simulation verification method and device, electronic equipment and computer readable storage medium, and relates to the technical field of network operation and maintenance. The method comprises the following steps: obtaining network element device data and service configuration data corresponding to a network element device, processing the network element device data to generate network element data table structure information, processing the service configuration data to generate service data table structure information, constructing a service dynamic update model based on the network element data table structure information and the service data table structure information, obtaining service simulation data corresponding to a target service when a target service opening message is obtained, inputting the service simulation data into the service dynamic update model, and outputting verification data corresponding to the target service by the service dynamic update model. The embodiment of the present disclosure can simulate and verify the newly opened complex service, avoid the impact of the complex service on the online service, and improve the intelligent level and efficiency of service opening verification.

A system is provided.SOLUTION: A system, comprising: means for generating a specific scenario for a selected business simulation using generation artificial intelligence; means for providing a visual and auditory experience to a user based on the generated scenario using a mixed reality technology; means for detecting a user's operation in real time and performing a simulation based on the detected user's operation; and means for analyzing user's operation data and generating feedback after the simulation is completed.SELECTED DRAWING: Figure 1

The invention discloses a method, a device and equipment for adjusting logistics business and a computer readable medium, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of splitting data in an actual logistics business request of a business line to obtain an order basic table, a vehicle basic table and a line configuration table; screening data according to the business line and the order basic table to construct order information, constructing vehicle information according to the vehicle basic table and an area where a vehicle is located, and constructing configuration information according to the line configuration table; calling a logistics business simulation model, wherein the logistics business simulation model outputs a simulation logistics business result; and comparing a scheduling logistics business result of the actual logistics business request, an actual logistics business result and the simulation logistics business result, so as to adjust the logistics business planning model based on the logistics business simulation model. According to the embodiment, the logistics business can be adjusted in time, and the arrival timeliness of the transportation object in the logistics business is improved.

The application discloses a power distribution network secondary business real-time simulation method based on a coroutine and a discrete event queue, which comprises the following steps: S1, constructing an entity set; mounting each component corresponding to each entity; constructing a global topology; constructing a business system; S2, establishing a discrete event queue; any observable event in the discrete event queue is in the cycle control on the event scheduler; S3, instantiating each business logic into each corresponding coroutine task; each coroutine task is handed over to the event scheduler for control, and is used for setting each coroutine task into a suspended-waken-up-short processing-re-suspended execution mode, and starting simulation. Through the overall modeling of entities-components-topology-system, the application carries out specific data interaction between secondary business simulation and actual physical simulation, optimizes the object and running logic of the secondary business simulation, guarantees the fixed step execution of the actual physical simulation, and improves stability, reduces delay and resource consumption.

The application belongs to the technical field of computer vision and natural language processing application, and particularly relates to a chart data analysis text generation method, which comprises an image coding module, a chart text contrast learning module and a script generation module. On the basis of combining a traditional chart text generation model, the model can obtain the features and change trends of charts in a finer granularity through a double-guiding mode of data analysis text and analysis feature query, and generate a popular script description in combination with a large language model. The application can well realize dynamic chart recognition and analysis, reduce subjectivity and singleness caused by manual participation, provide rich cases for a business simulation application based on data chart analysis, improve simulation training difficulty, and more effectively help experimenters learn more complex business changes.

The present invention discloses a security simulation unit, an interaction method for the security simulation unit, and a system. The security simulation unit includes security simulation hardware and program components running on the security simulation hardware. The program components include a security service program, a security service support component, and a system support component. The security service program includes a simulation ESAM unit management module, a 698 ciphertext protocol parsing module, a log recording module, an ESAM business simulation module, an SM encryption and decryption module, and a multi-task concurrent processing module, which is used to provide data security services for external devices and process client API call functions in a TCP / IP manner. The security simulation hardware includes an MCU, an SSD hard disk, a RAM, a network card, a communication interface, and an encryption card. The client interface part is the external interface of the security simulation unit, which calls the security service function and realizes customized function configuration. The security simulation unit has strong scalability, a high degree of modularity, wide hardware support, and good security and reliability.

The embodiment of the invention relates to the technical field of information, and discloses a user play and response method, device and product, and the method comprises the steps: obtaining historical business dialogue data, and constructing a dialogue sample for training a large model based on the historical business dialogue data, so as to obtain a preprocessing training sample divided according to a business scene; performing fine tuning training on the first large language model based on the preprocessed training sample, and constructing a role large model with user role playing ability by using the fine-tuned large model; setting user role feature parameters and / or drill scene parameters according to service drill requirements; receiving input information of a drill, and inputting the input information, the role feature parameters and / or the drill scene parameters into the role large model, so that the role large model generates a user feedback verbal skill; the user feedback verbal skill is returned to the drilling personnel, so that the user play type business pair training is realized; therefore, efficient, vivid and customizable business practice is realized, and the actual combat and interactivity of business training are improved.

The invention relates to the technical field of data center resource scheduling, and discloses a next-generation data center service simulation load scheduling system based on reinforcement learning. The system comprises a data extraction module, an intention analysis module, a feature mapping module, a reinforcement learning decision module and a global scheduling optimization module. Through load state phase identification, a resource consumption track is divided into a steady state interval and a transient interval, and accurate adaptation of a scheduling strategy and a load dynamic mode is realized. Through service intention decoding, unstructured meta-information is converted into a structured task demand description graph, and direct association between service semantics and resource parameters is established. And the system inputs the generated collaborative feature mapping table and facility health degree data into a reinforcement learning strategy network, outputs an adaptability quantized value, and executes global constraint optimization based on the adaptability quantized value to generate a final resource allocation scheme. According to the scheme, the resource utilization rate and the task execution efficiency can be improved, and collaborative optimization of the load behavior mode and the service intention is realized.

The invention provides a workflow-based block chain service testing method and system, and relates to the technical field of data processing and block chain service testing. The system comprises a test service unit used for obtaining business logic information and test verification information of a block chain business, performing simulation arrangement based on the business logic information and the test verification information, generating a workflow task and business scene information, and sending the workflow task to a test execution unit, the service scene information is sent to the service simulation unit; the business simulation unit is used for calling the to-be-tested block chain system based on the business scene information and simulating a business scene of the block chain business so as to support the test execution unit to execute the workflow task; and the test execution unit is used for calling the to-be-tested block chain system and executing the workflow task under the business scene provided by the business simulation unit to obtain test data information. According to the invention, the flexible configuration of the business scene can be realized, and the efficiency and accuracy of the block chain business test are improved.

This application provides a simulation method, apparatus, device, storage medium, and program product for business training, which can be applied to fields such as artificial intelligence, speech recognition, deep learning, and fintech. The method includes: responding to a received simulation request from a target object; generating simulation outline information for target business simulation training based on the business type included in the simulation request, the target object's attribute information, and a pre-built business knowledge graph; determining business interaction information for interacting with the target object based on the simulation outline information; receiving business operation information and response information from the target object during the interaction with the target object based on the business interaction information, wherein the business operation information is obtained by the target object performing operations in the simulation business processing system in response to the business interaction information; and evaluating the target object's response information and business operation information in response to the business interaction information to obtain a simulation evaluation result.

The invention discloses a service simulation generation method based on a dynamic communication relation, and the method comprises the steps: building user service matrixes in different time periods based on service data collected by a network management system, and enabling the user service matrixes to comprise a service size matrix, a service generation frequency matrix and a communication relation matrix; based on the user service matrix, obtaining a logic relation matrix between users, and generating a user service generation feature model; constructing a model training set based on the collected communication service data, and training the user service generation feature model; and in the simulation platform, based on the actually acquired data, the communication service is simulated and generated through the trained service generation feature model. The invention further discloses a service simulation generation device based on the dynamic communication relation, corresponding equipment and a storage medium. According to the invention, the simulation service similar to the real communication service feature rule can be generated, and the accuracy and credibility of service simulation are improved.

The embodiment of the invention relates to a power business processing method and device based on a communication system, equipment and a medium, and the method comprises the steps: determining a target power business terminal in a target map of a power business simulation test region according to a power business test request, determining target power grid equipment and target communication network equipment in a target region where the target power business terminal is located; service terminal information of a target power service terminal, geographical environment information of a target region, power grid equipment information of target power grid equipment and communication equipment information of target communication network equipment are acquired; calculating the service terminal information, the geographical environment information, the power grid equipment information and the communication equipment information to obtain a target operation index value of the target power service terminal; and determining a power business test result of the target power business terminal according to the target operation index value. According to the technical scheme, the power business test requirements in various scenes are flexibly met, and the precision of the power business test result is ensured.

The invention discloses an attack chain association analysis and traceability method based on an RASP technology, which comprises the following steps of: implanting a probe code at a specific position of a source program, installing an RASP software probe by replacing a standard application program library, a JAR file and even a Java virtual machine, hijacking the calling of a bottom layer platform, and when a hacker attacks a real service system, executing the operation of the hacker on the bottom layer platform. A probe code introduces a hacker to a simulation honeypot system for attack, and a normal user is directly released without being affected, and the invention relates to the technical field of business application of a power business system. According to the attack chain association analysis and traceability method based on the RASP technology, the byte code instrumentation of the RASP technology is fused with a service system, web paths which do not exist originally but are interested by an attacker are added under a real service domain name in a counterfeited response mode, when a black party accesses the paths, a simulation page deployed in a honeypot is jumped to the inside of a program, and therefore the attack chain association analysis and traceability are achieved. Hackers cannot distinguish authenticity, and the business simulation degree is improved.

The invention relates to an electric power backbone communication network collaborative simulation analysis method and system, the method comprises modeling, modeling-based analysis and platform construction, the modeling step comprises: S1, communication network simulation modeling, including communication service model construction and communication network model construction; s2, modeling communication, protection and safety control services; the modeling-based analysis step comprises the substeps of S3, communication and line protection and stability control system coupling analysis, including communication and power grid primary and secondary coupling risk assessment and communication and power grid primary and secondary coupling fault analysis, and the platform construction step comprises the substeps of S4, simulation platform architecture, simulation management and primary and secondary coupling analysis. According to the method, entity and logic models are constructed through a research object module with large resource and business volume of the power system, and an automatic, efficient, safe and integrated fault monitoring and operation and maintenance scheme in a communication network of the power system is realized by establishing a protection and stability control coupled business simulation model based on the construction.

The invention discloses an intelligent operation and maintenance system and method for an oil field information network, and the system carries out the monitoring of equipment and facilities, such as oil field Internet of Things equipment, a server, a memory, a switch, a database, middleware, an application system, and the like, achieves the automatic discovery of a network, the early warning of a problem, the rapid positioning of a fault, and the effective management and control of resources. The system can realize the conversion from passive operation and maintenance to active service, carries out corresponding operation and maintenance processes, equipment monitoring, business simulation and the like through the application module, the data service module and the component service module, standardizes and optimizes the service processes, realizes resource monitoring and business simulation of an information system, improves the efficiency and quality of the whole operation and maintenance service work, and improves the operation and maintenance efficiency. A process, standardization and standardization management method is established through the application module, a basis is provided for specialized, refined and scientific management, and the guarantee level of oil field production is improved.

The invention discloses a multi-phase power supply control method and electronic equipment, and relates to the technical field of server power supply, and the method comprises the steps: obtaining the dynamic response data of a multi-phase power supply under a target load working condition point, obtaining an output quantity based on the dynamic response data of the target load working condition point through a first pre-training neural network, and the power supply dynamic response meets a preset standard. Actual load dynamic response indexes such as a load current proportion, a current change rate and load stabilization time in an actual service scene are collected, a corresponding predicted switching frequency is obtained by means of a second pre-training neural network, and the neural network is trained based on the load dynamic response indexes of different service simulation scenes and the adaptive switching frequency; through cooperative control of the output quantity and the predicted switching frequency, the switching frequency of the multi-phase power supply is dynamically adjusted, the problems of high light-load high-frequency loss, poor heavy-load low-frequency response and unstable voltage are solved, and the balance of efficiency and stability under different load working conditions is realized.