28results about How to "Improve agility" patented technology

This invention provides a method, apparatus, electronic device, and storage medium for installation compliance inspection, belonging to the field of artificial intelligence technology. The method includes: retrieving regulatory clauses related to the inspection instructions; using a language model to decompose the regulatory clauses into at least one visual inspection sub-task for inspecting the installation image to obtain a structured task plan; using a visual model to execute the visual inspection sub-task on the installation image to obtain a structured visual inspection result; and inputting the structured visual inspection result and the regulatory clauses into the language model to obtain a judgment result on whether the product installation is compliant. The cognitive framework constructed by this invention enables the language model to understand the regulatory clauses in the knowledge base in real time and dynamically transform them into an executable inspection plan for the visual model. This collaborative model of knowledge-driven planning and visual execution solves the problems of traditional solutions relying on hard-coded logic and having poor scalability. It can quickly respond to changes in business specifications at extremely low cost, combining high accuracy and high agility.

The invention discloses a query response and code generation method and system based on power field document analysis, and the method comprises the steps: carrying out the analysis and preprocessing of an input field document, and constructing a document text logic diagram; constructing a domain knowledge graph; receiving user query, and executing structure matching retrieval based on a document text logic diagram and association reasoning retrieval based on a domain knowledge graph to form a traceable evidence packet; constructing a structure enhancement context based on the evidence packet, inputting the structure enhancement context into a domain language large model, and generating a response containing a natural language description and a structured domain language code; and performing instant compilation and tensor simulation verification on the structured domain language code, triggering retrieval and generated closed-loop correction based on deviation information when the verification is not passed, and outputting an analysis result and the code when the verification is passed. According to the method, the accuracy, interpretability and output reliability of long document processing in the electric power field are improved.

The invention provides a rule base updating method and system, and the method comprises the steps: for each network device, the network device determines whether the network flow data of the network device is matched with a preset rule base, if the network flow data is not matched with the preset rule base, the network flow data is determined as abnormal network flow data, and if the network flow data is not matched with the preset rule base, the abnormal network flow data is sent to the network device; generating an alarm instruction for indicating that the network flow data is in an abnormal state; the remote log server responds to an alarm instruction received from the network equipment, determines abnormal traffic data of the network equipment based on abnormal network traffic data received from the network equipment, determines a target association rule corresponding to the abnormal traffic data based on the abnormal traffic data, and sends the abnormal traffic data to the network equipment according to the target association rule; and updating a rule of a preset rule base in the network equipment, so that the updated preset rule base is obtained in the network equipment. By adopting the technical scheme provided by the invention, the agility of intercepting the abnormal traffic and the security of the industrial control system network are improved.

The utility model discloses a multi-sense full-color laser optical network effect system, which belongs to the technical field of semiconductor laser application, and comprises a left side wall body and a right side wall body which are symmetrically arranged, and one side of the left side wall body close to the right side wall body is fixedly connected with a laser light source system. The side, close to the left side wall body, of the right side wall body is fixedly connected with a laser reflecting mirror set, the side, close to the laser light source system, of the left side wall body is fixedly connected with a radiator, and a sensing mechanism is arranged between the left side wall body and the right side wall body. The system solves the problems that an existing laser light network effect system cannot link various senses of audiences, and a plurality of line laser lamps are adopted to emit light at the same time to form a light network, so that equipment operation is inconvenient, cost is high, and light shadow and sense effects are poor.

This invention relates to the field of network routing optimization technology, specifically to a network path optimization method, apparatus, electronic device, and storage medium. In this invention, by synchronously monitoring bit rate and packet rate load, and using the higher of their utilization rates as the criterion for link congestion judgment, the limitations of traditional single-indicator evaluation are effectively overcome, enabling cost calculation to more comprehensively and accurately reflect real-time link congestion risk. Through a cost coefficient mapping mechanism, and combined with a baseline link cost to determine dynamic link costs, real-time and accurate input is provided to the path optimization algorithm, resulting in significant optimization of the overall network in terms of throughput and transmission latency. This is particularly suitable for high-reliability industrial scenarios sensitive to jitter.

The utility model relates to a fountain equipment technical field, especially a pencil type circulating fountain, including the pen point, the pen point top outer wall fixedly connected rotating base, rotating base inner wall fixedly connected first motor, first motor output fixedly connected gear, the rotating base inner wall has set up first sliding slot, the rotating base top outer wall sliding connection pen barrel outer wall, the pen barrel inner wall is fixedly provided with the toothed disc, the toothed disc is engaged with the gear, the utility model discloses through starting the first motor in rotating base, drives the gear and toothed disc engagement transmission, drives pen barrel rotation. The waterproof color light bar of pen barrel outer wall synchronous display changeable light, create the visual effect of dynamic and gorgeous multicolored, make the fountain become the visual focus, simultaneously, the atomizer and the spray head that added, let the fountain on the basis of traditional water flow injection, add the landscape level that water mist diffuses and rain curtain sprays, the form and the texture of the fountain are enriched.

This invention discloses a query response and code generation method and system based on document parsing in the power industry. The method includes: parsing and preprocessing the input domain document to construct a document text logic graph; constructing a domain knowledge graph; receiving user queries and performing structure matching retrieval based on the document text logic graph and association reasoning retrieval based on the domain knowledge graph to form a traceable evidence package; constructing a structure-enhanced context based on the evidence package and inputting it into a large domain language model to generate a response containing natural language descriptions and structured domain language code; performing just-in-time compilation and tensor simulation verification on the structured domain language code; if verification fails, triggering closed-loop correction of retrieval and generation based on deviation information; if verification passes, outputting the parsing result and code. This invention improves the accuracy, interpretability, and output reliability of long document processing in the power industry.

The utility model relates to the technical field of sauna room design, in particular to a sauna room which comprises a room body, a seat is arranged in the room body, the seat is fixed on the inner side wall of the room body in a suspended mode, and a sauna furnace is arranged below the seat. The sauna furnace comprises a furnace body, a heating pipe arranged in the furnace body and a protection box arranged on the outer side of the furnace body in a sleeving mode, the furnace body is hung in the protection box, and the furnace body is evenly filled with a plurality of heating stones; a plurality of groups of heating pipes are arranged, and the heating pipes are coiled along the inner wall of the furnace body; the protection box and the seat are arranged at the same height, grids used for dissipating heat are arranged on the side walls of the periphery of the protection box, and each grid is of an inclined opening structure with an upward opening. According to the sauna room, the sauna furnace and the seat are integrated and hidden in the seat, so that visual interference is reduced, the space conciseness is improved, and heat in the sauna room can be more uniform; therefore, the overall quality and the use experience of the sauna room can be improved.

The invention relates to the technical field of dynamic simulation, and discloses an electric fireplace three-dimensional dynamic flame simulation generation method and system, and the method comprises the steps: obtaining a flame base region, carrying out temperature gradient solution and heat source intensity mapping, obtaining temperature gradient distribution and heat source intensity distribution, and carrying out heat flow direction vector screening, and obtaining an initial thermal driving vector; according to the initial thermal driving vector, acceleration weighting calculation is carried out to obtain a final acceleration, and spatial displacement calculation is carried out to obtain an actual track sequence; according to the actual track sequence, displacement correction is carried out, a coherent path sequence is generated, abnormity recognition is carried out, and an abnormal path is obtained; calculating the variance of the initial speed sequence according to the coherent path sequence to obtain an inter-frame continuity result, and performing trajectory smoothing according to the abnormal path to obtain an optimized trajectory sequence; and performing three-dimensional texture generation according to the optimized track sequence to obtain flame texture output. The method can realize dynamic high-precision simulation of flame.

The invention relates to the technical field of process forming, in particular to a small-size thin plate part punching forming device and a using method. The small-size thin plate part punching forming device comprises a containing frame tool and a cutting template. The containing frame tool comprises an upper die part and a lower die part, and the cutting template is detachably arranged on the lower die part; the upper die part comprises an upper die plate, a containing frame and polyurethane rubber arranged in the containing frame. The lower die part comprises a lower die plate, a platform plate and a fixing structure. And the fixing structure is used for detachably fixing the cutting template on the platform plate.

The application discloses a kind of electric charge data checking method and system, the method includes: reading electric charge service data is numerized and null mask preprocessing, constructs the three-dimensional quantity fee data tensor covering user, billing element and time dimension;Electric charge audit business rule is parsed, and algebraic mapping is tensor calculation function based on three-dimensional tensor;Merging each calculation function constructs global operation dependency graph, and fuses the public tensor calculation node shared by multiple rules;Topological sorting is carried out to the graph after fusion, and layered batch parallel executes tensor operation, and outputs exception identification tensor;Finally, based on coordinate extraction and high-dimensional tensor slice extraction exception data and generate diagnosis report.The application will be equivalent to traditional discrete logic condition determination into bottom matrix parallel computing, and reduce the memory bandwidth consumption by operator sharing mechanism, realize the high concurrency of million-level massive electric charge data and low-delay accurate diagnosis.

The utility model discloses a kind of lightweight heat dissipation type automobile hub structure, it is related to lightweight heat dissipation type automobile hub technical field, including hub main body, the outer wall of hub main body is integrally connected with heat dissipation component, one side of the hub main body is provided with lightweight assembly, the inside of the lightweight assembly is provided with bolt, the lightweight assembly includes hub cover, and hub cover is fixed in one side of hub main body.This lightweight heat dissipation type automobile hub structure is set by setting hollow frame and carefully setting hollow groove on it, cleverly optimize hub structure, these hollow grooves are reasonably laid out and designed, under the premise that sufficient structural strength is fully guaranteed to hub, various acting forces in the process of stable bearing vehicle weight and driving, the material usage amount of hub is effectively reduced, the goal of lightweight hub is realized, which not only helps to reduce vehicle energy consumption, improve the agility of control, but also can provide strong support for the optimization of overall performance of vehicle.

The invention relates to a log desensitization method, system and device capable of dynamically updating rules and a program product. The system comprises a configuration management center and a log desensitization agent. And the configuration management center is used for centrally storing and managing the desensitization rules and actively sending update notifications to the associated agents after the rules are modified. The log desensitization agent is packaged into a Java Agent, and parameter loading is started through the JVM of the target service application. When the application is started, the agent implants desensitization logic into the log output class through a byte code enhancement technology; the method comprises the following steps: acquiring an initial rule from a configuration management center and caching the initial rule in an own memory; and when a rule updating notification is received, dynamically pulling a new rule and updating the memory, so that the rule takes effect in real time. And when the business application runs, the agent carries out desensitization processing on the log output according to the latest rule in the memory.

The application discloses a large file cross-unit transmission method based on a business cooperation scene, relates to the technical field of cross-organization data transmission and resource scheduling, and takes a business context as a core to map an event type, an emergency level and an SLA deadline time into a calculable priority, and is linked with real-time network measurement results, so that scheduling no longer stays in static file attributes, but can instantly improve the service share of a key request according to events such as out-of-stock early warning and promotion start, thereby reducing the probability that a high-emergency task is blocked by regular transmission. By introducing unit-level quotas, admission and interruptible preemption on the side of a bottleneck link, long-term occupation caused by first-come-first-served is avoided, basic fairness between different units is ensured, and bandwidth can be quickly transferred to more urgent flows at a business peak moment. Weighted round-robin weights are dynamically updated according to the emergency degree, the SLA urgency degree and the quota surplus degree, hysteresis and minimum interval control are superimposed, and the agility of scheduling is improved.

The present application relates to the technical field of data processing, in particular to a multi-module collaborative management system and method fusing attendance and business approval. In the system: an event access module listens to and captures state data of different attendance terminals and business approval systems, standardizes the state data into attendance life cycle events and publishes the attendance life cycle events to an event distribution module; the event distribution module distributes the events to a conflict state buffer module in which a first cache set and a second cache set are located; the conflict state buffer module synchronizes a mapping relationship between a punch parameter change amount and an approval activity time period in real time; after determining a conflict trigger, a conflict resolution module adaptively decides to execute a fast and direct state ruling or quantitative confidence score calculation according to event characteristics and business urgency, and resolves the conflict of the event. The present application realizes deep decoupling of physical attendance and approval systems, greatly improving the real-time performance and accuracy of conflict self-healing determination.

The invention discloses a multi-system fused wooden door manufacturing enterprise information system integration architecture and method, which adopts a layered loose coupling design, and comprises an enterprise operation layer which comprises an enterprise resource planning system for order and financial management and a product life cycle management system for product model and process management; the planning and scheduling layer comprises an advanced planning and scheduling system which serves as a planning decision center and carries out limited productivity simulation and optimized scheduling based on multi-source real-time data, and the manufacturing operation layer comprises a manufacturing execution system used for production execution and monitoring and a warehouse management system used for fine management of materials. By constructing a unified data model, adopting an event-driven loose coupling collaboration mechanism and establishing a middle platform for converging real-time manufacturing data, full-process digital communication and intelligent linkage from customer orders, product design, material supply, intelligent scheduling, manufacturing execution to warehouse logistics are realized.

This invention discloses a method and system for flexible educational resource scheduling based on microservice orchestration, relating to the field of educational resource scheduling technology. This method acquires educational resource data (including educational support resource data and user behavior data) for a designated educational platform within a set period; analyzes the platform's resource elasticity feature set (including educational resource supply characteristic values ​​and educational demand intensity characteristic values) based on the platform's resource elasticity feature set; and analyzes the platform's educational resource adaptation characteristic values ​​based on the platform's resource elasticity feature set. This invention performs microservice orchestration resource scheduling on the designated educational platform based on the educational resource adaptation characteristic values, effectively avoiding resource scheduling lag and coarse control, thereby enabling the educational platform to maintain refined resource allocation under different load conditions.

The application relates to the technical field of heat dissipation devices, in particular to an integrated asymmetric radiation envelope structure heat dissipation system for a computing power computer room, which comprises a heat dissipation module, a running module, a heat import optimization module, an image sensing module, a data acquisition module, a data processing module, a data analysis module and an execution module. The system preprocesses the running data of the received heat dissipation module, judges the heat dissipation efficiency of the system through the effective net radiation heat dissipation power density and a preset threshold value, adjusts the average mirror reflectivity of the photon mirror based on the judgment result, and further determines the standard effective net radiation heat dissipation power density according to the adjustment result. The application realizes the unified processing and analysis performance optimization of the heat dissipation system, effectively reduces the effective net radiation heat dissipation power density of the envelope structure heat dissipation system of the application, and improves the resource utilization rate.

The invention relates to the technical field of financial data processing and business intelligent decision making, in particular to a full-process end-to-end profit accounting prediction method based on big data analysis, and the method comprises the steps: extracting full-process business operation nodes to establish a business causal map; generating a dynamic causal map; initializing profit contribution values of source nodes in the dynamic causal atlas; based on the dynamic causal atlas and in combination with a preset business conversion coefficient and a macroscopic influence weight, calculating to obtain accumulated profit contribution of the non-source node; in response to an input future macroeconomic scene, re-calculating to generate a global profit prediction result; when a deviation exists between the global profit prediction result and the reference profit, calculating a causal contribution degree index of each causal path to output a key causal path causing the deviation; the method solves the problem that the traditional method is difficult to distinguish whether the deviation is caused by the internal efficiency problem or the external environment impact.

This invention discloses a method and system for predicting the operating status of a belt conveyor based on digital twins. The method includes: collecting operating and environmental data of the belt conveyor drive system; constructing a digital twin thermodynamic observation model based on lumped parameter thermal network theory; analyzing the model prediction residual characteristics to obtain an initial adaptive forgetting factor; combining load fluctuation characteristics with compensation and correction to obtain a final adaptive forgetting factor; updating the algorithm covariance matrix and equivalent heat dissipation coefficient; finally, using the optimized algorithm to deduce the trajectory of the equivalent heat dissipation coefficient; predicting the critical time for thermal damage through an extrapolation model; and automatically triggering spare parts inventory allocation when this time meets the warning conditions. This invention optimizes the adaptive forgetting factor mechanism of the recursive least squares method, improving the accuracy and robustness of status prediction, realizing intelligent collaboration between equipment operation and maintenance and spare parts scheduling, and reducing the operating cost of the equipment throughout its entire lifecycle.

This invention relates to the field of avionics bus testing and modular instrument technology, specifically to an automated functional testing system for avionics buses based on a modular instrument architecture. The system includes a communication acquisition node, a backplane transmission channel with a first-in-first-out buffer, a low-level bus probe, a status acquisition module, a congestion quantization module, a strategy generation module, and an adaptive scheduling module. The status acquisition module acquires memory access channel occupancy, trigger synchronization clock phase jitter parameters, and system interrupt response differences. The congestion quantization module uses weighted summation to obtain the system's micro-congestion entropy index. The strategy generation module generates full-load concurrent injection, local frequency reduction, or backbone communication deterministic protection strategies based on a first risk threshold and a second limit threshold. The adaptive scheduling module uses feedback sampling to adjust control quantities, correcting the time difference between excitation transmission and response reception, and improving timing reliability in high-concurrency closed-loop testing.

The invention discloses a map data real-time fusion and visualization system for territorial space planning, and particularly relates to the technical field of geographic information, the map data real-time fusion and visualization system comprises a space-time reference unification module, a streaming topology fusion module, an incremental three-dimensional model construction module and a multi-modal interactive visualization engine module, and the three-dimensional model construction module and the multi-modal interactive visualization engine module are integrated through coordinate transformation and timestamp alignment. And unifying multi-source heterogeneous data to a standard space-time reference, carrying out topology conflict detection and automatic mediation on elements in a planning partition based on a preset authority level mapping table, and driving to generate three-dimensional planning scene grid data accurately embedded with the terrain according to planning attribute codes. Planning analysis, current situation comparison and scheme simulation views are integrated in the same interface, and attribute linkage query and scheme real-time editing and rendering are supported. According to the invention, automatic fusion of multi-source data, rapid construction of a three-dimensional scene and visual interactive simulation of a planning scheme are realized, and the accuracy and decision-making efficiency of land space planning are improved.

The invention provides a dynamic data source access method, system and device and a medium, and belongs to the technical field of computers. The method comprises the following steps: receiving and verifying data source configuration information through a configuration interface, and registering the data source configuration information to a unified registration center for state management; defining a standardized adapter interface, configuring corresponding adapters for different types of data sources, and registering the adapters to a center for dynamic loading of a service module; the service module subscribes to registration center change information, dynamically discovers available data sources and loads corresponding adapters to establish connection; reading data of the data source through an adapter and converting the data into a unified intermediate format; and automatically scheduling a data access task through a task scheduling framework, and monitoring and alarming an execution process. Through the unified registration center and standardized pluggable adapter architecture, agile access, dynamic maintenance and automatic management of the data source are realized, and the data integration efficiency, the system elasticity and the maintainability are remarkably improved.

The invention discloses a method for improving communication delay in distributed secondary control of a direct-current micro-grid. The method comprises the following steps: S1, constructing a three-level cooperative control architecture of a cloud end, a side end and an end layer; s2, decoupling the distributed secondary control algorithm into a plurality of micro-services with independent functions, and packaging each micro-service into a container mirror image supporting cross-cloud-side end node migration, resource isolation and standardized communication; s3, the cloud monitors the communication link delay and stability of each side end node in real time through periodic detection and data fusion; s4, dynamically deciding and calculating the deployment positions of the intensive and lightweight micro-service containers at the cloud-side end node; s5, container deployment and arrangement are executed; according to the invention, the real-time performance, the stability and the reliability of the secondary control of the DC micro-grid are improved by adopting a collaborative mode of a three-level collaborative architecture, micro-service dynamic deployment and digital twin delay compensation.

The invention relates to a manufacturing execution system compatible with multi-production-line collaboration and historical data, which overcomes the problem that the MES does not run through the multi-cascade assembly production line collaboration, realizes run-through management of the MES in plan, task, product data and product resume levels, pulls a single machine, components and components to perform rapid matched production through final assembly, and improves the production efficiency. And the collaborative production efficiency and the product delivery quality are improved. The problem that BOM and process data of the undertaking process system cannot be compatible and utilized with MES historical data is solved at the same time, coexistence and sharing of the undertaking data and the MES historical data are achieved, execution of various plans and tasks is continued on the basis of MES historical active data, and resource allocation of historical inventory is optimized.

The application belongs to the technical field of authority management, and specifically relates to a dynamic authority management system based on an integrated system, which, on one hand, periodically depicts a dynamic authority portrait of employees by integrating data of multiple systems, analyzes a dynamic risk value of real-time operation behaviors of employees based on the latest dynamic authority portrait, and performs an authority change operation in at least one target system associated with a risk operation, and on the other hand, analyzes metadata of event messages to identify an organization event type by monitoring an organization event queue in real time, matches a change rule corresponding to the organization event type, generates an authority synchronization instruction and starts a transactional operation, adopts a behavior risk real-time evaluation and an event-driven cross-system collaborative mechanism, realizes automatic and accurate dynamic adjustment of authority, and improves access control security and management efficiency in an integrated network environment, and in addition, introduces a self-optimization capability based on machine learning, so that the authority management has the characteristics of continuous learning and evolution.

The application provides an AGV navigation magnetic tape reliability judgment method, device, system and electronic equipment, comprising: in the process of AGV traveling along the navigation magnetic tape according to a preset route, a magnetic tape detection device arranged on the AGV is used to detect the navigation magnetic tape in real time, and the actual duration data of AGV traveling on the navigation magnetic tape is recorded; the recorded actual duration data is compared with the corresponding preset duration threshold corresponding to the preset route, if the recorded actual duration data is greater than or equal to the preset duration threshold, an alarm signal representing that there is a problem with the navigation magnetic tape is output. The accurate calculation and intelligent judgment of the length of the abnormal part of the magnetic tape are realized, the intelligent supervision under different walking speeds of AGV and different emergency situations is realized, when a serious emergency occurs, the AGV is controlled to stop, efficient and high agility are realized to prevent AGV from colliding with materials, deviating and the like, the safety of the scene is ensured, the intelligent degree and safety of the application are greatly improved, and the application scenarios of the application are further expanded.

The invention discloses a message forwarding method based on semantic perception, electronic equipment and a storage medium. The method comprises the steps of obtaining a business semantic attribute corresponding to a target data stream; determining a corresponding semantic intention based on the business semantic attribute; compiling the semantic intention into a segment routing IPv6 policy; and packaging and forwarding the target data flow according to the segment routing IPv6 strategy. According to the technical scheme, the service semantic attribute originating from the information model is deeply fused with an SRv6 forwarding mechanism, so that the network is spanned from network feature perception to service semantic perception, the problem that the existing SRv6 network cannot perceive and understand the connotation of the data flow service, so that the refined and adaptive forwarding service is difficult to provide is effectively solved, and the service quality of the SRv6 network is improved. The pertinence, the flexibility and the network resource utilization rate of message forwarding are effectively improved, and the intelligent adaptive capacity of a network to a complex service scene is further remarkably improved.