1065 results about "Middleware" patented technology

The invention provides a cross-protocol identification data intelligent analysis middleware method and system. The method comprises the following steps: taking multiple industrial communication protocol identifiers in advance to form a metadata set, and constructing a protocol feature element model library containing a non-standard protocol feature template; a programmable logic device is introduced, physical layer signal waveform characteristics are matched, and corresponding communication protocol stacks are dynamically switched at a hardware level according to a matching result; receiving a communication data stream through an electric domain processing unit of the programmable logic device, and generating a protocol analysis logic sequence in combination with a state transition rule of the meta-model library and a mode matching rule of the protocol stack; performing combined operation on the structured feature template and the analysis logic sequence to generate an executable cross-protocol data analysis rule; and when unknown protocol characteristics are detected, triggering dynamic reconstruction of the template, so that the analysis rule is adapted to a newly added protocol. According to the technical scheme provided by the invention, the protocol compatibility development cost in an industrial multi-protocol scene is remarkably reduced.

The invention relates to the technical field of mine production operation management, in particular to a mine production operation intelligent decision-making system based on multi-source heterogeneous data fusion. A data preprocessing module; a data fusion modeling module; an intelligent decision module; and a decision execution feedback module. In the scheme, an edge computing terminal is deployed through a data acquisition unit, a multimode communication technology is integrated, data of an underground sensor, electromechanical equipment and the like are accessed in real time, and the data transmission reliability is ensured through a communication quality evaluation formula; the business system interconnection unit maps heterogeneous fields of systems such as ERP, WMS and the like into global unified business keys by means of semantic middleware, and semantic ambiguity is eliminated. The data preprocessing module integrates the dispersed data into a standardized data set through intelligent cleaning, format conversion and three-dimensional association, and provides data support for decision making.

The invention relates to the technical field of distributed response, in particular to a distributed message dynamic response method based on websocket. The method comprises the following steps: constructing a distributed message service cluster to configure a websocket communication module, message middleware and a client for each service node, and providing a unified service access point to the outside through an Nginx load balancer, so as to automatically register and subscribe a global control theme to the message middleware and form a hierarchical theme subscription structure; when the client initiates a connection request, the connection is distributed and a secure channel is established; the client sends a service request message, packages the service request message into a standardized message format, and associates session information of the client at the same time; and receiving the session message, performing intelligent filtering, generating a response result, and pushing the response result to the client in real time. According to the invention, efficient processing and real-time response of messages in a distributed environment can be realized.

The invention discloses an intelligent monitoring method for a hydrogeological environment, and the method comprises the steps: 1, constructing a space-air-ground integrated sensing network, and dynamically adjusting the monitoring frequency through a self-adaptive sampling strategy; 2, developing cross-platform data middleware, realizing conversion from multi-protocol data to a WaterML 2.0 standard, constructing an anomaly detection model in combination with a deep residual network, and correcting regional parameter deviation; 3, designing a hybrid fusion architecture, processing time sequence data by using an improved Transform at a bottom layer to capture long-term dependence, constructing a graph neural network at a top layer to fuse spatial connectivity, and outputting a prediction result with a confidence interval through an attention mechanism and a Bayesian network; step 4, establishing an edge-cloud hierarchical computing system, deploying lightweight model real-time early warning at an edge end, integrating complex models such as 3D geological modeling at the cloud end to generate a regional report, and adopting federal learning cooperative training and embedding differential privacy protection; and 5, developing a three-dimensional geological visualization platform and an intelligent decision-making system.

The invention provides an industrial control method and system, a medium, equipment and a program product. The method comprises the following steps: generating a control instruction by using a logic control module; the control instruction is transmitted to the equipment driving module; an equipment driving module is used for driving execution equipment to execute corresponding operation of the control instruction; wherein the logic control module and the equipment driving module are physically isolated or isolated by using middleware. In other words, independent operation between the logic control module and the equipment driving module is realized through physical isolation or middleware isolation, so that tasks are ensured to be mutually independent and do not interfere with each other, and the stability and safety of the system are improved. In addition, resource competition between the logic control module and the device driving module can be reduced, delay and conflicts are reduced, and real-time performance is improved. In addition, the logic control module and the equipment driving module can be independently developed, tested and optimized, so that the operation and maintenance cost is reduced.

The invention belongs to the technical field of wireless household electrical appliance intelligence, and discloses a wireless household electrical appliance intelligent identification and analysis method and system based on multi-protocol fusion, which can automatically extract new equipment protocol features through centralized middleware scheduling and adaptive learning mechanism of a protocol adaptation engine unit in combination with dynamic model training of an AI identification center unit. Generating a temporary adaptive interface and updating the protocol template; the dynamic protocol library supports OTA updating, a novel protocol and unknown equipment can be adapted without manual configuration, and the defects that the number of traditional system equipment is increased, and protocol type expansion is blocked are overcome; the intelligent optimization module dynamically adjusts the bandwidth priority and the data reporting frequency based on reinforcement learning and behavior prediction, guarantees smooth communication of key equipment in a high-concurrency scene, reduces standby power consumption of idle equipment, solves the problems of high-concurrency delay and high energy consumption of a traditional system, and improves the system reliability. And double improvement of identification reliability and system energy efficiency is realized.

The invention relates to the cross technical field of artificial intelligence and data retrieval, and particularly provides an RAG question and answer optimization method and device.Firstly, original knowledge documents of various formats and natural language query of a user are received on an input layer, then a knowledge base construction module and a knowledge retrieval module are arranged on a processing layer, and a knowledge retrieval module is arranged on the processing layer; the middleware layer is provided with an MCP Server module and a vector database, the MCP Server module is a standard interface agent, and the vector database is a distributed storage engine for efficient approximate nearest neighbor search and mixed retrieval; and finally, deploying an LLM generation module at an output layer for generating a final answer based on the retrieved enhanced context. Compared with the prior art, the method has the advantages that irrelevant or low-signal-to-noise-ratio knowledge contacted by a large language model (LLM) can be effectively reduced, and the accuracy, the reliability and the practicability of knowledge base questions and answers are comprehensively improved.

The invention discloses an intelligent agent platform and information system integration compatible method and equipment, belongs to the technical field of digital transformation, and aims to overcome the defects of high cost, long development period, difficulty in maintenance and the like of an existing intelligent agent platform and information system integration scheme. And dynamic upgrading of an enterprise system and access of a new system are difficult to adapt. The method comprises the following steps: constructing dynamic protocol conversion middleware supporting multiple protocols, and converting heterogeneous protocol data through the dynamic protocol conversion middleware to obtain standardized data; performing format conversion on the standardized data through a hierarchical data converter to obtain readable data; respectively transmitting the high-frequency calling data and the low-frequency calling data to an intelligent agent platform through a hybrid communication bus; wherein enterprise sensitive data in the readable data is transmitted to the intelligent agent platform in a token form after being subjected to desensitization operation and / or encryption operation.

The invention provides an intelligent progress management and control method and system for information engineering supervision, and relates to the technical field of information, and the method comprises the steps: pushing early warning information to a first-party system and a second-party system through message middleware, collecting a feedback state to complete closed-loop cooperative processing, and updating a processing result to a central database; based on the central database, combining historical project data, performing pattern recognition analysis to extract a progress deviation rule, and dynamically optimizing a plan node threshold and buffer time of a subsequent stage according to the progress deviation rule to obtain an optimization strategy; and on the basis of the optimization strategy, constructing a configurable progress management and control template library, so as to quickly adapt and generate a corresponding progress management and control node and an early warning threshold value in the new-type project. According to the invention, a full-process closed-loop management system from data integration, intelligent optimization to dynamic adaptation is constructed, and the fundamental transformation of project progress management and control from passive response to active prediction and from experience driving to data driving is realized.

The invention provides an SOA architecture vehicle-cloud integrated communication middleware system and a deployment method, and the system comprises a unified communication interface module which is used for providing a Topic-based publishing / subscribing model communication interface for an application layer, and providing a Method-based client / server model remote service calling interface; the communication abstraction and adaptation module is used for performing unified abstraction and protocol conversion on various heterogeneous physical buses and communication protocols in the vehicle and among vehicle clouds; the system configuration and management module is used for carrying out centralized configuration and management on definition of communication interfaces, mapping relations of communication channels and system operation parameters; the system receives a communication request of an application layer through the unified communication interface module, obtains configuration information through the system configuration and management module, and adapts the communication request to a specific physical bus or a network protocol for transmission through the communication abstraction and adaptation module. According to the system and the deployment method provided by the invention, the service logic of the application layer and the complex communication of the bottom layer are thoroughly decoupled.

The invention belongs to the technical field of fan arrangement, and discloses a fan point location automatic arrangement method and system based on artificial intelligence, and the method comprises the steps: firstly receiving a plurality of spatial constraint layers and deployment parameters, and unifying the coordinates; a conflict relation graph is constructed based on the processed constraint layers, nodes of the graph are different constraint layers, and edges are conflict strength among constraints; inputting the map into a pre-training map attention network, and reasoning to obtain a conflict slow-release factor which quantifies a constraint relaxation degree; then the factors are fed back to a point location search algorithm, and candidate point locations are evaluated by using a scoring function of the fusion factors; and finally, outputting a final arrangement scheme according to a scoring result. According to the method, through artificial intelligence middleware, such as a graph attention network, an artificial intelligence-based search algorithm and the like, the problem of excessive region deletion of a traditional method is solved, and the area and arrangement reasonability of a deployable region are improved.

The invention discloses an information acquisition system and method suitable for visually impaired people. The system comprises a hardware layer, a driving layer, an operating system layer, a middleware layer and an application layer which are sequentially in communication connection through interfaces. The application layer comprises a voice interaction module, a large model integration module and a braille conversion module; the hardware layer is used for collecting a voice input instruction and outputting a braille character sequence and a voice output result; the voice interaction module is used for converting a voice input instruction into a text input instruction and converting a text output result into a voice output result; the large model integration module is used for analyzing the text input instruction and generating a text output result; and the braille conversion module is used for converting the text output result into a braille character sequence, so that a hardware layer outputs the braille character sequence based on a timestamp alignment technology. Therefore, based on powerful semantic understanding and information retrieval of the large model integration module, accurate information acquisition is realized, and a five-layer decoupling architecture is adopted, so that the convenience of later system maintenance is improved.

The invention relates to the field of data processing and information technology operation and maintenance, and discloses an intelligent operation and maintenance decision-making method and system based on multivariate heterogeneous data fusion. Comprising the following steps: constructing a dynamic causal graph reflecting a system state and an environmental factor causal relationship based on a causal structure learning algorithm; constructing a multi-agent game decision model based on the dynamic causal diagram, and respectively setting a global operation and maintenance target and a component local demand as a leader strategy and a follower strategy of the game; and solving game equilibrium by using multi-agent reinforcement learning, and outputting an optimal joint operation and maintenance decision instruction. The system is composed of a data acquisition preprocessing module, a multi-modal feature fusion module, a causal structure learning module, a game decision solving module and an execution monitoring module. According to the method, the causal inference and the game theory are fused, so that the causal logic can be accurately extracted, the decision robustness and interpretability are improved, and the global optimal collaborative configuration is realized.

The invention relates to the technical field of tax data interaction, and discloses a multi-interface data interaction method and system for a tax system. The method comprises the following steps: dynamically accessing a multi-source heterogeneous tax data interface, wherein the multi-source heterogeneous tax data interface at least comprises an HTTP protocol interface, a message queue interface and a block chain node interface; uniformly decoding the original tax messages through a protocol adaptation layer to generate a standard middleware data format; calling a semantic mapping engine to execute field-level business alignment on the standard middleware data format, and outputting a semantic verification result meeting the tax industry standard; carrying out encryption channel selection on the semantic verification result based on a secure routing strategy, and generating a cross-domain transmission instruction; and triggering a real-time synchronization component to execute data distribution according to the cross-domain transmission instruction, and activating a transaction rollback operation when synchronization is abnormal. According to the method, the flexibility, accuracy and safety of tax data interaction can be improved.

The invention is suitable for the technical field of system fault monitoring, and provides a system fault monitoring method based on log real-time synchronization and active scanning, and the method comprises the steps: capturing a log increment in real time through a file system event monitoring trigger, analyzing a newly added log content, and synchronizing the log increment and the newly added log content to message middleware; a distributed active scanning unit is configured, the scanning period is dynamically adjusted, and node resources are expanded and shrunk based on the containerization technology; integrating the abnormal data of the user side, the interface state data of the server side and the log stream data, and constructing a multi-modal data set; a normalized error report increment is calculated based on a 30-minute sliding window, and a pre-processing instruction is generated in combination with a random forest algorithm and Bayesian optimization; executing corresponding operation according to the pre-processing instruction; according to the method, a traditional passive mode is broken through, the fault monitoring confidence coefficient is remarkably higher than that of an industry standard, sub-health perception and active blocking of a high-concurrency scene are supported, and a real-time and accurate intelligent operation and maintenance solution is provided for a complex system.

The invention provides an event processing method, system and equipment based on Internet of Things equipment and a medium, and belongs to the technical field of Internet of Things. The method comprises the following steps: receiving an Internet of Things equipment message through an MQTT Broker, identifying an event type according to a theme, and distributing the event type to a corresponding thread pool; concurrently analyzing the JSON load in each thread pool, and converting the JSON load into a structured data object; caching the data in a batch processing queue in a classified manner, and triggering batch processing based on a queue state; extracting batch data, generating an optimized SQL statement, executing writing, and processing exceptions; screening data based on a routing rule and asynchronously forwarding the data to message middleware; meanwhile, processing parameters are dynamically adjusted according to the equipment state data and the system load. According to the invention, efficient processing of Internet of Things equipment events is realized, and the system throughput, the resource utilization rate and the data processing real-time performance are improved.

The invention discloses a data mapping method and system for tracking information during message conversion of different tracking protocols, and the method comprises the steps: respectively configuring a tracking application agent unit and a tracking application collection unit of corresponding types for link tracking applications of different protocol types; the tracking application collection unit is implanted into a tracking application program of a corresponding protocol type in a probe non-intrusive manner to collect tracking information of the micro-service, and the tracking application collection unit generates a message of the corresponding protocol type from the collected tracking information; the kafka middleware receives the messages of different protocol types sent by each tracking application collection unit, and uniformly generates kafka messages of different themes; the collecting and summarizing unit consumes kafka messages to distinguish messages of different protocol types according to different themes, uniformly converts the messages of different protocol types into messages of one protocol type, calculates to obtain call chain information, and stores the call chain information to the storage unit. Manual intervention is reduced, migration cost is reduced, migration time is shortened, and meanwhile accuracy and integrity of data are guaranteed.

The invention provides a number card distribution system based on message middleware, relates to the field of data management, and solves the technical problem of high data storage security risk of an existing number card distribution system. The system comprises a message center module which is used for processing asynchronous communication and data transmission in the system by adopting a distributed message middleware cluster; the data security module is used for managing distribution data of each region by adopting a data fragmentation storage mechanism; and the demand prediction module is used for predicting the number card demand quantity of the next period according to the sales data and the demographic data of each region, and guiding the formulation of a sales strategy of the next period. The method and the device are used in the whole-process management process of the number card distribution service.

The invention discloses a water conservancy project safety monitoring intelligent edge computing terminal, system and method integrated with AI recognition. The terminal comprises an acquisition interface unit, a network communication unit, a data storage unit, IOT middleware and a central processing unit. The central processing unit comprises a data analysis module, an AI identification module and an alarm generation module; the data analysis module performs time sequence integrity, logic rationality and multi-source consistency verification on the preprocessed structured data; the AI identification module dynamically schedules NPU and GPU resources to run a lightweight AI video identification model to realize target all-weather detection and target identification; and when the data analysis module judges that the sensor monitors that the data is wrong or abnormal, the AI identification module is triggered to perform recheck verification, and the alarm generation module is started according to a verification judgment result. According to the invention, through multi-source data association verification and a hierarchical multi-mode early warning algorithm, more accurate anomaly identification and risk assessment of hydraulic engineering safety are realized.

The invention relates to a multi-source data fusion type passenger station intelligent management and control method and system based on AI drive, and belongs to the technical field of infrastructure intelligent management, and the intelligent management and control method comprises the steps: obtaining video stream data through an intelligent camera, obtaining environment monitoring data through an Internet of Things sensor, and obtaining ticket checking gate log data through a business system interface. And performing edge calculation processing on the video stream data to generate structured metadata. And according to the space grid ID alignment data, aggregating and generating a fusion feature matrix according to a time window. And calling a passenger flow prediction model to process the fused feature matrix, and outputting a passenger flow prediction value and a confidence score. The predicted value is compared with a dynamic threshold, and a standardized decision event is generated when the threshold is exceeded. And a linkage task package is generated through rule engine matching, the linkage task package is distributed to each device through message middleware to execute cooperative operation, and model parameters and threshold library data are updated according to a device response message. The management and control requirements of large-scale passenger flow in the passenger station can be effectively met.

The invention relates to the technical field of intelligent driving control, in particular to a multi-camera acquisition system software synchronization method, which comprises the following steps of: distributing an independent acquisition thread and a global annular cache for each camera; each acquisition thread is blocked to wait for a new image to arrive, the image is stored in a corresponding annular cache, and a timestamp is updated; traversing the annular caches of the other cameras by taking the timestamp of one camera as a reference, and searching the image frame with the closest timestamp; whether the time deviation is smaller than a preset threshold value or not is judged, and if all the cameras meet the synchronization condition, a semaphore awakening algorithm processing thread is sent to read the synchronized image data from all the annular caches for processing. According to the method, the synchronization of the multi-camera data is realized on the basis of multiple threads and a semaphore mechanism which are originally provided by the system, the dependence on a complex middleware software framework is avoided, additional hardware synchronization equipment and protocols do not need to be configured, and the scheme has very outstanding advantages on an embedded platform with limited hardware performance.

The invention belongs to the technical field of aviation airborne system design, and provides a helicopter airborne system-oriented novel software architecture and a construction method thereof, and the architecture comprises a hardware abstraction layer, a framework resource layer, an intelligent platform service layer and an application software layer from bottom to top. And the hardware abstraction layer realizes decoupling of hardware and basic software of an operating system. The framework resource layer supports operation of a hybrid key operating system, supports and isolates tasks and application programs with different key levels, software bases and computing power requirements, and provides basic computing communication resources and AI computing power resources. The intelligent platform service layer comprises middleware, a servitization function unit and a servitization management unit, and the servitization function unit comprises atomic services and enhanced services. And the application layer interacts with the intelligent platform service layer and is decoupled from a bottom software and hardware environment. The framework is suitable for unmanned / manned helicopters, and generalization of platform support and maximum reuse of software assets are achieved.

The embodiment of the invention provides a tag data processing method, RFID middleware and a storage medium. The method comprises the following steps: receiving and caching tag data of a plurality of tags; compressing the label data according to a predetermined compression mode to obtain compressed data; wherein the compression mode is determined according to a data compression level and a label inventory rate; and sending the compressed data. According to the embodiment of the invention, the data processing efficiency is improved, the equipment resource occupancy rate, the data traffic and the bandwidth occupancy of network transmission of middleware at a high inventory rate are greatly reduced, and meanwhile, the mass data processing pressure of an upper platform is reduced. According to the embodiment of the invention, the platform side can receive total label data, and algorithm application development is facilitated. In addition, according to the embodiment of the invention, the packet number and the data compression level are adjusted according to different service requirements, and the method is suitable for service scene requirements with different data volume and time delay sensitivity.

The invention provides a message sorting method and device, electronic equipment and a program product, original messages are obtained through a distribution thread pool, the messages of the same business process are distributed to the same to-be-sorted queue, a working thread of the sorting thread pool reads the messages and stores the messages in a thread local cache set, the sendability is judged based on the dependency relationship of the messages in the business process, and the message sorting efficiency is improved. The messages meeting the conditions are sent to the subscription queue, and the messages not meeting the conditions are reserved in the cache. According to the mechanism, the problem of disorder of messages of the same service caused by multiple switches and network delay of message middleware is effectively solved, and data inconsistency and service abnormity are avoided; unified sorting logic replaces repeated development of subscribers, so that the system complexity is reduced; through thread pool division, local cache storage and a cache strategy of messages which do not meet conditions, the interaction overhead is reduced, the message orderliness and low delay requirements are considered in a high-frequency transaction scene, and the processing throughput, the real-time performance and the resource utilization rate under high concurrency are improved.

The invention discloses an agent multi-role cooperation method for an electric power two-ticket system, which is characterized in that each sub-agent is connected through message middleware, and efficient and stable communication and cooperation among the sub-agents are realized; through a multi-role agent arrangement mechanism, the problems of low efficiency and insufficient accuracy of a traditional electric power two-ticket system in links of operation ticket generation, auditing, abnormal ticket detection and the like are effectively solved. The semantic consensus memory module design solves the problem that information sharing and understanding are inconsistent in the multi-agent cooperation process. In a traditional multi-agent collaboration system, all agents are lack of an effective information interaction and sharing mechanism, so that collaboration efficiency is low, and misunderstanding and conflicts are prone to occurring.

The invention discloses an innovative agent, a device and a computer readable medium, and relates to the technical field of artificial intelligence. The innovative agent depends on an innovative middleware comprising an innovative knowledge module and an innovative method module, an integrated man-machine interaction module, a search enhancement module and a decision generation module; in combination with innovation knowledge and an innovation method library, a man-machine interaction module understands user demands and plans tasks, a search enhancement module is utilized to generate diversified candidate schemes, a decision generation module comprehensively evaluates and optimizes the schemes, it is ensured that achievements meeting innovation degree requirements are output according to an Azilshuller test standard, and the innovation process is completed. The key problems that the innovation process depends on manpower, the efficiency is low, the effect is difficult to quantitatively evaluate and the self-adaptive iteration capability is lacked are solved, the problems that the innovation capability of a general agent is lacked, independent innovation cannot be carried out, the innovation capability evaluation cannot be realized and the like are also solved, and the intelligent level and the output quality of the innovation activity are remarkably improved.

A communication-middleware-implemented architecture system and control method applicable to an automatic parking planning and control algorithm. By using an SOA concept to perform service-oriented division on data conversion logic, and by optimizing the real-time performance of software by means of EventLoop and dynamic thread pool technology, a high-performance general-purpose middleware solution compatible with a plurality of vendor perception solutions is implemented to ensure the decoupling of an automatic parking algorithm from upstream perception data, such that a vendor can freely access, in the form of a standard part, middleware designed in the present application, thereby greatly shortening a vehicle model adaptation period and reducing the mass production costs for automatic parking.