278 results about "Service module" patented technology

The invention relates to the technical field of road condition intelligent perception and application, in particular to a road condition adaptive topology perception and application system and method. A condition cluster perception module monitors road condition parameters in real time; the data transmission communication module realizes differential data transmission strategies; a road section dynamic risk grade evaluation module calculates a road section risk index and grade according to the road structural state parameters and a risk evaluation model; the node adjustment and resource allocation module adjusts the activation state and sampling frequency of each sensor according to the road section risk level, simulates and verifies the implementation effect of a resource allocation scheme under different road section risk levels by using a constructed road system digital twin model, and optimizes the resource allocation scheme by using a multi-objective optimization algorithm; the application service module converts the risk level into a specific service action; the cooperative operation of the modules realizes the flexible allocation of road condition perception, communication and computing resources, and improves the utilization efficiency of the resources and the service efficiency of the system.

The invention discloses a BMC intrusion protection method and device, a BMC and computer equipment. The method is applied to the BMC in the computer equipment. The BMC comprises a service module and a security detection module which are in communication isolation, and storage media accessed by the service module and the security detection module are isolated. The business module is used for providing a management function for parts in the computer equipment, and the security detection module is used for implementing security detection on the BMC. The method comprises the steps that the security detection module obtains data stored in the storage medium associated with the service module, analyzes the security situation of the data sensing service module, and obtains a security detection result. And when the security detection result indicates that the BMC suffers from the APT attack, restarting the BMC in a degraded starting mode. Through a deep defense scheme, namely on the basis of defense, intrusion detection capability is added to the BMC, a dynamic defense chain of defense, detection, degradation and recovery is formed, the APT attack resisting capability of the BMC is improved, and the BMC is ensured to be safe and credible.

The invention discloses a dialogue type GIS visual scene generation method and system based on an LLM large model. The method comprises the steps that S1, an AI intelligent dialogue processing module receives and analyzes a natural language instruction input by a user; s2, the AI capability service module carries out standardized parameter packaging on the key information through an LLM large model; s3, analyzing the input parameters by the GIS capability service module, judging whether the scene code is empty or not, if yes, executing a step S4, and if not, executing a step S5; s4, the GIS capability service module judges whether latitude and longitude coordinates are contained in the place or not; s5, the GIS capability service module implements corresponding operation according to the operation type; s6, the GIS capability service module stores the created or updated scene; and S7, the AI intelligent dialogue processing module answers the question and presents the map thumbnail of the created or updated scene. According to the invention, full-link intelligentization of natural language-geographic analysis-dynamic visualization is realized through a modular architecture driven by LLM.

The invention relates to the technical field of aerospace, in particular to low-altitude traffic flow airspace-oriented real-time planning, and provides a centimeter-level precision detection network covering a low-altitude airspace by integrating multi-dimensional data sources such as radar electromagnetic feature recognition, ADS-B (Automatic Dependent Surveillance-Broadcast) automatic monitoring, Beidou or GPS (Global Positioning System) space-time reference positioning and the like. The three-dimensional trajectory and motion situation of the aircraft are solved in real time, intelligent reconstruction of an airspace sector and adaptive optimization of a flight corridor are realized by adopting a dynamic programming algorithm driven by reinforcement learning based on the real-time pose data of the aircraft, and a flight conflict prediction model constructed by combining a space-time convolutional neural network is used for predicting the flight conflict. According to the method, potential risks can be pre-judged, an optimal avoidance path can be generated, full-process digital management and control from identity verification to airspace authorization can be realized by constructing an aircraft digital identity authentication system and a dynamic access control mechanism, and modules such as a three-dimensional navigation information service module, a low-altitude digital communication private network module and an intelligent early warning and warning system module are integrated. And the guarantee of full-life-cycle service is provided for the low-altitude aircraft.

This document relates to compilation of source code into services. One example method involves receiving input source code, identifying data dependencies in the input source code, and identifying immutability points in the input source code based at least on the data dependencies. The example method also involves converting at least some of the input source code occurring after the immutability points to one or more service modules.

The invention discloses a Beidou time service synchronous multi-source data fusion monitoring device, system and method, and aims to solve the core problems of low meteorological factor-ground surface settlement causal correlation analysis precision and poor early warning reliability caused by multi-source data time asynchronization due to sensor clock independence. The device directly drives each sensor in the multi-source data acquisition module to perform physical-level synchronous acquisition through a hardware synchronous trigger pulse generated by the Beidou time service module, and ensures that settlement, weather and positioning data have the same timestamp at the source; and time axis calibration and dynamic weight fusion based on real-time data quality are carried out through the preprocessing module. The system integrates the devices, a cloud analysis model and an early warning engine. According to the invention, a closed loop from hardware-level synchronous acquisition, space-time alignment to intelligent analysis is realized, a multi-source data synchronization error is reduced from a second level to a millisecond level, and the accuracy and timeliness of water and soil conservation monitoring are remarkably improved.

Disclosed are a BMC intrusion protection method and apparatus, and a BMC and a computer device. The method is applied to a BMC in a computer device. The BMC comprises a service module and a security detection module, which are in communication isolation, wherein a storage medium accessed by the service module is isolated from a storage medium accessed by the security detection module; and the service module is used for providing a management function for components in a computer device, and the security detection module is used for carrying out security detection on the BMC. The method comprises: a security detection module acquiring data stored in a storage medium associated with a service module; analyzing the data and sensing the security situation of the service module, so as to obtain a security detection result; and when the security detection result indicates that a BMC has been subjected to an APT attack, restarting the BMC in a degraded start mode. A defense-in-depth scheme is used, namely, an intrusion detection capability has been added to a BMC on the basis of defense, so that a dynamic defense chain of defense, detection, degradation and recovery is formed, thereby enhancing the capability of the BMC to resist APT attacks and ensuring the security and trustworthiness of the BMC.

The invention provides an intelligent intelligent supervision system for civil aviation VoIP communication equipment, relates to the basic field of civil aviation air traffic control equipment, and solves the limitation problems of non-centralized supervision, imperfect supervision, non-autonomous supervision and the like existing in an existing supervision mode. The system comprises a system architecture module which adopts a layered modular design to construct a double-layer system comprising a top layer management architecture and a bottom layer operation architecture; the function service module comprises an equipment state monitoring unit, a risk assessment engine and an operation and maintenance management unit; the data processing architecture forms a multi-stage processing channel by a data acquisition layer, a data transmission layer, a data storage layer, a data calculation layer and a data application layer which are connected in sequence; the technical support system comprises a micro-service component group, a continuous integration platform and a security authentication module. The intelligent supervision network architecture of the VoIP communication equipment is subjected to brand-new autonomous design, transformation from passive response to active management is completed, and the supervision efficiency and the treatment efficiency are improved.

The invention provides a maritime emergency lifesaving comprehensive management system and method, and belongs to the technical field of software communication, the system comprises a guarding platform, a comprehensive processing platform and at least one application platform, the guarding platform is used for receiving rescue information sent by a user and sending the rescue information to the processing platform; the guarding platform comprises a short-wave guarding station, an ultra-short-wave guarding station and at least one satellite ground station which are connected with the communication bearing network; the comprehensive processing platform is connected with the guarding platform through a communication bearing network; the comprehensive processing platform comprises a comprehensive processing module and a backup service module, and the comprehensive processing module is used for performing format conversion on the rescue information to obtain alarm information and distributing the alarm information to each application platform based on the distress position; the backup service module is used for storing alarm information; and each application platform is in communication connection with the comprehensive processing platform and is used for receiving the alarm information and pushing the alarm information to the front-end display platform.

The invention discloses a smart park security system based on a GIS technology, and belongs to the technical field of security protection. Comprising a GIS basic service module, a security element plotting module, a basic element visualization module, a multi-source heterogeneous security information integration module, a data storage and management module, a depth feature extraction module, a model training and real-time reasoning module and a control response and verification module. And the GIS basic service module is used for providing a unified space reference and geographic information service and supporting coordinate conversion, space analysis and map rendering. Based on the unified space reference capability of the GIS basic service module and in combination with the GPS RTK positioning and Beidou dual-mode positioning of the security element plotting module, precise space association of the park security equipment is realized, the plotting position is precise, the real-time operation state of the equipment can be deeply bound with GIS coordinates, and a manager can intuitively master the dynamic state of the equipment through a map, so that the management efficiency is improved. The problems of fuzzy plotting and state disjunction of a traditional system are solved.

The invention discloses an energy-saving-oriented side-end service calling dormancy awakening control method and system, and the method comprises the steps: collecting the historical calling record of side-end service and the operation state data of associated construction equipment, and generating a business time sequence feature set; inputting the service time sequence feature set into a time sequence prediction model, and generating a dormancy periodic table with a time boundary; according to the dormancy periodic table, hardware-level dormancy control is triggered in the idle period, a dormancy control instruction is executed, and meanwhile the service running state before dormancy and a dormancy state identifier are recorded to a nonvolatile memory; and in a dormant state after the dormant control instruction is executed, when a data packet meeting a preset standard is identified, triggering an interrupt signal to recover core power supply, loading a historical operation state and a dormant state identifier from the nonvolatile memory, and generating a service module wake-up response result. By utilizing the embodiment of the invention, hardware-level energy-saving control and rapid state recovery can be realized, and the real-time response capability of service calling is ensured.

The invention discloses a new energy charging SaaS operation management method based on artificial intelligence. The method comprises the steps of collecting new energy charging facility data and generating a structured data set; constructing a charging state map to form a map structure sequence; inputting an improved space-time residual image convolutional network, and outputting an embedded vector; a price strategy is generated by combining a multi-source information input condition variational auto-encoder; inputting the equipment state embedded vector and the operation sequence into an improved Transform model, identifying the health state of the equipment and generating a maintenance suggestion; and packaging a final result into a service module, deploying the service module to an SaaS platform, and providing multi-end calling. The new energy charging SaaS operation management method is realized by fusing an improved space-time residual image convolutional network and introducing a Transform structure of a gating fusion mechanism.

The invention provides a cross-end servitization framework implementation method and device, electronic equipment and a storage medium. The method comprises the following steps of: dividing a service function of an application program into a plurality of plug-in type service modules according to a service domain, wherein each service module carries a plug-in description file for identifying a dependency relationship and version information; abstracting preset system functions into a system service interface set; establishing a service locator container, statically registering a core business module and a native implementation of a system service interface matched with the current operation platform; when it is detected that the to-be-called service module is not loaded, the plug-in manager downloads a corresponding plug-in package according to the plug-in description file; and analyzing the theme mark set based on the identifier and the system display mode in an interface rendering stage, generating interface style data, and providing the interface style data to a service module for interface rendering. Uniform system service interface abstraction can be achieved, interface version consistency and type safety are improved, and on-demand downloading and hot plug loading of the service modules are supported.

The invention discloses a berth positioning system and method based on video recognition, and relates to the technical field of intelligent transportation, and the system comprises a calibration module which generates berth calibration data based on a berth type, and stores the data to a cloud server; the edge calculation service module is configured to judge the spatial relationship between the vehicle and the berth through a berth type adaptive algorithm based on the real-time latitude and longitude coordinates of the inspection vehicle and the berth calibration data; and the vehicle identification module records license plate information when determining that the vehicle is in the berth, and actively snapshots an empty berth image when no vehicle is in the berth and uploads the empty berth image to the cloud. According to the scheme of the invention, the accuracy, environmental adaptability and long-term operation stability of parking state recognition can be remarkably improved, and a comprehensive solution with high robustness and low misjudgment rate is provided for urban intelligent parking management.

The invention relates to the technical field of intelligent gateways, in particular to a method and system for automatically expanding intelligent router plug-ins through LLM. The method comprises the steps that a user describes a plug-in function requirement of the intelligent router in a natural language through voice or text input equipment; and the cloud preprocessing service carries out character conversion processing on the voice data, carries out contradiction check and invalid information filtering on natural language requirements, extracts structured requirement information and inputs the structured requirement information to the cloud big language model. According to the intelligent router plug-in development method and system, the problems that in traditional intelligent router plug-in development, the manual intervention degree is high, the process is long and compatibility is insufficient are effectively solved by constructing an automatic system with the cloud large language model and the multi-service module cooperating. Through cooperation of multiple technical modules, a full-automatic process covering demand input, code generation, engineering integration, test verification and terminal deployment is constructed, and the intelligent router plug-in development efficiency and quality are remarkably improved.

Embodiments of the present application provide a plug-in loading method, device, medium and program product, the method comprising: in response to an operation instruction of a target plug-in, creating a trusted sandbox outside a main program associated with the target plug-in, the target plug-in being a plug-in of application software based on a trusted execution environment; configuring trusted execution environment parameters of the trusted sandbox, wherein the trusted execution environment parameters are used for starting the trusted sandbox; under the condition that the trusted sandbox is started, a plug-in service module associated with the target plug-in is loaded in the trusted sandbox, and the plug-in service module comprises a data interaction universal interface; and loading the target plug-in in the trusted sandbox to enable the target plug-in to perform data interaction with the main program through the data interaction universal interface during operation.

The invention discloses a file security level checking method, device, equipment, medium and product based on an API HOOK of a windows operating system, and relates to the field of computer software application, the method comprises the steps that a callback function is registered by utilizing a driving module, when the windows operating system creates a process, a created process ID is sent to a service module in a user mode in the callback function, and when the process is created, the service module in the user mode is used for checking the security level of the file; receiving a service completion message of the service module; in the service module, based on a dll injection mechanism, injecting a dll injection program of the API HOOK module into the memory space of the created process; after the dll injection program is injected, an API HOOK module is utilized to modify an entry address of a target process API, and the entry address points to a self-defined hook function; the target process is the created process; and when the application opens the file corresponding to the target process, calling the security level judgment logic of the hook function, and judging whether the user security level can open the file corresponding to the target process, thereby avoiding the problem of high-density file leakage.

The embodiment of the invention relates to the technical field of electronics, and discloses a universal hardware interface test system and method, a terminal, a medium and a product. In the invention, the universal hardware interface test system comprises the hardware service module and the data interaction module which are connected with each other, and the construction of the universal hardware interface test system is realized by using the two mutually independent modules, so that the universal hardware interface test system is divided into the two mutually independent modules, and the maintainability and the expandability of the system are improved; moreover, under the condition that the hardware service module is successfully connected with the to-be-tested hardware, the to-be-tested data is acquired through the hardware service module, the to-be-tested hardware is tested through the data interaction module according to the test instruction of the user, and the test result of the target test is generated, so that unified test on different hardware interfaces is realized, and the test efficiency is improved. Hardware in a project can be managed and verified in a centralized and unified mode conveniently, the efficiency of test verification is improved, and time needed by testing is saved.

The invention provides a service message processing method, electronic equipment, a storage medium and a program product. Service messages sent by the bottom cloud pool and message flow values are obtained, the service messages are classified, and the classified service messages and corresponding service type identifiers are obtained; determining a target business service module and a target message queue according to the business type identifier, and determining business priorities corresponding to the classified business messages; and determining a target node number of the service nodes in the target business service module according to the message traffic value and the business priority. Sending the classified service messages to a target message queue; sending the classified business messages to a target business service module through the target message queue; calling a service node through a target business service module, processing the classified business message, and generating a message processing result; sending the message processing result to the target service application; the problem that the processing efficiency is low when the service message is processed is solved.

The invention provides a multi-modal problem routing method under an AI platform, a medium and a system, and belongs to the technical field of multi-modal problem methods.Multi-modal input data are received, text and voice information are processed through a large language model, initial semantic features are extracted, and multi-modal input data are obtained; a multi-modal intention fusion model is adopted to process various types of modal data to calculate intention recognition confidence, an intention recognition gain vector is calculated based on a confidence difference value, user historical data is fused to generate a context feature vector, a problem graph containing intention and entity nodes is constructed with a user problem as the center, a routing path is optimized, and an intention recognition result is obtained. A lightweight model trained by knowledge distillation is used for intention enhancement processing to generate an optimized graph structure, and a final routing decision is determined in combination with a load state of a service module, so that the technical problem of low routing accuracy caused by insufficient inter-modal information fusion of multi-modal input data in a routing decision process is solved.

The invention relates to an intelligent highway electromechanical equipment fault early warning and maintenance system, belongs to the technical field of highway electromechanical equipment management, and mainly solves the problems of response lag, low operation and maintenance efficiency and lack of predictive maintenance capability of a traditional maintenance mode. According to the system, an electromechanical equipment full-life-cycle standing book is established through an equipment management module, operation data is collected in real time, equipment state data and historical maintenance data are analyzed through a statistical analysis module, predictive early warning and health degree evaluation results are generated, and a maintenance management module generates and dispatches a maintenance work order according to early warning information. The handheld terminal APP is used for field execution and feedback, the GIS service module realizes visual display of the geographic position and state of the equipment, and the inspection management module is responsible for issuing and receiving an inspection task. According to the system, intelligent early warning, efficient maintenance and whole-process closed-loop management of the electromechanical equipment can be realized, and the reliability and the operation and maintenance efficiency of the equipment are remarkably improved.

The invention discloses a sensor calibration parameter management system, method and device, a computer readable storage medium and a computer program product, and the system comprises a calibration parameter loading module which is used for reading and analyzing a sensor calibration parameter file to obtain a sensor calibration parameter; the calibration parameter registration module is used for registering the sensor calibration parameters into a predefined calibration parameter storage structure; and the external service module is used for externally providing sensor calibration parameter services based on a predefined calibration parameter storage structure, and the sensor calibration parameter services comprise at least one of a calibration parameter query service and a modification service. According to the method, the external parameter file of the vehicle end is read at a time and registered into the predefined storage structure, dynamic and efficient management of the external parameter file is achieved, the situation that the same parameter file needs to be loaded to multiple modules or processes is avoided, and development usability and efficiency are improved. In addition, external parameter addition, deletion, modification and checking functions are provided for the outside, so that downstream external parameter use is facilitated.

The invention relates to a power cable traveling wave fault detection method and system and a storage medium, and relates to the technical field of intelligent fault detection. The power cable traveling wave fault detection method comprises the following steps: acquiring and decomposing an original signal of a power cable to obtain a traveling wave sampling signal, and recording corresponding sampling time; analyzing and correcting clock data transmitted by the Beidou time service module to obtain an absolute time mark; associating and storing the traveling wave sampling signal and the absolute time mark according to the sampling time to generate a traveling wave time data pair; key feature parameters are extracted based on the traveling wave time data pair, and a time domain feature graph and a polar coordinate scatter diagram are generated; analyzing the time-domain characteristic diagram and the polar coordinate scatter diagram according to a preset fault judgment threshold interval, and judging the fault type of the traveling wave sampling signal; by combining the quantum time synchronization technology with multi-modal feature analysis, the fault positioning precision is improved, the false alarm rate is reduced, the detection speed is increased, and the cable fault identification problem is effectively solved.

The application provides a virtual modeling-based flight control ICD protocol simulation verification system and a flight control system, comprising a network topology modeling module, a virtual bus modeling service module, an ICD modeling service module, a processing algorithm modeling service module and an ICD simulation running monitoring module, and each module cooperatively realizes a full-process closed loop from ICD analysis to virtual bus simulation verification. The application completes network construction of the system by simulating the commonly used system network bus in the design stage, and in combination with the data processing algorithm, the business data interaction between the system nodes can be simulated in the system design front end, the ICD design problem is identified, the compatibility verification of the ICD and the hardware bus interface is completed in the design front end, the rework waste caused by the design mismatch problem is reduced, and the reliability and delivery efficiency of the system are improved.

The invention discloses a configuration verification method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring changed target configuration information from a configuration management center; judging whether the configuration verification mode is an increment verification mode or not; if the configuration verification mode is an incremental verification mode, determining a plurality of target service modules associated with the target configuration information; and verifying the plurality of target service modules to obtain a target verification result. Through the configuration verification method and device, the problem that the configuration verification efficiency is low due to the fact that configuration verification is achieved in a manual checking mode after configuration change and release in the related technology is solved.

The embodiment of the invention provides a service response method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the specific scheme is as follows: loading an object of a first code unit into a heap memory in response to starting initialization of an application program of a server, establishing a global table containing the corresponding relationship among the business identifiers of the business modules, the memory addresses of the objects of the first code units and the event callback functions, traversing the global table before the main function of the application program is executed, and binding the business identifiers of the same business module, the memory addresses of the objects and the event callback functions; and in response to the received service request, if the identifier of the service requested by the service request is the same as the first service identifier, calling an object of the first code unit corresponding to the first service identifier by calling a callback function corresponding to the first service identifier. By applying the scheme provided by the embodiment of the invention, the applicability of the mode of externally providing services in different operating systems can be improved.

Present embodiments disclose a connected services module that removably couples to a work vehicle. The connected services module includes a voltage sensor configured to output a voltage signal indicative of a voltage output of an electrical system of the work vehicle and a controller communicatively coupled to the voltage sensor. The controller includes a processer and a memory, and the controller is configured to receive the voltage signal from the voltage sensor, determine whether the work vehicle is operating in a first or second mode of operation based on the voltage output, determine a run time corresponding to a duration the work vehicle is operating in the second mode of operation, and output a run time signal indicative of the run time of the work vehicle.

The invention discloses a risk prediction method and device for an energy storage system, a medium and equipment. According to the method, the adaptive sampling strategy based on model-free offline learning is implemented on the preset edge platform, the monitoring data of the energy storage equipment are dynamically acquired, and then the time service module and the time protocol algorithm are used for performing time-space alignment processing on the data. And then, the processed data are input into a lightweight LSTM-GRU hybrid neural network model, and the model is optimized through sparsification of gating weights of LSTM and GRU units and adjustment of penalty terms of weight absolute values added in a loss function in a training process, so that real-time estimation of the state of the energy storage equipment cell is realized. And finally, in combination with the first monitoring data and the cell state estimation result, according to a preset electrochemical model and a three-dimensional thermal field reconstruction algorithm, predicting the thermal runaway risk possibly occurring in the energy storage system, thereby effectively solving the problem that the risk of the energy storage system cannot be accurately and efficiently predicted in the prior art.

The invention discloses a micro-service deployment method, which realizes dynamic switching between combined deployment and split deployment through single configuration, and solves the problems of high resource cost and rigid deployment mode in the traditional micro-service architecture. The system controls a deployment form through configuration parameters: in a merging mode, all service modules are packaged into a single application, interaction is realized through local calling, and the method is suitable for a resource limited scene; in the splitting mode, each module is independently deployed as a micro-service, dynamic discovery and remote calling are realized by means of a service registration center, and elastic expansion is supported. According to the scheme, interface uniqueness and component registration are guaranteed to be conflict-free through standardized interface definition and hierarchical component naming rules, and targeted verification is executed for different modes in the starting stage. According to the method, bimorphic deployment of the same set of codes is achieved, the hardware cost can be reduced by 50% or above through the merging mode, the resource utilization rate and the system availability are improved through the splitting mode, and the method is suitable for the full-scene requirement from small and medium-sized enterprises to a large distributed system.

The invention provides a flight control ICD protocol simulation verification system based on virtual modeling and a flight control system. The flight control ICD protocol simulation verification system comprises a network topology modeling module, a virtual bus modeling service module, an ICD modeling service module, a processing algorithm modeling service module and an ICD simulation operation monitoring module, and all the modules cooperate to achieve a whole-process closed loop from ICD analysis to virtual bus simulation verification. According to the method, network construction of the system is completed by virtually simulating a common system network bus in a design stage, service data interaction between system nodes can be simulated and ICD design problems can be identified at a system design front end by combining a data processing algorithm, compatibility verification of the ICD and a hardware bus interface is completed at the design front end, and the design efficiency is improved. Reworking waste caused by the design mismatching problem is reduced, and the reliability and delivery efficiency of the system are improved.