405 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 relates to the field of byte code unshelling storage, in particular to a byte code storage method and device of an Android unshelling machine and computer equipment. The method comprises the following steps: monitoring all application programs in a system in real time, and carrying out pseudo-call dynamic class loading to generate byte code structure feature information; performing service module identification on the byte code structure feature information, and performing module security sensitivity quantification so as to obtain a security sensitivity quantized value of each service module; based on the security sensitive quantized value of each service module, performing byte code symmetric encryption and confusion encryption on the multiple application program service modules so as to obtain a normalized module encryption code and a confusion encryption compression code; and carrying out code-by-code independent packaging processing on the normalized module encryption code and the confusion encryption compression code, and carrying out distributed storage so as to construct a distributed encryption unit storage structure. According to the invention, complete and efficient shelling preservation is realized.

The invention relates to the field of heat supply heat load operation adjustment, and provides a continuous optimization heat supply load prediction method and system based on big data analysis learning, and the method comprises the steps: S1, configuring a data interface on a real-time library service module to receive real-time and historical operation data, the operation data comprises meteorological information data, heat exchange station heat load and room temperature qualification rate; and S2, preprocessing the collected operation data through a data processing module integrated on the heat supply platform service module, and analyzing the preprocessed operation data through an analysis algorithm stored in a relation module to determine a predicted heat load value of a next control period. The heat supply platform is combined, the big data analysis technology is used for learning and analyzing historical heat supply network operation data, proper correction and adjustment are carried out, the heat load of the heat supply system is effectively predicted, the method is closely combined with actual operation, prediction accuracy is remarkably improved, the operation process is simplified, energy use is optimized, and the operation efficiency and the system response speed are improved.

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 high-reliability precise time service device, and particularly relates to the field of precise time service, and the device comprises a GNSS antenna, a Beidou satellite receiver, a main control module, a rubidium atomic frequency standard module, a frequency distribution module, a time code generation module, a network time service module, a display control module and a power module. Standard time signals are obtained through the Beidou satellite receiver, time calibration and taming are carried out through the rubidium atomic frequency standard module, and it is ensured that the output time signals and standard time are kept synchronous; the frequency distribution module distributes and amplifies a 10MHz standard frequency signal output by the rubidium clock and then divides the 10MHz standard frequency signal into multiple paths for output; the time code generation module completes 1pps and B code signals; the network time service module provides standard time information generated by the equipment to a computer with a time service requirement in a network by using an NTP standard network time service protocol; and the power supply module provides conversion from 220V to direct current through AC / DC conversion, provides power supply for each functional module and controls the power-on sequence.

The invention discloses an equipment fault diagnosis method and system, a storage medium and an electronic device, and relates to the technical field of industrial automation, and the equipment fault diagnosis method comprises the steps: determining a target service instance which is distributed when equipment registration service is completed for current equipment in a basic service module; a target service module to which the service instance belongs is utilized to analyze device data of the current device, whether the current device has a fault is determined according to an analysis result, the target service module belongs to the upper layer service module, and the target service module belongs to the lower layer service module. The upper-layer service module at least comprises one of an equipment state acquisition service module, an asynchronous message service module, an equipment trend service module, a historical data persistence service module and an equipment state analysis service module, and by adopting the technical scheme, the technical problem of low equipment fault diagnosis efficiency is solved.

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 embodiment of the present invention provides a method and system based on GPU resource pool reuse and scheduling, the method comprising: the resource scheduling layer of the GPU resource pool reuse and scheduling system obtains the GPU resource usage data of each business module in the PaaS business layer according to the preset time interval; the resource scheduling layer determines whether there is at least one business module that meets the GPU resource scheduling conditions according to the GPU resource usage data of each business module obtained at each acquisition moment; if there is a business module that meets the GPU resource scheduling conditions, the GPU resources are scheduled according to the priority of the business module and the preset scheduling strategy, so that the business module after the GPU resources are scheduled adopts the new GPU resources for execution. The embodiment of the present invention provides a method based on GPU resource pool reuse and scheduling, which not only improves the utilization efficiency of GPU resources, but also ensures the execution performance of the business module.

The invention relates to a cultural relic protection monitoring and early warning method and system, a storage medium and an intelligent terminal, and relates to the technical field of cultural relic protection monitoring, and the method comprises the steps: obtaining the monitoring indication information of a user; inputting the monitoring indication information to a preset user interaction layer to obtain real-time cultural relic detection information; the historical relic detection information is input into a preset business logic layer to obtain an abnormal comparison result, the business logic layer is connected with a preset data storage layer to call the historical relic detection information, and the data storage layer stores the historical relic detection information. The data storage layer is connected with a preset basic service layer to call corresponding service module information; and outputting preset early warning information according to the abnormal comparison result based on the business logic layer to perform protection early warning processing on the cultural relics. The method has the effect of improving the protection efficiency of the immovable cultural relics.

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 a data migration method and device, a storage medium and a computer program product. The method comprises the following steps: acquiring an initial data set of a plurality of service modules in a service system to be migrated, the plurality of service modules being function modules obtained by splitting according to a plurality of functions provided by the service system; determining the similarity among the service modules according to the initial data set of each service module, and clustering the plurality of service modules according to the similarity to obtain a plurality of clusters; and for each clustering cluster, performing dimension reduction processing on the initial data set of each service module in the clustering cluster to obtain a target data set of each service module, and migrating the target data set of each service module in the clustering cluster. According to the method and the device, the technical problem of data missing and inconsistency of dimension-reduced data due to the fact that the dependency relationship between the business modules to which the data belong is not considered when dimension-reduced migration is carried out on a large-scale data set in the prior art is 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.

The invention provides a dialogue method and device based on a large language model, a medium and equipment, and relates to the field of large language models and the field of financial science and technology. The method comprises the following steps: firstly, acquiring a current input instruction and context information of a user in a dialog box, and sensing the context information of the user by utilizing a context sensing module; then inputting the sensing result and the current input instruction into a large language model for analysis to obtain a target demand, and determining a target function corresponding to the target demand in a pre-constructed business function knowledge graph by using the large language model; and finally, determining a target service module corresponding to the target demand based on the large language model, calling the target service module to generate response information according to an execution result of the target function, and returning the response information to the user in a dialog box. According to the embodiment, the dialogue accuracy and naturalness are remarkably improved, the user experience is enhanced, and meanwhile the interaction quality and efficiency are greatly 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 relates to the technical field of aviation, in particular to an additional service management method and system, a storage medium and electronic equipment, and the method comprises the steps: configuring an additional service product rule, including configuring an additional service module needing to be displayed by an additional service product and configuring a page function needing to be displayed by the additional service module; the additional service product rule is loaded, and the additional service product rule is analyzed; and generating an additional service management page according to an analysis result. According to the method, the configuration processes of various additional service products are integrated and unified, and the generated additional service management page enables a user to configure and publish the additional service products more conveniently and quickly through an operation interface.

The invention relates to the technical field of digital oil fields, in particular to an oil field digital twin station operation optimization method and system based on intelligent digitization. The intelligent digital oil field digital twin station operation optimization method comprises an intelligent digital base technology, a multi-parameter optimization technology and production parameter analysis. The intelligent digital base technology comprises an intelligent oil field station digital twin one-key optimization module, an intelligent digital base module and an Internet of Things edge service module. The comprehensive optimization capability is that only specific parameters or equipment can be optimized in the prior art, but the comprehensive optimization can be carried out on multiple aspects of the oil field station yard, including air door setting, production indexes, combustor matching, safety alarm, energy-saving mode and the like; the comprehensive optimization capability can significantly improve the overall efficiency and production benefits of the system, not just optimization of a single parameter.

The embodiment of the invention provides a Beidou high-precision time synchronization time service protection isolation method and system, and belongs to the technical field of power system time synchronization. According to the invention, the Beidou time service module is integrated; configuring a time synchronization service according to the Beidou time service module; creating a communication domain; according to the communication domain, setting integrity check; and performing time synchronization monitoring according to the integrity check and the time synchronization service to complete time service protection isolation. The method can be suitable for complex distributed system environments with high requirements on time synchronization, such as a smart grid, improves the operation efficiency and reliability of a power system, and provides important technical support for the development of the smart grid.

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 invention provides an elastic distributed message queue service system, which comprises a front-end service module, a back-end service module and a service factory, and is characterized in that the front-end service module is used for providing a visual interface of a message queue service product so that a user can perform management operation on the message queue service product on the visual interface; the corresponding operation instruction is sent to a back-end service module; the back-end service module is used for carrying out back-end setting according to the operation instruction and sending the operation instruction to the service factory; the service factory is used for creating virtual machines on nodes of the k8s cluster and creating a Rocket MQ 5.0 service on the created virtual machines if the received operation instruction is open, and increasing or reducing the number of the virtual machines so as to increase or reduce the scale of the Rocket MQ service cluster if the received operation instruction is capacity expansion and shrinkage; and if the operation instruction is a stop instruction, destroying the virtual machine where the Rocket MQ service cluster is located and the Rocket MQ 5.0 service created on the virtual machine. According to the invention, the capacity can be flexibly expanded and shrunk.

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.