132 results about "Technical service" patented technology

The invention provides an electric power technology service guarantee supervision method, which comprises the steps of determining a matching degree evaluation criterion of an operation tool specification and a protection measure grade according to a real-time operation data set, and meanwhile, integrating a compliance deviation reason according to an out-of-plan repair judgment result to determine an operation rationality evaluation criterion; performing electric power risk grading analysis on the cascading failure prediction set, judging the existence condition of a high risk grade, and extracting transformer abnormal sign data to obtain a risk grade classification result; according to the flow difference degree of the optimized repair path and the initial repair operation step, the optimized path is integrated back to the real-time operation data set, and meanwhile, in combination with transformer abnormal sign data, an update operation guidance set is obtained; and generating a power operation visualization report according to the updated operation guidance set, verifying the applicable condition that the alarm is not directly started when the service standard process is deviated, and obtaining a final compliance judgment conclusion.

The invention relates to the technical field of natural language processing and deep learning matching recommendation, and discloses a supply and demand matching method for digital science and technology personalized services, which comprises the following steps: carrying out semantic understanding and analysis on a submitted technical long text by adopting a natural language large model, effectively extracting a core text of technical contents, and carrying out semantic analysis on the core text; and based on the text classification model, accurately delimiting industry field labels, thereby solving matching obstacles caused by cross-industry term differences. Precise extraction of clear numerical parameters and performance indexes in technical texts is realized by using a natural language large model, a refined demand text set is established, and deep semantic vectorization representation is performed through a word embedding model; through cosine similarity calculation and a screening rule based on industry labels, the matching accuracy and reliability of cross-industry technical services are greatly improved; based on an association weight mechanism of performance indexes, semantic similarity and performance index association degree are comprehensively considered, and the accuracy of matching recommendation results is optimized.

The invention provides a large model reasoning optimization method and system for operation and maintenance technical services, and the method comprises the steps: firstly obtaining a set comprising a plurality of to-be-processed operation and maintenance service requests, each to-be-processed operation and maintenance service request carrying operation and maintenance demand description information and an equipment operation scene identifier; performing priority dynamic calibration on operation and maintenance reasoning tasks based on the information, generating a priority list, deploying computing resources and operation and maintenance knowledge resources of large model reasoning according to the priority list and reasoning link requirements, forming a collaborative scheduling scheme, configuring a reasoning process according to the collaborative scheduling scheme, and executing large model reasoning; and finally, converting the result into an operation and maintenance response instruction in combination with the equipment operation scene identifier, and sending the operation and maintenance response instruction to the execution terminal, so that accurate processing of the operation and maintenance task, reasonable allocation of resources and efficient response of the operation and maintenance service are realized.

The invention provides an operation and maintenance technology service remote guidance interaction method and system combined with agent assistance, and relates to the field of operation and maintenance technology services. Firstly, a remote guidance interaction request which is initiated by operation and maintenance personnel and comprises operation and maintenance object information, operation and maintenance problem description and an expected guidance direction is received; and performing operation and maintenance scene feature recognition through the virtual artificial intelligence agent, extracting key features, then generating an operation and maintenance guidance scheme containing a scene adaptive operation guidance sequence and a real-time semantic interaction node, and pushing the operation and maintenance guidance scheme to an operation and maintenance personnel terminal. Operation feedback description is received in real time, a guidance scheme is adjusted through a feedback semantic analysis module, an updated scheme is obtained and pushed, meanwhile, the evolution track of the guidance scheme and the operation feedback description in the interaction process are stored, and efficient, accurate and dynamic remote guidance interaction is achieved.

The invention provides an operation and maintenance process optimization method and system applied to operation and maintenance technical services, and relates to the technical field of operation and maintenance technical services. Firstly, scene features, execution association relationships and resource demand attributes in an operation and maintenance task demand document are collected to form an operation and maintenance task information set; and meanwhile, collecting real-time operation state data and capability dimension information of the service nodes to construct dynamic capability portraits of the service nodes. And then, based on the scene features and the scene adaptation capability, executing bidirectional adaptation processing to generate a preliminary adaptation result, identifying and resolving resource supply conflicts in the preliminary adaptation result, and generating a final adaptation scheme. And finally, integrating an operation and maintenance task execution sequence and service node resource supply arrangement according to the final adaptation scheme to form an operation and maintenance process optimization scheme, and dynamically evolving and calibrating the scheme content according to real-time data in the execution process. The operation and maintenance task can be accurately allocated, the flexibility and adaptability of the operation and maintenance process are improved, and the operation and maintenance service quality and efficiency are improved.

The invention relates to the technical field of data management, and discloses a cloud computing-based technical service integrated management system, which comprises a resource management module, a service monitoring module, a security control module, a data processing module and a user interface module, when dynamic allocation of cloud computing resources is carried out, resource load indexes are monitored in real time through an elastic telescopic unit in the resource management module, and resource demand estimation is carried out in combination with the prediction model, so that the system can actively adjust resource supply according to the fluctuation trend of technical service demands, the hysteresis of a resource allocation strategy is avoided, and the resource allocation efficiency is improved. Dynamic matching between cloud computing resource allocation and a real load is ensured, the resource utilization efficiency is improved, multi-dimensional monitoring data is collected and associated through a fault detection unit and a log analysis unit in the service monitoring module, so that the system can quickly position a core problem from an isolated alarm event, and the system reliability is improved. And the troubleshooting complexity and the time cost are reduced.

The invention discloses a panoramic VR and offline retail combined technical service platform. The technical service platform comprises the following steps of panoramic image capture, virtual shopping guide system, interactive experience, data analysis and multi-platform compatibility. The method has the beneficial effects that the technical service platform combines a panoramic VR technology with offline retail to provide immersive shopping experience for consumers, and the users can enter virtual shops through VR equipment, browse commodities and in-shop environments in a 360-degree panoramic manner, even interact with virtual shopping guide and understand commodity details and sales promotion information, so that the shopping experience of the consumers is improved. A panoramic VR technology is combined with an offline retail system, a brand new shopping mode is provided, through personalized recommendation and immersive experience, the shopping experience and satisfaction of a user are enhanced, retailers are helped to optimize operation management, improve the sales conversion rate and expand the market range, the system has remarkable commercial value, the user stickiness and the shopping experience are enhanced, and the shopping experience of the retailers is improved. And retailers are helped to stand out in fierce market competition.

The invention provides a multi-dimensional knowledge extraction construction method and system applied to operation and maintenance technology services, and relates to the field of operation and maintenance technology services, and the method comprises the steps: firstly obtaining an operation and maintenance service full record generated in an operation and maintenance technology service process, and then carrying out the association network construction processing of the operation and maintenance service full record, and obtaining a target association network structure. And based on the structure, identifying the core record cluster, extracting complementary operation and maintenance information, and fusing to form an operation and maintenance knowledge module set. And then performing dynamic knowledge system construction processing on the operation and maintenance knowledge module set to form a target operation and maintenance knowledge system with a self-adjustment capability. And finally, based on the target operation and maintenance knowledge system, aiming at the newly received operation and maintenance service request, generating operation and maintenance service response content containing the resource optimization suggestion, thereby effectively improving the operation and maintenance service quality and efficiency.

The present invention discloses a simulated digital distribution network operating system and a construction method, the operating system comprises: distribution network data resources, a kernel, a tool component layer and an application software layer; the kernel is used to store and process the distribution network data resources; the tool component layer completely wraps the kernel; the application software layer realizes the interaction of distribution network data resources with the kernel through the tool component layer; the tool component layer comprises a common basic module and a software development kit, the common basic module can be integrated by various distribution network application software, and provides technical services for user front-end; the software development kit can be integrated by various distribution network application software, and provides technical services for user back-end operations; the tool component layer completes the interpretation of distribution network data resource commands from the application software layer under the condition of considering the capacity requirements of the common basic module and the software development kit, and realizes service calling, message subscription or collaborative computing with the kernel as needed.

The invention discloses an after-sales product technical service problem processing method, device and equipment system, relates to the technical field of computers, and solves the problems that the problem processing efficiency is low due to insufficient communication caused by limited experience and frequent personnel replacement when field engineers solve product problems; the method comprises the following steps: submitting product problem information to a server through a mobile terminal, and judging whether the server stores the corresponding product problem information or not; related processing personnel select a processing flow and a related product responsibility unit according to the product problem information, and the responsibility unit edits a problem analysis processing report according to the processing flow; judging whether the problem analysis processing report passes internal verification approval or not; judging whether a corresponding product problem is solved or not; if yes, generating a product problem tracking report, feeding back the product problem tracking report to the server, displaying the product problem tracking report on the mobile terminal, and marking the problem state of the corresponding product as being processed; if not, an early warning signal is sent out; according to the invention, the accuracy and efficiency in the process of processing product problems are improved.

The invention discloses a data integration and resource sharing-based university science and technology park public platform management method. The method comprises the following steps of constructing a co-constructed, shared and shared supply and demand service system, constructing a multi-dimensional resource database, and providing scientific and technological achievement conversion, technical service and public service functions. Through the services, the method aims to promote transformation and industrialization of scientific and technological achievements, provide support for incubation of medium and small enterprises and cultivation of high and new technology enterprises, enhance communication and cooperation between the enterprises, improve enterprise benefits and promote regional innovation and economic development. The successful implementation of the method provides powerful data support and service guarantee for scientific and technological innovation and enterprise development of university science and technology parks, and contributes to transformation and upgrading and sustainable development of regional economy.

The invention belongs to the field of artificial intelligence, and relates to an AI-based code generation method and device, computer equipment and a storage medium, and the method comprises the steps: analyzing and defining a data model, and converting a business demand into a data structure; constructing a code knowledge base, matching the business requirements with the code knowledge base, and identifying missing function modules in the code knowledge base; according to the missing function module, identifying a process logic in the business demand, and mapping a business process to a technical service orchestration; generating a basic code framework according to a mapping result from the business process to the technical service orchestration; according to the basic code framework, generating an implementation code of a business service, serializing a business process into an executable code, and generating a code interacting with a user interface; and the generated codes are optimized. The method has the advantages of high efficiency, accuracy, easy expansion and the like, and can improve the development efficiency, shorten the product marketing period and enhance the market competitiveness.

The invention provides a technical service full-process monitoring system and method based on a block chain, and relates to the technical field of data processing, and the system comprises a data obtaining module which is used for obtaining full-process service items of a technical service, and carrying out the tracking collection of each service item based on a fixed frequency, and obtaining a state data sequence of each service item; the data storage module is used for storing the state data sequence of each service item to the block chain; the full-process monitoring module is used for performing dynamic rule detection on the state data sequence of each service item in the block chain based on a storage dynamic state, and generating a full-process monitoring report based on a dynamic rule detection result; and the dynamic interaction module is used for receiving a checking request of a user for the whole process of the technical service in real time, and pushing the whole process monitoring report and the state data sequence in the block chain to a user terminal in a personalized manner based on a target demand corresponding to the checking request. And the accuracy and the reliability of monitoring the whole process of the technical service are improved.

The utility model relates to the technical field of electric appliance technical services, and discloses an electric appliance technical service workbench which comprises a workbench body and a movable plate embedded in the middle of the surface of the workbench body, and further comprises a fixed groove formed in the middle of the top of the movable plate, and a rotating disc is arranged in the fixed groove; the central part of the lifting platform can move up and down, when the working platform moves to the lower part, a worker can place an electric appliance on the descending working platform easily, and does not need to lift the electric appliance to a working platform surface with a fixed height effortlessly, so that the physical burden of the worker is greatly reduced, the working efficiency is improved, and the lifting platform is convenient to use through the lifting function. The height of the workbench can be adjusted according to the size of electrical equipment and the height of a maintainer, so that the maintainer can operate in a comfortable posture, the fatigue caused by keeping a poor posture for a long time is reduced, meanwhile, the precision and quality of maintenance work are improved, and the practicability of the workbench is effectively improved.

This application provides a method and system for dynamic knowledge updating of a large-scale model for operation and maintenance (O&M) technical services. It relates to the field of O&M technology, and models the knowledge generation triggering factors, iteration impact range, and knowledge association strength in multi-source O&M knowledge update sources to obtain a knowledge full-link evolution set including knowledge generation trigger records, iteration impact assessment results, and cross-knowledge association networks. Then, dynamic coupling rules are generated based on the real-time scenario characteristics of O&M tasks and this knowledge full-link evolution set. These rules are used to filter and integrate the knowledge full-link evolution set to obtain a scenario-coupled knowledge set. This set is embedded into the knowledge architecture of the large-scale O&M technical service model, and storage node parameters and retrieval logic are adjusted to obtain the basic updated model. Finally, the basic updated model is dynamically adapted in multiple dimensions, and the knowledge call priority sequence and storage node parameters are adjusted in conjunction with changes in scenario characteristics to generate an adapted updated model, thereby improving the adaptability of the large-scale O&M technical service model.

The utility model discloses an anti-collision automatic control door, which relates to the technical field of automatic doors, and is characterized in that slide rails are fixedly connected to two width ends of a buffer pad, a plurality of door frames symmetrically arranged along the thickness direction of the buffer pad are detachably connected to the slide rails at the two ends, and an anti-collision space is defined by the slide rails at the two ends and the door frames; and the anti-collision space is filled with an anti-collision plate. The automatic door can bear certain collision and is not prone to deformation through the door frame and the anti-collision plate which are made of zinc alloy materials, buffering is provided for the anti-collision plate and the door frame through the buffering pad which is made of rubber materials, and when the door frame or the anti-collision plate deforms due to large acting force to affect normal opening and closing of the automatic door, the automatic door is not prone to deformation. Through professional design technology service, the door frame or the anti-collision plate can be simply and conveniently replaced only by disassembling the fixing piece, buffering is provided for the automatic door when the automatic door is opened and closed through the end, penetrating out of the sliding rail, of the buffering pad, and the buffering pad and the sealing groove which are clamped with each other enable the automatic door to have a good sealing and separating effect when the automatic door is closed.

The application discloses a kind of spatiotemporal constraint's blockchain digital collectible dynamic generation method and system, it is related to blockchain technology field, including, digital collectible technical service provider carries out digitization collection and modeling based on multi-view three-dimensional reconstruction technology to physical entity, generates high-precision initial three-dimensional model;The initial three-dimensional model is bound with the environmental data of the physical entity that is collected in real time by sensor network, and the digital twin model of the physical entity is constructed;Intelligent contract is deployed on blockchain, and the preset spatiotemporal constraint condition is defined as the verifiable rule in the intelligent contract;When user client meets the spatiotemporal constraint condition, it submits its spatiotemporal information to the intelligent contract Zero-knowledge proof that the verifiable rule is met.The application evolves initial three-dimensional model, generates final digital collectible file, finally the hash value and metadata of the file are notarized in blockchain, complete casting.

The present invention relates to a computer-aided aluminum veneer polishing quality assessment method and system, and belongs to the field of electronic data digital processing technology. The method utilizes a computer for auxiliary design and processing, and the method can be applied to new software and new technical services. The method obtains a first characteristic index corresponding to each characteristic area according to each texture structure characteristic index; obtains a second characteristic index corresponding to each characteristic area according to an R channel intensity difference index, a G channel intensity difference index, and a B channel intensity difference index; and evaluates the polishing quality corresponding to the polishing process when producing aluminum veneers according to the first characteristic index and the second characteristic index. Compared with the method of evaluating the polishing quality of aluminum veneers based on manual visual inspection, the present invention can more reliably evaluate the polishing quality corresponding to the polishing process when producing aluminum veneers, and the work efficiency of evaluating the polishing quality corresponding to the polishing process is also high.

The present invention discloses an efficient access method and system for multi-level blockchain government data, which belongs to the field of data security sharing technology. The method is implemented by an access system controlled by multiple nodes, and the access system includes: a technical service platform that creates a hierarchical structure to initialize the system and set attribute sets, a government department node that performs double-layer encryption on the data, and an alliance member node that requests access to the data; the method is based on blockchain and attribute encryption technology, which can ensure that government department nodes at different levels perform efficient data chain storage and secure access operations, and at the same time keep relevant data operation records on the blockchain. Based on the distributed trust characteristics of blockchain technology, the timeliness, immutability and traceability of government data are achieved. Attribute encryption technology uses attribute sets to describe user identities and uses decryption strategies to define access rights, thereby achieving fine-grained access to government data and meeting multi-level data access requirements.

This application provides an intelligent dialogue Q&A method and system for operation and maintenance technical services based on a large model knowledge base. It relates to the field of large model operation and maintenance dialogue technology. The method involves receiving operation and maintenance consultation requests, capturing the dynamic evolution characteristics of the problem, and associating them with the real-time updated knowledge modules of the large model knowledge base to obtain corresponding relationships. Based on these relationships and phased descriptions, dynamic scenario adaptation processing is performed. An operation and maintenance Q&A generation module with knowledge iteration functionality is invoked, combining the adaptation results and incremental knowledge to generate multiple rounds of preliminary Q&A content. The preliminary Q&A content is dynamically optimized and adjusted based on feedback information to obtain dynamically optimized Q&A content. The content is fed back to the initiator, and relevant information is associated with the knowledge iteration module to drive incremental updates, completing the intelligent dialogue Q&A process and improving the accuracy and practicality of operation and maintenance Q&A.

The present invention relates to the technical field of natural language processing and deep learning matching recommendation, and discloses a supply-demand matching method for digital technology personalized services, including: using a natural language large model to perform semantic understanding and analysis on the submitted long technical text, effectively extracting the core text of the technical content, and accurately demarcating industry domain labels based on a text classification model, so as to solve the matching obstacles caused by cross-industry term differences; using the natural language large model to achieve the accurate extraction of explicit numerical parameters and performance indicators in the technical text, establishing a refined demand text set, and performing deep semantic vectorization representation through a word embedding model; and through cosine similarity calculation and screening rules based on industry labels, the matching accuracy and reliability of cross-industry technical services are greatly improved; based on the correlation weight mechanism of performance indicators, comprehensively considering semantic similarity and performance indicator correlation, the accuracy of the matching recommendation result is optimized.

This application provides a method and system for intelligent fault case matching applied to the field of operation and maintenance technical services. It involves collecting relevant data from intelligent equipment in chain stores to construct a current fault spatiotemporal evolution model; extracting complete intervention process data from historical fault cases and encoding them to generate an effectiveness coding package; then performing dynamic resource effect balancing and adaptation calculations to determine the intervention effectiveness matching degree; generating a simulation result report based on the intervention effectiveness matching degree; and finally, elastically adjusting and testing cases that meet the threshold to generate a target matching fault case set. This invention comprehensively considers the spatiotemporal evolution of faults and intervention effectiveness, enabling accurate fault case matching and improving operation and maintenance efficiency and quality.

The invention discloses a network technology service monitoring system, and relates to the technical field of monitoring systems, the network technology service monitoring system comprises a fixed bed and a protection assembly, the front side of the fixed bed is rotatably connected with a front bed, the rear side of the fixed bed is rotatably connected with a rear bed, and the protection assembly for enhancing safety is arranged on the surface of the fixed bed. The protective assembly comprises an adjustable safety belt, protective fences, fixing belts, hook-and-loop fasteners, protective cotton, a left limiting cover, a right limiting cover and a protective rubber layer, the adjustable safety belt is arranged on the upper surface of the front bed, the protective fences are installed on the left side and the right side of the fixed bed, and the fixing belts are connected to the left side and the right side of the fixed bed. According to the child fixing device with the high safety, the multiple assemblies are matched with one another, a child is fixed through the protection assembly, the safety is guaranteed, the child is injured in the operation or examination process, the body position in the examination process can be adjusted through the adjusting assembly, and examination can be conveniently and rapidly completed.

The present invention discloses a monitoring and disassembly auxiliary device for technical services of a building automation system, comprising a mounting base, a connector, and a camera device. The mounting base is fixed on a support, and the connector is located at the bottom center of the mounting base. The outer surface of the connector is provided with a housing shell and a placement slot. The interior of the housing shell is provided with a blocking mechanism that cooperates with the placement slot. An opening that penetrates to the outer surface of the connector is provided on one side of the placement slot, and a clamping mechanism is provided inside the placement slot. Beneficial effect: Through the design of the blocking mechanism, the connector inside the placement slot can be blocked and protected, and then after the contact connection block and the connector are in the connection state, the connection block will not fall off the connector with the camera device at will. Only when the maintenance personnel hold the camera device will the blocking assembly be opened and the camera device removed, thereby avoiding accidents and casualties.

This application provides a remote guidance and interaction method and system for operation and maintenance (O&M) technical services that combines intelligent agent assistance. It relates to the field of O&M technical services. First, it receives a remote guidance interaction request initiated by O&M personnel, containing information about the O&M object, a description of the O&M problem, and the desired guidance direction. Then, it uses a virtual artificial intelligence agent to identify O&M scenario features, extracts key features, and generates an O&M guidance scheme containing a scenario-adaptive operation guidance sequence and real-time semantic interaction nodes, which is then pushed to the O&M personnel's terminal. It receives operation feedback descriptions in real time, adjusts the guidance scheme through a feedback semantic parsing module, obtains an updated scheme, and pushes it back. Simultaneously, it stores the evolution trajectory of the guidance scheme and operation feedback descriptions during the interaction process, achieving efficient, accurate, and dynamic remote guidance interaction.

This application provides a method and system for optimizing large-scale model inference for operation and maintenance (O&M) technical services. First, a set of multiple pending O&M service requests is obtained. Each pending O&M service request carries O&M requirement description information and equipment operating scenario identifiers. Then, based on the above information, the O&M inference tasks are dynamically prioritized, generating a priority list. According to the priority list and inference link requirements, computational resources and O&M knowledge resources for large-scale model inference are allocated to form a collaborative scheduling scheme. The inference process is configured and executed according to the collaborative scheduling scheme, generating O&M inference results. Finally, the results are converted into O&M response instructions based on the equipment operating scenario identifiers and sent to the execution terminal. This achieves accurate processing of O&M tasks, reasonable resource allocation, and efficient response to O&M services.

This invention relates to the field of software development technology and discloses a software development method and system supporting intelligent analysis of technical service requirements. The method includes: acquiring edge real-time control requirement text and equipment specification parameters; extracting a list of timing constraint annotations and equipment resource constraint vectors; performing semantic encoding to generate a semantic representation matrix; generating a function-technical element mapping table through triple extraction; identifying logical relationships of timing constraints to generate a timing constraint relationship graph; querying a resource consumption database to generate resource consumption vectors for functional nodes; constructing a timing-resource coupling analysis graph and calculating the worst-case execution time; performing a joint feasibility test to generate a coupling conflict report; generating solution suggestions and outputting structured analysis results. This invention can detect coupling conflicts between timing constraints and resource constraints during the requirement analysis phase, avoiding timing violations caused by insufficient resources during actual deployment.

The utility model relates to the technical field of electronic equipment, and discloses information technology service equipment which comprises a case, two first cooling fans are fixedly installed at the rear end of the case, two second cooling fans are fixedly installed at the front end of the case, and the first cooling fans and the second cooling fans are electrically connected with a main control board in the case through connecting wires respectively. A mounting plate is fixedly mounted in the case above the first cooling fan, a plurality of first side plates and second side plates are fixedly mounted at the front end of the mounting plate, pin shafts are movably mounted in the first side plates, and pull rods are movably mounted at one ends of the pin shafts. The inserting grooves are formed in the outer side of the case, the inserting strips are arranged on the inner side of the top cover, rapid positioning and inserting connection of the top cover on the case can be achieved, meanwhile, the mounting plate, the two sets of pin shafts, the pull rods, the push blocks and other structures are arranged in the case, final limiting of the top cover can be achieved, and the top cover can be disassembled and assembled by a single person under the condition that the structural size of the case is large.

The invention provides a large-model knowledge dynamic updating method and system for operation and maintenance technology service, relates to the technical field of operation and maintenance, and aims to generate a trigger factor, an iterative influence range and knowledge association strength modeling for knowledge in a multi-source operation and maintenance knowledge updating source. Obtaining a knowledge full-link evolution set comprising a knowledge generation trigger record, an iteration influence evaluation result and a cross-knowledge association network; a dynamic coupling rule is generated based on operation and maintenance task real-time scene features and the knowledge full-link evolution set; screening and integrating the knowledge full-link evolution set by utilizing a dynamic coupling rule to obtain a scene coupling knowledge set; embedding the model into a knowledge architecture of an operation and maintenance technology service large model, and adjusting storage node parameters and retrieval logic to obtain a basic updated model; and finally, carrying out multi-dimensional dynamic adaptation on the model after basic updating, adjusting a knowledge calling priority sequence and storage node parameters in combination with scene feature changes, generating an adaptive updated model, and improving the adaptability of the operation and maintenance technology service large model.