12 results about "Technical service" patented technology

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.

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.

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 application relates to an AI vision-based solid wood board defect intelligent detection technical service platform system, aiming to solve the problems of strong texture interference, low micro-defect recognition rate and poor industrial environment robustness. The system comprises a multi-dimensional perception image acquisition unit, an environment self-adaptive enhancement unit, a double-flow feature decoupling analysis unit, a defect fine classification unit, an edge reasoning execution unit and a cloud collaborative service unit. The texture interference is inhibited through spatial-frequency double-flow decoupling, high-precision defect recognition and full-link closed-loop sorting are realized by combining cloud-edge collaboration and federated learning, and the detection robustness, raw material utilization rate and cross-line collaborative optimization capability are improved.

The application relates to an Internet of Things technology service technical field such as a sensing technology service, and relates to a high-precision reference voltage calibration method and system based on a lookup table, which comprises the following steps: judging whether an original reference voltage value belongs to a target voltage range, if yes, not performing reference voltage calibration, if not, performing reference voltage testing according to a first target gear value, obtaining a first verification reference voltage value, judging whether the first verification reference voltage value belongs to the target voltage range, if yes, performing EFUSE programming according to the first target gear value, obtaining an EFUSE value, if not, calculating a second target gear value by using a gear adjustment step actual value, performing EFUSE programming according to the second target gear value, obtaining the EFUSE value, performing output resistance ratio adjustment according to the EFUSE value, obtaining a target output resistance ratio, and performing high-precision reference voltage calibration according to the target output resistance ratio. The application can solve the problems of low calibration efficiency and high risk in current chip internal reference voltage calibration.

This invention discloses a remote technical support system and method for drilling rigs, comprising a server-side remote technical support system, multiple field-side remote technical support systems, and a drilling rig control system. Each field-side remote technical support system is connected to its corresponding drilling rig control system via cable or wireless signal. The server-side includes multiple engineering workstations and a network module, while the field-side includes a power supply module, an industrial all-in-one machine, a permission management module, and a network module. The system allows engineers to remotely access the system for system maintenance, complex system parameter tuning, fault diagnosis, and modification of underlying logic, improving the timeliness of technical services, reducing downtime, and enhancing system stability and scalability. The industrial all-in-one machine has built-in data acquisition and storage software, supporting the acquisition and storage of real-time status information and providing a software development environment to support remote technical operations. Through this invention, manufacturers and users can significantly reduce maintenance costs and improve drilling rig operating efficiency and safety.

The utility model relates to borehole technology field, and disclose a kind of borehole equipment for construction engineering technical service, solve the problem proposed in background art, it includes borehole equipment ontology, the borehole equipment ontology includes base, drill rod, drill hole disc and drilling machine, the drilling machine has drill bit, dust cover is provided on the drill bit, the dust cover covers drill hole area, the dust cover is connected with dust collector by dust suction pipeline, dust suction fan is provided on the dust collector, the utility model, with can effectively collect dust, reduce dust pollution, avoid the dust dispersion problem of traditional borehole equipment, meet the effect of environmental protection construction standard.

This utility model relates to the field of data conversion equipment technology, specifically a data converter for technical services. The converter includes a converter body and a power module. The converter body has a hollow top-and-center structure. The power module is fixedly connected inside the converter body. A data processing module, a data decoding unit, and a format conversion unit are fixedly connected to the top of the power module. A data input line is fixedly connected to the input end of the power module. The end of the data input line away from the power module extends to the outside of the converter body and is fixedly connected to a data input interface. Heat dissipation fins are fixedly connected inside the converter body, above the power module. The advantages of this utility model are that by using a thermally conductive metal shell and heat dissipation fins, combined with a cooling fan, it can effectively improve heat dissipation efficiency, promptly dissipate the heat generated during equipment operation, ensure stable equipment operation, extend equipment lifespan, and significantly improve operational quality and efficiency compared to traditional devices.

The application discloses a machining center FANUC coordinate system protection method, comprising the following steps: step S1: dividing the coordinate system parameters according to the importance degree to divide the protection level, switching the parameter write protection control right to the PMC signal through the system parameter setting, and writing the permission judgment logic in the PMC ladder diagram; step S2: constructing the background parameter monitoring mechanism based on the macro program interruption function and the PMC window function, periodically reading the current value of each level parameter and comparing with the reference value; step S3: triggering the differential early warning and processing mechanism according to the safety level of the modified parameter, and automatically executing the parameter backup after the authorized modification confirmation; step S4: establishing the log buffer area in the PMC, and real-time recording the coordinate system related operation behavior and storing in the non-volatile area. The application can cover more than 90% of the FANUC system machining center on the market, and can be used for self-owned factory equipment batch upgrading, and can also carry out technical service, technical consultation and technology transfer.

This application provides a method and system for predicting operational and maintenance (O&M) technical service issues based on big data analysis, relating to the field of O&M service technology. First, it constructs an O&M service link dependency model including dependency relationship types, tracks the operational status of link units in real time, and identifies initial deviation units. Next, it tracks the deviation propagation path to form an O&M service deviation propagation trajectory, maps it to a historical case database in a scenario-based manner, and extracts matching problem types and development characteristics. Finally, based on the mapping results and historical O&M problem processing big data, it generates prediction results including problem type, affected link unit range, and problem development direction, and associates them with a set of O&M technical service problem intervention schemes. This invention improves the accuracy and timeliness of O&M problem prediction.

The present application relates to the technical field of standardized information processing, intelligent recommendation and explainable artificial intelligence, in particular to a standard technology service demand intelligent matching method and system based on deep learning, which is based on a standard knowledge base and an evidence index system, obtains demand and service capability data and performs deep semantic vector representation to screen candidate services; scores and sorts the candidate services and constructs a clause evidence chain to form an evidence set; combines standard evolution and evidence verification to calculate risk indicators and classify; dynamically adjusts the sorting weight and explanation granularity according to the risk, prohibits the completion of the generated clause number for high risk, outputs the recommendation and explanation and generates an audit trace record, solves the evidence fault problem caused by version drift by constructing a clause evidence chain and combining standard evolution and evidence verification state, and effectively avoids the pseudo-compliance risk. Through dynamic risk control, the completion behavior of the generated clause is limited to ensure the authenticity and reliability of the generated explanation.