16results about How to "Solve the mess" patented technology

This invention discloses an online search method for particle spelling variants and properties usable by intelligent agents. The steps are as follows: inputting the baseline spelling of a particle and the constructed particle-specific prompt words into a large language model to generate a core variant corresponding to the particle; integrating the core variant of each particle with the authoritative benchmark information corresponding to the particle to form a full variant set for each particle; each record in the full variant set contains a unique identifier for a particle, a multi-scene benchmark name, a core variant, and extended attributes; dynamically mapping a remotely callable interface set on the server to a local proxy object on the client; after receiving a query request, the local proxy object parses the particle spelling parameters in the query request and performs multi-dimensional spelling matching in the full variant set to realize online search for particle spelling variants and properties. This invention effectively improves the ability of AI intelligent agents to handle domain-specific tasks.

The utility model discloses an automobile wire harness fixing support which comprises a metal support and a protective sleeve, the metal support is provided with at least two longitudinally stacked C-shaped fixing parts, the bottom of the metal support extends out of a mounting surface, the mounting surface is provided with an assembly hole, and the edge of the mounting surface is provided with an anti-rotation hook; a protective sleeve is arranged in each C-shaped fixing part, and an axially-through open groove is formed in the side, away from the corresponding C-shaped fixing part, of each protective sleeve. A bandage is fixed to the upper end of the protective sleeve, and a hook-and-loop fastener is arranged at the free end of the bandage. Bandage penetrating holes allowing bandages to penetrate through are formed in the mounting face of the bottom of the metal support and the common face of every two adjacent C-shaped fixing parts. By arranging the at least two longitudinally stacked C-shaped fixing parts, a plurality of wire harnesses can be fixed at the same time, the problem that the wire harnesses are disordered due to the fact that the number of the wire harnesses in an existing new energy automobile is large, and a plurality of strands of wire harnesses cannot be fixed at a time is effectively solved, the arrangement of the wire harnesses in the automobile is more regular and orderly, and management and maintenance of the wire harnesses are facilitated.

The embodiment of the application provides an AIS and radar data fusion method and device based on a Haversine formula, time alignment of AIS data and radar data is performed through interpolation processing, so that the AIS data and the radar data after the interpolation processing can be accurately matched in a track recognition operator according to the Haversine formula, and through the matching operation of the AIS data and the radar data, the radar data is endowed with a uniform identifier with the AIS data, the problem of target identity information confusion in a traditional monitoring method is solved, the identifier runs through the subsequent processing procedure of the method, so that the fusion method can realize perfect combination of rich identity and low-frequency data of the AIS and real-time position and high-frequency data advantages of the radar.

The application belongs to the technical field of information security, and provides a trusted cloud level standardization framework system and a quantitative mapping method, which is executed by one or more processors deployed on a server or an authentication platform, is based on a predefined trusted cloud level standardization framework system and a unified data security level measurement, and comprises the following steps: a receiving step of receiving qualitative security control items from an external standardization framework; and an automatic process of "parsing-mapping-evaluating-generating" for converting the external qualitative control items into digital levels based on the unified measurement, which not only improves the traditional compliance judgment from binary qualitative to fine quantitative, realizes accurate comparison of security capabilities, but also provides a core technical path for realizing automatic compliance evaluation, generating intuitive and trusted credit scores, and constructing an end-to-end verifiable supply chain trust system.

The invention relates to the technical field of material informatics, and discloses a material data management method and system based on artificial intelligence, and the method comprises the following steps: S1, carrying out the first-level classification according to the purposes corresponding to collected material data; s2, on the basis of the first-level classification, performing second-level classification on the material data according to the main performance of the material; s3, on the basis of the second-stage classification, performing third-stage classification on the material data according to the preparation process of the material; and S4, on the basis of the three-stage classification, performing four-stage classification on the material data according to the auxiliary performance of the material. Through four-level hierarchical association, a complete link of application-main performance-preparation process-auxiliary performance is established, data of ten types of polymer fine processing products is effectively planned and managed, and efficient support is provided for research and development links such as formula screening, process matching and performance prediction, so that the speed of research and development and iterative optimization of new materials is accelerated.

A safety suspension device homing system for an aerial work anti-falling lifeline relates to the technical field of aerial work and comprises a homing trolley, a first limiting baffle, a second limiting baffle and a remote controller. The top of the homing trolley is in sliding connection with the track lifeline, and the tail end face of the homing trolley is used for pushing the multiple suspension devices. A driving unit, a detection unit and a control unit are arranged in the homing trolley, the driving unit is used for driving the homing trolley to linearly move along the lifeline of the track, the detection unit is used for judging whether the homing trolley abuts against the first limiting baffle or the second limiting baffle, and the control unit is used for receiving an instruction of a remote controller. Detecting an in-place instruction of the unit and controlling the driving unit to start or stop; the first limiting baffle and the second limiting baffle are fixedly installed at the two ends of a track lifeline respectively, and all the suspension devices are placed between the second limiting baffle and one end of the track lifeline. The problem that a traditional suspension device is placed disorderly is solved.

The invention discloses an intelligent agent method, system and equipment for enterprise data retrieval and a medium, mainly relates to the technical field of data retrieval, and aims to solve the problems that the existing scheme is high in manual processing cost, low in efficiency, non-uniform in manual label processing standard and weak in cross-file content association, the traditional retrieval only supports keyword matching, and the retrieval efficiency is low. And the semantic association between the query demand and the document cannot be captured. Comprises: obtaining a label result and a description result; establishing an association relationship among the label result, the description result and the enterprise data, and storing the association relationship into a database; inputting a query demand in response to the front-end retrieval box, and calculating the similarity between the query demand and the label result, the description result and the enterprise data; and determining the enterprise data and the enterprise data sequence corresponding to the query demand based on the similarity and the association relationship.

The application discloses a kind of based on visual api interface and realizes the method and system of data same ring ratio, relating to same ring ratio data processing technical field, which comprises: obtaining first result data by api interface;Create binary tree, store first result data in the parent node of binary tree, establish ring ratio and same ratio data stack in the first child node and the second child node of binary tree respectively;According to first preset frequency, obtain several second result data by api interface;Based on first preset frequency, all second result data is stored to ring ratio or same ratio data stack;Traverse parent node and first child node, obtain first result data and ring ratio data and put into component rendering, realize data ring ratio visualization;Or traverse parent node and second child node, obtain first result data and same ratio data and put into component rendering, realize data same ratio visualization.The application improves the security and accuracy of data when same ring ratio data is processed.

This invention discloses a credit control management method, apparatus, device, storage medium, and program product. It acquires credit control execution results for all user accounts in a business system according to a preset cycle. Each user account is associated with at least one main product, and each main product is pre-configured with a corresponding credit control lifecycle stage and associated credit control rules for each stage. Based on the credit control execution results, target user accounts in abnormal scenarios are selected. Based on the credit control rules of the main product to which the target user account belongs, an audit query is performed on the target user account. The audit query results are summarized, and a credit control verification report is generated based on the audit query results. Using this invention, scattered credit control rules can be effectively organized, product-level credit control lifecycle management can be established, automated and intelligent monitoring can be achieved, and management efficiency and user experience can be improved.

The present application relates to the energy power industry equipment material supply chain data management technology, it discloses a kind of construction method of energy power industry equipment material price database, solve the problem of energy power industry equipment material price database construction, equipment material type is miscellaneous, there is no unified standard, price data source is single and credibility is low, and price adjustment lacks scientific quantization basis.The scheme in the present application, first, equipment material type parameter is standardized definition and modularization split, determine the price adjustment coefficient of basic type parameter, fixed description standard and additional function module, and scientifically set the density of basic type parameter;Second, collect historical contract / price inquiry data, regularly price inquiry data, project special price inquiry data three kinds of multi-source price data, according to time distance and credibility weight and after pre-processing, generate standard price;Finally, in combination with project region, project stage and other factors, through weight assignment and algorithm calculation, generate the price adjustment coefficient of actual price relative to standard price.

The application provides a vehicle-mounted call audio processing method and device. The method comprises the following steps: obtaining downlink audio data from a remote server and uplink audio data from a local acquisition device; reading a preset audio configuration file, wherein the configuration file contains processing parameters associated with an audio stream type; based on the audio configuration file, performing format standardization processing on the uplink audio data and the downlink audio data to generate a standard audio data packet in a unified format; according to a preset multi-track merging format, aligning the uplink and downlink audio data in the standard audio data packet according to a time axis and performing multi-track merging to generate a mixed audio data packet; storing the mixed audio data packet and notifying an application layer service module of a storage location thereof. The application solves the problem of audio format and time axis disorder caused by different processing modes of various terminals, and improves the accuracy and efficiency of voice-related service processing.

The utility model discloses a total drop medium-voltage cabinet with a bus arrangement structure, which relates to the technical field of medium-voltage cabinets, and comprises a cabinet body, a guide adjusting track and a wire arrangement frame, the cabinet body is internally provided with a heat dissipation groove, one side of the cabinet body is connected with a protective door, and one side of the protective door is connected with a handle; a guide adjusting rail is installed in the cabinet body, an adjusting block is inserted into the guide adjusting rail, and threaded grooves are formed in the guide adjusting rail and the adjusting block. According to the total drop medium voltage cabinet with the bus arranging structure, the position of the wire arranging frame can be flexibly adjusted according to limiting requirements before the buses are limited, the total drop medium voltage cabinet is convenient to use, a plurality of buses can be separated and limited at a time, the limiting effect is better, and the working efficiency is improved. According to the total drop medium-voltage cabinet with the bus arrangement structure, the problem that wire harnesses in the cabinet body are disordered due to the fact that a large number of assemblies are installed in the total drop medium-voltage cabinet and the outer side of each assembly is connected with a plurality of buses is solved.

The application provides an industry knowledge graph-based large model enhancement training method, which comprises the following steps: constructing an industry task structure graph, structurally encoding task nodes to obtain a task structure vector set and a task structure hop number matrix; dividing a training task into stages based on the graph to form a stage task set and a corresponding stage sample set; training a large model stage by stage, and introducing a structural consistency constraint in each stage to align the model internal task representation with the task structure vector and make the relationship between tasks comply with the hop number matrix; and finally, fusing the model parameters and task intermediate representations of each stage, optimizing in a unified structure space, making the task representation of the final model close to the original graph structure, retaining the stage training memory and maintaining the hop number distance relationship between tasks. The method effectively improves the structural understanding and generalization ability of the large model in the industry task.

This utility model discloses a color card display box for packaging design, comprising: a display box body; and a limiting component, wherein the limiting component includes a color card body, a baffle, a partition, and a snap-fit ​​groove. Several partitions are fixedly connected to both ends of the inner surface of the display box body. The color card body is embedded between two partitions. The baffle is movably connected through the upper parts of both ends of the display box body. The snap-fit ​​groove is located at the bottom of the baffle. Through the limiting component, when the color card bodies are placed sequentially inside the display box body, the baffle can be extended into the display box body by pushing the limiting plate, and the snap-fit ​​groove engages with the top of the color card body. Simultaneous operation at both ends allows the baffle to stably block the top of the color card body, effectively limiting its position. This limiting method firmly secures the color cards, ensuring that designers can quickly return to color card selection and design work, guaranteeing the continuity and efficiency of the design process.

The invention relates to the field of artificial intelligence and automatic planning, in particular to a large-scale planning problem solving method based on general knowledge of a large language model, and the method comprises the steps: analyzing a PDDL domain file and an instance file, and obtaining an initial state, a target state and an action model; the target state is disassembled into sub-targets in a directed two-tuple form, a directed acyclic dependency graph is constructed, topological sorting is carried out, and an ordered sub-target sequence is obtained; recursively traversing a sequence to generate a sub-problem, calling a planner to solve, and optimizing through LLM two modes if the sub-problem fails or is overtime; the mode A selects actions from an executable action sequence to compress a search space, and the mode B predicts an intermediate state to split an intermediate sub-problem; and finally connecting the sub-plans in series in sequence to generate an overall plan. The invention aims to solve the problems that the traditional planning method is high in search overhead, the sub-target sequence is difficult to determine and the LLM output is unreliable.