19results about How to "Realize automatic association" patented technology

The invention discloses an enterprise-level knowledge base construction method based on a large model. The enterprise-level knowledge base construction method comprises the following specific steps: acquiring original data of an enterprise and preprocessing the original data to obtain first target data; performing knowledge extraction and representation based on the first target data to obtain second target data; based on the random-degree large model and the second target data, performing knowledge graph construction and storage to obtain an enterprise-level knowledge base; performing knowledge retrieval and recommendation on the enterprise-level knowledge base by using a modular retrieval enhancement generation method; and periodically updating and maintaining the enterprise-level knowledge base. According to the method, keywords and concepts in various knowledge carriers such as internal documents, reports and communication records of enterprises can be automatically identified based on the strong analysis capability of the random-degree large model, and automatic association among knowledge elements is realized; the enterprise-level knowledge base is quickly constructed, the knowledge base is periodically updated and maintained in time, the content of the enterprise-level knowledge base is enriched, and a foundation is laid for subsequent enterprise knowledge search.

The invention belongs to the field of artificial intelligence, finance and medical treatment, and relates to an algorithm model verification and precision evaluation method, which comprises the steps of calling a pre-constructed original algorithm model to process an original sample file set to obtain a to-be-evaluated model result, and associating an original sample file with the to-be-evaluated model result to obtain a to-be-evaluated model result; performing annotation task allocation according to the generated annotation task allocation scheme, receiving a truth value result submitted by the annotation personnel, comparing a to-be-evaluated model result with the corresponding truth value result to obtain an initial model precision evaluation result, optimizing the model according to the initial model precision evaluation result, and evaluating the optimization algorithm model to obtain an evaluation result. And generating a model performance comparison report. The invention further provides an algorithm model verification and precision evaluation device, equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the original sample file can be stored in a block chain. According to the method, the model iteration efficiency can be greatly improved, and the precision and performance of the model are improved.

The invention belongs to the technical field of bridge monitoring, and discloses a multi-point monitoring system and monitoring method for bridge settlement. The monitoring device comprises an optical unit which is used for converging and deflecting received laser beams and imaging on a receiving unit to form light spots; the receiving unit is arranged on one side of the optical unit, and the distance between the receiving unit and the optical unit is larger than two times of the focal length of the optical unit; and the detection unit is used for calculating the displacement of the light spot according to the current position of the light spot on the receiving unit and the position of the light spot on the receiving unit when the laser light source is located at the initial position, and obtaining the settlement of the corresponding monitoring point according to the displacement of the light spot. According to the invention, the problem of inaccurate measurement caused by laser beam divergence in long-distance laser transmission is well solved, the displacement of the light spot on the receiving unit can be multiplied by the displacement of the laser light source, and the measurement precision of the settlement of the bridge monitoring point is improved.

The invention discloses a food quality safety tracking management system based on big data, and relates to the technical field of food safety, the system can collect various quality data in real time at key nodes of dairy product production and storage, and realize automatic association of batch information. The parameter acquisition module acquires dairy product production data in real time through acquisition equipment installed at a production node, and acquires storage data at a storage node at the same time. After the data is transmitted to the central database, the system preprocesses the data, and finally a complete preservative traceability data set is generated. And associating the quality data of each batch by using the unique identifier, and associating the dairy product batch ID with the preservative batch ID to form a dairy product component association table PCA, and establishing a detailed tracing relationship between different batches. The module enhances the traceability and transparency of the product quality, and is convenient for quickly finding out the problem source when the quality problem occurs.

The embodiment of the invention provides a resource transfer method and device, equipment and a storage medium. The method comprises the following steps: receiving a first trigger operation in a resource transfer operation interface, and displaying a first information display interface which comprises resource associated information of a target resource account; a second trigger operation for the first information display interface is received, a second information display interface is displayed, the second information display interface comprises target platform associated information determined according to the resource associated information, and a target platform is an operation platform of the resource transfer operation interface; and receiving a third trigger operation for the second information display interface, associating the target resource account with the target platform association information, and displaying an association result notification interface. By utilizing the method, the operation of manually editing information by an operator in resource transfer is reduced, the condition of association failure is avoided, the execution logic of resource transfer is simplified, and the transfer efficiency of resource transfer is improved.

The invention provides a PDM system digital-analog object automatic creation method and system based on part number driving, and relates to the technical field of automobile data processing, and the method comprises the steps: determining a part needing digital-analog creation, submitting a digital-analog creation application, automatically distributing a part number by a BOM system, and creating a part main data attribute; the BOM system sends a creation request to the PDM system, the PDM system calls a digital-analog encoder after receiving the creation request of the BOM system, the digital-analog encoder automatically allocates a digital-analog number according to a part number and a part main data attribute transmitted by the BOM system, and the digital-analog number and the attribute are returned to an attribute field of a part main data object of the BOM system through an interface of the BOM system and the PDM system; and the PDM system calls the digital-analog template library, automatically matches the corresponding digital-analog and drawing templates according to the digital-analog numbers and the part main data attributes transmitted by the BOM system, and creates complete digital-analog numbers and data set objects according to the called digital-analog and drawing templates.

The invention relates to the technical field of place name data processing, and particularly discloses an automatic association processing method based on open source place name data, which comprises the following steps: firstly, carrying out entity detection on natural language text content containing place names to extract candidate place names, and taking other content in the text as supplement; the semantic coding technology based on deep learning is adopted to carry out semantic coding and compensation type interactive fusion on candidate place names and supplementary content thereof, and the supplementary content is used as a context background to optimize semantic feature expression of the candidate place names. And constructing a place name alternative list by querying associated entity data of the candidate place names in the geographic database, and realizing automatic association of the place name data based on semantic similarity between each alternative place name in the list and the candidate place names. According to the application, the accuracy of place name data association can be effectively improved, meanwhile, the dependence on manual annotation is reduced, and the data processing efficiency is improved.

The invention relates to the technical field of digital city physical examination, in particular to a BIM model-based city physical examination method and system. The urban physical examination method comprises the following steps: establishing a BIM three-dimensional model of a physical examination object, and determining coordinate data of the physical examination object; acquiring position data of the physical examination personnel, marking the position of the physical examination personnel in the BIM three-dimensional model according to the position data, and recording the position as a physical examination reference point; determining the relative orientation relationship between the physical examination building component and the physical examination personnel, and marking the building component in the BIM three-dimensional model according to the physical examination reference point and the relative orientation relationship; and associating the component physical examination result uploaded by the physical examination personnel with the building component. According to the method, automatic association of the physical examination result and the building component can be realized, the probability of data matching errors is effectively reduced, and efficient and accurate development of urban physical examination work is facilitated.

The application relates to a kind of automatic association devices of strip box two-dimensional code, it includes: support frame;Conveying mechanism, for conveying the strip box of loading packet, and along the support frame of conveying direction;Code scanner, is set to support frame, for scanning the two-dimensional code of strip box and the two-dimensional code of packet respectively;Suction mechanism, it is set to support frame, and along the conveying direction of conveying mechanism, located the side of code scanner, suction mechanism can absorb packet to drive packet partial removal or removal into strip box;And edge sealing mechanism, it is set to support frame, and located the side of suction mechanism away from code scanner, edge sealing mechanism is used to package strip box.Such, can realize the automatic association and automatic packaging of strip box and packet two-dimensional code, need not manual association and packaging, improve production efficiency, shorten association time, realize automatic operation.

The invention provides a work content and progress plan association method, system and device based on a BIM model. The method comprises the steps that the BIM model of a project is acquired; obtaining a progress plan library of the project; performing dynamic code association based on the component identification code of each component in the BIM model and the progress plan code in the progress plan library to obtain an associated BIM model; acquiring a post work content library; the post work content code is consistent with the progress plan code; and based on the progress node of the associated BIM model, triggering a post work task corresponding to a post work content code which is the same as the progress plan code in the post work content library, and sending the post work task to a corresponding post worker. According to the invention, the post work content and the progress plan can be associated by using the component identification code, the progress plan code and the post work content code based on the BIM model, so that the project construction management efficiency is improved.

The invention discloses an intelligent data lake management and optimization system and method based on AI drive, and the system comprises a data acquisition module which is used for automatically collecting data from a plurality of data sources; the data preprocessing module is used for preprocessing the original data; the natural language processing module is used for performing deep analysis on the unstructured text data and extracting key business information and entities; the knowledge graph construction module is used for performing structured representation on entities and relationships in various types of data; the data classification and labeling module is used for automatically classifying and labeling the data entering the data lake; and the cross-source data association module is used for realizing intelligent association of the cross-source data. According to the method, key information can be rapidly extracted from a data lake, the utilization rate of data is greatly improved, an enterprise is helped to mine higher business value from existing data, and then business innovation and decision optimization of the enterprise are promoted.

The invention relates to the field of artificial intelligence, in particular to the field of image retrieval, and provides an image retrieval method and device, equipment and a storage medium. The method comprises the steps of determining a to-be-drawn area associated with a target retrieval text in a candidate retrieval image based on the target retrieval text containing cue words, re-drawing image content described by the target retrieval text in the to-be-drawn area, and generating a target retrieval image conforming to the text content, by means of the method, automatic image-text association based on the language model is achieved, the restriction of the image library data size on the retrieval range in a traditional image retrieval method is broken through, the image retrieval range is further expanded, and the image retrieval precision of the model is effectively improved.

The application provides a video private line-oriented topology restoration method and device, the method comprising: selecting an arbitrary video collection terminal in a video private line as a target terminal; determining the upper link relationship and the lower link relationship corresponding to the target terminal through a target mode; the upper link relationship refers to the connection relationship among the target terminal, a broadband remote access server (BRAS), an optical line terminal (OLT) and an optical network unit (ONU) which are uplinked to the target terminal; the lower link relationship refers to the connection relationship between the ONU uplinked to the target terminal and an associated terminal downlinked to the ONU; the target mode comprises one or more of the following: filtering according to a location, filtering according to a physical address, instruction query, message analysis, terminal state traversal and ONU restart through an instruction; concatenating based on the upper link relationship and the lower link relationship to obtain the video private line topology. The application realizes automatic arrangement and automatic association of network topology data among the BRAS-OLT-PON port-ONU-video collection terminal, and has high accuracy.

The invention discloses a method and a system for automatically checking potential safety hazards on a highway construction site, and belongs to the field of data processing. The method for automatically checking the potential safety hazards on the highway construction site comprises the following steps: continuously collecting original data from various intelligent sensing units, the system has the advantages that global real-time sensing is achieved through data collection, lagged manual inspection is replaced, and second-level capture of parameters such as surrounding rock deformation and harmful gas is achieved; information islands are broken through multi-source data fusion, and automatic association and standardization of heterogeneous information such as geology and monitoring are achieved; through multi-engine intelligent diagnosis and analysis result dynamic fusion early warning, active and advanced recognition and millisecond-level decision making of complex risks (such as water inrush precursor) are achieved, and a traditional postmortem reaction type management mode is converted into an active management and control mode of beforehand early warning and automatic disposal.

The invention relates to the field of cloud computing, and particularly discloses a resource transfer method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a resource transfer request initiated by a client, and determining a resource transfer-out party to which a first account belongs and a resource receiver to which the resource transfer request aims; determining the amount of to-be-received resources for the resource transfer-out party from multiple pieces of to-be-received resource information of the resource receiving party; under the condition that the resource transfer-out party has the in-transit resource transfer task corresponding to the resource receiving party, based on the relationship between the resource transfer amount of the in-transit resource transfer task and the to-be-collected resource amount, determining and feeding back an expected transfer amount for the resource transfer request to the client; and under the condition that the client finishes resource transfer according to the expected transfer amount, changing the to-be-received resource information corresponding to the expected transfer amount into a received state. By adopting the method, the resource transfer efficiency can be improved.

The invention provides a master-slave database configuration detection method and device, a storage medium and computer equipment. The method comprises the following steps: acquiring a context configuration file of a changed application code, each initial function method and corresponding class information; obtaining each objective function method for database interaction through the context configuration file, and obtaining each initial Asgard SDK; according to the class information of each target function method, determining a target Asgard SDK (Software Development Kit) of each target function method for database transaction operation; determining each initial call chain according to the call relationship of each target function method, and filtering to obtain each target call chain for the read-only database; and establishing a mapping relationship between a top layer interface of each target call chain and each Asgard SDK, and detecting read-write configuration of the master and slave databases according to each mapping relationship. In this way, the read-write configuration problem of the master database and the slave database is accurately detected.

The invention relates to the technical field of account management, discloses an account association control method and device, equipment and a storage medium, and aims to solve the problems of relatively tedious operation and poor user experience in association control of a traditional official account and a service cloud. The account association control method comprises the following steps: when a target attention event of a target official account is monitored, caching a first open and a first unionid to a memory of a service cloud, and generating a target attention event response message; when skipping to the target applet, matching in a memory of the service cloud by using a second unionid in the user verification parameter; if a consistent unionid is matched, updating the association relationship data cached in the memory according to a second open id in the user verification parameters, at least one service cloud id corresponding to the second open id, the unionid of each WeChat user and the first open id; and in response to the target interaction instruction, performing association control on the target official account, the target applet and the service cloud according to the association relationship data.

The application discloses a food traceability system based on a chain ring type modular traceability architecture, comprising: an entry node module for collecting and storing cargo entry data in a park database; a transfer module for recording state monitoring data of cargo in the process of circulation in a fresh food industry park and storing the data in a transfer database; an exit node module for recording cargo exit data and storing the data in an exit database; a voucher generation module for identifying in-park data of cargo circulation in the park through a traceability voucher ID, and encrypting the traceability voucher ID to generate a delivery order two-dimensional code when the cargo exits the park; and the voucher generation module establishes a mapping table of in-park data and external data. The application also discloses a traceability method of the food traceability system. Compared with the prior art, the application solves the problems of single point failure leading to traceability chain breakage and cross-subject data cooperation difficulty in the existing food traceability system.

The invention discloses an intelligent gateway for a heterogeneous maritime affair broadcast protocol, which comprises a data access layer, an intelligent processing layer and a protocol output layer, and is characterized in that the intelligent processing layer comprises a natural language processing module and is configured to perform semantic analysis on input maritime affair safety information and extract key elements including time, places and event types; the content association engine is configured to establish an association relationship among multi-source information for the same maritime event based on the key elements; the multi-protocol converter is configured to generate broadcast signals conforming to the NAVDAT protocol, the meteorological fax protocol and the NAVTEX protocol according to the incidence relation; and a guidance instruction generator configured to generate a standardized guidance instruction associated across the protocol. According to the intelligent gateway for the heterogeneous maritime affair broadcast protocol, intelligent understanding and automatic association of maritime affair information can be achieved, the problem that multi-system fusion depends on manual operation is solved, and unified, efficient and enhanced information service is provided.