13results about How to "Meet real needs" patented technology

The invention belongs to the field of nuclear power engineering, and particularly relates to a nuclear power engineering drawing recognition method and system based on a visual language multi-modal large model, and the method comprises the following steps: obtaining a to-be-recognized nuclear power engineering drawing and a text input by a user, comparing the drawing information with a data set based on the multi-modal large model, and obtaining a recognition result; and verifying the logic consistency of the information on the drawing by using a multi-modal data fusion technology, and outputting a verification result and analyzing the information. Compared with the prior art, the challenges of complexity, accuracy and the like encountered by a traditional drawing recognition method in the nuclear power engineering field are solved; according to the scheme, an advanced multi-modal large model (visual language large model) is fused, nuclear power engineering drawings and related document data are combined, a hidden association mode is mined through organic combination of multi-modal data, the recognition and analysis effect is improved, and the limitation of traditional single-modal analysis is broken through.

The invention provides a question and answer method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. Performing intention recognition on the question text to obtain an intention recognition result; determining a target query function from a plurality of query functions based on the intention recognition result; based on the target query function, querying the knowledge graph to obtain a query result; and generating an answer text based on the query result. Through the mode, different query requirements and question and answer requirements of users can be dynamically adapted, the stability and consistency of query results can be improved, effective information of the knowledge graph can be fused, and accurate and reliable answer texts can be generated, so that the answer accuracy and reliability of the intelligent question and answer system can be ensured under the complex condition of dynamic change, and the user experience can be improved. And the real requirements of users on accurate questions and answers are met.

The invention relates to the technical field of fan quality evaluation, in particular to a vehicle-mounted fan state evaluation method based on multi-information fusion, and the evaluation method comprises a quality detection step which comprises the following steps: collecting thermotechnical data, image information, three-phase current, vibration speed, sound and vibration acceleration of a vehicle-mounted fan; calculating the fan power according to the thermotechnical data; extracting blade turning information according to the image information; current unbalance is extracted according to the three-phase current; calculating an RMS value according to the vibration speed; calculating sensitive characteristics according to the sound and vibration acceleration; and judging whether the vehicle-mounted fan is qualified or not based on the fan power, the blade steering information, the current unbalance amount, the RMS value and the sensitive characteristics, comprehensively realizing the quality evaluation of the factory product by combining the industry standard and the machine learning method aiming at the obtained multiple physical quantity signals of the factory vehicle-mounted fan, and further performing grade evaluation. And finally, fault identification is realized based on an evaluation result, and the accuracy and the practicability are high.

The application provides a kind of digital resource retrieval system and method based on multi-modal and AI intelligent agent, it is related to electric digital data processing technical field, its method includes obtaining multi-modal query data and pre-processing, feature extraction and cross-modal semantic alignment, generates query vector set;Identify user category and accordingly the query vector set is semantically enhanced, and generates enhanced query vector;The enhanced query vector is matched with knowledge graph to determine the target node, and the extended query vector is generated along the semantic diffusion of knowledge graph;Based on the agent collaborative mechanism, the extended query vector is sequentially executed, and the parallel retrieval, fusion and sorting and confidence correction are carried out, and the modified sorting result is obtained;According to the scene adaptation factor, the modified sorting result is reordered, and the digital resource retrieval result is output in combination with the user category, so that user perception, semantic expansion and multi-agent collaborative retrieval for multi-modal education scene can be realized, and the accuracy and personalized adaptation degree of digital resource retrieval are improved.

The present invention can be used in the field of artificial intelligence technology. The present invention provides a user rights matching method and device, including: obtaining user data of a target user and historical redemption rights data of the target user; matching rights for the target user according to the user data, historical redemption rights data, and a user rights matching model pre-established based on a neural network. The present invention establishes a relationship between rights resources, users, and associated users, and provides a rights matching method with more extensiveness and iterative optimization mechanism. Based on knowledge graph technology, the present invention can link users with users, and users with hidden rights and interests, so as to assist in pushing more accurately and make the push results traceable. On the one hand, the rights and interests library resources can be fully utilized so that all kinds of rights and interests resources can be released; more targeted rights and interests benefits can be pushed to users to better meet the real needs of customers, reduce user search time, and improve user experience.

The invention discloses an information interaction method and device, equipment and a storage medium, and the method comprises the steps: carrying out the intention recognition of a natural language service request of a user, planning the calling of at least one target task according to the request intention, and analyzing the parameter value of the target task from the natural language service request; next, according to the task and the parameter value, retrieving matched historical perception event data from a database; then, based on the natural language service request and the retrieved historical perception event data, reply information is generated; and finally, according to the reply information, generating a natural language reply of the query and outputting the natural language reply. According to the scheme, calling of the target task is planned through the recognized request intention, the accuracy of understanding complex queries is improved, the accuracy rate of information retrieval is guaranteed, and therefore it is guaranteed that the accurate natural language reply meeting the real requirements of a user can be generated.

The application relates to a medicine infusion device, which comprises a shell for mounting a medicine storage device, a driving mechanism and a control circuit board, the driving mechanism comprising a sleeve, a motor and a push rod, the sleeve being fixedly mounted on the inner wall of the shell, and the push rod being slidingly mounted in the inner cavity of the sleeve; one end of the push rod abuts against the piston of the medicine storage device, and the other end is rotationally connected with the rotating shaft of the motor; the motor is conductively connected with the control circuit board; the shell further comprises a flexible circuit board, which is mounted on the motor; a conductive device is arranged on the push rod, and the conductive device is used for triggering the conductive communication between the flexible circuit board and the control circuit board at the initial position of the push rod. The medicine infusion device provided by the embodiment uses the flexible circuit board to monitor the motor reset, the structure is more compact, and the internal space of the medicine infusion device is reasonably utilized.

The application discloses a sound signal processing method and device, a virtual reality device and a storage medium. The method comprises the following steps: obtaining a gaze track of a user and sound body information in a field of view of the user, wherein the sound body information comprises position information and acoustic classification information of each sound body; obtaining attention information of the user to each sound body according to the gaze track and the position information of each sound body; and processing a sound signal emitted by each sound body according to the attention information of the user to each sound body and the acoustic classification information of each sound body. The technical scheme of the application can design a sound processing scheme for a sound body according to the attention degree of the user to the sound body, so that the processed environmental sound meets the real needs of the user, the user can obtain the environmental sound that he / she pays attention to, and the hearing effect provided by the virtual reality device has high fidelity.

The invention relates to a double-sided magnetic power bank with a built-in intelligent temperature control system, and the power bank comprises a bottom plate and a cover plate which are combined to form a housing with a battery compartment inside. The battery is mounted in the battery compartment; the PCB is installed on the inner wall of the cover plate and located on the front side of the battery; the distributed temperature sensing network is composed of a plurality of thermistors arranged at a plurality of key thermal nodes in the power bank and is used for collecting temperature signals; the main control MCU is mounted on the PCB and is coupled to the distributed temperature sensing network; wherein a first magnetic attraction module is arranged in the bottom plate, and a second magnetic attraction module is arranged in the cover plate, so that the double-sided magnetic attraction function of the power bank is realized. The magnetic attraction module and the wireless charging coil are integrated on the two faces of the bottom plate and the cover plate, simultaneous wireless charging of the two high-power devices is achieved, the charging efficiency and the flexibility of use scenes are greatly improved, and the real requirements of multi-device users are met.

The large-scale debris flow accumulation fan development period and disaster history construction method comprises the following steps: 1, field division of debris flow deposition structure and period unit; 2, analysis of debris flow thick fan degree change and boulder distribution by geophysical prospecting; 3, based on steps 1 and 2, complete the sampling of debris flow fan horizontal and longitudinal section layout; 4, based on the collected information, complete the dating analysis and age constraint; 5, according to the test analysis result of step 4, complete the establishment of debris flow fan development period and age sequence; 6, based on the above steps, complete the debris flow fan evolution process and disaster history construction; the method can complete the dating of the top of the accumulation fan and the overlying colluvial soil system and the dating of the bottom of the accumulation fan and the river-lake facies sand layer system; through debris flow numerical simulation, the long-time-scale debris flow development period can be reconstructed, the short-term observation disaster data deficiency can be supplemented, and the practical needs of major debris flow fan history reconstruction and disaster prevention and mitigation engineering can be met.

The invention discloses a content recommendation method and related products, and the content recommendation method comprises the steps: generating a content recommendation candidate set of a content recommendation request initiated for a first object, the content recommendation candidate set comprising candidate content Mi, and obtaining a feature fusion vector corresponding to the candidate content Mi; in the recommendation score prediction model, determining a target prediction sub-network from a concern state prediction sub-network and a non-concern state prediction sub-network according to the concern state of the first object for the content publishing object corresponding to the candidate content Mi, and performing recommendation score prediction processing on the feature fusion vector through the target prediction sub-network, obtaining a recommendation score corresponding to the candidate content Mi; and performing optimization sorting processing on the N candidate contents according to the recommendation score corresponding to each candidate content to obtain an optimized content recommendation set, and sending the optimized content recommendation set to a first terminal corresponding to the first object, so that the first terminal displays the optimized content recommendation set in sequence.

The invention discloses a financial product recommendation method and device and related equipment, and the method comprises the steps: firstly obtaining user operation sequence data and online operation behavior data, and carrying out the preprocessing; and then, inputting the preprocessed data into a pre-trained gating loop unit (GRU) model, and extracting user behavior characteristics. And finally, inputting the features into a pre-trained deep reinforcement learning model to generate a financial product recommendation result. In the training process of the deep reinforcement learning model, user behavior characteristics are used as an input state, financial product recommendation results are used as execution actions, and a reward function is constructed according to financial product risk degrees and / or user personal preferences, so that the model can learn an optimal recommendation strategy, and personalized requirements of users are met while risks are controlled.

The application provides a kind of digital resource retrieval system and method based on multi-modal and AI intelligent agent, it is related to electric digital data processing technical field, its method includes obtaining multi-modal query data and pre-processing, feature extraction and cross-modal semantic alignment, generates query vector set;Identify user category and accordingly the query vector set is semantically enhanced, and generates enhanced query vector;The enhanced query vector is matched with knowledge graph to determine the target node, and the extended query vector is generated along the semantic diffusion of knowledge graph;Based on the agent collaborative mechanism, the extended query vector is sequentially executed, and the parallel retrieval, fusion and sorting and confidence correction are carried out, and the modified sorting result is obtained;According to the scene adaptation factor, the modified sorting result is reordered, and the digital resource retrieval result is output in combination with the user category, so that user perception, semantic expansion and multi-agent collaborative retrieval for multi-modal education scene can be realized, and the accuracy and personalized adaptation degree of digital resource retrieval are improved.