160results about How to "Highly innovative" patented technology

The invention discloses a mirror image type industry linkage engine system and method based on a knowledge graph, and relates to the technical field of industry linkage engines, and the system comprises a data collection module which collects multi-industry data in multiple modes, and the cleaning accuracy is 90% or above; the knowledge graph construction module is combined from bottom to top and from top to bottom, and is used for distributed storage and block chain evidence storage; the industry mirror image model generation module is used for generating a model through machine learning, and the association accuracy is 95% or above; the linkage analysis and decision module is used for finding a linkage strategy through an intelligent algorithm; and the user interaction module has a graphical interface, is fast in response, can feed back optimization, and supports multi-language and VR / AR display. The system is accurate and efficient in data processing, integrates multi-source data to construct the knowledge graph, is deep and comprehensive in industry analysis, simulates industry relations to assist decision making, is intelligent and reliable in decision making support, provides strategies and evaluation, is convenient and friendly in user experience, improves interactivity through multiple technologies, promotes accurate decision making of enterprises, and promotes collaborative development and innovation of the industry.

The invention discloses a knowledge graph-based nursing corpus automatic creation method, and relates to the field of artificial intelligence technology and medical information processing, and the method comprises a multi-dimensional data acquisition stage, a knowledge graph construction stage, a corpus automatic generation and updating stage, and a corpus quality control and evaluation stage. According to the automatic corpus generation method driven by the knowledge graph, dynamic generation and real-time updating of corpora are achieved by constructing an ontology structure, a corpus generation template and an updating algorithm in the nursing field; through a deep learning model and a transfer learning technology, new nursing knowledge and a diversified information structure are continuously introduced into the corpus, and the diversity of corpus content is increased.

The invention provides an audio sound effect generalization tuning method, a medium, equipment and a program product, and relates to the field of audio processing, and the method comprises the steps: when a tuning instruction for a target audio is received, recognizing the tuning instruction to obtain user evaluation information of the target audio, and determining a sound effect parameter vector of the target audio; inputting the user evaluation information into a sound effect mapping model to obtain sound effect adjustment parameters corresponding to the user evaluation information; and performing generalization tuning on the sound effect parameter vector by using the sound effect adjustment parameter. Through application of the method and the device, the user can use the text information to carry out intelligent tone tuning on the audio according to own demands and preferences, the sound effect quality and the individuation degree are improved, the sound effect demands of different scenes and audiences can be met, and higher flexibility and innovativeness are brought to the fields of music making and audio processing.

The invention discloses an official document generation system and method based on a large model, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of low official document format and content accuracy, poor material failure and poor content innovation in official document generation. Comprising a model training module used for performing model training on an official document generation model based on official document samples in an official document sample library; the model fine tuning module is used for performing layered fine tuning on the trained official document generation model; the cue word optimization module is used for carrying out cue word matching on user input based on a built-in cue word set; the outline generation module is used for calling a final official document generation model to generate an official document outline based on the cue word combination and user input; and the official document generation module is used for calling the final official document generation model to generate and output an official document body based on the user input and the final official document outline, and calling the privacy data shielding module to shield the privacy data in the official document body.

The invention discloses a gas extraction drilling track inversion and control system, and relates to the technical field of gas extraction, and the key points of the technical scheme are that the system comprises a high-gas coal seam rapid control elimination and reduction system and a gas injection flow increasing dynamic evaluation system; according to the rapid control elimination and reduction system for the high-gas coal seam, a method of combining experimental research, numerical simulation and on-site industrial tests is adopted, the coal seam gas occurrence rule of a working face of a Chengne mining area is obtained, the multi-component gas competitive adsorption rule of a three-soft coal seam is defined, and therefore gas injection driving key technical parameters of a coal seam gas abnormal target area are mastered; a gas injection drive gas-carrying rapid and accurate extraction technical system suitable for the gas abnormal area of the Chengne mining area is formed; according to the gas injection flow increasing dynamic evaluation system, working parameters are designed and monitored, the gas concentration is accurately monitored, and real-time detection and automatic early warning are achieved.

The invention discloses a massage chair real-time control method and system based on electromyographic signals and a computer medium. The method comprises the steps that the electromyographic signals of a current massage user are obtained; extracting time domain features, frequency domain features and geometric features of the electromyographic signals; obtaining a real-time muscle state according to the time domain feature, the frequency domain feature and the geometric feature of the electromyographic signal; and controlling the massage strength and rhythm of the massage chair according to the real-time muscle state and the historical massage data of the current massage user. By analyzing the long-term muscle state and massage record of the user, an instant personalized massage scheme is generated for each user. Therefore, the actual requirements of the user can be better met, the system can provide more accurate and personalized services for the user, and the optimal user experience can be achieved.

The invention provides an automobile product interactive design system based on multi-dimensional user experience data analysis, and relates to the technical field of automobile engineering. The master control system comprises a data collection and preprocessing module, a user behavior analysis module, a user portrait generation module, an interactive design optimization module, a real-time feedback and adjustment module and a visualization and interactive feedback module. And the interactive interface is dynamically adjusted. The personalized design not only improves the driving comfort of the user, but also enhances the sense of belonging to the vehicle and the satisfaction degree of the user to the vehicle. In addition, the intelligent function of the system can learn the behavior pattern of the user, continuously optimize the interactive experience, and ensure that each driving is customized.

The invention relates to the field of artificial intelligence, and provides a presentation file automatic generation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: calling a first model interface, and introducing presentation file outline information or presentation file theme information and typesetting prompt information to obtain a first return result; generating a paging prompt content sequence according to the first return result; the target theme style and the paging prompt content sequence are input into a pre-trained presentation file typesetting design model, a paging typesetting design description sequence is obtained, the paging typesetting design description sequence comprises a plurality of typesetting pages, and one typesetting page corresponds to one typesetting design description; and generating a target presentation file based on the paging typesetting design description sequence and the target theme style, and outputting the target presentation file. The PPT generated by the method is more compact in structure and better in logicality, and the PPT typesetting design has better novelty and uniqueness, so that the personalized requirements of users can be better met.

The invention discloses a monitoring method of a printing and dyeing intelligent manufacturing system based on a bimodal monitoring network, and the method comprises the steps: 1, data collection and preprocessing: a visual monitoring module and an auditory monitoring module work synchronously, and collect image and sound data in a cloth printing and dyeing process in real time; 2, data fusion and analysis: carrying out feature extraction on the image and sound data collected in the step 1, carrying out data fusion and comprehensive analysis, and generating a comprehensive evaluation report of the running state and the product quality of the printing and dyeing equipment; the dual-mode monitoring makes up the deficiency of single-mode monitoring, provides more comprehensive and accurate monitoring information, and improves the precision of fault detection and quality control.

The invention discloses a wind turbine blade trailing edge beam and core material lap joint sandwich initial failure position prediction method, and relates to the technical field of wind turbine blade structure damage failure prediction methods. Damage of a sandwich structure panel and a core material in a shear failure mode is characterized as a lap joint sandwich structure formed by combining a laminated plate area, a conventional sandwich area and an inclined plane lap joint sandwich structure area; respectively calculating the cross section bending rigidity of the conventional sandwich structure, the neutral layer position of the inclined plane lap joint sandwich structure and the cross section bending rigidity distribution of the inclined plane lap joint sandwich structure, and calculating the cross section bending rigidity distribution of the inclined plane lap joint sandwich structure on the basis of the neutral layer distribution function inflection point in the length direction of the inclined plane lap joint sandwich structure and the descending slope of the cross section bending rigidity distribution function; the initial failure position of the lap joint sandwich structure of the blade trailing edge beam and the trailing edge core material is predicted. The method provides an important theoretical basis for in-service wind power blade design, health prediction and repair decision making, and has great method innovation and engineering application values.

The invention discloses an investigation and design enterprise asset multivariate heterogeneous data fusion and knowledge graph construction method, which comprises the following steps: acquiring enterprise asset data information including structured data and unstructured data; invalid and missing value removal processing is carried out on the structured data, and meanwhile, the cleaned numerical data is converted into a text format; performing text data standardization processing and optimization on the unstructured data and the structured data after the text format, and constructing word vectors while performing text disambiguation standardization; respectively extracting features of the structured data and the unstructured data by using a decoder BERT model; fusing all kinds of data characteristics by using a Lite Transform to construct a knowledge graph; the problems that existing investigation and design enterprises are huge in data scale and uneven in data quality, corresponding design histories and collected field related information cannot be rapidly obtained from historical data, and consequently, early-stage investigation data are repeated, and later-stage design is inconsistent are solved.

The embodiment of the invention provides an educational resource data sharing method and system, and the method comprises the steps: distributing a first conference role or a second conference role of a multimedia teaching conference for each conference terminal participating in the conference when the multimedia teaching conference is created, and enabling different conference terminals to be arranged in different classrooms; acquiring educational resource data in real time from the first conference terminal to which the first conference role is allocated; and sharing the educational resource data to a second conference terminal to which the second conference role is allocated, so that the second conference terminal displays the educational resource data. According to the embodiment of the invention, cross-region and cross-school real-time sharing of educational resources is realized, effective utilization and fair distribution of high-quality educational resources are promoted, and balanced development of education and improvement of teaching quality are promoted.

The invention discloses an end-side cloud system-oriented multi-task joint scheduling method, which comprises the following steps of: firstly, constructing an end-side cloud system multi-task joint scheduling model on the basis of uniformly describing nodes and tasks of an end-side cloud system; secondly, by taking maximization of the expected benefit of the multi-task joint scheduling as an optimization target, establishing an optimization problem solving constraint, and realizing construction of the optimization problem of the multi-task joint scheduling of the end-side cloud system; and finally, a mode of combining a heuristic strategy and nonlinear optimization solution is adopted to realize step-by-step decision of task execution nodes and task allocation resource quantity, and final generation of a multi-task joint scheduling scheme of the end-side cloud system is completed. According to the method, concurrent computation-intensive task joint scheduling highly suitable for the end-side cloud system can be realized from three aspects of multi-task joint scheduling model construction, multi-task joint scheduling optimization problem establishment and multi-task joint scheduling scheme generation.

The invention discloses a harmonic suppression and dynamic reactive compensation control method for an energy router, which is suitable for a micro-grid and a distributed energy access system. According to the method, three-phase current and voltage signals of an alternating current port of the energy router are collected, five-time and seven-time main harmonic components are extracted through fast Fourier transform, harmonic compensation current instructions equal in amplitude and opposite in phase are generated and injected into an inverter to be output, and active counteracting of main harmonics is achieved. Meanwhile, the bus voltage deviation and the change rate thereof are detected, a reactive current instruction is adjusted on line by adopting a fuzzy self-adaptive PI controller, rapid and smooth dynamic reactive compensation is realized, and the bus voltage is stabilized. Decoupling control of active / reactive and harmonic components is realized in combination with Park conversion, and virtual impedance is introduced to enhance system damping and harmonic suppression capabilities. Compared with the prior art, harmonic suppression and voltage support can be simultaneously realized under a single control framework, the response speed is high, the stability is high, and the method is suitable for high-performance grid-connected operation of the multi-port energy router.

The invention discloses a production method of full-fishy-smell-removed soybean milk powder, and relates to the technical field of food, and the production method comprises the following specific steps: (1) soaking: soaking soybeans in white vinegar for 14-16 days, and grinding to obtain coarse soybean milk; (2) deodorization treatment: adding a compound enzyme into the coarse soybean milk for enzymolysis and deodorization to obtain an enzymatic hydrolysate, and then sequentially adding beta-cyclodextrin and activated carbon into the enzymatic hydrolysate for deodorization treatment to obtain deodorized soybean milk; wherein the compound enzyme is composed of alkaline protease, flavourzyme and lipase; and (3) sequentially homogenizing, sterilizing and spray-drying the de-fishy soybean milk to obtain the fully de-fishy soybean milk powder. Through combined application of multiple steps and multiple technologies such as soaking pretreatment, compound enzymolysis deodorization, beta-cyclodextrin inclusion and activated carbon adsorption, the beany flavor and other peculiar smell components of soybeans can be thoroughly removed, so that the produced soybean milk powder has pure and fresh flavor, and the taste and market acceptability of the product are greatly improved.

The invention relates to the technical field of artificial intelligence and the field of financial science and technology, and discloses a task solution strategy generation method, which comprises the following steps: acquiring a task demand, constructing preliminary prompt information containing roles, task requirements and scheme generation guidance based on the task demand, inputting the preliminary prompt information into a preset language model to generate a preliminary solution, and generating a task solution strategy; analyzing the preliminary solution to extract a plurality of solution strategies, constructing review prompt information for each solution strategy and inputting the review prompt information into a preset language model to generate a score, determining a target solution strategy of which the score exceeds a preset score threshold, generating specific execution content for each target solution strategy, analyzing the execution content and determining an execution score, and performing priority ranking on the target solution strategies based on the execution scores to generate a priority list. According to the method, a better solution is generated through analysis of automatic processing task requirements, generation of solution strategies and priority ranking, customer requirements are quickly responded, and the development cost is reduced.

The invention discloses an efficient warehousing system and method suitable for large-particle-size aggregate low-slump concrete, and belongs to the technical field of concrete.The efficient warehousing system comprises an upper lock head conveying unit and a lower lock head conveying unit which are symmetrically arranged at the upper lock head position and the lower lock head position of a ship lock hub body correspondingly; each of the upper lock head conveying unit and the lower lock head conveying unit comprises a main conveying line and three branches, the main conveying line is composed of six stages of belt conveyors which are connected end to end in the longitudinal direction in a high-low mode, the three branches are arranged at the rear position of the outer side of the main conveying line at intervals, and each branch is composed of a belt conveyor; two stages of material distributing mechanisms are arranged on one side corresponding to each branch, and each stage of material distributing mechanism is composed of three material distributing mechanisms which are arranged at intervals. The warehousing efficiency of large-particle-size aggregate and low-slump concrete is improved, the quality of mass concrete during pouring is guaranteed, the construction period is shortened, and the cost is reduced.

The invention discloses a customer demand mining method and system in modification research and development of a high polymer material. The mining method comprises the following steps: receiving a user demand, obtaining core elements, outline content and viewpoint content, generating a query keyword and returning external evidence, modifying and optimizing the viewpoint content, and filling or expanding the viewpoint content into a complete answer as output; querying material data from a material characteristic database according to the customer demand analysis report, performing material characteristic simulation, and generating a material characteristic analysis report; and based on the dynamic report, the customer demand analysis report and the material characteristic analysis report, generating at least one modification scheme by using the high polymer material modified large model as a base model, evaluating the feasibility of the scheme by using simulation software, predicting the performance and potential problems of different modification schemes by applying machine learning, and generating a modification scheme report. By realizing automation and intelligentization of the research and development process, the research and development efficiency of high polymer material modification research and development is improved, and the development period is shortened.

The invention relates to the technical field of oxygen reduction catalysts, in particular to a transition metal-based triatomic oxygen reduction catalyst and a preparation method and application thereof. The invention relates to a preparation method of a transition metal-based triatomic oxygen reduction catalyst. The preparation method comprises the following steps: dispersing carbon nanotubes in a solvent to obtain a dispersion liquid; adding transition metal acetate, urea and 4, 4 '-dihydroxy [1, 1'-biphenyl]-3, 3 ', 5, 5'-tetracarboxaldehyde into the dispersion liquid, performing ultrasonic treatment to obtain mixed liquid, and then performing heating reaction in an inert atmosphere; and after the reaction is finished, naturally cooling to room temperature, filtering, washing and drying to obtain the transition metal-based triatomic oxygen reduction catalyst. The catalyst designed by the invention not only has an efficient catalytic active site, but also remarkably improves the material transmission efficiency and enhances the utilization rate of a catalytic active center by optimizing the structure of a composite material, so that the synergistic enhancement of the electro-catalytic performance is realized.

The invention discloses a main line intersection CAV special lane setting method and a self-adaptive control system in a mixed driving environment. The method comprises the following steps: collecting information in real time; according to the current CAV permeability, the traffic capacity in the trunk line direction in three different states is calculated, the maximum net income of the traffic capacity is calculated, and then lane function switching judgment conditions are set in a mode of comparing the maximum net income of the traffic capacity; the lane function switching judgment condition is used for judging whether to open or close a CAV special lane, and determining that the CAV special lane is set as a CAV full-steering special lane or a CAV straight special lane; and iteratively optimizing the generated signal control scheme by adopting a PS-PPO-based multi-agent deep reinforcement learning algorithm, and generating an optimal signal control scheme in real time. According to the invention, the hybrid lane and CAV lane functions are dynamically adjusted according to the change of the CAV permeability, the cooperative optimization of the lane functions and the signal control scheme is realized, and the traffic efficiency of the trunk line intersection is improved to the greatest extent.

This invention belongs to the field of engineering machinery technology and relates to a construction method for a variable-diameter drilling and reaming integrated pile driver. It solves the problem that existing drilling and reaming integrated pile drivers cannot change diameter. The construction method is based on a variable-diameter drilling and reaming integrated pile driver, which includes an active pipe, a driven pipe, an upper wing plate seat, a lower wing plate seat, and a reaming arm. The reaming arm is formed by connecting an upper wing plate and a lower wing plate. The upper wing plate is formed by connecting an upper wing plate and an upper wing plate link, and the lower wing plate is formed by connecting a lower wing plate and a lower wing plate link. The construction method determines the length of the reaming arm to be connected by adjusting the position of the upper wing plate seat on the gear key and the position of the lower wing plate seat on the driven pipe. Then, it adaptively adjusts the number of wing plate link connections. Through the coordinated cooperation between the components, it achieves reaming operations for different pile diameters, angles, and sizes, which is simple, convenient, and greatly improves construction efficiency.

This invention relates to the application of the inhibitor NP-G2-044 in the preparation of breast cancer drugs, belonging to the field of biomedical technology. It aims to address the problems of drug resistance and significant toxic side effects in existing breast cancer treatments. This invention provides the application of NPG2044 in inhibiting breast cancer cell proliferation and regulating apoptosis, and constructs a combination therapy system of NPG2044 and doxorubicin. Cell proliferation inhibition rate was detected by CCK8 assay, and the expression of apoptosis-related proteins Bax, cleaved PARP, and Bcl2 was detected by Western blot. NPG2044 can specifically inhibit breast cancer cell proliferation and induce apoptosis. Its combination with doxorubicin exhibits a synergistic effect, reducing the single-drug dosage and toxic side effects, providing a new target and combination therapy strategy for breast cancer treatment.

The invention discloses a roe polypeptide composition with an immunity enhancing function, a preparation method, application and a preparation, and belongs to the technical field of bioactive polypeptides, the composition comprises at least one of polypeptides with the amino acid sequence being RWFPGKPLFWRA, FWKPLRGALFPW or KWRFPGALPWFA, the molecular weight is 1400-1550 Da, the preparation method comprises roe protein extraction, composite enzymolysis, ultrafiltration separation, chromatographic purification and solid-phase synthesis, and the roe polypeptide composition is prepared from the roe polypeptide composition with the immunity enhancing function. Animal experiments prove that the polypeptide can significantly enhance cellular immunity, humoral immunity, mononuclear-macrophage functions and NK cell activity, the mechanism relates to TLR2 / TLR4 receptor activation and NF-kB / MAPK signal pathways, and the polypeptide is good in safety and suitable for being developed into immunological enhancement health food or medicine.

A method, an apparatus, a computer readable medium, and a computer program product for performing performance assessment on a task are provided. The method comprises the steps of performing basic data configuration on a task; receiving task data related to the task; matching a plurality of algorithm models based on the basic data configuration, and processing the task data using the plurality of algorithm models to generate a plurality of weights; and calculating a contribution score of the task for the task data based on the plurality of generated weights so as to perform performance assessment on the task.

The invention relates to the technical field of natural language processing and mapping knowledge domain, and particularly discloses a mapping knowledge domain relation extraction method fusing a syntactic structure and a domain rule. The method aims at solving the problems of semantic understanding deviation and insufficient domain knowledge utilization in vertical domain relation extraction. The method comprises the steps that dependency syntactic analysis is conducted on a text, a syntactic dependency adjacency matrix is constructed, and meanwhile a rule adjacency matrix is generated based on domain rule base matching; carrying out weighted fusion and filtering on the two types of matrixes to obtain an enhanced adjacent matrix; inputting the matrix and a text vector into a graph convolutional network fused with a dependency type attention mechanism, and learning to obtain a node enhancement representation; and finally constructing an entity pair feature vector to finish relationship classification. Through explicit fusion of interpretable syntactic rules and domain priori, the accuracy and robustness of relation extraction in professional fields such as a power distribution network are improved. Experiments show that the model relation extraction F1 value reaches 86.07% and is improved by 1.31% compared with a baseline model with the optimal performance.

The present application relates to a kind of based on platform recommendation utility characterization implementation social platform information propagation prediction method, comprising the following steps: generating social content representation and social user representation;Social platform recommendation vector is built;According to network structure channel, the propagation process is predicted;Fusion platform recommendation channel;Decoding obtains subsequent time infected user.The present application also relates to a kind of based on platform recommendation utility characterization implementation social platform information propagation prediction device, processor and its computer readable storage medium.The momentum updating mode is used to iteratively update platform recommendation vector in the present application based on platform recommendation utility characterization implementation social platform information propagation prediction method, device, processor and its computer readable storage medium, can keep the stability of feature semantic distribution, using the idea of gated network, platform recommendation mechanism is regarded as parallel channel with friend propagation, when carrying out propagation prediction, the influence of platform recommendation mechanism is introduced.

The application discloses an outdoor folding LED magic cube advertising screen remote delivery management system, which comprises a remote cloud management platform, a posture sensing feedback module, a sub-surface rendering mapping processing module, a multi-panel independent playing driving module and a folding LED magic cube advertising screen body; the folding LED magic cube advertising screen body is a multi-surface foldable shape-changing magic cube structure, which is composed of a plurality of independently openable and closable and rotatable LED folding panels; each folding panel can independently display a picture and support multi-angle folding shape change; through a sub-surface rendering mapping model, shape-changing adaptive material splitting and pixel correction are realized; all working conditions such as full folding, half unfolding and full unfolding of the magic cube are adapted; the picture dislocation, distortion and tearing caused by folding shape change are completely solved; and the consistency, high definition and stereoscopic sense of the multi-surface advertising display effect are ensured.

This invention belongs to the field of microbial fermentation and functional food technology, specifically relating to a postbiotic composition derived from *Lactobacillus helveticus* CICC6024, its preparation method, and its applications. The postbiotic composition of this invention achieves multi-target synergistic regulation of blood glucose through three pathways: inhibiting α-amylase and α-glucosidase, significantly improving glucose consumption in insulin-resistant cells, and restoring the activity of key enzymes in glucose metabolism. Using LC-MS / MS peptidomics technology, the components of the postbiotic were systematically analyzed, and 27 fermentation-specific differentially produced peptides were identified, providing a clear material basis for its efficacy and achieving a leap from a "black box" to a "clear map."

The utility model provides a wire harness with a flame-retardant structure, which relates to the field of wire harnesses, and comprises an inner core assembly, the main body of the inner core assembly is a cable, and the outer side of the inner core assembly is wrapped with an inner insulating layer. In order to solve the problem that a corresponding flame-retardant structure needs to be arranged due to the fact that the cable is fractured when being worn and is easily subjected to detonation and other potential safety hazards when being connected with an external conductor at a high temperature, multiple insulation and shielding structures, namely an inner insulation layer, an outer insulation layer and a shielding layer, are arranged, so that the insulation performance and the anti-electromagnetic interference capability of the wire harness are greatly improved, and the service life of the wire harness is prolonged. The electric leakage risk caused by poor insulation is effectively reduced, the potential safety hazard of detonation caused by connection between high temperature and an external conductor is avoided, the safety performance of a traditional wire harness is innovatively improved, and the design of the spiral tensile assembly enhances the tensile capacity of the wire harness.

The utility model belongs to the in-situ soil sample tester technical field relates to a portable electric penetration appearance, its characterized in that: including test base, connecting assembly and penetration assembly, the upper end of test base is installed with penetration assembly through connecting assembly. The portable electric penetration appearance, the structure design of test base and penetration assembly integration in prior art is dismantled the split type structure of test base and penetration assembly through connecting assembly, greatly reduces the storage volume, and it is convenient to carry back and forth, convenient to use.