18results about How to "Short generation cycle" patented technology

The invention discloses an industry report generation optimization method and system based on reinforcement learning and a knowledge graph, and relates to the technical field of industry report generation, and the method comprises the following steps: firstly, collecting industry data from multiple sources, preprocessing the industry data, determining the collection frequency according to the type and importance, then constructing the knowledge graph, and recognizing entities by using a plurality of technologies. Designing a reinforcement learning model, defining space and reward functions such as states and actions, training according to a specific algorithm, analyzing and generating a preliminary report according to user requirements by means of the model and graph selection data, combining an optimization algorithm with a language model and a graph to improve the report, and finally evaluating, feeding back and adjusting a parameter strategy to improve system performance. The method can improve the industry report generation efficiency, optimize the report quality, enhance the depth and accuracy, adapt to different requirements, can be self-promoted, and effectively assists the decision and development of each industry.

The invention provides an intelligent generation method and device for a grid structure chart. The generation method comprises the following steps: acquiring basic information in a power distribution network; constructing a topological relation graph based on the basic information; based on the topological relation graph, generating a basic structure graph by using an intelligent mapping algorithm; the basic structure diagram is optimized, and a visual grid structure diagram is generated; and correcting and updating the grid structure diagram by using a CIM model. By applying the intelligent generation method and generation device of the grid structure diagram, the accuracy and integrity of data can be ensured, graphic errors caused by data problems are reduced, the basic structure diagram is generated by utilizing an intelligent mapping algorithm, manual intervention and inspection are reduced, the generation efficiency of the grid structure diagram is improved, and the generation efficiency of the grid structure diagram is improved. The generation period of the grid structure diagram is shortened; the user experience is improved, and the method has high applicability and expandability and can meet the requirements of different industries and projects.

The invention relates to the field of crop pest monitoring, in particular to a method for identifying or monitoring tetranychid damage based on hyperspectrum. In order to solve the problems that the tetranychus urticae is small in size, the harmful symptoms are not easy to discover, and detection and monitoring are difficult, the method has the advantages of a traditional imaging technology and a spectrum technology based on the characteristic that a hyperspectral imaging technology has an image-spectrum unification function, hyperspectral information of plant leaves damaged by the tetranychus urticae is obtained by utilizing a hyperspectral imager, and the method is used for detecting and monitoring the tetranychus urticae. The rapid monitoring and identification method is developed by carrying out classification research on the hyperspectral reflectivity data of the plants, and optional technical support and scientific guarantee are provided for agricultural production.

The invention discloses a technology for shortening a cotton breeding cycle and application thereof, and the technology comprises the following steps: 1, accelerating budding and flowering under mixed light of blue light, green light, red light and far-red light; 2, performing GA3 treatment to promote germination of immature embryos; 3, using the created L-mAUH and mAUH cotton immature embryo culture medium to culture the 25-28-day-old cotton immature embryos into seedlings; fourthly, the first step, the second step, the third step and the fourth step are circularly carried out for multiple times, in the process, molecular markers are used for carrying out auxiliary selection on the good characters of the foreground, and meanwhile whole genome re-sequencing is used for carrying out background auxiliary selection. The method has the advantages that by means of efficient blue, green, red and far-red spectrum adjustment, GA3 treatment, immature embryo culture, molecular marker selection and whole genome re-sequencing, cotton growth and development can be remarkably accelerated, and the cotton breeding period is effectively shortened. According to the method, a conventional backcross breeding process can be effectively integrated, excellent characters can be quickly transformed, and an improved line with a high genetic background recovery rate can be obtained within 1.5 years.

The application provides an enterprise report AI dynamic generation and analysis method and system, and relates to the technical field of data report generation. The method comprises the following steps: obtaining multi-source business data and parsing to obtain a standardized data set, calculating field correlation strength and matching with business rules to obtain effective correlation fields, extracting business semantic labels from the effective correlation fields and matching with report templates to obtain candidate structures, analyzing the dependency relationship of data filling positions to construct a directed acyclic graph and topologically sort to obtain a calculation sequence, extracting fields in sequence to fill in derived indicators to obtain an initial report, fitting the trend of numerical fields of the initial report to identify abnormal fluctuation intervals, traversing the directed acyclic graph in reverse to locate upstream influence nodes, calculating the time coincidence degree of the upstream node associated original field time segments to screen abnormal attribution results, and embedding to generate a target report.

The application discloses an automatic quantitative glue coating and plugging system based on 3D vision, which comprises an industrial computer, a movable platform, a mechanical arm, a 3D camera, a plug stock bin assembly and a terminal device; the mechanical arm is provided with the 3D camera and the terminal device at the tail end; the terminal device comprises a pneumatic gripper assembly, a glue coating assembly and a glue scraping plate; when coating, the industrial computer controls the mechanical arm to drive the 3D camera to move to the top of a hole to be coated to obtain point cloud data of the hole to be coated, and processes the point cloud to obtain the center coordinates, the radius and the depth of the hole to be coated; the industrial computer calculates the glue coating amount according to the radius and the depth of the hole and the glue coating thickness; the plug stock bin assembly pops out a plug matched with the radius of the hole; after the industrial computer controls the pneumatic gripper to take out the popped plug, the industrial computer controls the glue coating assembly to move to the center coordinates to coat glue according to the calculated glue coating amount, and after coating, the industrial computer controls the pneumatic gripper to put the taken plug into the hole.

The application relates to an end-to-end petroleum business knowledge graph construction method based on a large language model, which comprises the following steps: acquiring multi-source data in a petroleum business field to form rich corpus information; constructing a knowledge extraction module, designing a petroleum business field special prompt template, extracting and generating input data under instruction prompts by using a large language model, and outputting entity relationship triple knowledge structure; constructing a knowledge consistency verification module, introducing a thinking chain reasoning technology and a self-reflection mechanism, and performing correction and optimization; constructing a knowledge storage and management module, automatically importing triple knowledge data into a graph data system, establishing a multi-dimensional index structure, and completing preliminary establishment of a knowledge graph; and constructing a knowledge updating and feedback learning module, realizing dynamic evolution and self-adaptive updating of the knowledge graph. The application can realize rapid construction and dynamic updating of a petroleum business field knowledge graph at a low cost.

The application belongs to the technical field of artificial intelligence, and discloses a standard response knowledge unit generation method, device, equipment and storage medium. The processing method comprises the following steps: inputting unstructured documents and historical interaction records of a business field into an initial generation model to obtain a standard response knowledge unit set; submitting the standard response knowledge unit set to a man-machine collaborative quality inspection interface to output structured defect annotations of the unit; forming an optimization sample pair of the standard response knowledge unit and the corresponding correct content of the structured defect annotation to form a model optimization data set; incrementally training the initial generation model based on the model optimization data set to obtain an optimized generation model; and iteratively optimizing the optimized generation model based on the annotation data until the optimized generation model meets a preset standard. The application can be applied to financial technology, medical health and other business management systems, and solves the technical problems of poor generation quality and low generation efficiency of question and answer dialogue sample pairs.

The invention relates to an electromagnetic situation information determination method and device, a satellite and a storage medium. The method comprises the following steps: executing multiple interference power detection in a satellite coverage range of an own satellite, and determining electromagnetic situation information corresponding to the satellite coverage range according to an interference power detection result; wherein the ith interference power detection comprises the following steps: acquiring an initial sensing point set which comprises a plurality of first sensing points, and acquiring an interference power value at each first sensing point; a plurality of second sensing points are generated in the satellite coverage range according to the interference power values corresponding to the first sensing points, a target sensing point set is generated according to the second sensing points, and distribution of the second sensing points is determined according to the interference power values corresponding to the first sensing points; the target sensing point set is an initial sensing point set of the (i + 1) th interference power detection. By adopting the method, space electromagnetic situation information sensing resources can be saved.

This invention discloses an AI-powered intelligent layout and landscape optimization system for landscape planning and design. The system comprises: a multi-source data preprocessing module for acquiring multi-source data for landscape planning and design, performing data cleaning and spatial data fusion; a basic rule constraint module for analyzing industry standards for landscape planning and design, establishing site-specific constraints, and transforming functional requirements into quantifiable constraint indicators; an ecological and humanistic dual-driven collaborative optimization module including a gene pool evolution sub-module and a narrative script arrangement sub-module; a simulation verification module using CFD numerical simulation technology to simulate ecological processes within the site, analyze spatial use performance indicators, and output simulation results; and a scheme output and iterative optimization module for generating visualized schemes, conducting multi-dimensional comparisons, providing users with an interactive editing interface, and performing iterative optimization. This invention enables automated landscape planning, achieves long-term stable evolution of plant communities, and boasts high design efficiency.

The invention belongs to the technical field of industrial process control, and discloses a jacquard weaving and dyeing intelligent cooperative control method, which comprises the following steps: generating a batch identifier and associating a loom identifier, obtaining a fabric length position and dividing a length section, and establishing a traceable mapping between the length section and a weaving time interval; weaving process data are collected, pattern plate indexes are synchronously extracted, and fabric structure indexes are calculated according to length sections. Before dyeing, a dyeing control track is calculated based on a structure index, a target chromatic value and equipment constraint and closed-loop execution is carried out, during dyeing, a suction state and a chromatic state are updated and an unexecuted set value sequence is corrected, after dyeing, an end point chromatic value corresponds to a length section, a weaving time interval is reversely positioned, and a weaving deviation correction target value or a dyeing parameter correction amount is generated; chromatic aberration fluctuation is reduced; and color fastness stability is improved.

The present invention discloses a chart generation method, device and electronic device, the method comprising: presetting a plurality of different models, each preset model representing an analysis dimension, matching the first field of the data source with the preset model by reading the first field in the data source; when a plurality of first target fields matching the target model are detected, and the plurality of first target fields are associated, generating a chart based on the configuration information of the model and the data of the first target field. Thus, the fields in the data source can be automatically matched with the model, and a chart can be generated, thereby providing a valuable reference for users to select a suitable chart analysis solution, so that customers can quickly select a suitable chart, thereby shortening the chart generation cycle.

The invention belongs to the field of organic synthesis, and particularly relates to a key intermediate for synthesizing tigorasen, which comprises the following steps: # imgabs0, in which R is independently selected from C1-C5 straight-chain alkyl or branched-chain alkyl, phenyl and substituted phenyl; comprising the following steps: (1) carrying out esterification reaction on a compound of formula I to obtain an anhydride intermediate; (2) carrying out amidation reaction on the anhydride intermediate and dimethylamine to obtain a compound shown in a formula II; (3) carrying out hydrogenation reaction on the compound shown in the formula II to prepare a compound shown in a formula III; (4) reacting the compound shown in the formula III with paratoluensulfonyl chloride to obtain a compound shown in a formula IV; and (5) carrying out hydrolysis reaction on the compound as shown in the formula IV under the action of alkali to obtain a compound as shown in a formula Vb. According to the method, phenolic hydroxyl group protection is realized through a one-pot method, an anhydride intermediate is formed at the same time, then dimethylamine is used for amidation reaction, the reaction operation is simple and convenient, three wastes are reduced, the production cost is reduced, and the method is suitable for industrial production.

The invention provides a blueberry seedling method and application thereof. The method comprises the following steps: selection and treatment of plants and explants, induction culture of axillary buds in an improved culture medium, zeatin (ZT) decreasing subculture, and further cultivation of subculture seedlings into commercial seedlings. According to the method provided by the invention, the basic culture medium prepared from the improved MS and WPM culture media is adopted, so that explants germinate quickly, the subculture period is short, seedlings grow well, branching is reasonable, and buds are thick and strong. The induction budding rate of the blueberries is increased to 92.5%, and the multiplication rate multiple after five times of subculture reaches 404.8 times. When commercial seedlings are cultured for 25 days by adopting a one-step seedling method, the rooting rate reaches 98.2%, the seedling culture time is averagely shortened by 19.4 days, and root systems are dispersed and uniform. According to the scheme, the seedling raising efficiency, the seedling quality and the plant growth vigor after planting are effectively improved, and the variation risk is reduced. Various root system problems which seriously affect survival, growth and yield after planting are fundamentally solved.

The invention discloses a generation method and device of an optical proximity correction model, a correction method, a medium and equipment. The generation method comprises the following steps: acquiring sample light source information, preset pattern parameters corresponding to a plurality of mask test patterns and actual measurement key sizes; and taking the sample light source information, the plurality of preset pattern parameters and the plurality of actually measured key sizes as inputs of an initial correction model, taking an estimated key size corresponding to the threshold distribution of the photoresist image as an expected output, and optimizing the initial correction model based on an expected matching degree between the estimated key size and the actually measured key size to obtain an optical proximity correction model. The preset pattern density is introduced into the preset pattern parameters, the density effect can be well captured, the critical dimension deviation trend caused by the density effect is reduced, the prediction accuracy of the optical proximity correction model is improved, additional compensation is not needed, the generation step and the correction step of the optical proximity correction model are simplified, and the prediction accuracy of the optical proximity correction model is improved. And the generation period of the model is shortened.

The invention provides a Raman spectrum-based method for detecting early harm of tetranychus urticae. The method comprises the following steps: preparing a detection sample: preparing a to-be-detected sample blade; acquiring a spectrum by using a portable Raman spectrometer; and determining whether the collected leaves are damaged by the tetranychus urticae or not based on the Raman spectrum. Reasonable utilization and conversion of carbon resources are accelerated due to the problem that carbon sequestration enzyme related information in an existing enzyme database is much and impure. The invention provides a sensitive, specialized, accurate and convenient detection method, a portable Raman spectrum is utilized to collect Raman spectrum information before and after the two-spotted spider mites harm the plant leaves, and rapid detection and identification of the two-spotted spider mites harm the plant leaves are realized.

The invention discloses a method for softening a pigskin collagen gel food, and belongs to the technical field of pigskin processing. The invention prepares a treatment liquid, soaks the pigskin, and then crushes the pigskin to obtain a pigskin turbid liquid, then adopts a polysaccharide suspension to mix and react with the pigskin turbid liquid, and then cross-links the mixture to obtain a pigskin gel. Through the combined action of the treatment liquid and the polysaccharide suspension, the hardness and chewiness of the pigskin gel are reduced, and the quality of the pigskin gel is effectively improved, thereby solving the problems of high strength of the pigskin gel, difficulty in swallowing the gel product, and poor quality. The prepared pigskin collagen gel product has low hardness and chewiness, good brittleness and elasticity, and good edible prospects.

The invention relates to the technical field of medicines, and particularly discloses a pharmaceutical composition containing a cistanche deserticola extract and a microbial preparation. The pharmaceutical composition containing the cistanche deserticola extract is prepared from the following raw materials in parts by mass: 1 to 3 parts of the cistanche deserticola extract, 0.1 to 0.5 part of glutathione, 1 to 2 parts of dopamine hydrochloride and 2 to 6 parts of montmorillonite. The microbial preparation comprises the following raw materials in parts by mass: 5-12 parts of the pharmaceutical composition containing the cistanche extract, 1-2 parts of compound microorganisms, 10-20 parts of starch and 1-2 parts of superfine silica powder. The invention also discloses application of the pharmaceutical composition containing the cistanche deserticola extract or / and the microbial preparation in preparation of drugs for treating Parkinson's disease. The traditional Chinese medicine composition not only can effectively improve the motor function of Parkinson's disease patients and delay the progress of Parkinson's disease, but also is remarkable in effect, high in safety, simple in preparation method and suitable for large-scale popularization and application.