7results about How to "Accurate content" patented technology

The invention discloses an LLM-based automatic table filling method and device, equipment and a medium, and relates to the technical field of data processing. The method comprises the steps of obtaining a to-be-filled table in a to-be-filled document, and recording the position of the to-be-filled table; obtaining a to-be-filled text input by a user; analyzing the to-be-filled table, and converting the to-be-filled table into an HTML format to obtain a first HTML table; the first HTML table, the text to be filled and a preset Prompt template are spliced and input into an LLM large model; analyzing an entity-attribute relationship between a header field in the first HTML table and the to-be-filled text through an LLM large model; automatically filling the first HTML table to obtain a second HTML table; and inputting the second HTML table to the recorded position to obtain a filled document. By implementing the technical scheme provided by the invention, the accuracy of automatic table filling can be improved.

The invention relates to a visit report generation method and device, computer equipment and a storage medium. The method comprises the following steps: determining a visit strategy for a target object; the visiting strategy is obtained based on the visiting purpose of the target object and the business data and business requirements of the target object in the target business; the business demand is determined and obtained based on a visiting purpose of the target object and business data of the target object in the target business; in a visiting process for the target object based on the visiting strategy, responding to a question operation for the target business, determining a business question, and generating an answer for the business question based on the visiting strategy; under the condition that the record generation triggering condition is met, the visit report for the target object is generated based on the visit record at least comprising the business question and the answer, so that the visit condition can be comprehensively known, and the refinement level of customer relationship management is further improved.

This invention discloses a method for detecting and analyzing toxic gases based on flame photometry. The method includes: determining the types and quantities of constituent atoms of each toxic gas according to its molecular formula; determining the characteristic elements of each toxic gas, and further determining the typical characteristic values ​​of each toxic gas; each toxic gas uniquely corresponds to a set of typical characteristic values; the set of typical characteristic values ​​is calculated from the types and quantities of atoms corresponding to the characteristic elements; measuring the constituent atoms and content of the gas to be tested using flame photometry, calculating the measured characteristic values ​​of the gas to be tested, and obtaining the set of measured characteristic values ​​of the gas to be tested; comparing the obtained set of measured characteristic values ​​with known sets of typical characteristic values; if the set of measured characteristic values ​​completely corresponds to a certain set of typical characteristic values, then the gas to be tested can be determined to be the toxic gas corresponding to that set of typical characteristic values.

The application relates to the technical field of user portrait generation, in particular to a user portrait generation method and system based on private domain traffic of a public account, which comprises the following steps: acquiring recommended information of a public account clicked and followed by a user each time, determining a theme distribution of the recommended information clicked by the user each time by using a probability generation model; composing a probability distribution sequence by using the probability distribution of each theme label of the user in the recommended information clicked all the times; analyzing a change trend and persistence of elements in the probability distribution sequence to determine a situation persistence of each theme label of the user; analyzing a current following degree of each theme label of the user based on the probability distribution sequence, combining the situation persistence to determine an interest retention degree of each theme label of the user; and determining an interest tendency confidence degree of each theme label of the user by using a numerical distribution of elements in the probability distribution sequence and combining the interest retention degree, so as to generate a user portrait. Therefore, the precision of user portrait generation is improved.

The present application relates to the field of calcium fluoride content determination, and specifically discloses a method for detecting calcium fluoride content in fluorite ore containing calcium sulfate. The detection method comprises the following steps: S1 sample pretreatment; S2 sample residue leaching and dissolution: using aluminum chloride solution leaching method for dissolution; S3 determination of total calcium in sample residue: using EDTA titration method for determination; S4 determination of calcium amount introduced by calcium sulfate dissolution in sample residue; S5 calculation of calcium fluoride content: total calcium content in sample residue minus equivalent calcium content calculated from the content of sulfate, plus calcium fluoride dissolution correction coefficient, which is the calcium fluoride content in the sample. By implementing the present application, the problem of abnormal increase of calcium fluoride content in fluorite sample due to incomplete separation when the content of calcium sulfate is high is solved, and the problem of accurate measurement of calcium fluoride content in fluorite sample containing a large amount of calcium sulfate is effectively solved. The relative error of the detection result is reduced from 7%-350% of the existing method to less than 2%.

This invention belongs to the field of microplastic content detection technology, specifically relating to a method for simultaneously and quantitatively testing the content of multiple microplastics. The method provided by this invention utilizes a thermogravimetric-infrared spectroscopy (TGA-IR) analyzer to simultaneously and quantitatively analyze multiple microplastics in a mixed sample, enabling rapid and accurate determination of the content of each microplastic.

The utility model discloses a kind of lithium ion battery positive electrode material non-magnetic foreign matter separation enrichment device, including bottom shell, hollow inner ring, negative outer ring, positive electrode column, positive electrode and negative electrode;The inside of the bottom shell is sequentially provided with positive electrode column, hollow inner ring and negative outer ring from inside to outside, lithium ion battery positive electrode material is filled between the hollow inner ring and positive electrode column;The side of the hollow inner ring close to negative outer ring is provided with diaphragm, and electrolyte is added;The end of the positive electrode and negative electrode respectively extends into bottom shell interior and is connected with positive electrode column, negative outer ring.This utility model assembles lithium ion positive electrode material into battery positive electrode and carries out charge and discharge, the negative outer ring of enrichment non-magnetic foreign matter copper, zinc element is sequentially cleaned, digested, inductively coupled plasma emission spectrometer quantitative test, can obtain accurate non-magnetic foreign matter copper zinc element content, with good practicability.