9 results about "String analysis" patented technology

The invention provides a bid invitation risk identification method and system, electronic equipment and a storage medium, and aims to solve the problems of single bid invitation form and low judgment accuracy in consideration of bid invitation risk, and the method comprises the steps: building a bidding relation matrix for bid invitation projects according to bid invitation activities, bid winners and participant information; historical bidding and tendering data is cleaned and combed, and project risk evaluation information is obtained based on the bidding relation matrix and comprises a bid rate, a bid winning rate, a quotation gap and an enterprise information consistency result; performing unsupervised learning on the project data, calculating a project risk value according to the risk evaluation information, and judging whether the project needs text analysis according to the project risk value; similarity analysis is carried out on the technical part and the price part of the bidding document for the project needing to be analyzed; and for the high-risk-value project, combining the technical part similarity and the price part similarity of the bidding file to judge whether the bidding and confusion bidding exist or not. According to the invention, the accuracy and comprehensiveness of bid enclosing and bid stringing analysis can be improved.

A method for string analysis in a code scanning engine comprises a string analysis rule definition, the string analysis rule definition including a search pattern and a test criterion. At least a portion of a string in a source code file is determined to be a match to the search pattern. The test criterion is evaluated against at least a portion of the string. An indication of a result of the evaluation of the first test criterion is provided.

A computerized method of assigning a building automation system point type to a plurality of unclassified data points is provided. The method includes receiving unclassified data points and attributes for each data point. The method includes receiving classifications for a first subset of the unclassified data points. Each classification associates a data point with a building automation system point type. The method includes generating a term set containing substrings that appear in the attributes. The method includes generating a first matrix describing a frequency that the substrings appear in the attributes. The method includes calculating an indicator of a probability that the presence of the selected substring results in the data point belonging to the selected point type. The method includes assigning a point type to a second subset by finding the substring and potential point type pair having the greatest indication of probability.

The invention relates to the technical field of artificial intelligence and data processing, in particular to a data format conversion and import method and device based on artificial intelligence. The method comprises the following steps: acquiring a source data file containing a plurality of fields, wherein the names, formats or units of the fields are not uniform; analyzing semantics of the source data through a large language model (LLM) or other artificial intelligence models, and determining a mapping relation with a target data structure; deducing or complementing missing or non-direct corresponding fields, including unit or format conversion, character string analysis, numerical calculation, time conversion and deduction based on external knowledge or business rules; and generating target data meeting the requirements of the target system, and importing the target data into a database or outputting the target data as a file in a specified format. The method can be suitable for various scenes, such as reckoning the year of birth according to the age, deriving the city according to the postcode, analyzing the packaging information to calculate the weight of a single piece, converting the exchange rate, reckoning the natural language time and the like. According to the method and the device, the intelligent import of the open data file can be realized without a fixed template, the manual operation cost is remarkably reduced, the data processing efficiency and accuracy are improved, and the method and the device have good universality and expansibility.

The invention discloses an automatic workshop AGV intelligent transfer system, and relates to the field of material transfer automatic control. The invention aims to solve the problem that an existing workshop material transfer method is high in error rate in the transfer process. The method comprises the following steps: receiving a task information character string sent by a workshop control center and analyzing the task information character string; obtaining an AGV scheduling scheme based on a workshop data twinborn model; a task instruction is generated according to the task information character string analysis result, the task number and the flying bar number in the skip car state data table and the task execution information JSON format, and the task instruction is sent to the AGV control system; and the AGV control system feeds back a task execution state and AGV position data, and writes the task execution state and the AGV position data into the skip state data table and the AGV state data table. The AGV material transfer device is used for achieving AGV material transfer in the workshop.

Create a timeline that displays the relationships between a specific subject and their associates, based on information about that subject obtained from multiple documents. [Solution] The information acquisition means acquires subject-related information related to a specific subject from multiple documents. The extraction means extracts multiple strings that meet predetermined criteria from the subject-related information. The analysis means organizes the multiple strings according to a predetermined format for the specific subject and for people other than the specific subject, and detects strings that have a predetermined relationship among the multiple strings, and outputs the organized strings and information indicating the relationship. The timeline creation means creates a timeline that displays strings related to the specific subject and strings related to people other than the specific subject in parallel on a timeline, and also displays information indicating the strings that have a relationship among the multiple strings.

This involves organizing the information about a specific individual obtained from multiple documents and examining their relationships. [Solution] The information acquisition means acquires subject-related information related to a specific subject from multiple texts. The extraction means extracts multiple strings that meet predetermined criteria from the subject-related information. The analysis means organizes the multiple strings according to a predetermined format, detects strings that have a predetermined relationship among the multiple strings, and outputs output information that includes the organized strings and information indicating the relationship.

The invention relates to the technical field of string type inverter monitoring, in particular to a string type inverter zero-current string monitoring method and system, and the method comprises the steps: obtaining the operation data of each string inverter; performing feature extraction on the operation data of each string inverter to obtain multiple pieces of feature data, including current features, voltage and power features, environment features and dynamic features; combining the string inverter feature data, inputting the combined feature data into a zero-current string analysis model constructed based on a machine learning algorithm, and solving a zero-current analysis result; and verifying the zero-current analysis result based on preset zero-current judgment logic, and outputting a final zero-current monitoring result. Through machine learning and multi-feature data fusion, real-time monitoring of the string inverter is realized, the fault detection accuracy and response speed are improved, the maintenance cost is reduced, and intelligent development of the photovoltaic industry is promoted.

The invention belongs to the technical field of data processing, and relates to a data analysis method, which is applied to the field of financial science and technology, and comprises the following steps: receiving a data analysis request triggered by a user; extracting a character string and a field level string list from the data analysis request; judging whether a specified analysis object matched with the character string exists in a preset analysis object cache or not; if the specified analysis object matched with the character string does not exist, calling a preset target generation function; performing analysis processing on the character string and the field level string list based on the target generation function to obtain a corresponding analysis result; and returning an analysis result to the user. The invention further provides a data analysis device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the analysis result can be stored in a block chain. According to the method, the json character string can be efficiently and accurately analyzed based on the use of the target generation function, and the corresponding analysis result is generated, so that the processing efficiency of character string analysis is effectively improved.