8 results about "Statistical software" patented technology

The invention provides a health monitoring method. The method comprises the following steps: acquiring original occupational health monitoring data in an Excel format from multiple channels; analyzing the original occupational health monitoring data in the Excel format, and identifying a fixed column and a dynamic column in the original occupational health monitoring data; storing the fixed column into a main table database, and storing the dynamic column into a sub-table database; and in response to a user request, integrating data in the main table database and the sub-table database to generate a visual report. According to the method, the original occupational health monitoring data in the Excel format is obtained from multiple channels and analyzed, the fixed column and the dynamic column are stored in the main table database and the sub-table database respectively, finally, the data are integrated according to the user request to generate the visual report, and efficient processing and storage of the health monitoring data are achieved. According to the mode, the tedious process that an Excel table is manually input and special statistical software is imported for analysis traditionally is avoided, and the operation efficiency is greatly improved.

The embodiment of the invention relates to the technical field of software development, and discloses a construction management system, method and equipment of a multi-module software architecture and a medium. According to the embodiment of the invention, each module under the multi-module software architecture can be independently managed to meet the requirement of independently issuing each module; codes of all the modules can be stored through a remote warehouse, and version information, change records, review records, storage links and other related information of the modules are managed on a unified platform; the construction project of the whole code can be deployed on a server, and the server can obtain related information of each module from a unified platform according to development requirements and complete code pulling, compiling construction, change statistics and software release processes according to established rules. According to the construction management system provided by the embodiment of the invention, the construction efficiency of the multi-module architecture software can be improved, the traceability of the software is ensured, and the quality and reliability of the software are improved.

The invention discloses a method for analyzing influence factors of an intercropping and intercropping mode selected by a peasant household. The method comprises the following steps: step 1, selecting an investigation site according to an investigation purpose; 2, designing a semi-structured questionnaire of a farmer intercropping planting production mode based on a theoretical framework, performing field investigation and issuing the questionnaire for pre-investigation, and modifying the questionnaire according to a pre-investigation condition to realize localization of the questionnaire; 3, selecting a survey site and a farmer, issuing a survey questionnaire, and obtaining an initial data sample according to the content of the survey questionnaire filled by the farmer; step 4, performing data preprocessing on the recovered farmer intercropping planting production mode questionnaire; step 5, on the basis of multiple regression Tobit model analysis, constructing a farmer intercropping planting mode influence factor model; and step 6, importing the processed data into R language statistical software, and carrying out regression analysis on the processed sample data. According to the method, a basis can be provided for making a popularization policy of intercropping in a peasant household level.

The invention discloses a quality evaluation processing method and device based on service data, equipment and a medium. Acquiring a current task to be subjected to quality evaluation in real time, and acquiring current service description data through a data acquisition layer; in the evaluation calculation layer, according to the current service description structured data and the current service description unstructured data, through an evaluation index system construction method, an evaluation index and an evaluation index weight are generated; according to each secondary evaluation index and the secondary evaluation index weight, calculation is carried out through a multi-algorithm fusion calculation method to obtain a current evaluation index calculation score, and a current abnormal root cause positioning result is determined in combination with an abnormal root cause positioning method; and carrying out analysis and display processing through the analysis and display layer to obtain a current visual analysis and display result, and feeding back the result. The problems of low service management efficiency and low accuracy caused by a manual sampling evaluation method and a simple data statistics software scheme are solved, and the efficiency and the accuracy of quality evaluation of the service data are improved.

The application discloses a kind of fine particulate matter space-time distribution diagram construction method and device, including obtaining the background environment fine particulate matter concentration dataset and fine particulate matter concentration dataset corresponding to the preset research area;Based on the background environment fine particulate matter concentration dataset, concentration correction operation is carried out to fine particulate matter concentration dataset, to determine the background concentration correction dataset;Through social science statistical software, average fine particulate matter concentration value and each road corresponding vehicle data are subjected to pearson correlation detection operation, to generate correlation scatter diagram;In the background concentration correction dataset, the background concentration correction data corresponding to the road where all abnormal points in correlation scatter diagram are located is excluded, to generate traffic correction dataset;Through geographic information system software, a plurality of preset variation function models are used to carry out regional interpolation analysis on traffic correction dataset, to determine fine particulate matter space-time distribution diagram.The technical problem that the accuracy of the obtained PM 2.5 concentration spatial distribution is low is solved.

This invention discloses a method, device, electronic device, and storage medium for evaluating the comfort of clothing, relating to the field of thermal and humidity comfort evaluation technology. The method includes: simulating multi-regional home environments using an adjustable temperature and humidity artificial climate chamber, and periodically monitoring temperature and humidity using environmental monitoring equipment. Subjects of standard body type are selected, wearing temperature and humidity recorders and fitness trackers, performing standardized movements while wearing the clothing to be tested, collecting objective test data, designing a multi-dimensional subjective rating table, and periodically recording the subjects' subjective evaluation data. Data segments with comfort level scores between 2.5 and 3 points are selected using statistical software, and a box plot construction method is used to determine the specific temperature and humidity thresholds for the thermal and humidity comfort range based on the selected data, forming a quantitative evaluation standard. This invention achieves a systematic and standardized evaluation of clothing thermal and humidity comfort, effectively solving the problems of existing technologies being detached from reality and having a single evaluation dimension.

The invention discloses a method for identifying mutton by using a stable isotope method, and relates to the technical field of animal product origin traceability, and the method comprises the following steps: (1) carrying out ossein extraction on sheep bones; (2) determining stable isotope delta 13C and delta 15N values of ossein extracted from sheep bones; (3) performing significant difference multiple comparison-Duncan analysis on delta 13C and delta 15N values of ossein in sheep bones by using statistical software; (4) carrying out PLS-DA partial least square discriminant analysis on delta 13C and delta 15N values of ossein in sheep bones by using statistical software; through further optimization of ossein extraction, the extraction efficiency of ossein is improved, rapid source tracing of mutton is realized, and the problems that in the prior art, the extraction process of ossein is long in time consumption, and the rapid source tracing requirement is difficult to meet are solved.

Embodiments of the present application provide a data statistics method, device, equipment and medium, which are used to solve the technical problems of low statistics efficiency and high cost in the statistics of the workload of a software project in the prior art. The method comprises: obtaining a statistics instruction, the statistics instruction being used to instruct the statistics of the workload of a software project; in response to the statistics instruction, determining a first workload, a second workload and a third workload from at least one logical subsystem used for developing the software project, the first workload being the workload generated by developing a program of the software project, the second workload being the workload generated by testing the function of the software project, and the third workload being the workload generated by testing the performance of the software project; and determining the workload of the software project according to the first workload, the second workload and the third workload.