7results about How to "Avoid duplicate collection" patented technology

The invention discloses a geological mineral exploration device and an exploration method, and particularly relates to the technical field of geological exploration. Mining area data are collected in a plurality of preset time periods, and data analysis is performed in each period, so that whether an early sign of insufficient data quality exists or not is judged; if a quality problem is found, feature analysis is further carried out, and the precision level and the coverage degree of the data are evaluated; dividing a data acquisition period into a high-quality period and a low-quality period according to an evaluation result; for a low-quality acquisition period, resampling or supplementary acquisition is executed, so that the data precision and coverage rate are improved, and the integrity and accuracy of exploration data are ensured; according to the method, through multi-level evaluation of the precision index and the coverage rate index, the quality problem in data collection can be identified in time, multiple times of correction processing are carried out, the precision and the coverage rate of the collected data are remarkably improved, and it is ensured that the collected data can accurately reflect the real geological condition of a mining area.

The invention relates to the field of equipment process control, and discloses a communication method and device for a data acquisition upper computer and process equipment, equipment and a medium, the method is applied to the data acquisition upper computer, and the method comprises the following steps: receiving equipment information and interaction data sent by a plurality of pieces of process equipment through preset communication connection; determining an analysis protocol between the process equipment and the data acquisition upper computer based on the equipment information, and processing the interaction data according to the analysis protocol to obtain analyzed interaction data; obtaining pre-configured parameter information in the data acquisition upper computer, and matching the analyzed interaction data with the parameter information to obtain target parameter information; and constructing a parameter list by using the target parameter information, and sending the parameter list to the process equipment. According to the invention, the problems of measurement channel waste caused by repeated acquisition, easy interference by system matching problem, low communication rate when parameters are many and incapability of guaranteeing data synchronism in parameter acquisition of the vehicle platform process equipment are solved.

The invention belongs to the technical field of soil sampling, and particularly relates to a soil sampling device for building construction, which comprises a pedestal, two lifting frames are arranged on the end surface of the pedestal, a moving plate is slidably arranged between the two lifting frames, a mounting shell is arranged on the end surface of the moving plate, and a sampling lifting assembly is arranged on the end surface of the mounting shell. The sampling lifting assembly is connected with a sampling rod, an outer barrel is rotationally arranged on the portion, on the bottom end face of the moving plate, of the outer portion of the sampling rod, and a drill bit is arranged at one end of the outer barrel. Large stone particles are prevented from influencing acquisition of soil information; by arranging the sampling rod and the sampling barrel, repeated drilling can be prevented, performance consumption is reduced, meanwhile, the drilling straightness can be improved, repeated sampling is avoided, and then the accuracy of soil collection information is improved.

The invention is suitable for the technical field of completion progress assessment, and particularly relates to a project completion progress assessment method and system, and the method comprises the steps: obtaining a construction plan of a project, delimiting construction points, carrying out the connection to obtain a patrol route for progress assessment, collecting the image data of the patrol route through a panoramic camera, and carrying out the assessment of the project completion progress. Splicing is carried out to obtain a panoramic image, and the construction point position is marked in the panoramic image; and reading the change characteristics from the construction point location, determining the deployment position of the card reader, and obtaining the use permission of the RFID tag integrated in the safety helmet in advance. By comparing the standard progress with the panoramic image, the construction progress can be grasped in time, the difference between the actual progress and the standard progress can be quickly identified, a data basis is provided for project progress evaluation, and the construction point location which is not inspected on time can be found by determining the activation window, so that the timeliness of the panoramic image is ensured, and the project progress evaluation efficiency is improved. And the accuracy of completion progress evaluation is greatly improved.

The invention relates to the technical field of shale oil casing deformation prediction, in particular to a shale fracturing casing deformation machine learning prediction method based on a mechanism model, and the method comprises the steps: obtaining a target to-be-processed simulation data set meeting an acquisition standard; preprocessing the target to-be-processed simulation data set, correcting each to-be-processed simulation feature set according to a preprocessing result to obtain a target actual simulation data set, and performing initial numerical simulation on each actual simulation feature set, target shale oil well reservoir slip casing variables under different influence factors are determined according to the initial numerical simulation result; obtaining influence factors which cannot be measured actually to obtain a plurality of invisible simulation feature sets, and performing inversion based on each invisible simulation feature set so as to optimize the initial numerical simulation result to obtain an actual numerical simulation result; and performing prediction training and prediction testing on the actual numerical simulation result based on the selected initial prediction standard to optimize the initial prediction standard so as to obtain an actual prediction standard.

This invention discloses a method for constructing a 3D visualization region model for surveying and mapping data, belonging to the field of 3D visualization modeling technology. The invention determines the target range and several modeling targets, sets modeling levels and matches corresponding data scales, and determines the surveying and mapping area by grouping the modeling levels from high to low. Based on the matched data scales, it acquires surveying and mapping data and completes multi-scale modeling. This invention supports the downward conversion of high-precision data through the linkage of modeling levels and data scales, avoiding the repeated collection of low-precision data for low-level targets. Simultaneously, the expanded area of ​​high-level targets can cover low-level targets, reducing the workload of separate zoning and improving data acquisition efficiency. Furthermore, the buffer zone formed by the expansion enables smooth fusion of data at different levels, eliminating "precision gaps" at boundary stitching, ensuring the overall coherence and naturalness of the 3D visualization model, and providing accurate spatial model support for scenarios such as urban planning and regional management.

This invention relates to the field of medical emergency and telemedicine technology, and in particular to an online diagnosis and treatment system. Addressing the problems of lagging information transmission and lack of intelligent data analysis in existing traditional pre-hospital emergency care models, this invention proposes the following solution: a portable emergency intelligent terminal, a cloud-based big data and artificial intelligence analysis platform, a hospital-side command and preparation system, and a high-speed mobile communication network. The portable emergency intelligent terminal is deployed at the emergency site to collect and preprocess patient physiological and environmental data and transmit it in real time. After receiving the data, the cloud platform retrieves the patient's historical health data, diagnoses and evaluates the patient using an AI model, and generates a personalized dynamic emergency care plan based on a knowledge graph. This invention achieves real-time, multi-dimensional collection and intelligent analysis of pre-hospital emergency care data, breaks down information barriers between pre-hospital and in-hospital care, provides dynamic optimization solutions for on-site emergency care, guides precise in-hospital preparation, significantly improves emergency care efficiency and accuracy, and reduces the prognostic risks for critically ill patients.