169 results about "Survey result" patented technology

The invention discloses a harmful deformation prevention and control method for a hydraulic soft rock tunnel, and the method comprises the steps: carrying out the preliminary classification of the surrounding rock of the tunnel according to the geological survey result of the tunnel, and dividing a deformation control target into four grades; supporting measures which are based on harmful deformation classification and conform to the deformation characteristics of the red-bed soft rock tunnel are provided by considering the characteristics of water physical property, rheological property and the like of the red-bed soft rock; in the construction stage, a soft rock tunnel harmful deformation analysis method under the seepage-rheological coupling effect is adopted for determining the reserved deformation amount, and according to an improved constraint-convergence method, the supporting opportunity is calculated and determined based on a surrounding rock characteristic curve and a safety coefficient; and finally, according to geological conditions exposed by excavation and necessary supplementary survey results, calculating and analyzing the harmful deformation index again, and dynamically adjusting the harmful deformation grade and the support measure of the specific hole section. According to the method, through a scientific supporting mode and dynamic management, tunnel deformation can be effectively controlled, and the adaptability and long-acting stability of red layer soft rock tunnel supporting are improved.

The invention discloses an intelligent fusion processing method and system for forest and grass wet resource pattern spots and annual land change survey data, and belongs to the field of space-time big data in the natural resource industry, and the method comprises the steps: completing the pattern layer fusion based on the annual land change survey data in combination with forest and grass wet pattern spot survey results; superposing county and rural boundaries to form an administrative fusion layer; performing subcompartment division based on the remote sensing image; merging broken classes according to a principle of adjacent positions and similar types; eliminating a pattern spot sharp angle; land classes are refined, and attribute information is perfected; the public welfare forest range and the protection level are optimized; automatically checking and summarizing to form a result layer; and finally performing statistics to generate various thematic reports. According to the method, technologies such as database storage, spatial index construction and a fusion algorithm are adopted, the data processing efficiency is improved by more than 50%, and the sharp angle processing time is shortened; and the labor cost and the time investment are obviously reduced.

The invention provides a method for constructing a building layer household-level entity through laser point cloud fusion and combined surveying and mapping. The method comprises the following steps that a graph contour is converted into a point set; generating a primitive center point set, performing semantic fusion on completion acceptance measurement result attributes and real estate measurement result attributes based on a spatial relationship, and calculating surface primitives of real estate measurement to generate center points; fusing multi-modal point cloud data, and making up and correcting outer contour points of the building; building contour graph segmentation and extraction: taking the point cloud semantic information converted from the joint surveying and mapping result as a label for point cloud segmentation and extraction, segmenting fused point cloud data, extracting a building edge contour and an internal layering and household line, and reconstructing to generate building, floor and household entities; combined surveying and mapping data are converted into point cloud to form multi-modal point cloud data, and then the multi-modal point cloud data are fused with airborne laser radar, oblique photography and other data, so that accurate construction of a building, floor and even household entity model is realized.

The invention provides a seismic survey instrument for detecting underground geological structures, which belongs to the technical field of geological prospecting, and comprises a frame, a battery box mounted in the top end of the frame, a push plate mounted at the bottom end of a spring buffer, and a signal transmitter mounted on one side in the push plate, the leveling structure comprises a connecting arm rotationally connected to one side of the interior of the frame, a scraping plate fixed to one side of the interior of the housing and a transmission assembly arranged on one side of the housing. According to the ground leveling device, a driving motor is started to drive a rotating shaft to rotate, a scraper conducts leveling operation on the ground, the leveling depth is adjusted through stretching of a second electric push rod, and therefore the ground leveling function of the device is achieved, it is guaranteed that the device is in a horizontal state, and a detection unit is tightly attached to the ground; interference of external factors on observation data of the device is reduced, effective receiving and transmission of signals are ensured, and the reliability of survey results is improved.

To efficiently and accurately measure ground strength for all piles, to minimize risks in an excavation work of non-homogeneous ground, and to improve quality and efficiency of a construction.SOLUTION: A method for managing a work of excavating vertical holes in a ground of a specified area for driving piles comprises: a preliminary geological survey process, prior to excavating the vertical hole for each pile for all piles to be driven within the specified area, in which a preliminary geological survey is conducted, in which a sampling hole with a diameter smaller than a diameter of the pile to be driven is drilled at the center of each vertical hole and samples of a stratum at a specified depth or more are obtained, to investigate a depth of a support ground at a driving position of each pile; a survey result acquisition process in which the depth of the support ground for each pile obtained in the preliminary geological survey process is acquired by an information processing device together with position information of each pile; and a vertical hole drilling process in which a central axis of a drilling drill is aligned with the sampling hole and the vertical holes for driving the piles are drilled.SELECTED DRAWING: Figure 2

The invention discloses a natural resource survey result analysis method and system based on image recognition, and relates to the technical field of natural resource survey monitoring, and the method comprises the steps: obtaining historical remote sensing information and geographic information of a target section, and determining at least one divided land parcel of the target section; analyzing each divided plot according to historical remote sensing information of the target section, and determining gradient feature information of each divided plot; remote sensing data information of the target plot in different time sequence segments is collected, and the real-time gradual change feature of each divided plot is obtained; the remote sensing technology is adopted to divide the plot contour of the target plot in advance, and then the historical remote sensing feature distribution condition of each divided plot in different periods is collected, so that an effective reference is provided for the real-time remote sensing feature distribution expression of crops in each divided plot, and whether the abandoned phenomenon exists or not is effectively judged. Therefore, the purpose of accurately monitoring the abandoned phenomenon of the agricultural cultivated land is effectively achieved.

The invention provides an earthquake disaster loss pre-evaluation method and system based on field investigation. The method comprises the following steps: according to a sampling survey result of a working area, establishing a localized building vulnerability matrix taking a county as a unit, and classifying the localized building vulnerability matrix according to a building function, a building age, a floor number and a fortification grade; based on the spatial database, the multiple sets of set seismic parameters and the localized building vulnerability matrix, an earthquake disaster loss pre-evaluation result is obtained through a pre-evaluation model, and the earthquake disaster loss pre-evaluation result comprises the affected area under each set of set seismic parameters, the estimated number of casualties and the direct economic loss; and when the error between the earthquake disaster loss pre-evaluation result and the actual earthquake disaster loss is greater than a preset error threshold value, dynamically correcting the model parameters of the pre-evaluation model according to the sampling survey result. According to the technical scheme provided by the invention, the evaluation error is reduced, and the accuracy of pre-evaluation is improved.

To improve the efficiency of questionnaire aggregation and reporting.SOLUTION: A system for improving the efficiency of questionnaire aggregation and reporting comprises means for electronically collecting questionnaire response data, means for automatically aggregating the collected data and generating results, and means for outputting the generated results as a report.SELECTED DRAWING: Figure 1

We provide an information processing system that can analyze the results of risk investigations. [Solution] According to one aspect of the present invention, there is provided an information processing system comprising at least one processor, the processor being configured to execute each of the following steps by reading a program, wherein in an investigation result acquisition step, results of multiple risk investigations on the person being evaluated are acquired, in an item reception step, input of a first item and a second item for analyzing and displaying the multiple results is received from the evaluation user, and in an analysis information display control step, analysis information is displayed for each of multiple display areas of a coordinate system having the first item as the horizontal axis and the second item as the vertical axis, showing the number of results including the content of the first item and the content of the second item corresponding to the coordinates of the display area, and the display areas are areas obtained by dividing the planar area of ​​the coordinate system along at least one of the horizontal axis and the vertical axis.

The invention provides an electric vehicle claim settlement whole-process co-processing system and method based on multi-modal data fusion. The method belongs to the technical field of multi-modal data fusion. Through a multi-modal data fusion technology, the method comprises the following steps: acquiring case data, processing and issuing case information; on the basis of the case information, automatically matching surveyors in an area range to execute a survey task, and generating a survey result; generating a maintenance order based on the survey result and pushing the maintenance order to each franchising maintenance shop in the area; and each franchise maintenance shop offers the price after receiving the maintenance order, and the system determines the claim amount and the maintenance shop to be repaired according to the merchant portrait and the merchant quotation. The system can integrate data from different sources, reduces the interference of a single data source or abnormal data, and improves the accuracy of predicting the survey task load.

The invention relates to the technical field of big data storage, and particularly discloses a land survey result intelligent management method and system based on big data analysis, a data processing center receives land survey result data, records the data as a land survey data column, calls a data similarity algorithm, compares the data with an existing storage data column, and judges a pre-storage library; extracting data feature information, processing to obtain a data feature value, and determining a data migration monitoring period; monitoring and extracting data use information in the period, evaluating a data use degree value, and judging whether to adjust the period or not; and according to the data utilization degree value in the period, whether data migration occurs is judged, an adaptive storage library is obtained, and then intelligent management is performed on the land survey data column.

A behavioral analysis platform is a comprehensive system designed to enhance the accuracy of polls and surveys. It utilizes a web-based online survey optimized through payload management and employs machine and deep learning models to analyze behavioral data. The platform captures user behavior, including mouse movements, response times, and other haptic data, using custom APIs. It features a payload manager subsystem for campaign planning and execution, optimizing survey elements for behavioral analytics. The system establishes a behavioral baseline for each respondent, enabling precise analysis of survey responses in terms of conviction, veracity, and sentiment. Real-time adjustments to survey elements and continuous data capture contribute to improved predictive capabilities. The platform is applicable across various media types and is capable of monitoring and processing survey results dynamically. Overall, it offers a sophisticated approach to behavioral analysis for more accurately capturing end-user authentic sentiment.

To enable the selection of suitable personnel for an organization using indexes that represent the strength of the organization.SOLUTION: A server 10 comprises a survey execution unit 11, a degree calculation unit 12, and a matching unit 15. The survey execution unit 11 asks first to fourth questions to each of a plurality of employees belonging to a company, and obtains the answers to the respective questions as survey results. The degree calculation unit 12 calculates the degree to which each company has achieved N types (N is an integer value of 1 or more) of index elements for each of the first to fourth questions based on the survey results. The matching unit 15 calculates the degree of match (degree of compatibility) between a specific user among a plurality of users and an organization such as a company or department based on M (M is an integer value of 2 or more) levels of activity level for each of N types of index elements.SELECTED DRAWING: Figure 3

The invention provides a territorial greening space marking method and system, a terminal and a storage medium, and relates to the technical field of territorial surveying and mapping, and the method comprises the steps: constructing a resource current situation database according to a latest territorial change survey result and a forest grass humidity survey monitoring result; the resource status database is converted into a raster image, seed points are set, similar pixel areas are combined, and the raster image is segmented into land map spots; taking the site factors as growth constraint conditions of the land pattern spots to obtain initial land parcel data; performing vectorization processing on the initial land parcel data to obtain territorial greening land map spots; constructing a control boundary database, superposing the control boundary database to the territorial greening land pattern spots, and removing overlapped pattern spots in the superposed image to obtain initial greening pattern spots; performing corrosion and expansion processing on the initial greening pattern spots, and performing structural element size adaptive adjustment on the initial greening pattern spots after corrosion and expansion processing to obtain vector result data; the method has the advantage that the accuracy of land greening space marking is improved.

The invention relates to the technical field of territorial resource data management, in particular to a territorial resource survey result checking method and system based on artificial intelligence, and the method comprises the steps: obtaining historical to-be-checked territorial resource survey result sets, and a current to-be-checked territorial resource survey result set associated with each historical to-be-checked territorial resource survey result set; according to scene differences among the historical to-be-checked territorial resource survey result sets, the historical to-be-checked territorial resource survey result sets are classified into territorial resource classes; configuring the verification items associated with the territorial resource class to a server one by one; and performing territorial resource information checking on the historical to-be-checked territorial resource survey result set and the territorial resource information in the current to-be-checked territorial resource survey result set associated with the historical to-be-checked territorial resource survey result set through the checking item according to the server. According to the method, the land resource investigation results are clustered, and the data volume is differentially checked, so that the method has the characteristics of high land resource information checking processing efficiency and high resource utilization rate.

The invention discloses a sampling device for marine geological survey, belongs to the field of marine geological survey, and aims to solve the problems that sample characteristics originally representing specific positions and depth information are damaged due to mixing of samples, analysis results cannot accurately reflect real conditions of sampling points, data are inaccurate, and the sampling efficiency is high. The sampling device for the marine geological survey comprises a cylinder placing box, a negative pressure machine arranged on the outer side of the cylinder placing box, a first hose communicated with the input end of the negative pressure machine, and a negative pressure head communicated with the other end of the first hose, by arranging the elastic mechanism, when the pushing mechanism moves downwards, the elastic mechanism is driven to move upwards, sampling of each time is separated, and compared with the prior art, mixing of samples is reduced, so that the accuracy of the samples is improved.

The invention discloses wetland plant community diversity investigation equipment which comprises an inserting rod, the upper end of the inserting rod is detachably connected with a mounting disc, the upper end of the mounting disc is rotatably connected with a shell, a horizontal rotating motor used for driving the shell to rotate is mounted at the bottom in the shell, and one side of the shell is sunken inwards to form a placing groove. The shell is sunken downwards at the lower end of the placing groove to form a rotating groove, an investigation head rotating in a vertical plane is rotationally connected in the placing groove, a hollow rotating end rotationally connected with the rotating groove is arranged at the lower end of the investigation head, and a vertical rotating motor used for driving the investigation head to rotate is installed in the rotating end; an intelligent identification camera and an infrared laser distance sensor are arranged on the front side of the investigation head, a temperature sensor and a humidity sensor are arranged on the side, away from the investigation head, of the shell, and a battery and an integrated circuit board are arranged in the shell. According to the invention, manual work is replaced, equipment is adopted to carry out intelligent automatic investigation, the investigation range is wider, and the investigation result representativeness is stronger.

The invention discloses a land resource checking method and system, and the method comprises the steps: firstly, determining a checking range of land resource checking from a land class pattern spot element layer in the land utilization data of an annual land change survey result, and according to the checking range, carrying out the checking of the land resources from the quality grade evaluation result data related to a land class to be checked; and a grading layer corresponding to the checking range is extracted. Then, performing spatial overlapping on the land class pattern spots of the land class to be checked and the grading pattern layers; and finally, judging whether a same land class grading unit overlapped with the land class pattern spot exists in the grading layer or not. And if not, comparing each feature element data of the land type pattern spot with the feature element data of each grading unit in the grading layer, selecting the grading unit of which the feature element is closest to the land type pattern spot, and endowing the land type pattern spot with utilization and other information corresponding to the grading unit. Therefore, batch processing of land resource checking is achieved, repeated operation is reduced, and the speed and efficiency of land resource checking are improved.

The invention belongs to the field of geographic remote sensing data processing, and particularly relates to a geographic remote sensing investigation method and system based on self-adaptive template control. The method comprises the following steps: determining a user-defined template data structure according to an investigation demand of a task to be investigated; the user-defined template data structure comprises an investigation template, investigation pattern spots and pattern spot attributes, the investigation template is used for storing attribute information of all tasks to be investigated, the investigation pattern spots are used for storing space coordinate positions of all the tasks to be investigated, and the pattern spot attributes are used for storing investigation results of all the tasks to be investigated; according to the space coordinate position of the to-be-investigated task, distributing the to-be-investigated task to a user side; the user side executes the to-be-investigated task and acquires an investigation result based on attribute information of the to-be-investigated task; the survey result is multi-modal data information. The problems that various geographical remote sensing survey requirements are different, and the workload is large when different survey tasks are configured can be solved.

The present invention discloses a geophysical real-time monitoring method for restoration agent migration that takes into account both temporal and spatial resolution optimization, and belongs to the field of data processing suitable for specific functions. The method includes: selecting a specified number of four-electrode measurement configurations from a comprehensive data set, obtaining ERT survey results, performing inversion, and determining the target area for subsequent surveys; according to the target area determined in the previous survey, using a non-dominated sorting genetic algorithm II to solve the multi-objective optimization model of this survey and obtain the Pareto front; comprehensively considering the spatial resolution and data acquisition time, selecting an optimal solution from the Pareto front, and determining the target area for the next survey after inversion; repeating the above optimization solution and inversion process in a subsequent series of time-shifted ERT survey optimizations to obtain the final restoration agent migration monitoring results. The present invention achieves an effective balance between spatial resolution and data acquisition time, and improves the accuracy of restoration agent distribution reconstruction.

The invention relates to the technical field of medical management, in particular to a radiology department follow-up visit management system and method and a medium, and the method comprises a role confirmation module which is used for collecting basic information of a user, and the basic information comprises illness state information; determining role information of the user based on the basic information; the questionnaire management module is used for distributing different user questionnaire survey reports based on the role information and the illness state information of the users and collecting questionnaire survey results; the iconography data management module is used for collecting an iconography report of a user; the evaluation module is used for evaluating the questionnaire grade of the user based on the questionnaire survey result; the diagnosis module is used for generating a corresponding diagnosis result based on the questionnaire grade and the iconography report; and the diagnosis and treatment measure providing module is used for providing corresponding diagnosis and treatment measures based on the diagnosis result, and further performing batch processing on batch volunteers or patients to obtain the corresponding diagnosis and treatment measures, so that the working efficiency of clinical examination of the radiology department is improved.

The application discloses a kind of three-dimensional reconstruction methods based on digital image acquisition in green reconstruction of existing building, belong to building informatization technical field, including: for the different types of building to be surveyed, the technical framework of field survey is established, the data of three aspects of geometry, color, disease is measured;For the applicability of different algorithms in different types of existing building, the three-dimensional reconstruction technology of existing building based on image is established;With BIM combined with GIS, the survey results are expressed and managed in three levels of building components, geographical environment and time evolution;With carbon emissions, thermal comfort, cost-effectiveness as the target, the green reconstruction technology integration coupled with wind, light and thermal environment is established.Through the application, more accurate data basis and convenience can be provided for green reconstruction of existing building in data collection and management.

The present invention discloses a video flow measurement method, device, storage medium and equipment based on an improved recursive full-field transformation optical flow model, belonging to the field of hydrological flow measurement technology. The method comprises: obtaining a river video and performing frame cutting processing to obtain video frames; calculating a transformation matrix based on the river video and pre-acquired survey results, transforming the on-map coordinates of each speed measurement point in each video frame in the river video into world coordinates through the transformation matrix, and obtaining the cross-sectional area between each speed measurement point; inputting the video frame into a trained improved recursive full-field transformation optical flow model, and outputting the pixel displacement between two adjacent frames of each speed measurement point; calculating the river surface flow velocity according to the pixel displacement, the world coordinates and the cross-sectional area; the present invention introduces a CBAM attention mechanism and deformable convolution, which can better detect complex river changes and subtle water surface movements, thereby improving the accuracy of the algorithm.

The application discloses a kind of investigation methods of construction site foundation pit dewatering staggered to sewage system, using sensor and real-time data monitoring system, realize accurate capture and analysis drainage system water quality, flow, liquid level long sequence variation, improve the accuracy of investigation result;Through sensing technology and data analysis, the source of foundation pit dewatering staggered is quickly positioned, is favorable for timely taking measures to correct, improve investigation efficiency;At the same time, manual intervention and related equipment use are reduced.

This invention discloses a comprehensive parameter design method for the cross-section of long-span highway tunnels. Using tunnel flatness ratio and equivalent initial support strength as two variables, and with tunnel safety and economy as dual objectives, it employs numerical simulation and regression analysis to establish evaluation indicators and objective functions for flatness ratio and initial support. Based on survey results, the range of variables for flatness ratio and equivalent initial support strength is determined. Safety constraints are defined according to safety requirements. A non-dominated sorting genetic algorithm is used to perform optimization calculations within the specified variable range and constraints to obtain mutually suitable tunnel cross-section flatness ratio and equivalent initial support strength. Furthermore, the equivalent initial support strength is transformed into support form and parameters, ultimately forming the optimal initial support parameters for long-span tunnels. This method overcomes the shortcomings of traditional long-span highway tunnel design methods that only consider safety or economy as a single objective, and solves the problem of relying on manual experience to determine the optimal flatness ratio and initial support parameters.

The invention provides a follow-up visit management method and system and a storage medium, and belongs to the technical field of follow-up visit management, and the method specifically comprises the steps: determining a patient who uses all follow-up visit question items to construct a follow-up visit questionnaire to carry out distribution processing based on the newly-added data of a to-be-follow-up visit patient and a review plan, and taking the patient as a distribution target patient, according to the method, the matched follow-up question item in the follow-up questionnaire is determined according to the matching condition of the survey result of the follow-up questionnaire of the released target patient and the review data, and the release management method of the matched follow-up question item is determined according to the release data of different matched follow-up question items, so that the data processing difficulty of the follow-up questionnaire is reduced.

To provide an interactive automated telephone survey program for more accurately reflecting the true intentions of survey target persons in a market survey.SOLUTION: A system for a market survey using an interactive automated telephone survey program, includes: means for using GPT to perform interaction with survey target persons and analyzing responses using deep learning; and means for outputting results of the market survey.SELECTED DRAWING: Figure 1

A computer-implemented technique may comprise receiving, for each of a dental user subject of a plurality of dental user subjects, survey result information respectively relating to an executed survey by each dental user subject. At least one machine-learning model may be selected based at least on the survey result information. Techniques may comprise inputting, into the at least one machine-learning model, the received survey result information. The at least one machine-learning model may determine at least one dental condition score for each dental user subject based, at least in part, on the survey result information. Techniques may comprise producing the at least one dental condition score for each dental user patient in a visually interpretable form, and / or an electronic form. The at least one machine-learning model may be calibrated, at least in part, with one or more dental treatment codes from dental study subjects.

The application discloses a kind of highway survey radar measurement systems based on electromagnetic wave, through quantum magnetic force gradient tensor analysis and space coordinate calibration, synthetic aperture radar echo feature extraction module cooperation, using quantum magnetic force navigation model and synthetic aperture radar algorithm, realize multi-source data space-time registration and weighted fusion, construct highway geology layered model and inversion geological parameter, after grid processing of fusion data, generate three-dimensional visual model.The system overcomes the defects of traditional technology multi-source data fusion deficiency and low precision of geological parameter inversion, improves the precision, efficiency and reliability of highway survey, provides accurate geological information and visual survey results for highway engineering design and construction, has important application value in the field of highway survey.