136 results about "Survey result" patented technology

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 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.

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 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 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 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.

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.

This invention provides a cadastral survey web-based viewing management system that allows for easy viewing of cadastral maps and cadastral registers, a cadastral survey web-based viewing management method, a computer program for implementing the same, and a cadastral survey web-based viewing system. [Solution] User terminals 300a to 300c are equipped with the ability to connect to the internet and the ability to use a web browser. The internet 400 is connected to web servers 500a to 500c that provide the website of the cadastral survey company. The website 500 of the cadastral survey company publishes a web page of the cadastral survey results. Users can view information related to the cadastral survey results using user terminals 300. User terminals 300 can access the URL (Uniform Resource Locator) on the web server 500 where the web page for viewing the cadastral survey results is stored, and display the web page for viewing the cadastral survey results.

The invention provides a method, a device, equipment and a medium for inverting radon source intensity based on a radon measurement result, and the method comprises the steps: obtaining the structure data of an underground tunnel and the radon concentration measurement data in the underground tunnel; establishing a radon diffusion model and a radon seepage model; inverting the radon source intensity by combining the structure data and the radon concentration measurement data; and comparing and analyzing inversion results of the two models to obtain a radon source strong estimation value, so as to solve the problem of using radon survey results and radon measurement data to guide protection engineering design.

To enable collection of user feedback from users who considered purchasing a product but ultimately did not.SOLUTION: A merchandise sales support system transmits and receives messages to and from user terminals of online shoppers via a communication tool using a communications network. The merchandise sales support system includes: an education content transmission unit configured to transmit messages containing education content to deepen understanding of a product to multiple user terminals; a non-purchasing user identification unit configured to identify, among the multiple user terminals to which the education content was transmitted, user terminals of users who did not purchase the product; a questionnaire transmission unit configured to transmit messages containing questionnaire content to the identified non-purchasing user terminals; and a questionnaire results receiving unit configured to receive the results of input into the questionnaire content by the non-purchasing user terminals.SELECTED DRAWING: Figure 2

The invention discloses a three-dimensional cadastral data anomaly detection method based on deep learning, and particularly relates to the field of data processing, and the method comprises the steps: S1, cadastral unit coding, S2, cadastral survey result generation, S3, ownership analysis, S4, anomaly perception, S5, risk analysis, and S6, human-computer interaction. According to the invention, unique identification of each piece of cadastral data is realized through cadastral unit coding, then abnormity perception is carried out on the cadastral data, resource perception and abnormal state monitoring are carried out based on the cadastral survey result, risk analysis of the cadastral data is carried out, a closed loop of monitoring, analysis and early warning is formed, and the risk of the cadastral data is improved. Therefore, a traditional passive problem processing mode is optimized, the situation that the large-scale three-dimensional cadastral data rapid processing requirement cannot be met due to the fact that the data processing efficiency is limited is avoided, the anomaly detection efficiency is improved when normal cadastral data collection is guaranteed, and a safe and credible tool is provided for unified management of the cadastral data.

To provide an information processor, an information processing method, and a computer program that visualize a potential customer of a commodity and a service and realize an accurate approach to the potential customer.SOLUTION: A life action estimation system includes a life action estimation device, a member terminal, and a customer terminal. The life action estimation device includes: a survey result acquisition unit that acquires a survey result related to a survey of consumption behavior of a survey target member; an estimation unit that inputs member information of the survey target member, inputs, by using an estimation model trained to output the survey result, membership information of an estimation target member, and estimates a score related to the consumption behavior; and a profile generation unit that generates, on the basis of the score, a profile of the estimation target member.SELECTED DRAWING: Figure 2

The invention provides a deep learning-based endometrial cancer detection method and system, and relates to the technical field of cancer detection, and the method comprises the steps: obtaining preliminary survey data; determining a preliminary survey result; determining whether histopathology detection is needed or not; if histopathology detection needs to be carried out, hysteroscope guided biopsy data of the patient to be detected are obtained, and a histopathology definite diagnosis result is determined; determining whether further detection is needed or not; if further detection is needed, acquiring patient physiological state data, medical image data and laboratory detection data of the to-be-detected patient; determining a physiological state influence coefficient of the patient; processing the medical image data, the laboratory detection data and the physiological state influence coefficient of the patient through a trained tumor deterioration time prediction model, and determining predicted tumor deterioration time; determining an endometrial cancer danger coefficient; and generating a detection report. According to the invention, the accuracy of the detection result of the endometrial cancer can be improved.

The invention discloses a plant quadrat investigation method based on deep learning, and the method comprises the steps: manually selecting a sampling scheme, carrying out the network connection of a sampling image transmission device and a carrier, and transmitting the sampling scheme; receiving picture data from the sampling picture transmission equipment and the carrier to obtain a sampling data set; analyzing the sampling data set to obtain a rough recognition result set; according to the sampling scheme, carrying out weight addition calculation on the rough recognition result set to obtain a high-precision recognition block, and analyzing the high-precision recognition block to obtain a final quadrat survey result; a species competition database is called according to the final quadrat investigation result, a simulation environment is constructed, and the final quadrat investigation result is introduced and a risk report is obtained; and generating an optional sampling scheme according to the final quadrat survey result and the risk report, and merging the optional sampling scheme into the sampling scheme.

The invention relates to a territorial resource survey result storage method and system based on artificial intelligence, and aims to solve the problems of low efficiency and insufficient intelligence in the storage verification process of massive survey result data. The system preprocesses uploaded data through a survey result reading and analyzing unit, extracts core content and generates a unique identifier; the MD5 storage verification unit is used for realizing rapid comparison and result reuse; and when direct matching cannot be performed, the survey result storage and verification unit performs deep verification in combination with the encrypted information table, and manual verification can be triggered. The system is further provided with a processing unit, through maintaining a log table and a mapping relation pair, historical verification experience is dynamically accumulated, and features which are stable in conclusion and appear at high frequency are converted into a rapid judgment basis, so that an intelligent verification assembly line with self-learning and self-adaptive capabilities is formed. According to the method, the automation level and the processing efficiency of storage verification are remarkably improved while the data security and the verification preciseness are guaranteed.

The invention relates to a near-surface three-dimensional speed modeling method and device, a storage medium and electronic equipment. The near-surface three-dimensional speed modeling method comprises the following steps: generating a three-dimensional speed model based on acquired survey result data of each surface layer; performing interpolation operation based on the surface survey result data of each grid point on the three-dimensional speed model to obtain a three-dimensional speed interpolation model; based on the construction boundary position information of the target work area, shearing the three-dimensional speed interpolation model to obtain a near-surface three-dimensional speed model of the target work area; the near-surface three-dimensional speed model is sliced according to a preset slicing strategy, a near-surface three-dimensional speed slicing model is obtained, and based on the near-surface three-dimensional speed slicing model, surface layer speed information and speed reduction layer thickness change information of the target work area are obtained; and based on the obtained surface layer speed information and the speed reduction layer thickness change information, optimizing the preliminarily arranged surface layer survey control points of the target work area. The layout precision of the control points can be improved.

The application discloses a three-dimensional cadastral survey result checking method, and relates to the technical field of data processing. The method comprises the following steps: inputting a preset three-dimensional building model and a preset three-dimensional land parcel model into a preset three-dimensional GIS topological analysis engine to perform spatial relationship judgment, determining a land parcel falling detection result based on a spatial relationship judgment result and a right ownership detection result; determining an out-of-bound distance between a building and a land parcel and an overlapping volume between the building and a neighboring building based on a preset spatial conflict quantification model, and determining a building falling detection result according to the out-of-bound distance, the overlapping volume and a planning detection result; and obtaining a target checking result according to the land parcel falling detection result, the building falling detection result and a building number falling detection result, so that the accuracy of cadastral survey result detection can be improved.

The invention discloses a recovery potential evaluation method for cultivated land reserve resources. The method comprises the following steps: making a survey base map on the basis of annual land change survey result data; constructing a cultivated land reserve resource evaluation index system, and evaluating the cultivability of the cultivated land reserve resources in the survey base map; determining arable land reserve resource potential map spots through indoor screening and field checking on the basis of the limiting factors; according to the method, the cultivated land reserve resource evaluation index system is set, and the cultivation suitability of the cultivated land reserve resources in the survey base map is evaluated; and the regional cultivated land reserve resource potential map spots with the cultivated land forming potential are screened out through the limiting factors, so that the recovery potential of the cultivated land reserve resources is evaluated and analyzed, a scientific and effective regional cultivated land reserve resource plan is formed, and a promotion effect on a subsequent specific implementation plan is achieved.