Reconnaissance indoor and outdoor integrated production management method and system based on SaaS technology

Abstract

The invention relates to the technical field of big data platforms, in particular to a survey indoor and outdoor integrated production management method and system based on the SaaS technology, and the method comprises the steps: obtaining rock-soil collection data, and obtaining a data collection position and a field collection image from the rock-soil collection data; verifying the rock-soil collection data according to the data collection position and the field collection image, respectively obtaining the rock-soil collection data passing the verification and the rock-soil collection data failing the verification, taking the rock-soil collection data passing the verification as first to-be-uploaded collection data, and taking the rock-soil collection data failing the verification as to-be-corrected data; inputting the to-be-corrected data, the data acquisition position and the field acquisition image into a preset data error correction model for error correction processing to obtain second to-be-uploaded acquisition data; and after the first to-be-uploaded acquisition data and the second to-be-uploaded acquisition data are uploaded to a preset platform, a geotechnical survey report is generated. The method has the effect of improving the authenticity of the geotechnical investigation data.

Description

Technical Field

[0001] The present invention relates to the technical field of big data platforms, and in particular to a method and system for integrated production management of field surveys based on SaaS technology. Background Art

[0002] At present, with the continuous advancement of information technology, the geotechnical engineering survey industry is committed to achieving more efficient and accurate workflows. Existing survey management systems tend to combine multiple links such as project management, field data collection, and internal processing to improve overall work efficiency. The development of technologies such as SaaS cloud platforms and private cloud platforms provides a powerful infrastructure for this integration and promotes the digital transformation of survey processes.

[0003] There are some survey management platforms on the market that integrate project management, field cataloging, geotechnical testing and office data processing functions. These platforms collect data through drilling cataloging, in-situ testing and other means, and can draw maps and generate reports.

[0004] The above-mentioned prior art solutions have the following defects: Although the existing geotechnical engineering survey information systems have improved work efficiency to a certain extent, they still have room for improvement in ensuring data authenticity, achieving process traceability, and providing intelligent data inspection. Summary of the invention

[0005] In order to improve the authenticity of geotechnical survey data, this application provides an integrated production management method and system for survey and field operations based on SaaS technology.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for integrated production management of indoor and outdoor surveys based on SaaS technology, the method comprising: Acquire geotechnical acquisition data, and acquire data acquisition positions and field acquisition images from the geotechnical acquisition data; Verifying the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, respectively acquiring the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, and using the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and using the geotechnical acquisition data that has failed the verification as the data to be corrected; Inputting the data to be corrected, the data collection location and the on-site collected image into a preset data error correction model for error correction processing to obtain second collected data to be uploaded; After uploading the first collected data to be uploaded and the second collected data to be uploaded to a preset platform, a geotechnical survey report is generated.

[0007] By adopting the above technical solution, after obtaining the geotechnical acquisition data, the geotechnical acquisition data can be traced by obtaining the data acquisition location and the on-site acquisition image, thereby improving the authenticity of the original data of the geotechnical acquisition. Furthermore, the geotechnical acquisition data is verified, and the data that fails the verification is corrected, thereby reducing the workload of manual error troubleshooting and improving the authenticity of the geotechnical survey report finally generated. At the same time, when verifying the geotechnical acquisition data, the on-site acquisition image and the data acquisition location are used to verify the geotechnical acquisition data, which can make the verification process more consistent with the collection site, thereby improving the accuracy of the verification.

[0008] In a preferred example, the present application can be further configured as follows: the geotechnical acquisition data is verified according to the data acquisition position and the on-site acquisition image, and the geotechnical acquisition data that passes the verification and the geotechnical acquisition data that fails the verification are respectively obtained, specifically including: Acquire acquisition environment data according to the data acquisition position, and perform calculations based on the acquisition environment data and the rock and soil acquisition data to obtain rock and soil acquisition simulation data; Extracting acquisition site features from the on-site acquisition image, and generating an acquisition simulation image according to the acquisition site features and the rock and soil acquisition simulation data; The acquisition simulation image is compared with the on-site acquisition image, and the geotechnical acquisition data is verified according to the comparison result.

[0009] By adopting the above technical solution, when verifying the geotechnical acquisition data, by generating an acquisition simulation image, the corresponding effect of the geotechnical acquisition data can be simulated through the image, and then the image can be compared with the acquisition site to determine whether the geotechnical acquisition data is consistent with the actual mining situation on site, thereby improving the accuracy and efficiency of data verification.

[0010] In a preferred example, the present application can be further configured as follows: the data to be corrected, the data acquisition location, and the on-site acquisition image are input into a preset data error correction model for error correction processing to obtain the second acquisition data to be uploaded, specifically including: Obtaining image difference data corresponding to each of the to-be-corrected data from the comparison results, and inputting the image difference data, the data acquisition position and the on-site acquired image into the data correction model; The data error type is obtained from the data error correction model, and error correction processing is performed on the data to be corrected according to the data error type to obtain the second collected data to be uploaded.

[0011] By adopting the above technical solution, by obtaining the image difference data of the data to be corrected, and using the pre-trained data correction model to analyze the data acquisition location, on-site acquisition images and image difference data, it is possible to correct the geotechnical acquisition data in combination with the actual environment of geotechnical acquisition, thereby improving the accuracy of error correction.

[0012] In a preferred example, the present application may be further configured as follows: the step of obtaining the data error type from the data error correction model specifically includes: Analyzing the image difference data to obtain corresponding error analysis results; The collected data type of the data to be corrected is obtained, and the error analysis result is compared with the collected data type to obtain the data error type.

[0013] By adopting the above technical solution and analyzing the image difference data, it is possible to obtain abnormal situations in the data to be corrected from the error analysis results, and then obtain the corresponding data error type according to the collected data type, so as to perform targeted error correction on the data to be corrected.

[0014] In a preferred example, the present application may be further configured as follows: after the step of inputting the data to be corrected, the data acquisition location, and the on-site acquisition image into a preset data error correction model for error correction processing to obtain the second acquisition data to be uploaded, the method further includes: Obtaining data error correction feedback of the second collected data to be uploaded, and obtaining user error correction behavior data from the data error correction feedback; The user data modification data in the user error correction behavior data is counted according to a preset time period to obtain a user error correction behavior data set, and the data error correction model is updated according to the user error correction behavior data set.

[0015] By adopting the above technical solution and obtaining the user error correction behavior data set, the data error correction model can be updated and iterated according to the error correction situation fed back by the user, thereby continuously improving the accuracy of the subsequent use of the data error correction model.

[0016] The second object of the invention is achieved by the following technical solutions: An integrated production management system for survey and field operations based on SaaS technology, the integrated production management system for survey and field operations based on SaaS technology comprising: A data acquisition module, used to acquire geotechnical acquisition data, and to acquire data acquisition positions and field acquisition images from the geotechnical acquisition data; A data verification module is used to verify the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, respectively obtain the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, and use the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and use the geotechnical acquisition data that has failed the verification as the data to be corrected; A data error correction module, used for inputting the data to be corrected, the data collection location and the on-site collection image into a preset data error correction model for error correction processing to obtain second collection data to be uploaded; The data uploading module is used to generate a geotechnical survey report after uploading the first collected data to be uploaded and the second collected data to be uploaded to a preset platform.

[0017] By adopting the above technical solution, after obtaining the geotechnical acquisition data, the geotechnical acquisition data can be traced by obtaining the data acquisition location and the on-site acquisition image, thereby improving the authenticity of the original data of the geotechnical acquisition. Furthermore, the geotechnical acquisition data is verified, and the data that fails the verification is corrected, thereby reducing the workload of manual error troubleshooting and improving the authenticity of the geotechnical survey report finally generated. At the same time, when verifying the geotechnical acquisition data, the on-site acquisition image and the data acquisition location are used to verify the geotechnical acquisition data, which can make the verification process more consistent with the collection site, thereby improving the accuracy of the verification.

[0018] The third objective of the present application is achieved through the following technical solutions: A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned SaaS-based integrated production management method for field surveys are implemented.

[0019] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned SaaS-based integrated production management method for field surveys.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: 1. After obtaining the geotechnical acquisition data, the geotechnical acquisition data can be traced by obtaining the data acquisition location and the on-site acquisition image, thereby improving the authenticity of the original geotechnical acquisition data. Furthermore, the geotechnical acquisition data is verified, and the data that fails the verification is corrected, thereby reducing the workload of manual error troubleshooting and improving the authenticity of the geotechnical survey report finally generated. At the same time, when verifying the geotechnical acquisition data, the on-site acquisition image and data acquisition location are used to verify the geotechnical acquisition data, which can make the verification process more consistent with the collection site, thereby improving the accuracy of the verification; 2. When verifying the geotechnical acquisition data, by generating an acquisition simulation image, the corresponding effect of the geotechnical acquisition data can be simulated through the image, and then the image can be compared with the acquisition site to determine whether the geotechnical acquisition data is consistent with the actual mining situation on site, thereby improving the accuracy and efficiency of data verification; 3. By obtaining the user error correction behavior data set, the data error correction model can be updated and iterated based on the error correction feedback from users, thereby continuously improving the accuracy of the subsequent use of the data error correction model. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a flow chart of an integrated production management method for field survey based on SaaS technology in one embodiment of the present application; Figure 2 This is a flowchart for implementing step S20 of the method for integrated production management of field surveys based on SaaS technology in one embodiment of the present application; Figure 3 This is a flowchart for implementing step S30 of the method for integrated production management of field surveys based on SaaS technology in one embodiment of the present application; Figure 4 This is a flowchart for implementing step S32 of the method for integrated production management of field surveys based on SaaS technology in one embodiment of the present application; Figure 5 This is another implementation flow chart of the method for integrated production management of field survey and field operations based on SaaS technology in one embodiment of the present application; Figure 6 This is a principle block diagram of an integrated production management system for field survey and field operations based on SaaS technology in one embodiment of the present application; Figure 7 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0022] The present application is further described in detail below in conjunction with the accompanying drawings.

[0023] In one embodiment, if Figure 1 As shown, the present application discloses a method for integrated production management of field survey and field survey based on SaaS technology, which specifically includes the following steps: S10: Acquire geotechnical acquisition data, and obtain data acquisition positions and on-site acquisition images from the geotechnical acquisition data.

[0024] In this embodiment, the geotechnical acquisition data refers to the data of geotechnical samples collected during geotechnical survey.

[0025] Specifically, when sampling and surveying rock and soil, after obtaining the data collected by the sampling equipment, the GPS position of the collection equipment is obtained as the data collection position. At the same time, when uploading the collected data, the on-site collection images taken by the on-site personnel are uploaded together to obtain rock and soil collection data.

[0026] After obtaining the geotechnical acquisition data uploaded by the acquisition equipment and the on-site personnel, the data acquisition position and the on-site acquisition image are obtained from the geotechnical acquisition data.

[0027] S20: Verify the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, obtain the geotechnical acquisition data that has passed the verification, and the geotechnical acquisition data that has failed the verification, respectively, and use the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and use the geotechnical acquisition data that has failed the verification as the data to be corrected.

[0028] In this embodiment, the first collected data to be uploaded refers to the geotechnical collected data that has passed the verification and for which a report is to be generated. The data to be corrected refers to the geotechnical collected data that has failed the verification and needs to be corrected.

[0029] Specifically, the actual situation of the acquisition site is generated according to the data acquisition position and the on-site acquisition image, and the actual situation is compared with the geotechnical acquisition data. If the comparison result is that the geotechnical acquisition data is consistent with the actual situation on site, the verification is deemed to have passed. If the comparison result is that there is a large difference between the geotechnical acquisition data and the actual situation on site, the verification is deemed to have failed, and the geotechnical acquisition data that failed the verification is treated as data to be corrected, and further error correction processing is performed.

[0030] S30: Inputting the data to be corrected, the data collection location and the on-site collected image into a preset data error correction model for error correction processing to obtain the second collected data to be uploaded.

[0031] In this embodiment, the data error correction model refers to a pre-trained model used for automatically correcting the error of the data to be corrected. The second collected data to be uploaded refers to the geotechnical collected data after the error of the data to be corrected has been corrected.

[0032] Specifically, a pre-trained data error correction model is obtained, and the data to be corrected, the data collection location and the on-site collection image are input into the data error correction model. The data error correction model locates abnormal data from the data to be corrected according to the data collection location and the on-site collection image, and after correcting the abnormal data, the second collection data to be uploaded is obtained.

[0033] S40: After uploading the first collected data to be uploaded and the second collected data to be uploaded to a preset platform, a geotechnical survey report is generated.

[0034] Specifically, after the first collected data to be uploaded that has passed the verification and the second collected data to be uploaded obtained after error correction are uploaded to the geotechnical survey platform, they can be verified by relevant personnel. If the verification is passed, a report of this geotechnical survey is generated based on the first collected data to be uploaded and the second collected data to be uploaded as a geotechnical survey report.

[0035] In this embodiment, after the geotechnical acquisition data is acquired, the geotechnical acquisition data can be traced by acquiring the data acquisition location and the on-site acquisition image, thereby improving the authenticity of the original geotechnical acquisition data. Furthermore, the geotechnical acquisition data is verified, and the data that fails the verification is corrected, thereby reducing the workload of manual error troubleshooting and improving the authenticity of the geotechnical survey report finally generated. At the same time, when verifying the geotechnical acquisition data, the on-site acquisition image and the data acquisition location are used to verify the geotechnical acquisition data, which can make the verification process more consistent with the collection site, thereby improving the accuracy of the verification.

[0036] In one embodiment, if Figure 2 As shown, in step S20, the geotechnical acquisition data is verified according to the data acquisition position and the on-site acquisition image, and the geotechnical acquisition data that passes the verification and the geotechnical acquisition data that fails the verification are obtained respectively, which specifically includes: S21: Acquire acquisition environment data according to the data acquisition position, perform calculations based on the acquisition environment data and the geotechnical acquisition data, and obtain geotechnical acquisition simulation data.

[0037] Specifically, the local environmental conditions are obtained from the specific GPS coordinates of the geotechnical survey at the data collection location, and the collection environment data is generated according to the environmental conditions.

[0038] Furthermore, simulation calculation is performed based on the acquisition environment data and the geotechnical acquisition data to obtain the geotechnical acquisition data, such as the mining aperture, and the corresponding characteristics in the acquisition environment as the geotechnical acquisition simulation data.

[0039] S22: extracting acquisition site features from the on-site acquisition image, and generating an acquisition simulation image according to the acquisition site features and the geotechnical acquisition simulation data.

[0040] Specifically, image features other than traces of mining are extracted from the on-site acquisition image as acquisition site features.

[0041] Further, a corresponding simulation image is generated according to the existing acquisition features and the geotechnical acquisition simulation data to obtain the acquisition simulation image. For example, if the geotechnical acquisition simulation data shows that the aperture of a certain mining is 20m, a borehole with an aperture of 20m is simulated at the corresponding position in the acquisition simulation image.

[0042] S23: performing image comparison between the collected simulation image and the on-site collected image, and verifying the geotechnical collected data according to the comparison result.

[0043] Specifically, an image comparison is performed between the acquisition simulation image and the mining traces in the on-site acquisition image, and the geotechnical acquisition data is verified based on whether there is a difference in the comparison result or whether the difference is within an error range.

[0044] In one embodiment, if Figure 3 As shown, in step S30, the data to be corrected, the data collection location and the on-site collection image are input into a preset data correction model for error correction processing to obtain the second collection data to be uploaded, which specifically includes: S31: Obtain image difference data corresponding to each to-be-corrected data from the comparison result, and input the image difference data, data acquisition position and on-site acquisition image into a data correction model.

[0045] In this embodiment, the image difference data refers to data recording the difference between the mining traces in the acquisition simulation image and the on-site acquisition image.

[0046] Specifically, the survey data uploaded by past personnel and the records of error correction of the survey data are counted in advance, and training is performed based on the statistical results to obtain the data error correction model.

[0047] Furthermore, since the data to be corrected is obtained by comparing the mining traces in the simulated image with the on-site image, and comparing the large differences, image difference data is obtained from the comparison result, such as the difference in the size of the mined aperture, and the image difference data, the data acquisition location and the on-site image are input into the data correction model.

[0048] S32: Obtain the data error type from the data error correction model, and perform error correction processing on the data to be corrected according to the data error type to obtain the second collected data to be uploaded.

[0049] In this embodiment, the data error type is the type of abnormality that occurs in each to-be-corrected data.

[0050] Specifically, the data error correction model verifies the abnormal data type in the data to be corrected according to the data collection location and the on-site collection image, takes it as the data error type, and performs error correction processing on the specific data corresponding to each data error type, thereby obtaining the second uploaded collection data.

[0051] In one embodiment, if Figure 4 As shown, in step S32, the data error type is obtained from the data error correction model, specifically including: S321: Analyze the image difference data to obtain corresponding error analysis results.

[0052] Specifically, analysis is performed based on the type of differences in the image difference data, such as abnormal data such as the size and position of the mined aperture, as the error analysis result.

[0053] S322: Obtain the data type of the data to be corrected, compare the error analysis result with the data type, and obtain the data error type.

[0054] Specifically, the type of each group of data, such as the meaning corresponding to each value, is obtained from the data to be corrected as the collected data type. Further, the type of abnormal data of the data to be corrected recorded in the error analysis result is compared with the collected data type, so as to compare the data type with abnormality in the data to be corrected as the data error type.

[0055] In one embodiment, if Figure 5 After step S30, the integrated production management method for field survey based on SaaS technology also includes: S301: Obtain data error correction feedback of the second collected data to be uploaded, and obtain user error correction behavior data from the data error correction feedback.

[0056] In this embodiment, the data error correction feedback refers to a record of the user confirming the second collected data to be uploaded obtained after error correction.

[0057] Specifically, after obtaining the second collected data to be uploaded, the user checks the corrected data and records the checked behavior data, wherein the checked behavior data includes data confirmation behavior indicating that the user confirms that the correction is correct and behavior indicating that the user has modified the corrected data again, as user correction behavior data.

[0058] S302: Counting the user data modification data in the user error correction behavior data according to a preset time period to obtain a user error correction behavior data set, and updating the data error correction model according to the user error correction behavior data set.

[0059] Specifically, the behavior of the user modifying the corrected data again in the user error correction behavior data is obtained as the user data modification data, and the data is counted according to a preset time period to obtain a user error correction behavior data set. Further, after the user error correction behavior data set reaches a certain amount of data, the data error correction model is trained by the user error correction behavior data set to update and iterate the data error correction model.

[0060] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0061] In one embodiment, a survey and indoor integrated production management system based on SaaS technology is provided, and the survey and indoor integrated production management system based on SaaS technology corresponds to the survey and indoor integrated production management method based on SaaS technology in the above embodiment. Figure 6 As shown in the figure, the integrated production management system for field survey based on SaaS technology includes data acquisition module, data verification module, data error correction module and data upload module. The detailed description of each functional module is as follows: A data acquisition module is used to acquire geotechnical acquisition data, and obtain data acquisition positions and field acquisition images from the geotechnical acquisition data; A data verification module is used to verify the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, and obtain the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification respectively, and use the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and use the geotechnical acquisition data that has failed the verification as the data to be corrected; A data error correction module is used to input the data to be corrected, the data collection location and the on-site collection image into a preset data error correction model for error correction processing to obtain the second collection data to be uploaded; The data uploading module is used to generate a geotechnical survey report after uploading the first collected data to be uploaded and the second collected data to be uploaded to a preset platform.

[0062] Optionally, the data verification module includes: The data simulation submodule is used to obtain the acquisition environment data according to the data acquisition position, and to calculate according to the acquisition environment data and the geotechnical acquisition data to obtain the geotechnical acquisition simulation data; An image simulation submodule is used to extract acquisition site features from the on-site acquisition images and generate acquisition simulation images based on the acquisition site features and geotechnical acquisition simulation data; The image comparison submodule is used to compare the acquired simulation image with the on-site acquired image, and verify the geotechnical acquisition data according to the comparison results.

[0063] Optionally, the data error correction module includes: The model input submodule is used to obtain the image difference data corresponding to each data to be corrected from the comparison results, and input the image difference data, data acquisition location and on-site acquisition image into the data correction model; The data error correction submodule is used to obtain the data error type from the data error correction model, perform error correction processing on the data to be corrected according to the data error type, and obtain the second collection data to be uploaded.

[0064] Optionally, the data error correction submodule includes: A data analysis unit, used to analyze the image difference data and obtain corresponding error analysis results; The data comparison unit is used to obtain the collected data type of the data to be corrected, compare the error analysis result with the collected data type, and obtain the data error type.

[0065] The optional SaaS-based integrated production management system for field surveys also includes: A behavior data acquisition module, used to obtain data error correction feedback of the second collected data to be uploaded, and obtain user error correction behavior data from the data error correction feedback; The model updating module is used to count the user data modification data in the user error correction behavior data according to a preset time period to obtain the user error correction behavior data set, and update the data error correction model according to the user error correction behavior data set.

[0066] For the specific definition of the integrated production management system for survey and outdoor operations based on SaaS technology, please refer to the definition of the integrated production management method for survey and outdoor operations based on SaaS technology mentioned above, which will not be repeated here. Each module in the above-mentioned integrated production management system for survey and outdoor operations based on SaaS technology can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0067] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a production management method for integrated field survey based on SaaS technology is implemented.

[0068] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Acquire geotechnical acquisition data, and obtain data acquisition positions and field acquisition images from the geotechnical acquisition data; Verify the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, obtain the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, and use the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and use the geotechnical acquisition data that has failed the verification as the data to be corrected; Input the data to be corrected, the data collection location and the on-site collection image into a preset data error correction model for error correction processing to obtain the second collection data to be uploaded; After uploading the first collected data to be uploaded and the second collected data to be uploaded to the preset platform, a geotechnical survey report is generated.

[0069] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Acquire geotechnical acquisition data, and obtain data acquisition positions and field acquisition images from the geotechnical acquisition data; Verify the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, obtain the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, and use the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and use the geotechnical acquisition data that has failed the verification as the data to be corrected; Input the data to be corrected, the data collection location and the on-site collection image into a preset data error correction model for error correction processing to obtain the second collection data to be uploaded; After uploading the first collected data to be uploaded and the second collected data to be uploaded to the preset platform, a geotechnical survey report is generated.

[0070] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0071] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0072] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for integrated production management of field surveys based on SaaS technology, characterized in that: The SaaS-based integrated production management method for field surveys includes: Acquire geotechnical acquisition data, and acquire data acquisition positions and field acquisition images from the geotechnical acquisition data; Verifying the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, respectively acquiring the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, and using the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and using the geotechnical acquisition data that has failed the verification as the data to be corrected; Inputting the data to be corrected, the data collection location and the on-site collected image into a preset data error correction model for error correction processing to obtain second collected data to be uploaded; After uploading the first collected data to be uploaded and the second collected data to be uploaded to a preset platform, a geotechnical survey report is generated.

2. The method for integrated production management of field survey and field survey based on SaaS technology according to claim 1 is characterized in that: The step of verifying the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, and obtaining the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, specifically includes: Acquire acquisition environment data according to the data acquisition position, and perform calculations based on the acquisition environment data and the rock and soil acquisition data to obtain rock and soil acquisition simulation data; Extracting acquisition site features from the on-site acquisition image, and generating an acquisition simulation image according to the acquisition site features and the rock and soil acquisition simulation data; The acquisition simulation image is compared with the on-site acquisition image, and the geotechnical acquisition data is verified according to the comparison result.

3. The method for integrated production management of field survey and field survey based on SaaS technology according to claim 2 is characterized in that: The step of inputting the data to be corrected, the data acquisition location, and the on-site acquisition image into a preset data error correction model for error correction processing to obtain the second acquisition data to be uploaded specifically includes: Obtaining image difference data corresponding to each of the to-be-corrected data from the comparison results, and inputting the image difference data, the data acquisition position and the on-site acquired image into the data correction model; The data error type is obtained from the data error correction model, and error correction processing is performed on the data to be corrected according to the data error type to obtain the second collected data to be uploaded.

4. The method for integrated production management of field survey and field survey based on SaaS technology according to claim 3 is characterized in that: The acquiring the data error type from the data error correction model specifically includes: Analyzing the image difference data to obtain corresponding error analysis results; The collected data type of the data to be corrected is obtained, and the error analysis result is compared with the collected data type to obtain the data error type.

5. The method for integrated production management of field survey and field survey based on SaaS technology according to claim 3 is characterized in that: After the step of inputting the data to be corrected, the data acquisition location and the on-site acquisition image into a preset data error correction model for error correction processing to obtain the second acquisition data to be uploaded, the method further includes: Obtaining data error correction feedback of the second collected data to be uploaded, and obtaining user error correction behavior data from the data error correction feedback; The user data modification data in the user error correction behavior data is counted according to a preset time period to obtain a user error correction behavior data set, and the data error correction model is updated according to the user error correction behavior data set.

6. An integrated production management system for field survey based on SaaS technology, characterized in that: The SaaS-based integrated production management system for field surveys includes: A data acquisition module, used to acquire geotechnical acquisition data, and to acquire data acquisition positions and field acquisition images from the geotechnical acquisition data; A data verification module is used to verify the geotechnical acquisition data according to the data acquisition position and the on-site acquisition image, respectively obtain the geotechnical acquisition data that has passed the verification and the geotechnical acquisition data that has failed the verification, and use the geotechnical acquisition data that has passed the verification as the first acquisition data to be uploaded, and use the geotechnical acquisition data that has failed the verification as the data to be corrected; A data error correction module, used for inputting the data to be corrected, the data collection location and the on-site collection image into a preset data error correction model for error correction processing to obtain second collection data to be uploaded; The data uploading module is used to generate a geotechnical survey report after uploading the first collected data to be uploaded and the second collected data to be uploaded to a preset platform.

7. The SaaS-based integrated production management system for field surveys according to claim 6 is characterized in that: The data verification module comprises: A data simulation submodule, used for acquiring acquisition environment data according to the data acquisition position, and performing calculations according to the acquisition environment data and the geotechnical acquisition data to obtain geotechnical acquisition simulation data; An image simulation submodule, used for extracting acquisition site features from the on-site acquisition image, and generating an acquisition simulation image according to the acquisition site features and the rock and soil acquisition simulation data; The image comparison submodule is used to compare the acquired simulation image with the on-site acquired image, and verify the geotechnical acquisition data according to the comparison result.

8. The SaaS-based integrated production management system for field surveys according to claim 6 is characterized in that: The data error correction module comprises: A model input submodule, used for obtaining the image difference data corresponding to each of the data to be corrected from the comparison results, and inputting the image difference data, the data acquisition position and the on-site acquisition image into the data correction model; The data error correction submodule is used to obtain the data error type from the data error correction model, perform error correction processing on the data to be corrected according to the data error type, and obtain the second collected data to be uploaded.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for integrated production management of field surveys based on SaaS technology as described in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the steps of the method for integrated production management of field survey based on SaaS technology as described in any one of claims 1 to 5 are implemented.

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