A method of field verification and evidence collection for natural resource survey and monitoring to prevent cheating

Abstract

The present invention proposes an anti-cheating natural resource survey and monitoring field verification and evidence method, comprising the following: S1, by setting a virtual positioning limit of a mobile terminal, after the judgment condition is met, an image acquisition instruction is executed; S2, according to the image acquisition content, it is saved to a server as evidence record information, and a verification code is generated on the server, and the evidence record information is encrypted by the verification code; S3, the evidence record information is submitted to the evidence information database for information comparison, so as to determine whether the evidence record information is the original field natural resource survey result, and uploaded to the cloud platform, and the blockchain service is used to prevent the evidence record information from being tampered with.

Description

Technical Field

[0001] The present invention relates to the field of land monitoring, and in particular to an anti-cheating natural resource survey and monitoring on-site verification and evidence-giving method. Background Art

[0002] Finding out the statistical data of natural resources, conducting natural resource surveys and monitoring, and mastering the detailed and accurate status of land use and changes in natural resources are the basis for carrying out a series of natural resource management work such as the preparation and implementation supervision of national land space planning, protection of cultivated land resources, control of land space use, development and utilization of natural resources and confirmation of rights. "Objectivity and truthfulness" are the lifeline of natural resource surveys and monitoring, and are very important. Carrying out on-site verification and evidence is an important measure to improve the survey and monitoring work and ensure the authenticity and reliability of the survey results. Since the implementation of the on-site verification and evidence measures, the existing technology has designed the verification rules for the integrated evidence elements of "shooting point coordinates (latitude, longitude), shooting azimuth, shooting time, shooting photos / videos, and investigation and verification information", built a land survey work platform, and uniformly distributed the authorization keys of survey cloud platforms at all levels, which has played an important role in supporting land change surveys, special surveys of natural resources, balance of cultivated land in and out, permanent agricultural occupation and re-demarcation, supervision and law enforcement, etc.

[0003] In actual work, there are a series of technical problems, including:

[0004] ① The shooting coordinates of the object of evidence can be modified through virtual positioning technology;

[0005] ② Currently, software manufacturers mainly generate verification codes jym on the operating end (App), which requires the manufacturer's private key to be stored on the client, which poses a risk of systemic cracking;

[0006] ③ Use tablet computers or color photos to fake the current status of non-real scene use;

[0007] ④ Using the design issues submitted late by the investigation cloud to tamper with the evidence photos by replacing the photos later;

[0008] ⑤ Local platforms still use centralized data management. In the later migration and management of evidence results, there is a risk of cheating such as management units or technical teams assisting in falsifying evidence records and tampering with results.

[0009] In view of the above problems and shortcomings, the shortcomings. Summary of the invention

[0010] The present invention aims to at least solve the technical problems existing in the prior art, and in particular innovatively proposes an anti-cheating natural resource survey and monitoring field verification and evidence-gathering method.

[0011] In order to achieve the above-mentioned object of the present invention, the present invention provides an anti-cheating natural resource survey and monitoring on-site verification and evidence method, comprising the following steps:

[0012] S1, by setting the virtual positioning limit of the mobile terminal, after the judgment condition is met, the image acquisition instruction is executed;

[0013] S2, saving the image acquisition content to the server as evidence record information, generating a verification code on the server, and encrypting the evidence record information through the verification code;

[0014] S3, submits the evidence record information to the evidence information database for information comparison, so as to determine whether the evidence record information is the original field natural resource survey result, and uploads it to the cloud platform to prevent the evidence record information from being tampered with through blockchain services.

[0015] Preferably, the above technical solution is that S1 comprises:

[0016] S1-1, by setting the virtual positioning limit of the mobile terminal and turning on the positioning function in real time, if the mobile terminal is detected to have turned on the virtual positioning configuration, the natural resource survey software is closed; if the mobile terminal is detected to have turned off the virtual positioning configuration, the natural resource survey software is started and S1-2 is executed:

[0017] S1-2, start the real-time photography command in the natural resources survey software, load the information stamp on the real-time photography command by obtaining the evidence summary information, and the information stamp includes the shooting latitude and longitude, shooting azimuth, and shooting time; perform lighting analysis on the photographed image to determine the lighting properties of the time period, and perform moiré detection on the photographed image to determine the depth of field and focal length of the photographed image;

[0018] S1-3, confirming that the information stamp loading operation of the photographed image is completed, and mapping the unique ID of the photographed image through the evidence record information saved in the database.

[0019] In the above technical solution, preferably, S2 comprises:

[0020] S2-1, the database embeds the encryption private key into the evidence record information and generates a verification code, and transmits the verification code back to the mobile terminal;

[0021] S2-2, the mobile terminal performs encryption operation on the photographed image according to the received verification code with the evidence record information, and submits the encrypted photographed image for verification.

[0022] In the above technical solution, preferably, S2 comprises:

[0023] S2-3, when submitting the verification results, the decryption operation is verified. After the verification is successful, the photographic image with the evidence record information is verified in the field, and the verified photographic image is placed in the object storage Obs bucket.

[0024] S2-4, if the cloud platform sends the keywords of the evidence task, a task content list is formed according to the preliminary task content of the natural resource survey and evidence collection, and the evidence spot data that needs to be provided is obtained according to the task content list. The evidence spot data contains photographic images with unique IDs, and the photographic images are displayed in sequence according to the time series.

[0025] In the above technical solution, preferably, S2 comprises:

[0026] S2-5, if the cloud platform sends a photographic image, based on the photographic image of the evidence record information generated by the natural resources survey, form evidence patch data saved according to historical records. The evidence patch data contains the natural resources survey evidence preliminary task content of the photographic image with a unique ID, forming a task content list.

[0027] In the above technical solution, preferably, S3 includes:

[0028] S3-1, compare the photographic image of the evidence record information obtained by query with the photographic image in the evidence information database, and verify the risk value through the photographic images called up successively by historical data Where n is the number of times the evidence record information is obtained, μ i is the weight of the positioning offset between the photographic image of the i-th evidence record information and the photographic image of the evidence information database, T i is the difference in positioning distance between the photographic image of the i-th evidence record information and the photographic image in the evidence information database.

[0029] In the above technical solution, S3 preferably includes:

[0030] S3-2, judging that the verification risk value of the photographic image is greater than a preset threshold; defining that the real deviation degree of the photographic image in the evidence information database is relatively high, using a replacement instruction to obtain an accurately positioned photographic image from the photographic image of the evidence record information for storage;

[0031] S3-3, determine that the verification risk value of the photographed image is less than a preset threshold; define that the real deviation of the photographed image in the evidence information database is low, save the photographed image in the current evidence information database; synchronize the photographed image in real time through the blockchain service.

[0032] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0033] 1. Before opening the mobile app to start field work, add restrictions on fake positioning. Check whether the app has opened the virtual positioning configuration, and also check whether there are other apps with virtual positioning. If so, remind the relevant operators and prohibit them from carrying out the work, so as to ensure the authenticity of the field evidence.

[0034] 2. After taking the photo, the client performs light detection, performs moiré and focal depth analysis on the photo, and extracts non-real scene photo taking behavior.

[0035] 3. As long as it is accessible, there is a risk of being cracked. The verification code jym generation rule required for encrypting the evidence results designed by the present invention is changed to be completed on the server side, avoiding the possibility of systemic risks after the manufacturer's private key stored in the app production software is cracked.

[0036] 4. All levels of evidence platforms will submit key information of evidence-providing behavior to the blockchain service built by the cloud platform in a timely manner, effectively reducing the risk of later forgery with the help of the characteristics of blockchain. At the same time, any replacement, modification, AI generation and other operations on the evidence photos will cause the summary information of the photos to change, resulting in verification failure. This will avoid cheating in the subsequent data migration or management process.

[0037] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0039] Figure 1 It is the overall flow chart of the present invention;

[0040] Figure 2 It is a virtual positioning screening information flow chart of the present invention;

[0041] Figure 3 It is a flowchart of the verification of evidence information of the present invention;

[0042] Figure 4 It is a schematic diagram of the overall operation of the present invention. DETAILED DESCRIPTION

[0043] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0044] like Figures 1 to 4 As shown, the present invention discloses a method for on-site verification and evidence collection for natural resource survey and monitoring to prevent cheating, comprising the following steps:

[0045] S1, by setting the virtual positioning limit of the mobile terminal, after the judgment condition is met, the image acquisition instruction is executed;

[0046] S2, saving the image acquisition content to the server as evidence record information, generating a verification code on the server, and encrypting the evidence record information through the verification code;

[0047] S3, submits the evidence record information to the evidence information database for information comparison, so as to determine whether the evidence record information is the original field natural resource survey result, and uploads it to the cloud platform to prevent the evidence record information from being tampered with through blockchain services.

[0048] The beneficial effect of the above technical solution is that in order to judge whether the historical data of natural resource survey and monitoring is true and valid, it has significant positive significance to judge whether the natural resource survey results are true and valid by collecting evidence and recording information in real time on the spot, thereby preventing the occurrence of untrue natural resource data.

[0049] Preferably, the above technical solution is that S1 comprises:

[0050] S1-1, by setting the virtual positioning limit of the mobile terminal and turning on the positioning function in real time, if the mobile terminal is detected to have turned on the virtual positioning configuration, the natural resource survey software is closed; if the mobile terminal is detected to have turned off the virtual positioning configuration, the natural resource survey software is started and S1-2 is executed:

[0051] S1-2, start the real-time photography command in the natural resources survey software, load the information stamp on the real-time photography command by obtaining the evidence summary information, and the information stamp includes the shooting latitude and longitude, shooting azimuth, and shooting time; perform lighting analysis on the photographed image to determine the lighting properties of the time period, and perform moiré detection on the photographed image to determine the depth of field and focal length of the photographed image;

[0052] S1-3, confirming that the information stamp loading operation of the photographed image is completed, and mapping the unique ID of the photographed image through the evidence record information saved in the database.

[0053] In the above technical solution, preferably, S2 comprises:

[0054] S2-1, the database embeds the encryption private key into the evidence record information and generates a verification code, and transmits the verification code back to the mobile terminal;

[0055] S2-2, the mobile terminal performs an encryption operation on the photographed image according to the received verification code with the evidence record information, and submits the encrypted photographed image for verification;

[0056] S2-3, when submitting the verification results, the decryption operation is verified. After the verification is successful, the photographic images with evidence record information are verified in the field, including images, videos, etc. The verified photographic images are placed in the object storage Obs bucket.

[0057] S2-4, if the cloud platform sends the evidence task keyword, a task content list is formed according to the content of the previous task of natural resource survey evidence, and the evidence spot data required for evidence is obtained according to the task content list. The evidence spot data contains the photographic image with a unique ID, and the photographic images are displayed in sequence according to the time series;

[0058] S2-5, if the cloud platform sends a photographic image, the photographic image of the evidence record information generated by the natural resources survey forms evidence spot data saved according to the historical records, and the evidence spot data contains the natural resources survey evidence pre-task content of the photographic image with a unique ID, forming a task content list;

[0059] In the above technical solution, S3 preferably includes:

[0060] S3-1, compare the photographic image of the evidence record information obtained by query with the photographic image in the evidence information database, and verify the risk value through the photographic images called up successively by historical data Where n is the number of times the evidence record information is obtained, μ i is the weight of the positioning offset between the photographic image of the i-th evidence record information and the photographic image of the evidence information database, T i μ is the difference in positioning distance between the photographic image of the i-th evidence record information and the photographic image of the evidence information database. i The weight is closely related to the photographic image positioning of the evidence information database and the positioning position of the photographic image of the i-th evidence record information. If the photographic image positioning of the evidence information database and the positioning position of the photographic image of the i-th evidence record information are farther apart, it means that the photographic image positioning information of the evidence information database has a higher offset, and thus the distance from the actual natural resources survey and monitoring location is farther away. If the photographic image positioning of the evidence information database and the positioning position of the photographic image of the i-th evidence record information are closer, it means that the photographic image positioning information of the evidence information database has a lower offset, and thus the distance from the actual natural resources survey and monitoring location is closer.

[0061] S3-2, judging that the verification risk value of the photographic image is greater than a preset threshold; defining that the real deviation degree of the photographic image in the evidence information database is relatively high, using a replacement instruction to obtain an accurately positioned photographic image from the photographic image of the evidence record information for storage;

[0062] S3-3, determine that the verification risk value of the photographed image is less than a preset threshold; define that the real deviation of the photographed image in the evidence information database is low, save the photographed image in the current evidence information database; synchronize the photographed image in real time through the blockchain service.

[0063] like Figure 4 As shown, the specific embodiments are:

[0064] Step 1: Before opening the mobile app to start field work, add restrictions on fake positioning. Check whether the app has opened the virtual positioning configuration, and also check whether there are other apps with virtual positioning. If so, prohibit the operation and remind the relevant operators to turn off the virtual positioning configuration.

[0065] Step 2: After taking the photo, perform light detection, photo moiré, and focal depth analysis on the client, and finally obtain key information of the real scene, including the coordinates of the shooting point (longitude, latitude, altitude), shooting azimuth (including pitch angle), shooting time, shooting person, and evidence attachments (photos, videos);

[0066] Step 3: The mobile terminal app sends the evidence record information to the web database. The database backend adds the encryption key (private key) issued by the manufacturer, generates a verification code jym on the backend and returns it to the app. At the same time, the key information of the evidence is pushed to the blockchain service of the cloud platform.

[0067] Step 4: The app encrypts the local evidence (field verification information and evidence photos) according to the verification code jym, and submits the data results to the server after verification at the front end (mainly considering the issue of later submission). In this way, the field verification and evidence work is completed.

[0068] Step 5: The calling and sharing of all evidence results rely on a unified standard evidence sharing service (referred to as the evidence pool).

[0069] Second, the stage of sharing and applying the evidence results, the steps are as follows:

[0070] Step 1: Business applications (including national or other third-party business systems) call the evidence sharing services built at all levels. The evidence results can be queried through forward or reverse search, including the verification information of the evidence task and the address of the evidence attachment.

[0071] Step 2: Based on the actual scenario needs, the business application system initiates a verification request to the blockchain service of the national evidence platform to verify the evidence results obtained in the previous step, including the validity of the evidence process records and evidence attachments. Finally, based on the verification conclusion, the validity of the evidence information is judged.

[0072] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A method for verifying and providing evidence in a field survey and monitoring of natural resources to prevent cheating, characterized in that: These include: S1, by setting the virtual positioning limit of the mobile terminal, after the judgment condition is met, the image acquisition instruction is executed; S2, saving the image acquisition content to the server as evidence record information, generating a verification code on the server, and encrypting the evidence record information through the verification code; S3, submits the evidence record information to the evidence information database for information comparison, so as to determine whether the evidence record information is the original field natural resource survey result, and uploads it to the cloud platform to prevent the evidence record information from being tampered with through blockchain services.

2. The anti-cheating natural resource survey and monitoring on-site verification and evidence method according to claim 1 is characterized in that: The S1 includes: S1-1, by setting the virtual positioning limit of the mobile terminal and turning on the positioning function in real time, if the mobile terminal is detected to have turned on the virtual positioning configuration, the natural resource survey software is closed; if the mobile terminal is detected to have turned off the virtual positioning configuration, the natural resource survey software is started and S1-2 is executed: S1-2, start the real-time photography command in the natural resources survey software, load the information stamp on the real-time photography command by obtaining the evidence summary information, and the information stamp includes the shooting latitude and longitude, shooting azimuth, and shooting time; perform lighting analysis on the photographed image to determine the lighting properties of the time period, and perform moiré detection on the photographed image to determine the depth of field and focal length of the photographed image; S1-3, confirming that the information stamp loading operation of the photographed image is completed, and mapping the unique ID of the photographed image through the evidence record information saved in the database.

3. The anti-cheating natural resource survey and monitoring on-site verification and evidence method according to claim 1 is characterized in that: The S2 includes: S2-1, the database embeds the encryption private key into the evidence record information and generates a verification code, and transmits the verification code back to the mobile terminal; S2-2, the mobile terminal performs encryption operation on the photographed image according to the received verification code with the evidence record information, and submits the encrypted photographed image for verification.

4. The anti-cheating natural resource survey and monitoring on-site verification and evidence method according to claim 3 is characterized in that: The S2 includes: S2-3, when submitting the verification results, the decryption operation is verified. After the verification is successful, the photographic image with the evidence record information is verified in the field, and the verified photographic image is placed in the object storage Obs bucket. S2-4, if the cloud platform sends the keywords of the evidence task, a task content list is formed according to the preliminary task content of the natural resource survey and evidence collection, and the evidence spot data that needs to be provided is obtained according to the task content list. The evidence spot data contains photographic images with unique IDs, and the photographic images are displayed in sequence according to the time series.

5. The anti-cheating natural resource survey and monitoring on-site verification and evidence method according to claim 4 is characterized in that: The S2 includes: S2-5, if the cloud platform sends a photographic image, based on the photographic image of the evidence record information generated by the natural resources survey, form evidence patch data saved according to historical records. The evidence patch data contains the natural resources survey evidence preliminary task content of the photographic image with a unique ID, forming a task content list.

6. The anti-cheating natural resource survey and monitoring on-site verification and evidence-giving method according to claim 1 is characterized in that: The S3 includes: S3-1, compare the photographic image of the evidence record information obtained by query with the photographic image in the evidence information database, and verify the risk value through the photographic images called up successively by historical data Where n is the number of times the evidence record information is obtained, μ i is the weight of the positioning offset between the photographic image of the i-th evidence record information and the photographic image of the evidence information database, T i is the difference in positioning distance between the photographic image of the i-th evidence record information and the photographic image in the evidence information database.

7. The anti-cheating natural resource survey and monitoring on-site verification and evidence method according to claim 6 is characterized in that: The S3 includes: S3-2, judging that the verification risk value of the photographic image is greater than a preset threshold; defining that the real deviation degree of the photographic image in the evidence information database is relatively high, using a replacement instruction to obtain an accurately positioned photographic image from the photographic image of the evidence record information for storage; S3-3, determine that the verification risk value of the photographed image is less than a preset threshold; define that the real deviation of the photographed image in the evidence information database is low, save the photographed image in the current evidence information database; synchronize the photographed image in real time through the blockchain service.

Images