On-site examination route generation method, examination assembly and examination method

Abstract

The invention discloses an on-site examination route generation method, an examination assembly and an examination method, and relates to the technical field of on-site examinations, in the on-site examination route generation method provided by the invention, a route is randomly generated based on a distance threshold and an actual distance in the examination route generation step, and the route generation efficiency is greatly improved; by evenly distributing the number of times of selection of initial examination point locations, using a random arrangement algorithm and selecting a counter, the phenomena of excessive use of target point locations and student gathering are avoided, and the examination fairness is improved; by integrating the plant type information of the target point location, it is ensured that the plant types in the same examination route are not repeated, the examination content is enriched, and examination site repetition is avoided; in combination with an on-site examination assembly and an on-site examination method, integrated management of generation, distribution, navigation and result processing of an examination route is realized, and the convenience and effectiveness of the examination system are improved.

Description

Technical Field

[0001] This invention relates to the field of field testing technology, specifically to a method for generating field testing routes, testing components, and testing methods. Background Technology

[0002] In the field of on-site examinations, especially in route planning involving multiple target locations, traditional methods typically rely on teachers manually designing and arranging fixed routes. This manual approach has several drawbacks: First, route generation is inefficient, requiring teachers to examine each road and point within the examination area, manually draw maps, and travel to the site in the designated order, which is time-consuming and labor-intensive. Second, due to its reliance on subjective experience, the randomness and fairness of the routes are difficult to guarantee, potentially leading to some students facing either simple or complex routes, affecting the impartiality of the examination. Furthermore, manual design often ignores the actual distance constraints of the points, potentially generating routes that are too far or too close, resulting in unreasonable examination time or difficulties in passage. Finally, current technology lacks a systematic integration of additional information about the points, leading to a lack of comprehensive examination content and an inability to effectively assess students' overall abilities.

[0003] To improve the automation level of route generation, existing technologies have introduced solutions based on GPS positioning or simple random algorithms. For example, marking exam locations on electronic maps and generating route sequences using random sorting reduces the manual workload to some extent and increases the diversity of routes. However, these methods still have significant shortcomings: they typically do not consider distance thresholds between adjacent points, resulting in generated routes that may contain unreasonable point intervals, affecting the smoothness of the exam process; at the same time, the selection of initial points lacks a balanced allocation mechanism, which may lead to some points being overused while others are ignored, reducing the fairness of the exam.

[0004] In conclusion, current on-site exam route generation technology urgently needs a comprehensive improvement solution that can simultaneously address issues such as low route generation efficiency, insufficient randomness and fairness, neglect of distance constraints, and monotonous exam content. Summary of the Invention

[0005] The purpose of this invention is to address the aforementioned problems by providing a method for generating on-site examination routes, examination components, and examination methods. By achieving automated path generation, it ensures reasonable distances between points and balanced initial allocation, and integrates image information to improve examination quality, thereby meeting the needs of modern education for efficient, fair, and diverse examinations.

[0006] The technical solution adopted in this invention is as follows: A method for generating on-site testing routes includes the following steps: Map generation steps: Within the examination area, information on passable roads is collected, and the collected road information is transmitted to the route generation module to generate the examination map, or an existing map is directly loaded as the examination map; Point generation steps: Within the examination area, set M target points, acquire the location information of the target points through the information collection device, and upload the location information of the target points to the route generation module; the route generation module associates the location information of the target points with the examination map, and generates the actual distance between the two target points based on the location information of the two target points and the corresponding road information; The generation setup steps are as follows: In the route generation module, set the number of test routes to be generated n, the number of test points included in each route m, and the number of test points m is less than or equal to the number of target test points M; set the distance threshold t between two adjacent generated test points. Exam route generation steps: From the number of target exam locations M, randomly select one target location without replacement as the initial exam location and mark it as X1. From the target locations whose actual distance L from the target location X1 is within the distance threshold t, randomly select one without replacement as the second exam location and mark it as X2. From the target locations whose actual distance L from the target location X2 is within the distance threshold t, randomly select one without replacement as the third exam location and mark it as X3. Repeat this step until the m-th target location Xm is selected. Connect the target locations X1 to Xm in sequence to obtain an exam route, which is stored in the route generation module. Repeat this step until n exam routes are generated.

[0007] By adopting the above technical solution, the exam map is automatically collected and generated through the map generation step, the target point generation step obtains the location information of the target points and calculates the actual distance, the generation and setting step configures the exam parameters such as the number of exam routes n, the number of exam points m, and the distance threshold t, and the exam route generation step randomly generates routes based on the distance threshold t. This achieves automated generation of exam routes, greatly improving efficiency and avoiding the time-consuming and labor-intensive manual design. At the same time, by constraining the actual distance between adjacent points through the distance threshold t, the rationality of the path and the smoothness of the exam process are ensured, solving the problem of ignoring distance constraints in traditional methods.

[0008] Furthermore, in the exam route generation step, if the number of exam routes n ≤ the number of target points M, then the target points X1 selected by the n exam routes are all different; if the number of target points M of (y-1) < the number of exam routes n ≤ the number of target points M of y, where y is an integer greater than or equal to 2, then the number of times each target point can be selected as an initial exam point is set to (y-1) or y.

[0009] By adopting the above technical solution, the number of times the initial test sites are selected is evenly distributed, avoiding the overuse or neglect of certain sites and preventing students from crowding together during the actual test.

[0010] Furthermore, if the number of test routes n ≤ the number of target points M, a random permutation algorithm is used to assign each target point one initial selection opportunity; if (y-1) target points M < the number of test routes n ≤ y target points M, the route generation module first calculates the proportional coefficient y = n / M, where y is rounded up, then calculates the basic allocation k = y-1, and the additional allocation r = nk * M. A random permutation algorithm is used to randomly select r target points from M points, assigning y initial selection opportunities, and assigning k initial selection opportunities to the remaining Mr target points. The route generation module randomly selects one target point from all target points whose current selection opportunities have not reached the upper limit as the initial point and updates the selection counter of that target point accordingly.

[0011] By adopting the above technical solution, the number of times each target point is used as the initial point is precisely controlled through the random permutation algorithm and the selection counter mechanism, the balanced use of target points is achieved, effectively avoiding students crowding together; at the same time, the algorithm automatically calculates the allocation amount, ensuring the efficiency and accuracy of path generation, and solving the problems of unfairness and inefficiency that may be caused by manual allocation.

[0012] Furthermore, in the exam route generation step, after selecting the initial exam location, starting from the target location X1, the route generation module enters an iterative selection process. For each current target location, the route generation module calculates a set of all candidate target locations whose actual distance L does not exceed the threshold t. From the set of candidate target locations, a location is randomly selected as the next target location Xi for the exam route. This process is repeated until the m-th target location Xm is selected.

[0013] By adopting the above technical solutions, the iterative selection process and the generation of candidate target point sets ensure that each subsequent point is within the distance threshold range, maintaining the continuity and rationality of the path; the random selection mechanism increases the diversity of the path, while avoiding unreasonable point intervals, improving the examination experience and fairness.

[0014] Furthermore, in the point generation step, each target point is planted with plants for the exam, and image information of the target point is acquired through an information acquisition device, and the image information is associated with the corresponding target point; in the exam route generation step, an exam route with image reference is generated.

[0015] By adopting the above technical solution, and by integrating image information with target locations, an examination route with image reference is generated, enabling students to check the accuracy of their arrival location based on visual information.

[0016] Furthermore, in the point generation step, plant species information can be entered through the information collection device, and the plant species information can be associated with the target point. In the test route generation step, the plant species corresponding to each target point in the same test route are different.

[0017] By adopting the above technical solution, and by associating plant species information and ensuring that the species are not repeated in the same route, the exam content is diversified, the same knowledge points are not repeatedly tested, the scientific nature and comprehensiveness of the exam are enhanced, and it helps to assess students' comprehensive abilities.

[0018] Furthermore, in the test route generation step, target points whose plant species are the same as those already existing in the current route are excluded from the candidate target point set. Then, a target point Xi is randomly selected from the remaining target points as the next target point Xi for the test route. This process is repeated until the m-th target point Xm is selected.

[0019] By employing the aforementioned technical solution, the uniqueness of plant species in the generated exam route is ensured by eliminating locations with duplicate species, thus preventing duplicate exam locations.

[0020] A field examination component, which generates an examination route using the aforementioned field examination route generation method, further includes a field examination teacher terminal device, a field examination student terminal device, and a background information data device. The field examination teacher terminal device and the field examination student terminal device are both signal-connected to the background information data device. The information collection device is located on the field examination teacher terminal device, the route generation module is located on the background information data device, and the field examination student terminal device is equipped with a navigation module that can navigate the examination route.

[0021] By adopting the above technical solution, the generation, allocation, and navigation of examination routes are integrated through the collaborative work of on-site examination teacher-side devices, student-side devices, and back-end information data devices. The teacher-side devices are used for information collection, the student-side devices are used for examination navigation, and the back-end devices process data, which improves the efficiency and convenience of the entire examination system. The navigation module helps students accurately follow the path, ensuring the smooth conduct of the examination.

[0022] A field testing method, applied to the aforementioned field testing components, further includes the following steps: Information collection steps: Teachers use the on-site examination teacher terminal device to collect information on passable roads and target locations within the examination area, and then transmit the collected information to the back-end information data device; or directly load an existing map into the back-end information data device; Data generation steps: The background information data device generates an exam map and n exam routes based on the received information; Answering steps: During the exam, students use their on-site exam student terminal device to randomly select an exam route from the backend information data device, then proceed to each target point according to the selected exam route to answer questions, and transmit their answers back to the backend information data device; Exam result output steps: The backend information data device automatically determines whether the answer is correct, or transmits the answer to the on-site teacher's device, where the teacher determines whether the answer is correct, and then transmits it back to the backend information data device to generate the exam result. The exam result is then sent by the backend information data device to the corresponding teacher and / or student.

[0023] Thanks to the adoption of the above technical solutions, the entire process from exam route generation to exam result output is fully automated, significantly improving exam efficiency. Randomly selecting exam routes ensures fairness, and automatic or manual judgment of answers provides flexibility, solving the problems of low efficiency and insufficient fairness in traditional methods.

[0024] Furthermore, in the exam result output step, the background information data device can also generate an error question bank based on the exam results and send the error question bank to the corresponding students.

[0025] By adopting the above-mentioned technical solutions, personalized learning feedback is provided, helping students to review their weak points, enhancing the educational value and learning effectiveness of the exams, and solving the problem of lack of follow-up guidance in traditional exams.

[0026] In summary, due to the adoption of the above technical solutions, the beneficial effects of this invention are as follows: It achieves automated generation of on-site examination routes. The map generation step automatically collects road information and generates an examination map; the point generation step obtains target point location information and calculates actual distances; the generation and setting step configures the number of examination routes, the number of examination points, and distance thresholds; and the examination route generation step randomly generates routes based on distance thresholds and actual distances, significantly improving path generation efficiency. By evenly distributing the initial number of examination point selections and using a random permutation algorithm and selection counter, it avoids overuse of target points and student clustering, thus improving examination fairness. By integrating plant species information of target points, it ensures that plant species are not repeated in the same examination route, enriching the examination content and avoiding duplicate test points. By combining on-site examination components and methods, it achieves integrated management of examination route generation, allocation, navigation, and result processing, improving the convenience and effectiveness of the examination system. Furthermore, by generating an error question bank to provide personalized learning feedback, it enhances the educational value and learning effectiveness of the examination. Attached Figure Description

[0027] Figure 1 This is a flowchart of the exam route generation process of this invention; Figure 2 This is a schematic block diagram of the modules of the on-site examination teacher terminal device of the present invention; Figure 3 This is a schematic block diagram of the modules of the field examination component of the present invention. Detailed Implementation

[0028] The present invention will now be described in detail with reference to the accompanying drawings.

[0029] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0030] Example 1 A method for generating on-site test routes, such as Figure 1 As shown, it includes the following steps: Map generation steps: Within the examination area, information on passable roads is collected, and the collected road information is transmitted to the route generation module to generate the examination map. The information collected here can include not only roads but also terrain, buildings, and other information. In other embodiments, an existing map can also be directly loaded as the examination map.

[0031] Point generation steps: Within the examination area, set M target points, acquire the location information of the target points through an information collection device, and upload the location information of the target points to the route generation module; the route generation module associates the location information of the target points with the examination map, and generates the actual distance between the two target points based on the location information of the two target points and the corresponding road information; specifically, the target points can be points selected based on the GPS positioning of the examination plant itself, or points selected based on landmarks near the examination plant.

[0032] The generation setup steps are as follows: In the route generation module, set the number of test routes to be generated n, the number of test points included in each route m, and the number of test points m is less than or equal to the number of target test points M; set the distance threshold t between two adjacent generated test points. Exam route generation steps: From the number of target exam locations M, randomly select one target location without replacement as the initial exam location and mark it as X1. From the target locations whose actual distance L from X1 is within a distance threshold t, randomly select one as the second exam location without replacement and mark it as X2. From the target locations whose actual distance L from X2 is within a distance threshold t, randomly select one as the third exam location without replacement and mark it as X3. Repeat this step until the m-th target location Xm is selected. Connect target locations X1 to Xm sequentially to obtain an exam route, which is stored in the route generation module. Repeat this step until n exam routes are generated. Here, "randomly select without replacement" means that the selected target location will not be selected repeatedly in subsequent selections.

[0033] Specifically, the system automatically collects road information and generates an exam map through a map generation step, obtains target point location information and calculates actual distances through a point generation step, configures exam parameters such as the number of exam routes (n), the number of exam points (m), and a distance threshold (t) through a setup step, and randomly generates routes based on the distance threshold (t) through a route generation step. This achieves automated generation of exam routes, significantly improving efficiency and avoiding the time-consuming and labor-intensive manual design. Simultaneously, by constraining the actual distances between adjacent points through the distance threshold (t), the system ensures the rationality of the path and the smoothness of the exam process, solving the problem of neglecting distance constraints in traditional methods. In other embodiments, information collection can be completed using drones or mobile devices, and road information can include 3D maps, thereby further optimizing the feasibility of the path and the adaptability to the exam environment.

[0034] In the exam route generation step, if the number of exam routes n ≤ the number of target points M, then the target points X1 selected for each of the n exam routes are set to be different; if (y-1) * number of target points M < number of exam routes n ≤ y * number of target points M, where y is an integer greater than or equal to 2, then the number of times each target point can be selected as an initial exam point is set to (y-1) or y. Specifically, by evenly distributing the number of selections for initial exam points, the overuse or neglect of certain points is avoided, preventing students from crowding together during the actual exam.

[0035] If the number of exam routes n ≤ the number of target points M, a random permutation algorithm is used, assigning each target point one initial selection opportunity. If (y-1) * number of target points M < number of exam routes n ≤ y * number of target points M, the route generation module first calculates the proportional coefficient y = n / M, where y is rounded up, then calculates the basic allocation k = y-1, and the additional allocation r = nk * M. A random permutation algorithm is then used to randomly select r target points from the M points, assigning them y initial selection opportunities. The remaining Mr target points are assigned k initial selection opportunities. The route generation module then randomly selects one target point from all target points whose current selection opportunities have not reached the upper limit as an initial point and updates the selection counter for that target point accordingly. Specifically, through the random permutation algorithm and the selection counter mechanism, the number of times each target point is used as an initial point is precisely controlled, achieving balanced use of target points and effectively avoiding student overcrowding. Simultaneously, the algorithm automatically calculates the allocation, ensuring the efficiency and accuracy of path generation and solving the unfairness and inefficiency that may result from manual allocation. In other embodiments, weighted random algorithms or machine learning models can be used to optimize the allocation strategy, such as adjusting the selection probability based on the difficulty or location characteristics of the target location, to enhance the personalization and adaptability of the exam.

[0036] In the exam route generation step, after selecting the initial exam points, the route generation module enters an iterative selection process starting from the target point X1. For each current target point, the route generation module calculates a set of all candidate target points whose actual distance L does not exceed a threshold t. A point is randomly selected from this set of candidate target points as the next target point for the exam route. This process is repeated until the m-th target point Xm is selected. Specifically, through the iterative selection process and the generation of the candidate target point set, it ensures that each subsequent point is within the distance threshold, maintaining the continuity and rationality of the path. The random selection mechanism increases the diversity of the path while avoiding unreasonable point intervals, improving the exam experience and fairness. In other embodiments, iterative selection can be combined with existing path optimization algorithms to generate the shortest or most time-efficient path, thereby further improving exam efficiency and student experience.

[0037] In the location generation step, each target location is planted with plants for the exam. Image information of the target locations is acquired through an information acquisition device, and the image information is associated with the corresponding target locations. In the exam route generation step, an exam route with image references is generated. Specifically, by integrating image information with target locations, an exam route with image references is generated, allowing students to check the accuracy of their arrival at their destination based on visual information. In other embodiments, the image information may include multi-angle shots or video clips, and combined with augmented reality technology to provide an immersive exam experience, thereby enhancing the accuracy and interactivity of location verification. Teacher's voice prompts can also be collected and recorded, and associated with the corresponding target locations.

[0038] In the point generation step, plant species information can be entered through an information collection device, and this information is then associated with the target points. In the exam route generation step, each target point along the same exam route corresponds to a different plant species. Specifically, by associating plant species information and ensuring that no two species are repeated along the same route, the exam content is diversified, avoiding repeated testing of the same knowledge points, enhancing the scientific rigor and comprehensiveness of the exam, and helping to assess students' overall abilities.

[0039] In the exam route generation step, target points whose plant species are duplicated with those already present on the current route are excluded from the candidate target point set. Then, a target point is randomly selected from the remaining target points as the next target point for the exam route. This process is repeated until the m-th target point Xm is selected. Specifically, by excluding points with duplicate plant species, the uniqueness of plant species in the generated exam route is ensured, preventing duplicate test points. In other embodiments, the exclusion mechanism can be applied to other exam elements such as question types or difficulty levels to dynamically adjust the route content, ensuring the comprehensiveness and challenge of the exam.

[0040] Example 2 A field testing component, such as Figure 2 , Figure 3As shown, the on-site examination route generation method provided in Embodiment 1 generates an examination route, including an on-site examination teacher-end device, an on-site examination student-end device, and a backend information data device. Both the on-site examination teacher-end device and the on-site examination student-end device are signal-connected to the backend information data device. The information collection device is located on the on-site examination teacher-end device, and the route generation module is located on the backend information data device. The on-site examination student-end device has a navigation module for navigating the examination route; existing GPS technology can be used here. Specifically, through the collaborative work of the on-site examination teacher-end device, student-end device, and backend information data device, the generation, allocation, and navigation of the examination route are integrated. The teacher-end device is used for information collection, the student-end device is used for examination navigation, and the backend processes data, improving the efficiency and convenience of the entire examination system. The navigation module helps students accurately follow the path, ensuring the smooth conduct of the examination.

[0041] The on-site examination teacher terminal device includes a teacher terminal device housing, a camera module, a teacher terminal display module, a teacher terminal control module, a positioning module, and a teacher terminal operation module. The teacher terminal display module and the teacher terminal operation module are horizontally arranged on the upper surface of the teacher terminal device housing, the camera module is vertically arranged on the side surface of the teacher terminal device housing, and the teacher terminal control module and the positioning module are disposed inside the teacher terminal device housing. The camera module, the teacher terminal display module, the teacher terminal control module, and the positioning module are all signal-connected to the teacher terminal control module.

[0042] The teacher-side device housing is also equipped with a teacher-side power module and a teacher-side storage module. The teacher-side power module is electrically connected to the teacher-side control module, and the teacher-side storage module is signal-connected to the teacher-side control module.

[0043] The student-side device for on-site examinations includes a student-side device housing, a student-side display module, a student-side control module, a navigation module, and a student-side operation module. The student-side display module and operation module are horizontally positioned on the upper surface of the student-side device housing. The student-side control module and navigation module are located inside the student-side device housing, and the navigation module, display module, and control module are all signal-connected to the student-side control module. A timing module is also installed inside the student-side device housing, and this timing module is signal-connected to the student-side control module. A student-side power module and storage module are also installed inside the student-side device housing. The power module is electrically connected to the student-side control module, and the storage module is signal-connected to the student-side control module.

[0044] Both the teacher-side and student-side devices for the on-site examination are signal-connected to a backend information data device. The backend information data device includes a backend information storage module and a backend control module. The backend information storage module is signal-connected to the backend control module. The backend control module is signal-connected to the teacher-side control module and the student-side control module. The backend information storage module is signal-connected to the teacher-side storage module and the student-side storage module, enabling direct data connection and storage between different devices and ensuring data transmission efficiency.

[0045] Example 3 A field examination method, applied to the field examination component provided in Embodiment 2, includes the following steps: Information collection step: Teachers use the field examination teacher terminal device to collect information on passable roads and target points within the examination area, and then transmit the collected information to the background information data device; or directly load an existing map into the background information data device; Data generation step: The background information data device generates an examination map and n examination routes based on the received information; Answering step: During the examination, students use the field examination student terminal device to randomly select an examination route from the background information data device, then travel to each target point according to the selected examination route to answer questions, and transmit the answers back to the background information data device; Examination result output step: The background information data device automatically judges whether the answers are correct, or transmits the answers to the field examination teacher terminal device, where the teacher judges whether the answers are correct, and then transmits them back to the background information data device to generate examination results. The examination results are then sent by the background information data device to the corresponding teacher and student. Specifically, from exam route generation to exam result output, the system achieves fully automated management of on-site exams, significantly improving exam efficiency. Randomly selected exam routes ensure fairness, and automatic or manual assessment of answers provides flexibility, resolving the inefficiencies and lack of fairness inherent in traditional methods. In other embodiments, a time limit function can be introduced through a timing module. This module ensures the exam is completed within a limited time, automatically submitting the current answers upon reaching the time limit. The backend data processing device automatically scores the answers or transmits them to the on-site exam teacher's device for assessment. The teacher then sends the scores back to the backend data processing device to generate exam results, which are then sent to the corresponding teacher and student. Simultaneously, the score data is stored in the backend data storage module for teachers to summarize and analyze scores, further optimizing the exam process and learning assessment.

[0046] In the exam result output step, the backend information data device can also generate an error question bank based on the exam results and send the error question bank to the corresponding students. Specifically, this provides personalized learning feedback, helping students review their weak points, enhancing the educational value and learning effectiveness of the exam, and solving the problem of lack of follow-up guidance in traditional exams. In other embodiments, the error question bank can be combined with an adaptive learning system to recommend targeted exercises or resources, and support parents and teachers in viewing progress, forming a closed-loop learning management ecosystem.

[0047] This document uses specific embodiments to illustrate the principles and implementation methods of the present invention. The descriptions of these embodiments are only intended to aid in understanding the method and core ideas of the present invention. It should be noted that those skilled in the art can make various improvements and modifications to the present invention without departing from its principles, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

[0048] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of this invention is usually placed during use. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0049] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

Claims

1. A method for generating a field test route, characterized in that, Includes the following steps, Map generation steps: Within the examination area, information on passable roads is collected, and the collected road information is transmitted to the route generation module to generate the examination map, or an existing map is directly loaded as the examination map; Point generation steps: Within the examination area, set M target points, acquire the location information of the target points through the information collection device, and upload the location information of the target points to the route generation module; the route generation module associates the location information of the target points with the examination map, and generates the actual distance between the two target points based on the location information of the two target points and the corresponding road information; The generation setup steps are as follows: In the route generation module, set the number of test routes to be generated n, the number of test points included in each route m, and the number of test points m is less than or equal to the number of target test points M; set the distance threshold t between two adjacent generated test points. Exam route generation steps: From the number of target exam locations M, randomly select one target location without replacement as the initial exam location and mark it as X1. From the target locations whose actual distance L from the target location X1 is within the distance threshold t, randomly select one without replacement as the second exam location and mark it as X2. From the target locations whose actual distance L from the target location X2 is within the distance threshold t, randomly select one without replacement as the third exam location and mark it as X3. Repeat this step until the m-th target location Xm is selected. Connect the target locations X1 to Xm in sequence to obtain an exam route, which is stored in the route generation module. Repeat this step until n exam routes are generated.

2. The method for generating on-site examination routes as described in claim 1, characterized in that, In the exam route generation step, if the number of exam routes n ≤ the number of target points M, then the target points X1 selected by the n exam routes are all different; if (y-1) * number of target points M < number of exam routes n ≤ y * number of target points M, where y is an integer greater than or equal to 2, then the number of times each target point can be selected as an initial exam point is set to (y-1) or y.

3. The method for generating on-site examination routes as described in claim 2, characterized in that, If the number of test routes n ≤ the number of target points M, a random permutation algorithm is used, assigning each target point one initial selection opportunity. If (y-1) * number of target points M < number of test routes n ≤ y * number of target points M, the route generation module first calculates the proportional coefficient y = n / M, where y is rounded up, then calculates the basic allocation k = y-1, and the additional allocation r = nk * M. A random permutation algorithm is used to randomly select r target points from the M points, assigning them y initial selection opportunities. The remaining Mr target points are assigned k initial selection opportunities. The route generation module randomly selects one target point from all target points whose current selection opportunities have not reached the upper limit as the initial point and updates the selection counter of that target point accordingly.

4. The method for generating on-site examination routes as described in any one of claims 1-3, characterized in that, In the exam route generation step, after selecting the initial exam location, the route generation module enters an iterative selection process starting from the target location X1. For each current target location, the route generation module calculates a set of all candidate target locations whose actual distance L does not exceed the threshold t. It then randomly selects a location from the candidate target location set as the next target location Xi for the exam route. This process is repeated until the m-th target location Xm is selected.

5. The method for generating on-site examination routes as described in claim 4, characterized in that, In the point generation step, each target point is planted with plants for the exam, and image information of the target points is acquired through an information acquisition device and associated with the corresponding target points; in the exam route generation step, an exam route with image references is generated.

6. The method for generating on-site examination routes as described in claim 5, characterized in that, In the point generation step, plant species information can also be entered through the information collection device, and the plant species information can be associated with the target point. In the test route generation step, the plant species corresponding to each target point in the same test route are different.

7. The method for generating on-site examination routes as described in claim 6, characterized in that, In the test route generation step, target points whose plant species are the same as those already existing in the current route are excluded from the candidate target point set. Then, a target point Xi is randomly selected from the remaining target points as the next target point Xi for the test route. This process is repeated until the m-th target point Xm is selected.

8. A field testing component, which generates a test route using the field testing route generation method as described in any one of claims 1-7, characterized in that, It includes a teacher-side device for on-site examinations, a student-side device for on-site examinations, and a back-end information data device. Both the teacher-side device and the student-side device for on-site examinations are signal-connected to the back-end information data device. The information collection device is located on the teacher-side device for on-site examinations, the route generation module is located on the back-end information data device, and the student-side device for on-site examinations has a navigation module that can navigate the examination route.

9. A field testing method, applied to the field testing component as described in claim 8, characterized in that, Includes the following steps: Information collection steps: Teachers use the on-site examination teacher terminal device to collect information on passable roads and target locations within the examination area, and then transmit the collected information to the back-end information data device; or directly load an existing map into the back-end information data device; Data generation steps: The background information data device generates an exam map and n exam routes based on the received information; Answering steps: During the exam, students use their on-site exam student terminal device to randomly select an exam route from the backend information data device, then proceed to each target point according to the selected exam route to answer questions, and transmit the answers back to the backend information data device; Exam result output steps: The backend information data device automatically determines whether the answer is correct, or transmits the answer to the on-site teacher's device, where the teacher determines whether the answer is correct, and then transmits it back to the backend information data device to generate the exam result. The exam result is then sent by the backend information data device to the corresponding teacher and / or student.

10. The field examination method as described in claim 9, characterized in that, In the exam result output step, the background information data device can also generate an error question bank based on the exam results and send the error question bank to the corresponding students.

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