Agricultural machinery driving operator examination equipment, system and method based on Beidou positioning

Abstract

The invention discloses agricultural machinery driver examination equipment, system and method based on Beidou positioning, and belongs to the technical field of driving examinations, and the system comprises a satellite positioning antenna, a mobile station, a satellite base station, a satellite, a driver examination data acquisition module and an examination center platform. The device comprises a satellite positioning antenna, a mobile station, a satellite base station, a satellite, a driver examination data acquisition module and an examination center platform. The position of the agricultural machine is monitored in real time through satellite positioning and mobile data, driving operation behavior monitoring data and theoretical knowledge examination data are combined, and the driving operation safety estimation index is comprehensively analyzed, so that the operation safety of a driver is evaluated, and the safety degree of future operation of the driver is predicted; the actual operation capability of the agricultural machine driver is comprehensively evaluated, and the problem that the actual operation capability of the agricultural machine driver is not comprehensively evaluated in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of driving test, and in particular to agricultural machinery driving operator test equipment, system and method based on Beidou positioning. Background Art

[0002] With the advancement of agricultural modernization and mechanization, agricultural production has become increasingly dependent on agricultural machinery. Especially in the context of large-scale mechanized operations, the operation technology of agricultural machinery and the safety awareness of drivers have become increasingly important. The skill level of agricultural machinery drivers is not only related to operating efficiency, but also directly affects farmland safety and the sustainable development of agricultural production. In order to cope with increasingly complex operating requirements and ensure production safety, the training and examination of agricultural machinery drivers also need to keep pace with the times and gradually transform to informatization, digitization and intelligence.

[0003] Modern agricultural machinery driving test systems have begun to use computerized management, virtual simulation technology and intelligent evaluation methods, which can not only more accurately evaluate the driver's operating ability, but also optimize the training process and improve the quality of training through data.

[0004] For example, the invention patent with announcement number CN102360460B discloses a driver test supervision system, including: a test equipment verification system and a test equipment networking system. The verification system includes an authorization module, the networking system includes a test supervision module, the authorization module includes a management authorization module, a device feature extraction module, and a networking authorization module. The device feature extraction module extracts the feature parameters of the device and verifies the management authorization module. After success, the extracted device feature parameters are synchronously saved in the networking authorization module; the supervision module includes a networking comparison module and a call data recording module. The networking comparison module reads the feature parameters saved in the networking authorization module and compares the test equipment. After consistency, the test equipment calls the candidate information and writes the test results. The comparison module synchronously saves the call data in the call data recording module.

[0005] For example, the invention patent with announcement number CN106934740B discloses a driver test assessment method and system, including: a test terminal installed on a vehicle collects the candidate's identity information, vehicle location and vehicle equipment status information, and the test terminal determines whether the driver's test can be started based on the vehicle location and vehicle equipment status information; when the test terminal determines that the driver's test can be started, it sends a start test request carrying the candidate's identity information to the background server, and after the background server verifies the candidate's identity information, it sends a start test instruction to the test terminal.

[0006] However, the existing technologies, including the above-mentioned technologies, have at least the following technical problems: Although the basic operating ability of the examinee can be evaluated through the test scores of the examinee, there are some significant limitations. The test results usually only reflect the performance of the examinee in a specific test situation, that is, they can only show the surface scores and lack a comprehensive evaluation of the examinee's actual comprehensive ability. This evaluation method cannot accurately reveal the examinee's mastery of various knowledge points, especially the evaluation of some practical operating skills and emergency handling capabilities is not comprehensive enough. In summary, the existing technology has the problem of incomplete evaluation of the actual operating ability of agricultural machinery drivers and operators. Summary of the invention

[0007] In view of the above-mentioned problems, the purpose of the present invention is to provide an agricultural machinery driver operator examination device, system and method based on Beidou positioning, which can comprehensively evaluate the actual operating ability of agricultural machinery drivers and operators.

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions: Agricultural machinery driver and operator examination equipment based on Beidou positioning, including: agricultural machinery driver and operator examination equipment, special examination equipment, paperless examination system and electronic pile examination instrument; Agricultural machinery driver operator examination equipment, used to monitor the driving operation behavior of agricultural machinery drivers when taking examinations using special examination equipment; Special test equipment, used to provide a test driving environment for agricultural machinery operators; Paperless test system, used for paperless computer test of driving operator's theoretical knowledge; The electronic pole tester is used to test the site driving operation skills and field operation driving operation skills.

[0009] The agricultural machinery driving operator examination system based on Beidou positioning is applied to the above-mentioned agricultural machinery driving operator examination equipment based on Beidou positioning, including a satellite positioning antenna, a mobile station, a satellite base station, a satellite, a driving operator examination data acquisition module and an examination center platform; Satellite positioning antenna, used to calibrate the position of agricultural machinery; Mobile station, used to measure the movement data of satellite positioning antenna; Satellite base station, used to collect the movement data of the satellite positioning antenna on the mobile station and send the movement data to the satellite; Satellite, used to receive mobile data from satellite base stations and send the mobile data to the test center platform; A driver operator test data acquisition module is used to acquire driver operator test data, acquire driver operation behavior monitoring data through agricultural machinery driver operator test equipment, acquire theoretical knowledge test data through a paperless test system, record the driver operation behavior monitoring data and theoretical knowledge test data as driver operator test data, and send the driver operator test data to the test center platform; The examination center platform is used to receive driver examination data and mobile data sent from satellites. It is also used to analyze the driving operation safety prediction index based on the driver examination data and mobile data. The driving operation safety prediction index is used to estimate the safety level of the driver when he drives agricultural machinery next time.

[0010] Preferably, the test center platform also includes: an unqualified item detection module, a travel trajectory recognition module, an alarm prompt module, and a test result output module; The unqualified item detection module is used to detect the test vehicle's stalling, pole collision, line failure, and vehicle forward and backward times; A travel trajectory recognition module is used to identify the location and travel status of the test vehicle; An alarm prompt module is used to send an alarm prompt to the agricultural machinery driver through an audio-visual mode; The test result output module is used to display, store and print the test results.

[0011] Preferably, the specific method of obtaining the driving operation safety estimation index is: Based on the theoretical knowledge test data in the driver test data, a theoretical knowledge safety index is analyzed. The theoretical knowledge safety index is used to reflect the driver's mastery of the theory. Based on the driving operation behavior monitoring data and movement data in the driver test data, a driving behavior safety index is analyzed. The driving behavior safety index is used to reflect the driver's mastery of driving operations; The influencing factors of the theoretical knowledge safety index and driving behavior safety index on the driving operation safety prediction index were obtained through the objective weighting method. According to the theoretical knowledge safety index, driving behavior safety index and influencing factors, the driving operation safety estimation index is analyzed through the driving operation safety estimation index formula.

[0012] Preferably, the driving operation safety prediction index formula is specifically: ; In the formula, AHYI is the driving operation safety estimation index, e is the natural constant, LI is the theoretical knowledge safety index, JI is the driving behavior safety index, is the impact factor of LI on AHYI, is the impact factor of JI on AHYI.

[0013] Preferably, the specific method for obtaining the theoretical knowledge security index is: Extract theoretical knowledge test scores, total number of wrong test questions, difficulty level of wrong test questions, total time to answer test questions, and mapping relationship between test questions and knowledge points from theoretical knowledge test data of driving operator test data; The coverage of test questions and knowledge points is obtained based on the mapping relationship between test questions and knowledge points; Obtain the influencing factors of each data of theoretical knowledge test data on the theoretical knowledge security index through objective weighting method; According to the theoretical knowledge test data and its influencing factors, the theoretical knowledge safety index is analyzed using the theoretical knowledge safety index formula.

[0014] Preferably, the theoretical knowledge safety index formula is: ; In the formula, LI is the theoretical knowledge safety index, MG is the theoretical knowledge test score, WT is the total number of wrong test questions, is the difficulty level of the i-th wrong test question, i is the wrong test question number, , DT is the total time for answering the test questions, NF is the coverage of test knowledge points, tanh is the hyperbolic tangent function, and ln is the natural logarithm function.

[0015] Preferably, the specific method for obtaining the driving behavior safety index is: Acquire driving operation behavior monitoring data, driving operation behavior monitoring auxiliary data and movement data in the driving operator test data; The acceleration and steering angular velocity of agricultural machinery are extracted based on the driving operation behavior monitoring data; Extract the driving path offset distance and line-sticking time based on mobile data; The weights of agricultural machinery acceleration, agricultural machinery steering angular velocity, driving path offset distance and line-sticking time for driving safety index are obtained according to the objective weighting method; The driving behavior safety index is analyzed using the driving behavior safety index formula based on the acceleration of the agricultural machinery, the steering angular velocity of the agricultural machinery, the driving path offset distance, the line-sticking time and their weights.

[0016] Preferably, the driving behavior safety index formula is: ; In the formula, JI is the driving behavior safety index, AN is the acceleration of agricultural machinery, is the average acceleration of the agricultural machinery, WN is the steering angular velocity of the agricultural machinery, is the average steering angular velocity of the agricultural machinery, is the driving path offset distance, is the average offset distance of the driving path, Is the duration of the line, is the average sticking time, is the weight of agricultural machinery acceleration to JI, is the weight of the agricultural machinery steering angular velocity for JI, is the weight of the driving path offset distance for JI, The weight of the sticking time for JI.

[0017] The agricultural machinery driving operator examination method based on Beidou positioning is applied to the agricultural machinery driving operator examination system based on Beidou positioning, and comprises the following steps: Calibrate the position of agricultural machinery through satellite positioning antenna; Measuring the movement data of satellite positioning antennas through mobile stations; The mobile data of the satellite positioning antenna on the mobile station is collected through the satellite base station and the mobile data is sent to the satellite; Receive mobile data from satellite base stations via satellite and send the mobile data to the test center platform; The driver test data is obtained through the driver test data acquisition module, the driver operation behavior monitoring data is obtained through the agricultural machinery driver test equipment, and the theoretical knowledge test data is obtained through the paperless test system. The driver operation behavior monitoring data and the theoretical knowledge test data are recorded as the driver test data, and the driver test data is sent to the test center platform; The test center platform receives the driver's test data and the mobile data sent from the satellite, and also analyzes the driving operation safety prediction index based on the driver's test data and the mobile data. The driving operation safety prediction index is used to estimate the safety level of the driver when he drives the agricultural machinery next time.

[0018] The beneficial effects of the present invention are: The present invention combines Beidou satellite positioning technology with a driving operation behavior monitoring system to collect the operation data and movement trajectory of agricultural machinery drivers in real time, thereby obtaining a driving operation safety prediction index of the agricultural machinery driver, thereby achieving a comprehensive evaluation of the actual operating ability of the agricultural machinery driver, and effectively solving the problem of incomplete evaluation of the actual operating ability of the agricultural machinery driver in the prior art.

[0019] The present invention combines the theoretical knowledge test scores, the total number of incorrect test questions, the difficulty level of incorrect test questions, the total time for answering test questions and the mapping relationship between test questions and knowledge points, so as to obtain the theoretical knowledge safety index to comprehensively analyze the driver's mastery of theoretical knowledge, thereby realizing a quantitative assessment of the theoretical knowledge safety awareness of agricultural machinery drivers and effectively identifying their weak links.

[0020] The present invention comprehensively analyzes driving operation behavior monitoring data, movement data and related influencing factors to accurately calculate the driving behavior safety index, thereby achieving a comprehensive assessment of the behavior of agricultural machinery drivers, identifying and quantifying their unsafe operations, and providing a basis for skill improvement, safety awareness improvement and safety management, effectively reducing potential risks and improving the overall operational safety level. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a structural diagram of the agricultural machinery driver operator examination equipment based on Beidou positioning in Example 1; Figure 2 This is a structural diagram of the agricultural machinery driving operator examination system based on Beidou positioning in Example 2; Figure 3 This is a flow chart of the agricultural machinery driver operator examination method based on Beidou positioning in Example 3. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0023] This embodiment solves the problem of incomplete assessment of the actual operating ability of agricultural machinery drivers and operators in the prior art by providing agricultural machinery driver and operator examination equipment, systems and methods based on Beidou positioning. It monitors the position of agricultural machinery in real time through satellite positioning and mobile data, combines driving operation behavior monitoring data and theoretical knowledge test data, and comprehensively analyzes the driving operation safety prediction index to evaluate the driver's operating safety and predict the safety of his future operations, thereby achieving a comprehensive assessment of the actual operating ability of agricultural machinery drivers and operators.

[0024] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0025] Embodiment 1: The first embodiment of the present invention provides an agricultural machinery driving operator examination device based on Beidou positioning, such as Figure 1As shown, the equipment includes: agricultural machinery driver operator examination equipment, special examination tools, paperless examination system and electronic pole test instrument; the agricultural machinery driver operator examination equipment is used to monitor the driving operation behavior of the agricultural machinery driver operator when using the special examination tools for examination; the special examination tools are used to provide a test driving environment for the agricultural machinery driver operator, including providing a real driving environment and simulating various field operation scenes; the paperless examination system is used to provide computerized support for theoretical knowledge examinations and conduct paperless computer examinations of the driver operator's theoretical knowledge; the electronic pole test instrument is used to test field driving operation skills and field operation driving operation skills, and to record and feedback the operator's driving performance in real time, including precise control, steering, parking and other aspects.

[0026] The agricultural machinery driver operator examination equipment and the like can be directly implemented by using relevant equipment, implements, systems, and pile testers in the known technology. Similarly, the remaining components of the structure not described in detail in this application can directly adopt the known technology.

[0027] Embodiment 2: Another embodiment of the present invention provides an agricultural machinery driving operator examination system based on Beidou positioning, which is applied to agricultural machinery driving operator examination equipment based on Beidou positioning, such as Figure 2 As shown, the system includes: a satellite positioning antenna, a mobile station, a satellite base station, a satellite, a driver operator test data acquisition module and an examination center platform; the satellite positioning antenna is used to calibrate the position of the agricultural machinery; the mobile station is used to measure the movement data of the satellite positioning antenna; the satellite base station is used to collect the movement data of the satellite positioning antenna on the mobile station and send the movement data to the satellite; the satellite is used to receive the movement data of the satellite base station and send the movement data to the examination center platform; the driver operator test data acquisition module is used to acquire the driver operator test data, acquire the driving operation behavior monitoring data through the agricultural machinery driver operator test equipment, acquire the theoretical knowledge test data through the paperless test system, record the driving operation behavior monitoring data and the theoretical knowledge test data as the driver operator test data, and send the driver operator test data to the examination center platform; the examination center platform is used to receive the driver operator test data, receive the movement data sent by the satellite, and also to analyze the driving operation safety prediction index according to the driver operator test data and the movement data. The driving operation safety prediction index is used to estimate the safety level of the driver operator when driving and operating the agricultural machinery next time.

[0028] The test center platform also includes: unqualified item detection module, travel trajectory identification module, alarm prompt module, and test result output module; the unqualified item detection module is used to monitor and record the safety hazards or irregular operations in the agricultural machinery test in real time, and detect the test vehicle's stalling, hitting the pole, going out of line, and the number of times the vehicle moves forward and backward; the travel trajectory identification module is used to track and identify the location and travel status of the test vehicle in real time through the Beidou positioning system, and accurately record the vehicle's movement trajectory, including whether it deviates from the predetermined route, driving speed, steering angle and other information; the alarm prompt module is used to monitor the driver's safety behavior in real time during the test. Once the system detects irregular operations or dangerous behaviors (such as stalling, collision, abnormal acceleration, etc.), it will immediately issue a warning through audio-visual prompts to remind the driver to correct them in time; the test result output module is used to output the test results and related data (such as operating errors, score scores, trajectory data, etc.) after comprehensive analysis, and provides storage and printing functions to facilitate subsequent data viewing, archiving and report generation.

[0029] The specific method of obtaining the driving operation safety prediction index is as follows: based on the theoretical knowledge test data in the driving operator test data, the theoretical knowledge safety index is analyzed, and the theoretical knowledge safety index is used to reflect the driver's mastery of the theory; based on the driving operation behavior monitoring data and mobile data in the driving operator test data, the driving behavior safety index is analyzed, and the driving behavior safety index is used to reflect the driver's mastery of driving operations; the influencing factors of the theoretical knowledge safety index and the driving behavior safety index on the driving operation safety prediction index are obtained through the objective weighting method; according to the theoretical knowledge safety index, the driving behavior safety index and the influencing factors, the driving operation safety prediction index is analyzed through the driving operation safety prediction index formula.

[0030] In this embodiment, the test center platform not only analyzes the operation behavior based on the test data of the driver and the real-time satellite positioning data, but also comprehensively obtains the driving operation safety estimation index. By analyzing the operation data and historical records of each driver, the test center platform can provide each driver with personalized safety assessment and suggestions, more accurately identify the weak links of each candidate, and help them improve their operating skills in a targeted manner.

[0031] The driving operation safety prediction index formula is as follows: ; In the formula, AHYI is the driving operation safety estimation index, e is the natural constant, LI is the theoretical knowledge safety index, JI is the driving behavior safety index, is the impact factor of LI on AHYI, is the impact factor of JI on AHYI.

[0032] For example, LI is 0.98, JI is 0.52, is 0.5, When it is 0.5, AHYI is 0.57. The higher the driving operation safety prediction index is, the safer the next driving operation will be. Conversely, the lower the driving operation safety prediction index is, the less safe the next driving operation will be.

[0033] The specific method for obtaining the theoretical knowledge safety index is as follows: extract the theoretical knowledge test scores, the total number of incorrect test questions, the difficulty level of incorrect test questions, the total time for answering test questions, and the mapping relationship between test questions and knowledge points from the theoretical knowledge test data of the driving operator test data; derive the test question knowledge point coverage based on the mapping relationship between test questions and knowledge points; obtain the influence factors of each data of the theoretical knowledge test data on the theoretical knowledge safety index through the objective weighting method; and analyze the theoretical knowledge safety index through the theoretical knowledge safety index formula based on the theoretical knowledge test data and its influencing factors.

[0034] In this embodiment, the theoretical knowledge safety index can not only provide a more comprehensive and objective theoretical knowledge evaluation result, but also identify the weak links of drivers in different knowledge points in a quantitative way, thereby providing data support for the formulation of personalized training plans. This evaluation result can effectively improve the safety operation awareness of agricultural machinery drivers, reduce the operation risks caused by insufficient theoretical knowledge, and lay a solid foundation for future practical operation safety.

[0035] The theoretical knowledge safety index formula is: ; In the formula, LI is the theoretical knowledge safety index, MG is the theoretical knowledge test score, WT is the total number of wrong test questions, is the difficulty level of the i-th wrong test question, i is the wrong test question number, , DT is the total time for answering the test questions, and NF is the coverage of the test knowledge points.

[0036] For example, MG is 92, WT is 4, is 1, is 2, is 4, When the theoretical knowledge safety index is 4, DT is 0.7h, and NF is 0.45, the LI is 0.98. The higher the theoretical knowledge safety index, the more proficient the agricultural machinery driver is in theoretical knowledge, and the safer the next time he drives the agricultural machinery. On the contrary, the lower the theoretical knowledge safety index, the less proficient the agricultural machinery driver is in theoretical knowledge, and the lower the safety the next time he drives the agricultural machinery.

[0037] The specific method for obtaining the driving behavior safety index is as follows: obtaining the driving operation behavior monitoring data, driving operation behavior monitoring auxiliary data and mobile data from the driving operator test data; extracting the agricultural machinery acceleration and agricultural machinery steering angular velocity based on the driving operation behavior monitoring data; extracting the driving path offset distance and the time of sticking to the line based on the mobile data; obtaining the weights of the agricultural machinery acceleration, agricultural machinery steering angular velocity, driving path offset distance and the time of sticking to the line for the driving safety index according to the objective weighting method; analyzing the driving behavior safety index through the driving behavior safety index formula based on the agricultural machinery acceleration, agricultural machinery steering angular velocity, driving path offset distance and the time of sticking to the line and their weights.

[0038] In this embodiment, the driving behavior safety index can provide a comprehensive driving behavior assessment, identify the driver's specific unsafe behaviors during operation, and provide guidance for the driver's skill improvement and safety awareness improvement in a digitized manner. By accurately quantifying the relationship between driving behavior and safety, it is convenient to point out the operating links that the driver needs to improve, helping him to avoid potential risks and accidents in subsequent driving. In addition, the driving behavior safety index can also provide effective data support for regulatory authorities, helping them to formulate more accurate safety management measures and improve the overall safety level of agricultural machinery driving operations.

[0039] The driving behavior safety index formula is: ; In the formula, JI is the driving behavior safety index, AN is the acceleration of agricultural machinery, is the average acceleration of the agricultural machinery, WN is the steering angular velocity of the agricultural machinery, is the average steering angular velocity of the agricultural machinery, is the driving path offset distance, is the average offset distance of the driving path, Is the duration of the line, is the average sticking time, is the weight of agricultural machinery acceleration to JI, is the weight of the agricultural machinery steering angular velocity for JI, is the weight of the driving path offset distance for JI, The weight of the sticking time for JI.

[0040] For example, AN is 1.8 , 1.4 , WN is 1.5 , 1.2 , 0.22m, 0.3m, 12min, 5min, is 0.2, is 0.2, is 0.2, When the driving behavior safety index is 0.3, the JI is 0.52. The higher the driving behavior safety index, the safer the driving behavior. Conversely, the lower the driving behavior safety index, the less safe the driving behavior.

[0041] Embodiment 3: The third embodiment of the present invention provides an agricultural machinery driving operator examination method based on Beidou positioning, which is applied to an agricultural machinery driving operator examination system based on Beidou positioning, such as Figure 3 As shown, the method includes the following steps: calibrating the position of the agricultural machinery through a satellite positioning antenna; measuring the movement data of the satellite positioning antenna through a mobile station; collecting the movement data of the satellite positioning antenna on the mobile station through a satellite base station, and sending the movement data to the satellite; receiving the movement data of the satellite base station through a satellite, and sending the movement data to the examination center platform; acquiring the driving operator test data through a driving operator test data acquisition module, acquiring the driving operation behavior monitoring data through the agricultural machinery driving operator test equipment, acquiring the theoretical knowledge test data through the paperless test system, recording the driving operation behavior monitoring data and the theoretical knowledge test data as the driving operator test data, and sending the driving operator test data to the examination center platform; receiving the driving operator test data through the examination center platform, receiving the movement data sent by the satellite, and analyzing the driving operation safety prediction index based on the driving operator test data and the movement data, and the driving operation safety prediction index is used to estimate the safety level of the driving operator when the next time he drives and operates the agricultural machinery.

[0042] In this embodiment, based on the driver's actual operating performance and historical data, the driver's safety risk in future driving operations can be predicted according to the driving operation safety prediction index. It can not only provide a scientific assessment of the driver's operating habits and potential risks, but also help training institutions, regulatory authorities and drivers themselves identify weak links in their operations, take measures in advance to adjust and improve, and thus effectively reduce safety hazards in future operations.

[0043] In summary, the embodiment of the present application combines Beidou satellite positioning technology with a driving operation behavior monitoring system to collect the operation data and movement trajectory of agricultural machinery drivers in real time, thereby deriving a driving operation safety prediction index for the agricultural machinery driver, thereby achieving a comprehensive assessment of the actual operating ability of the agricultural machinery driver.

Claims

1. The agricultural machinery driver operator examination equipment based on Beidou positioning is characterized by: include: Agricultural machinery driver and operator examination equipment, special examination tools, paperless examination system and electronic pile examination instrument; Agricultural machinery driver operator examination equipment, used to monitor the driving operation behavior of agricultural machinery drivers when taking examinations using special examination equipment; Special test equipment, used to provide a test driving environment for agricultural machinery operators; Paperless test system, used for paperless computer test of driving operator's theoretical knowledge; The electronic pole tester is used to test the site driving operation skills and field operation driving operation skills.

2. The agricultural machinery driving operator examination system based on Beidou positioning is applied to the agricultural machinery driving operator examination equipment based on Beidou positioning as claimed in claim 1, characterized in that: It includes satellite positioning antenna, mobile station, satellite base station, satellite, driver operator test data acquisition module and test center platform; Satellite positioning antenna, used to calibrate the position of agricultural machinery; Mobile station, used to measure the movement data of satellite positioning antenna; Satellite base station, used to collect the movement data of the satellite positioning antenna on the mobile station and send the movement data to the satellite; Satellite, used to receive mobile data from satellite base stations and send the mobile data to the test center platform; A driver operator test data acquisition module is used to acquire driver operator test data, acquire driver operation behavior monitoring data through agricultural machinery driver operator test equipment, acquire theoretical knowledge test data through a paperless test system, record the driver operation behavior monitoring data and theoretical knowledge test data as driver operator test data, and send the driver operator test data to the test center platform; The examination center platform is used to receive driver examination data and mobile data sent from satellites. It is also used to analyze the driving operation safety prediction index based on the driver examination data and mobile data. The driving operation safety prediction index is used to estimate the safety level of the driver when he drives agricultural machinery next time.

3. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 2, characterized in that: The test center platform also includes: unqualified item detection module, travel trajectory recognition module, alarm prompt module, and test result output module; The unqualified item detection module is used to detect the test vehicle's stalling, pole collision, line failure, and vehicle forward and backward times; A travel trajectory recognition module is used to identify the location and travel status of the test vehicle; An alarm prompt module is used to send an alarm prompt to the agricultural machinery driver through an audio-visual mode; The test result output module is used to display, store and print the test results.

4. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 2, characterized in that: The specific method of obtaining the driving operation safety estimation index is as follows: Based on the theoretical knowledge test data in the driver test data, a theoretical knowledge safety index is analyzed. The theoretical knowledge safety index is used to reflect the driver's mastery of the theory. Based on the driving operation behavior monitoring data and movement data in the driver test data, a driving behavior safety index is analyzed. The driving behavior safety index is used to reflect the driver's mastery of driving operations; The influencing factors of the theoretical knowledge safety index and driving behavior safety index on the driving operation safety prediction index were obtained through the objective weighting method. According to the theoretical knowledge safety index, driving behavior safety index and influencing factors, the driving operation safety estimation index is analyzed through the driving operation safety estimation index formula.

5. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 4, characterized in that: The driving operation safety prediction index formula is as follows: ； In the formula, AHYI is the driving operation safety estimation index, e is the natural constant, LI is the theoretical knowledge safety index, JI is the driving behavior safety index, is the impact factor of LI on AHYI, is the impact factor of JI on AHYI.

6. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 4, characterized in that: The specific method for obtaining the theoretical knowledge safety index is as follows: Extract theoretical knowledge test scores, total number of wrong test questions, difficulty level of wrong test questions, total time to answer test questions, and mapping relationship between test questions and knowledge points from theoretical knowledge test data of driving operator test data; The coverage of test questions and knowledge points is obtained based on the mapping relationship between test questions and knowledge points; Obtain the influencing factors of each data of theoretical knowledge test data on the theoretical knowledge security index through objective weighting method; According to the theoretical knowledge test data and its influencing factors, the theoretical knowledge safety index is analyzed using the theoretical knowledge safety index formula.

7. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 6, characterized in that: The theoretical knowledge safety index formula is: ； In the formula, LI is the theoretical knowledge safety index, MG is the theoretical knowledge test score, WT is the total number of wrong test questions, is the difficulty level of the i-th wrong test question, i is the wrong test question number, , DT is the total time for answering the test questions, and NF is the coverage of the test knowledge points.

8. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 4, characterized in that: The specific method for obtaining the driving behavior safety index is as follows: Acquire driving operation behavior monitoring data, driving operation behavior monitoring auxiliary data and movement data in the driving operator test data; The acceleration and steering angular velocity of agricultural machinery are extracted based on the driving operation behavior monitoring data; Extract the driving path offset distance and line-sticking time based on mobile data; The weights of agricultural machinery acceleration, agricultural machinery steering angular velocity, driving path offset distance and line-sticking time for driving safety index are obtained according to the objective weighting method; The driving behavior safety index is analyzed using the driving behavior safety index formula based on the acceleration of the agricultural machinery, the steering angular velocity of the agricultural machinery, the driving path offset distance, the line-sticking time and their weights.

9. The agricultural machinery driving operator examination system based on Beidou positioning as claimed in claim 6, characterized in that: The driving behavior safety index formula is: ； In the formula, JI is the driving behavior safety index, AN is the acceleration of agricultural machinery, is the average acceleration of the agricultural machinery, WN is the steering angular velocity of the agricultural machinery, is the average steering angular velocity of the agricultural machinery, is the driving path offset distance, is the average offset distance of the driving path, Is the duration of the line, is the average sticking time, is the weight of agricultural machinery acceleration to JI, is the weight of the agricultural machinery steering angular velocity for JI, is the weight of the driving path offset distance for JI, The weight of the sticking time for JI.

10. The agricultural machinery driving operator examination method based on Beidou positioning is applied to the agricultural machinery driving operator examination system based on Beidou positioning according to any one of claims 2 to 9, characterized in that: The following steps are involved: Calibrate the position of agricultural machinery through satellite positioning antenna; Measuring the movement data of satellite positioning antennas through mobile stations; The mobile data of the satellite positioning antenna on the mobile station is collected through the satellite base station and the mobile data is sent to the satellite; Receive mobile data from satellite base stations via satellite and send the mobile data to the test center platform; The driver test data is obtained through the driver test data acquisition module, the driver operation behavior monitoring data is obtained through the agricultural machinery driver test equipment, and the theoretical knowledge test data is obtained through the paperless test system. The driver operation behavior monitoring data and the theoretical knowledge test data are recorded as the driver test data, and the driver test data is sent to the test center platform; The test center platform receives the driver's test data and the mobile data sent from the satellite, and also analyzes the driving operation safety prediction index based on the driver's test data and the mobile data. The driving operation safety prediction index is used to estimate the safety level of the driver when he drives the agricultural machinery next time.

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