A visual analysis system and method for interference data based on Beidou satellite positioning

Abstract

The invention discloses a visualization analysis system and method for interference data based on Beidou satellite positioning, and relates to the technical field of anti-interference data management. The invention utilizes a signal display to visualize satellite signals before and after being processed by a corresponding anti-interference algorithm inside a Beidou receiver, and by comparing the difference in visualization images, a simple data-level calculation of the anti-interference effect value of the corresponding anti-interference algorithm inside the Beidou receiver is realized; the invention combs and monitors the numerical deviation of the anti-interference effect value presented by the Beidou receiver within a unit period and the error frequency distribution of the target positioning data, so as to realize the anti-interference performance evaluation of the Beidou GNSS receiver, effectively improve the algorithm optimization efficiency of the GNSS receiver, and provide scientific data-assisted guidance for the algorithm optimization of the GNSS receiver.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-interference data management, and in particular to an interference data visualization analysis system and method based on Beidou satellite positioning. Background Art

[0002] Beidou calibration technology is a calibration technology based on satellite navigation signals. By receiving and processing satellite signals, accurate calibration of receiving equipment is achieved. This technology can be widely used in satellite navigation systems, including the Beidou satellite navigation system and other satellite navigation systems.

[0003] GNSS receivers are key devices for receiving and processing satellite signals. Their performance directly affects the accuracy of navigation and positioning. Therefore, positioning accuracy is one of the important performance indicators of GNSS receivers. The anti-interference algorithm of the receiver determines its signal reception sensitivity and anti-interference performance.

[0004] In practical applications, GNSS receivers are often affected by multipath effects and various interferences, resulting in inaccurate positioning results. Therefore, by continuously optimizing the anti-interference algorithm, Beidou GNSS receivers can effectively handle the above-mentioned interference in various complex environments, provide high-precision, high-reliability and fast-response positioning services, and meet the needs of different application scenarios. Summary of the invention

[0005] The purpose of the present invention is to provide an interference data visualization analysis system and method based on Beidou satellite positioning to solve the problems raised in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for visualizing and analyzing interference data based on Beidou satellite positioning, the method comprising:

[0007] Step S1: Whenever the Beidou GNSS receiver detects a satellite signal sent from the Beidou navigation satellite system, the satellite signal is visualized on a signal display before and after being processed by the corresponding anti-interference algorithm inside the Beidou receiver;

[0008] Step S2: evaluating and calculating the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record according to the difference distribution of the corresponding visual display image obtained in each historical satellite signal reception record;

[0009] Step S3: At each unit time interval, all historical satellite signal reception records generated within the unit period are collected from the Beidou GNSS receiver; the numerical deviation of the anti-interference effect value and the error frequency distribution of the target positioning data solved by the Beidou GNSS receiver are sorted out, and the anti-interference effect index presented by the Beidou GNSS receiver in each unit period is calculated;

[0010] Step S4: monitor the change of the function curve generated by substituting the anti-interference effect index obtained by evaluating the newly added unit period into the curve fitting, and determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal;

[0011] Step S5: While determining that it is necessary to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal, sort out the phenomenon that the Beidou GNSS receiver exhibits different anti-interference effects on similar interference data, and synchronously push reference data that can assist the Beidou GNSS receiver in algorithm optimization.

[0012] Preferably, step S2 comprises:

[0013] Step S2-1: extracting each historical satellite signal reception record generated by the Beidou GNSS receiver, and setting the visual display images of the corresponding satellite signal before and after being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver through a signal display as the first feature image and the second feature image respectively;

[0014] Step S2-2: Obtain the similarity value β between the corresponding first feature image and the second feature image in each historical satellite signal reception record in the numerical range [0,1], and calculate the anti-interference effect value α=1-β presented by the Beidou GNSS receiver in each historical satellite signal reception record.

[0015] The visual display image of the corresponding satellite signal obtained by the signal display before being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver is often a satellite signal image superimposed with interference information, while the visual display image obtained after being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver is often a satellite signal image with certain interference information filtered out; therefore, if the similarity β between the visual display images of the satellite signal before and after being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver is greater, that is, the anti-interference effect value α=1-β is smaller, this is often because there is less superimposed interference information or because the anti-interference algorithm inside the Beidou GNSS receiver has a lower effective removal effect on the current superimposed interference information.

[0016] Beidou GNSS receiver anti-interference algorithms mainly include the following technologies: Array signal processing: By reasonably arranging the antenna array, spatial filtering of interference signals is achieved to reduce the impact of interference signals on useful signals. Specific methods include power inversion algorithm, space-time joint processing method, etc. Frequency diversity technology: By expanding the signal bandwidth or using multiple frequencies, the impact of interference signals on a single frequency is reduced, and the anti-interference ability of the system is improved; Time diversity technology: By changing the transmission time or reception time of the signal, it is avoided to overlap with the interference signal in the same time window, thereby reducing interference.

[0017] ‌Adaptive filtering‌: Adaptive filtering technology is used to pre-process and post-process the received signal to improve the signal's anti-interference ability‌; ‌Blind signal processing‌: The received signal is processed through blind signal processing technology to further improve the signal's anti-interference ability.

[0018] Preferably: step S3 comprises:

[0019] Step S3-1: In each unit period, the historical satellite signal reception records of the corresponding target positioning data obtained after being solved by the Beidou GNSS receiver are verified to be non-existent and erroneous, and are correspondingly set as the first target record and the second target record of each unit period;

[0020] Step S3-2: Accumulate the total number of first target records M1 and the total number of second target records M2 in each unit period; respectively capture the maximum anti-interference effect value α presented by the Beidou GNSS receiver in each unit period max and the minimum anti-interference effect value α min , calculate the anti-interference effect index P of Beidou GNSS receiver in each unit cycle = (α max -α min ) / [M2 / (M1+M2)];

[0021] Among them, the larger the value of M2 / (M1+M2), the lower the accuracy of the target positioning data obtained by the Beidou GNSS receiver based on the satellite signal in the unit period. max -α min The larger the value of , the more diverse the interference data the Beidou GNSS receiver is exposed to within the unit period, and the corresponding interference removal scenario is also more complex and difficult; the larger the value of P, the better the anti-interference effect of the Beidou GNSS receiver within the unit period.

[0022] Preferably, step S4 comprises:

[0023] Step S4-1: Taking the period number corresponding to the unit period as x and the anti-interference effect index corresponding to each unit period as y, respectively obtain the data group corresponding to each unit period and bring it into curve fitting;

[0024] Step S4-2: When the anti-interference effect exponential change curve y=Kx+b obtained by curve fitting the newly added data group of the i-th unit period with the data group of the previous i-1 unit period in order is captured, and K<0 is satisfied, the management terminal is prompted to optimize the algorithm of the Beidou GNSS receiver; wherein K is the slope and b is a constant.

[0025] Preferably, step S5 comprises:

[0026] Step S5-1: Collect all first target records and all second target records collected up to the i-th unit period to obtain sets W1 and W2; classify all first target records in set W1 according to the anti-interference effect value intervals in which the corresponding anti-interference effect values ​​are located; wherein, the anti-interference effect value intervals corresponding to different level order values ​​have a larger level order value corresponding to a larger anti-interference effect value;

[0027] Step S5-2: sequentially extracting interference data identified and excluded by the Beidou GNSS receiver from all historical satellite signal reception records collected up to the i-th unit period;

[0028] Step S5-3: If a second target record is captured in the set W2, and the similarity between the corresponding interference data and a first target record corresponding to a certain level order value in the set W1 is less than the similarity threshold, and the deviation value between the corresponding anti-interference effect values ​​is greater than the deviation threshold, then the second target record is feature-marked, and the relevant data of all the second target records containing the feature mark are synchronously pushed to the management terminal;

[0029] The interference data existing in the above-mentioned second target record marked as a feature are interference data that have certain similarities and differences with the interference data that can be correctly identified by the Beidou GNSS receiver. It is not ruled out that the interference data is specially designed to avoid the anti-interference range of the GNSS receiver. Therefore, the above-mentioned interference data can be regarded as the "new blind spot" that appears in the GNSS receiver as the applicable scenario changes. Therefore, when performing corresponding algorithm optimization on the GNSS receiver, it can be used as a reference for debugging data to effectively improve the algorithm optimization efficiency of the GNSS receiver.

[0030] In order to better implement the above method, a visual analysis system for interference data is also proposed, which includes: data visualization management module, anti-interference effect evaluation management module, anti-interference effect index calculation module, anti-interference optimization early warning prompt module, and optimization auxiliary data recognition module;

[0031] The data visualization management module is used to visualize the satellite signals before and after they are processed by the corresponding anti-interference algorithm in the Beidou receiver through the signal display whenever the Beidou GNSS receiver detects a satellite signal sent from the Beidou navigation satellite system;

[0032] The anti-interference effect evaluation management module is used to evaluate and calculate the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record according to the difference distribution of the corresponding visual display image obtained in each historical satellite signal reception record;

[0033] The anti-interference effect index calculation module is used to collect all historical satellite signal reception records generated in a unit period from the Beidou GNSS receiver at each unit time interval; sort out the numerical deviation of the anti-interference effect value and the error frequency distribution of the Beidou GNSS receiver in solving the target positioning data, and calculate the anti-interference effect index presented by the Beidou GNSS receiver in each unit period;

[0034] The anti-interference optimization early warning prompt module is used to monitor the change of the function curve generated by substituting the anti-interference effect index obtained by evaluating the newly added unit period into the curve fitting, and determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal;

[0035] The auxiliary data identification module is optimized to determine the need to send an early warning prompt to the management terminal based on the algorithm optimization of the Beidou GNSS receiver. It also sorts out the phenomenon that the Beidou GNSS receiver exhibits different anti-interference effects on similar interference data, and synchronously pushes reference data that can assist the Beidou GNSS receiver in algorithm optimization.

[0036] Preferably, the anti-interference effect evaluation management module includes a visual display image analysis unit and an anti-interference effect value calculation unit;

[0037] A visual display image analysis unit, used to sort out the difference distribution of the visual display images correspondingly obtained in each historical satellite signal reception record;

[0038] The anti-interference effect value calculation unit is used to evaluate and calculate the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record.

[0039] Preferably, the anti-interference optimization early warning prompt module includes a curve fitting management unit and an early warning prompt management unit;

[0040] A curve fitting management unit is used to monitor the change of the function curve generated after the anti-interference effect index obtained by evaluating the newly added unit period is substituted into the curve fitting;

[0041] The early warning prompt management unit is used to determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal according to the anti-interference effect index change curve.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention utilizes a signal display to visualize satellite signals before and after being processed by the corresponding anti-interference algorithm inside the Beidou receiver, and by comparing the differences in the visualized images, a simple data-level calculation of the anti-interference effect value of the corresponding anti-interference algorithm inside the Beidou receiver is achieved; the present invention combs through and monitors the numerical deviation of the anti-interference effect value presented by the Beidou receiver within a unit period and the error frequency distribution of the target positioning data, thereby achieving the anti-interference performance evaluation of the Beidou GNSS receiver, effectively improving the algorithm optimization efficiency of the GNSS receiver, and providing scientific data-assisted guidance for algorithm optimization of the GNSS receiver. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of a flow chart of a method for visualizing and analyzing interference data based on Beidou satellite positioning according to the present invention;

[0044] Figure 2 The present invention is a structural schematic diagram of an interference data visualization analysis system based on Beidou satellite positioning. DETAILED DESCRIPTION

[0045] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0046] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution, a method for visualizing and analyzing interference data based on Beidou satellite positioning, the method comprising:

[0047] Step S1: Whenever the Beidou GNSS receiver detects a satellite signal sent from the Beidou navigation satellite system, the satellite signal is visualized on a signal display before and after being processed by the corresponding anti-interference algorithm inside the Beidou receiver;

[0048] Step S2: evaluating and calculating the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record according to the difference distribution of the corresponding visual display image obtained in each historical satellite signal reception record;

[0049] Wherein, step S2 comprises:

[0050] Step S2-1: extracting each historical satellite signal reception record generated by the Beidou GNSS receiver, and setting the visual display images of the corresponding satellite signal before and after being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver through a signal display as the first feature image and the second feature image respectively;

[0051] Step S2-2: obtaining a similarity value β between the corresponding first feature image and the second feature image in the numerical range [0,1] in each historical satellite signal reception record, and calculating the anti-interference effect value α=1-β presented by the Beidou GNSS receiver in each historical satellite signal reception record;

[0052] Step S3: At each unit time interval, all historical satellite signal reception records generated within the unit period are collected from the Beidou GNSS receiver; the numerical deviation of the anti-interference effect value and the error frequency distribution of the target positioning data solved by the Beidou GNSS receiver are sorted out, and the anti-interference effect index presented by the Beidou GNSS receiver in each unit period is calculated;

[0053] Wherein, step S3 comprises:

[0054] Step S3-1: In each unit period, the historical satellite signal reception records of the corresponding target positioning data obtained after being solved by the Beidou GNSS receiver are verified to be non-existent and erroneous, and are correspondingly set as the first target record and the second target record of each unit period;

[0055] Step S3-2: Accumulate the total number of first target records M1 and the total number of second target records M2 in each unit period; respectively capture the maximum anti-interference effect value α presented by the Beidou GNSS receiver in each unit period max and the minimum anti-interference effect value α min , calculate the anti-interference effect index P of Beidou GNSS receiver in each unit cycle = (α max -α min ) / [M2 / (M1+M2)];

[0056] Step S4: monitor the change of the function curve generated by substituting the anti-interference effect index obtained by evaluating the newly added unit period into the curve fitting, and determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal;

[0057] Wherein, step S4 comprises:

[0058] Step S4-1: Taking the period number corresponding to the unit period as x and the anti-interference effect index corresponding to each unit period as y, respectively obtain the data group corresponding to each unit period and bring it into curve fitting;

[0059] Step S4-2: When the anti-interference effect index change curve y=Kx+b obtained by curve fitting the newly added i-th unit period data group with the previous i-1 unit period data group in order is captured, and when K<0 is satisfied, the management terminal is prompted to optimize the algorithm of the Beidou GNSS receiver; wherein K is the slope and b is a constant;

[0060] For example, after curve fitting is performed on the data groups corresponding to the 1st, 2nd and 3rd unit periods in sequence, the anti-interference effect index change curve generated is y=1.3x+0.8, after curve fitting is performed on the data groups corresponding to the 1st, 2nd, 3rd, 4th, 5th and 6th unit periods in sequence, the anti-interference effect index change curve generated is y=0.6x+0.14, and after curve fitting is performed on the data groups corresponding to the 1st, 2nd, 3rd, 4th, 5th, 6th and 7th unit periods in sequence, the anti-interference effect index change curve generated is y=-0.1x+0.3. When K<0 is currently satisfied, the management terminal is prompted to optimize the Beidou GNSS receiver algorithm;

[0061] Step S5: while judging that an early warning prompt based on the optimization of the Beidou GNSS receiver algorithm needs to be sent to the management terminal, the phenomenon that the Beidou GNSS receiver exhibits different anti-interference effects on similar interference data is sorted out, and reference data that can assist the Beidou GNSS receiver in optimizing the algorithm is synchronously pushed;

[0062] Wherein, step S5 comprises:

[0063] Step S5-1: Collect all first target records and all second target records collected up to the i-th unit period to obtain sets W1 and W2; classify all first target records in set W1 according to the anti-interference effect value intervals in which the corresponding anti-interference effect values ​​are located; wherein, the anti-interference effect value intervals corresponding to different level order values ​​have a larger level order value corresponding to a larger anti-interference effect value;

[0064] As described above, if the anti-interference effect index change curve generated after curve fitting the data groups corresponding to the 1st, 2nd, 3rd, 4th, 5th, and 6th unit periods in sequence is y=0.6x+0.14, and the anti-interference effect index change curve generated after curve fitting the data groups corresponding to the 1st, 2nd, 3rd, 4th, 5th, 6th, and 7th unit periods in sequence is y=-0.1x+0.3, then it is determined that all the first target records and all the second target records collected up to the 7th unit period need to be collected separately. In this application, the end of the unit period refers to all the first target records and all the second target records collected in the 7th unit period;

[0065] Step S5-2: sequentially extracting interference data identified and excluded by the Beidou GNSS receiver from all historical satellite signal reception records collected up to the i-th unit period;

[0066] Step S5-3: If a second target record is captured in the set W2, and the similarity between the corresponding interference data and a first target record corresponding to a level rank value in the set W1 is less than the similarity threshold, and the deviation value between the corresponding anti-interference effect values ​​is greater than the deviation threshold, then the second target record is feature-marked, and the relevant data of all second target records containing the feature mark are synchronously pushed to the management terminal.

[0067] In order to better implement the above method, a visual analysis system for interference data is also proposed, which includes: data visualization management module, anti-interference effect evaluation management module, anti-interference effect index calculation module, anti-interference optimization early warning prompt module, and optimization auxiliary data recognition module;

[0068] The data visualization management module is used to visualize the satellite signals before and after they are processed by the corresponding anti-interference algorithm in the Beidou receiver through the signal display whenever the Beidou GNSS receiver detects a satellite signal sent from the Beidou navigation satellite system;

[0069] The anti-interference effect evaluation management module is used to evaluate and calculate the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record according to the difference distribution of the corresponding visual display image obtained in each historical satellite signal reception record;

[0070] Among them, the anti-interference effect evaluation management module includes a visual display image analysis unit and an anti-interference effect value calculation unit;

[0071] A visual display image analysis unit, used to sort out the difference distribution of the visual display images correspondingly obtained in each historical satellite signal reception record;

[0072] An anti-interference effect value calculation unit is used to evaluate and calculate the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record;

[0073] The anti-interference effect index calculation module is used to collect all historical satellite signal reception records generated in a unit period from the Beidou GNSS receiver at each unit time interval; sort out the numerical deviation of the anti-interference effect value and the error frequency distribution of the Beidou GNSS receiver in solving the target positioning data, and calculate the anti-interference effect index presented by the Beidou GNSS receiver in each unit period;

[0074] The anti-interference optimization early warning prompt module is used to monitor the change of the function curve generated by substituting the anti-interference effect index obtained by evaluating the newly added unit period into the curve fitting, and determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal;

[0075] Among them, the anti-interference optimization early warning prompt module includes a curve fitting management unit and an early warning prompt management unit;

[0076] A curve fitting management unit is used to monitor the change of the function curve generated after the anti-interference effect index obtained by evaluating the newly added unit period is substituted into the curve fitting;

[0077] The early warning prompt management unit is used to determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal according to the anti-interference effect index change curve.

[0078] The auxiliary data identification module is optimized to determine the need to send an early warning prompt to the management terminal based on the algorithm optimization of the Beidou GNSS receiver. It also sorts out the phenomenon that the Beidou GNSS receiver exhibits different anti-interference effects on similar interference data, and synchronously pushes reference data that can assist the Beidou GNSS receiver in algorithm optimization.

[0079] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A visualization analysis method for interference data based on Beidou satellite positioning, characterized in that: The method comprises: Step S1: Whenever the Beidou GNSS receiver detects a satellite signal sent from the Beidou navigation satellite system, the satellite signal is displayed as a visual image before and after being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver through a signal display; Step S2: evaluating and calculating the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record according to the difference distribution of the corresponding visual display image obtained in each historical satellite signal reception record; Step S3: At each unit time interval, all historical satellite signal reception records generated within the unit period are collected from the Beidou GNSS receiver; the numerical deviation of the anti-interference effect value and the error frequency distribution of the target positioning data solved by the Beidou GNSS receiver are sorted out, and the anti-interference effect index presented by the Beidou GNSS receiver in each unit period is calculated; Step S4: monitor the change of the function curve generated by substituting the anti-interference effect index obtained by evaluating the newly added unit period into the curve fitting, and determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal; Step S5: While determining that it is necessary to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal, sort out the phenomenon that the Beidou GNSS receiver exhibits different anti-interference effects on similar interference data, and synchronously push reference data that can assist the Beidou GNSS receiver in algorithm optimization.

2. The interference data visualization analysis method based on Beidou satellite positioning according to claim 1 is characterized in that: The step S2 comprises: Step S2-1: extracting each historical satellite signal reception record generated by the Beidou GNSS receiver, and setting the visual display images of the corresponding satellite signal before and after being processed by the corresponding anti-interference algorithm inside the Beidou GNSS receiver through a signal display as the first feature image and the second feature image respectively; Step S2-2: Obtain a similarity value β between the corresponding first feature image and the second feature image in the numerical range [0,1] in each historical satellite signal reception record, and calculate the anti-interference effect value α=1-β presented by the Beidou GNSS receiver in each historical satellite signal reception record.

3. The interference data visualization analysis method based on Beidou satellite positioning according to claim 2 is characterized in that: The step S3 comprises: Step S3-1: In each unit period, the historical satellite signal reception records of the corresponding target positioning data obtained after being solved by the Beidou GNSS receiver and verified as non-existent and erroneous are set as the first target record and the second target record of each unit period; Step S3-2: Accumulate the total number of first target records M1 and the total number of second target records M2 in each unit period; respectively capture the maximum anti-interference effect value α presented by the Beidou GNSS receiver in each unit period max and the minimum anti-interference effect value α min , calculate the anti-interference effect index P of Beidou GNSS receiver in each unit cycle = (α max -α min ) / [M2 / (M1+M2)].

4. The interference data visualization analysis method based on Beidou satellite positioning according to claim 3 is characterized in that: The step S4 comprises: Step S4-1: Taking the period number corresponding to the unit period as x and the anti-interference effect index corresponding to each unit period as y, respectively obtain the data group corresponding to each unit period and bring it into curve fitting; Step S4-2: When the anti-interference effect exponential change curve y=Kx+b obtained by curve fitting the newly added data group of the i-th unit period with the data group of the previous i-1 unit period in order is captured, and K<0 is satisfied, the management terminal is prompted to optimize the algorithm of the Beidou GNSS receiver; wherein K is the slope and b is a constant.

5. The interference data visualization analysis method based on Beidou satellite positioning according to claim 4 is characterized in that: The step S5 comprises: Step S5-1: Collect all first target records and all second target records collected up to the i-th unit period to obtain sets W1 and W2; classify all first target records in set W1 according to the anti-interference effect value intervals in which the corresponding anti-interference effect values ​​are located; wherein, the anti-interference effect value intervals corresponding to different level order values ​​have a larger level order value corresponding to a larger anti-interference effect value; Step S5-2: sequentially extracting interference data identified and excluded by the Beidou GNSS receiver from all historical satellite signal reception records collected up to the i-th unit period; Step S5-3: If a second target record is captured in the set W2, and the similarity between the corresponding interference data and a first target record corresponding to a certain level order value in the set W1 satisfies that the similarity is less than the similarity threshold, and the deviation value between the corresponding anti-interference effect values ​​is greater than the deviation threshold, then the second target record is feature-marked, and the relevant data of all second target records containing the feature mark are synchronously pushed to the management terminal.

6. An interference data visualization analysis system, used to execute the interference data visualization analysis method based on Beidou satellite positioning according to any one of claims 1 to 5, characterized in that: The system includes: a data visualization management module, an anti-interference effect evaluation management module, an anti-interference effect index calculation module, an anti-interference optimization early warning prompt module, and an optimization auxiliary data recognition module; The data visualization management module is used to visualize the satellite signals before and after being processed by the corresponding anti-interference algorithm in the Beidou GNSS receiver through the signal display whenever the Beidou GNSS receiver detects a satellite signal sent from the Beidou navigation satellite system; The anti-interference effect evaluation management module is used to evaluate and calculate the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record according to the difference distribution of the corresponding visual display image obtained in each historical satellite signal reception record; The anti-interference effect index calculation module is used to collect all historical satellite signal reception records generated in a unit period from the Beidou GNSS receiver at each unit time interval; sort out the numerical deviation of the anti-interference effect value and the error frequency distribution of the Beidou GNSS receiver in solving the target positioning data, and calculate the anti-interference effect index presented by the Beidou GNSS receiver in each unit period; The anti-interference optimization early warning prompt module is used to monitor the change of the function curve generated after the anti-interference effect index obtained by evaluating the newly added unit period is substituted into the curve fitting, and determine whether to send an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver to the management terminal; The optimized auxiliary data identification module is used to, while judging that an early warning prompt based on the algorithm optimization of the Beidou GNSS receiver needs to be sent to the management terminal, sort out the phenomenon that the Beidou GNSS receiver presents different anti-interference effects on similar interference data, and synchronously push reference data that can assist the Beidou GNSS receiver in algorithm optimization.

7. The interference data visualization analysis system according to claim 6, characterized in that: The anti-interference effect evaluation management module includes a visual display image analysis unit and an anti-interference effect value calculation unit; The visual display image analysis unit is used to sort out the difference distribution of the visual display images correspondingly obtained in each historical satellite signal reception record; The anti-interference effect value calculation unit is used to evaluate and calculate the anti-interference effect value presented by the Beidou GNSS receiver in each historical satellite signal reception record.

8. The interference data visualization analysis system according to claim 6, characterized in that: The anti-interference optimization early warning prompt module includes a curve fitting management unit and an early warning prompt management unit; The curve fitting management unit is used to monitor the change of the function curve generated after the anti-interference effect index obtained by evaluating the newly added unit period is substituted into the curve fitting; The early warning prompt management unit is used to determine whether to send an early warning prompt based on algorithm optimization of the Beidou GNSS receiver to the management terminal according to the anti-interference effect index change curve.

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