A navigation equipment active electromagnetic environment assessment system and assessment method thereof

Abstract

The present invention discloses a navigation equipment active electromagnetic environment assessment system and an assessment method thereof, which specifically include: an electromagnetic environment data acquisition module: extracting the navigation equipment active electromagnetic environment data from historical data, and sorting them out to obtain an active electromagnetic environment data set; an electromagnetic environment stability assessment module: based on the acquired active electromagnetic environment data set, analyzing the active electromagnetic environment data set to assess the stability of the active electromagnetic environment. Dynamically adjust the assessment strategy, reduce unnecessary frequent assessments, improve the assessment efficiency, extend the assessment cycle when the electromagnetic environment is stable, effectively reduce the waste of human, material and time resources, optimize resource utilization, and when the electromagnetic environment is unstable, intelligently select the assessment interval according to historical data, thereby being able to respond to environmental changes, improve flexibility and adaptability, comprehensively consider the stability of the electromagnetic environment and historical data, and improve the accuracy of the assessment results.

Description

Technical Field

[0001] The present invention relates to the technical field of active electromagnetic environment assessment, and in particular to an active electromagnetic environment assessment system for navigation equipment and an assessment method thereof. Background Art

[0002] The active electromagnetic environment of navigation equipment refers to the sum of various active factors that generate electromagnetic interference to navigation equipment. These interferences may come from other radio equipment, high-voltage transmission lines, electrified railways, industrial equipment, scientific equipment and medical equipment, etc. These factors form a complex electromagnetic field around the navigation equipment, which may have an adverse effect on the reception and transmission of navigation signals.

[0003] The active electromagnetic environment of navigation equipment changes dynamically, so the dynamic variability of the electromagnetic environment also needs to be considered during the assessment. These changes may affect the performance of the navigation equipment, so it is necessary to re-evaluate the active electromagnetic environment of the navigation equipment regularly. However, the current assessment uses a fixed assessment cycle, which does not fully consider the dynamic variability of the electromagnetic environment. Regardless of whether the electromagnetic environment is stable, the assessment is performed at established time intervals, which reduces the assessment efficiency and makes it difficult to adapt to the complex and changing electromagnetic environment. Summary of the invention

[0004] The object of the present invention is to provide a navigation device active electromagnetic environment assessment system and an assessment method thereof, so as to solve at least one of the above-mentioned prior art problems.

[0005] In a first aspect, the present invention provides a navigation device active electromagnetic environment assessment system, specifically comprising:

[0006] Electromagnetic environment data acquisition module: extracts active electromagnetic environment data of navigation equipment from historical data, organizes it, and obtains active electromagnetic environment data set;

[0007] Electromagnetic environment stability assessment module: Based on the acquired active electromagnetic environment data set, the active electromagnetic environment data set is analyzed to assess the stability of the active electromagnetic environment;

[0008] The stability assessment of the active electromagnetic environment includes generating an active electromagnetic environment stable signal and generating an active electromagnetic environment unstable signal;

[0009] Dynamic assessment management module: Based on the stability assessment results of the active electromagnetic environment, the assessment strategy of the active electromagnetic environment is adjusted, including the stability active electromagnetic environment management submodule and the instability active electromagnetic environment management submodule;

[0010] Among them, the stability active electromagnetic environment management submodule: based on the generated active electromagnetic environment stability signal, analyzes the integration judgment value of the time point to be integrated in the integration period within the historical period, and adjusts the interval period of regular evaluation;

[0011] Unstable active electromagnetic environment management submodule: Based on the generated active electromagnetic environment unstable signal, the time length value of the integrated period in the historical period is analyzed and the interval period of regular evaluation is adjusted.

[0012] In a second aspect, the present invention provides a method for evaluating the active electromagnetic environment of a navigation device, the method specifically comprising the following steps:

[0013] Step 1: Extract the active electromagnetic environment data of navigation equipment from the historical data, organize it, and obtain the active electromagnetic environment data set;

[0014] Step 2: Based on the acquired active electromagnetic environment data set, analyze the active electromagnetic environment data set to evaluate the stability of the active electromagnetic environment;

[0015] The stability assessment of the active electromagnetic environment includes generating an active electromagnetic environment stable signal and generating an active electromagnetic environment unstable signal;

[0016] Step 3: Based on the stability assessment results of the active electromagnetic environment, adjust the assessment strategy of the active electromagnetic environment, including:

[0017] Based on the generated active electromagnetic environment stability signal, the integrated judgment value of the time point to be integrated in the integration period within the historical period is analyzed, and the interval period of regular evaluation is adjusted;

[0018] Based on the generated active electromagnetic environment unstable signal, the time length value of the integration period in the historical period is analyzed and the interval period of regular evaluation is adjusted.

[0019] Beneficial effects of the present invention:

[0020] 1. The present invention can more accurately evaluate the stability of the active electromagnetic environment of the navigation equipment by comprehensively considering the historical data of the electric field strength and the magnetic field strength, as well as their changing trends and discreteness. The stable signal or unstable signal generated by the system can guide the management strategy for subsequent dynamic evaluation and improve management efficiency;

[0021] 2. The present invention reduces unnecessary frequent evaluations and improves evaluation efficiency by dynamically adjusting the evaluation strategy. It extends the evaluation period when the electromagnetic environment is stable, effectively reduces the waste of manpower, material resources and time resources, and optimizes resource utilization. When the electromagnetic environment is unstable, the evaluation interval is intelligently selected according to historical data, thereby being able to respond to environmental changes, improve flexibility and adaptability, and comprehensively consider the stability of the electromagnetic environment and historical data to improve the accuracy of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a flow chart of a method for evaluating active electromagnetic environment of navigation equipment of the present invention;

[0024] Figure 2 It is a structural schematic diagram of an active electromagnetic environment assessment system for navigation equipment of the present invention;

[0025] Figure 3 It is a structural schematic diagram of an active electromagnetic environment assessment device for navigation equipment of the present invention.

[0026] In the figure: 3, computer device; 301, processor; 302, memory; 303, computer program; DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0028] Figure 1A flowchart of a navigation device active electromagnetic environment assessment method provided in the first embodiment of the present invention. The embodiment of the present invention can be applied to the dynamic assessment of the electromagnetic environment. The navigation device active electromagnetic environment assessment method can be executed by a navigation device active electromagnetic environment assessment system. The navigation device active electromagnetic environment assessment system can be implemented by software and / or hardware. The navigation device active electromagnetic environment assessment system can be configured in a navigation device active electromagnetic environment assessment device. Optionally, a navigation device active electromagnetic environment assessment device can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc., and the embodiment of the present invention does not limit this. Example

[0029] like Figure 2 As shown, an active electromagnetic environment assessment system for navigation equipment provided by an embodiment of the present invention specifically includes:

[0030] Electromagnetic environment data acquisition module: extracts active electromagnetic environment data of navigation equipment from historical data, organizes it, and obtains active electromagnetic environment data set;

[0031] In some embodiments, active electromagnetic environment data of the navigation device in a historical period is extracted, wherein the active electromagnetic environment data includes electric field strength data and magnetic field strength data;

[0032] The electric field strength is usually measured using an electric field sensor or an electric field meter, and the magnetic field strength is usually measured using a magnetic field sensor or a magnetometer, including but not limited to: a Tesla meter and a flux meter;

[0033] It should be noted that the extraction of historical time periods is based on a period of time traced back from the current time. The specific length can be determined and set according to actual needs, such as the past six months or one month;

[0034] The historical period is divided into several time points, the electric field strength value at each time point is compared with the standard value of the electric field strength to obtain the electric field strength ratio, the magnetic field strength value is compared with the standard value of the magnetic field strength to obtain the magnetic field strength ratio, and the electric field strength ratio and the magnetic field strength ratio are weighted and summed to obtain the electromagnetic environment characterization value;

[0035] It should be noted that before calculating the electromagnetic environment characterization value, the electric field strength data and the magnetic field strength data need to be preprocessed, including but not limited to: removing extreme outliers and enhancing robustness and stability;

[0036] Among them, the standard value of electric field strength and the standard value of magnetic field strength are set by practitioners in this field based on analysis and evaluation of acquired data;

[0037] Arrange the electromagnetic environment characterization values ​​in chronological order to obtain an active electromagnetic environment data set;

[0038] Electromagnetic environment stability assessment module: Based on the acquired active electromagnetic environment data set, the active electromagnetic environment data set is analyzed to assess the stability of the active electromagnetic environment;

[0039] The stability assessment of the active electromagnetic environment includes generating an active electromagnetic environment stable signal and generating an active electromagnetic environment unstable signal;

[0040] In some embodiments, based on the acquired active electromagnetic environment data set, the start time point of the historical period is taken as the starting time point, a time point after the starting time point is acquired, and these two time points are taken as the analysis interval, and the analysis interval is used to traverse the time points backward for integration;

[0041] It should be noted that if the next time point of the analysis interval meets the integration judgment condition, the time point can be integrated with the analysis interval to form a new analysis interval (that is, the new analysis interval is the analysis interval of the next integration);

[0042] Based on the analysis interval, the next time point after the analysis interval is marked as the time point to be integrated, and the integration judgment is performed on the time point to be integrated, and the integration judgment value is calculated. The specific process is as follows:

[0043] Calculate the average value of the analysis interval, mark it as the median value of the initial data set, calculate the standard deviation of the electromagnetic environment characterization value data in the analysis interval, mark it as the initial data standard deviation, calculate the absolute value of the difference between the electromagnetic environment characterization values ​​at adjacent time points in the analysis interval, mark it as the initial data deviation value;

[0044] Calculate the average value of the electromagnetic environment characterization value data at each time point in the analysis interval and the time point to be integrated, and perform difference calculation with the median value of the initial data set, take the absolute value of the difference, and obtain the change value of the data set;

[0045] Calculate the standard deviation of the electromagnetic environment characterization value data at each time point in the analysis interval and the time point to be integrated, and perform difference calculation with the initial data standard deviation, take the absolute value of the difference, and obtain the discrete change value of the data;

[0046] Calculate the absolute value of the difference between the electromagnetic environment characterization value at the time point to be integrated and the electromagnetic environment characterization value at the last time point in the analysis interval, perform difference calculation with the initial data change value, take the absolute value of the difference, and obtain the data change value;

[0047] Substitute into the formula , calculate the integrated judgment value ZH, where JZ is the data set change value, LS is the data discrete change value, PCX represents the data change value, is the average value of the initial data deviation between all adjacent time points in the analysis interval, N is the number of time periods between adjacent time points, i is the time period between the i-th adjacent time points in the analysis interval, is the initial data deviation value between the i-th adjacent time points in the analysis interval, a1, a2, and a2 are preset proportional coefficients, the value of a1 is 0.31, the value of a2 is 0.36, and the value of a3 is 0.33;

[0048] The above integrated judgment value ZH is normalized during the calculation process, and the normalization method is a method known and implementable by practitioners in the art;

[0049] Setting an integration judgment threshold, and comparing the integration judgment value with the integration judgment threshold, wherein the integration judgment threshold is set by a person skilled in the art based on data characteristics and experience;

[0050] If the integration judgment value is greater than the integration judgment threshold, an integration signal is generated, and the corresponding time point to be integrated is integrated into the analysis interval to form a new analysis interval, which is the analysis interval for the next integration judgment;

[0051] If the integration judgment value is less than or equal to the integration judgment threshold, a non-integration signal is generated, that is, the integration is stopped, and the corresponding analysis interval is used as an integration period, and the corresponding time point to be integrated is used as a new starting time, and iterative integration is performed to obtain the integration period until all time points are integrated;

[0052] Count the number of integration periods and compare the number of integration periods with 1;

[0053] If the number of integration periods is 1, it means that the electromagnetic environment characterization values ​​corresponding to all time points in the historical period are relatively stable, and an active electromagnetic environment stability signal is generated;

[0054] If the number of integration periods is not 1, it means that the electromagnetic environment characterization values ​​corresponding to all time points in the historical period vary greatly, and an active electromagnetic environment unstable signal is generated;

[0055] The reason for comparing the number of integration periods with 1 is that when the number of integration periods is 1, it means that the representation value of the electromagnetic environment can be regarded as an overall stable or relatively consistent data set after a series of integration judgments during the entire historical period, which reflects that the stability of the electromagnetic environment is relatively high during the historical period, and there is no significant fluctuation or change. On the contrary, if the number of integration periods is not 1, it indicates that the representation value of the electromagnetic environment has obvious changes or fluctuations during the historical period, that is, the stability of the electromagnetic environment is relatively low;

[0056] The core technology of this embodiment is: extracting the active electromagnetic environment data of the navigation device from the historical data, and organizing and analyzing it, so as to evaluate the stability of the active electromagnetic environment. First, the historical data of the electric field strength and the magnetic field strength are obtained, and the electromagnetic environment characterization value is calculated. Then, based on these characterization values, the system divides the historical period into different integration periods through a series of integration judgment processes. Finally, by comparing the relationship between the number of integration periods and 1, the system can generate an active electromagnetic environment stable signal or unstable signal, thereby realizing the evaluation of the stability of the electromagnetic environment.

[0057] Therefore, by comprehensively considering the historical data of electric field strength and magnetic field strength, as well as their changing trends and discreteness, the stability of the active electromagnetic environment of the navigation equipment can be evaluated more accurately. The stable or unstable signals generated by the system can provide guidance for the subsequent dynamic evaluation management strategy and improve management efficiency. Example

[0058] Based on the above embodiments, Figure 2 As shown, an active electromagnetic environment assessment system for navigation equipment provided by an embodiment of the present invention specifically includes:

[0059] Dynamic assessment management module: Based on the stability assessment results of the active electromagnetic environment, the assessment strategy of the active electromagnetic environment is adjusted, including the stability active electromagnetic environment management submodule and the instability active electromagnetic environment management submodule;

[0060] In some embodiments, the stability active electromagnetic environment management submodule: analyzes the integration judgment value of the time point to be integrated in the integration period within the historical period based on the generated active electromagnetic environment stability signal, and adjusts the interval period of the regular evaluation;

[0061] Based on the generated active electromagnetic environment stability signal, an interval value of a current periodic evaluation is obtained and marked as a current evaluation interval value;

[0062] For each time point to be integrated in the integration period, obtain the integration judgment value corresponding to the time point to be integrated, perform difference calculation between the integration judgment value and the integration judgment threshold to obtain the integration judgment deviation value, sum and average all the integration judgment deviation values ​​to obtain the integration judgment deviation mean, perform ratio processing between the integration judgment deviation mean and the integration judgment threshold to obtain the integration judgment deviation ratio, which is marked as the adjustment coefficient;

[0063] The adjustment coefficient is multiplied by the current evaluation interval value to obtain the evaluation time adjustment amount;

[0064] The current assessment interval value and the assessment time adjustment amount are summed to obtain the assessment interval adjustment value, that is, the current assessment interval value is adjusted to the assessment interval adjustment value;

[0065] It should be explained that, under the condition of stable electromagnetic environment, extending the periodic assessment time can reduce the number of unnecessary assessments, thus saving human, material and time resources, thus ensuring that resources are used more effectively;

[0066] It should be noted that the maximum extension of the evaluation period is set. If the calculated new period exceeds the maximum extension, the maximum extension is taken as the new evaluation period.

[0067] In some embodiments, the unstable active electromagnetic environment management submodule: analyzes the time length value of the integration period in the historical period based on the generated active electromagnetic environment unstable signal, and adjusts the interval period of the regular evaluation;

[0068] Based on the generated active electromagnetic environment unstable signal, an interval value of a current periodic evaluation is obtained and marked as a current evaluation interval value;

[0069] Get the number of integration periods in the historical period and the time length of the integration period;

[0070] The time length of the integration period is calculated by taking the difference between the end time point and the initial time point of the integration period;

[0071] Arrange the time length values ​​of the integration period in descending order to obtain a time length value sorting table;

[0072] Extract the time length value corresponding to the three-quarters position number in the sorting table, which is the evaluation interval adjustment value, that is, adjust the current evaluation interval value to the evaluation interval adjustment value;

[0073] Among them, the calculation formula for the three-quarter position number BH in the sorting table is: , where GS is the number of integration periods in the historical period;

[0074] It should be noted that if the calculated BH is not an integer, the time length value corresponding to the next number is taken. For example, if there are 45 integration periods, the BH of the three-quarter position number in the sorting table is calculated to be 33.75, then the time length value corresponding to the 34th position number is selected as the evaluation interval adjustment value;

[0075] It should be noted that if the number of integration periods is less than four, the minimum value of the extracted time length value is the evaluation interval adjustment value;

[0076] The reason for selecting the time length value corresponding to the three-quarter position number in the sorting table as the evaluation interval adjustment value is that: selecting the time length value at the three-quarter position in the sorting table can avoid the influence of extreme cases, because it represents the length of most integration periods, rather than individual extreme values;

[0077] The technical solution of this embodiment is: according to the stability assessment result of the electromagnetic environment, the assessment strategy is intelligently adjusted. When the electromagnetic environment is stable, the assessment cycle is extended to reduce resource consumption. When the electromagnetic environment is unstable, the assessment interval is intelligently selected according to the length distribution of the historical integration period to ensure that the system can respond to environmental changes in a timely manner.

[0078] Therefore, by dynamically adjusting the evaluation strategy, unnecessary frequent evaluations are reduced, the evaluation efficiency is improved, and the evaluation cycle is extended when the electromagnetic environment is stable, effectively reducing the waste of human, material and time resources and optimizing resource utilization. When the electromagnetic environment is unstable, the evaluation interval is intelligently selected according to historical data, which can respond to environmental changes, improve flexibility and adaptability, and comprehensively consider the stability of the electromagnetic environment and historical data, making the evaluation strategy more reasonable and improving the accuracy of the evaluation results. Example

[0079] Based on the above embodiments, Figure 1 As shown, an embodiment of the present invention provides a method for evaluating the active electromagnetic environment of a navigation device, which specifically includes:

[0080] Step 1: Extract the active electromagnetic environment data of navigation equipment from the historical data, organize it, and obtain the active electromagnetic environment data set;

[0081] Step 2: Based on the acquired active electromagnetic environment data set, analyze the active electromagnetic environment data set to evaluate the stability of the active electromagnetic environment;

[0082] Step 3: Based on the stability assessment results of the active electromagnetic environment, adjust the assessment strategy of the active electromagnetic environment, including the stability active electromagnetic environment management submodule and the instability active electromagnetic environment management submodule;

[0083] Based on the generated active electromagnetic environment stability signal, the integrated judgment value of the time point to be integrated in the integration period within the historical period is analyzed, and the interval period of regular evaluation is adjusted;

[0084] Based on the generated active electromagnetic environment unstable signal, the time length of the integration period in the historical period is analyzed and the interval period of regular evaluation is adjusted;

[0085] The present invention evaluates the stability of the active electromagnetic environment of the navigation device by comprehensively considering the historical data of the electric field strength and the magnetic field strength and their changing trends and discrete degrees, and improves the evaluation efficiency and resource utilization by dynamically adjusting the evaluation strategy. When the electromagnetic environment remains stable, the evaluation cycle is extended and frequent evaluations are reduced. When the electromagnetic environment becomes unstable, it can respond to environmental changes in a timely manner and is relatively flexible. The evaluation method that comprehensively considers the stability of the electromagnetic environment and historical data not only improves the accuracy of the evaluation results, but also ensures the efficiency and intelligence of the evaluation process, providing strong support for the management and decision-making of the active electromagnetic environment of the navigation device. Example

[0086] like Figure 3 As shown, an embodiment of the present invention further provides a computer device, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a method for assessing the active electromagnetic environment of a navigation device as described in any one of the above methods is implemented.

[0087] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that

[0088] Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0089] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0090] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 302 may also be used to temporarily store data that has been output or is to be output. Example

[0091] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for assessing the active electromagnetic environment of a navigation device as described in any one of the above methods is implemented.

[0092] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0093] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0094] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0095] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0096] One point, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0097] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0098] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0099] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A navigation equipment active electromagnetic environment assessment system, characterized in that: Specifically include: Electromagnetic environment data acquisition module: extracts active electromagnetic environment data of navigation equipment from historical data, organizes it, and obtains active electromagnetic environment data set; Electromagnetic environment stability assessment module: Based on the acquired active electromagnetic environment data set, the active electromagnetic environment data set is analyzed to assess the stability of the active electromagnetic environment; The stability assessment of the active electromagnetic environment includes generating an active electromagnetic environment stable signal and generating an active electromagnetic environment unstable signal; The process of evaluating the stability of the active electromagnetic environment is: Based on the acquired active electromagnetic environment data set, the start time point of the historical period is taken as the starting time point, and a time point after the starting time point is obtained. These two time points are taken as the analysis interval, and the analysis interval is traversed backward through the time points for integration; Based on the analysis interval, the next time point after the analysis interval is marked as the time point to be integrated, and the integration judgment is performed on the time point to be integrated: Calculate the average value of the analysis interval, mark it as the median value of the initial data, calculate the standard deviation of the electromagnetic environment characterization value data in the analysis interval, mark it as the initial data standard deviation, calculate the absolute value of the difference between the electromagnetic environment characterization values ​​at adjacent time points in the analysis interval, mark it as the initial data deviation value; Calculate the average value of the electromagnetic environment characterization value data at each time point in the analysis interval and the time point to be integrated, and perform difference calculation with the median value of the initial data set, take the absolute value of the difference, and obtain the change value of the data set; Calculate the standard deviation of the electromagnetic environment characterization value data at each time point in the analysis interval and the time point to be integrated, and perform difference calculation with the initial data standard deviation, take the absolute value of the difference, and obtain the discrete change value of the data; Calculate the absolute value of the difference between the electromagnetic environment characterization value at the time point to be integrated and the electromagnetic environment characterization value at the last time point in the analysis interval, perform difference calculation with the initial data change value, take the absolute value of the difference, and obtain the data change value; Substitute into the formula , calculate the integrated judgment value ZH, where JZ is the data set change value, LS is the data discrete change value, PCX represents the data change value, is the average value of the initial data deviation between all adjacent time points in the analysis interval, N is the number of time periods between adjacent time points, i is the time period between the i-th adjacent time points in the analysis interval, is the initial data deviation value between the i-th adjacent time points in the analysis interval, and a1, a2, and a2 are preset proportional coefficients; comparing the integration judgment value with the integration judgment threshold; If the integration judgment value is greater than the integration judgment threshold, an integration signal is generated, and the corresponding time point to be integrated is integrated into the analysis interval to form a new analysis interval, which is the analysis interval for the next integration judgment; If the integration judgment value is less than or equal to the integration judgment threshold, a non-integration signal is generated, that is, the integration is stopped, and the corresponding analysis interval is used as an integration period, and the corresponding time point to be integrated is used as a new starting time, and iterative integration is performed to obtain the integration period until all time points are integrated; Get the integration period, count the number of integration periods, and compare the number of integration periods with 1; If the number of integration periods is 1, an active electromagnetic environment stability signal is generated; If the number of integration periods is not 1, an active electromagnetic environment unstable signal is generated; Dynamic assessment management module: Based on the stability assessment results of the active electromagnetic environment, the assessment strategy of the active electromagnetic environment is adjusted, including the stability active electromagnetic environment management submodule and the instability active electromagnetic environment management submodule; Among them, the stability active electromagnetic environment management submodule: based on the generated active electromagnetic environment stability signal, analyzes the integration judgment value of the time point to be integrated in the integration period within the historical period, and adjusts the interval period of regular evaluation; Unstable active electromagnetic environment management submodule: Based on the generated active electromagnetic environment unstable signal, the time length value of the integrated period in the historical period is analyzed and the interval period of regular evaluation is adjusted.

2. A navigation equipment active electromagnetic environment assessment system according to claim 1, characterized in that: The process of obtaining the active electromagnetic environment data set is: Extracting active electromagnetic environment data of navigation equipment in a historical period, wherein the active electromagnetic environment data includes electric field strength data and magnetic field strength data; The historical period is divided into several time points, the electric field strength value at each time point is compared with the standard value of the electric field strength to obtain the electric field strength ratio, the magnetic field strength value is compared with the standard value of the magnetic field strength to obtain the magnetic field strength ratio, and the electric field strength ratio and the magnetic field strength ratio are weighted and summed to obtain the electromagnetic environment characterization value; The electromagnetic environment characterization values ​​are arranged in chronological order to obtain an active electromagnetic environment data set.

3. The navigation equipment active electromagnetic environment assessment system according to claim 1, characterized in that: The specific process of the stability active electromagnetic environment management submodule is as follows: Based on the generated active electromagnetic environment stability signal, an interval value of a current periodic evaluation is obtained and marked as a current evaluation interval value; The adjustment coefficient is multiplied by the current evaluation interval value to obtain the evaluation time adjustment amount; The current evaluation interval value and the evaluation time adjustment amount are summed up to obtain the evaluation interval adjustment value, that is, the current evaluation interval value is adjusted to the evaluation interval adjustment value.

4. The navigation equipment active electromagnetic environment assessment system according to claim 3, characterized in that: The process of obtaining the adjustment coefficient is as follows: For each time point to be integrated in the integration period, the integration judgment value corresponding to the time point to be integrated is obtained, the difference between the integration judgment value and the integration judgment threshold is calculated to obtain the integration judgment deviation value, all the integration judgment deviation values ​​are summed and averaged to obtain the integration judgment deviation mean, the integration judgment deviation mean is ratioed with the integration judgment threshold to obtain the integration judgment deviation ratio, which is marked as the adjustment coefficient.

5. The navigation equipment active electromagnetic environment assessment system according to claim 1, characterized in that: The specific process of the unstable active electromagnetic environment management submodule is as follows: Based on the generated active electromagnetic environment unstable signal, an interval value of a current periodic evaluation is obtained and marked as a current evaluation interval value; Get the number of integration periods in the historical period and the time length of the integration period; The time length of the integration period is calculated by taking the difference between the end time point and the initial time point of the integration period; Arrange the time length values ​​of the integration period in descending order to obtain a time length value sorting table; The time length values ​​corresponding to the three-quarters position numbers in the sorting table are extracted, which are the evaluation interval adjustment values, that is, the current evaluation interval value is adjusted to the evaluation interval adjustment value.

6. A navigation equipment active electromagnetic environment assessment method, characterized in that: The method is performed by the evaluation system according to any one of claims 1 to 5, and the method specifically comprises the following steps: Step 1: Extract the active electromagnetic environment data of navigation equipment from the historical data, organize it, and obtain the active electromagnetic environment data set; Step 2: Based on the acquired active electromagnetic environment data set, analyze the active electromagnetic environment data set to evaluate the stability of the active electromagnetic environment; The stability assessment of the active electromagnetic environment includes generating an active electromagnetic environment stable signal and generating an active electromagnetic environment unstable signal; Step 3: Based on the stability assessment results of the active electromagnetic environment, adjust the assessment strategy of the active electromagnetic environment, including: Based on the generated active electromagnetic environment stability signal, the integrated judgment value of the time point to be integrated in the integration period within the historical period is analyzed, and the interval period of regular evaluation is adjusted; Based on the generated active electromagnetic environment unstable signal, the time length value of the integration period in the historical period is analyzed and the interval period of regular evaluation is adjusted.

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