Radar inspection method and system based on air monitoring

Abstract

The invention relates to the technical field of radar inspection, and particularly discloses a radar inspection method and system based on air monitoring, and the method specifically comprises the following steps: 1, carrying out the inspection of a target region, obtaining the feature parameters of a target signal, carrying out the processing, and calculating the abnormality judgment value of the target signal; according to the method, the abnormal time period of the target signal is obtained in the inspection process, the abnormal signal duration ratio and the abnormal signal deviation degree ratio total value of the abnormal time period are calculated, the abnormal judgment value is calculated, the abnormal judgment value is compared with the abnormal judgment threshold value, and whether the target area is abnormal or not is judged. Therefore, the time and errors of manual judgment can be reduced, the polling personnel can identify potential problems more quickly and respond quickly, the polling efficiency is improved, and potential equipment faults or potential safety hazards can be found and processed in time, so that fault expansion or accidents are reduced.

Description

Technical Field

[0001] The present invention relates to the field of radar inspection technology, and in particular to a radar inspection method and system based on aerial monitoring. Background Art

[0002] With the rapid development of science and technology, aerial monitoring technology is increasingly used in various fields, especially in the fields of power, aviation, security and urban management. The importance of aerial monitoring is becoming more and more prominent. These fields have an increasing demand for real-time, accurate and efficient monitoring to cope with increasingly complex environmental changes and potential safety hazards.

[0003] However, traditional inspection methods are highly dependent on manual labor, which is not only time-consuming and labor-intensive, but also easily affected by human factors (such as fatigue, lack of experience, etc.), resulting in greater subjectivity and uncertainty in inspection results. Although some inspection methods have adopted the control inspection method, they often focus on data collection and analysis of a single inspection cycle, lacking a multi-dimensional and multi-period comprehensive evaluation of inspection results.

[0004] In view of this, we proposed a radar inspection method and system based on aerial monitoring. Summary of the invention

[0005] The purpose of the present invention is to provide a radar inspection method and system based on aerial monitoring to solve the technical problems in the above background.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] In the first aspect, the present invention provides a radar inspection method based on aerial monitoring, and the specific method includes the following steps: Step 1: inspect the target area, obtain the characteristic parameters of the target signal, and process it to calculate the abnormal judgment value of the target signal; Step 2: compare the abnormal judgment value with the abnormal judgment threshold to obtain the abnormal target area; Step 3: inspect the target area multiple times, obtain the abnormal data of the target area, and process it to calculate the abnormal detection requirement value of the abnormal target area; Step 4: compare the abnormal detection requirement value with the abnormal detection requirement threshold to obtain the detection optimization area; Step 5: based on the obtained detection optimization area, calculate the adjustment priority coefficient, and determine the adjustment priority of the detection optimization area.

[0008] As a further solution of the present invention: the process of obtaining the abnormal judgment value is:

[0009] Obtain the total value of the abnormal signal duration ratio and the abnormal signal deviation ratio;

[0010] Substitute into the formula The abnormal judgment value PD is calculated, where SC represents the duration ratio of the abnormal signal, PC represents the total value of the abnormal signal deviation ratio, and a1 and a2 are preset proportional coefficients.

[0011] As a further solution of the present invention: the process of obtaining the abnormal signal duration ratio and the abnormal signal deviation ratio total value is as follows:

[0012] During the detection period, obtain the duration of the abnormal signal marked as abnormal period, mark it as abnormal period, sum up the duration of all abnormal periods to obtain the total duration of abnormal periods, calculate the ratio of the total duration of abnormal periods to the duration of the detection period, and obtain the duration ratio of abnormal signals;

[0013] During the detection period, the extreme value of the characteristic parameter of the abnormal period is obtained, the difference between the extreme value of the characteristic parameter of the abnormal period and the standard value of the characteristic parameter is calculated, the absolute value of the difference is taken to obtain the characteristic parameter deviation value, the ratio of the characteristic parameter deviation value to the standard value of the characteristic parameter is calculated to obtain the abnormal signal deviation degree ratio, the abnormal signal deviation degree ratios corresponding to all abnormal time periods are summed up to obtain the total value of the abnormal signal deviation degree ratio.

[0014] As a further solution of the present invention: the process of acquiring the abnormal signal is:

[0015] The drone flies to the target area according to the preset route and inspects the target area. The radar sensor obtains the reflected signal of the target area in real time and marks it as the target signal;

[0016] Preset a detection period and obtain characteristic parameters of the target signal within the detection period;

[0017] comparing the characteristic parameter of the target signal with a threshold range of the characteristic parameter of the target signal;

[0018] If the characteristic parameter of the target signal is not within the characteristic parameter threshold range of the target signal, it is marked as an abnormal signal.

[0019] As a further solution of the present invention: the process of acquiring the abnormal target area is:

[0020] Obtain an abnormality judgment value of the target area within the detection period, and compare the abnormality judgment value with the abnormality judgment threshold;

[0021] If the abnormality judgment value is greater than the abnormality judgment threshold, a regional abnormality signal is generated;

[0022] The target area corresponding to the abnormal signal of the generated area is obtained and marked as the abnormal target area.

[0023] As a further solution of the present invention: the process of obtaining the abnormality detection requirement value is:

[0024] Obtain the ratio of abnormal marking times and the average value of abnormal judgment deviation ratio;

[0025] The anomaly detection requirement value is obtained by multiplying the percentage of anomaly marking times by the mean of anomaly judgment deviation ratio.

[0026] As a further solution of the present invention: the process of obtaining the abnormal marking frequency ratio and the abnormal judgment deviation ratio mean is:

[0027] Preset a detection cycle, conduct regular inspections on the target area within the detection cycle, and obtain the value of the detection time period within the detection cycle;

[0028] In each detection period within the detection cycle, the abnormal target area corresponding to the abnormal signal of the generated area is obtained and marked, all the marked abnormal target areas are named as target analysis areas, and the corresponding abnormal judgment value of the target analysis area when it is marked as an abnormal target area is obtained;

[0029] During the detection cycle, the number of abnormal markings in each target analysis area is obtained, and the ratio of the number of abnormal markings in the target analysis area to the number of detection period values ​​is calculated to obtain the ratio of the number of abnormal markings;

[0030] The abnormal judgment values ​​corresponding to the target analysis area are respectively subtracted from the abnormal judgment threshold to obtain the abnormal judgment deviation value, the abnormal judgment deviation value is ratioed with the abnormal judgment threshold to obtain the abnormal judgment deviation ratio, and the abnormal judgment deviation ratios of the target analysis area are summed to obtain the total value of the abnormal judgment deviation ratio.

[0031] As a further solution of the present invention: the process of acquiring the detection optimization area is:

[0032] Obtain an anomaly detection requirement value of the target analysis area within the detection period, and compare the anomaly detection requirement value with an anomaly detection requirement threshold;

[0033] If the abnormal demand value is greater than the abnormal detection demand threshold, a high abnormal detection demand signal is generated;

[0034] Based on the high demand for generated anomaly detection, the target analysis area with high demand for generated anomaly detection is marked as a detection optimization area.

[0035] As a further solution of the present invention: the process of determining the adjustment priority of the detection optimization area is:

[0036] Obtain an anomaly detection demand value corresponding to the detection optimization area, perform difference calculation on the anomaly detection demand value and the anomaly detection demand threshold to obtain an anomaly detection demand deviation value, perform ratio processing on the anomaly detection demand deviation value and the anomaly detection demand deviation threshold to obtain an anomaly detection demand value deviation ratio;

[0037] The detection time periods within the detection cycle are numbered in order of time from small to large, and the detection time periods corresponding to the regional abnormal signals generated by the detection optimization area within the detection cycle are obtained, marked as time periods to be analyzed, and the consecutively numbered time periods to be analyzed are extracted, and the value of the consecutively numbered time periods to be analyzed is obtained, and the maximum value of the consecutively numbered time periods to be analyzed is extracted, and the maximum value of the consecutively numbered time periods to be analyzed is compared with the total number of time periods to be analyzed to obtain the proportion of the consecutively numbered time periods to be analyzed;

[0038] The adjustment priority coefficient is obtained by multiplying the deviation ratio of the abnormal detection demand value by the proportion of the number of consecutive numbered inspection and analysis periods;

[0039] A first threshold value and a second threshold value are preset, and the first threshold value is smaller than the second threshold value;

[0040] comparing the adjusted priority coefficient with a first degree threshold and a second degree threshold respectively;

[0041] If the adjusted priority coefficient is greater than or equal to the second degree threshold, marking the priority detection area as a high-level area;

[0042] If the first degree threshold is less than the adjustment priority coefficient and less than the second degree threshold, marking the priority detection area as a secondary area;

[0043] If the adjusted priority coefficient is less than or equal to the first degree threshold, the priority detection area is marked as a low-level area.

[0044] In a second aspect, the present invention provides a radar inspection system based on air monitoring, the system comprising:

[0045] Target signal abnormality judgment value calculation module: inspect the target area, obtain the characteristic parameters of the target signal, process it, and calculate the abnormality judgment value of the target signal;

[0046] Abnormal target area acquisition module: compares the abnormal judgment value with the abnormal judgment threshold to obtain the abnormal target area;

[0047] Target area abnormal data acquisition and calculation module: perform multiple inspections on the target area, obtain abnormal data of the target area, process it, and calculate the abnormal detection demand value of the abnormal target area;

[0048] Detection optimization area acquisition module: compares the anomaly detection requirement value with the anomaly detection requirement threshold to obtain the detection optimization area;

[0049] Inspection optimization module: Based on the acquired detection optimization area, calculate the adjustment priority coefficient and determine the adjustment priority of the detection optimization area.

[0050] Beneficial effects of the present invention:

[0051] (1) The present invention obtains the abnormal time period of the target signal during the inspection process, calculates the abnormal signal duration ratio and the abnormal signal deviation ratio of the abnormal time period, calculates the abnormal judgment value, compares the abnormal judgment value with the abnormal judgment threshold, and determines whether the target area is abnormal, thereby reducing the time and error of manual judgment, allowing inspection personnel to identify potential problems more quickly and respond quickly, improving the efficiency of inspection, and timely discovering and handling potential equipment failures or safety hazards, thereby reducing the expansion of failures or accidents;

[0052] (2) The present invention obtains the target area through multiple inspections, calculates the abnormal data of the target area, and the abnormal data includes the abnormal marking frequency ratio value and the abnormal judgment deviation ratio average value, and calculates the abnormal detection requirement value based on the calculated abnormal marking frequency ratio value and the abnormal judgment deviation ratio average value, and compares the abnormal detection requirement value with the abnormal detection requirement threshold value to judge the abnormal detection requirement degree of the target area, so that judgment can be made based on the results of multiple inspections, improve the accuracy of detection, reduce abnormal misjudgment caused by a single inspection, and can formulate an efficient inspection plan for the inspection of the target area based on the judged abnormal detection requirement degree;

[0053] (3) The present invention obtains the corresponding area when the abnormality detection demand is high, marks it as the detection optimization area, obtains the abnormality detection demand value corresponding to the detection optimization area and the continuity of the regional abnormal signal generated during the detection period, calculates the abnormality detection demand value deviation ratio and the proportion of the number of consecutively numbered time periods to be analyzed, and then calculates the adjustment priority coefficient based on the abnormality detection demand value deviation ratio and the proportion of the number of consecutively numbered time periods to be analyzed. The adjustment priority of the detection optimization area is determined by the calculated adjustment priority coefficient. Since the adjustment priority represents the degree of adjustment, the optimized detection area can be inspected and optimized according to the obtained adjustment priority, thereby improving the inspection efficiency of these areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] Figure 1 It is a flowchart of a radar inspection method based on air monitoring of the present invention;

[0056] Figure 2 It is a flowchart of obtaining an abnormal judgment value in a radar inspection method based on air monitoring of the present invention;

[0057] Figure 3The present invention is a block diagram of a radar inspection system based on air monitoring. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0059] Embodiment 1:

[0060] See also Figure 1 and Figure 2 As shown, a radar inspection method based on air monitoring according to an embodiment of the present invention comprises the following steps:

[0061] Step 1: inspect the target area, obtain the characteristic parameters of the target signal, process it, and calculate the abnormal judgment value of the target signal;

[0062] In some embodiments, the drone flies to the target area according to a preset route and inspects the target area, and the radar sensor obtains the reflected signal of the target area in real time and marks it as a target signal;

[0063] Preset a detection period, and obtain characteristic parameters of the target signal within the detection period, wherein the characteristic parameters of the target signal include but are not limited to a signal frequency value and a signal strength value;

[0064] Comparing the characteristic parameters of the target signal with the characteristic parameter threshold range of the target signal, wherein the characteristic parameter threshold range is set by a person skilled in the art based on historical experimental data;

[0065] If the characteristic parameter of the target signal is within the characteristic parameter threshold range of the target signal, it means that the target signal is in a normal state and is marked as a normal signal;

[0066] If the characteristic parameter of the target signal is not within the characteristic parameter threshold range of the target signal, it means that the target signal is in an abnormal state and is marked as an abnormal signal;

[0067] During the detection period, obtain the duration of the abnormal signal marked as abnormal period, mark it as abnormal period, sum up the duration of all abnormal periods to obtain the total duration of abnormal periods, calculate the ratio of the total duration of abnormal periods to the duration of the detection period, and obtain the duration ratio of abnormal signals;

[0068] During the detection period, the extreme value of the characteristic parameter of the abnormal period is obtained, the difference between the extreme value of the characteristic parameter of the abnormal period and the standard value of the characteristic parameter is calculated, the absolute value of the difference is taken to obtain the characteristic parameter deviation value, the characteristic parameter deviation value is calculated to be a ratio of the characteristic parameter standard value to obtain the abnormal signal deviation degree ratio, and the abnormal signal deviation degree ratios corresponding to all abnormal periods are summed to obtain the total value of the abnormal signal deviation degree ratio;

[0069] It should be noted that the characteristic parameter standard value is the average value of the maximum and minimum values ​​of the characteristic parameter threshold range, and the characteristic parameter extreme value during the abnormal period represents the maximum or minimum value of the characteristic parameter during the abnormal period;

[0070] Exemplarily, if the characteristic parameter value of the abnormal period is less than the minimum value of the characteristic parameter threshold range, the minimum value of the characteristic parameter of the abnormal period is extracted and the characteristic parameter standard value is calculated for difference; if the characteristic parameter value of the abnormal period is greater than the maximum value of the characteristic parameter threshold range, the maximum value of the characteristic parameter of the abnormal period is extracted and the characteristic parameter standard value is calculated for difference;

[0071] Substitute into the formula The abnormal judgment value PD is calculated, where SC represents the duration ratio of the abnormal signal, PC represents the total value of the abnormal signal deviation ratio, and a1 and a2 are preset proportional coefficients;

[0072] It should be explained that the meaning reflected by the abnormal judgment value is: the abnormal judgment value is calculated by the total value of the abnormal signal duration ratio and the abnormal signal deviation ratio, that is, the greater the abnormal signal duration ratio, the greater the abnormal judgment value, the longer the abnormal signal duration, and the higher the abnormal degree of the corresponding target area, that is, the greater the abnormal signal deviation ratio, the greater the abnormal judgment value, the greater the abnormal deviation of the characteristic parameters of the abnormal signal, and the higher the abnormal degree of the corresponding target area;

[0073] Step 2: Compare the abnormal judgment value with the abnormal judgment threshold to obtain the abnormal target area;

[0074] In some embodiments, an abnormality judgment value of the target area within the detection period is obtained, and the abnormality judgment value is compared with an abnormality judgment threshold, wherein the abnormality judgment threshold is a critical value used to judge whether the target area is abnormal, and is summarized and set by a person skilled in the art based on historical multiple experimental data;

[0075] If the abnormal judgment value is less than or equal to the abnormal judgment threshold, it means that the abnormal duration of the target signal in the target area is not long and the abnormal degree is not high, and a normal signal of the area is generated;

[0076] If the abnormality judgment value is greater than the abnormality judgment threshold, it means that the abnormality of the target signal in the target area lasts longer or the abnormality is higher, and a regional abnormality signal is generated;

[0077] Obtain the target area corresponding to the abnormal signal of the generated area and mark it as the abnormal target area;

[0078] The technical solution of the embodiment of the present invention is mainly as follows: by obtaining the abnormal time period of the target signal during the inspection process, calculating the proportion of the duration of the abnormal signal in the abnormal time period and the total value of the abnormal signal deviation degree ratio, calculating the abnormal judgment value, comparing the abnormal judgment value with the abnormal judgment threshold, and judging whether the target area is abnormal, the time and error of manual judgment can be reduced, so that the inspection personnel can identify potential problems more quickly and respond quickly, thereby improving the efficiency of the inspection, and can timely discover and deal with potential equipment failures or safety hazards, thereby reducing the expansion of failures or the occurrence of accidents.

[0079] Embodiment 2:

[0080] On the basis of Example 1, the radar inspection method based on air monitoring described in the embodiment of the present invention further includes the following steps:

[0081] Step 3: Perform multiple inspections on the target area, obtain abnormal data of the target area, process it, and calculate the abnormal detection demand value of the abnormal target area;

[0082] In some embodiments, a detection cycle is preset, and a regular inspection is performed on the target area during the detection cycle to obtain the value of the detection time period in the detection cycle;

[0083] In each detection period within the detection cycle, the abnormal target area corresponding to the abnormal signal of the generated area is obtained and marked, all the marked abnormal target areas are named as target analysis areas, and the corresponding abnormal judgment value of the target analysis area when it is marked as an abnormal target area is obtained;

[0084] During the detection cycle, the number of abnormal markings in each target analysis area is obtained, and the ratio of the number of abnormal markings in the target analysis area to the number of detection period values ​​is calculated to obtain the ratio of the number of abnormal markings;

[0085] The abnormal judgment values ​​corresponding to the target analysis area are respectively calculated by difference with the abnormal judgment threshold to obtain the abnormal judgment deviation value, the abnormal judgment deviation value is calculated by ratio with the abnormal judgment threshold to obtain the abnormal judgment deviation ratio, and the abnormal judgment deviation ratios of the target analysis area are summed to obtain the total value of the abnormal judgment deviation ratio;

[0086] The abnormality detection requirement value is obtained by multiplying the abnormality marking frequency ratio by the abnormality judgment deviation ratio mean;

[0087] It should be explained that the meaning reflected by the anomaly detection requirement value is: the anomaly detection requirement value is calculated by the ratio of the number of anomaly marking times and the total value of the anomaly judgment deviation ratio, that is, the larger the ratio of the number of anomaly marking times, the more times anomalies occur in the target analysis area during the detection cycle, and the higher the anomaly detection requirement of the target analysis area, that is, the larger the total value of the anomaly judgment deviation ratio, the larger the total deviation of the anomaly judgment value corresponding to the anomaly in the target analysis area and the anomaly judgment threshold, and the higher the anomaly detection requirement of the target analysis area;

[0088] Step 4: Compare the anomaly detection requirement value with the anomaly detection requirement threshold to obtain the detection optimization area;

[0089] In some embodiments, an abnormality detection requirement value of a target analysis area within a detection period is obtained, and the abnormality detection requirement value is compared with an abnormality detection requirement threshold value, wherein the abnormality detection requirement threshold value is summarized and set by a person skilled in the art based on historical multiple experimental data;

[0090] If the anomaly detection demand value is less than or equal to the anomaly detection demand threshold, it means that the target analysis area has a small number of anomalies and a low degree of anomalies during the detection period, and a low anomaly detection demand signal is generated;

[0091] If the abnormal demand value is greater than the abnormal detection demand threshold, it means that the target analysis area has a large number of abnormalities or a high degree of abnormality within the detection cycle, and a high abnormal detection demand signal is generated;

[0092] Based on the high demand for generated anomaly detection, the target analysis area with high demand for generated anomaly detection is marked as a detection optimization area;

[0093] The technical solution of the embodiment of the present invention is mainly as follows: by acquiring the target area for multiple inspections, the abnormal data of the target area is calculated, the abnormal data includes the proportion of abnormal marking times and the average of the abnormal judgment deviation ratio, and based on the calculated proportion of abnormal marking times and the average of the abnormal judgment deviation ratio, the abnormal detection requirement value is calculated, the abnormal detection requirement value is compared with the abnormal detection requirement threshold, and the degree of abnormal detection requirement of the target area is judged, so that judgment can be made through the results of multiple inspections, the accuracy of detection is improved, and the abnormal misjudgment caused by a single inspection is reduced, and based on the judged degree of abnormal detection requirement, an efficient inspection plan can be formulated for the inspection of the target area.

[0094] Example 3

[0095] On the basis of Example 1 and Example 2, the radar inspection method based on air monitoring described in the embodiment of the present invention further includes the following steps:

[0096] Step 5: Based on the obtained detection optimization area, calculate the adjustment priority coefficient and determine the adjustment priority of the detection optimization area;

[0097] In some embodiments, based on the target analysis region corresponding to the generated abnormal detection high demand signal, the target analysis region is marked as a detection optimization region;

[0098] Obtain an anomaly detection demand value corresponding to the detection optimization area, perform difference calculation on the anomaly detection demand value and the anomaly detection demand threshold to obtain an anomaly detection demand deviation value, perform ratio processing on the anomaly detection demand deviation value and the anomaly detection demand deviation threshold to obtain an anomaly detection demand value deviation ratio;

[0099] The detection time periods within the detection cycle are numbered in order of time from small to large, and the detection time periods corresponding to the regional abnormal signals generated by the detection optimization area within the detection cycle are obtained, marked as time periods to be analyzed, and the consecutively numbered time periods to be analyzed are extracted, and the value of the consecutively numbered time periods to be analyzed is obtained, and the maximum value of the consecutively numbered time periods to be analyzed is extracted, and the maximum value of the consecutively numbered time periods to be analyzed is compared with the total number of time periods to be analyzed to obtain the proportion of the consecutively numbered time periods to be analyzed;

[0100] The deviation ratio of the abnormal detection demand value is multiplied by the proportion of the number of consecutively numbered time periods to be analyzed to obtain the adjustment priority coefficient;

[0101] It should be explained that the larger the deviation ratio of the abnormal detection demand value, the higher the abnormal detection demand of the priority detection area, the higher the corresponding adjustment priority, and the more urgent the need for inspection time adjustment. The larger the proportion of the number of consecutive numbered time periods to be analyzed, the stronger the abnormal persistence of the priority detection area. The abnormal situation may be a persistent problem, the higher the corresponding adjustment priority, and the more urgent the need for inspection time adjustment.

[0102] A first degree threshold and a second degree threshold are preset, wherein the first degree threshold is smaller than the second degree threshold, and the first degree threshold and the second degree threshold are set by those skilled in the art based on a summary of multiple historical experimental data;

[0103] comparing the adjusted priority coefficient with a first degree threshold and a second degree threshold respectively;

[0104] If the adjusted priority coefficient is greater than or equal to the second degree threshold, marking the priority detection area as a high-level area;

[0105] If the first degree threshold is less than the adjustment priority coefficient and less than the second degree threshold, marking the priority detection area as a secondary area;

[0106] If the adjusted priority coefficient is less than or equal to the first degree threshold, the priority detection area is marked as a low-level area;

[0107] The technical solution of the embodiment of the present invention is mainly as follows: when the demand for abnormality detection is high, by acquiring the corresponding area, marking it as a detection optimization area, obtaining the abnormality detection demand value corresponding to the detection optimization area and the continuity of the regional abnormal signal generated within the detection period, calculating the abnormality detection demand value deviation ratio and the proportion of the number of consecutively numbered time periods to be analyzed, and then calculating the adjustment priority coefficient based on the abnormality detection demand value deviation ratio and the proportion of the number of consecutively numbered time periods to be analyzed. The adjustment priority of the detection optimization area is judged by the calculated adjustment priority coefficient. Since the adjustment priority represents the degree of adjustment, the optimized detection area can be inspected and optimized according to the obtained adjustment priority, thereby improving the inspection efficiency of these areas.

[0108] Embodiment 4:

[0109] Based on Example 1, Example 2 and Example 3, please refer to Figure 3 As shown, a radar inspection system based on air monitoring according to an embodiment of the present invention includes:

[0110] Target signal abnormality judgment value calculation module: inspect the target area, obtain the characteristic parameters of the target signal, process it, and calculate the abnormality judgment value of the target signal;

[0111] Abnormal target area acquisition module: compares the abnormal judgment value with the abnormal judgment threshold to obtain the abnormal target area;

[0112] Target area abnormal data acquisition and calculation module: perform multiple inspections on the target area, obtain abnormal data of the target area, process it, and calculate the abnormal detection demand value of the abnormal target area;

[0113] Detection optimization area acquisition module: compares the anomaly detection requirement value with the anomaly detection requirement threshold to obtain the detection optimization area;

[0114] Inspection optimization module: Based on the acquired detection optimization area, calculate the adjustment priority coefficient and determine the adjustment priority of the detection optimization area.

[0115] 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 radar inspection method based on aerial monitoring, characterized in that: The specific method includes the following steps: Step 1: inspect the target area, obtain the characteristic parameters of the target signal, process it, and calculate the abnormal judgment value of the target signal; Step 2: Compare the abnormal judgment value with the abnormal judgment threshold to obtain the abnormal target area; Step 3: Perform multiple inspections on the target area, obtain abnormal data of the target area, process it, and calculate the abnormal detection demand value of the abnormal target area; Step 4: Compare the anomaly detection requirement value with the anomaly detection requirement threshold to obtain the detection optimization area; Step 5: Based on the obtained detection optimization area, calculate the adjustment priority coefficient and determine the adjustment priority of the detection optimization area.

2. A radar inspection method based on air monitoring according to claim 1, characterized in that: The process of obtaining the abnormal judgment value is as follows: Obtain the total value of the abnormal signal duration ratio and the abnormal signal deviation ratio; Substitute into the formula The abnormal judgment value PD is calculated, where SC represents the duration ratio of the abnormal signal, PC represents the total value of the abnormal signal deviation ratio, and a1 and a2 are preset proportional coefficients.

3. A radar inspection method based on air monitoring according to claim 2, characterized in that: The process of obtaining the total value of the abnormal signal duration ratio and the abnormal signal deviation ratio is as follows: During the detection period, obtain the duration of the abnormal signal marked as abnormal period, mark it as abnormal period, sum up the duration of all abnormal periods to obtain the total duration of abnormal periods, calculate the ratio of the total duration of abnormal periods to the duration of the detection period, and obtain the duration ratio of abnormal signals; During the detection period, the extreme value of the characteristic parameter of the abnormal period is obtained, the difference between the extreme value of the characteristic parameter of the abnormal period and the standard value of the characteristic parameter is calculated, the absolute value of the difference is taken to obtain the characteristic parameter deviation value, the ratio of the characteristic parameter deviation value to the standard value of the characteristic parameter is calculated to obtain the abnormal signal deviation degree ratio, the abnormal signal deviation degree ratios corresponding to all abnormal time periods are summed up to obtain the total value of the abnormal signal deviation degree ratio.

4. The radar inspection method based on air monitoring according to claim 3 is characterized in that: The process of obtaining the abnormal signal is as follows: The drone flies to the target area according to the preset route and inspects the target area. The radar sensor obtains the reflected signal of the target area in real time and marks it as the target signal; Preset a detection period and obtain characteristic parameters of the target signal within the detection period; comparing the characteristic parameter of the target signal with a threshold range of the characteristic parameter of the target signal; If the characteristic parameter of the target signal is not within the characteristic parameter threshold range of the target signal, it is marked as an abnormal signal.

5. The radar inspection method based on air monitoring according to claim 1 is characterized in that: The acquisition process of the abnormal target area is as follows: Obtain an abnormality judgment value of the target area within the detection period, and compare the abnormality judgment value with the abnormality judgment threshold; If the abnormality judgment value is greater than the abnormality judgment threshold, a regional abnormality signal is generated; The target area corresponding to the abnormal signal of the generated area is obtained and marked as the abnormal target area.

6. The radar inspection method based on air monitoring according to claim 1 is characterized in that: The process of obtaining the abnormal detection requirement value is as follows: Obtain the ratio of abnormal marking times and the average value of abnormal judgment deviation ratio; The anomaly detection requirement value is obtained by multiplying the percentage of anomaly marking times by the mean of anomaly judgment deviation ratio.

7. The radar inspection method based on air monitoring according to claim 6 is characterized in that: The process of obtaining the abnormal marking frequency ratio and the average value of the abnormal judgment deviation ratio is as follows: Preset a detection cycle, conduct regular inspections on the target area within the detection cycle, and obtain the value of the detection time period within the detection cycle; In each detection period within the detection cycle, the abnormal target area corresponding to the abnormal signal of the generated area is obtained and marked, all the marked abnormal target areas are named as target analysis areas, and the corresponding abnormal judgment value of the target analysis area when it is marked as an abnormal target area is obtained; During the detection cycle, the number of abnormal markings in each target analysis area is obtained, and the ratio of the number of abnormal markings in the target analysis area to the number of detection period values ​​is calculated to obtain the ratio of the number of abnormal markings; The abnormal judgment values ​​corresponding to the target analysis area are respectively subtracted from the abnormal judgment threshold to obtain the abnormal judgment deviation value, the abnormal judgment deviation value is ratioed with the abnormal judgment threshold to obtain the abnormal judgment deviation ratio, and the abnormal judgment deviation ratios of the target analysis area are summed to obtain the total value of the abnormal judgment deviation ratio.

8. The radar inspection method based on air monitoring according to claim 1 is characterized in that: The process of obtaining the detection optimization area is as follows: Obtain an anomaly detection requirement value of the target analysis area within the detection period, and compare the anomaly detection requirement value with an anomaly detection requirement threshold; If the abnormal demand value is greater than the abnormal detection demand threshold, a high abnormal detection demand signal is generated; Based on the high demand for generated anomaly detection, the target analysis area with high demand for generated anomaly detection is marked as a detection optimization area.

9. The radar inspection method based on air monitoring according to claim 1, characterized in that: The process of determining the adjustment priority of the detection optimization area is as follows: Obtain an anomaly detection demand value corresponding to the detection optimization area, perform difference calculation on the anomaly detection demand value and the anomaly detection demand threshold to obtain an anomaly detection demand deviation value, perform ratio processing on the anomaly detection demand deviation value and the anomaly detection demand deviation threshold to obtain an anomaly detection demand value deviation ratio; The detection time periods within the detection cycle are numbered in order of time from small to large, and the detection time periods corresponding to the regional abnormal signals generated by the detection optimization area within the detection cycle are obtained, marked as time periods to be analyzed, and the consecutively numbered time periods to be analyzed are extracted, and the value of the consecutively numbered time periods to be analyzed is obtained, and the maximum value of the consecutively numbered time periods to be analyzed is extracted, and the maximum value of the consecutively numbered time periods to be analyzed is compared with the total number of time periods to be analyzed to obtain the proportion of the consecutively numbered time periods to be analyzed; The deviation ratio of the abnormal detection demand value is multiplied by the proportion of the number of consecutively numbered time periods to be analyzed to obtain the adjustment priority coefficient; A first threshold value and a second threshold value are preset, and the first threshold value is smaller than the second threshold value; comparing the adjusted priority coefficient with a first degree threshold and a second degree threshold respectively; If the adjusted priority coefficient is greater than or equal to the second degree threshold, marking the priority detection area as a high-level area; If the first degree threshold is less than the adjustment priority coefficient and less than the second degree threshold, marking the priority detection area as a secondary area; If the adjusted priority coefficient is less than or equal to the first degree threshold, the priority detection area is marked as a low-level area.

10. A radar inspection system based on air monitoring, characterized in that: The system is used to execute the method described in any one of claims 1 to 9, and the system comprises: Target signal abnormality judgment value calculation module: inspect the target area, obtain the characteristic parameters of the target signal, process it, and calculate the abnormality judgment value of the target signal; Abnormal target area acquisition module: compares the abnormal judgment value with the abnormal judgment threshold to obtain the abnormal target area; Target area abnormal data acquisition and calculation module: perform multiple inspections on the target area, obtain abnormal data of the target area, process it, and calculate the abnormal detection demand value of the abnormal target area; Detection optimization area acquisition module: compares the anomaly detection requirement value with the anomaly detection requirement threshold to obtain the detection optimization area; Inspection optimization module: Based on the acquired detection optimization area, calculate the adjustment priority coefficient and determine the adjustment priority of the detection optimization area.

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