Indoor magnetic field evaluation method and system

Abstract

The present invention discloses a method and system for indoor magnetic field assessment, which relates to the technical field of magnetic field assessment, and solves the problem that the confirmed corresponding magnetic field correlation curve is not in a regular band, the magnetic field corresponding to the correlation moment cannot be used as a relevant assessment standard, and the accuracy of the magnetic field strength cannot be guaranteed. The present invention confirms the magnetic field change curves in different directions, and then determines the relevant features of the feature segmentation based on the relevant line segment features of the different change curves, identifies whether the relevant features between adjacent feature segments meet the standards, assesses whether they comply with the regular situation, and then specifically confirms the relevant regular segmentation. By adopting this confirmation method, the confirmed relevant regular segmentation is more accurate and the effect is better, thereby ensuring the relevant accuracy of subsequent indoor magnetic field assessment.

Description

Technical Field

[0001] The present invention relates to the technical field of magnetic field evaluation, and in particular to an indoor magnetic field evaluation method and system. Background Art

[0002] The measurement of magnetic flux, magnetic flux density, magnetomotive force, and magnetic field strength in space or magnetic materials is one of the aspects of magnetic quantity measurement. The magnetic flux density in space is proportional to the magnetic field strength, so measuring the magnetic field strength in space is essentially also measuring the magnetic flux density. Therefore, what is actually measured with a magnetometer is the magnetic flux density; magnetic field measurement is mainly performed using ceramic measuring instruments.

[0003] The application with publication number CN117269856B relates to the field of indoor magnetic field assessment, and is used to solve the problem that the single coverage area of ​​the measuring instrument is limited, and the measuring instrument needs to be frequently moved to complete the indoor environment measurement, which makes the measurement time-consuming and labor-intensive. Specifically, it is an indoor magnetic field assessment measurement and rapid adjustment method; in this invention, by constructing a simulated electromagnetic shielding room with a relatively compressed design and performing magnetic field detection inside the electromagnetic shielding room, the magnetic field measuring instrument can cover all walls in one direction of the simulated electromagnetic shielding room at one time. When measuring the magnetic field in the simulated electromagnetic shielding room, the height and orientation of the measuring instrument are adjusted by a multi-stage telescopic mechanism and a drive motor, so that after the measuring instrument measures and evaluates the magnetic field in the simulated electromagnetic shielding room, it can analyze the installation position of the metal sheet and automatically complete the installation of the metal sheet through the metal sheet installation mechanism, thereby avoiding personnel frequently opening or entering the simulated electromagnetic shielding room.

[0004] During the relevant evaluation process of the indoor magnetic field, the magnetic field strength is generally displayed based on the magnetic field performance of the relevant points for external relevant personnel to view. However, this method of intensity determination is not accurate because the relevant magnetic field is in a fluctuating state. If the confirmed corresponding magnetic field correlation curve is not in a regular band, the magnetic field corresponding to the correlation moment cannot be used as a relevant evaluation standard, and the accuracy of the magnetic field strength cannot be guaranteed. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides an indoor magnetic field assessment method and system, which solves the problem that the confirmed corresponding magnetic field correlation curve is not in a regular band, the magnetic field corresponding to the correlation moment cannot be used as a relevant evaluation standard, and the accuracy of the magnetic field strength cannot be guaranteed.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for evaluating indoor magnetic fields, comprising the following steps:

[0007] S1) Use relevant magnetic field testing equipment to conduct magnetic field testing at relevant locations indoors. During the testing process, confirm the magnetic field parameters in the three spatial directions one by one, and generate magnetic field parameter change curves in three different spatial directions based on the relevant timeline. The specific method is as follows:

[0008] S11. Determine three sets of horizontal direction-related magnetic field parameters based on the location of the magnetic field testing device, where the three sets of horizontal directions are a spatial transverse direction, a spatial vertical direction, and a spatial vertical direction;

[0009] S12. Based on different magnetic field parameters corresponding to different moments during the test process, where the test period is T and T is a preset value, generate corresponding magnetic field parameter change curves, wherein the corresponding magnetic field parameter change curves are constructed in a related two-dimensional coordinate system, where the horizontal coordinate axis of the two-dimensional coordinate system is the timeline and the vertical coordinate axis is the magnetic field parameter;

[0010] S2) Based on the confirmed three sets of magnetic field parameter change curves, the line segment changes within each set of magnetic field parameter change curves are analyzed to identify regular feature segments within the relevant change curves, and each set of identified feature segments is calibrated. The specific method is as follows:

[0011] S21, confirm the fluctuation points in the magnetic field parameter change curve one by one: confirm the maximum magnetic field parameter C that appears in the corresponding magnetic field parameter change curve i max and minimum magnetic field parameters C i min, where i represents the different magnetic field parameter change curves, which will belong to [C i max,C i max-Y1] and [C i min,C i min+Y1] are marked as pending points, where Y1 is a preset value, and the pending points with inconsistent trends of the previous and next line segments are marked as fluctuation points;

[0012] S22. Based on the plurality of groups of fluctuation points confirmed in the magnetic field parameter variation curve, three groups of fluctuation points are preferentially selected from the front to the back, and the magnetic field parameters of the first group of fluctuation points and the last group of fluctuation points belong to [C i min,C i min+Y1], the magnetic field parameters of the middle group of fluctuation points belong to [C i max,C i max-Y1], the segments between the three groups of fluctuation points are marked as pending segments;

[0013] S23. Determine the pending feature of the pending segment: determine the difference between the maximum magnetic field parameter and the minimum magnetic field parameter in the pending segment and calibrate it as Cz, then confirm the time length Sz between the front and rear endpoints of the pending segment, and use Tz1=Cz×C1+Sz×C2 to confirm its pending feature Tz1, where C1 and C2 are both preset fixed coefficient factors. Based on the determined pending segment, identify the pending feature Tz2 of the pending segment corresponding to the subsequent three groups of fluctuation points. If |Tz1-Tz2|≤Y2, where Y2 is a preset value, then calibrate this type of pending segment as a feature segment, and then use the pending segment corresponding to Tz2 as the evaluation standard for the next group of pending segments, and confirm and calibrate the subsequent feature segments one by one;

[0014] If |Tz1-Tz2|>Y2, then the pending segment corresponding to Tz2 is used as the standard, and the pending segments corresponding to the subsequent three groups of fluctuation points are confirmed and their related pending features Tz3 are confirmed, until the absolute value of the difference in the pending feature values ​​between the subsequent consecutive pending segments is ≤Y2, the feature segment is determined, and the subsequent feature segments are confirmed and calibrated one by one;

[0015] S3) Based on the several groups of characteristic segments marked in the corresponding magnetic field parameter change curve, based on the time lines corresponding to the relevant characteristic segments in each group of magnetic field parameter change curve, and based on the different time lines corresponding to different characteristic segments, three groups of optimal segments are selected from the several groups of characteristic segments, specifically in the following manner:

[0016] S31. Based on the plurality of characteristic segments calibrated in each set of magnetic field parameter change curves, determine the timeline corresponding to the characteristic segment, and based on the timeline, determine the partial curves associated with the other two sets of magnetic field parameter change curves, whose timelines are consistent with the timeline:

[0017] Identify the intersection of the partial curve and the calibrated characteristic segment, and identify the proportion value Z of the intersection segment corresponding to the characteristic segment. If there are multiple groups of proportion values, select the maximum value from the multiple groups of proportion values ​​as the proportion value Z. The two groups of proportion values ​​Z confirmed from the two groups of magnetic field parameter change curves are averaged and used as the characteristic parameter Z associated with this characteristic segment.

[0018] S32, after confirming the characteristic parameters Z of different characteristic segments in a single set of magnetic field parameter change curves one by one, then confirming the characteristic parameters Z of different characteristic segments in the other two sets of magnetic field parameter change curves one by one, and selecting a maximum value from the confirmed sets of characteristic parameters Z as the standard feature;

[0019] S33, marking the feature segment associated with the standard feature and the three segments of the partial curve as excellent segments;

[0020] S4) Based on the three confirmed optimal segments, the magnetic field parameters corresponding to the three optimal segments at the same time are confirmed to be associated with the magnetic intensity, and based on the confirmation results, the associated magnetic intensity interval is locked and displayed; the specific method is:

[0021] S41. From the three optimal segments, the magnetic field parameters corresponding to the same moment are calibrated as CC k 、CD k and CQ k , where k represents different moments;

[0022] S42, use: Confirm the associated magnetic intensity ZQ corresponding to the corresponding time k , based on the different correlated magnetic intensities ZQ corresponding to several different moments k Select the minimum and maximum values ​​therefrom, construct a related magnetic intensity interval, and display the constructed related magnetic intensity interval;

[0023] S5) Based on the confirmed associated magnetic intensity interval, identify whether the maximum value in this interval exceeds a preset range. If it exceeds the preset range, generate a warning signal for display; if it does not exceed the preset range, no signal is generated, where the preset range is a preset value.

[0024] Preferably, an indoor magnetic field assessment system comprises:

[0025] The magnetic field parameter curve construction end confirms the magnetic field parameters in the three spatial directions during the test one by one, and generates the magnetic field parameter change curves in the three different spatial directions based on the relevant timeline;

[0026] The characteristic segmentation calibration end, based on the confirmed three groups of magnetic field parameter change curves, identifies the regular characteristic segments within the relevant change curves according to the line segment changes within each group of magnetic field parameter change curves, and performs relevant calibration on each group of identified characteristic segments;

[0027] The optimal segment calibration end selects three optimal segments from the plurality of characteristic segments based on the plurality of characteristic segments calibrated in the corresponding magnetic field parameter change curve, based on the time lines corresponding to the relevant characteristic segments in each group of magnetic field parameter change curves, and based on the different time lines corresponding to different characteristic segments;

[0028] The associated magnetic intensity confirmation terminal confirms the associated magnetic intensity of the magnetic field parameters corresponding to the three groups of optimal segments at the same time based on the confirmed three groups of optimal segments, and based on the confirmation results, locks the associated magnetic intensity interval and displays it.

[0029] The present invention provides a method and system for indoor magnetic field assessment. Compared with the existing technology, it has the following advantages:

[0030] The present invention confirms the magnetic field change curves in different directions, and then determines the relevant features of the feature segments based on the relevant line segment features of the different change curves, identifies whether the relevant features between adjacent feature segments meet the standards, assesses whether they conform to the regular situation, and then specifically confirms the relevant regular segmentation. With this confirmation method, the confirmed relevant regular segmentation is more accurate and has better effects, ensuring the relevant accuracy of subsequent indoor magnetic field assessments;

[0031] Subsequently, in order to further ensure the overall accuracy of the assessed magnetic field strength, the characteristic segments are confirmed one by one. Based on the associated timeline, other related segments are confirmed. Then, based on the confirmed characteristic parameters, the best three groups of excellent segments are selected. The magnetic field is then confirmed for each group of excellent segments. The confirmed related magnetic field strength is more accurate and has better effects, which can achieve better indoor magnetic field assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of the process of the present invention;

[0033] Figure 2 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention. Example

[0035] See also Figure 1 , the present application provides a method for evaluating indoor magnetic field, comprising the following steps:

[0036] S1) Use relevant magnetic field testing equipment to conduct magnetic field testing at relevant locations indoors, and during the test, confirm the magnetic field parameters in three spatial directions one by one, and generate magnetic field parameter change curves in three different spatial directions based on the relevant timeline. The so-called three spatial directions are the relevant directions of three-dimensional space, and the three-dimensional space is a set of three-dimensional space, and its three directions are three different axial directions of X, Y and Z, and each axial direction will generate different magnetic flux, so that the magnetic field parameter change curve of each different direction can be confirmed;

[0037] The specific method of generating the three magnetic field parameter change curves is as follows:

[0038] S11. Determine three sets of horizontal direction-related magnetic field parameters based on the location of the magnetic field testing device. The three sets of horizontal directions are a horizontal direction, a vertical direction, and a vertical direction. The three sets of directions can be understood as the X-axis, Y-axis, and Z-axis of a three-dimensional coordinate system.

[0039] S12. Based on different magnetic field parameters corresponding to different moments in the test process, the test period is T, where T is a preset value, the specific value of which is determined by the operator based on experience, generally taking a value of 10 minutes, and generating corresponding magnetic field parameter change curves, wherein the corresponding magnetic field parameter change curves are constructed in a related two-dimensional coordinate system, where the horizontal coordinate axis of the two-dimensional coordinate system is the time line, and the vertical coordinate axis is the magnetic field parameter;

[0040] Specifically, different directions and different times correspond to different magnetic field parameters. Based on the changes in the magnetic field parameters, the relevant points can be identified in the two-dimensional coordinate system. By connecting the points, the relevant change curve can be identified.

[0041] S2) Based on the confirmed three groups of magnetic field parameter change curves, the line segment changes within each group of magnetic field parameter change curves are identified, and regular characteristic segments are identified within the relevant change curves, and each group of identified characteristic segments is calibrated. In the process of changing the magnetic flux obtained by the test, the relevant magnetic flux may be in a chaotic stage in the initial stage, but as time changes, the magnetic flux will gradually stabilize. After stabilization, several related segments with roughly the same changes will appear. The specific regularity can be identified from the related segments that appear in sequence, and specific calibration can be performed;

[0042] The specific methods for identification are:

[0043] S21, confirm the fluctuation points in the magnetic field parameter change curve one by one: confirm the maximum magnetic field parameter C that appears in the corresponding magnetic field parameter change curve i max and minimum magnetic field parameters C i min, where i represents the different magnetic field parameter change curves, which will belong to [C i max,C i max-Y1] and [C i min,C imin+Y1] are calibrated as pending points, where Y1 is a preset value, and its specific value is determined by the operator based on experience. The pending points with inconsistent trends of the front and rear segments are calibrated as fluctuation points. When the trend of the line segment in front of the fluctuation point is upward, the trend of the rear segment is downward. When the trend of the line segment in front of the fluctuation point is downward, the trend of the rear segment is upward. The reason for the relevant confirmation of the fluctuation point here is to identify the relevant regular segments. When the corresponding magnetic field parameters gradually tend to the regular situation, they generally move from the relevant maximum value to the minimum value, and then rise from the minimum value to the maximum value, and each stage of movement change is regular, so it is necessary to confirm the relevant fluctuation points and confirm the characteristic segments inside the relevant curve one by one;

[0044] S22. Based on the plurality of groups of fluctuation points confirmed in the magnetic field parameter variation curve, three groups of fluctuation points are preferentially selected from the front to the back, and the magnetic field parameters of the first group of fluctuation points and the last group of fluctuation points belong to [C i min,C i min+Y1], the magnetic field parameters of the middle group of fluctuation points belong to [C i max,C i max-Y1], the segments between the three groups of fluctuation points are marked as pending segments;

[0045] S23. Determine the pending feature of the pending segment: determine the difference between the maximum magnetic field parameter and the minimum magnetic field parameter in the pending segment and calibrate it as Cz, then confirm the time length Sz between the front and rear endpoints of the pending segment, and use Tz1=Cz×C1+Sz×C2 to confirm its pending feature Tz1, where C1 and C2 are both preset fixed coefficient factors, and their specific values ​​are determined by the operator based on experience. Based on the determined pending segment, identify the pending feature Tz2 of the pending segment corresponding to the subsequent three groups of fluctuation points. If |Tz1-Tz2|≤Y2, where Y2 is a preset value, and its specific value is determined by the operator based on experience, then such pending segment is calibrated as a feature segment, and then the pending segment corresponding to Tz2 is used as the evaluation standard for the next group of pending segments, and the subsequent feature segments that appear one by one are confirmed and calibrated one by one;

[0046] If |Tz1-Tz2|>Y2, then the pending segment corresponding to Tz2 is used as the standard, and the pending segments corresponding to the subsequent three groups of fluctuation points are confirmed and their related pending features Tz3 are confirmed, until the absolute value of the difference in the pending feature values ​​between the subsequent consecutive pending segments is ≤Y2, the feature segment is determined, and the subsequent feature segments are confirmed and calibrated one by one;

[0047] Specifically, the so-called feature segmentation, since there is a pattern, then the difference between the maximum and minimum values ​​and the time difference between the points all have relevant patterns. Even if there are relevant fluctuations, the overall fluctuation between the two should be small. Then, using the above method, the corresponding feature segments can be confirmed one by one, and the relevant differences between the relevant feature items between the relevant pending segments can be identified. Based on the specific performance of the relevant differences, the relevant feature segments can be selected from the confirmed pending segments. Based on the selected feature segments, the relevant magnetic field can be confirmed, so that the subsequently confirmed magnetic field strength is more accurate, and the relevant magnetic field strength can be accurately identified from the feature segments.

[0048] S3) Based on the plurality of characteristic segments calibrated in the corresponding magnetic field parameter change curve, based on the time lines corresponding to the relevant characteristic segments in each group of magnetic field parameter change curve, and based on the different time lines corresponding to different characteristic segments, three groups of optimal segments are selected from the plurality of characteristic segments, wherein the specific method of selection is as follows:

[0049] S31. Based on the plurality of characteristic segments calibrated in each set of magnetic field parameter change curves, determine the timeline corresponding to the characteristic segment, and based on the timeline, determine the partial curves associated with the other two sets of magnetic field parameter change curves, whose timelines are consistent with the timeline:

[0050] Identify the intersection line segment of the partial curve and the calibrated characteristic segment, and identify the proportion value Z of the intersection line segment corresponding to the characteristic segment. If the partial curve intersects with two groups of characteristic segments respectively, then there are two groups of proportion values. The maximum value from the two groups of proportion values ​​is selected as the proportion value Z. If there are multiple groups of proportion values, the maximum value from the multiple groups of proportion values ​​is selected as the proportion value Z. The two groups of proportion values ​​Z confirmed from the two groups of magnetic field parameter change curves are averaged and used as the characteristic parameter Z associated with this characteristic segment.

[0051] S32, after confirming the characteristic parameters Z of different characteristic segments in a single set of magnetic field parameter change curves one by one, then confirming the characteristic parameters Z of different characteristic segments in the other two sets of magnetic field parameter change curves one by one, and selecting a maximum value from the confirmed sets of characteristic parameters Z as the standard feature;

[0052] S33, marking the feature segment associated with the standard feature and the three segments of the partial curve as excellent segments;

[0053] Specifically, let's understand it with an example. Suppose the magnetic field parameter change curves are curve A, curve B, and curve C, where the time points of the first set of characteristic segments appearing in curve A are 10-20, the time points of the characteristic segments of curve B are 11-21, and the time points of the characteristic segments appearing in curve C are 9-19. Although there are characteristic segments, the time lines are staggered. Therefore, when performing analysis, it is necessary to select related segments with consistent time lines for relevant confirmation of magnetic field intensity. Then, taking the characteristic segment in A as the standard, select some segments of the same time line 10-20 from B and C, and the proportion of these segments is 90%. Then the characteristic parameters generated in this stage are 90%. Then, different characteristic parameters can be confirmed for each other group of different characteristic segments. From the characteristic parameters confirmed one by one, when the characteristic parameter is the largest, it means that the characteristic segments associated with the same time line account for the largest proportion. Then, when analyzing such segments, the accuracy of the magnetic field intensity is the highest. Example

[0054] During the specific implementation process, the main difference between this embodiment and the above embodiment is that this embodiment mainly confirms the magnetic field strength and displays the confirmed relevant magnetic field strength for external personnel to view, completing the entire magnetic field strength evaluation process;

[0055] S4) Based on the three confirmed optimal segments, the magnetic field parameters corresponding to the three optimal segments at the same time are confirmed to be associated with the magnetic intensity, and based on the confirmation results, the associated magnetic intensity interval is locked and displayed. The specific method of confirmation is:

[0056] S41. From the three optimal segments, the magnetic field parameters corresponding to the same moment are calibrated as CC k 、CD k and CQ k , where k represents different moments;

[0057] S42, use: Confirm the associated magnetic intensity ZQ corresponding to the corresponding time k , based on the different correlated magnetic intensities ZQ corresponding to several different moments k Select the minimum and maximum values ​​therefrom, construct a related magnetic intensity interval, and display the constructed related magnetic intensity interval;

[0058] Specifically, since the confirmed magnetic field parameters are related parameters in three different horizontal directions, in order to lock the specific magnetic field strength corresponding to the three related parameters, the specific associated magnetic intensity can be locked therefrom.

[0059] An indoor magnetic field assessment system, comprising:

[0060] The magnetic field parameter curve construction end confirms the magnetic field parameters in the three spatial directions during the test one by one, and generates the magnetic field parameter change curves in the three different spatial directions based on the relevant timeline;

[0061] The characteristic segmentation calibration end, based on the confirmed three groups of magnetic field parameter change curves, identifies the regular characteristic segments within the relevant change curves according to the line segment changes within each group of magnetic field parameter change curves, and performs relevant calibration on each group of identified characteristic segments;

[0062] The optimal segment calibration end selects three optimal segments from the plurality of characteristic segments based on the plurality of characteristic segments calibrated in the corresponding magnetic field parameter change curve, based on the time lines corresponding to the relevant characteristic segments in each group of magnetic field parameter change curves, and based on the different time lines corresponding to different characteristic segments;

[0063] The associated magnetic intensity confirmation terminal confirms the associated magnetic intensity of the magnetic field parameters corresponding to the three groups of optimal segments at the same time based on the confirmed three groups of optimal segments, and based on the confirmation results, locks the associated magnetic intensity interval and displays it. Example

[0064] In the specific implementation process of this embodiment, for the correlation analysis of the corresponding associated magnetic intensity intervals, based on the specific analysis process, it is determined whether the indoor magnetic field meets the standard:

[0065] S5), based on the confirmed associated magnetic intensity interval, identifying whether the maximum value in the interval exceeds a preset range, if it exceeds the preset range, generating a warning signal display, if it does not exceed the preset range, no signal is generated;

[0066] The preset range is a preset value, and its specific value is determined by the operator based on experience.

[0067] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0068] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for evaluating indoor magnetic field, characterized in that: The following steps are involved: S1) Use relevant magnetic field testing equipment to conduct magnetic field testing at relevant locations indoors. During the testing process, confirm the magnetic field parameters in the three spatial directions one by one, and generate magnetic field parameter change curves in three different spatial directions based on the relevant timeline; S2) Based on the confirmed three groups of magnetic field parameter change curves, the line segment changes within each group of magnetic field parameter change curves are analyzed to identify regular feature segments within the relevant change curves, and each group of identified feature segments is calibrated; S3), based on the plurality of groups of characteristic segments calibrated in the corresponding magnetic field parameter change curve, based on the time lines corresponding to the relevant characteristic segments in each group of magnetic field parameter change curve, and based on the different time lines corresponding to different characteristic segments, selecting three groups of excellent segments from the plurality of groups of characteristic segments; S4) Based on the confirmed three groups of optimal segments, the magnetic field parameters corresponding to the three groups of optimal segments at the same time are confirmed to have associated magnetic intensities, and based on the confirmation results, the associated magnetic intensity intervals are locked and displayed.

2. The indoor magnetic field evaluation method according to claim 1, characterized in that: In step S1, the specific method of generating three magnetic field parameter change curves is: S11. Determine three sets of horizontal direction-related magnetic field parameters based on the location of the magnetic field testing device, where the three sets of horizontal directions are a spatial transverse direction, a spatial vertical direction, and a spatial vertical direction; S12. Based on the different magnetic field parameters corresponding to different moments in the test process, the test period is T, and T is a preset value, and a corresponding magnetic field parameter change curve is generated, wherein the corresponding magnetic field parameter change curve is constructed in a related two-dimensional coordinate system, and the horizontal coordinate axis of the two-dimensional coordinate system is the time line, and the vertical coordinate axis is the magnetic field parameter.

3. The indoor magnetic field evaluation method according to claim 1, characterized in that: In step S2, the specific method of identifying the internal characteristic segments of the magnetic field parameter variation curve is: S21, confirm the fluctuation points in the magnetic field parameter change curve one by one: confirm the maximum magnetic field parameter C that appears in the corresponding magnetic field parameter change curve i max and minimum magnetic field parameters C i min, where i represents the different magnetic field parameter change curves, which will belong to [C i max,C i max-Y1] and [C i min,C i min+Y1] are marked as pending points, where Y1 is a preset value, and the pending points with inconsistent trends of the previous and next line segments are marked as fluctuation points; S22. Based on the plurality of groups of fluctuation points confirmed in the magnetic field parameter variation curve, three groups of fluctuation points are preferentially selected from the front to the back, and the magnetic field parameters of the first group of fluctuation points and the last group of fluctuation points belong to [C i min,C i min+Y1], the magnetic field parameters of the middle group of fluctuation points belong to [C i max,C i max-Y1], the segments between the three groups of fluctuation points are marked as pending segments; S23. Determine the pending features of the pending segment: determine the difference between the maximum magnetic field parameter and the minimum magnetic field parameter in the pending segment and calibrate it as Cz, then confirm the time length Sz between the front and rear endpoints of this pending segment, and use Tz1=Cz×C1+Sz×C2 to confirm its pending feature Tz1, where C1 and C2 are both preset fixed coefficient factors. Based on the determined pending segment, identify the pending feature Tz2 of the pending segment corresponding to the subsequent three groups of fluctuation points. If |Tz1-Tz2|≤Y2, where Y2 is a preset value, then such pending segment is calibrated as a feature segment, and then the pending segment corresponding to Tz2 is used as the evaluation standard for the next group of pending segments, and the subsequent feature segments that appear one by one are confirmed and calibrated one by one.

4. The indoor magnetic field evaluation method according to claim 3, characterized in that: In step S23, if |Tz1-Tz2|>Y2, the pending segment corresponding to Tz2 is used as the standard to confirm the pending segments corresponding to the subsequent three groups of fluctuation points and confirm their related pending features Tz3, until the absolute value of the difference in the pending feature values ​​between the subsequent consecutive pending segments is ≤Y2, the feature segment is determined, and the subsequent feature segments are confirmed and calibrated one by one.

5. The indoor magnetic field evaluation method according to claim 3, characterized in that: In step S3, the specific method of selecting three groups of optimal segments is: S31. Based on the plurality of characteristic segments calibrated in each set of magnetic field parameter change curves, determine the timeline corresponding to the characteristic segment, and based on the timeline, determine the partial curves associated with the other two sets of magnetic field parameter change curves, whose timelines are consistent with the timeline: Identify the intersection of the partial curve and the calibrated characteristic segment, and identify the proportion value Z of the intersection segment corresponding to the characteristic segment. If there are multiple groups of proportion values, select the maximum value from the multiple groups of proportion values ​​as the proportion value Z. The two groups of proportion values ​​Z confirmed from the two groups of magnetic field parameter change curves are averaged and used as the characteristic parameter Z associated with this characteristic segment. S32, after confirming the characteristic parameters Z of different characteristic segments in a single set of magnetic field parameter change curves one by one, then confirming the characteristic parameters Z of different characteristic segments in the other two sets of magnetic field parameter change curves one by one, and selecting a maximum value from the confirmed sets of characteristic parameters Z as the standard feature; S33. Mark the feature segment associated with the standard feature and the three segments of the partial curve as optimal segments.

6. The indoor magnetic field evaluation method according to claim 5, characterized in that: In step S4, the specific method of locking the associated magnetic intensity interval is: S41. From the three optimal segments, the magnetic field parameters corresponding to the same moment are calibrated as CC k 、CD k and CQ k , where k represents different moments; S42, use: Confirm the associated magnetic intensity ZQ corresponding to the corresponding time k , based on the different correlated magnetic intensities ZQ corresponding to several different moments k The minimum and maximum values ​​are selected, and the associated magnetic intensity interval is constructed, and the constructed associated magnetic intensity interval is displayed.

7. The indoor magnetic field evaluation method according to claim 6, characterized in that: Also includes: S5) Based on the confirmed associated magnetic intensity interval, identify whether the maximum value in this interval exceeds a preset range. If it exceeds the preset range, generate a warning signal for display; if it does not exceed the preset range, no signal is generated, where the preset range is a preset value.

8. An indoor magnetic field evaluation system, the evaluation system operating according to the magnetic field evaluation method according to any one of claims 1 to 7, characterized in that: include: The magnetic field parameter curve construction end confirms the magnetic field parameters in the three spatial directions during the test one by one, and generates the magnetic field parameter change curves in the three different spatial directions based on the relevant timeline; The characteristic segmentation calibration end, based on the confirmed three groups of magnetic field parameter change curves, identifies the regular characteristic segments within the relevant change curves according to the line segment changes within each group of magnetic field parameter change curves, and performs relevant calibration on each group of identified characteristic segments; The optimal segment calibration end selects three optimal segments from the plurality of characteristic segments based on the plurality of characteristic segments calibrated in the corresponding magnetic field parameter change curve, based on the time lines corresponding to the relevant characteristic segments in each group of magnetic field parameter change curves, and based on the different time lines corresponding to different characteristic segments; The associated magnetic intensity confirmation terminal confirms the associated magnetic intensity of the magnetic field parameters corresponding to the three groups of optimal segments at the same time based on the confirmed three groups of optimal segments, and based on the confirmation results, locks the associated magnetic intensity interval and displays it.

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