Performance evaluation method and device for field tent

Abstract

The invention discloses a performance evaluation method and device for a field tent. The method comprises the following steps: acquiring a performance test condition information set of the field tent; according to the performance test condition information set, measuring to obtain a performance index set of the field tent under each piece of performance test condition information; performing image modeling processing on the performance test condition information set and the performance index set to obtain a meteorological image sequence and a performance image sequence; and performing fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain a comprehensive performance evaluation result value of the field tent.

Description

Technical Field

[0001] The present invention relates to the fields of performance evaluation and industrial data processing, and particularly to a method and device for evaluating the performance of a field tent. Background Art

[0002] Field tents are indispensable equipment in scenarios such as outdoor exploration, military operations, and emergency rescue. Their performance is directly related to the safety and comfort of users. However, existing methods for evaluating the performance of field tents usually only conduct performance tests in a standard laboratory environment, ignoring the impact of complex meteorological conditions (such as wind speed, precipitation, snow depth, etc.) that field tents face during actual use on their performance. Existing evaluation methods mostly focus on a single performance index (such as the wind resistance or waterproofness of the tent), lacking a comprehensive performance evaluation of the tent under multiple performance indexes (such as deformation, displacement, and bearing capacity of the support frame). Traditional evaluation methods handle test data relatively simply, lacking systematic data preprocessing and feature extraction steps. This may lead to data noise interfering with the evaluation results and reducing the accuracy of the evaluation.

[0003] At the same time, various performances of field tents are closely related to geographical location and meteorological environment factors. Existing tent evaluation and test methods do not consider geographical location factors, etc., resulting in the lack of comprehensiveness and accuracy of evaluation results.

[0004] Domestic and foreign performance tests on field tents are mainly limited to performance tests under a single meteorological environment, and lack comprehensive performance evaluation methods and devices for field tents under multiple types of meteorological and geographical conditions. Summary of the Invention

[0005] The present invention mainly solves the problem of how to evaluate the comprehensive performance of a field tent under multiple types of meteorological and geographical conditions, and discloses a method and device for evaluating the performance of a field tent.

[0006] In the first aspect of the embodiments of the present invention, a method for evaluating the performance of a field tent is disclosed, including:

[0007] S1, obtaining a set of performance test condition information of the field tent; the set of performance test condition information includes performance test condition information; the performance test condition information includes test location information and corresponding meteorological factor values; the meteorological factor values include wind speed values, precipitation, and snow depth values;

[0008] S2. According to the set of performance test condition information, measure the set of performance indicators of the field tent under each piece of performance test condition information; the set of performance indicators includes the test data sequences of the deformation values of the horizontal support frames, the deformation values of the vertical support frames, the displacement values, the number of fracture sites, and the top pressure-bearing values of the field tent; the test data sequence is a sequence constructed from the test data values obtained at several test times; each set of performance indicators has corresponding performance test condition information.

[0009] S3. Perform image modeling processing on the set of performance test condition information and the set of performance indicators to obtain a meteorological image sequence and a performance image sequence.

[0010] S4. Perform fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain the comprehensive performance evaluation result value of the field tent.

[0011] The performing image modeling processing on the set of performance test condition information and the set of performance indicators to obtain a meteorological image sequence and a performance image sequence includes:

[0012] Perform normalization processing on the meteorological factor values in the set of performance test condition information according to categories to obtain corresponding normalized meteorological factor values.

[0013] Take the wind speed value, precipitation amount, and snow depth value in the normalized meteorological factor values of the performance test condition information as the R channel value, G channel value, and B channel value of the image pixel points respectively, and take the test location information corresponding to all the normalized meteorological factor values as the two-dimensional image plane position coordinates of the image pixel points to construct the meteorological image of the performance test condition information.

[0014] Use the meteorological images of the performance test condition information corresponding to all the sets of performance indicators to construct a meteorological image sequence.

[0015] Perform first fusion calculation processing on the test data sequences of the deformation values of the horizontal support frames and the vertical support frames in each set of performance indicators to obtain the deformation sequence of the set of performance indicators; each deformation sequence has corresponding test location information.

[0016] Perform second fusion calculation processing on the test data sequences of the number of fracture sites and the top pressure-bearing values in each set of performance indicators to obtain the pressure-bearing capacity sequence of the set of performance indicators; each pressure-bearing capacity sequence has corresponding test location information.

[0017] For each test moment, the values of the deformation sequence, the bearing capacity sequence, and the test data sequence of the displacement value at the test moment are respectively used as the R-channel value, the G-channel value, and the B-channel value of the image pixel. The position information of the test location corresponding to all deformation sequences is used as the two-dimensional image plane position coordinates of the image pixel, and the performance image at the test moment is constructed;

[0018] Using the performance images of all test moments, a performance image sequence is constructed.

[0019] The first fusion calculation process includes:

[0020]

[0021] where x i is the i-th item of the test data sequence of the deformation value of the horizontal support frame, y i is the i-th item of the test data sequence of the deformation value of the vertical support frame, S i is the i-th item of the deformation sequence, K is a preset weighting factor, φ k is the k-th phase coefficient factor, φ k = π / 2k.

[0022] The second fusion calculation process includes:

[0023]

[0024] where l i is the i-th item of the test data sequence of the number of fracture parts, y i is the i-th item of the test data sequence of the top bearing pressure value, p i is the i-th item of the bearing capacity sequence, β is a preset normalization factor, N is the length of the test data sequence, l0 is the mean value of the test data sequence of the number of fracture parts, and y0 is the mean value of the test data sequence of the top bearing pressure value.

[0025] The fusion evaluation process for the meteorological image sequence and the performance image sequence to obtain the comprehensive performance evaluation result value of the field tent includes:

[0026] Performing correlation calculation processing on the meteorological image and the performance image at the same test moment in the meteorological image sequence and the performance image sequence to obtain a corresponding three-dimensional correlation value matrix;

[0027] Performing statistical processing on the performance image sequence to obtain a set of statistical values; the set of statistical values includes the mean value, variance, and median value of each pixel channel;

[0028] Obtain the maximum value in each three-dimensional correlation value matrix, and use the statistical value set to perform feature fusion calculation processing on the maximum value in the three-dimensional correlation value matrix to obtain the comprehensive performance evaluation result value of the field tent.

[0029] The expression of the related calculation processing is:

[0030] Con(i,j,k)=conv(R(i,j,k),S(i,j,k)),

[0031] where R(i,j,k) represents the pixel value of the i-th row, j-th column, and k-th channel of the meteorological image, S(i,j,k) is the pixel value of the i-th row, j-th column, and k-th channel of the performance image, and Con(i,j,k) represents the value of the j-th row and k-th column of the i-th layer of the three-dimensional correlation value matrix.

[0032] In the second aspect of the implementation of the present invention, a performance evaluation device for a field tent is disclosed. The device includes:

[0033] A memory storing executable program code;

[0034] A processor coupled to the memory;

[0035] The processor calls the executable program code stored in the memory to execute the performance evaluation method of the field tent described above.

[0036] In the third aspect of the implementation of the present invention, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, and when the computer instructions are called by the computer, they are used to execute the performance evaluation method of the field tent described above.

[0037] In the fourth aspect of the implementation of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the performance evaluation method of the field tent described above.

[0038] In the fifth aspect of the implementation of the present invention, a performance evaluation device for a field tent, which is used to implement the performance evaluation method of the field tent described above, includes: a data acquisition module, a data modeling module, and a data evaluation module;

[0039] The data acquisition module is connected to the data modeling module and is used to obtain the set of performance test condition information of the field tent; according to the set of performance test condition information, measure the set of performance indicators of the field tent under each performance test condition information;

[0040] The data modeling module is connected to the data evaluation module and is used to perform image modeling processing on the set of performance test condition information and the set of performance indicators to obtain a sequence of meteorological images and a sequence of performance images;

[0041] The data evaluation module is used to perform fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain the comprehensive performance evaluation result value of the field tent.

[0042] The beneficial effects of the present invention are as follows:

[0043] The present invention provides a method for evaluating the performance of a field tent, having the following beneficial effects:

[0044] 1. Comprehensiveness and systematicness: The present invention comprehensively considers the performance of the field tent under various meteorological conditions (wind speed, precipitation, snow depth). By measuring the deformation values of the horizontal support frames, vertical support frames, displacement values, the number of fracture sites, and the top bearing pressure values of the tent under different conditions, a comprehensive evaluation of the tent performance is achieved. Through image modeling processing, the meteorological conditions and performance indicators are respectively transformed into a meteorological image sequence and a performance image sequence, further enhancing the systematicness and scientific nature of the evaluation.

[0045] 2. Accuracy and reliability: The present invention performs systematic preprocessing and normalization processing on the meteorological factor values and performance indicator data, effectively removing data noise and improving data quality. Through the first fusion calculation processing and the second fusion calculation processing, multiple performance indicator data are fused into a deformation sequence and a bearing capacity sequence, further extracting the characteristic information of the data and enhancing the accuracy and reliability of the evaluation results.

[0046] 3. Visual presentation: The present invention realizes the visual presentation of the evaluation results by respectively transforming the meteorological factor values and performance indicator data into meteorological images and performance images. This intuitive display method facilitates evaluators to quickly understand and analyze the performance of the tent under different test conditions.

[0047] 4. Intelligence and automation: The present invention performs relevant calculation processing and feature fusion calculation processing on the meteorological image sequence and the performance image sequence through a fusion image evaluation model, realizing the full-process automation from data acquisition to the output of evaluation results. The intelligent evaluation model can automatically adjust evaluation parameters according to actual needs, improving the evaluation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a flowchart of the implementation of the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0049] To better understand the content of the present invention, an embodiment is given here.

[0050] Figure 1 It is a flowchart of the implementation of the method of the present invention.

[0051] In the first aspect of the embodiments of the present invention, a method for evaluating the performance of a field tent is disclosed, including:

[0052] S1, obtaining a set of performance test condition information of the field tent; the set of performance test condition information includes performance test condition information; the performance test condition information includes test location information and corresponding meteorological factor values; the meteorological factor values include wind speed values, precipitation, and snow depth values;

[0053] S2, measuring a set of performance indicators of the field tent under each piece of performance test condition information according to the set of performance test condition information; the set of performance indicators includes test data sequences of the deformation values of the horizontal support frames, the deformation values of the vertical support frames, displacement values, the number of fracture sites, and the top bearing pressure values of the field tent; the test data sequence is a sequence constructed by test data values obtained at a plurality of test times; each set of performance indicators has corresponding performance test condition information;

[0054] S3, performing image modeling processing on the set of performance test condition information and the set of performance indicators to obtain a meteorological image sequence and a performance image sequence;

[0055] S4, performing fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain the comprehensive performance evaluation result value of the field tent.

[0056] The performing image modeling processing on the set of performance test condition information and the set of performance indicators to obtain a meteorological image sequence and a performance image sequence includes:

[0057] Performing normalization processing on the meteorological factor values in the set of performance test condition information according to categories to obtain corresponding normalized meteorological factor values;

[0058] Taking the wind speed value, precipitation, and snow depth value in the normalized meteorological factor values of the performance test condition information as the R channel value, G channel value, and B channel value of the image pixel points respectively, and taking the test location information corresponding to all the normalized meteorological factor values as the two-dimensional image plane position coordinates of the image pixel points, to construct a meteorological image of the performance test condition information;

[0059] Using the meteorological images of the performance test condition information corresponding to all the sets of performance indicators to construct a meteorological image sequence;

[0060] Performing first fusion calculation processing on the test data sequences of the deformation values of the horizontal support frames and the vertical support frames in each set of performance indicators to obtain the deformation sequence of the set of performance indicators; each deformation sequence has corresponding test location information;

[0061] Perform a second fusion calculation process on the test data sequences of the number of fracture sites and the top bearing pressure values in each set of performance indicators to obtain the bearing capacity sequence of the set of performance indicators; each bearing capacity sequence has corresponding test location position information;

[0062] For each test moment, take the values of the deformation sequence, the bearing capacity sequence, and the test data sequence of the displacement value at the test moment as the R-channel value, G-channel value, and B-channel value of the image pixel points respectively, and take all the test location position information corresponding to the deformation sequences as the two-dimensional image plane position coordinates of the image pixel points to construct the performance image at the test moment;

[0063] Use the performance images of all test moments to construct a performance image sequence;

[0064] Each performance test condition information is in one-to-one correspondence with the test moment;

[0065] Establish a one-to-one correspondence between the images in the meteorological image sequence and the performance image sequence according to the test moment;

[0066] The first fusion calculation process includes:

[0067]

[0068] where x i is the i-th item of the test data sequence of the deformation value of the horizontal support frame, y i is the i-th item of the test data sequence of the deformation value of the vertical support frame, S i is the i-th item of the deformation sequence, K is a preset weighting factor, φ k is the k-th phase coefficient factor, φ k = π / 2k;

[0069] The second fusion calculation process includes:

[0070]

[0071] where l i is the i-th item of the test data sequence of the number of fracture sites, y i is the i-th item of the test data sequence of the top bearing pressure value, p i is the i-th item of the bearing capacity sequence, β is a preset normalization factor, N is the length of the test data sequence, and l0 is the mean value of the test data sequence of the number of fracture sites;

[0072] The fusion evaluation process of the meteorological image sequence and the performance image sequence to obtain the comprehensive performance evaluation result value of the field tent includes:

[0073] Perform correlation calculation and processing on the meteorological image and the performance image at the same test moment in the meteorological image sequence and the performance image sequence to obtain a corresponding three-dimensional correlation value matrix;

[0074] Perform statistical processing on the performance image sequence to obtain a set of statistical values; the set of statistical values includes the mean, variance, and median value of each pixel channel;

[0075] Obtain the maximum value in each three-dimensional correlation value matrix, and use the set of statistical values to perform feature fusion calculation and processing on the maximum value in the three-dimensional correlation value matrix to obtain the comprehensive performance evaluation result value of the field tent.

[0076] The expression for the correlation calculation and processing is:

[0077] Con(i,j,k) = conv(R(i,j,k), S(i,j,k)),

[0078] where R(i,j,k) represents the pixel value of the i-th row, j-th column, and k-th channel of the meteorological image, S(i,j,k) is the pixel value of the i-th row, j-th column, and k-th channel of the performance image, and Con(i,j,k) represents the value at the j-th row and k-th column of the i-th layer of the three-dimensional correlation value matrix.

[0079] The first to third channels are the R channel, G channel, and B channel respectively;

[0080] The expression for the feature fusion calculation and processing is:

[0081]

[0082] where J is the number of three-dimensional correlation value matrices, η j is the maximum value in the j-th three-dimensional correlation value matrix, is a preset multiplicative factor, hn is the comprehensive performance evaluation result value of the field tent, μ i 、v i and are the mean, variance, and median value of the i-th pixel channel respectively.

[0083] The set of statistical values is obtained by performing statistics on all images in the performance image sequence according to the pixel values of each pixel channel.

[0084] The deformation value is measured by a deformation sensor; the top pressure value is measured by a pressure sensor;

[0085] In the second aspect of the implementation of the present invention, a performance evaluation device for a field tent is disclosed, and the device includes:

[0086] A memory storing executable program code;

[0087] A processor coupled to the memory;

[0088] The processor calls the executable program code stored in the memory to execute the performance evaluation method of the field tent.

[0089] In a third aspect of the embodiments of the present invention, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, which are used to execute the performance evaluation method of the field tent when called by a computer.

[0090] In a fourth aspect of the embodiments of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the performance evaluation method of the field tent.

[0091] The above are only embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A method for evaluating the performance of a field tent, characterized in that: include: S1, obtaining a set of performance test condition information of a field tent; The performance test condition information set includes performance test condition information; The performance test condition information includes the test site location information and corresponding meteorological factor values; The meteorological factor values ​​include wind speed, precipitation, and snow depth; S2, according to the performance test condition information set, measuring and obtaining a performance indicator set of the field tent under each performance test condition information; the performance indicator set includes a test data sequence of the deformation value of the horizontal support frame, the deformation value of the vertical support frame, the displacement value, the number of fractured parts and the top pressure value of the field tent; the test data sequence is a sequence constructed by test data values ​​obtained at several test moments; each performance indicator set has corresponding performance test condition information; S3, performing image modeling processing on the performance test condition information set and the performance indicator set to obtain a meteorological image sequence and a performance image sequence; S4, performing fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain a comprehensive performance evaluation result value of the outdoor tent.

2. The performance evaluation method of a field tent as claimed in claim 1, characterized in that: The performing image modeling processing on the performance test condition information set and the performance indicator set to obtain a meteorological image sequence and a performance image sequence includes: Normalizing the meteorological factor values ​​in the performance test condition information set according to categories to obtain corresponding normalized meteorological factor values; The wind speed value, precipitation, and snow depth value in the normalized meteorological factor values ​​of the performance test condition information are used as the R channel value, G channel value, and B channel value of the image pixel points, respectively, and the test location location information corresponding to all normalized meteorological factor values ​​is used as the two-dimensional image plane position coordinates of the image pixel points to construct a meteorological image of the performance test condition information; Using the meteorological images of the performance test condition information corresponding to all performance indicator sets, a meteorological image sequence is constructed; Performing a first fusion calculation process on the test data sequence of the deformation value of the horizontal support frame and the deformation value of the vertical support frame in each performance indicator set to obtain a deformation sequence of the performance indicator set; each deformation sequence has corresponding test location location information; Performing a second fusion calculation process on the test data sequence of the number of fracture parts and the top bearing pressure value in each performance indicator set to obtain the bearing capacity sequence of the performance indicator set; each bearing capacity sequence has corresponding test location information; At each test moment, the values ​​of the test data sequences of deformation sequence, pressure bearing capacity sequence and displacement value at the test moment are respectively used as the R channel value, G channel value and B channel value of the image pixel point, and the test location position information corresponding to all deformation sequences is used as the two-dimensional image plane position coordinates of the image pixel point to construct a performance image at the test moment; Using the performance images at all test moments, a performance image sequence is constructed.

3. The performance evaluation method of a field tent as claimed in claim 2, characterized in that: The first fusion calculation process includes: Among them, x i is the i-th item of the test data sequence of the deformation value of the cross support frame, y i is the i-th item of the test data sequence of the vertical support frame deformation value, S i is the i-th item of the deformation sequence, K is the preset weighting factor, φ k is the kth phase coefficient factor, φ k =π / 2k.

4. The method for evaluating the performance of a field tent as claimed in claim 2, characterized in that: The second fusion calculation process includes: Among them, l i is the i-th item of the test data sequence of the number of fracture sites, y i is the i-th item of the test data sequence of the top pressure value, p i is the i-th item of the pressure bearing capacity sequence, β is the preset normalization factor, N is the length of the test data sequence, l0 is the mean of the test data sequence of the number of fracture locations, and y0 is the mean of the test data sequence of the top pressure bearing value.

5. The performance evaluation method of a field tent as claimed in claim 2, characterized in that: The step of performing fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain a comprehensive performance evaluation result value of the outdoor tent includes: Performing correlation calculation processing on the meteorological images and performance images at the same test time in the meteorological image sequence and the performance image sequence to obtain a corresponding three-dimensional correlation value matrix; Performing statistical processing on the performance image sequence to obtain a statistical value set; the statistical value set includes a mean value, a variance and a median value of each pixel channel; The maximum value in each three-dimensional correlation value matrix is ​​obtained, and the statistical value set is used to perform feature fusion calculation processing on the maximum value in the three-dimensional correlation value matrix to obtain a comprehensive performance evaluation result value of the outdoor tent.

6. The performance evaluation method of a field tent as claimed in claim 5, characterized in that: The expression of the related calculation process is: Con(i,j,k)=conv(R(i,j,k),S(i,j,k)), Among them, R(i,j,k) represents the pixel value of the i-th row, j-th column, and k-th channel of the meteorological image, S(i,j,k) represents the pixel value of the i-th row, j-th column, and k-th channel of the performance image, and Con(i,j,k) represents the value of the j-th row and k-th column of the i-th layer of the three-dimensional correlation value matrix.

7. A performance evaluation device for a field tent, characterized in that: A method for evaluating the performance of a field tent according to any one of claims 1 to 6, comprising: a data acquisition module, a data modeling module and a data evaluation module; The data acquisition module is connected to the data modeling module and is used to obtain a set of performance test condition information of a field tent; based on the set of performance test condition information, a set of performance indicators of the field tent under each performance test condition information is measured; The data modeling module is connected to the data evaluation module and is used to perform image modeling processing on the performance test condition information set and the performance indicator set to obtain a meteorological image sequence and a performance image sequence; The data evaluation module is used to perform fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain a comprehensive performance evaluation result value of the outdoor tent.

8. A performance evaluation device for a field tent, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the performance evaluation method for a field tent according to any one of claims 1 to 6.

9. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the performance evaluation method of a field tent according to any one of claims 1 to 6.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the performance evaluation method of a field tent as described in any one of claims 1 to 6.

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