A method and apparatus for evaluating the performance of a field tent

Abstract

This invention discloses a method and apparatus for evaluating the performance of a field tent. The method includes: acquiring a set of performance test condition information for the field tent; measuring a set of performance indicators for the field tent under each performance test condition based on the set of performance test condition information; 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; and performing fusion evaluation processing on the meteorological image sequence and the performance image sequence to obtain a comprehensive performance evaluation result value for the field tent.

Description

Technical Field

[0001] This invention relates to the fields of performance evaluation and industrial data processing, and specifically to a method and apparatus for evaluating the performance of a field tent. Background Technology

[0002] Outdoor tents are indispensable equipment in outdoor adventures, military operations, and emergency rescue scenarios, and their performance directly affects the safety and comfort of users. However, existing performance evaluation methods for outdoor tents typically only conduct performance tests in standard laboratory environments, neglecting the impact of complex weather conditions (such as wind speed, precipitation, and snow depth) encountered in actual use. Existing evaluation methods often focus on single performance indicators (such as wind resistance or waterproofing), lacking a comprehensive performance evaluation of tents under multiple performance indicators (such as support frame deformation, displacement, and load-bearing capacity). Traditional evaluation methods handle test data in a relatively simple manner, lacking systematic data preprocessing and feature extraction steps. This can lead to data noise interfering with the evaluation results and reducing the accuracy of the assessment.

[0003] Meanwhile, the various performance characteristics of outdoor tents are closely related to their geographical location and meteorological environment. Existing tent evaluation and testing methods do not take geographical location factors into account, resulting in a lack of comprehensiveness and accuracy in the evaluation results.

[0004] Performance testing of outdoor tents, both domestically and internationally, is mainly limited to performance testing under single weather conditions, and there is a lack of comprehensive performance evaluation methods and devices for outdoor tents under multiple weather and geographical conditions. Summary of the Invention

[0005] This invention primarily addresses the problem of evaluating the comprehensive performance of outdoor tents under various weather and geographical conditions. The invention discloses a method and apparatus for evaluating the performance of outdoor tents.

[0006] In a first aspect, the present invention discloses a method for evaluating the performance of a field tent, comprising:

[0007] S1, acquire a set of performance test condition information for outdoor tents; 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, precipitation, and snow depth.

[0008] S2, based on the performance test condition information set, measure the performance index set of the outdoor tent under each performance test condition information; the performance index set includes a test data sequence of the horizontal support frame deformation value, vertical support frame deformation value, displacement value, number of fracture points, and top pressure value of the outdoor tent; the test data sequence is a sequence constructed from the test data values ​​obtained at several test moments; each performance index set has corresponding performance test condition information;

[0009] S3, perform image modeling processing on the performance test condition information set and performance index set to obtain meteorological image sequence and 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 step of performing image modeling processing on the performance test condition information set and performance index set to obtain meteorological image sequences and performance image sequences includes:

[0012] The meteorological factor values ​​in the performance test condition information set are normalized according to their categories to obtain the corresponding normalized meteorological factor values.

[0013] The wind speed, precipitation, and snow depth values ​​in the normalized meteorological factor values ​​of the performance test conditions information are used as the R channel, G channel, and B channel values ​​of the image pixels, respectively. The test location information corresponding to all normalized meteorological factor values ​​is used as the two-dimensional image plane position coordinates of the image pixels to construct the meteorological image of the performance test conditions information.

[0014] A meteorological image sequence is constructed using meteorological images of performance test conditions corresponding to all performance index sets;

[0015] The test data sequences of the horizontal support frame deformation values ​​and the vertical support frame deformation values ​​in each performance index set are subjected to a first fusion calculation process to obtain the deformation sequence of the performance index set; each deformation sequence has corresponding test location information;

[0016] A second fusion calculation is performed on the test data sequence of the number of fracture sites and the top pressure value in each performance index set to obtain the pressure bearing capacity sequence of the performance index set; each pressure bearing capacity sequence has corresponding test location information;

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

[0018] A performance image sequence is constructed using the performance images from all test moments.

[0019] The first fusion computing process includes:

[0020]

[0021] Where, x i For the i-th item in the test data sequence of the deformation value of the transverse support frame, y i S is the i-th item in the test data sequence of the deformation value of the vertical support frame. i Let φ be the i-th term of the deformation sequence, K be a preset weighting factor, and φ be the weighting factor. k Let φ be the k-th phase coefficient factor. k =π / 2k.

[0022] The second fusion computing process includes:

[0023]

[0024] Among them, l i For the i-th item in the test data sequence representing the number of fracture sites, y i For the i-th item in the test data sequence of the top pressure value, p i y0 is the i-th term 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 sites, and y0 is the mean of the test data sequence of the top pressure value.

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

[0026] Correlation calculations are performed on meteorological images and performance images at the same test time in the meteorological image sequence and performance image sequence to obtain the corresponding three-dimensional correlation value matrix;

[0027] The performance image sequence is statistically processed to obtain a set of statistical values; the set of statistical values ​​includes the mean, variance, and median value of each pixel channel.

[0028] The maximum value in each three-dimensional correlation value matrix is ​​obtained. Using the statistical value set, feature fusion calculation is performed on the maximum value in the three-dimensional correlation value matrix to obtain the comprehensive performance evaluation result of the outdoor tent.

[0029] The expression for the relevant calculation and 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) 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 matrix.

[0032] According to a second aspect of the present invention, a performance evaluation device for a field tent is disclosed, the device comprising:

[0033] Memory containing 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 for the outdoor tent.

[0036] In a third aspect, the present invention discloses a computer-storable medium storing computer instructions, which, when invoked by a computer, are used to execute the performance evaluation method for a field tent.

[0037] In a fourth aspect, the present invention discloses an information data processing terminal, which is used to implement the performance evaluation method for the outdoor tent.

[0038] According to a fifth aspect of the present invention, a performance evaluation device for a field tent is provided for implementing the aforementioned performance evaluation method for a field tent, comprising: 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 acquire a set of performance test condition information for the outdoor tent; based on the set of performance test condition information, the set of performance indicators of the outdoor tent under each performance test condition information is measured.

[0040] 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 performance index set to obtain meteorological image sequences and performance image sequences.

[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 this invention are as follows:

[0043] This invention provides a method for evaluating the performance of outdoor tents, which has the following beneficial effects:

[0044] 1. Comprehensiveness and Systemic Approach: This invention comprehensively considers the performance of outdoor tents under various meteorological conditions (wind speed, precipitation, snow depth). By measuring the deformation values ​​of the horizontal support frame, vertical support frame, displacement, number of fracture points, and top pressure under different conditions, a comprehensive evaluation of tent performance is achieved. Through image modeling processing, meteorological conditions and performance indicators are transformed into meteorological image sequences and performance image sequences, respectively, further enhancing the systematic and scientific nature of the evaluation.

[0045] 2. Accuracy and Reliability: This invention systematically preprocesses and normalizes meteorological factor values ​​and performance index data, effectively removing data noise and improving data quality. Through first and second fusion calculation processes, multiple performance index data are fused into deformation sequences and bearing capacity sequences, further extracting the characteristic information of the data and enhancing the accuracy and reliability of the evaluation results.

[0046] 3. Visual Presentation: This invention achieves a visual presentation of the evaluation results by converting meteorological factor values ​​and performance index data into meteorological images and performance images, respectively. This intuitive display method facilitates assessors' quick understanding and analysis of the tent's performance under different test conditions.

[0047] 4. Intelligence and Automation: This invention utilizes a fusion image evaluation model to perform relevant calculations and feature fusion calculations on meteorological image sequences and performance image sequences, achieving full automation from data acquisition to evaluation result output. The intelligent evaluation model can automatically adjust evaluation parameters according to actual needs, improving evaluation efficiency. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating the implementation of the method of the present invention. Detailed Implementation

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

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

[0051] In a first aspect, the present invention discloses a method for evaluating the performance of a field tent, comprising:

[0052] S1, acquire a set of performance test condition information for outdoor tents; 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, precipitation, and snow depth.

[0053] S2, based on the performance test condition information set, measure the performance index set of the outdoor tent under each performance test condition information; the performance index set includes a test data sequence of the horizontal support frame deformation value, vertical support frame deformation value, displacement value, number of fracture points, and top pressure value of the outdoor tent; the test data sequence is a sequence constructed from the test data values ​​obtained at several test moments; each performance index set has corresponding performance test condition information;

[0054] S3, perform image modeling processing on the performance test condition information set and performance index set to obtain meteorological image sequence and performance image sequence;

[0055] 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.

[0056] The step of performing image modeling processing on the performance test condition information set and performance index set to obtain meteorological image sequences and performance image sequences includes:

[0057] The meteorological factor values ​​in the performance test condition information set are normalized according to their categories to obtain the corresponding normalized meteorological factor values.

[0058] The wind speed, precipitation, and snow depth values ​​in the normalized meteorological factor values ​​of the performance test conditions information are used as the R channel, G channel, and B channel values ​​of the image pixels, respectively. The test location information corresponding to all normalized meteorological factor values ​​is used as the two-dimensional image plane position coordinates of the image pixels to construct the meteorological image of the performance test conditions information.

[0059] A meteorological image sequence is constructed using meteorological images of performance test conditions corresponding to all performance index sets;

[0060] The test data sequences of the horizontal support frame deformation values ​​and the vertical support frame deformation values ​​in each performance index set are subjected to a first fusion calculation process to obtain the deformation sequence of the performance index set; each deformation sequence has corresponding test location information;

[0061] A second fusion calculation is performed on the test data sequence of the number of fracture sites and the top pressure value in each performance index set to obtain the pressure bearing capacity sequence of the performance index set; each pressure bearing capacity sequence has corresponding test location information;

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

[0063] A performance image sequence is constructed using the performance images from all test moments;

[0064] Each performance test condition corresponds one-to-one with the test time.

[0065] A one-to-one correspondence is established between the images in the meteorological image sequence and the performance image sequence based on the test time.

[0066] The first fusion computing process includes:

[0067]

[0068] Where, x i For the i-th item in the test data sequence of the deformation value of the transverse support frame, y i S is the i-th item in the test data sequence of the deformation value of the vertical support frame. i Let φ be the i-th term of the deformation sequence, K be a preset weighting factor, and φ be the weighting factor. k Let φ be the k-th phase coefficient factor. k =π / 2k;

[0069] The second fusion computing process includes:

[0070]

[0071] Among them, l i For the i-th item in the test data sequence representing the number of fracture sites, y i For the i-th item in the test data sequence of the top pressure value, p i , where is the i-th term of the pressure bearing capacity sequence, β is the preset normalization factor, N is the length of the test data sequence, and l0 is the mean of the test data sequence for the number of fracture sites.

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

[0073] Correlation calculations are performed on meteorological images and performance images at the same test time in the meteorological image sequence and performance image sequence to obtain the corresponding three-dimensional correlation value matrix;

[0074] The performance image sequence is statistically processed to obtain a set of statistical values; the set of statistical values ​​includes the mean, variance, and median value of each pixel channel.

[0075] The maximum value in each three-dimensional correlation value matrix is ​​obtained. Using the statistical value set, feature fusion calculation is performed on the maximum value in the three-dimensional correlation value matrix to obtain the comprehensive performance evaluation result of the outdoor tent.

[0076] The expression for the relevant 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) 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 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 is:

[0081]

[0082] Where J is the number of three-dimensional correlation value matrices, η j The maximum value in the j-th three-dimensional correlation matrix. Here, μ is a preset multiplicative factor, hn is the comprehensive performance evaluation result value of the outdoor tent, and μ is the multiplicative factor. i v i and denoted as mean, variance, and median values ​​for the i-th pixel channel, respectively.

[0083] The statistical value set is obtained by statistically analyzing 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 pressure value at the top is measured by a pressure sensor.

[0085] According to a second aspect of the present invention, a performance evaluation device for a field tent is disclosed, the device comprising:

[0086] Memory containing 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 for the outdoor tent.

[0089] In a third aspect, the present invention discloses a computer-storable medium storing computer instructions, which, when invoked by a computer, are used to execute the performance evaluation method for a field tent.

[0090] In a fourth aspect, the present invention discloses an information data processing terminal, which is used to implement the performance evaluation method for the outdoor tent.

[0091] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should 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, Obtain the set of performance test condition information for outdoor tents; The performance test condition information set includes performance test condition information; The performance test condition information includes the test location information and the corresponding meteorological factor values; The meteorological factor values ​​include wind speed, precipitation, and snow depth. S2, based on the performance test condition information set, measure the performance index set of the outdoor tent under each performance test condition information; the performance index set includes a test data sequence of the horizontal support frame deformation value, vertical support frame deformation value, displacement value, number of fracture points, and top pressure value of the outdoor tent; the test data sequence is a sequence constructed from the test data values ​​obtained at several test moments; each performance index set has corresponding performance test condition information; S3, perform image modeling processing on the performance test condition information set and performance index set to obtain meteorological image sequence and performance image sequence; 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; The step of performing image modeling processing on the performance test condition information set and performance index set to obtain meteorological image sequences and performance image sequences includes: The meteorological factor values ​​in the performance test condition information set are normalized according to their categories to obtain the corresponding normalized meteorological factor values. The wind speed, precipitation, and snow depth values ​​in the normalized meteorological factor values ​​of the performance test conditions information are used as the R channel, G channel, and B channel values ​​of the image pixels, respectively. The test location information corresponding to all normalized meteorological factor values ​​is used as the two-dimensional image plane position coordinates of the image pixels to construct the meteorological image of the performance test conditions information. A meteorological image sequence is constructed using meteorological images of performance test conditions corresponding to all performance index sets; The test data sequences of the horizontal support frame deformation values ​​and the vertical support frame deformation values ​​in each performance index set are subjected to a first fusion calculation process to obtain the deformation sequence of the performance index set; each deformation sequence has corresponding test location information; A second fusion calculation is performed on the test data sequence of the number of fracture sites and the top pressure value in each performance index set to obtain the pressure bearing capacity sequence of the performance index set; each pressure bearing capacity sequence has corresponding test location information; For each test moment, the test data sequences of deformation sequence, bearing capacity sequence, and displacement value are taken as the R channel value, G channel value, and B channel value of the image pixel, respectively. The test location information corresponding to all deformation sequences is taken as the two-dimensional image plane position coordinates of the image pixel to construct the performance image at the test moment. A performance image sequence is constructed using the performance images from all test moments.

2. The performance evaluation method for a field tent as described in claim 1, characterized in that, The first fusion computing process includes: Where, x i For the i-th item in the test data sequence of the deformation value of the transverse support frame, y i S is the i-th item in the test data sequence of the deformation value of the vertical support frame. i Let φ be the i-th term of the deformation sequence, K be a preset weighting factor, and φ be the weighting factor. k Let φ be the k-th phase coefficient factor. k =π / 2k.

3. The performance evaluation method for a field tent as described in claim 1, characterized in that, The second fusion computing process includes: Among them, l i For the i-th item in the test data sequence representing the number of fracture sites, y i For the i-th item in the test data sequence of the top pressure value, p i y0 is the i-th term 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 sites, and y0 is the mean of the test data sequence of the top pressure value.

4. The performance evaluation method for a field tent as described in claim 1, characterized in that, The process of fusing and evaluating the meteorological image sequence and the performance image sequence to obtain the comprehensive performance evaluation result value of the field tent includes: Correlation calculations are performed on meteorological images and performance images at the same test time in the meteorological image sequence and performance image sequence to obtain the corresponding three-dimensional correlation value matrix; The performance image sequence is statistically processed to obtain a set of statistical values; the set of statistical values ​​includes the mean, variance, and median value of each pixel channel. The maximum value in each three-dimensional correlation value matrix is ​​obtained. Using the statistical value set, feature fusion calculation is performed on the maximum value in the three-dimensional correlation value matrix to obtain the comprehensive performance evaluation result of the outdoor tent.

5. The performance evaluation method for a field tent as described in claim 4, characterized in that, The expression for the relevant calculation and processing is: Con(i,j,k)=conv(R(i,j,k),S(i,j,k)), 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) 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 matrix.

6. A performance evaluation device for a field tent, characterized in that, The method for evaluating the performance of a field tent as described in any one of claims 1 to 5 includes: 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 acquire a set of performance test condition information for the outdoor tent; based on the set of performance test condition information, the set of performance indicators of the outdoor 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 performance index set to obtain meteorological image sequences and performance image sequences. 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.

7. A performance evaluation device for a field tent, characterized in that, The device includes: Memory containing 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 as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which, when invoked by a computer, are used to execute the performance evaluation method for a field tent as described in any one of claims 1 to 5.

9. An information data processing terminal, characterized in that, The information data processing terminal is used to implement the performance evaluation method for outdoor tents as described in any one of claims 1 to 5.

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