A wireless transmission system for field observation data applicable to special environments

Abstract

A wireless transmission system for field observation data applicable to special environments according to the present invention relates to the field of wireless communication technology. Based on the mountain terrain survey information, a tree topology structure is constructed, and the field observation data corresponding to each node in the tree topology structure is analyzed to obtain the current transmission evaluation value, thereby not only reflecting the degree of difference between the environmental humidity data check code received by the root node and the environmental humidity data check code transmitted by the leaf node, but also reflecting the integrity of the data during the transmission process, so as to comprehensively evaluate the quality of data transmission in the current special field environment, and thus reflect whether the current special field environment is suitable for data transmission.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and particularly relates to a wireless transmission system for field observation data applicable to special environments. Background Art

[0002] In the current era of rapid technological development, the demand for data monitoring and transmission in special field environments is increasing day by day. As a typical special field environment, mountainous areas bring many challenges to wireless data transmission due to their complex terrains and changing climatic conditions.

[0003] In the prior art, when it is necessary to transmit field observation data through a wireless transmission method, the influence of humidity changes in mountainous areas on wireless signal transmission is significant. When the humidity is relatively high, the water vapor content in the air increases, which will cause the wireless signal to scatter and absorb during propagation, resulting in signal strength attenuation and seriously affecting the quality of data transmission. Therefore, based on the mountain terrain survey information, a tree-shaped topology structure is constructed, and the field observation data corresponding to each node in the tree-shaped topology structure is analyzed to evaluate whether the current special field environment is suitable for data transmission. If not, the comprehensive influence of the humidity change in the field environment on the data transmission is analyzed through the correlation degree between the humidity change and the data transmission error rate. Finally, for the signals with unsuitable transmission, the check codes in the humidity check comparison group are extracted as inputs, and the single-link check value is calculated through the Hamming distance method, and the sizes are compared. The minimum single-link check value is extracted as the transmission preference value, and the humidity check comparison group is used as the wireless transmission path, so as to solve the problem of low integrity and accuracy of data wireless transmission caused by humidity in special field environments according to the measured field observation data. Summary of the Invention

[0004] The purpose of the present invention is to provide a wireless transmission system for field observation data applicable to special environments to solve at least one of the above-mentioned prior art problems.

[0005] In a first aspect, a wireless transmission system for field observation data applicable to special environments includes:

[0006] A topology construction module: obtaining a root node, intermediate nodes, and leaf nodes according to mountain terrain survey information, and constructing a tree-shaped topology structure based on the root node, intermediate nodes, and leaf nodes;

[0007] An environment evaluation module: comprehensively evaluating data transmission from the aspects of integrity and dislocation of check codes based on the humidity data of each node in the tree-shaped topology structure to obtain signals with unsuitable transmission;

[0008] Association analysis module: Based on the transmission of inappropriate signals, construct a periodic error code change curve and a periodic humidity change curve respectively, and analyze the correlation degree between humidity data and data transmission from the aspects of curve slope and curve endpoints to obtain closely correlated signals;

[0009] Transmission optimization module: Based on the closely correlated signals, for the inappropriate transmission signals, obtain the transmission optimization value, and according to the transmission optimization value, screen out the optimal wireless data transmission path.

[0010] Further solution of the present invention: According to the mountain terrain survey information, take the mountaintop area as the root node, the ridge area as the intermediate node, and the mountain observation points as the leaf nodes respectively, and construct a tree topology structure in the connection order of leaf node → intermediate node → root node.

[0011] Further solution of the present invention: Combine the received check codes of the root node with the sent check codes of each leaf node to obtain multiple humidity check comparison groups;

[0012] Take the check codes within all humidity check comparison groups as inputs, calculate through the Hamming distance method, and perform averaging processing to output the check difference value.

[0013] Further solution of the present invention: Combine the received CRC codes of the root node with the sent CRC codes of each leaf node to obtain multiple humidity CRC code comparison groups;

[0014] Take the CRC codes within all humidity CRC code comparison groups as inputs, calculate through the cyclic redundancy check method, and perform averaging processing to output the bit error rate.

[0015] Further solution of the present invention: Perform a summation calculation on the check difference value and the bit error rate to obtain the current transmission evaluation value;

[0016] If the current transmission evaluation value is less than the current evaluation threshold, generate an inappropriate transmission signal.

[0017] Further solution of the present invention: Set the observation period and divide it into multiple observation time points;

[0018] Construct a periodic error code change curve with the bit error rate corresponding to each observation time point within the observation period;

[0019] Construct a periodic humidity change curve with the average environmental humidity corresponding to each observation time point within the observation period.

[0020] A further solution of the present invention: within the periodic error code change curve and the periodic humidity change curve, the line segments between adjacent peak coordinates and valley coordinates are respectively used as the periodic humidity sub-curves and the periodic humidity sub-curves, the corresponding slopes are obtained and used as inputs, and the Euclidean calculation method is used for output to obtain the trend correlation value.

[0021] A further solution of the present invention: the endpoint Y coordinates of the periodic humidity sub-curve and the periodic humidity sub-curve are respectively obtained, and after corresponding subtraction, a ratio calculation is performed to obtain the analysis sub-coefficient.

[0022] A further solution of the present invention: the trend correlation value and the correlation degree coefficient are summed to obtain the correlation influence value;

[0023] If the correlation influence value is less than the correlation influence threshold, a correlation tight signal is generated.

[0024] A further solution of the present invention: for the transmission of inappropriate signals, the check codes within the humidity verification comparison group are extracted as inputs, and the Hamming distance method is used for calculation to obtain the single-link verification value;

[0025] All single-link verification values are compared in size, the single-link verification minimum value is extracted as the transmission preference value, and the humidity verification comparison group is used as the wireless transmission path.

[0026] The beneficial effects of the present invention:

[0027] Based on the mountainous terrain survey information, the present invention constructs a tree topology structure, analyzes the field observation data corresponding to each node within the tree topology structure to obtain the current transmission evaluation value, which not only reflects the difference degree between the environmental humidity data check code received by the root node and the environmental humidity data check codes transmitted by each leaf node, but also reflects the integrity of the data during the transmission process, thereby comprehensively evaluating the quality of data transmission in the current special field environment, and thus reflecting whether the current special field environment is suitable for data transmission;

[0028] Based on the environmental evaluation results, the present invention analyzes the influence degree of the field environmental humidity data and data transmission from two different dimensions of the correlation trend and the correlation degree to obtain the correlation influence value, thereby reflecting the comprehensive influence of the correlation degree between the humidity change and the data transmission error rate in the field environment on data transmission through the correlation influence value, and thus reflecting that on the basis of field observation data, the influence degree of the special field environment on the field observation data during transmission can be further deduced;

[0029] Based on closely related signals, for the transmission of inappropriate signals, the present invention extracts the check codes within the humidity verification comparison group as inputs, calculates through the Hamming distance method to obtain the single-link verification value, conducts a size comparison, extracts the minimum single-link verification value as the transmission preference value, and uses the humidity verification comparison group as the wireless transmission path, thereby solving the problem of low integrity and accuracy of data wireless transmission caused by humidity in the special outdoor environment according to the measured outdoor observation data. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0031] Figure 1 is a schematic diagram of a wireless transmission system for outdoor observation data applicable to special environments according to the present invention;

[0032] Figure 2 is a flowchart of a method for wirelessly transmitting outdoor observation data applicable to special environments according to the present invention;

[0033] Figure 3 is a schematic diagram of the tree topology structure constructed in the first embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] In order to enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] Embodiment 1: As Figures 1-3 shown, a wireless transmission system for outdoor observation data applicable to special environments provided by an embodiment of the present invention, wherein the special outdoor environment includes mountainous areas. When wirelessly transmitting data for the special environment of mountainous areas, it is particularly necessary to monitor the humidity changes in mountainous areas at different times. The main reason is that when the humidity in mountainous areas is relatively high, the water vapor content in the air will increase. Specifically, when the water vapor content in the air increases, it will cause scattering and absorption of wireless signals during the propagation process. Especially for high-frequency signals, their wavelengths are shorter and they are more easily affected by water vapor, resulting in signal strength attenuation. The specific modules are as follows:

[0036] Topology construction module: Identify regions in the mountainous area based on the mountainous terrain survey information to obtain root nodes, intermediate nodes, and leaf nodes, and construct a tree-shaped topology based on the root nodes, intermediate nodes, and leaf nodes;

[0037] Among them, the mountainous terrain survey information includes mountaintop areas, ridge areas, and mountain observation points;

[0038] In some embodiments, extract the mountaintop area from the mountainous terrain survey information as the root node;

[0039] Extract the ridge area from the mountainous terrain survey information as the intermediate node;

[0040] Extract the mountain observation points from the mountainous terrain survey information as the leaf nodes;

[0041] It should be noted that the purpose of selecting the mountaintop area as the root node is: to obtain a wider signal coverage range, reduce the signal blockage by the mountain body, and facilitate communication with other nodes;

[0042] The purpose of selecting the ridge area as the intermediate node is: to effectively receive signals from the mountain observation points and transmit the signals from the mountain observation points to the root node to ensure reliable signal transmission;

[0043] Based on the determined root nodes, intermediate nodes, and leaf nodes, construct a tree-shaped topology according to the connection order of leaf nodes → intermediate nodes → root nodes;

[0044] Specifically, the root node, as the core of the network, connects multiple intermediate nodes, and each intermediate node connects multiple leaf nodes respectively. After the data is collected from the leaf nodes, it is transmitted to the root node step by step through the intermediate nodes, and the root node aggregates the data and sends it to the external network or data processing center;

[0045] Environmental assessment module: Obtain the field observation data corresponding to each node in the tree-shaped topology, and analyze according to the field observation data of each node to evaluate the quality of data transmission in the current special field environment to obtain an environmental assessment result;

[0046] Among them, the environmental assessment result includes a suitable signal for transmission or an unsuitable signal for transmission;

[0047] In some embodiments, randomly select a node from the tree-shaped topology and obtain the corresponding field observation data through the humidity sensor installed at the node;

[0048] Among them, the field observation data includes, but is not limited to, environmental humidity data sets;

[0049] Exemplarily, extract the check code of the environmental humidity data received by the root node, as well as the check codes of the environmental humidity data transmitted by all leaf nodes, and combine the check code of the environmental humidity data received by the root node with the check codes of the environmental humidity data transmitted corresponding to each leaf node respectively to obtain multiple humidity check comparison groups;

[0050] Arbitrarily select a humidity check comparison group from multiple humidity check comparison groups;

[0051] Take the check codes within all humidity check comparison groups as inputs, calculate through the Hamming distance method, and perform averaging processing, and output to obtain a check difference value;

[0052] It should be noted that analyzing the check codes within multiple humidity check comparison groups through the Hamming distance method aims to: The Hamming distance method is essentially used to measure the difference degree between two check codes during data transmission. By comparing the check code of the environmental humidity data received by the root node and the check codes of the environmental humidity data transmitted by each leaf node, it reflects the link quality from different leaf nodes to the root node during data transmission, which helps to identify the transmission quality of the leaf nodes, and further determines whether the current area where the leaf nodes are located is suitable for data transmission work;

[0053] Exemplarily, extract the CRC code of the environmental humidity data received by the root node, as well as the CRC codes of the environmental humidity data transmitted by all leaf nodes, and combine the CRC code of the environmental humidity data received by the root node with the CRC codes of the environmental humidity time transmitted corresponding to each leaf node respectively to obtain multiple humidity CRC code comparison groups;

[0054] Arbitrarily select a humidity CRC code comparison group from multiple humidity CRC code comparison groups;

[0055] Take the CRC codes within all humidity CRC code comparison groups as inputs, calculate through the cyclic redundancy check method, and perform averaging processing, and output to obtain an error rate;

[0056] The purpose of processing the CRC codes within the humidity CRC code comparison groups through the cyclic redundancy check method is to: be used to detect whether data has errors during data transmission. Based on the principle of polynomial division, specifically, the sending end regards the data bit sequence to be transmitted as the coefficients of a polynomial, and then divides this data polynomial by a pre-selected generating polynomial. The remainder obtained is the CRC code. If the remainder is zero, it is considered that the data has not had an error during transmission; if the remainder is not zero, it indicates that the data has an error;

[0057] Perform a summation calculation on the check difference value and the error rate to obtain the current transmission evaluation value;

[0058] It can be understood that the meaning of the current transmission evaluation value is as follows: it is used to comprehensively evaluate the data transmission quality from the leaf nodes to the root node in the tree topology structure and the suitability of the current field environment for data transmission. On the one hand, the difference degree between the environmental humidity data check code received by the root node and the environmental humidity data check code transmitted by the leaf nodes is reflected through the verification difference value. On the other hand, the bit error rate reflects the integrity of the data during the transmission process, so as to comprehensively evaluate the quality of data transmission in the current special field environment, and thus reflect whether the current special field environment is suitable for data transmission;

[0059] Compare the current transmission evaluation value with the current transmission evaluation threshold, and the process is as follows:

[0060] If the current transmission evaluation value is greater than or equal to the current evaluation threshold, it indicates that the data transmission accuracy from the leaf nodes to the root node is relatively high and the data integrity degree is relatively high, and a transmission suitability signal is generated;

[0061] If the current transmission evaluation value is less than the current evaluation threshold, it indicates that the data transmission accuracy from the leaf nodes to the root node is relatively low and the data integrity degree is relatively low, and a transmission inappropriateness signal is generated;

[0062] The specific implementation scheme of the embodiment of the present invention is as follows: according to the mountain terrain survey information, construct a tree topology structure, analyze the field observation data corresponding to each node in the tree topology structure, and obtain the current transmission evaluation value, so as to not only reflect the difference degree between the environmental humidity data check code received by the root node and the environmental humidity data check codes transmitted by each leaf node, but also reflect the integrity of the data during the transmission process, so as to comprehensively evaluate the quality of data transmission in the current special field environment, and thus reflect whether the current special field environment is suitable for data transmission.

[0063] Embodiment 2: A wireless transmission system for field observation data applicable to a special environment provided by the embodiment of the present invention specifically further includes the following modules:

[0064] Correlation analysis module: Based on the environmental evaluation result, analyze the influence degree of the field environment on data transmission according to the field observation data, and obtain the correlation analysis result;

[0065] Among them, the correlation analysis result includes a correlation tight signal or a correlation small influence signal;

[0066] In some embodiments, set an observation period, and divide the observation period into several observation time points with equal time intervals;

[0067] Extract the bit error rate corresponding to each observation time point;

[0068] Among them, the bit error rate corresponding to each observation time point is obtained by taking the CRC code in the humidity CRC code comparison group as the input, calculating through the cyclic redundancy check method, and performing averaging processing;

[0069] Perform a sum mean calculation on multiple environmental humidity data groups corresponding to the observation time point to obtain the environmental humidity mean value;

[0070] Substitute the bit error rate corresponding to each observation time point within the observation period into a two-dimensional coordinate system, with the X-axis as time and the Y-axis as the bit error rate, to construct a periodic bit error change curve;

[0071] Substitute the environmental humidity mean value corresponding to each observation time point within the observation period into a two-dimensional coordinate system, with the X-axis as time and the Y-axis as the environmental humidity mean value, to construct a periodic humidity change curve;

[0072] Within the periodic bit error change curve, extract all peak coordinates and trough coordinates, and use the line segment between adjacent peak coordinates and trough coordinates as a periodic bit error sub-curve to obtain multiple periodic bit error sub-curves, and respectively obtain the corresponding slopes through the slope calculation formula;

[0073] Within the periodic humidity change curve, extract all peak coordinates and trough coordinates, and use the line segment between adjacent peak coordinates and trough coordinates as a periodic humidity sub-curve to obtain multiple periodic humidity sub-curves, and respectively obtain the corresponding slopes through the slope calculation formula;

[0074] Combine the slopes corresponding to the periodic bit error sub-curves with the slopes corresponding to the periodic humidity sub-curves to obtain multiple sub-curve slope analysis groups;

[0075] It should be noted that the periodic bit error sub-curve and the periodic humidity sub-curve within the sub-curve slope analysis group are line segments between the same adjacent observation time points in the time dimension;

[0076] Take multiple sub-curve slope analysis groups as the input, and use the Euclidean calculation method for output to obtain the trend correlation value;

[0077] Among them, the Euclidean calculation formula is: , calculate to obtain the trend correlation value Among them, n represents the total number of sub-curve slope analysis groups, represents the slope corresponding to the periodic bit error sub-curve within the i-th sub-curve slope analysis group, represents the slope corresponding to the periodic humidity sub-curve within the i-th sub-curve slope analysis group;

[0078] Within any sub-curve slope analysis group, extract the Y coordinate of the end point of the periodic bit error sub-curve and the Y coordinate of the end point of the periodic humidity sub-curve;

[0079] It should be noted that the endpoint coordinates of the periodic bit error sub-curve include the starting point Y coordinate and the ending point Y coordinate of the periodic bit error sub-curve, and the endpoint coordinates of the periodic humidity sub-curve include the starting point Y coordinate and the ending point Y coordinate of the periodic humidity sub-curve;

[0080] Subtract the Y coordinate of the starting point of the periodic bit error sub-curve from the Y coordinate of the starting point of the periodic humidity sub-curve to obtain the starting point difference;

[0081] Subtract the Y coordinate of the end point of the periodic humidity sub-curve from the Y coordinate of the end point of the periodic humidity sub-curve to obtain the end point difference;

[0082] Calculate the ratio of the starting point difference to the end point difference to obtain the analysis sub-coefficient;

[0083] Calculate the standard deviation of the analysis sub-coefficients corresponding to the analysis groups of all sub-curve slopes to obtain the correlation coefficient;

[0084] The trend correlation value and the correlation degree coefficient are summed up to obtain the correlation impact value;

[0085] It can be understood that the meaning of the correlation impact value is: reflecting the comprehensive impact of the correlation between the humidity change in the field environment and the data transmission bit error rate on the data transmission. On the one hand, the trend correlation value measures the correlation trend of the slope of the periodic bit error sub-curve and the periodic humidity sub-curve through the Euclidean calculation method, reflecting the trend correlation of the bit error rate and humidity over time. On the other hand, the correlation coefficient measures the change of the Y coordinate difference between the end points of the periodic bit error sub-curve and the periodic humidity sub-curve by calculating the standard deviation of the analysis sub-coefficient, reflecting the correlation between the change amplitude of humidity and the bit error rate at different time points, thereby reflecting that the influence of the special field environment on the field observation data during transmission can be further inferred based on the field observation data.

[0086] The association impact value is compared to the association impact threshold as follows:

[0087] If the correlation influence value is greater than or equal to the correlation influence threshold, it means that the relationship between the field environment humidity and the field observation data transmission bit error rate is not close, and a correlation alienation signal is generated;

[0088] If the correlation impact value is less than the correlation impact threshold, it means that the field environment humidity and the field observation data transmission bit error rate are closely related, and a closely related signal is generated;

[0089] The specific implementation scheme of the embodiment of the present invention is as follows: Based on the environmental assessment results, the influence degree of the humidity data in the wild environment on data transmission is analyzed from two different dimensions of correlation trend and correlation degree to obtain a correlation influence value, so as to reflect the comprehensive influence of the correlation degree between the humidity change and the data transmission error rate in the wild environment on data transmission through the correlation influence value, thereby reflecting that on the basis of the wild observation data, the influence degree of the special wild environment on the wild observation data during transmission can be further deduced inversely.

[0090] Embodiment 3: A wireless transmission system for wild observation data applicable to a special environment provided by the embodiment of the present invention specifically further includes the following modules:

[0091] Transmission optimization module: Based on the correlation tight signal, for the transmission-unfavorable signal, obtain a transmission optimization value, and according to the transmission optimization value, screen out the optimal wireless data transmission path;

[0092] In some embodiments, for the transmission-unfavorable signal, extract the check code in the humidity verification comparison group as the input, and calculate through the Hamming distance method to obtain a single-link verification value;

[0093] Compare the sizes of all single-link verification values, extract the minimum single-link verification value as the transmission optimization value, and use the humidity verification comparison group as the wireless transmission path;

[0094] The specific implementation scheme of the example of the present invention is as follows: Based on the correlation tight signal, for the transmission-unfavorable signal, extract the check code in the humidity verification comparison group as the input, calculate through the Hamming distance method to obtain a single-link verification value, compare the sizes, extract the minimum single-link verification value as the transmission optimization value, and use the humidity verification comparison group as the wireless transmission path, so as to solve the problem of low integrity and accuracy of data wireless transmission caused by humidity in the special wild environment according to the measured wild observation data.

[0095] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0096] The above has described a detailed description of an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A wireless transmission system for field observation data applicable to special environments, characterized in that, Including: Topology construction module: Obtain root nodes, intermediate nodes, and leaf nodes based on the mountain terrain survey information, and construct a tree-shaped topology structure based on the root nodes, intermediate nodes, and leaf nodes; Environmental assessment module: Based on the humidity data of each node in the tree-shaped topology structure, comprehensively evaluate the data transmission from the aspects of the integrity and dislocation of the check code, and obtain a signal indicating inappropriate transmission; Correlation analysis module: Based on the signal indicating inappropriate transmission, construct a periodic error code change curve and a periodic humidity change curve respectively, and analyze the correlation degree between the humidity data and the data transmission from the aspects of the curve slope and the curve endpoints respectively, and obtain a signal indicating strong correlation; Transmission optimization module: Based on the signal indicating strong correlation, obtain a transmission optimization value for the signal indicating inappropriate transmission, and screen out the optimal wireless data transmission path according to the transmission optimization value; In the periodic error code change curve and the periodic humidity change curve, the line segments between adjacent peak coordinates and valley coordinates are respectively used as the periodic humidity sub-curves and the periodic humidity sub-curves, and the slopes corresponding to the periodic error code sub-curves are combined with the slopes corresponding to the periodic humidity sub-curves to obtain multiple sub-curve slope analysis groups; Using the multiple sub-curve slope analysis groups as inputs and performing output using the Euclidean calculation method to obtain a trend correlation value; Respectively obtain the deviation degree of the endpoint Y coordinates of the periodic humidity sub-curve and the periodic humidity sub-curve to obtain an analysis sub-coefficient; In any sub-curve slope analysis group, extract the endpoint Y coordinate of the periodic error code sub-curve and the endpoint Y coordinate of the periodic humidity sub-curve; Subtract the starting point Y coordinate of the periodic error code sub-curve from the starting point Y coordinate of the periodic humidity sub-curve to obtain a starting point difference; Subtract the ending point Y coordinate of the periodic humidity sub-curve from the ending point Y coordinate of the periodic humidity sub-curve to obtain an ending point difference; Calculate the ratio of the starting point difference to the ending point difference to obtain an analysis sub-coefficient; Calculate the standard deviation of the analysis sub-coefficients corresponding to all sub-curve slope analysis groups to obtain a correlation degree coefficient; Perform a summation calculation on the trend correlation value and the correlation degree coefficient to obtain a correlation influence value; If the correlation influence value is less than the correlation influence threshold, generate a signal indicating strong correlation.

2. The wireless transmission system for field observation data applicable to a special environment according to claim 1, characterized in that, The construction process of the tree-shaped topology structure is as follows: According to the mountain terrain survey information, respectively use the mountaintop area as the root node, the mountain ridge area as the intermediate node, and the mountain observation points as the leaf nodes, and construct a tree-shaped topology structure according to the connection order of leaf node - intermediate node - root node.

3. A wireless transmission system for field observation data applicable to a special environment according to claim 1, characterized in that, The output process of the check difference value is as follows: Combine the check codes received by the root node with the check codes sent by each leaf node to obtain multiple humidity check comparison groups; Use the check codes in all humidity check comparison groups as inputs, calculate through the Hamming distance method, and perform averaging processing to output the check difference value.

4. A wireless transmission system for field observation data applicable to a special environment according to claim 1, characterized in that, The output process of the error rate is as follows: Combine the CRC codes received by the root node with the CRC codes sent by each leaf node to obtain multiple humidity CRC code comparison groups; Use the CRC codes in all humidity CRC code comparison groups as inputs, calculate through the cyclic redundancy check method, and perform averaging processing to output the error rate.

5. The wireless transmission system for field observation data applicable to a special environment according to claim 3, characterized in that, The generation process of the signal indicating inappropriate transmission is as follows: Sum the verification difference value and the bit error rate to obtain the current transmission evaluation value; If the current transmission evaluation value is less than the current evaluation threshold, generate a signal indicating that transmission is not advisable.

6. A wireless transmission system for field observation data applicable to a special environment according to claim 1, characterized in that, The process of dividing multiple observation time points; Construct a periodic bit error change curve based on the bit error rate corresponding to each observation time point within the observation period; Construct a periodic humidity change curve based on the average environmental humidity corresponding to each observation time point within the observation period.

7. A wireless transmission system for field observation data applicable to a special environment according to claim 1, characterized in that, The process of screening the wireless transmission path is as follows: For the signal indicating that transmission is not advisable, extract the check codes within the humidity verification comparison group and calculate the single-link verification value through the Hamming distance method; Extract the minimum value among all the single-link verification values as the transmission preference value, and use the humidity verification comparison group as the wireless transmission path.

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