Field observation data wireless transmission system suitable for special environment

Abstract

The invention discloses a field observation data wireless transmission system suitable for a special environment, and relates to the technical field of wireless communication, a tree-shaped topological structure is constructed according to mountain terrain investigation information, field observation data corresponding to each node in the tree-shaped topological structure is analyzed to obtain a current transmission evaluation value, and the current transmission evaluation value is analyzed to obtain a wireless transmission result. Therefore, not only is the difference degree between the environment humidity data check code received by the root node and the environment humidity data check code transmitted by the leaf node reflected, but also the integrity of the data in the transmission process is reflected, so that the data transmission quality in the current field special environment is comprehensively evaluated, and the data transmission efficiency is improved. Therefore, whether the current field special environment is suitable for data transmission is reflected.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communications, and in particular to a field observation data wireless transmission system suitable for special environments. Background Art

[0002] In today's era of rapid technological development, the demand for data monitoring and transmission in special outdoor environments is increasing. As a typical special outdoor environment, mountainous areas pose many challenges to wireless data transmission due to their complex terrain and changeable climate conditions.

[0003] In the prior art, when it is necessary to transmit field observation data through wireless transmission, the influence of humidity change in mountainous areas on wireless signal transmission is significant. When the humidity is high, the water vapor content in the air increases, which will cause the wireless signal to scatter and absorb during the propagation process, resulting in signal strength attenuation, seriously affecting the quality of data transmission. Therefore, based on the terrain survey information in the mountainous area, a tree topology structure is constructed, and the field observation data corresponding to each node in the tree topology structure is analyzed to evaluate whether the current special field environment is suitable for data transmission. If not, the comprehensive influence of the correlation between the humidity change in the field environment and the data transmission bit error rate on the data transmission is analyzed. Finally, for the signal not suitable for transmission, the check code in the humidity check comparison group is extracted as input, and the single link check value is obtained by calculation through the Hamming distance method. The size is compared, and the single link check minimum value is extracted as the transmission preferred value, and the humidity check comparison group is used as the wireless transmission path, so as to solve the problem of low data transmission integrity and accuracy caused by humidity in the special field environment when wirelessly transmitting data according to the measured field observation data. Summary of the invention

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

[0005] In a first aspect, a field observation data wireless transmission system suitable for a special environment comprises: Topology construction module: obtain root nodes, intermediate nodes and leaf nodes according to mountain terrain survey information, and build a tree 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 topology, the module conducts a comprehensive assessment of data transmission from the aspects of integrity and misalignment of the check code, and obtains a signal that is not suitable for transmission; Correlation analysis module: Based on the transmission inappropriate signal, the periodic bit error change curve and the periodic humidity change curve are constructed respectively, and the correlation between the humidity data and the data transmission is analyzed from the aspects of the curve slope and the curve endpoints to obtain a closely correlated signal; Transmission optimization module: Based on closely associated signals, it obtains transmission optimization values ​​for signals that are not suitable for transmission, and selects the optimal data wireless transmission path based on the transmission optimization values.

[0006] A further solution of the present invention is: based on the terrain survey information of the mountainous area, the mountain top area is used as the root node, the ridge area is used as the intermediate node, and the mountain observation point is used as the leaf node, and a tree topological structure is constructed in the connection order of leaf node→intermediate node→root node.

[0007] A further solution of the present invention is to combine the check code received by the root node with the check code sent by each leaf node to obtain multiple humidity check comparison groups; All humidity verification and comparison group verification codes are taken as input, calculated using the Hamming distance method, and averaged, and the verification difference value is output.

[0008] A further solution of the present invention is to combine the CRC code received by the root node with the CRC code sent by each leaf node to obtain multiple humidity CRC code comparison groups; All humidity CRC codes are compared with the CRC codes in the group as input, calculated by cyclic redundancy check method, and averaged, and the bit error rate is output.

[0009] A further solution of the present invention is: the check difference value and the bit error rate are summed to obtain a current transmission evaluation value; If the current transmission evaluation value is less than the current evaluation threshold, a transmission unsuitable signal is generated.

[0010] A further solution of the present invention is: setting an observation period and dividing it into multiple observation time points; Construct a periodic bit error variation curve based on the bit error rate corresponding to each observation time point within the observation period; The periodic humidity change curve is constructed based on the mean value of the ambient humidity corresponding to each observation time point within the observation period.

[0011] A further solution of the present invention is as follows: in the periodic bit error variation curve and the periodic humidity variation curve, the line segments between adjacent peak coordinates and trough coordinates are respectively used as periodic humidity sub-curves and periodic humidity sub-curves, and the corresponding slopes are obtained and used as inputs, and outputted using the Euclidean calculation method to obtain trend correlation values.

[0012] A further solution of the present invention is to obtain the Y coordinates of the endpoints of the periodic humidity sub-curve and the periodic humidity sub-curve respectively, make corresponding differences, and then perform ratio calculation to obtain the analysis sub-coefficient.

[0013] A further solution of the present invention is: the trend correlation value and the correlation degree coefficient are summed to obtain the correlation influence value; If the correlation influence value is less than the correlation influence threshold, a close correlation signal is generated.

[0014] A further solution of the present invention is as follows: for the signal not suitable for transmission, the humidity check comparison group internal check code is extracted as input, and the single link check value is obtained by calculation through the Hamming distance method; All single-link check values ​​are compared, the minimum single-link check value is extracted as the transmission preferred value, and the humidity check comparison group is used as the wireless transmission path.

[0015] Beneficial effects of the present invention: The present invention constructs a tree topology structure based on the mountain terrain survey information, analyzes the field observation data corresponding to each node in the tree topology structure, and obtains the current transmission evaluation value, thereby reflecting not only the difference between the environmental humidity data check code received by the root node and the environmental humidity data check code transmitted by each leaf node, but also the integrity of the data during the transmission process, thereby comprehensively evaluating the quality of data transmission in the current special field environment, thereby reflecting whether the current special field environment is suitable for data transmission; Based on the environmental assessment results, the present invention analyzes the impact degree of the field environment humidity data and data transmission from two different dimensions of correlation trend and correlation degree, and obtains the correlation impact value, thereby reflecting the comprehensive impact of the correlation degree between the humidity change in the field environment and the data transmission bit error rate on the data transmission through the correlation impact value, thereby reflecting that the influence degree of the special field environment on the field observation data during transmission can be further reversed on the basis of the field observation data; The present invention is based on closely associated signals and for signals that are not suitable for transmission. The check code in a humidity check comparison group is extracted as input, and a single-link check value is obtained by calculation through a Hamming distance method. The single-link check value is compared and the minimum value is extracted as a transmission preferred value. The humidity check comparison group is used as a wireless transmission path, thereby solving the problem of low data transmission integrity and accuracy caused by wireless transmission of data due to humidity in a special environment in the field according to the measured field observation data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a schematic diagram of a wireless transmission system for field observation data applicable to special environments of the present invention; Figure 2It is a flow chart of a method for wireless transmission of field observation data applicable to special environments of the present invention; Figure 3 It is a schematic diagram of a tree topology structure constructed in Example 1 of the present invention. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0019] Embodiment 1: Figure 1-3 As shown, an embodiment of the present invention provides a field observation data wireless transmission system suitable for a special environment, wherein the field special environment includes a mountainous area. When wirelessly transmitting data in a special environment in a mountainous area, it is particularly necessary to monitor the humidity changes in the mountainous area in different time periods. The main reason is that when the humidity in the mountainous area is high, the water vapor content in the air will increase. Specifically, the increase in the water vapor content in the air will cause the wireless signal to be scattered and absorbed during the propagation process, especially for high-frequency signals, which have a shorter wavelength and are more susceptible to the influence of water vapor, resulting in signal strength attenuation. Specifically, the system includes the following modules: Topology construction module: Identify the mountainous area according to the terrain survey information, obtain the root node, intermediate node and leaf node, and build a tree topology structure based on the root node, intermediate node and leaf node; Among them, the mountain terrain survey information includes the mountain top area, ridge area and mountain observation points; In some embodiments, a mountain top area is extracted from the mountain terrain survey information as a root node; Extract the ridge area from the mountain terrain survey information as the intermediate node; Extract mountain observation points from mountain terrain survey information as leaf nodes; It should be noted that the purpose of selecting the mountain top area as the root node is to obtain a wider signal coverage range, reduce the signal blocking by the mountain, and facilitate communication with other nodes; The purpose of selecting the mountain ridge area as the intermediate node is to effectively receive the signal from the mountain observation point and transmit the signal from the mountain observation point to the root node to ensure the reliable transmission of the signal; Based on the determined root node, intermediate node and leaf node, a tree topology structure is constructed in the connection order of leaf node → intermediate node → root node; Specifically, the root node is the core of the network, connecting multiple intermediate nodes, which in turn connect multiple leaf nodes. After data is collected from the leaf nodes, it is transmitted to the root node through the intermediate nodes step by step. The root node aggregates the data and sends it to the external network or data processing center. Environmental assessment module: obtains the field observation data corresponding to each node in the tree topology structure, analyzes the field observation data of each node, evaluates the quality of data transmission in the current special field environment, and obtains the environmental assessment results; Among them, the environmental assessment results include transmission suitable signals or transmission unsuitable signals; In some embodiments, a node is randomly selected from the tree topology structure, and corresponding field observation data is acquired through a humidity sensor installed at the node; The field observation data include but are not limited to the environmental humidity data set; Exemplarily, the check code of the ambient humidity data received by the root node and the check code of the ambient humidity data transmitted by all leaf nodes are extracted, and the check code of the ambient humidity data received by the root node is combined with the check code of the ambient humidity data transmitted by each leaf node respectively, to obtain multiple humidity check comparison groups; Randomly select a humidity calibration comparison group from multiple humidity calibration comparison groups; All humidity check codes in the comparison group are taken as input, calculated by the Hamming distance method, and averaged, and the check difference value is output; It should be noted that the purpose of analyzing multiple humidity check comparison group check codes by the Hamming distance method is: the Hamming distance method is essentially used to measure the difference between two check codes during the data transmission process. By comparing the check code of the environmental humidity data received by the root node and the check code of the environmental humidity data transmitted by each leaf node, it reflects the link quality from different leaf nodes to the root node during the data transmission process, which helps to identify the transmission quality of the leaf node, and then judge whether the area where the leaf node is located is currently suitable for data transmission; Exemplarily, extract the CRC code of the ambient humidity data after the root node receives it, and the CRC code of the ambient humidity data transmitted by all leaf nodes, and combine the CRC code of the ambient humidity data after the root node receives it with the CRC code of the ambient humidity transmission time corresponding to each leaf node, to obtain multiple humidity CRC code comparison groups; Randomly select a humidity CRC code comparison group from multiple humidity CRC code comparison groups; All humidity CRC codes are compared with the CRC codes in the group as input, calculated by cyclic redundancy check method, and averaged, and the bit error rate is output; The humidity CRC code is processed by the cyclic redundancy check method to compare the CRC code in the group. The purpose is to detect whether the data is wrong during data transmission. Based on the principle of polynomial division, specifically, the sender regards the data bit sequence to be transmitted as the coefficient of a polynomial, and then divides the data polynomial with a pre-selected generating polynomial. The remainder obtained is the CRC code. If the remainder is zero, it is considered that there is no error in the data transmission process; if the remainder is not zero, it means that there is an error in the data; The check difference value and the bit error rate are summed to obtain the current transmission evaluation value; It can be understood that the meaning of the current transmission evaluation value is: it is used to comprehensively evaluate the data transmission quality from the leaf node 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 between the environmental humidity data check code received by the root node and the environmental humidity data check code transmitted by the leaf node is reflected by the check difference value. On the other hand, the bit error rate reflects the integrity of the data during the transmission process, thereby comprehensively evaluating the quality of data transmission in the current special environment in the field, thereby reflecting whether the current special environment in the field is suitable for data transmission; Compare the current transmission assessment value with the current transmission assessment threshold as follows: If the current transmission evaluation value is greater than or equal to the current evaluation threshold, it means that the data transmission accuracy from the leaf node to the root node is high and the data integrity is high, and a transmission suitable signal is generated; If the current transmission evaluation value is less than the current evaluation threshold, it means that the data transmission accuracy from the leaf node to the root node is low and the data integrity is low, and a transmission unsuitable signal is generated; The specific implementation plan of the embodiment of the present invention is: 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 verification code received by the root node and the environmental humidity data verification code transmitted by each leaf node, but also reflecting the integrity of the data during the transmission process, thereby comprehensively evaluating the quality of data transmission in the current special environment in the wild, thereby reflecting whether the current special environment in the wild is suitable for data transmission.

[0020] Embodiment 2: A field observation data wireless transmission system suitable for a special environment provided by the embodiment of the present invention specifically includes the following modules: Correlation analysis module: Based on the environmental assessment results, the impact of the field environment on data transmission is analyzed according to the field observation data to obtain the correlation analysis results; Among them, the results of the correlation analysis include closely correlated signals or signals with small correlation effects; In some embodiments, an observation period is set to divide the observation period into a number of observation time points with equal time intervals; Extract the bit error rate corresponding to each observation time point; Among them, the bit error rate corresponding to each observation time point is obtained by taking the humidity CRC code and the CRC code in the group as input, calculating it through the cyclic redundancy check method, and performing averaging processing; The sum of the multiple environmental humidity data groups corresponding to the observation time points is calculated to obtain the average environmental humidity; Substitute the bit error rate corresponding to each observation time point in the observation period into the two-dimensional coordinate system, with the X-axis as time and the Y-axis as bit error rate, to construct a periodic bit error variation curve; Substitute the mean value of ambient humidity corresponding to each observation time point in the observation period into the two-dimensional coordinate system, with the X-axis as time and the Y-axis as the mean value of ambient humidity, to construct a periodic humidity change curve; In the cycle error variation curve, all peak coordinates and trough coordinates are extracted, and the line segments between adjacent peak coordinates and trough coordinates are used as a cycle error sub-curve to obtain multiple cycle error sub-curves, and the corresponding slopes are obtained respectively through the slope calculation formula; In the periodic humidity variation curve, all peak coordinates and trough coordinates are extracted, and the line segments between adjacent peak coordinates and trough coordinates are used as a periodic humidity sub-curve to obtain multiple periodic humidity sub-curves, and the corresponding slopes are obtained respectively through the slope calculation formula; Combining the slope corresponding to the periodic bit error sub-curve with the slope corresponding to the periodic humidity sub-curve to obtain a plurality of sub-curve slope analysis groups; It should be noted that the periodic bit error sub-curve and the periodic humidity sub-curve in the sub-curve slope analysis group are line segments between the same adjacent observation time points in the time dimension; Taking multiple sub-curve slope analysis groups as input, the Euclidean calculation method is used to output the trend correlation value; Among them, the Euclidean calculation formula is: , the trend correlation value is calculated to Where n represents the total number of sub-curve slope analysis groups, It is expressed as the slope corresponding to the period error sub-curve in the i-th sub-curve slope analysis group, It is expressed as the slope corresponding to the periodic humidity sub-curve within the i-th sub-curve slope analysis group; In the arbitrary sub-curve slope analysis group, extract the Y coordinates of the endpoints of the periodic bit error sub-curve and the Y coordinates of the endpoints of the periodic humidity sub-curve; 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; 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; 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; Calculate the ratio of the starting point difference to the end point difference to obtain the analysis sub-coefficient; Calculate the standard deviation of the analysis sub-coefficients corresponding to the analysis groups of all sub-curve slopes to obtain the correlation coefficient; The trend correlation value and the correlation degree coefficient are summed up to obtain the correlation impact value; 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. The association impact value is compared to the association impact threshold as follows: 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; 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; The specific implementation scheme of the embodiment of the present invention is: based on the environmental assessment results, the impact degree of the field environment humidity data and data transmission is analyzed from two different dimensions of correlation trend and correlation degree, and the correlation impact value is obtained, so as to reflect the comprehensive impact of the correlation degree between the humidity change in the field environment and the data transmission bit error rate on the data transmission through the correlation impact value, thereby reflecting that on the basis of the field observation data, it is possible to further reversely infer the degree of influence of the special field environment on the field observation data during transmission.

[0021] Embodiment 3: A field observation data wireless transmission system suitable for special environments provided by the embodiment of the present invention specifically includes the following modules: Transmission optimization module: Based on closely related signals, it obtains transmission optimization values ​​for signals that are not suitable for transmission, and selects the optimal data wireless transmission path based on the transmission optimization values; In some embodiments, for the signal that is not suitable for transmission, the humidity check comparison group internal check code is extracted as input, and the single link check value is obtained by calculation through the Hamming distance method; All single-link check values ​​are compared, the single-link check minimum value is extracted as the transmission optimization value, and the humidity check comparison group is used as the wireless transmission path; The specific implementation scheme of the present invention is as follows: based on closely associated signals, for signals that are not suitable for transmission, the check code in the humidity check comparison group is extracted as input, and the single-link check value is calculated through the Hamming distance method to obtain the size comparison, and the single-link check minimum value is extracted as the transmission preferred value, and the humidity check comparison group is used as the wireless transmission path, so as to solve the problem of low data transmission integrity and accuracy caused by wireless transmission of data due to humidity in special outdoor environments based on the measured field observation data.

[0022] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0023] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A wireless transmission system for field observation data suitable for special environments, characterized in that: include: Topology construction module: obtain root nodes, intermediate nodes and leaf nodes according to mountain terrain survey information, and build a tree 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 topology, the module conducts a comprehensive assessment of data transmission from the aspects of integrity and misalignment of the check code, and obtains a signal that is not suitable for transmission; Correlation analysis module: Based on the transmission inappropriate signal, the periodic bit error change curve and the periodic humidity change curve are constructed respectively, and the correlation between the humidity data and the data transmission is analyzed from the aspects of the curve slope and the curve endpoints to obtain a closely correlated signal; Transmission optimization module: Based on closely associated signals, it obtains transmission optimization values ​​for signals that are not suitable for transmission, and selects the optimal data wireless transmission path based on the transmission optimization values.

2. According to claim 1, a field observation data wireless transmission system suitable for special environments is characterized in that: The construction process of the tree topology is as follows: According to the terrain survey information of mountainous area, the mountain top area is taken as the root node, the ridge area is taken as the intermediate node, and the mountain observation point is taken as the leaf node. A tree topological structure is constructed in the connection order of leaf node-intermediate node-root node.

3. According to claim 1, a wireless transmission system for field observation data suitable for special environments is characterized in that: The output process of the verification difference value is: The root node receiving check code is combined with each leaf node sending check code to obtain multiple humidity check comparison groups; All humidity verification and comparison group verification codes are taken as input, calculated using the Hamming distance method, and averaged, and the verification difference value is output.

4. The field observation data wireless transmission system suitable for special environments according to claim 1 is characterized in that: The output process of bit error rate is: The root node receiving CRC code is combined with the CRC codes sent by each leaf node to obtain multiple humidity CRC code comparison groups; All humidity CRC codes are compared with the CRC codes in the group as input, calculated by cyclic redundancy check method, and averaged, and the bit error rate is output.

5. The field observation data wireless transmission system suitable for special environments according to claim 3 is characterized in that: The generation process of the transmission inappropriate signal is: The check difference value and the bit error rate are summed to obtain the current transmission evaluation value; If the current transmission evaluation value is less than the current evaluation threshold, a transmission unsuitable signal is generated.

6. The field observation data wireless transmission system suitable for special environments according to claim 1 is characterized in that: The division process of multiple observation time points; Construct a periodic bit error variation curve based on the bit error rate corresponding to each observation time point within the observation period; The periodic humidity change curve is constructed based on the mean value of the ambient humidity corresponding to each observation time point within the observation period.

7. The field observation data wireless transmission system suitable for special environments according to claim 1 is characterized in that: The process of obtaining the trend correlation value is: In the periodic bit error variation curve and the periodic humidity variation curve, the line segments between adjacent peak coordinates and trough coordinates are respectively used as the periodic humidity sub-curve and the periodic humidity sub-curve, and the corresponding slopes are obtained to obtain the trend correlation value through Euclidean calculation.

8. The field observation data wireless transmission system suitable for special environments according to claim 1 is characterized in that: The process of obtaining the analytical sub-coefficient is: The deviation degree of the periodic humidity sub-curve and the endpoint Y coordinate of the periodic humidity sub-curve is obtained respectively to obtain the analysis sub-coefficient.

9. The field observation data wireless transmission system suitable for special environments according to claim 7, characterized in that: The generation process of closely related signals is: The trend correlation value and the correlation degree coefficient are summed up to obtain the correlation impact value; If the correlation influence value is less than the correlation influence threshold, a close correlation signal is generated.

10. The field observation data wireless transmission system suitable for special environments according to claim 1, characterized in that: The screening process of wireless transmission paths is as follows: For signals that are not suitable for transmission, the humidity check code is extracted and compared with the check code in the group, and the single link check value is calculated by the Hamming distance method; The minimum value among all single-link check values ​​is extracted as the transmission preferred value, and the humidity check comparison group is used as the wireless transmission path.

Images