A debris flow monitoring method based on multimode data communication

Abstract

The present invention relates to the field of debris flow monitoring, and particularly to a debris flow monitoring method based on multi-mode data communication, including determining the monitoring status of each geological monitoring point in the target monitoring area according to the point interference coefficient and the point radiation coefficient, and determining the data monitoring strategy for each geological monitoring point according to the monitoring status; when monitoring based on the associated monitoring strategy, determining the parameter setting method according to the distribution status of each key monitoring point; when monitoring based on the reference monitoring strategy, periodically setting the point monitoring parameters of each conventional monitoring point, and determining whether to perform secondary adjustment on the point monitoring parameters based on the monitoring difference coefficient; periodically determining the transmission execution coefficient according to the proportion of key monitoring nodes and the data mutation coefficient, and determining the transmission communication strategy according to the transmission execution coefficient of each data communication node. The present invention improves the data analysis efficiency in the process of debris flow monitoring.

Description

Technical Field

[0001] The present invention relates to the field of debris flow monitoring, and in particular to a debris flow monitoring method based on multimode data communication. Background Art

[0002] During the process of debris flow monitoring, the monitoring results are all based on the monitoring results of the relevant parameters of each monitoring point. Therefore, the richness of the relevant parameters of the obtained monitoring points is likely to have a greater impact on the data processing efficiency and accuracy of the monitoring process. However, the existing debris flow monitoring methods only adjust the monitoring frequency of the overall monitoring points according to whether there is a debris flow risk signal, resulting in a poor optimization result for the parameter acquisition process of the debris flow monitoring process. Therefore, how to optimize the monitoring frequency of the monitoring points in real time according to the actual parameters of different monitoring points to ensure the timeliness of the monitoring results while reducing data redundancy is an urgent problem to be solved by those skilled in the art.

[0003] Chinese Patent Application Publication No. CN116992097A discloses a contact type debris flow motion parameter monitoring method and system, which relates to the technical field of debris flow monitoring, including: selecting a set of historical monitoring records as a set of parameter analysis records according to the comprehensiveness principle, sorting according to the monitoring time sequence to obtain the time sequence data sequences of each motion parameter, obtaining the time sequence linkage between each motion parameter through time sequence linkage analysis, constructing a motion parameter linkage network through the time sequence linkage, marking the main nodes of the motion parameter linkage network, selecting a set of historical monitoring records as a set of point analysis records according to the inclusiveness principle, reusing the time sequence data sequences of each monitoring key parameter in each point analysis record to calculate the debris flow early warning accuracy, and determining the best monitoring point of the motion parameter by using the motion parameter monitoring point determination model.

[0004] However, the above solution has the following problems: it fails to optimize the parameter acquisition process in a timely manner according to the actual data conditions of each monitoring point, resulting in the inability to reduce the redundancy of the obtained monitoring key parameters while ensuring the accuracy of the monitoring results, thereby leading to low data processing efficiency in the debris flow monitoring process. Summary of the Invention

[0005] Therefore, the present invention provides a debris flow monitoring method based on multimode data communication to overcome the problem in the prior art that the parameter acquisition process fails to be optimized in a timely manner according to the actual data conditions of each monitoring point, resulting in the inability to reduce the redundancy of the obtained monitoring data while ensuring the accuracy of the monitoring results, thereby leading to low data processing efficiency in the debris flow monitoring process.

[0006] To achieve the above object, the present invention provides a debris flow monitoring method based on multimode data communication, including:

[0007] Determine the monitoring status of each geological monitoring point in the target monitoring area according to the point interference coefficient and the point radiation coefficient, and determine the data monitoring strategy for each geological monitoring point according to the monitoring status. The data monitoring strategy is to monitor the point data of the geological monitoring point based on the correlation monitoring strategy, or to monitor the point data of the geological monitoring point based on the reference monitoring strategy;

[0008] When monitoring based on the correlation monitoring strategy, determine the parameter setting method according to the distribution status of each key monitoring point. The parameter setting method is to determine the point monitoring parameters according to the mutation duration and the monitoring mutation index, or to determine the point monitoring parameters according to the reference trend coincidence degree and the mutation duration of the point analysis set;

[0009] When monitoring based on the reference monitoring strategy, periodically set the point monitoring parameters of each conventional monitoring point, and determine whether to perform secondary adjustment on the point monitoring parameters based on the monitoring difference coefficient;

[0010] Periodically determine the transmission execution coefficient according to the proportion of key monitoring nodes and the data mutation coefficient, and determine the transmission communication strategy according to the transmission execution coefficient of each data communication node. The transmission communication strategy is to use the compensation transmission strategy or the auxiliary transmission strategy to transmit the associated transmission data of the data communication node.

[0011] Furthermore, when the geological monitoring point is in the key monitoring state where the point interference coefficient is greater than the preset point interference coefficient or the point radiation coefficient is greater than the preset point radiation coefficient, then monitor the point data of the geological monitoring point based on the correlation monitoring strategy. The correlation monitoring strategy includes:

[0012] Determine the parameter setting method according to the distribution status of each key monitoring point;

[0013] If a key monitoring point is in a limited distribution state, periodically determine whether to adjust the point monitoring parameters according to the range mutation cycle index and the reference monitoring mutation index;

[0014] If a key monitoring point is in a composite distribution state, determine the division method of the point analysis set of the key monitoring point according to the radiation key proportion, and adjust the point monitoring parameters based on the point analysis set.

[0015] Furthermore, when the geological monitoring point is in the conventional monitoring state where the point interference coefficient is less than or equal to the preset point interference coefficient and the point radiation coefficient is less than or equal to the preset point radiation coefficient, then monitor the point data of the geological monitoring point based on the reference monitoring strategy. The reference monitoring strategy includes:

[0016] Periodically determine the point monitoring parameters of each conventional monitoring point according to the point evaluation parameters and the risk reference coefficient, and determine whether to adjust the point monitoring parameters of each conventional monitoring point based on the monitoring difference coefficient;

[0017] The point monitoring parameters are positively correlated with the point evaluation parameters and the risk reference coefficient respectively;

[0018] The conventional monitoring points are geological monitoring points in the conventional monitoring state.

[0019] Further, the distribution state is determined according to the point distribution parameters of the key monitoring points, and the point distribution parameters are determined according to the number of radiation key points within the distribution reference range and the distribution parameters;

[0020] If the point distribution parameter of the key monitoring point is greater than the preset point distribution parameter, it is determined that the key monitoring point is in the composite distribution state;

[0021] If the point distribution parameter of the key monitoring point is less than or equal to the preset point distribution parameter, it is determined that the key monitoring point is in the limited distribution state;

[0022] The distribution reference range is determined according to the point radiation coefficient of the key monitoring point;

[0023] The key monitoring points are geological monitoring points in the key monitoring state.

[0024] Further, when the key monitoring point is in the composite distribution state, determine the division method of the point analysis set of the key monitoring point according to the radiation key ratio;

[0025] If the radiation key ratio of the key monitoring point is greater than the preset radiation key ratio, determine the point analysis set according to the reference radiation matching index of each radiation key point;

[0026] If the radiation key ratio of the key monitoring point is less than or equal to the preset radiation key ratio, determine the point analysis set according to the interactive radiation coefficient of each radiation key point.

[0027] Further, periodically detect the coincidence degree of the data change trends and the duration of mutation of each radiation key point in the point analysis set of the key monitoring point in the composite distribution state, and increase and adjust the point monitoring parameters according to the reference trend coincidence degree and the duration of mutation;

[0028] The increased value of the point monitoring parameter is positively correlated with the reference trend coincidence degree and the duration of mutation.

[0029] Further, for any conventional monitoring point, if the monitoring difference coefficient of the conventional monitoring point is greater than the preset monitoring difference coefficient, the monitoring parameters of the point are adjusted to increase according to the monitoring difference coefficient;

[0030] The monitoring difference coefficient is determined according to the monitoring difference value and the interaction radiation coefficient of the geological monitoring point that has an interaction radiation relationship with the conventional monitoring point;

[0031] The increased value of the point monitoring parameter has a positive correlation with the monitoring difference coefficient.

[0032] Further, the transmission communication strategy is determined periodically according to the transmission execution coefficient of each data communication node;

[0033] If the transmission execution coefficient of a data communication node is greater than the preset transmission execution coefficient, the associated transmission data of the data communication node is transmitted using a compensation transmission strategy;

[0034] If the transmission execution coefficient of a data communication node is less than or equal to the preset transmission execution coefficient, the associated transmission data of the data communication node is transmitted using an auxiliary transmission strategy, and the transmission channel combination result is determined according to the static interference transmission coefficient and the transmission matching coefficient.

[0035] Further, when transmitting the associated transmission data of a data communication node based on the compensation transmission strategy, relevant analysis is performed on the associated transmission data of the data communication node, including,

[0036] Determine the data compensation method of the associated transmission data according to the interaction radiation coefficient of the associated transmission point of the data communication node;

[0037] If the data interaction radiation coefficient is greater than the preset data interaction radiation coefficient, the interaction data set is determined based on the interaction radiation coefficient;

[0038] If the data interaction radiation coefficient is less than or equal to the preset data interaction radiation coefficient, the transmission compensation data is determined based on the mutation coverage period;

[0039] The associated transmission data is a set of data to be transmitted at the associated transmission points of the data communication node, and the data to be transmitted is the point data of the associated transmission points obtained each time during the data transmission cycle.

[0040] Further, screening of compensation transmission data is performed on each interaction data set of the data communication node;

[0041] For a single interaction data set, determine the compensation priority coefficient of each data to be transmitted in the interaction data set according to the mutation coverage period and the mutation duration period of each associated transmission point corresponding to the interaction data set;

[0042] The interaction radiation coefficient between associated monitoring nodes within any interaction data set is greater than the preset set interaction coefficient.

[0043] Compared with the prior art, the beneficial effects of the present invention are as follows. In the technical solution of the present invention, the data monitoring strategy is determined according to the monitoring status of each geological monitoring point, so as to ensure that the optimization process of collecting the point monitoring parameters for each geological monitoring point is more in line with the actual point situation, ensure the accuracy of the setting results of the point monitoring parameters for each geological monitoring point, avoid redundancy in the obtained point data, and ensure the effectiveness of the monitoring data obtained by the data analysis end. The present invention improves the data analysis efficiency in the debris flow monitoring process.

[0044] Furthermore, the present invention determines the monitoring status of each geological monitoring point according to the point interference coefficient and the point radiation coefficient, which is used to characterize the degree to which a geological monitoring point affects other geological monitoring points and the situation of being easily affected by other geological monitoring points, so as to determine the data monitoring strategy for each geological monitoring point, and can optimize the parameter collection process for each geological monitoring point in a timely and accurate manner, ensuring the timeliness of the debris flow monitoring results.

[0045] Furthermore, in the present invention, the parameter setting method for each key monitoring point is determined according to the distribution status of each key monitoring point. The change situation of the point data of each key monitoring point caused by the surrounding environment fluctuation is further determined through the number of radiation key points and the distribution parameters within the distribution reference range. In the case of limited interference, the reference update index is determined according to the point evaluation parameter and the risk reference coefficient, which is used to characterize the probability of easy fluctuation of each key monitoring node in a limited distribution state at each update moment, improving the accuracy of the optimization result of the parameter collection process.

[0046] Furthermore, for the key monitoring points in the composite distribution state in the present invention, the interference received by such key monitoring points is relatively complex. The situation of the points with greater interference ability is characterized according to the radiation key ratio of such key monitoring points, and then the division method of the point analysis set is determined, as much as possible to ensure the effective degree of the data in the point analysis set, and further improve the accuracy of the optimization result of the parameter collection process.

[0047] Furthermore, in the present invention, the point monitoring parameters of each conventional monitoring point are determined according to the point evaluation parameter and the risk reference coefficient, and whether to adjust the point monitoring parameters is determined according to the monitoring difference coefficient, so that the setting of the point monitoring parameters for the conventional monitoring point ensures the analysis requirements of itself while ensuring the analysis requirements of the nearby geological monitoring points, that is, while ensuring the accuracy requirements of the debris flow monitoring results, reducing the redundancy of the obtained point data.

[0048] Further, a transmission communication strategy is determined according to the transmission execution coefficients of each data communication node, and the probability that there is key information for the judgment process of debris flow anomaly monitoring in the associated transmission data to be transmitted is determined based on the transmission execution coefficients, so as to ensure that the determined data transmission scheme is more in line with the scenario working scenario, while reducing the loss of key information during the transmission process and ensuring the transmission efficiency of the associated transmission data. Description of the Drawings

[0049] Figure 1 Schematic diagram of the debris flow monitoring method based on multi-mode data communication of the present invention;

[0050] Figure 2 Flowchart of the present invention for determining the monitoring status of each geological monitoring point in the target monitoring area according to the point interference coefficient and the point radiation coefficient;

[0051] Figure 3 Flowchart of the present invention for determining the parameter setting method according to the distribution status of each key monitoring point;

[0052] Figure 4 Flowchart of the present invention for determining the transmission communication strategy according to the transmission execution coefficients of each data communication node. Detailed Embodiments

[0053] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] The preferred embodiments of the present invention will be described below with reference to the drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0055] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention.

[0056] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installed", "connected", and "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] Please refer to Figures 1 to 4 As shown, an embodiment of the present invention provides a debris flow monitoring method based on multimode data communication, including:

[0058] Determine the monitoring status of each geological monitoring point in the target monitoring area according to the point interference coefficient and the point radiation coefficient, and determine the data monitoring strategy for each geological monitoring point according to the monitoring status. The data monitoring strategy is to monitor the point data of the geological monitoring point based on the correlation monitoring strategy, or to monitor the point data of the geological monitoring point based on the reference monitoring strategy;

[0059] When monitoring based on the correlation monitoring strategy, determine the parameter setting method according to the distribution status of each key monitoring point. The parameter setting method is to determine the point monitoring parameters according to the mutation duration and the monitoring mutation index, or to determine the point monitoring parameters according to the reference trend coincidence degree of the point analysis set and the mutation duration;

[0060] When monitoring based on the reference monitoring strategy, periodically set the point monitoring parameters of each conventional monitoring point, and determine whether to perform secondary adjustment on the point monitoring parameters based on the monitoring difference coefficient;

[0061] Periodically determine the transmission execution coefficient according to the proportion of key monitoring nodes and the data mutation coefficient, and determine the transmission communication strategy according to the transmission execution coefficient of each data communication node. The transmission communication strategy is to use the compensation transmission strategy or the auxiliary transmission strategy to transmit the associated transmission data of the data communication node.

[0062] Among them, the present invention is used for data monitoring and analysis of areas that need debris flow monitoring. The target monitoring area is the area that currently needs debris flow monitoring. There are several geological monitoring points in the target monitoring area to obtain point data. Users can set the categories of point data to be obtained according to actual needs. The categories of point data that can be obtained include, but are not limited to, soil water content and mud level. In addition, there are several data communication nodes in the target monitoring area. Each data communication node needs to upload the point data of several geological monitoring points. The geological monitoring points that need to upload the point data of several geological monitoring points are recorded as the associated transmission nodes of the corresponding data communication nodes. Each communication node can transmit point data through different transmission channels. Users can adjust the proportion of the wired transmission channel according to the actual working scenario. The point monitoring parameter optimized in the present invention is the number of times of collecting point data for each geological monitoring point per unit time;

[0063] In the present invention, there are several regional monitoring records. Any one of the regional monitoring records records at least one of the point interference coefficient, point radiation coefficient, interactive radiation coefficient, data fluctuation range corresponding to the point data, point distribution parameter, radiation key ratio, reference radiation matching index, reference interactive radiation coefficient, monitoring difference coefficient, transmission execution coefficient, environmental interference parameter, and mutation duration period during the debris flow monitoring of the target monitoring area. And each regional monitoring record corresponds to a qualified mark, which records whether the effectiveness of the monitoring data meets the user's requirements. It can be understood that users can determine whether the effectiveness of the monitoring data meets the requirements according to the self-set indicators. For example, the self-set indicators can be, but are not limited to, data processing efficiency. The data processing efficiency is the average value of the time used by users to determine whether there are abnormalities in each node based on the obtained monitoring data.

[0064] Specifically, when a geological monitoring point is in a key monitoring state where the point interference coefficient is greater than the preset point interference coefficient or the point radiation coefficient is greater than the preset point radiation coefficient, the point data of the geological monitoring point is monitored based on the associated monitoring strategy. The associated monitoring strategy includes:

[0065] Determine the parameter setting method according to the distribution state of each key monitoring point;

[0066] If a key monitoring point is in a limited distribution state, periodically determine whether to adjust the point monitoring parameter according to the range mutation period index and the reference monitoring mutation index;

[0067] If a key monitoring point is in a composite distribution state, determine the division method of the point analysis set of the key monitoring point according to the radiation key ratio, and adjust the point monitoring parameter based on the point analysis set.

[0068] Among them, when the key monitoring points are in a limited distribution state, it is periodically determined whether to adjust the point monitoring parameters according to the range mutation period index and the reference monitoring mutation index. In the present invention, a cyclic finite reference monitoring period is applied, and the duration of the finite reference monitoring period can be determined by the user himself. A duration of the finite reference monitoring period is provided, and the finite reference monitoring period is 1 h. At the end of each finite reference monitoring period, it is determined whether to adjust the point monitoring parameters used in the previous finite reference monitoring period according to the mutation duration and the monitoring mutation index;

[0069] For a single key monitoring point in a limited distribution state, the monitoring mutation indexes of each radiation key point within its distribution reference range are periodically detected, and the adjustment necessary coefficient of the key monitoring point is determined according to the range mutation period index and the reference monitoring mutation index. The adjustment necessary coefficient = ln (range mutation period index × range monitoring mutation index). The range mutation period index is the average value of the number of mutation periods of each radiation key point within the distribution reference range, and the range monitoring mutation index is the average value of the monitoring mutation indexes of each radiation key point within the distribution reference range. For a single radiation key point, the monitoring mutation index is the average value of the absolute values of the differences between the point data of each mutation period of the radiation key point. If the adjustment necessary coefficient of the key monitoring point is greater than the preset adjustment necessary coefficient, the point monitoring parameters of the key monitoring point are adjusted to increase, and the increase value of the point monitoring parameters has a positive correlation with the adjustment necessary coefficient.

[0070] Specifically, when the geological monitoring point is in a normal monitoring state where the point interference coefficient is less than or equal to the preset point interference coefficient and the point radiation coefficient is less than or equal to the preset point radiation coefficient, the point data of the geological monitoring point is monitored based on the reference monitoring strategy. The reference monitoring strategy includes:

[0071] Periodically determine the point monitoring parameters of each normal monitoring point according to the point evaluation parameter and the risk reference coefficient, and determine whether to adjust the point monitoring parameters of each normal monitoring point based on the monitoring difference coefficient;

[0072] The point monitoring parameters are respectively in a positive correlation with the point evaluation parameter and the risk reference coefficient;

[0073] The normal monitoring point is a geological monitoring point in a normal monitoring state.

[0074] Among them, for a single geological monitoring point, the point interference coefficient = ln (the number of interference monitoring points of the geological monitoring point × the average value of the mutual radiation coefficients of each interference monitoring point of the geological monitoring point), the point radiation coefficient = ln (the number of radiation monitoring points of the geological monitoring point × the average value of the mutual radiation coefficients of each radiation monitoring point of the geological monitoring point). For any two geological monitoring points, if the mutual radiation coefficient between the above two geological monitoring points is greater than the preset mutual radiation coefficient, it is determined that there is a mutual radiation relationship between the above two geological monitoring points. The geological monitoring point with a higher altitude is recorded as the radiation monitoring point of the other geological monitoring point, and the geological monitoring point with a lower altitude is recorded as the interference monitoring point of the other geological monitoring point. The mutual radiation coefficient is the product of the number of interfering geological features and the propagation diffusion index. The interfering geological features are the fault area and the joint zone area between two geological monitoring points. The propagation diffusion index = ln (point slope value / vegetation area). The point slope value is the slope value between two geological monitoring points, and the vegetation area is the area with vegetation coverage between two geological monitoring points. How to determine the fault area, joint zone area, slope value, and vegetation area between geological monitoring points is easy for those skilled in the art to understand and will not be elaborated here;

[0075] The values of the preset point interference coefficient, preset point radiation coefficient, and preset mutual radiation coefficient can be determined by the user according to the actual working scenario. For example, the user can set them according to the regional monitoring records. The higher the user's requirement for the validity of the monitoring data, the larger the value of the preset point interference coefficient, the larger the value of the preset point radiation coefficient, and the smaller the value of the preset mutual radiation coefficient. A method for obtaining the values of the preset point interference coefficient and preset point radiation coefficient is provided. The minimum value of the point interference coefficients of each key monitoring point in the regional monitoring records that meet the user's requirement for the validity of the monitoring data is recorded as the preset point interference coefficient. The minimum value of the point radiation coefficients of each key monitoring point in the regional monitoring records that meet the user's requirement for the validity of the monitoring data is recorded as the preset point radiation coefficient. A method for obtaining the value of the preset mutual radiation coefficient is provided. The minimum value of the mutual radiation coefficients between the geological monitoring points with mutual radiation relationships in the regional monitoring records that meet the user's requirement for the validity of the monitoring data is recorded as the preset mutual radiation coefficient;

[0076] In the present invention, a cyclic reference update period is applied, and the duration of the reference update period can be determined by the user himself. A duration of the reference update period is provided, and the reference update period is 12 h. At the end of each reference update period, the point monitoring parameters of each conventional monitoring point are updated according to the point evaluation parameter and the risk reference coefficient, and it is determined whether to adjust the point monitoring parameters of each conventional monitoring point based on the monitoring difference coefficient. For a single conventional monitoring point, a reference update index is determined according to the point evaluation parameter and the risk reference coefficient. The reference update index is the product of the point evaluation parameter and the risk reference coefficient. The point monitoring parameter is positively correlated with the reference update index. The point evaluation parameter is the cumulative sum of the absolute values of the differences between the point data corresponding to each monitoring parameter mutation during the current reference update period for the conventional monitoring point. The risk reference coefficient is the number of mutation cycles of the geological monitoring point having an interactive radiation relationship with the conventional monitoring point in the regional monitoring records with the same environmental parameters during the current reference update period.

[0077] Specifically, the distribution state is determined according to the point distribution parameter of the key monitoring point, and the point distribution parameter is determined according to the number of radiation key points within the distribution reference range and the distribution parameter.

[0078] If the point distribution parameter of the key monitoring point is greater than the preset point distribution parameter, it is determined that the key monitoring point is in a composite distribution state.

[0079] If the point distribution parameter of the key monitoring point is less than or equal to the preset point distribution parameter, it is determined that the key monitoring point is in a limited distribution state.

[0080] The distribution reference range is determined according to the point radiation coefficient of the key monitoring point.

[0081] The key monitoring point is a geological monitoring point in a key monitoring state.

[0082] Among them, for a single key monitoring point, the point distribution parameter of the key monitoring point is determined according to the number and distribution parameters of the radiation key points within the distribution reference range of the key monitoring point. The point distribution parameter is the product of the number of radiation key points within the distribution reference range and the distribution parameter. The radiation key point is a geological monitoring point in the key monitoring state among the radiation monitoring points of the key monitoring point. The distribution parameter is the sum of the radiation reference distance and the radiation reference response duration. The radiation reference distance is the average value of the interval distances between each radiation key point and the key monitoring point. The radiation reference response duration is the average value of the mutation response durations between each radiation key point and the key monitoring point. The distribution reference range of the key monitoring point is a circular area centered on the location of the key monitoring point in the horizontal direction with a range reference length as the radius. The range reference length has a positive correlation with the point radiation coefficient of the key monitoring point;

[0083] For any two key monitoring points with an interactive radiation relationship, if a monitoring parameter mutation occurs at the interference monitoring point among them, the interval duration between the moment when a monitoring parameter mutation occurs at the radiation monitoring point and the moment when the interference monitoring point is detected to have a monitoring parameter mutation is recorded as the mutation response duration between the two key monitoring points. For a single geological monitoring point, if the absolute value of the difference between the point data of the geological monitoring point obtained in two adjacent times is greater than the preset data mutation value, then the moment closer to the current moment among the two times of obtaining the point data is recorded as the moment when the monitoring parameter mutation occurs, and the time range between the two times of obtaining the point data is recorded as a mutation period. The value of the preset data mutation value can be determined by the user according to the actual working scenario. For example, the user can set it according to the regional monitoring record. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset data mutation value. A method for obtaining the value of the preset data mutation value is provided. The value obtained by taking 5% of the numerical span of the data fluctuation range corresponding to the point data is recorded as the preset data mutation value. The numerical span of the data fluctuation range is the difference obtained by subtracting the minimum value of the data fluctuation range from the maximum value of the data fluctuation range;

[0084] The value of the preset point distribution parameter can be determined by the user according to the actual working scenario. For example, the user can set it according to the regional monitoring record. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset point distribution parameter. A method for obtaining the value of the preset point distribution parameter is provided. The minimum value of the point distribution parameters of the key monitoring points in the composite distribution state in the regional monitoring record that meets the user's requirement for the validity of the monitoring data is recorded as the preset point distribution parameter.

[0085] Specifically, when the key monitoring points are in a composite distribution state, the division method of the point analysis set of the key monitoring points is determined according to the radiation key ratio;

[0086] If the radiation key ratio of the key monitoring point is greater than the preset radiation key ratio, the point analysis set is determined according to the reference radiation matching index of each radiation key point;

[0087] If the radiation key ratio of the key monitoring point is less than or equal to the preset radiation key ratio, the point analysis set is determined according to the interactive radiation coefficient of each radiation key point.

[0088] Among them, for a single key monitoring point, the radiation key ratio = the number of radiation key points within the distribution reference range of the key monitoring point / the number of key monitoring points within the distribution reference range of the key monitoring point. The value of the preset radiation key ratio can be determined by the user according to the actual working scenario. For example, the user can set it according to the regional monitoring records. A method for obtaining the value of the preset radiation key ratio is provided. The regional monitoring records for determining the point analysis set according to the reference radiation matching index of each radiation key point are recorded as the division reference records, and the minimum value of the radiation key ratio of the key monitoring points in the division reference records that meet the user's requirements for the effectiveness of the monitoring data is recorded as the preset radiation key ratio;

[0089] When the radiation key ratio of the key monitoring point is greater than the preset radiation key ratio, the reference radiation matching index of each radiation key point in any determined point analysis set is greater than the preset reference radiation matching index. For a single key monitoring point with a radiation key ratio greater than the preset radiation key ratio, the reference radiation matching index of any radiation key point of the key monitoring point is the number of coincidence mutation cycles between the radiation key point and the key monitoring point; when the radiation key ratio of the key monitoring point is less than or equal to the preset radiation key ratio, the reference interactive radiation coefficient of any determined point analysis set is greater than the preset set radiation coefficient. For a single key monitoring point with a radiation key ratio less than or equal to the preset radiation key ratio, the reference interactive radiation coefficient of the point analysis set of the key monitoring point is the average value of the interactive radiation coefficients between each radiation key point in the point analysis set and the key monitoring point;

[0090] The values of the preset reference radiation matching index and the preset set radiation coefficient can be determined by the user according to the actual working scenario. For example, the user can set them according to the regional monitoring records. The higher the user's requirement for the validity of the monitoring data, the larger the value of the preset reference radiation matching index and the larger the value of the preset set radiation coefficient. A method for obtaining the value of the preset reference radiation matching index is provided. The regional monitoring record of the point analysis set determined according to the reference radiation matching index of each radiation key point is recorded as the first division reference record, and the minimum value of the reference radiation matching index of each radiation key point in each point analysis set in the first division reference record that meets the user's requirement for the validity of the monitoring data is recorded as the preset reference radiation matching index. A method for obtaining the value of the preset set radiation coefficient is provided. The regional monitoring record of the point analysis set determined according to the interactive radiation coefficient of each radiation key point is recorded as the second division reference record, and the minimum value of the reference interactive radiation coefficient of each point analysis set in the second division reference record that meets the user's requirement for the validity of the monitoring data is recorded as the preset reference interactive radiation coefficient.

[0091] Specifically, the coincidence degree of the data change trends and the duration of mutation of each radiation key point in the point analysis set of the key monitoring points in the composite distribution state is periodically detected, and the point monitoring parameters are increased according to the reference trend coincidence degree and the duration of mutation.

[0092] The increased value of the point monitoring parameter is positively correlated with the reference trend coincidence degree and the duration of mutation.

[0093] Among them, a cyclic composite reference monitoring period is applied in the present invention. The duration of the composite reference monitoring period can be determined by the user. A duration of the composite reference monitoring period is provided. The composite reference monitoring period is 15 minutes. At the end of each composite reference monitoring period, the point monitoring parameters are adjusted according to the data change trend coincidence degree and the mutation duration. For any key monitoring point that has completed the division of the point analysis set, the data change trend coincidence degree and the mutation duration of each radiation key point in the point analysis set of this key monitoring point are detected. The composite reference coefficient is determined according to the reference trend coincidence degree and the reference mutation duration. The composite reference coefficient = ln (reference trend coincidence degree × reference mutation duration). The reference trend coincidence degree is the average value of the data change trend coincidence degrees of each radiation key point in the point analysis set. The reference mutation duration is the maximum value of the mutation durations of each radiation key point in the point analysis set. For any radiation key point in the point analysis set of this key monitoring point, the mutation duration is the duration between the moment when the monitoring parameter first mutates in the current composite reference monitoring period and the current moment. The data change trend coincidence degree = the duration of the key trend similarity stage of this radiation key point and the key monitoring node in the current composite reference monitoring period / the duration of the composite reference monitoring period. At the end of each composite reference monitoring period, a data change trend curve is generated according to the point data obtained each time in the corresponding composite reference monitoring period. The data change trend curve is divided into several stage curves, and the durations corresponding to each stage curve are the same. If the change trend difference coefficient of a set of several consecutive stage curves between a radiation key point and this key monitoring point is less than the preset change trend difference coefficient, then the above set of several consecutive stage curves is recorded as the key trend similarity stage. For a single key trend similarity stage, the change trend difference coefficient of the sets of two corresponding stage curves = ln (similar stage curve proportion / overall change difference value). The similar stage curve proportion = the number of similar stage curves / the number of stage curves included in the key trend similarity stage. If the absolute value of the difference between the data change values of two stage curves is less than the preset stage curve difference value, then it is determined that the above two stage curves are similar stage curves. The data change value is the difference between the point value corresponding to the end point of the stage curve and the point value corresponding to the starting point. The overall change difference value is the absolute value of the difference between the overall change values of the sets of two stage curves. The overall change value is the difference obtained by subtracting the minimum point value from the maximum point value in the set of stage curves;

[0094] The values of the preset variation trend difference coefficient and the preset stage curve difference value can be determined by the user according to the actual working scenario. For example, the user can set them according to the regional monitoring records. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset variation trend difference coefficient and the smaller the value of the preset stage curve difference value. A value of the preset variation trend difference coefficient is provided, and the value of the preset variation trend difference coefficient is 1% of the numerical span of the data fluctuation range corresponding to the point data. A value of the preset stage curve difference value is provided, and the value of the preset stage curve difference value is 5% of the numerical span of the data fluctuation range corresponding to the point data.

[0095] Specifically, for any conventional monitoring point, if the monitoring difference coefficient of the conventional monitoring point is greater than the preset monitoring difference coefficient, the point monitoring parameter is increased and adjusted according to the monitoring difference coefficient.

[0096] The monitoring difference coefficient is determined according to the monitoring difference value of the geological monitoring point with an interactive radiation relationship with the conventional monitoring point and the interactive radiation coefficient.

[0097] The increased value of the point monitoring parameter is positively correlated with the monitoring difference coefficient.

[0098] Among them, for a single conventional monitoring point, the monitoring difference coefficient is the sum of the products of the average value of the monitoring difference values of the geological monitoring points with an interactive radiation relationship with the conventional monitoring point and the corresponding difference evaluation coefficients. For a single geological monitoring point with an interactive radiation relationship with the conventional monitoring point, the monitoring difference value is the absolute value of the difference between the point monitoring parameters of the geological monitoring point and the conventional monitoring point. The difference evaluation coefficient is positively correlated with the interactive radiation coefficient between the geological monitoring point and the conventional monitoring point. The value of the preset monitoring difference coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the regional monitoring records. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset monitoring difference coefficient. A method for obtaining the value of the preset monitoring difference coefficient is provided, and the average value of the monitoring difference coefficients of the conventional monitoring points that are secondarily adjusted in the regional monitoring records that meet the user's requirements for the validity of the monitoring data is recorded as the preset monitoring difference coefficient.

[0099] Specifically, the transmission communication strategy is determined periodically according to the transmission execution coefficients of each data communication node.

[0100] If the transmission execution coefficient of a data communication node is greater than the preset transmission execution coefficient, a compensation transmission strategy is used to transmit the associated transmission data of the data communication node.

[0101] If the transmission execution coefficient of a data communication node is less than or equal to a preset transmission execution coefficient, an auxiliary transmission strategy is adopted to transmit the associated transmission data of the data communication node, and the transmission channel combination result is determined according to the interference transmission coefficient and the transmission matching coefficient.

[0102] Among them, in the present invention, a cyclic transmission evaluation period is applied. The duration of the transmission evaluation period can be determined by the user himself. A duration of the transmission evaluation period is provided. The transmission evaluation period is 120 min. At the end of each transmission evaluation period, the transmission execution coefficient of each data communication node is detected, and the transmission communication strategy is determined according to the transmission execution coefficient. And at the next transmission evaluation period, the point data of the associated transmission points are uploaded according to the determined transmission communication strategies of each data communication node. In the present invention, a cyclic data transmission period is also applied. The duration of the data transmission period can be determined by the user himself. A duration of the data transmission period is provided. The data transmission period is 5 min. At the end of each transmission evaluation period, the point data of each associated transmission point are uploaded. The transmission execution coefficient is the sum of the critical node ratio and the data mutation coefficient. For a single data communication node, the critical node ratio = the number of critical monitoring nodes in the associated transmission points of the data communication node / the number of the associated transmission points of the data communication node. The data mutation coefficient is the sum of the number of times of monitoring parameter mutations in each associated transmission point of the data communication node.

[0103] The value of the preset transmission execution coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the regional monitoring record. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset transmission execution coefficient. A method for determining the value of the preset transmission execution coefficient is provided. The regional monitoring record that uses the compensation transmission strategy to transmit the associated transmission data of the data communication node is recorded as the transmission reference record. The minimum value of the transmission execution coefficient of the data communication node in the transmission reference record that meets the user's requirement for the validity of the monitoring data is recorded as the preset transmission execution coefficient.

[0104] For a single data communication node whose transmission execution coefficient is less than or equal to the preset transmission execution coefficient, the transmission channel combination result is determined according to the interference transmission coefficient and the transmission matching coefficient. The interference transmission coefficient is determined according to the environmental interference parameter and the propagation loss parameter. The interference transmission coefficient is the sum of the environmental interference parameter and the propagation loss parameter. The environmental interference parameter is the humidity at the location of the data communication node. The propagation loss parameter is the number of buildings and strong signal interference sources between the corresponding data communication node and the signal receiving location. How to determine the environmental interference parameter and the propagation loss parameter is easily understood by those skilled in the art and will not be elaborated here.

[0105] If the environmental interference parameter is greater than the preset environmental interference parameter, adjust the proportion of the wired transmission channel according to the transmission matching coefficient. The transmission matching coefficient is the product of the data mutation coefficient and the reference radiation coefficient of this data communication node. The reference radiation coefficient is the average value of the interaction radiation coefficients of the associated transmission points of this data communication node. Adjust the proportion of the wired transmission channel to increase according to the transmission matching coefficient. The increase value of the proportion of the wired transmission channel is positively correlated with the transmission matching coefficient. Proportion of wired transmission channel = Amount of data transmitted using the wired transmission channel / Amount of associated transmission data of this data communication node;

[0106] For the value of the preset environmental interference parameter, the user can determine it according to the actual working scenario. For example, the user can set it according to the regional monitoring records. The higher the user's requirement for the validity of the monitoring data, the smaller the value of the preset environmental interference parameter. Provide a method for obtaining the value of the preset environmental interference parameter. Denote the average value of the environmental interference parameters of the data communication nodes that increase the proportion of the wired transmission channel in the regional monitoring records that meet the user's requirement for the validity of the monitoring data as the preset environmental interference parameter.

[0107] Specifically, when transmitting the associated transmission data of a data communication node based on the compensation transmission strategy, perform relevant analysis on the associated transmission data of this data communication node, including,

[0108] Determine the data compensation method for the associated transmission data according to the interaction radiation coefficient of the associated transmission points of the data communication node;

[0109] If the data interaction radiation coefficient is greater than the preset data interaction radiation coefficient, determine the interaction data set based on the interaction radiation coefficient;

[0110] If the data interaction radiation coefficient is less than or equal to the preset data interaction radiation coefficient, determine the transmission compensation data based on the mutation duration period;

[0111] The associated transmission data is the set of data to be transmitted at the associated transmission points of this data communication node. The data to be transmitted is the point data of the associated transmission points obtained each time within the data transmission period.

[0112] Specifically, perform screening of compensation transmission data for each interaction data set of the data communication node;

[0113] For a single interaction data set, determine the compensation priority coefficient of each data to be transmitted within this interaction data set according to the mutation coverage period and the mutation duration period of the associated transmission points corresponding to this interaction data set;

[0114] The interaction radiation coefficient between the associated monitoring nodes within any one interaction data set is greater than the preset set interaction coefficient.

[0115] Among them, for a single data communication node, the data interaction radiation coefficient is the average value of the interaction radiation coefficients between the associated transmission points of the data communication node. The value of the preset data interaction radiation coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the regional monitoring records, providing a method for obtaining the value of the preset data interaction radiation coefficient. The compensation judgment record for determining the interaction data set based on the interaction radiation coefficient will be used, and the minimum value of the data interaction radiation coefficients of each data communication node in the compensation judgment record that meets the user's requirements for the validity of the monitoring data will be recorded as the preset data interaction radiation coefficient;

[0116] For a data communication node with a single data interaction radiation coefficient greater than the preset data interaction radiation coefficient, the data to be transmitted of the data communication node is divided to ensure that the interaction radiation coefficients between the associated monitoring nodes corresponding to each data to be transmitted in the obtained interaction data set are all greater than the preset set interaction coefficient, and the mutation coverage period and mutation duration period of each associated transmission point corresponding to each data to be transmitted in each interaction data set of the data communication node are detected. For any data to be transmitted in a single interaction data set, the compensation priority coefficient , where a is the duration of the mutation coverage period of the associated transmission point corresponding to the data to be transmitted, b is the duration of the mutation duration period of the associated transmission point corresponding to the data to be transmitted. The mutation duration period is the set of mutation periods of the associated transmission point, and the mutation coverage period is the set of coincident mutation periods of the associated transmission point. If the associated transmission point has the same mutation period as other associated transmission points corresponding to the interaction data set, then this mutation period will be recorded as the coincident mutation period of the associated transmission point. The transmission compensation data for each interaction data set is determined according to the compensation priority coefficient. The data to be transmitted with a larger compensation priority coefficient is more preferably used as the transmission compensation data for the corresponding interaction data set. The user can determine the number of selected transmission compensation data according to actual needs. The higher the user's requirement for the accuracy of the monitoring result, the larger the number of selected transmission compensation data; the higher the user's requirement for the processing efficiency of the monitoring process, the smaller the number of selected transmission compensation data;

[0117] For a data communication node with a single - data interaction radiation coefficient less than or equal to a preset data - interaction radiation coefficient, the associated transmission point with a mutation - duration period longer than a preset compensation - duration period is recorded as transmission - compensated data; for the determined transmission - compensated data, multiple communication methods are set, that is, multiple communication transmission methods are used to transmit this part of the data, which ensures the effectiveness of the monitoring results while avoiding redundancy in the data at the points where transmission is to be avoided; the values of the preset set - interaction coefficient and the preset compensation - duration period can be determined by the user according to the actual working scenario. For example, the user can set according to the regional monitoring records. The higher the user's requirement for the effectiveness of the monitoring data, the larger the value of the preset set - interaction coefficient and the larger the value of the preset compensation - duration period. A method for obtaining the value of the preset set - interaction coefficient is provided, where the average value of the interaction radiation coefficients between the associated monitoring nodes corresponding to each data to be transmitted in each interaction - data set in the regional monitoring records that meet the user's requirement for the effectiveness of the monitoring data is recorded as the preset set - interaction coefficient. A method for obtaining the value of the preset compensation - duration period is provided, where the average value of the mutation - duration periods of the compensation - transmitted data in the regional monitoring records that meet the user's requirement for the effectiveness of the monitoring data is recorded as the preset compensation - duration period.

[0118] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0119] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A debris flow monitoring method based on multimode data communication, characterized in that Including: Determine the monitoring status of each geological monitoring point in the target monitoring area according to the point interference coefficient and the point radiation coefficient, and determine the data monitoring strategy for each geological monitoring point according to the monitoring status. The data monitoring strategy is to monitor the point data of the geological monitoring point based on the associated monitoring strategy, or to monitor the point data of the geological monitoring point based on the reference monitoring strategy; When monitoring based on the associated monitoring strategy, determine the parameter setting method according to the distribution status of each key monitoring point. The parameter setting method is to determine the point monitoring parameters according to the mutation duration and the monitoring mutation index, or to determine the point monitoring parameters according to the reference trend coincidence degree and the mutation duration of the point analysis set; When monitoring based on the reference monitoring strategy, periodically set the point monitoring parameters of each conventional monitoring point, and determine whether to perform secondary adjustment on the point monitoring parameters based on the monitoring difference coefficient; Periodically determine the transmission execution coefficient according to the proportion of key monitoring nodes and the data mutation coefficient, and determine the transmission communication strategy according to the transmission execution coefficient of each data communication node. The transmission communication strategy is to transmit the associated transmission data of the data communication node by adopting the compensation transmission strategy or the auxiliary transmission strategy; For any key monitoring point that has completed the division of the point analysis set, detect the data change trend coincidence degree and the mutation duration of each radiation key point in the point analysis set of the key monitoring point. The reference trend coincidence degree is the average value of the data change trend coincidence degrees of each radiation key point in the point analysis set, and the reference mutation duration is the maximum value of the mutation durations of each radiation key point in the point analysis set.

2. The debris flow monitoring method based on multi-mode data communication according to claim 1, wherein When the geological monitoring point is in the key monitoring state where the point interference coefficient is greater than the preset point interference coefficient or the point radiation coefficient is greater than the preset point radiation coefficient, then monitor the point data of the geological monitoring point based on the associated monitoring strategy. The associated monitoring strategy includes: Determine the parameter setting method according to the distribution status of each key monitoring point; If a key monitoring point is in the limited distribution state, periodically determine whether to adjust the point monitoring parameters according to the range mutation cycle index and the reference monitoring mutation index; If a key monitoring point is in the composite distribution state, determine the division method of the point analysis set of the key monitoring point according to the radiation key proportion, and adjust the point monitoring parameters based on the point analysis set.

3. The debris flow monitoring method based on multimode data communication according to claim 2, characterized in that When the geological monitoring point is in the conventional monitoring state where the point interference coefficient is less than or equal to the preset point interference coefficient and the point radiation coefficient is less than or equal to the preset point radiation coefficient, then monitor the point data of the geological monitoring point based on the reference monitoring strategy. The reference monitoring strategy includes: Periodically determine the point monitoring parameters of each conventional monitoring point according to the point evaluation parameter and the risk reference coefficient, and determine whether to adjust the point monitoring parameters of each conventional monitoring point based on the monitoring difference coefficient; The point monitoring parameters are respectively in a positive correlation with the point evaluation parameter and the risk reference coefficient; The conventional monitoring point is a geological monitoring point in the conventional monitoring state.

4. The debris flow monitoring method based on multimode data communication according to claim 3, characterized in that The distribution state is determined according to the point distribution parameters of the key monitoring points, and the point distribution parameters are determined according to the number of radiation key points and the distribution parameters within the distribution reference range; If the point distribution parameter of the key monitoring point is greater than the preset point distribution parameter, it is determined that the key monitoring point is in a composite distribution state; If the point distribution parameter of the key monitoring point is less than or equal to the preset point distribution parameter, it is determined that the key monitoring point is in a limited distribution state; The distribution reference range is determined according to the point radiation coefficient of the key monitoring point; The key monitoring point is a geological monitoring point in a key monitoring state.

5. The debris flow monitoring method based on multimode data communication according to claim 4, characterized in that When the key monitoring point is in a composite distribution state, the division method of the point analysis set of the key monitoring point is determined according to the radiation key ratio; If the radiation key ratio of the key monitoring point is greater than the preset radiation key ratio, the point analysis set is determined according to the reference radiation matching index of each radiation key point; If the radiation key ratio of the key monitoring point is less than or equal to the preset radiation key ratio, the point analysis set is determined according to the interactive radiation coefficient of each radiation key point.

6. The debris flow monitoring method based on multimode data communication according to claim 5, characterized in that Periodically detect the data change trend coincidence degree and the mutation duration of each radiation key point in the point analysis set of the key monitoring point in the composite distribution state, and increase and adjust the point monitoring parameters according to the reference trend coincidence degree and the mutation duration; The increased value of the point monitoring parameter is positively correlated with the reference trend coincidence degree and the mutation duration.

7. The debris flow monitoring method based on multimode data communication according to claim 3, characterized in that For any conventional monitoring point, if the monitoring difference coefficient of the conventional monitoring point is greater than the preset monitoring difference coefficient, the point monitoring parameter is increased and adjusted according to the monitoring difference coefficient; The monitoring difference coefficient is determined according to the monitoring difference value and the interactive radiation coefficient of the geological monitoring point having an interactive radiation relationship with the conventional monitoring point; The increased value of the point monitoring parameter is positively correlated with the monitoring difference coefficient.

8. The debris flow monitoring method based on multi-mode data communication according to claim 7, characterized in that Periodically determine the transmission communication strategy according to the transmission execution coefficient of each data communication node; If the transmission execution coefficient of a data communication node is greater than the preset transmission execution coefficient, the associated transmission data of the data communication node is transmitted by using a compensation transmission strategy; If the transmission execution coefficient of a data communication node is less than or equal to the preset transmission execution coefficient, the associated transmission data of the data communication node is transmitted by using an auxiliary transmission strategy, and the transmission channel combination result is determined according to the static interference transmission coefficient and the transmission matching coefficient.

9. The debris flow monitoring method based on multimode data communication according to claim 8, characterized in that, When transmitting the associated transmission data of a data communication node based on the compensation transmission strategy, relevant analysis is performed on the associated transmission data of the data communication node, including, determining the data compensation method of the associated transmission data according to the interactive radiation coefficient of the associated transmission point of the data communication node; If the data interactive radiation coefficient is greater than the preset data interactive radiation coefficient, the interactive data set is determined based on the interactive radiation coefficient; If the data interactive radiation coefficient is less than or equal to the preset data interactive radiation coefficient, the transmission compensation data is determined based on the mutation coverage period; The associated transmission data is a set of data to be transmitted at the associated transmission points of the data communication node, and the data to be transmitted is the point data of the associated transmission points obtained each time within the data transmission cycle.

10. The debris flow monitoring method based on multi-mode data communication according to claim 9, characterized in that Perform compensated transmission data screening for each interaction data set of the data communication node; For a single interaction data set, determine the compensation priority coefficient of each data to be transmitted within the interaction data set according to the mutation coverage period and the mutation duration period of the associated transmission points corresponding to the interaction data set; The interaction radiation coefficient between the associated monitoring nodes within any one interaction data set is greater than the preset set interaction coefficient.

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