Slope stability online monitoring method and system based on intelligent sensor

Abstract

The invention discloses a slope stability online monitoring method and system based on an intelligent sensor, and relates to the technical field of slope monitoring. The method comprises the following steps: analyzing the influence degree of stress data according to environmental influence parameters of the stress data; performing first-level acquisition adjustment, first-level transmission adjustment and standby transmission adjustment on the stress data with the first-level influence degree; carrying out data correction and secondary transmission adjustment on the stress data with the stress data influence degree being secondary; and carrying out second-level acquisition and adjustment on the stress data with the stress data influence degree of three levels, and transmitting the stress data to a receiving end through wireless transmission. According to the method and the device, the stress acquisition process and the stress transmission process are subjected to graded adjustment when the stress of the side slope is monitored, so that the effect of accurately monitoring the stability of the side slope by accurately monitoring the stress of the side slope in time is achieved; the problem that in the prior art, the accuracy of slope stability monitoring according to a sensor is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of slope monitoring, and in particular to an online monitoring method and system for slope stability based on intelligent sensors. Background Art

[0002] Online monitoring of slope stability is a technical means to monitor the stability and safety of slope engineering in real time. However, due to the complex geological environment, variable natural factors and the influence of human activities, the stability and safety of slope engineering face severe challenges. Although traditional slope engineering monitoring methods can provide early warning information to a certain extent, they have problems such as limited monitoring range, low monitoring frequency and high maintenance cost. Therefore, an intelligent monitoring and early warning method has emerged that can monitor slope changes in real time, automatically and remotely, and warn of slope disasters in advance, that is, online monitoring of slope stability through intelligent sensors.

[0003] The existing slope stability monitoring system uses stress sensors, displacement sensors, moisture content sensors and other key data of the slope in real time to monitor the stress, displacement, moisture content and other key data of the slope, and combines Internet of Things technology, big data processing and artificial intelligence to monitor and evaluate the stability of the slope.

[0004] For example, a patent application with publication number: CN119442407A discloses a slope partition anisotropic stability analysis method and device, which includes: obtaining geological structure information of the slope; constructing a finite element model based on the geological structure information; performing partition anisotropy analysis on the slope rock and soil based on the finite element model; constructing a partition anisotropy full-process change analysis model under dynamic load application; coupling the full-process change analysis model with the seepage field for analysis and processing to obtain the slope stability analysis result.

[0005] For example, the invention patent with announcement number CN118132899B announces a system for open-pit mine slope stability safety assessment, including: sensor layout module, slope data acquisition module, data preprocessing module, rock and soil crack monitoring module, slope stress analysis module, weight setting and allocation module, stability model establishment module, safety level assessment module, and assessment result output module. Sensors are used to collect primary data information of open-pit mine slopes, and the rock and soil permeability coefficient is calculated through the rock and soil crack monitoring mathematical model. The slope stress coefficient is calculated through the slope stress analysis mathematical model. The corresponding weights are set and a mathematical model is established to calculate the mine slope stability index, judge the mine slope stability, and conduct a safety level assessment on the mine slope.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, during the use of sensors for monitoring slope stability, the slope environment may suddenly change, which will affect the sensor's data acquisition and data transmission process, resulting in inaccurate results of slope stability monitoring based on the data obtained by the sensor, and there is a problem of low accuracy of slope stability monitoring based on the sensor. Summary of the invention

[0007] The embodiments of the present application solve the problem of low accuracy of slope stability monitoring based on sensors in the prior art by providing an online slope stability monitoring method and system based on intelligent sensors, and achieve accurate slope stability monitoring based on sensors.

[0008] An embodiment of the present application provides an online monitoring method for slope stability based on an intelligent sensor, comprising the following steps: monitoring the process of acquiring stress data of a slope to obtain parameters of stress data affected by the environment, and analyzing the degree of influence of the stress data according to the parameters of stress data affected by the environment; performing first-level acquisition adjustment, first-level transmission adjustment, and backup transmission adjustment on stress data with a first-level influence degree, and transmitting the stress data to a receiving end via wireless transmission; performing data correction and second-level transmission adjustment on stress data with a second-level influence degree, and transmitting the stress data to a receiving end via wireless transmission; performing second-level acquisition adjustment on stress data with a third-level influence degree, and transmitting the stress data to a receiving end via wireless transmission.

[0009] Furthermore, the stress data is affected by the environment parameters including: stress data variation range, stress data quantity, stress sensor environment groundwater level, stress sensor environment pore water pressure and stress sensor environment groundwater flow velocity; the specific process of analyzing the degree of stress data influence according to the stress data is affected by the environment parameters is as follows: considering the stress data variation range and the preset stress variation range for data range deviation, and weighting the result of the data range deviation consideration by the data range weight ratio to obtain the data range index; considering the stress data quantity deviation by the stress data quantity quantity and the preset stress data quantity, and weighting the result of the data quantity deviation consideration by the data quantity weight ratio to obtain the data quantity index; coupling the data range index and the data quantity index, and weighting the result of the coupling processing by the stress data variation weight ratio to obtain the stress data variation coefficient; comparing the stress sensor environment groundwater level with the stress sensor preset environment groundwater level, and then considering the groundwater level height deviation, and weighting the result of the groundwater level height deviation consideration by the groundwater level height weight ratio. The groundwater level height index is obtained by calculation; the pore water pressure deviation is considered after the comparison processing of the stress sensor environment pore water pressure and the preset environment pore water pressure of the stress sensor, and the result of the pore water pressure deviation consideration is weighted by the pore water pressure weight ratio to obtain the pore water pressure index; the groundwater flow velocity of the stress sensor environment is compared with the groundwater flow velocity of the stress sensor preset environment, and the groundwater flow velocity deviation is considered, and the result of the groundwater flow velocity deviation consideration is weighted by the groundwater flow velocity weight ratio to obtain the groundwater flow velocity index; the groundwater level height index, the pore water pressure index and the groundwater flow velocity index are coupled, and the sensor environment change coefficient is weighted by the sensor environment change weight ratio to obtain the sensor environment change coefficient; the stress data environmental impact degree index is obtained by coupling the stress data change coefficient and the sensor environment change coefficient, and the stress data environmental impact degree index is used to quantitatively analyze the degree of environmental impact of stress data during data acquisition; the degree of stress data impact is analyzed according to the stress data environmental impact degree index.

[0010] Furthermore, the specific analysis process of analyzing the degree of influence of stress data according to the environmental influence degree index of stress data is: comparing the environmental influence degree index of stress data with the preset first environmental influence degree threshold and the second environmental influence degree threshold obtained from the database; when the environmental influence degree index of stress data is less than the preset first environmental influence degree threshold obtained from the database, the degree of influence of stress data is recorded as level three; when the environmental influence degree index of stress data is not less than the preset first environmental influence degree threshold obtained from the database and not greater than the second environmental influence degree threshold, the degree of influence of stress data is recorded as level two; when the environmental influence degree index of stress data is greater than the second environmental influence degree threshold, the degree of influence of stress data is recorded as level one.

[0011] Furthermore, the first-level acquisition adjustment refers to obtaining a new acquisition frequency of stress data according to the index of the degree to which stress data is affected by the environment, and acquiring stress data at the new acquisition frequency of stress data; the first-level transmission adjustment refers to obtaining a new transmission frequency of stress data according to the index of the degree to which stress data is affected by the environment, and wirelessly transmitting the stress data to the receiving end at the new transmission frequency of stress data; the backup transmission adjustment refers to modulating the stress data acquired by acquiring data at the new acquisition frequency of stress data onto an ultra-wideband signal for wireless transmission to the receiving end.

[0012] Furthermore, the specific process of the data correction is: collecting spare stress data at the collection frequency of stress data when the degree of stress data influence is level 2 through spare equipment; obtaining stress data adjustment amount through the stress data environmental influence degree index; performing assignment operation on each stress data through the stress data weight ratio to obtain each stress data assignment result, performing assignment operation on each spare stress data through the spare stress data weight ratio to obtain each spare stress data assignment result, coupling each stress data assignment result and each spare stress data assignment result with the stress data adjustment amount to obtain each target stress data; the specific process of the level 2 transmission adjustment is: obtaining transmission environmental influence parameters through monitoring the wireless transmission process of the target stress data; obtaining the transmission environmental influence degree index according to the transmission environmental influence parameters, the transmission environmental influence degree index is used to quantitatively analyze the degree of environmental influence of the target stress data during the wireless transmission process; analyzing the degree of environmental influence of the target stress data during the wireless transmission process according to the transmission environmental influence degree index; judging whether to perform level 2 transmission adjustment according to the degree of environmental influence of the target stress data during the wireless transmission process.

[0013] Furthermore, the transmission parameters affected by the environment include: RMS delay spread of stress data transmission, coherent bandwidth of stress data transmission, stress data transmission signal receiving strength and stress data transmission signal path loss value; the specific process of obtaining the transmission environmental impact degree index based on the analysis of the transmission environmental impact parameters is: coupling the RMS delay spread of stress data transmission with the stress data transmission symbol period and then comparing them with the stress data transmission symbol period, and weighting the comparison result through the delay spread weight ratio to obtain the delay spread index; performing coherent broadband comparison processing on the stress data transmission coherent bandwidth and the stress data transmission signal bandwidth, and comparing the coherent broadband through the coherent broadband weight ratio. The result of the ratio processing is weighted to obtain the coherent broadband index; the signal strength deviation of the stress data transmission signal reception strength and the stress data transmission signal standard reception strength is considered, and the result of the signal strength deviation consideration is weighted by the signal strength weight ratio to obtain the signal strength index; the stress data transmission signal path loss value is coupled with the stress data transmission signal standard path loss value and then compared with the stress data transmission signal standard path loss value, and the path loss index is obtained by weighting the result of the comparison processing through the path loss weight ratio; the delay spread index, coherent broadband index, signal strength index and path loss index are coupled to obtain the transmission environmental impact index.

[0014] Furthermore, the specific analysis process of analyzing the degree of environmental impact of target stress data during wireless transmission according to the transmission environmental impact index is: comparing the transmission environmental impact index with a preset transmission impact threshold obtained from a database; when the transmission environmental impact index is less than the preset transmission impact threshold obtained from the database, it indicates that the degree of environmental impact of the target stress data during wireless transmission is within a qualified range; when the transmission environmental impact index is not less than the preset transmission impact threshold obtained from the database, it indicates that the degree of environmental impact of the target stress data during wireless transmission is within an unqualified range; the specific process of judging whether to perform secondary transmission adjustment according to the degree of environmental impact of the target stress data during wireless transmission is: when the degree of environmental impact of the target stress data during wireless transmission is within a qualified range, no secondary transmission adjustment is performed; when the degree of environmental impact of the target stress data during wireless transmission is within an unqualified range, secondary transmission adjustment is performed.

[0015] Furthermore, the specific process of the secondary transmission adjustment is: obtaining a transmission power increase value according to the transmission environmental impact index, increasing the signal transmission power of the target stress data according to the transmission power increase value, transmitting the target stress data again after the signal transmission power is increased, judging whether the transmission environmental impact index is less than a preset transmission impact threshold obtained from the database, and analyzing whether the signal-to-noise ratio of the target stress data is greater than a preset target signal-to-noise ratio obtained from the database; when both the transmission environmental impact index is less than the preset transmission impact threshold obtained from the database and the signal-to-noise ratio of the target stress data is greater than the preset target signal-to-noise ratio obtained from the database are satisfied, the secondary transmission adjustment is terminated.

[0016] Furthermore, the specific process of the secondary acquisition adjustment is: obtaining a corresponding data acquisition frequency reduction range according to the environmental impact index of stress data, reducing the acquisition frequency of stress data according to the data acquisition frequency reduction range, acquiring stress data according to the reduced acquisition frequency, performing spectrum analysis on the signal of the collected stress data to obtain the lowest frequency of the signal, comparing the acquisition frequency of the stress data with the lowest frequency of the signal to obtain a ratio, comparing the ratio with a preset ratio, and when the ratio is less than the preset ratio, stopping the secondary acquisition adjustment and transmitting the stress data to the receiving end via wireless transmission.

[0017] The embodiment of the present application provides an online monitoring system for slope stability based on intelligent sensors, including: a data acquisition module, a primary impact analysis module, a secondary impact analysis module and a tertiary impact analysis module; wherein the data acquisition module is used to monitor the process of acquiring stress data of the slope to obtain environmental impact parameters of the stress data, and analyze the degree of influence of the stress data according to the environmental impact parameters of the stress data; the primary impact analysis module is used to perform primary collection adjustment, primary transmission adjustment and backup transmission adjustment on stress data with a primary impact degree of stress data, and transmit the stress data to a receiving end through wireless transmission; the secondary impact analysis module is used to perform data correction and secondary transmission adjustment on stress data with a secondary impact degree of stress data, and transmit the stress data to a receiving end through wireless transmission; the tertiary impact analysis module is used to perform secondary collection adjustment on stress data with a third impact degree of stress data, and transmit the stress data to a receiving end through wireless transmission.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The process of obtaining the stress data of the slope is monitored to obtain the parameters of the stress data affected by the environment. The degree of influence of the stress data is analyzed according to the parameters of the stress data affected by the environment, and corresponding adjustments are made according to the level of the degree of influence of the stress data. After the adjustment, the stress data is transmitted to the receiving end through wireless transmission, thereby realizing accurate monitoring of the slope stability through the stress sensor, which effectively solves the problem of low accuracy of slope stability monitoring based on sensors in the prior art.

[0019] 2. By monitoring the process of obtaining the stress data of the slope, the parameters of the stress data affected by the environment are obtained. The degree of influence of the stress data is analyzed according to the parameters of the stress data affected by the environment, and corresponding adjustments are made according to the degree of influence of the stress data, thereby realizing intelligent and accurate adjustments based on the environment in which the stress sensor is located and the influence it receives.

[0020] 3. When the stress data is affected to the first level, the stress data is adjusted to the first level by performing the first-level collection adjustment, the first-level transmission adjustment and the backup transmission adjustment, and the stress data is transmitted to the receiving end through wireless transmission, so that when the stress data acquired by the stress sensor changes in a large range or the environment changes significantly, the stress data can be quickly transmitted to the receiving end, which is conducive to the receiving end to receive the stress data in a timely and rapid manner and perform corresponding processing.

[0021] 4. When the stress data is affected to the second level, data correction and secondary transmission adjustment are performed on the stress data whose degree of influence is the second level, and the stress data is transmitted to the receiving end through wireless transmission, so that the corrected more accurate target stress data is more accurately transmitted to the receiving end, which is conducive to the receiving end to perform subsequent related processing according to the more accurate target stress data.

[0022] 5. When the degree of influence of stress data is level three, secondary collection and adjustment is performed on stress data with a degree of influence of stress data being level three, and the stress data is transmitted to the receiving end through wireless transmission, thereby reducing the collection frequency of stress data on the basis of accurate data acquisition by the stress sensor, so that on this basis, when the stress data is transmitted to the receiving end, the receiving end improves the data processing speed due to the reduction in the amount of stress data. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A flow chart of an online slope stability monitoring method based on an intelligent sensor provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of an online slope stability monitoring system based on intelligent sensors provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The embodiment of the present application solves the problem of low accuracy of slope stability monitoring based on sensors in the prior art by providing an online slope stability monitoring method and system based on intelligent sensors. The process of acquiring stress data of the slope is monitored to obtain parameters of stress data affected by the environment, and the degree of influence of the stress data is analyzed according to the parameters of stress data affected by the environment. When the degree of influence of the stress data is level one, the stress data with the level one influence is subjected to level one acquisition adjustment, level one transmission adjustment and standby transmission adjustment, and the stress data is transmitted to the receiving end through wireless transmission; when the degree of influence of the stress data is level two, the stress data with the level two influence is subjected to data correction and level two transmission adjustment, and the stress data is transmitted to the receiving end through wireless transmission; when the degree of influence of the stress data is level three, the stress data with the level three influence is subjected to level two acquisition adjustment, and the stress data is transmitted to the receiving end through wireless transmission, thereby realizing accurate monitoring of slope stability through stress sensors.

[0025] The technical solution in the embodiment of the present application is to solve the problem of low accuracy of slope stability monitoring by sensors, and the overall idea is as follows: By monitoring the process of obtaining the stress data of the slope, the parameters of stress data affected by the environment are obtained, and the stress data environmental impact index is obtained according to the stress data environmental impact parameters. The degree of stress data impact is analyzed according to the stress data environmental impact index; when the stress data impact degree is level one, the stress data with the level one impact degree is adjusted to level one, the stress data with the level one impact degree is adjusted to level one, and the stress data is transmitted to the receiving end through wireless transmission; when the stress data impact degree is level two, the stress data with the level two impact degree is corrected to obtain the target stress data, and the target stress data is monitored. The transmission environment impact parameters are obtained during the wireless transmission process, and the transmission environment impact degree index is obtained based on the analysis of the transmission environment impact parameters. The degree of environmental impact of the target stress data during the wireless transmission process is analyzed based on the transmission environment impact degree index. According to the degree of environmental impact of the target stress data during the wireless transmission process, it is determined whether to perform secondary transmission adjustment, and the stress data is transmitted to the receiving end through wireless transmission; when the stress data is affected to the third level, the stress data with the third level of stress data impact is subject to secondary collection and adjustment, and the stress data is transmitted to the receiving end through wireless transmission, thereby achieving the effect of accurately monitoring the slope stability through the stress sensor.

[0026] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0027] like Figure 1 As shown, it is a flow chart of the online monitoring method of slope stability based on intelligent sensors provided by an embodiment of the present application, and the method includes the following steps: monitoring the process of acquiring stress data of the slope to obtain parameters of stress data affected by the environment, and analyzing the degree of influence of the stress data according to the parameters of stress data affected by the environment; when the degree of influence of the stress data is level one, performing level one acquisition adjustment, level one transmission adjustment and standby transmission adjustment on the stress data with the level one influence, and transmitting the stress data to the receiving end through wireless transmission; when the degree of influence of the stress data is level two, performing data correction and level two transmission adjustment on the stress data with the level two influence, and transmitting the stress data to the receiving end through wireless transmission; when the degree of influence of the stress data is level three, performing level two acquisition adjustment on the stress data with the level three influence, and transmitting the stress data to the receiving end through wireless transmission.

[0028] Furthermore, the specific process of analyzing the degree of influence of stress data according to the parameters of stress data being influenced by the environment is as follows: the parameters of stress data being influenced by the environment include: stress data variation range, stress data quantity, stress sensor environment groundwater level, stress sensor environment pore water pressure and stress sensor environment groundwater flow velocity; the stress data variation range in the parameters of stress data being influenced by the environment is considered for data range deviation with the preset stress variation range, and the result of the data range deviation consideration is weighted by the data range weight ratio to obtain the data range index; the stress data quantity deviation is considered with the stress data quantity quantity and the preset stress data quantity, and the result of the data quantity deviation consideration is weighted by the data quantity weight ratio to obtain the data quantity index; the data range index and the data quantity index are coupled, and the result of the coupling processing is weighted by the stress data variation weight ratio to obtain the stress data variation coefficient; the stress sensor environment groundwater level is compared with the stress sensor preset environment groundwater level, and then the groundwater level height deviation is considered, and the result of the groundwater level height deviation consideration is weighted by the groundwater level height weight ratio to obtain the groundwater level height index; After comparing the sensor environment pore water pressure with the preset environment pore water pressure of the stress sensor, the pore water pressure deviation is considered, and the result of the pore water pressure deviation consideration is weighted by the pore water pressure weight ratio to obtain the pore water pressure index; after comparing the stress sensor environment groundwater flow velocity with the stress sensor preset environment groundwater flow velocity, the groundwater flow velocity deviation is considered, and the result of the groundwater flow velocity deviation consideration is weighted by the groundwater flow velocity weight ratio to obtain the groundwater flow velocity index; the groundwater level height index, pore water pressure index and groundwater flow velocity index are coupled, and the result of the coupling processing is weighted by the sensor environment change weight ratio to obtain the sensor environment change coefficient; the stress data environmental impact degree index is obtained by coupling the stress data change coefficient and the sensor environment change coefficient, and the stress data environmental impact degree index is used to quantitatively analyze the degree of environmental impact of stress data during data acquisition; the degree of stress data impact is analyzed according to the stress data environmental impact degree index.

[0029] In this embodiment, the specific calculation formula of the stress data environmental impact index is: ; In the formula, It is expressed as the index of the degree of environmental influence on stress data. Expressed as the stress data variation range, Expressed as the preset stress variation range, Expressed as the number of stress data, Represents the preset quantity for stress data, Expressed as the height of the groundwater level in the stress sensor environment, Indicates the preset environmental groundwater level height of the stress sensor, Expressed as the ambient pore water pressure of the stress sensor, It represents the preset ambient pore water pressure of the stress sensor, Expressed as the groundwater flow velocity in the stress sensor environment, It is expressed as the preset groundwater velocity of the stress sensor. Expressed as the data range weight ratio, Expressed as the weight ratio of data volume, Expressed as the weighted ratio of groundwater level height, Expressed as the pore water pressure weight ratio, Expressed as the weight ratio of groundwater flow velocity, Expressed as the weight ratio of stress data change, Expressed as the weight ratio of sensor environment change.

[0030] Obtain the stress data affected by the environment when the stress sensor obtains stress data, obtain the stress data collected by the stress sensor (the stress sensor is installed in the soil of the slope for stability monitoring), sort the data in the stress data to obtain the maximum and minimum values, and subtract the minimum value from the maximum value to obtain the stress data change range (interval length), unit: Pascal (Pa) or Megapascal (MPa). Obtain the stress sensor change range from the historical data, that is, the preset stress change range, unit: Pascal (Pa) or Megapascal (MPa).

[0031] The number of stress data collected by the stress sensor is obtained, that is, the number of stress data, unit: piece. According to the collection frequency and collection time of the stress data collected by the stress sensor, the result of multiplying the two is the preset number of stress data, unit: piece.

[0032] The height of the groundwater level in the environment where the stress sensor is located (vertical to the location of the stress sensor) is measured by a water level meter or a measuring rope, and the unit is meter (m) or centimeter (cm). The height of the groundwater level in the environment where the stress sensor is located is obtained from historical data, and the unit is meter (m) or centimeter (cm).

[0033] The pore water pressure at the preset position of the stress sensor (2 cm vertically from the stress sensor) measured by a pore water pressure gauge is the environmental pore water pressure of the stress sensor, in Pascal (Pa) or kilopascal (kPa). The preset environmental pore water pressure of the stress sensor is obtained from historical data, in Pascal (Pa) or kilopascal (kPa).

[0034] The groundwater flow velocity of the stress sensor environment is measured by the sonic velocity meter at the preset position of the stress sensor (vertical to the position of the stress sensor), which is the groundwater flow velocity of the stress sensor environment, in meters per second (m / s) or centimeters per second (cm / s). The preset groundwater flow velocity of the stress sensor environment is obtained from historical data.

[0035] The rise and fall of groundwater level will change the effective stress state of slope soil. When the groundwater level rises, the pore water pressure in the soil increases, resulting in a decrease in effective stress, which may cause the slope to slide or deform. Conversely, when the groundwater level drops, the pore water pressure in the soil decreases, the effective stress increases, and the stability of the slope may be improved. This redistribution of stress will affect the measurement results of the stress sensor. The change in pore water pressure directly affects the shear strength and stability of the slope soil. The increase in pore water pressure will reduce the shear strength of the soil and increase the risk of slope sliding. The decrease in pore water pressure may increase the shear strength of the soil and enhance the stability of the slope. Therefore, the change in pore water pressure is one of the key factors affecting the accuracy of stress measurement. The flow rate of groundwater in the slope soil will also affect the stability of the slope. Fast-flowing groundwater may scour the slope soil, causing damage to the soil structure and a decrease in stability. At the same time, the dynamic water pressure generated by groundwater flow may also have an adverse effect on the slope. These factors may affect the accuracy of stress measurement.

[0036] Therefore, when the stress data change range is far different from the preset stress change range, and the stress data quantity is far different from the preset stress data quantity, it means that the data obtained by the stress sensor has changed significantly, and it may be that the environment where the stress sensor is located has changed dramatically. At this time, the groundwater in the environment where the stress sensor is located will change accordingly. When the groundwater level in the stress sensor environment is far different from the groundwater level in the preset environment of the stress sensor, the pore water pressure in the stress sensor environment is far different from the pore water pressure in the preset environment of the stress sensor, and the groundwater flow velocity in the stress sensor environment is far different from the groundwater flow velocity in the preset environment of the stress sensor, it indicates that the environment where the stress sensor is located has changed dramatically. Therefore, it is necessary to send the change to the receiving end quickly so that the receiving end can take corresponding measures in time. Therefore, when the stress data is affected by the environment, the greater the index, the faster the receiving end needs to react. An environmental impact index of stress data is obtained based on the environmental impact parameter of stress data, and the impact of stress data is analyzed based on the environmental impact index. Whether the stress sensor is affected by the environment during data collection, resulting in changes in the collected stress data and the severity of the changes, is accurately analyzed based on the impact of stress data. This is conducive to taking corresponding processing measures based on the analysis results, so that intelligent processing can be performed when facing different severity levels, which is conducive to more careful slope stability monitoring.

[0037] The data range weight ratio and the data volume weight ratio are obtained from the database. The data range weight ratio and the data volume weight ratio respectively represent the influence of the stress data variation range and the stress data quantity on the stress data environmental impact degree index. There is a mapping relationship between the stress data variation range and the stress data quantity and the corresponding data range weight ratio and the data volume weight ratio. The value range of the data range weight ratio and the data volume weight ratio is [0, 1], and the sum of the data range weight ratio and the data volume weight ratio is 1. For example, the corresponding data range weight ratio and the data volume weight ratio are obtained according to the mapping relationship between the real-time stress data variation range and the stress data quantity and the corresponding data range weight ratio and the data volume weight ratio.

[0038] The groundwater level weight ratio, pore water pressure weight ratio, and groundwater flow velocity weight ratio are obtained from the database. The groundwater level weight ratio, pore water pressure weight ratio, and groundwater flow velocity weight ratio respectively represent the influence of the stress sensor environment groundwater level height, the stress sensor environment pore water pressure, and the stress sensor environment groundwater flow velocity on the stress data environmental impact index. There is a mapping relationship between the stress sensor environment groundwater level height, the stress sensor environment pore water pressure, and the stress sensor environment groundwater flow velocity and the corresponding groundwater level weight ratio, pore water pressure weight ratio, and groundwater flow velocity weight ratio. The value range of the groundwater level weight ratio, the pore water pressure weight ratio, and the groundwater flow velocity weight ratio is [0, 1], and the sum of the groundwater level weight ratio, the pore water pressure weight ratio, and the groundwater flow velocity weight ratio is 1. For example, according to the mapping relationship between the real-time stress sensor environment groundwater level height, stress sensor environment pore water pressure and stress sensor environment groundwater flow velocity and the corresponding groundwater level height weight ratio, pore water pressure weight ratio and groundwater flow velocity weight ratio, the corresponding groundwater level height weight ratio, pore water pressure weight ratio and groundwater flow velocity weight ratio are obtained.

[0039] The stress data change weight ratio and the sensor environment change weight ratio are obtained from the database. The stress data change weight ratio and the sensor environment change weight ratio respectively represent the influence of the stress data change coefficient and the sensor environment change coefficient on the stress data environmental influence degree index. There is a mapping relationship between the stress data change coefficient and the sensor environment change coefficient and the corresponding stress data change weight ratio and the sensor environment change weight ratio. The value range of the stress data change weight ratio and the sensor environment change weight ratio is [0, 1], and the sum of the stress data change weight ratio and the sensor environment change weight ratio is 1. For example, the corresponding stress data change weight ratio and the sensor environment change weight ratio are obtained according to the mapping relationship between the real-time stress data change coefficient and the sensor environment change coefficient and the corresponding stress data change weight ratio and the sensor environment change weight ratio.

[0040] Furthermore, the specific analysis process of analyzing the degree of influence of stress data according to the environmental influence degree index of stress data is as follows: comparing the environmental influence degree index of stress data with the preset first environmental influence degree threshold and the second environmental influence degree threshold obtained from the database; when the environmental influence degree index of stress data is less than the preset first environmental influence degree threshold obtained from the database, the degree of influence of stress data is recorded as level three; when the environmental influence degree index of stress data is not less than the preset first environmental influence degree threshold obtained from the database and not greater than the second environmental influence degree threshold, the degree of influence of stress data is recorded as level two; when the environmental influence degree index of stress data is greater than the second environmental influence degree threshold, the degree of influence of stress data is recorded as level one.

[0041] In this embodiment, when the environmental impact index of stress data is less than the preset first environmental impact threshold obtained from the database, the stress data impact degree is recorded as level three, indicating that the stress data is less affected; when the environmental impact index of stress data is greater than the second environmental impact threshold, the stress data impact degree is recorded as level one, indicating that the stress data is seriously affected.

[0042] Furthermore, the specific process of performing first-level collection adjustment, first-level transmission adjustment and backup transmission adjustment on stress data with a first-level impact degree, and transmitting the stress data to the receiving end through wireless transmission is as follows: the first-level collection adjustment refers to obtaining a new stress data collection frequency according to the stress data impact degree index, and collecting data at the new stress data collection frequency to obtain stress data; the first-level transmission adjustment refers to obtaining a new stress data transmission frequency according to the stress data impact degree index, and wirelessly transmitting the stress data to the receiving end at the new stress data transmission frequency; the backup transmission adjustment refers to modulating the stress data obtained by data collection at the new stress data collection frequency onto an ultra-wideband signal for wireless transmission to the receiving end.

[0043] According to the stress data environmental impact index, the corresponding new stress data acquisition frequency and the new stress data transmission frequency are obtained from the database. There is a mapping relationship between the stress data environmental impact index and the new stress data acquisition frequency and the new stress data transmission frequency, which may be one-to-one or many-to-one. For example, according to the mapping relationship between the real-time stress data environmental impact index and the new stress data acquisition frequency and the new stress data transmission frequency, the corresponding new stress data acquisition frequency and the new stress data transmission frequency are obtained.

[0044] The stress data is collected at the new collection frequency of stress data, so that the amount of stress data is increased. The receiving end can analyze the stability of the slope based on more data, which is conducive to more accurate analysis of the slope stability.

[0045] The stress data collected at the new stress data collection frequency is transmitted at the new stress data transmission frequency, which improves the transmission speed of the stress data and is conducive to the receiving end to quickly and timely analyze the slope stability according to the received stress data so as to take corresponding actions in time.

[0046] By modulating stress data onto an ultra-wideband signal for wireless transmission to the receiving end, the stress data is transmitted to the receiving end at an extremely fast speed, providing a double layer of protection for the transmission of stress data.

[0047] In this embodiment, the specific method for obtaining the target stress data is: The backup stress data is obtained through the backup equipment, and each data in the stress data collected by the stress sensor is numbered. , Represented as the number of each data in the stress data, The total number of data represented as stress data, the number of data in the spare stress data and the target stress data is the same as that of the stress data; ; In the formula, Represented as the first data, It is expressed as the first data, Expressed as the first data, It is expressed as the stress data adjustment amount obtained according to the stress data environmental impact index, Expressed as the stress data weight ratio, Expressed as the weight ratio of spare stress data.

[0048] Furthermore, the specific process of data correction is as follows: the backup equipment collects the backup stress data at the collection frequency of the stress data when the stress data is affected to the second level; the stress data adjustment amount is obtained through the stress data environmental impact index; the stress data weight ratio is used to assign values ​​to each stress data to obtain the assignment results of each stress data, the backup stress data weight ratio is used to assign values ​​to each backup stress data to obtain the assignment results of each backup stress data, and the assignment results of each stress data and the assignment results of each backup stress data are coupled with the stress data adjustment amount to obtain each target stress data; the specific process of the second-level transmission adjustment is as follows: the transmission environmental impact parameter is obtained by monitoring the wireless transmission process of the target stress data; the transmission environmental impact index is obtained according to the transmission environmental impact parameter analysis, and the transmission environmental impact index is used to quantitatively analyze the degree of environmental impact of the target stress data during the wireless transmission process; the degree of environmental impact of the target stress data during the wireless transmission process is analyzed according to the transmission environmental impact index; and whether to perform the second-level transmission adjustment is determined according to the degree of environmental impact of the target stress data during the wireless transmission process.

[0049] In this embodiment, the stress data weight ratio and the spare stress data weight ratio are obtained from the database, the stress data weight ratio and the spare stress data weight ratio respectively represent the influence degree of the stress data and the spare stress data on the target stress data, there is a mapping relationship between the stress data and the spare stress data and the corresponding stress data weight ratio and the spare stress data weight ratio, and the value range of the stress data weight ratio and the spare stress data weight ratio is [0, 1], and the sum of the stress data weight ratio and the spare stress data weight ratio is 1. For example, the corresponding stress data weight ratio and the spare stress data weight ratio are obtained according to the mapping relationship between the real-time stress data and the spare stress data and the corresponding stress data weight ratio and the spare stress data weight ratio.

[0050] The stress data adjustment amount is obtained from the database, and the stress data adjustment amount indicates the influence of the stress data environmental impact index on the target stress data. There is a one-to-one mapping relationship between the stress data environmental impact index and the corresponding stress data adjustment amount. For example, the corresponding stress data adjustment amount is obtained according to the mapping relationship between the real-time stress data environmental impact index and the corresponding stress data adjustment amount.

[0051] Furthermore, the specific process of obtaining the transmission environment impact index according to the transmission environment impact parameters is as follows: the transmission environment impact parameters include: stress data transmission RMS (Root Mean Squared Signal) The stress data transmission RMS delay spread, stress data transmission coherence bandwidth, stress data transmission signal reception strength and stress data transmission signal path loss value are selected; the stress data transmission RMS delay spread is coupled with the stress data transmission symbol period and then compared with the stress data transmission symbol period, and the delay spread index is obtained by weighting the comparison result through the delay spread weight ratio; the stress data transmission coherence bandwidth is compared with the stress data transmission signal bandwidth through the coherent broadband comparison process, and the coherent broadband index is obtained by weighting the coherent broadband comparison result through the coherent broadband weight ratio; the stress data transmission signal reception strength and the stress data transmission signal standard reception strength are considered for signal strength deviation, and the signal strength index is obtained by weighting the result of the signal strength deviation consideration through the signal strength weight ratio; the stress data transmission signal path loss value is coupled with the stress data transmission signal standard path loss value and then compared with the stress data transmission signal standard path loss value, and the path loss index is obtained by weighting the comparison result through the path loss weight ratio; the delay spread index, coherent broadband index, signal strength index and path loss index are coupled to obtain the transmission environmental impact index.

[0052] In this embodiment, RMS delay spread is a parameter that measures the degree of delay dispersion caused by multipath effects during the propagation of wireless signals. The RMS delay spread of stress data transmission is obtained by measuring the delay power spectrum of the wireless signal of the target stress data and then calculating the average value of the square root thereof, in seconds (s) or milliseconds (ms). RMS delay spread can analyze the real-time performance of the target stress data.

[0053] The symbol period refers to the duration of each symbol (such as a digital bit or modulation symbol) in wireless communication. The symbol period of stress data transmission is obtained by referring to the design of the communication system and the modulation method. The unit is: second (s) or millisecond (ms), microsecond (μs).

[0054] Coherence bandwidth is a parameter that measures the coherence of the wireless signal of the target stress data in the frequency domain. The stress data transmission coherence bandwidth is obtained by measuring the frequency response or correlation function of the target stress data signal, and the unit is Hertz (Hz).

[0055] Signal bandwidth refers to the width of the signal in the frequency domain. The stress data transmission signal bandwidth is obtained by measuring the frequency spectrum of the target stress data signal or performing Fourier transform, and the unit is Hertz (Hz).

[0056] Signal reception strength is a parameter that measures the power of a wireless signal received at the receiving end. The signal reception strength of stress data transmission is obtained by measuring the signal power or voltage at the receiving end, in watts (W) or decibel milliwatts (dBm). In slope monitoring, signal reception strength is an important indicator for evaluating the quality of communication links and the reliability of data transmission. Ensuring that the reception strength is high enough ensures accurate data reception. Obtain the standard reception strength of stress data transmission signals from the database, in watts (W) or decibel milliwatts (dBm).

[0057] The power of the signal sent by the stress sensor transmitter and the power of the signal received by the receiver are measured by a power meter or spectrum analyzer, and the path loss value of the stress data transmission signal is obtained by the path loss calculation formula, in decibels (dB). The standard path loss value of the stress data transmission signal is obtained from the database, in watts (W) or decibel milliwatts (dBm).

[0058] The specific method for obtaining the transmission environmental impact index is as follows: ; In the formula, It is expressed as the transmission impact index of the environment. Expressed as the RMS delay spread of stress data transmission, Expressed as stress data transmission symbol period, Expressed as stress data transmission coherence bandwidth, Expressed as the stress data transmission signal bandwidth, It is expressed as the receiving strength of stress data transmission signal. It is expressed as the standard receiving strength of stress data transmission signal. Expressed as the stress data transmission signal path loss value, It is expressed as the standard path loss value of the stress data transmission signal, Expressed as the delay spread weight ratio, Expressed as the coherent broadband weight ratio, Expressed as the signal strength weight ratio, Expressed as path loss weight ratio.

[0059] Comparing the RMS delay spread of stress data transmission with the symbol period of stress data transmission, if the RMS delay spread of stress data transmission is greater than the symbol period of stress data transmission, it may cause inter-symbol interference and affect the accuracy of data transmission. For example, if the RMS delay spread is close to or exceeds half of the symbol period of stress data transmission, the inter-symbol interference problem will become significant, affecting the accuracy of target stress data transmission.

[0060] Comparing the stress data transmission coherence bandwidth and the stress data transmission signal bandwidth, if the stress data transmission signal bandwidth is greater than the stress data transmission coherence bandwidth, frequency selective fading will occur, affecting the stability of data transmission. For example, if the stress data transmission signal bandwidth is twice or more greater than the stress data transmission coherence bandwidth, the frequency selective fading problem will become significant.

[0061] Compare the stress data transmission signal reception strength and the stress data transmission signal standard reception strength. If the deviation between the two is large, the signal strength fluctuates greatly, which may lead to unstable data transmission.

[0062] By comparing the stress data transmission signal path loss value with the stress data transmission signal standard path loss value, the change in the attenuation degree of the wireless signal can be clearly seen. When the attenuation degree is greater, the signal quality is worse.

[0063] Mutual constraints between RMS delay spread and coherence bandwidth: It is known that RMS delay spread and coherence bandwidth show an inverse relationship in wireless channel characteristics. This means that when RMS delay spread increases, coherence bandwidth decreases, and vice versa. This mutual constraint relationship is crucial to understanding the time-frequency characteristics of the channel.

[0064] Direct correlation between signal reception strength and signal path loss value: Signal reception strength is not only affected by factors such as transmit power and antenna gain, but also directly affected by the signal path loss value. The larger the path loss value, the lower the signal strength received by the receiving end. This direct correlation makes path loss one of the key factors affecting data transmission quality.

[0065] The transmission environmental impact index is analyzed by using the RMS delay spread of stress data transmission, the coherent bandwidth of stress data transmission, the stress data transmission signal receiving strength and the stress data transmission signal path loss value. The degree of environmental impact on target stress data during wireless transmission is analyzed based on the transmission environmental impact index, so as to more comprehensively and accurately analyze the degree of environmental impact on target stress data during wireless transmission, which is conducive to more accurate corresponding adjustments and improve the accuracy of slope stability monitoring.

[0066] Obtain the delay spread weight ratio, coherent broadband weight ratio, signal strength weight ratio and path loss weight ratio from the database, the delay spread weight ratio, coherent broadband weight ratio, signal strength weight ratio and path loss weight ratio respectively represent the influence of stress data transmission RMS delay spread, stress data transmission coherent bandwidth, stress data transmission signal reception strength and stress data transmission signal path loss values ​​on the transmission environmental impact index, and there is a mapping relationship between stress data transmission RMS delay spread, stress data transmission coherent bandwidth, stress data transmission signal reception strength and stress data transmission signal path loss values ​​and the corresponding delay spread weight ratio, coherent broadband weight ratio, signal strength weight ratio and path loss weight ratio, and the sum of the delay spread weight ratio, coherent broadband weight ratio, signal strength weight ratio and path loss weight ratio is 1. For example, according to the mapping relationship between the real-time stress data transmission RMS delay spread, stress data transmission coherent bandwidth, stress data transmission signal reception strength and stress data transmission signal path loss values ​​and the corresponding delay spread weight ratio, coherent broadband weight ratio, signal strength weight ratio and path loss weight ratio, the corresponding delay spread weight ratio, coherent broadband weight ratio, signal strength weight ratio and path loss weight ratio are obtained.

[0067] Furthermore, the specific analysis process of analyzing the degree of environmental impact of the target stress data during the wireless transmission process according to the transmission environmental impact degree index is as follows: comparing the transmission environmental impact degree index with the preset transmission impact degree threshold obtained from the database; when the transmission environmental impact degree index is less than the preset transmission impact degree threshold obtained from the database, it indicates that the degree of environmental impact of the target stress data during the wireless transmission process is within a qualified range; when the transmission environmental impact degree index is not less than the preset transmission impact degree threshold obtained from the database, it indicates that the degree of environmental impact of the target stress data during the wireless transmission process is within an unqualified range; the specific process of judging whether to perform secondary transmission adjustment according to the degree of environmental impact of the target stress data during the wireless transmission process is as follows: when the degree of environmental impact of the target stress data during the wireless transmission process is within a qualified range, no secondary transmission adjustment is performed; when the degree of environmental impact of the target stress data during the wireless transmission process is within an unqualified range, secondary transmission adjustment is performed.

[0068] In this embodiment, when the transmission environmental impact index is less than the preset transmission impact threshold obtained from the database, the smaller the transmission environmental impact index is, the smaller the target stress data is affected by the environment during the wireless transmission process, and the less need for secondary adjustment is required; when the transmission environmental impact index is not less than the preset transmission impact threshold obtained from the database, the larger the transmission environmental impact index is, the more severe the target stress data is affected by the environment during the wireless transmission process, and the more need for secondary adjustment is required.

[0069] Furthermore, the specific process of the secondary transmission adjustment is as follows: obtaining a transmission power increase value according to the transmission environmental impact index, increasing the signal transmission power of the target stress data according to the transmission power increase value, transmitting the target stress data again after the signal transmission power is increased, judging whether the transmission environmental impact index is less than a preset transmission impact threshold obtained from the database, and analyzing whether the signal-to-noise ratio of the target stress data is greater than a preset target signal-to-noise ratio obtained from the database; when both the transmission environmental impact index is less than the preset transmission impact threshold obtained from the database and the signal-to-noise ratio of the target stress data is greater than the preset target signal-to-noise ratio obtained from the database are satisfied, the secondary transmission adjustment is terminated; when in other situations, the above process is repeated, and when after a set number of repetitions, the transmission environmental impact index is less than the preset transmission impact threshold obtained from the database and the signal-to-noise ratio of the target stress data is greater than the preset target signal-to-noise ratio obtained from the database are not simultaneously satisfied, a secondary transmission adjustment warning reminder is issued.

[0070] In this embodiment, the corresponding transmission power increase value is obtained from the database according to the transmission environmental impact index, and there is a one-to-one mapping relationship between the transmission environmental impact index and the transmission power increase value. For example, a corresponding mapping relationship is established by building an association between the corresponding transmission environmental impact index and the transmission power increase value according to historical data, and the corresponding transmission power increase value is obtained according to the mapping relationship between the real-time transmission environmental impact index and the transmission power increase value.

[0071] After obtaining the transmission power increase value, the computer increases the transmission power increase value on the basis of the signal transmission power to obtain a new signal transmission power, and transmits the target stress data again with the new signal transmission power.

[0072] By increasing the signal transmission power at the transmitting end, the signal strength of the target stress data during transmission is increased to resist the influence of path loss. When the transmission environmental impact index is still not less than the preset transmission impact threshold obtained from the database after repeated setting times, and the signal-to-noise ratio of the target stress data is greater than the preset target signal-to-noise ratio obtained from the database, a secondary transmission adjustment warning reminder is issued to the preset personnel.

[0073] Furthermore, the specific process of the secondary acquisition adjustment is as follows: according to the stress data environmental impact index, the corresponding data acquisition frequency reduction range is obtained, the stress data acquisition frequency is reduced according to the data acquisition frequency reduction range, the stress data is acquired according to the reduced acquisition frequency, the signal of the collected stress data is subjected to spectrum analysis to obtain the lowest frequency of the signal, the acquisition frequency of the stress data is compared with the lowest frequency of the signal to obtain a ratio, the ratio is compared with a preset ratio, when the ratio is less than the preset ratio, the secondary acquisition adjustment is stopped, and the stress data is transmitted to the receiving end via wireless transmission; when in other situations, the above process is repeated, and when the ratio is not less than the preset ratio after the set number of repetitions, a secondary acquisition adjustment warning reminder is issued.

[0074] In this embodiment, the corresponding data acquisition frequency reduction range is obtained from the database according to the transmission environmental impact index, and there is a one-to-one or many-to-one mapping relationship between the transmission environmental impact index and the data acquisition frequency reduction range. For example, the corresponding data acquisition frequency reduction range is obtained according to the mapping relationship between the real-time transmission environmental impact index and the data acquisition frequency reduction range. When the ratio is not less than the preset ratio after the set number of repetitions, a secondary collection adjustment warning reminder is issued to the preset personnel.

[0075] When the sensor data has a small range of variation and the corresponding environmental variation is low, energy saving can be achieved by reducing the data collection frequency. After reducing the data collection frequency, the amount of data processed by the receiving end is reduced accordingly, and the speed at which the receiving end processes data is increased accordingly.

[0076] The specific process of analyzing whether to stop the secondary acquisition adjustment is: use the spectrum analysis tool to analyze the frequency distribution of the signal, identify the lowest frequency component of the signal, calculate the ratio between the current acquisition frequency and twice the lowest frequency of the signal, if the ratio is large enough (for example, greater than 2), consider further reducing the acquisition frequency, if the ratio is less than or equal to 2, then the acquisition frequency should not be further reduced to avoid aliasing.

[0077] like Figure 2As shown, it is a structural schematic diagram of the online monitoring system for slope stability based on the intelligent sensor provided in the embodiment of the present application. The online monitoring system for slope stability based on the intelligent sensor provided in the embodiment of the present application includes: a data acquisition module, a primary impact analysis module, a secondary impact analysis module and a tertiary impact analysis module; wherein the data acquisition module is used to monitor the process of acquiring the stress data of the slope to obtain the environmental impact parameters of the stress data, and analyze the degree of influence of the stress data according to the environmental impact parameters of the stress data; the primary impact analysis module is used to perform primary collection adjustment, primary transmission adjustment and standby transmission adjustment on the stress data with the primary impact degree of the stress data when the stress data is affected to the first level, and transmit the stress data to the receiving end through wireless transmission; the secondary impact analysis module is used to perform data correction and secondary transmission adjustment on the stress data with the secondary impact degree of the stress data when the stress data is affected to the second level, and transmit the stress data to the receiving end through wireless transmission; the tertiary impact analysis module is used to perform secondary collection adjustment on the stress data with the third impact degree of the stress data when the stress data is affected to the third level, and transmit the stress data to the receiving end through wireless transmission.

[0078] The technical solution in the above-mentioned embodiment of the present application monitors the process of obtaining the stress data of the slope to obtain the environmental impact parameters of the stress data, and analyzes the degree of influence of the stress data according to the environmental impact parameters of the stress data. When the degree of influence of the stress data is level one, the stress data with the level of influence is subjected to level one acquisition adjustment, level one transmission adjustment and standby transmission adjustment, and the stress data is transmitted to the receiving end through wireless transmission; when the degree of influence of the stress data is level two, the stress data with the level of influence is subjected to data correction and level two transmission adjustment, and the stress data is transmitted to the receiving end through wireless transmission; when the degree of influence of the stress data is level three, the stress data with the level of influence is subjected to level two acquisition adjustment, and the stress data is transmitted to the receiving end through wireless transmission, thereby realizing accurate monitoring of the slope stability through the stress sensor, and effectively solving the problem of low accuracy of slope stability monitoring based on sensors in the prior art.

[0079] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0080] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0081] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0082] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0083] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0084] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An online monitoring method for slope stability based on intelligent sensors, characterized in that: The following steps are involved: The process of obtaining the stress data of the slope is monitored to obtain the parameters of the stress data affected by the environment, and the degree of influence of the stress data is analyzed according to the parameters of the stress data affected by the environment; Performing first-level collection adjustment, first-level transmission adjustment and standby transmission adjustment on stress data with a first-level impact degree, and transmitting the stress data to a receiving end through wireless transmission; Performing data correction and secondary transmission adjustment on stress data with a secondary degree of influence, and transmitting the stress data to a receiving end via wireless transmission; Secondary collection and adjustment are performed on stress data with a third-level impact degree, and the stress data is transmitted to a receiving end via wireless transmission.

2. The method for online monitoring of slope stability based on intelligent sensors according to claim 1, characterized in that: The parameters of stress data affected by the environment include: stress data variation range, stress data quantity, stress sensor environment groundwater level, stress sensor environment pore water pressure and stress sensor environment groundwater flow velocity; The specific process of analyzing the degree of influence of stress data according to the parameters of stress data influenced by the environment is as follows: The stress data variation range and the preset stress variation range are considered for data range deviation, and the result of the data range deviation consideration is weighted by the data range weight ratio to obtain the data range index; The data volume deviation is considered between the number of stress data and the preset number of stress data, and the result of the data volume deviation consideration is weighted by the data volume weight ratio to obtain the data volume index; The data range index and the data volume index are coupled, and the stress data change coefficient is obtained by weighting the result of the coupling processing according to the stress data change weight ratio; The groundwater level height of the stress sensor environment is compared with the groundwater level height of the stress sensor preset environment, and then the groundwater level height deviation is considered. The groundwater level height deviation result is weighted by the groundwater level height weight ratio to obtain the groundwater level height index; The pore water pressure of the stress sensor environment and the pore water pressure of the stress sensor preset environment are compared and processed to consider the pore water pressure deviation. The pore water pressure index is obtained by weighting the result of the pore water pressure deviation consideration through the pore water pressure weight ratio. The groundwater flow velocity of the stress sensor environment is compared with the groundwater flow velocity of the stress sensor preset environment, and then the groundwater flow velocity deviation is considered. The groundwater flow velocity index is obtained by weighting the result of the groundwater flow velocity deviation consideration through the groundwater flow velocity weight ratio; The groundwater level index, pore water pressure index and groundwater flow velocity index are coupled, and the sensor environment change coefficient is obtained by weighting the results of the coupling processing according to the sensor environment change weight ratio; The stress data environmental impact index is obtained by coupling the stress data variation coefficient and the sensor environmental variation coefficient, and the stress data environmental impact index is used to quantitatively analyze the degree of environmental impact on stress data during data collection; The degree of influence of stress data is analyzed according to the index of the degree of influence of stress data by the environment.

3. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 2, characterized in that: The specific analysis process of analyzing the degree of influence of stress data according to the stress data environmental influence degree index is as follows: The stress data environmental impact degree index is compared with the preset environmental impact degree first threshold and environmental impact degree second threshold obtained from the database. When the stress data environmental impact degree index is less than the preset environmental impact degree first threshold obtained from the database, the stress data impact degree is recorded as level three; When the stress data environmental impact index is not less than the preset first environmental impact threshold obtained from the database and not greater than the second environmental impact threshold, the stress data impact index is recorded as level 2; When the environmental impact index of stress data is greater than the second threshold of the environmental impact, the stress data impact is recorded as level one.

4. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 3 is characterized in that: The first-level acquisition adjustment refers to obtaining a new acquisition frequency of stress data according to the index of the degree of environmental impact of stress data, and acquiring stress data by performing data acquisition at the new acquisition frequency of stress data; The first-level transmission adjustment refers to obtaining a new transmission frequency of stress data according to the index of the degree of environmental influence of stress data, and wirelessly transmitting the stress data to the receiving end at the new transmission frequency of stress data; The standby transmission adjustment refers to modulating the stress data obtained by data acquisition at the new stress data acquisition frequency onto an ultra-wideband signal for wireless transmission to a receiving end.

5. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 3, characterized in that: The specific process of the data correction is as follows: Collect spare stress data through spare equipment at the stress data collection frequency when the stress data is affected to level 2; Obtain the stress data adjustment amount through the stress data environmental impact index; Performing assignment operation on each stress data by the weight ratio of stress data to obtain each stress data assignment result, performing assignment operation on each spare stress data by the weight ratio of spare stress data to obtain each spare stress data assignment result, coupling each stress data assignment result and each spare stress data assignment result with the stress data adjustment amount to obtain each target stress data; The specific process of the secondary transmission adjustment is as follows: By monitoring the wireless transmission process of target stress data, the parameters affected by the environment are obtained; According to the environmental impact parameter of transmission, an environmental impact degree index of transmission is obtained, wherein the environmental impact degree index of transmission is used to quantitatively analyze the degree of environmental impact of target stress data during wireless transmission; Analyze the degree of environmental impact on target stress data during wireless transmission according to the transmission environmental impact index; Whether to perform secondary transmission adjustment is determined according to the degree to which the target stress data is affected by the environment during wireless transmission.

6. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 5, characterized in that: The transmission parameters affected by the environment include: stress data transmission RMS delay spread, stress data transmission coherence bandwidth, stress data transmission signal reception strength and stress data transmission signal path loss value; The specific process of obtaining the transmission environment impact degree index according to the transmission environment impact parameter analysis is as follows: After coupling the stress data transmission RMS delay spread with the stress data transmission symbol period, the stress data transmission symbol period is compared with the stress data transmission symbol period, and the delay spread index is obtained by weighting the comparison result through the delay spread weight ratio; The stress data transmission coherence bandwidth and the stress data transmission signal bandwidth are subjected to coherent broadband comparison processing, and the coherent broadband comparison processing result is weighted by the coherent broadband weight ratio to obtain the coherent broadband index; The signal strength deviation of the stress data transmission signal reception strength and the stress data transmission signal standard reception strength is considered, and the signal strength index is obtained by weighting the result of the signal strength deviation consideration through the signal strength weight ratio; The stress data transmission signal path loss value is coupled with the stress data transmission signal standard path loss value, and then compared with the stress data transmission signal standard path loss value. The path loss index is obtained by weighting the comparison result according to the path loss weight ratio. The delay spread index, coherent bandwidth index, signal strength index and path loss index are coupled to obtain the transmission environment impact index.

7. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 6, characterized in that: The specific analysis process of analyzing the degree of environmental impact of target stress data during wireless transmission according to the transmission environmental impact index is as follows: The transmission environment impact degree index is compared with a preset transmission impact degree threshold obtained from a database. When the transmission environment impact degree index is less than the preset transmission impact degree threshold obtained from the database, it indicates that the degree of environmental impact of the target stress data during wireless transmission is within a qualified range. When the transmission environmental impact index is not less than the preset transmission impact threshold obtained from the database, it means that the target stress data is affected by the environment during the wireless transmission process and is in an unqualified range; The specific process of judging whether to perform secondary transmission adjustment according to the degree of environmental influence on target stress data during wireless transmission is as follows: When the degree of environmental influence on the target stress data during wireless transmission is within the acceptable range, no secondary transmission adjustment is performed; When the target stress data is affected by the environment to an unqualified degree during the wireless transmission process, a secondary transmission adjustment is performed.

8. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 7, characterized in that: The specific process of the secondary transmission adjustment is as follows: Obtaining a transmission power increase value according to the transmission environmental impact index, increasing the signal transmission power of the target stress data according to the transmission power increase value, transmitting the target stress data again after the signal transmission power is increased, determining whether the transmission environmental impact index is less than a preset transmission impact threshold obtained from a database, and analyzing whether the signal-to-noise ratio of the target stress data is greater than a preset target signal-to-noise ratio obtained from the database; When the transmission environmental impact index is less than the preset transmission impact threshold obtained from the database and the signal-to-noise ratio of the target stress data is greater than the preset target signal-to-noise ratio obtained from the database, the secondary transmission adjustment is terminated.

9. The method for online monitoring of slope stability based on intelligent sensors as claimed in claim 2, characterized in that: The specific process of the secondary collection adjustment is as follows: According to the environmental impact index of stress data, the corresponding data acquisition frequency reduction range is obtained, the acquisition frequency of stress data is reduced according to the data acquisition frequency reduction range, stress data is collected according to the reduced acquisition frequency, spectrum analysis is performed on the collected stress data signal to obtain the lowest frequency of the signal, the acquisition frequency of stress data and the lowest frequency of the signal are compared and processed to obtain a ratio, the ratio is compared with a preset ratio, and when the ratio is less than the preset ratio, the secondary acquisition adjustment is stopped, and the stress data is transmitted to the receiving end through wireless transmission.

10. The online monitoring system of slope stability based on intelligent sensors is characterized by: include: Data acquisition module, primary impact analysis module, secondary impact analysis module and tertiary impact analysis module; Wherein, the data acquisition module is used to monitor the process of acquiring the stress data of the slope to obtain the parameters of the stress data affected by the environment, and analyze the degree of influence of the stress data according to the parameters of the stress data affected by the environment; The first-level impact analysis module is used to perform first-level collection adjustment, first-level transmission adjustment and standby transmission adjustment on stress data with a first-level impact degree, and transmit the stress data to the receiving end through wireless transmission; The secondary impact analysis module is used to perform data correction and secondary transmission adjustment on stress data with a secondary impact degree, and transmit the stress data to the receiving end through wireless transmission; The three-level impact analysis module is used to perform secondary collection and adjustment on stress data with a third-level impact degree, and transmit the stress data to the receiving end through wireless transmission.

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