CN113532384A - Underground pipe network linear displacement settlement monitoring method based on wireless sensor technology and cloud monitoring platform - Google Patents
Underground pipe network linear displacement settlement monitoring method based on wireless sensor technology and cloud monitoring platform Download PDFInfo
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Abstract
The invention discloses an underground pipe network linear displacement settlement monitoring method and a cloud monitoring platform based on a wireless sensor technology. The method for monitoring the linear displacement settlement of the underground pipe network based on the wireless sensor technology comprises the following steps: dividing the underground pipeline into detection areas; detecting the settlement amount corresponding to each detection section of the underground pipeline; analyzing the corresponding settlement state of each detection section of the underground pipeline; classifying the detection sections of the underground pipelines according to the settlement states of the underground pipelines; analyzing dangerousness corresponding to the settlement amount of each settlement detection section; detecting the environmental parameters corresponding to the unsettled sections; analyzing the environmental parameters corresponding to each unsettled section; the problem that the reliability and accuracy of underground pipeline settlement monitoring cannot be effectively improved by the existing underground pipeline network pipe linear displacement settlement monitoring method is solved, and meanwhile, the early warning efficiency of underground pipeline settlement is greatly improved.
Description
Technical Field
The invention belongs to the technical field of underground pipeline detection, and relates to an underground pipeline network displacement settlement monitoring method and a cloud monitoring platform based on a wireless sensor technology.
Background
Along with the rapid development of society, more and more cities also increase the importance on the safety of urban infrastructure, underground pipelines are important components of the urban infrastructure, and the settlement of the underground pipelines gradually becomes one of the main potential safety hazards of the underground pipelines, so that the corresponding displacement settlement of the underground pipelines needs to be monitored;
the existing method for monitoring the linear displacement and settlement of the underground pipeline network management is mainly focused on monitoring the deformation amount corresponding to the soil of the area where the underground pipeline is located and the displacement amount corresponding to the underground pipeline in the vertical direction, the monitoring method only reflects the settlement state corresponding to the underground pipeline in a single and visual way and does not analyze the uniformity and the danger of the settlement of the underground pipeline, therefore, the existing method for monitoring the linear displacement and settlement of the underground pipeline network management has certain defects, on one hand, the monitoring content of the existing method for monitoring the linear displacement and settlement of the underground pipeline network management has limitations and cannot effectively improve the reliability and the accuracy of the settlement monitoring of the underground pipeline, on the other hand, the existing method for monitoring the linear displacement and settlement of the underground pipeline network management cannot analyze the non-settlement area of the underground pipeline and further cannot effectively improve the early warning efficiency of the settlement of the underground pipeline, the existing monitoring method for the linear displacement settlement of the underground pipeline network can not effectively improve the monitoring efficiency of the settlement of the ground line pipeline and the dangerous response efficiency of the ground line pipeline.
Disclosure of Invention
In view of the above, in order to solve the problems in the background art, a method for monitoring linear displacement and settlement of an underground pipe network management based on a wireless sensor technology and a cloud monitoring platform are provided, so that real-time monitoring and accurate prediction of linear displacement and settlement of the underground pipe network management are realized;
the purpose of the invention can be realized by the following technical scheme:
the invention provides a method for monitoring the linear displacement and settlement of an underground pipe network based on a wireless sensor technology, which comprises the following steps:
step one, underground pipeline area division: dividing the underground pipeline into detection sections according to a preset sequence, dividing the divided detection sections according to the preset sequence, sequentially marking the detection sections as 1,2,. i,. n, and acquiring the positions corresponding to the detection sections, and further constructing a pipeline position set W (W1, W2.. Wi,. Wn) of each detection section, wherein Wi represents the position corresponding to the ith detection section of the underground pipeline;
step two, detecting the sedimentation amount of the pipeline: the pipeline settlement detection is used for detecting settlement corresponding to each detection section of the underground pipeline, and then laying detection points on each detection section of the underground pipeline according to a preset sequence, and further acquiring settlement corresponding to each detection point of each detection section;
step three, analyzing the sedimentation state of the pipeline: according to the detected settlement amount corresponding to each detection point of each detection section of the underground pipeline, analyzing the settlement state corresponding to each detection section of the underground pipeline to obtain the settlement state corresponding to each detection section of the underground pipeline;
step four, classification of underground pipeline detection sections: dividing each detection section of the underground pipeline into a settlement detection section and an undeposited detection section according to the settlement state of each underground pipeline, and further acquiring the number of the settlement detection sections corresponding to the undeposited detection sections;
step five, risk analysis of the settlement detection section: the sedimentation detection section risk analysis is used for analyzing the risk corresponding to the sedimentation amount of each sedimentation detection section so as to obtain the comprehensive dangerous sedimentation influence coefficient corresponding to each sedimentation detection section;
step six, detecting environmental parameters of the non-settlement detection section: the detection of the environmental parameters of the unsettled section is used for detecting the external environmental parameters and the internal environmental parameters corresponding to each unsettled section;
step seven, pre-settlement analysis of the undeposited detection section: analyzing the environmental parameters corresponding to each undeposited section by the undeposited section pre-foaming sedimentation analysis, and further counting the environmental parameter comprehensive pre-foaming sedimentation influence coefficients of each undeposited detection section;
step eight, sending an analysis result: and sending the analysis result corresponding to the danger of each settlement detection section and the analysis result corresponding to the pre-settlement of the non-settlement detection section to underground cable management personnel.
Preferably, the pipeline settlement amount detection further includes a plurality of hydrostatic levels, which are respectively installed at each detection point of each detection section of the underground pipeline, and are respectively used for detecting displacement values corresponding to each detection point of each detection section of the underground pipeline, so as to obtain settlement displacement corresponding to each detection point of each detection section of the underground pipeline, and construct a settlement displacement set Y of each detection point of each detection sectiond(Yd1,Yd2,...Ydj,...Ydm)，Ydj represents the settlement displacement value corresponding to the jth monitoring point of the d detection sections of the underground pipeline, d represents the number of the detection sections of the underground pipeline, and d is 1,2, the.
Preferably, the pipeline settlement state analysis is configured to analyze the settlement state corresponding to each detection segment, and further obtain a settlement displacement value corresponding to each detection point of each detection segment according to a settlement displacement set of each detection point of each detection segment, and if no settlement displacement is detected at each detection point of a certain detection segment, then mark the settlement state of the detection segment as an unsinkable state, and if a settlement displacement value is detected at a certain detection point of a certain detection segment, then mark the settlement state corresponding to the detection segment as a settled state.
Preferably, the sedimentation detection section risk analysis is used for analyzing the sedimentation amount and the sedimentation uniformity corresponding to each sedimentation detection section, further counting the comprehensive sedimentation risk influence coefficient of each sedimentation detection section, and acquiring the number of the detection sections to be maintained and the positions corresponding to the detection sections to be maintained according to the counted comprehensive sedimentation risk influence coefficient corresponding to each sedimentation detection section.
Preferably, the non-settlement detection section environment parameter detection includes a plurality of vibration sensors, which are respectively used for detecting vibration frequencies corresponding to the external ground corresponding to the non-settlement detection sections of the underground pipeline, so as to obtain external vibration frequencies corresponding to the non-settlement detection sections of the underground pipeline in each collection time period, numbering the non-settlement detection sections of the underground pipeline according to preset, sequentially marking the non-settlement detection sections with 1,2,. k,. P, and further constructing an external vibration frequency set P of the non-settlement detection sections in each collection time periodr(Pr1,Pr2,...Prg,...Prh)，Prg represents the external vibration frequency corresponding to the ith un-subsidence detection section of the ith acquisition time period of the underground pipeline, r represents the number of the un-subsidence detection section of the underground pipeline, and r is 1, 2.
Preferably, the internal environment parameters corresponding to the un-settled detection section include compactness corresponding to soil and humidity corresponding to soil, so as to obtain compactness corresponding to soil in an area where the top end of each un-settled detection section of the underground pipeline is located, humidity corresponding to soil, and compactness and humidity corresponding to soil in an area where the bottom end of the pipeline is located, and further respectively construct an internal environment parameter set H at two ends of each un-settled detection section of the underground pipelinew p(Hw p1,Hw p2,...Hw pk,...Hw pp)，Hw pk represents a numerical value corresponding to the w-th internal environment parameter of the area where the p-th end of the kth un-settlement detection section pipeline of the underground pipeline is located, p represents the pipeline position number of the un-settlement detection section, p is a1, a2, a1 and a2 respectively represent the top end and the bottom end corresponding to the un-settlement detection section pipeline, w represents the internal environment parameter of the un-settlement detection section, w is b1, b2, b1 and b2 respectively represent the compactness and the humidity corresponding to the internal soil of the un-settlement detection section.
Preferably, the non-settlement detection section pre-occurrence settlement analysis is used for analyzing external environment parameters corresponding to each settlement detection section, acquiring an external vibration frequency set of each non-settlement detection section in each acquisition time period, further acquiring an external vibration frequency corresponding to each non-settlement detection section in each acquisition time period, further extracting a maximum vibration frequency corresponding to each non-settlement detection section according to the external vibration frequency corresponding to each non-settlement detection section in each acquisition time period, comparing the maximum vibration frequency corresponding to each non-settlement detection section with a standard bearing external vibration frequency corresponding to the underground pipeline, and further counting the external vibration frequency pre-occurrence settlement influence coefficient of each non-settlement detection section.
Preferably, the pre-settlement analysis of the non-settlement detection section is used for analyzing the internal environment parameters corresponding to each settlement detection section to obtain the internal environment parameter sets at the two ends of the pipeline of each non-settlement detection section, further obtaining the compactness and humidity corresponding to the soil of the areas where the top end and the bottom end of the underground pipeline of each non-settlement detection section are located, comparing the compactness and humidity corresponding to the soil of the areas where the top end and the bottom end of the underground pipeline of each non-settlement detection section are located with the standard compactness and standard humidity corresponding to the soil of the areas where the top end and the bottom end of the underground pipeline are located respectively, and then counting the prefiring sedimentation influence coefficient of each internal environmental parameter at the top end of each non-sedimentation detection section pipeline and the prefiring sedimentation influence coefficient of each internal environmental parameter at the bottom end of each non-sedimentation detection section pipeline, and further counting the prefiring sedimentation influence coefficient of each internal environmental parameter of each non-sedimentation detection section.
Preferably, the non-settlement detection section pre-occurrence settlement analysis is used for performing comprehensive analysis on external environment parameters and internal environment parameters corresponding to each non-settlement detection section, further performing statistics on the environmental parameter comprehensive pre-occurrence settlement influence coefficients of each non-settlement detection section according to the counted external vibration frequency pre-occurrence settlement influence coefficients of each non-settlement detection section and the internal environment parameter pre-occurrence settlement influence coefficients of each non-settlement detection section, sorting the counted comprehensive environmental parameter pre-occurrence settlement influence coefficients of each non-settlement detection section according to a descending order, extracting a non-settlement detection section with the highest ranking comprehensive environmental parameter pre-occurrence settlement influence coefficient, marking the non-settlement detection section as a target detection section, and further acquiring a position corresponding to the target detection section.
The invention provides a cloud monitoring platform, which comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one pipeline displacement settlement monitoring terminal, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the underground pipeline management pipeline displacement settlement monitoring method based on the wireless sensor technology.
The invention has the beneficial effects that:
(1) according to the method for monitoring the settlement of the linear displacement of the network management of the underground pipeline based on the wireless sensor technology, provided by the invention, through careful analysis on the dangerousness of the settlement detection section of the underground pipeline, the problems that the monitoring content of the existing method for monitoring the settlement of the linear displacement of the network management of the underground pipeline is limited, and further the reliability and the accuracy of the settlement monitoring of the underground pipeline cannot be effectively improved are solved, the early warning efficiency of the settlement of the underground pipeline is effectively improved, and meanwhile, the monitoring efficiency and the settlement danger response efficiency of the settlement of the underground pipeline are greatly improved.
(2) According to the invention, the underground pipeline detection sections are classified, so that the management efficiency corresponding to each detection section of the underground pipeline is greatly improved, meanwhile, the troubleshooting efficiency corresponding to the detection section needing to be maintained of the underground pipeline is also greatly improved, and further, the economic loss and the hidden danger caused by untimely response to the underground pipeline are effectively avoided.
(3) The method and the device analyze the pre-occurring settlement of the underground pipeline non-settlement detection section, greatly improve the referential property and rationality of the analysis result of the pre-occurring settlement of the underground pipeline non-settlement detection section, and also greatly improve the control efficiency of the pre-occurring settlement corresponding to the non-settlement detection section.
(4) According to the method, the analysis result corresponding to the dangerousness of each settlement detection section and the analysis result corresponding to the pre-sent settlement of the non-settlement detection section are sent to the underground cable management personnel, so that the probability of the settlement of the non-settlement detection section is greatly reduced, the maintenance efficiency corresponding to the detection section needing maintenance is greatly improved, and the probability of pipeline faults caused by the settlement of the underground pipeline is effectively reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a diagram of the steps of the method of the present invention.
Detailed Description
While the foregoing is directed to embodiments of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Referring to fig. 1, a method for monitoring the linear displacement and settlement of an underground pipe network based on a wireless sensor technology includes the following steps:
step one, underground pipeline area division: dividing the underground pipeline into detection sections according to a preset sequence, dividing the divided detection sections according to the preset sequence, sequentially marking the detection sections as 1,2,. i,. n, and acquiring the positions corresponding to the detection sections, and further constructing a pipeline position set W (W1, W2.. Wi,. Wn) of each detection section, wherein Wi represents the position corresponding to the ith detection section of the underground pipeline;
step two, detecting the sedimentation amount of the pipeline: the pipeline settlement detection is used for detecting settlement corresponding to each detection section of the underground pipeline, and then laying detection points on each detection section of the underground pipeline according to a preset sequence, and further acquiring settlement corresponding to each detection point of each detection section;
the pipeline settlement amount detection device further comprises a plurality of static level gauges which are respectively installed at each detection point position of each detection section of the underground pipeline and are respectively used for detecting displacement values corresponding to each detection point of each detection section of the underground pipeline, further acquiring settlement displacement corresponding to each detection point of each detection section of the underground pipeline, and constructing a settlement displacement set Y of each detection point of each detection sectiond(Yd1,Yd2,...Ydj,...Ydm)，Ydj represents the settlement displacement value corresponding to the jth monitoring point of the d detection sections of the underground pipeline, d represents the number of the detection sections of the underground pipeline, and d is 1,2, the.
The detection points of the detection sections of the underground pipeline are distributed, so that the authenticity and the accuracy of the detection result of the settlement displacement of the detection sections of the underground pipeline are greatly improved.
Step three, analyzing the sedimentation state of the pipeline: according to the detected settlement amount corresponding to each detection point of each detection section of the underground pipeline, analyzing the settlement state corresponding to each detection section of the underground pipeline to obtain the settlement state corresponding to each detection section of the underground pipeline;
specifically, the pipeline settlement state analysis is configured to analyze the settlement state corresponding to each detection segment, and further obtain a settlement displacement value corresponding to each detection point of each detection segment according to a settlement displacement set of each detection point of each detection segment, and if no settlement displacement is detected at each detection point of a certain detection segment, then mark the settlement state of the detection segment as an unsinkable state, and if a settlement displacement value is detected at a certain detection point of a certain detection segment, then mark the settlement state corresponding to the detection segment as a settled state.
Step four, classification of underground pipeline detection sections: dividing each detection section of the underground pipeline into a settlement detection section and an undeposited detection section according to the settlement state of each underground pipeline, and further acquiring the number of the settlement detection sections corresponding to the undeposited detection sections;
according to the embodiment of the invention, the underground pipeline detection sections are classified, so that the management efficiency corresponding to each detection section of the underground pipeline is greatly improved, meanwhile, the troubleshooting efficiency corresponding to the detection section needing to be maintained of the underground pipeline is also greatly improved, and further, the economic loss and the hidden danger caused by the untimely response to the danger of the underground pipeline are effectively avoided.
Step five, risk analysis of the settlement detection section: the sedimentation detection section risk analysis is used for analyzing the risk corresponding to the sedimentation amount of each sedimentation detection section so as to obtain the comprehensive dangerous sedimentation influence coefficient corresponding to each sedimentation detection section;
specifically, the sedimentation detection section risk analysis is used for analyzing the sedimentation amount and the sedimentation uniformity corresponding to each sedimentation detection section, further counting the comprehensive sedimentation risk influence coefficient of each sedimentation detection section, and acquiring the number of the detection sections to be maintained and the positions corresponding to the detection sections to be maintained according to the counted comprehensive sedimentation risk influence coefficient corresponding to each sedimentation detection section.
The specific analysis process corresponding to the sedimentation detection section risk analysis comprises the following steps:
a1, according to the settlement displacement set of each detection point of each detection section, further acquiring the corresponding settlement displacement of each detection point of each detection section of the underground pipeline, and further acquiring the corresponding settlement displacement of each detection point of each settlement detection section;
a2, numbering the settlement detection sections corresponding to the underground pipeline according to a preset sequence, sequentially marking the settlement detection sections as 1,2,. x,. y, obtaining the average settlement displacement corresponding to each settlement detection section according to the settlement displacement corresponding to each detection point of each settlement detection section, comparing the average settlement displacement corresponding to each settlement detection section with the preset early warning settlement displacement corresponding to the underground pipeline, and counting the settlement quantity danger influence coefficient of each settlement detection section;
the calculation formula of the dangerous influence coefficient of the settlement amount of each settlement detection section is
αrRepresents the danger influence coefficient corresponding to the settlement quantity of the r settlement detection section of the underground pipeline,
the settlement detection method comprises the steps of representing the average settlement displacement corresponding to the r-th settlement detection section of the underground pipeline, representing the early warning settlement displacement corresponding to the preset underground pipeline by Y', representing the serial number of the settlement detection section of the underground pipeline, wherein r is 1, 2.
A3, mutually comparing the settlement displacement corresponding to each detection section of each settlement detection section, further screening out the maximum settlement displacement and the minimum settlement displacement corresponding to each settlement detection section of the underground pipeline, further obtaining the difference value between the maximum settlement displacement and the minimum settlement displacement of each settlement detection section of the underground pipeline, marking the difference value as a settlement difference value, comparing the settlement difference value corresponding to each settlement detection section of the underground pipeline with the standard settlement difference value corresponding to the underground pipeline, and further counting the settlement uniformity danger influence coefficient of each settlement detection section;
wherein, the calculation formula of the sedimentation uniformity danger influence coefficient of each sedimentation detection section is
βrRepresents the danger influence coefficient, Y, corresponding to the settlement uniformity of the r settlement detection section of the underground pipelinermax-YrminRepresents the difference value between the maximum settlement displacement and the minimum settlement displacement of the r settlement detection section of the underground pipeline, delta YStandard of meritRepresenting a standard settlement difference value corresponding to the underground pipeline;
a4, according to the dangerous influence coefficient that each subsides that detects the section and corresponds and each subsides that detect the section and subside the dangerous influence coefficient of homogeneity, and then it synthesizes and subsides dangerous influence coefficient to count each subsides that detect the section, and then synthesize and subside dangerous influence coefficient and preset early warning and subside dangerous influence coefficient and compare each, if the dangerous influence coefficient that the comprehensive that a certain subsides that detects the section and correspond subsides is greater than preset early warning and subsides dangerous influence coefficient, then record this subsides the detection section into and need to maintain the detection section, and then count the quantity that needs to maintain the detection section and the position that each needs to maintain the detection section and correspond.
Wherein, the calculation formula of the comprehensive sedimentation danger influence coefficient of each sedimentation detection section is
δrAnd the comprehensive sedimentation influence coefficient corresponding to the nth sedimentation detection section of the underground pipeline is shown.
By carefully analyzing the dangerousness of the underground pipeline settlement detection section, the embodiment of the invention solves the problems that the monitoring content of the existing underground pipeline network management linear displacement settlement monitoring method is limited, and the reliability and accuracy of underground pipeline settlement monitoring cannot be effectively improved, effectively improves the early warning efficiency of underground pipeline settlement, and greatly improves the monitoring efficiency and settlement danger response efficiency of underground pipeline settlement.
Step six, detecting environmental parameters of the non-settlement detection section: the detection of the environmental parameters of the unsettled section is used for detecting the external environmental parameters and the internal environmental parameters corresponding to each unsettled section;
specifically, the non-settlement detection section environment parameter detection device comprises a plurality of vibration sensors which are respectively used for detecting vibration frequencies corresponding to the external ground corresponding to the non-settlement detection section detection sections of the underground pipeline, further acquiring external vibration frequencies corresponding to the non-settlement detection sections of the underground pipeline in each collection time period, numbering the non-settlement detection sections of the underground pipeline according to preset values, sequentially marking the non-settlement detection sections of the underground pipeline with 1,2,. k,. P, and further constructing an external vibration frequency set P of the non-settlement detection sections in each collection time periodr(Pr1,Pr2,...Prg,...Prh)，Prg represents the external vibration frequency corresponding to the ith un-subsidence detection section of the ith acquisition time period of the underground pipeline, r represents the number of the un-subsidence detection section of the underground pipeline, and r is 1, 2.
Specifically, the internal environment parameters corresponding to the un-settled detection section include compactness corresponding to soil and humidity corresponding to soil, so as to obtain compactness corresponding to soil in an area where the top end of each un-settled detection section of the underground pipeline is located, humidity corresponding to soil and compactness and humidity corresponding to soil in an area where the bottom end of the pipeline is located, and further construct an internal environment parameter set H at two ends of each un-settled detection section of the underground pipeline respectivelyw p(Hw p1,Hw p2,...Hw pk,...Hw pp)，Hw pk represents a numerical value corresponding to the w-th internal environment parameter of the area where the p-th end of the kth un-settlement detection section pipeline of the underground pipeline is located, p represents the pipeline position number of the un-settlement detection section, p is a1, a2, a1 and a2 respectively represent the top end and the bottom end corresponding to the un-settlement detection section pipeline, w represents the internal environment parameter of the un-settlement detection section, w is b1, b2, b1 and b2 respectively represent the compactness and the humidity corresponding to the internal soil of the un-settlement detection section.
Wherein, it includes a plurality of internal environment detecting element not subside the detection of detection section environmental parameter, and it is used for detecting the internal environment parameter that this underground piping each does not subside the detection section and corresponds respectively, and wherein, internal environment detecting element includes soil compactness detector and soil moisture sensor, and wherein, soil compactness detector is used for detecting the compactness that this underground piping each does not subside detection section top soil and bottom soil correspond, and soil moisture sensor is used for detecting the humidity that this underground piping each does not subside detection section top soil and bottom soil correspond.
According to the embodiment of the invention, by analyzing the internal environment and the external environment corresponding to each non-settlement detection section, a powerful data basis is provided for the subsequent analysis of the pre-settlement of each non-settlement detection section.
Step seven, pre-settlement analysis of the undeposited detection section: analyzing the environmental parameters corresponding to each undeposited section by the undeposited section pre-foaming sedimentation analysis, and further counting the environmental parameter comprehensive pre-foaming sedimentation influence coefficients of each undeposited detection section;
specifically, the non-settlement detection section pre-occurrence settlement analysis is used for analyzing external environment parameters corresponding to each settlement detection section, acquiring an external vibration frequency set of each non-settlement detection section in each acquisition time period, further acquiring an external vibration frequency corresponding to each non-settlement detection section in each acquisition time period, further extracting a maximum vibration frequency corresponding to each non-settlement detection section according to the external vibration frequency corresponding to each non-settlement detection section in each acquisition time period, comparing the maximum vibration frequency corresponding to each non-settlement detection section with a standard bearing external vibration frequency corresponding to an underground pipeline, and further counting the external vibration frequency pre-occurrence settlement influence coefficient of each non-settlement detection section.
Wherein, the calculation formula of the external vibration frequency pre-settlement influence coefficient of each non-settlement detection section is
φrRepresenting the pre-settlement influence coefficient, P, corresponding to the external vibration frequency of the r-th un-settled detection section of the underground pipelinermaxRepresents the maximum vibration frequency, P, corresponding to the outside of the r-th un-subsidence detection section of the underground pipelineStandard of meritIndicating that the corresponding standard of the underground pipeline is carrying the external vibration frequency.
Specifically, the pre-settlement analysis of the non-settlement detection section is used for analyzing the internal environment parameters corresponding to each settlement detection section to obtain the internal environment parameter sets at the two ends of the pipeline of each non-settlement detection section, further obtaining the compactness and humidity corresponding to the soil of the areas where the top end and the bottom end of the underground pipeline of each non-settlement detection section are located, comparing the compactness and humidity corresponding to the soil of the areas where the top end and the bottom end of the underground pipeline of each non-settlement detection section are located with the standard compactness and standard humidity corresponding to the soil of the areas where the top end and the bottom end of the underground pipeline are located respectively, and then counting the prefiring sedimentation influence coefficient of each internal environmental parameter at the top end of each non-sedimentation detection section pipeline and the prefiring sedimentation influence coefficient of each internal environmental parameter at the bottom end of each non-sedimentation detection section pipeline, and further counting the prefiring sedimentation influence coefficient of each internal environmental parameter of each non-sedimentation detection section.
Wherein the calculation formula of the pre-settlement influence coefficient of each internal environmental parameter at the top end of each non-settlement detection section pipeline is as follows,
ηw rrepresenting the pre-settlement influence coefficient corresponding to the w internal environment parameter of the area where the top end of the pipeline of the r un-settlement detection section of the underground pipeline is positioned, Tb1 r,Tb2 rRespectively representing the compactness corresponding to the soil of the area where the top end of the pipeline of the r-th un-settled detection section of the underground pipeline is positioned, the humidity corresponding to the soil, Hb1 Standard,Hb2 StandardAnd expressing the standard compactness and standard humidity corresponding to the soil of the area where the top end of the underground pipeline is located, and further acquiring the prefixed sedimentation influence coefficient of each internal environmental parameter at the bottom end of each non-sedimentation detection section pipeline according to the prefixed sedimentation influence coefficient calculation method of each internal environmental parameter at the top end of each non-sedimentation detection section pipeline, and recording the prefixed sedimentation influence coefficient as mu.
Wherein, the calculation formula of the pre-settlement influence coefficient of the internal environmental parameters of each non-settlement detection section is
λrRepresenting the pre-settlement influence coefficient mu corresponding to the internal environmental parameter of the r-th un-settled detection section of the underground pipelinew rAnd the pre-settlement influence coefficient corresponds to the w-th internal environment parameter of the area where the bottom end of the pipeline of the r-th un-settlement detection section of the underground pipeline is located.
Specifically, the undecomposed detection section pre-occurrence sedimentation analysis is used for performing comprehensive analysis on external environment parameters and internal environment parameters corresponding to each undecomposed detection section, further performing statistics on the ambient parameter comprehensive pre-occurrence sedimentation influence coefficients of each undecomposed detection section according to the counted external vibration frequency pre-occurrence sedimentation influence coefficients of each undecomposed detection section and the internal environment parameter pre-occurrence sedimentation influence coefficients of each undecomposed detection section, further performing sequencing on the counted ambient parameter comprehensive pre-occurrence sedimentation influence coefficients of each undecomposed detection section according to the descending order, extracting the undecomposed detection section with the comprehensive ambient parameter pre-occurrence sedimentation influence coefficient ranked first, marking the undecomposed detection section as a target detection section, and further acquiring the position corresponding to the target detection section.
Wherein, the environmental parameter comprehensive prefiring sedimentation influence coefficient calculation formula of each non-sedimentation detection section is
γrAnd representing the pre-settlement influence coefficient corresponding to the comprehensive environmental parameters of the nth un-settlement detection section of the underground pipeline.
According to the embodiment of the invention, the pre-occurring settlement of the underground pipeline non-settlement detection section is analyzed, so that the reference and the rationality of the analysis result of the pre-occurring settlement of the underground pipeline non-settlement detection section are greatly improved, and the control efficiency of the pre-occurring settlement corresponding to the non-settlement detection section is also greatly improved.
Step eight, sending an analysis result: and sending the analysis result corresponding to the danger of each settlement detection section and the analysis result corresponding to the pre-settlement of the non-settlement detection section to underground cable management personnel.
Specifically, the analysis result is sent to be used for sending the position corresponding to each section needing maintenance and the position corresponding to the target detection section of the underground pipeline to underground cable management personnel.
According to the embodiment of the invention, the analysis result corresponding to the dangerousness of each settlement detection section and the analysis result corresponding to the pre-sent settlement of the non-settlement detection section are sent to the underground cable management personnel, so that the settlement occurrence probability of the non-settlement detection section is greatly reduced, the maintenance efficiency corresponding to the detection section needing to be maintained is greatly improved, and the pipeline failure occurrence probability caused by the settlement of the underground pipeline is effectively reduced.
The invention provides a cloud monitoring platform, which comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one pipeline displacement settlement monitoring terminal, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the underground pipeline management pipeline displacement settlement monitoring method based on the wireless sensor technology.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. A method for monitoring linear displacement settlement of an underground pipe network based on a wireless sensor technology is characterized by comprising the following steps: the method comprises the following steps:
step one, underground pipeline area division: dividing the underground pipeline into detection sections according to a preset sequence, dividing the divided detection sections according to the preset sequence, sequentially marking the detection sections as 1,2,. i,. n, and acquiring the positions corresponding to the detection sections, and further constructing a pipeline position set W (W1, W2.. Wi,. Wn) of each detection section, wherein Wi represents the position corresponding to the ith detection section of the underground pipeline;
step two, detecting the sedimentation amount of the pipeline: the pipeline settlement detection is used for detecting settlement corresponding to each detection section of the underground pipeline, and then laying detection points on each detection section of the underground pipeline according to a preset sequence, and further acquiring settlement corresponding to each detection point of each detection section;
step three, analyzing the sedimentation state of the pipeline: according to the detected settlement amount corresponding to each detection point of each detection section of the underground pipeline, analyzing the settlement state corresponding to each detection section of the underground pipeline to obtain the settlement state corresponding to each detection section of the underground pipeline;
step four, classification of underground pipeline detection sections: dividing each detection section of the underground pipeline into a settlement detection section and an undeposited detection section according to the settlement state of each underground pipeline, and further acquiring the number of the settlement detection sections corresponding to the undeposited detection sections;
step five, risk analysis of the settlement detection section: the sedimentation detection section risk analysis is used for analyzing the risk corresponding to the sedimentation amount of each sedimentation detection section so as to obtain the comprehensive dangerous sedimentation influence coefficient corresponding to each sedimentation detection section;
step six, detecting environmental parameters of the non-settlement detection section: the detection of the environmental parameters of the unsettled section is used for detecting the external environmental parameters and the internal environmental parameters corresponding to each unsettled section;
step seven, pre-settlement analysis of the undeposited detection section: analyzing the environmental parameters corresponding to each undeposited section by the undeposited section pre-foaming sedimentation analysis, and further counting the environmental parameter comprehensive pre-foaming sedimentation influence coefficients of each undeposited detection section;
step eight, sending an analysis result: and sending the analysis result corresponding to the danger of each settlement detection section and the analysis result corresponding to the pre-settlement of the non-settlement detection section to underground cable management personnel.
2. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: the pipeline settlement amount detection device also comprises a plurality of static level gauges which are respectively arranged at the detection point positions of the detection sections of the underground pipeline and are respectively used for detecting the displacement values corresponding to the detection points of the detection sections of the underground pipeline so as to obtain the settlement displacement corresponding to the detection points of the detection sections of the underground pipeline and construct a settlement displacement set Y of the detection points of the detection sectionsd(Yd1,Yd2,...Ydj,...Ydm)，Ydj represents the settlement displacement value corresponding to the jth monitoring point of the d detection sections of the underground pipeline, d represents the number of the detection sections of the underground pipeline, and d is 1,2, the.
3. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: the pipeline settlement state analysis is used for analyzing the settlement state corresponding to each detection section, further acquiring the settlement displacement value corresponding to each detection point of each detection section according to the settlement displacement set of each detection point of each detection section, recording the settlement state of the detection section as the non-settlement state if the settlement displacement is not detected at each detection point of a certain detection section, and recording the settlement state corresponding to the detection section as the settled state if the settlement displacement value is detected at a certain detection point of a certain detection section.
4. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: and the sedimentation detection section risk analysis is used for analyzing the sedimentation amount and the sedimentation uniformity corresponding to each sedimentation detection section, further counting the comprehensive sedimentation risk influence coefficient of each sedimentation detection section, and acquiring the number corresponding to the detection section to be maintained and the position corresponding to each detection section to be maintained according to the counted comprehensive sedimentation risk influence coefficient corresponding to each sedimentation detection section.
5. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: the non-settlement detection section environment parameter detection device comprises a plurality of vibration sensors which are respectively used for detecting vibration frequencies corresponding to the external ground corresponding to the non-settlement detection section detection sections of the underground pipeline, further acquiring the external vibration frequencies corresponding to the non-settlement detection sections of the underground pipeline in each acquisition time period, numbering the non-settlement detection sections of the underground pipeline according to the presetting, sequentially marking the non-settlement detection sections with numbers 1,2, k, P, and further constructing an external vibration frequency set P of the non-settlement detection sections in each acquisition time periodr(Pr1,Pr2,...Prg,...Prh)，Prg represents the external vibration frequency corresponding to the ith un-subsidence detection section of the ith acquisition time period of the underground pipeline, r represents the number of the un-subsidence detection section of the underground pipeline, and r is 1, 2.
6. A wireless based sensor as claimed in claim 1The technical underground pipe network linear displacement settlement monitoring method is characterized by comprising the following steps: wherein the internal environment parameters corresponding to the undeposited detection sections comprise compactness corresponding to soil and humidity corresponding to the soil, and further obtain compactness corresponding to soil in the area where the top end of each undeposited detection section pipeline of the underground pipeline is located, humidity corresponding to the soil and compactness and humidity corresponding to soil in the area where the bottom end of the pipeline is located, and further respectively construct internal environment parameter sets H at two ends of each undeposited detection section pipelinew p(Hw p1,Hw p2,...Hw pk,...Hw pp)，Hw pk represents a numerical value corresponding to the w-th internal environment parameter of the area where the p-th end of the kth un-settlement detection section pipeline of the underground pipeline is located, p represents the pipeline position number of the un-settlement detection section, p is a1, a2, a1 and a2 respectively represent the top end and the bottom end corresponding to the un-settlement detection section pipeline, w represents the internal environment parameter of the un-settlement detection section, w is b1, b2, b1 and b2 respectively represent the compactness and the humidity corresponding to the internal soil of the un-settlement detection section.
7. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: the non-settlement detection section pre-occurrence settlement analysis is used for analyzing external environment parameters corresponding to each settlement detection section, acquiring an external vibration frequency set of each non-settlement detection section in each acquisition time period, further acquiring an external vibration frequency corresponding to each non-settlement detection section in each acquisition time period, further extracting a maximum vibration frequency corresponding to each non-settlement detection section according to the external vibration frequency corresponding to each non-settlement detection section in each acquisition time period, comparing the maximum vibration frequency corresponding to each non-settlement detection section with a standard bearing external vibration frequency corresponding to an underground pipeline, and further counting the external vibration frequency pre-occurrence settlement influence coefficient of each non-settlement detection section.
8. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: the non-settlement detection section pre-emergence settlement analysis is used for analyzing internal environment parameters corresponding to each settlement detection section, acquiring internal environment parameter sets at two ends of each non-settlement detection section pipeline, further acquiring compactness and humidity corresponding to regional soil at the top end and the bottom end of each non-settlement detection section underground pipeline, comparing the compactness and humidity corresponding to the regional soil at the top end and the bottom end of each non-settlement detection section underground pipeline with standard compactness and standard humidity corresponding to the regional soil at the top end and the bottom end of each underground pipeline respectively, further counting pre-emergence settlement influence coefficients of each internal environment parameter at the top end of each non-settlement detection section pipeline and pre-emergence settlement influence coefficients of each internal environment parameter at the bottom end of each non-settlement detection section pipeline, and further counting pre-emergence settlement influence coefficients of each internal environment parameter at each non-settlement detection section pipeline.
9. The method for monitoring the linear displacement and settlement of the underground pipe network based on the wireless sensor technology as claimed in claim 1, is characterized in that: the non-settlement detection section pre-emergence settlement analysis is used for carrying out comprehensive analysis on external environment parameters and internal environment parameters corresponding to each non-settlement detection section, further carrying out statistics on the environmental parameter comprehensive pre-emergence settlement influence coefficients of each non-settlement detection section according to the counted external vibration frequency pre-emergence settlement influence coefficients of each non-settlement detection section and the internal environment parameter pre-emergence settlement influence coefficients of each non-settlement detection section, further carrying out sequencing on the counted comprehensive environmental parameter pre-emergence settlement influence coefficients of each non-settlement detection section from large to small, extracting the non-settlement detection section with the comprehensive environmental parameter pre-emergence settlement influence coefficient ranking as the first position, marking the non-settlement detection section as a target detection section, and further obtaining the position corresponding to the target detection section.
10. A cloud monitoring platform, its characterized in that: the cloud monitoring platform comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one pipeline displacement settlement monitoring terminal, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the underground pipeline network management displacement settlement monitoring method based on the wireless sensor technology according to any one of claims 1 to 9.
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