CN111896049A - Intelligent processing monitoring system and monitoring early warning method for highway soft foundation - Google Patents
Intelligent processing monitoring system and monitoring early warning method for highway soft foundation Download PDFInfo
- Publication number
- CN111896049A CN111896049A CN202010644953.7A CN202010644953A CN111896049A CN 111896049 A CN111896049 A CN 111896049A CN 202010644953 A CN202010644953 A CN 202010644953A CN 111896049 A CN111896049 A CN 111896049A
- Authority
- CN
- China
- Prior art keywords
- module
- optical fiber
- data
- monitoring
- soft foundation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 title claims abstract description 144
- 238000012544 monitoring process Methods 0.000 title claims abstract description 143
- 238000000034 method Methods 0.000 title claims abstract description 21
- 239000013307 optical fiber Substances 0.000 claims abstract description 187
- 230000000694 effects Effects 0.000 claims abstract description 84
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 82
- 239000010959 steel Substances 0.000 claims abstract description 82
- 230000005540 biological transmission Effects 0.000 claims abstract description 66
- 238000011156 evaluation Methods 0.000 claims abstract description 50
- 238000013523 data management Methods 0.000 claims abstract description 32
- 238000010146 3D printing Methods 0.000 claims abstract description 25
- 230000002787 reinforcement Effects 0.000 claims abstract description 14
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 230000008859 change Effects 0.000 claims abstract description 9
- 238000001556 precipitation Methods 0.000 claims description 17
- 238000010438 heat treatment Methods 0.000 claims description 14
- 238000010248 power generation Methods 0.000 claims description 8
- 238000007639 printing Methods 0.000 claims description 8
- 238000004806 packaging method and process Methods 0.000 claims description 5
- 230000006641 stabilisation Effects 0.000 claims description 5
- 238000011105 stabilization Methods 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 5
- 238000009499 grossing Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 230000000087 stabilizing effect Effects 0.000 claims description 3
- 230000001131 transforming effect Effects 0.000 claims description 3
- 238000010276 construction Methods 0.000 abstract description 10
- 230000007774 longterm Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 10
- 239000002994 raw material Substances 0.000 description 8
- 239000002689 soil Substances 0.000 description 8
- 201000010099 disease Diseases 0.000 description 7
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 7
- 239000000463 material Substances 0.000 description 7
- 239000002184 metal Substances 0.000 description 6
- 239000000843 powder Substances 0.000 description 6
- 230000001681 protective effect Effects 0.000 description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 239000010410 layer Substances 0.000 description 4
- 238000003825 pressing Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 241000533950 Leucojum Species 0.000 description 3
- POIUWJQBRNEFGX-XAMSXPGMSA-N cathelicidin Chemical compound C([C@@H](C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H]([C@@H](C)CC)C(=O)NCC(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CC=1C=CC=CC=1)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H]([C@@H](C)CC)C(=O)N[C@@H](C(C)C)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H]([C@@H](C)CC)C(=O)N[C@@H](CCCCN)C(=O)N[C@@H](CC(O)=O)C(=O)N[C@@H](CC=1C=CC=CC=1)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](C(C)C)C(=O)N1[C@@H](CCC1)C(=O)N[C@@H](CCCNC(N)=N)C(=O)N[C@@H]([C@@H](C)O)C(=O)N[C@@H](CCC(O)=O)C(=O)N[C@@H](CO)C(O)=O)NC(=O)[C@H](CC=1C=CC=CC=1)NC(=O)[C@H](CC(O)=O)NC(=O)CNC(=O)[C@H](CC(C)C)NC(=O)[C@@H](N)CC(C)C)C1=CC=CC=C1 POIUWJQBRNEFGX-XAMSXPGMSA-N 0.000 description 3
- WABPQHHGFIMREM-UHFFFAOYSA-N lead(0) Chemical compound [Pb] WABPQHHGFIMREM-UHFFFAOYSA-N 0.000 description 3
- 238000012384 transportation and delivery Methods 0.000 description 3
- 239000003822 epoxy resin Substances 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 229920000647 polyepoxide Polymers 0.000 description 2
- 230000003014 reinforcing effect Effects 0.000 description 2
- 239000002344 surface layer Substances 0.000 description 2
- 238000003466 welding Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000011440 grout Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000007769 metal material Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
- G01D5/26—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
- G01D5/32—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light
- G01D5/34—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells
- G01D5/353—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre
- G01D5/35306—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre using an interferometer arrangement
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2612—Data acquisition interface
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Automation & Control Theory (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Power Engineering (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses an intelligent processing monitoring system and a monitoring and early warning method for a soft foundation of an expressway, wherein the system comprises a cloud database module of an expressway soft foundation processing scheme, a snowflake-shaped steel sheet pile 3D printing module, a snowflake-shaped steel sheet pile deformation optical fiber sensing module, a roadbed settlement optical fiber sensing module, a climate change optical fiber sensing module, an optical fiber data automatic acquisition and transmission module, an on-site road condition monitoring module, a solar power supply and data transmission module, an optical fiber data processing and analysis module, a monitoring result display module, a highway soft foundation processing effect evaluation module, a soft foundation processing effect cloud platform data management and early warning module and a mobile phone remote receiving module; during monitoring, 3D printing and snowflake-shaped steel sheet piles are used for rapid construction, BOTDR is used for monitoring subgrade settlement, snowflake-shaped steel sheet pile deformation and climate information, evaluation results are displayed on a mobile phone mobile terminal in a chart form, and a scheme for secondary reinforcement of a road section with an unsatisfactory processing effect is adopted, so that remote monitoring and long-term evaluation are realized.
Description
Technical Field
The invention relates to a highway soft foundation processing system, in particular to an intelligent highway soft foundation processing monitoring system and a monitoring and early warning method.
Background
Roadbed deformation such as roadbed settlement and roadbed slope horizontal displacement are one of the common diseases of the expressway with the on-line traffic, driving safety accidents are caused under severe conditions, and the annual maintenance and treatment cost is high.
In recent years, 3D printing technology has become an innovative technology that changes the future, which will have a great impact on traditional social production. Meanwhile, the 3D printing building technology combined with the building can be a milestone in the development history of the building industry.
How to rapidly process the soft foundation of the expressway and monitor the soft foundation processing effect to provide enough information for evaluating the soft foundation processing effect becomes a technical problem which needs to be solved urgently.
Disclosure of Invention
The purpose of the invention is as follows: the invention provides an intelligent processing monitoring system and a monitoring and early warning method for highway soft foundations, which are used for processing and monitoring the highway soft foundations based on snowflake-shaped steel sheet piles and BOTDR optical fiber sensing so as to solve the technical problem that the highway soft foundations are difficult to process and monitor quickly in the prior art.
The technical scheme is as follows: the invention discloses an intelligent processing and monitoring system for highway soft foundation, which comprises a highway soft foundation processing scheme cloud database module, a snowflake-shaped steel sheet pile 3D printing module, a snowflake-shaped steel sheet pile deformation optical fiber sensing module, a roadbed settlement optical fiber sensing module, a climate change optical fiber sensing module, an optical fiber data automatic acquisition and transmission module, an on-site road condition monitoring module, a solar power supply and data transmission module, an optical fiber data processing and analysis module, a monitoring result display module, a highway soft foundation processing effect evaluation module, a soft foundation processing effect cloud platform data management and early warning module and a mobile phone remote receiving module;
the snowflake-shaped steel sheet pile 3D printing module comprises a 3D printing modeling module, a 3D printer and a printed snowflake-shaped steel sheet pile for soft foundation treatment;
the snowflake-shaped steel sheet pile deformation optical fiber sensing module comprises a snowflake-shaped steel sheet pile, and a strain optical fiber and a temperature compensation optical fiber which are arranged on the snowflake-shaped steel sheet pile;
the roadbed settlement optical fiber sensing module comprises a geogrid, and a strain optical fiber and a temperature compensation optical fiber which are arranged on the geogrid;
the climate change optical fiber sensing module comprises a climate monitoring module, and a temperature compensation optical fiber and a self-heating optical fiber temperature sensor which are arranged on the climate monitoring module;
the highway soft foundation processing scheme cloud database module calls a processing scheme according to the working condition and sends the processing scheme to the 3D printing modeling module; the 3D printing modeling module establishes a 3D printing model of the snowflake-shaped steel sheet pile and sends the snowflake-shaped steel sheet pile to a 3D printer;
the mobile phone remote receiving module comprises a worker receiving module and an police receiving module, wherein the worker receiving module and the police receiving module respectively comprise a data receiving module, a chart display module, an early warning module and a power supply module; the early warning module comprises an early warning value setting module, a monitoring data and early warning value comparison module and an audible and visual alarm module;
the solar power supply and data transmission module wirelessly transmits live monitoring of the on-site road condition monitoring module to the soft foundation processing effect cloud platform data management and early warning module, and wirelessly transmits data acquired by the optical fiber data automatic acquisition and transmission module to the optical fiber data processing and analysis module;
the output end of the optical fiber data processing and analyzing module is connected with a monitoring result display module; the output end of the monitoring result display module is connected with the expressway soft foundation treatment effect evaluation module; the expressway soft foundation treatment effect evaluation module remotely transmits the evaluation result to the soft foundation treatment effect cloud platform data management and early warning module; and the soft foundation processing effect cloud platform data management and early warning module remotely transmits the evaluation of the soft foundation processing effect, the monitoring result and the road condition real-time monitoring to the corresponding mobile phone remote receiving module.
The climate monitoring module comprises a rainwater collecting module, a precipitation monitoring module and an air temperature monitoring module.
The optical fiber data automatic acquisition and transmission module comprises a dynamic data acquisition module, a data classification and packaging module and a remote parameter setting module.
The on-site road condition monitoring module comprises a camera module, a camera module and a speed measuring module.
The solar power supply and data transmission module comprises a solar power generation module, a voltage stabilization and transformation module and a wireless data transmission module.
The optical fiber data processing and analyzing module comprises a computer processing core module, a wireless data receiving module, a data exporting module and a power supply module; the computer processing core module comprises a temperature compensation processing module, a wavelet denoising and data smoothing processing module, a settlement data processing module, a climate data processing module and a steel sheet pile deformation processing module.
The monitoring result display module comprises a data receiving module, a data chart processing module, an image generating module, a data transmission module and a power supply module.
The evaluation module for the soft foundation treatment effect of the expressway comprises a data receiving module, a treatment effect evaluation module, a chart display module, a wireless data transmission module and a power supply module.
The soft foundation treatment effect cloud platform data management and early warning module comprises a data receiving module, a wireless data transmission module, a chart display module, an information base module, an early warning module and a power supply module.
The invention discloses an intelligent processing, monitoring and early warning method for a soft foundation of an expressway, which adopts an intelligent monitoring system for the soft foundation of the expressway to carry out monitoring and early warning, and comprises the following steps:
(1) inputting the working condition information of the road section needing soft foundation reinforcement into a highway soft foundation treatment scheme cloud database module, and screening a scheme meeting reinforcement requirements, wherein the scheme is not limited to the size and layout scheme of snowflake-shaped steel sheet piles;
(2) the scheme is wirelessly sent to a 3D printing modeling module, and a three-dimensional model is established by using three-dimensional modeling software;
(3) converting the model into an STL format, introducing the STL format into 3D printing software, adding materials such as metal powder into a raw material box, and printing the snowflake-shaped steel sheet pile by using a 3D printer;
(4) transporting the snowflake-shaped steel sheet pile to the site, and fixing the strain optical fiber and the temperature compensation optical fiber on the snowflake-shaped steel sheet pile; simultaneously respectively bonding the strain optical fiber and the temperature compensation optical fiber on the surface of the geogrid; during laying, the strain optical fiber is straightened; protecting the temperature compensation optical fiber and the self-heating optical fiber temperature sensor by using a hollow protective sleeve, and bonding and arranging the temperature compensation optical fiber and the self-heating optical fiber temperature sensor on the inner wall of the climate monitoring module by using epoxy resin;
(5) the snowflake-shaped steel sheet pile provided with the strain optical fiber and the temperature compensation optical fiber is driven into a roadbed by adopting a pile pressing and piling method according to the scheme given by the highway soft foundation processing scheme cloud database module;
(6) laying the geogrid provided with the strain optical fibers and the temperature compensation optical fibers in a flat way in a roadbed near the snowflake-shaped steel sheet pile;
(7) fixing a climate monitoring module provided with a temperature compensation optical fiber and a self-heating optical fiber temperature sensor beside a road, acquiring initial data of the temperature compensation optical fiber and recording the temperature at the time, wherein the bottom of a water collecting device is parallel to the road surface when the climate monitoring module is arranged;
(8) protecting the optical fiber lead wire with the reserved length by using a protective sleeve, leading the optical fiber lead wire to the optical fiber data automatic acquisition and transmission module, welding the optical fiber lead wire with a jumper wire, and connecting the optical fiber data automatic acquisition and transmission module with the jumper wire;
(9) the solar power generation panel is connected with a voltage stabilizing and transforming device, and is connected to a wireless data transmission module, an optical fiber data automatic acquisition and transmission module and a field road condition monitoring module for power supply after voltage stabilization and transformation; wind power generation devices can also be used in areas with developed wind resources;
(10) the optical fiber data automatic acquisition and transmission module acquires optical fiber monitoring data, and the field road condition monitoring module acquires road condition and vehicle information; the wireless data transmission module wirelessly transmits the acquired optical fiber monitoring data to the optical fiber data processing and analyzing module, and wirelessly transmits road condition and vehicle information to the soft foundation processing effect cloud platform data management and early warning module;
(11) the optical fiber data processing and analyzing module receives data transmitted by the wireless data transmission module, records wavelength data of the sensing optical fiber, performs denoising processing on the wavelength data, performs temperature compensation on the wavelength data corresponding to variable data, converts the wavelength data into required subgrade settlement and pile body deformation information, and accumulates temperature variation and a temperature initial value acquired by the climate monitoring module;
(12) the optical fiber data processing and analyzing module is connected with the monitoring result display module, the monitoring result display module receives information processed by the optical fiber data processing and analyzing module, the information is displayed on a screen in a chart form, and the information is led into the high-speed highway soft foundation processing effect evaluation module;
(13) the highway soft foundation treatment effect evaluation module receives the data given by the monitoring result display module, evaluates the roadbed treatment effect according to a preset program, displays different types of evaluation results in a percentage system, and wirelessly sends the evaluation results to the soft foundation treatment effect cloud platform data management and early warning module;
(14) the soft foundation processing effect cloud platform data management and early warning module receives data, compares the data with a preset early warning value, receives a real-time road condition photo or video transmitted by the field monitoring module, and transmits a monitoring result and the real-time road condition to the mobile phone remote receiving module according to the road section principal contact information recorded in the database;
if the soft foundation processing evaluation result reaches the early warning value, the processing effect is not good enough, the scheme in the secondary processing scheme information base module is called and is packaged with the monitoring information, the site road condition and the soft foundation processing evaluation result, meanwhile, the corresponding road section responsible person information and the related construction unit information in the information base module are called, and the monitoring result, the processing scheme and the road section live picture shot by the site road condition monitoring module are sent to the mobile phone remote receiving module of the road section responsible person; if the on-site road condition monitoring module monitors illegal information of overspeed vehicles or natural disasters such as road surface collapse, landslide and the like, or the weather monitoring module monitors rapid change of precipitation, the corresponding traffic police cooperation department in the information base module is called, and the information is sent to the traffic police cooperation department.
The working principle is as follows: the snowflake-shaped steel sheet pile is a new pile foundation form, has the advantages of high bearing capacity, small settlement, low cost and good stability, and is gradually applied to the fast treatment of soft foundation and the correction project of buildings. The BOTDR optical fiber sensing technology has the characteristics of high precision, interference resistance and the like as a distributed monitoring technology, and is widely applied to the fields of civil engineering, water conservancy and traffic, geological engineering and aerospace engineering.
The method realizes rapid construction by using a 3D printing technology and the snowflake-shaped steel sheet piles, rapidly treats the soft foundation diseases of the highway, accurately monitors the parameters of the treated roadbed diseases such as roadbed settlement, snowflake-shaped steel sheet pile deformation and climate information by using a BOTDR, automatically acquires the treatment data, evaluates the treatment effect by using a soft foundation treatment effect evaluation system, finally displays the treatment data on a mobile phone mobile terminal in a chart form, provides a secondary reinforcement scheme for the road section with the unsatisfactory treatment effect, and further comprehensively evaluates the soft foundation treatment and the treatment effect of the highway.
The specific process is that the 3D printer receives the model and prints the snowflake-shaped steel sheet pile; the snowflake-shaped steel sheet pile is transported to a soft foundation reinforcing site, and after strain optical fibers and temperature compensation optical fibers are distributed on the snowflake-shaped steel sheet pile, the snowflake-shaped steel sheet pile is driven into a soft foundation by adopting a piling construction mode to reinforce the foundation; after strain optical fibers and temperature compensation optical fibers are distributed on the geogrid, the geogrid is embedded near the reinforcement of the steel sheet pile; the strain optical fiber, the temperature compensation optical fiber and the self-heating optical fiber temperature sensor are connected with the optical fiber data automatic acquisition and transmission module through optical fiber leads; the optical fiber data automatic acquisition and transmission module and the on-site road condition monitoring module are powered by the solar power supply and data transmission module; the solar power supply and data transmission module wirelessly transmits live monitoring of the on-site road condition monitoring module to the soft foundation processing effect cloud platform data management and early warning module, and wirelessly transmits data acquired by the optical fiber data automatic acquisition and transmission module to the optical fiber data processing and analysis module; the optical fiber data processing and analyzing module receives data sent by the solar power supply and data transmission module; the output end of the optical fiber data processing and analyzing module is connected with a monitoring result display module; the output end of the monitoring result display module is connected with the expressway soft foundation treatment effect evaluation module; the expressway soft foundation treatment effect evaluation module remotely transmits the evaluation result to the soft foundation treatment effect cloud platform data management and early warning module; and the soft foundation processing effect cloud platform data management and early warning module remotely transmits the evaluation of the soft foundation processing effect, the monitoring result and the road condition real-time monitoring to the corresponding mobile phone remote receiving module.
The method comprises the steps that an optical fiber data acquisition module based on a BOTDR optical fiber sensing technology is used for acquiring optical fiber data in real time, a solar power supply and data transmission module is used for transmitting data, settlement difference of a roadbed, strain response of a snowflake-shaped steel sheet pile and precipitation amount information are obtained through optical fiber data processing, the information is displayed in a monitoring result display module in a graph form, the soft foundation processing effect is evaluated through a soft foundation processing effect evaluation module, after the information is uploaded to a soft foundation processing effect cloud platform data management and early warning module, whether secondary reinforcement is needed or not is judged through comparison with an early warning value, and a road section position, a field photo and a processing scheme are sent to a road section responsible man-machine moving end according to road section responsible man contact information which is input in advance; meanwhile, the on-site road condition monitoring module can measure vehicle speed related information, transmit the vehicle speed related information to the cloud platform data management and early warning module and then send the vehicle speed related information to the traffic police department according to conditions to assist the traffic police department in working.
Has the advantages that: compared with the prior art, the invention has the following advantages:
(1) according to the method, the cloud data management platform is used for realizing rapid screening of the soft foundation treatment scheme, the snowflake-shaped steel sheet piles are used for reinforcing the roadbed, the contact area between the pile body and the soil body is greatly enlarged by the snowflake-shaped steel sheet piles, and the bearing capacity of the pile body is improved; the triangular outward-expanding supporting disc extrudes part of soil body, the friction force on the side of the pile is increased by phase change, and the position of the supporting disc accords with the stress diffusion rule of the soil body, so that the stress of the pile body is reasonable; the pile cap increases the strength of the pile end, is not easy to yield and deform and is convenient to move and recycle; the pile body combines the advantages of an end-bearing pile and a friction pile, and the soil layers of the upper part and the lower part of the pile body are utilized to effectively control the settlement, so that the settlement of the pile body is smaller, and the quality of soft foundation treatment is ensured.
(2) The soft foundation is rapidly processed and constructed by applying the 3D printing technology, the construction period is shortened by applying the 3D printing technology, and the cost is reduced.
(3) The method has the advantages that the BOTDR (Brillouin Optical time domain reflectometer) with high survival rate, comprehensive acquired data and small human error is used for monitoring the settlement of the reinforced roadbed, the climate and the deformation of the steel sheet pile, the roadbed processing effect and the function exerted by the steel sheet pile are comprehensively evaluated, the automatic remote monitoring and the objective evaluation of the soft foundation processing effect are realized by combining the wireless transmission module and the soft foundation processing effect evaluation module, meanwhile, the purposes of early warning and screening a secondary reinforcement scheme are realized for the road section with poor processing effect, the high-quality rapid processing of the soft foundation diseases of the highway is facilitated, and the rapid construction of the soft foundation processing of the highway and the remote monitoring and the long-term evaluation of the processing effect are realized.
Drawings
FIG. 1 is a schematic view of an intelligent processing and monitoring system for highway soft foundation;
FIG. 2 is a schematic view of a 3D printing module;
FIG. 3 is an elevation view of a snowflake type pile and a schematic view of optical fiber layout;
FIG. 4 is a cross-sectional view of a snowflake type pile;
FIG. 5 is a schematic view of a snowflake-shaped pile tip structure;
FIG. 6 is a schematic view of a snowflake-shaped pile cap structure;
FIG. 7 is a schematic view of the arrangement of optical fibers for monitoring subgrade settlement;
FIG. 8 is a schematic view of the optical fiber layout of the climate monitoring module;
fig. 9 is a flowchart of evaluation of the effect of the soft foundation treatment.
Detailed Description
As shown in fig. 1, the highway soft foundation treatment scheme comprises a highway soft foundation treatment scheme cloud database module 1, a 3D printing modeling module 2, a 3D printer 3 and a snowflake-shaped steel sheet pile 4 printed for highway soft foundation treatment; strain optical fibers 7a and temperature compensation optical fibers 7b arranged on the geogrid 5 and the snowflake-shaped steel sheet pile 4; a temperature compensation optical fiber 7b and a self-heating optical fiber temperature sensor 7c which are arranged on the inner wall of the climate monitoring module 6; the system comprises an optical fiber data automatic acquisition and transmission module 8, an on-site road condition monitoring module 9, a solar power supply and data transmission module 10, an optical fiber data processing and analysis module 11, a monitoring result display module 12, an expressway soft foundation processing effect evaluation module 13, a soft foundation processing effect cloud platform data management and early warning module 14 and a mobile phone remote receiving module 15.
The highway soft foundation processing scheme cloud database module 1 comprises a large number of engineering examples and soft foundation processing schemes designed for different working conditions, and the processing schemes meeting requirements are screened after specific information of the working conditions is input. 3D printer 3 includes raw materials case 3a, raw materials pipeline 3b, raw materials delivery pump 3c and prints shower nozzle 3D, prints shower nozzle 3D for purpose-built shower nozzle, satisfies the quality requirement of printing metal material, and 3D printer 3 adopts the material that meets the requirements to print, ensures that the intensity of the snowflake shape steel sheet pile 4 who prints out accords with the engineering needs.
The snowflake-shaped steel sheet pile 4 consists of a snowflake-shaped steel sheet pile body, a steel sheet pile tip 17 and a steel sheet pile cap 18, and the snowflake-shaped steel sheet pile 4 is produced by integrated printing or assembled after being printed in modules.
The geogrid 5 is arranged in a surface layer or a base layer near the arrangement position of the snowflake-shaped steel sheet piles 4 to monitor the treatment effect of the roadbed.
The climate monitoring module 6 comprises a rainwater collecting module, a precipitation monitoring module and an air temperature monitoring module; the optical fiber data automatic acquisition and transmission module 8 comprises a dynamic data acquisition module, a data classification and packaging module and a remote parameter setting module, and data acquisition parameters are set remotely.
The on-site road condition monitoring module 9 comprises a camera module, a camera module and a speed measuring module. The solar power supply and data transmission module 10 comprises a solar power generation module 10a, a voltage stabilization and transformation module 10b and a wireless data transmission module 10 c. The solar power generation panel 10a is connected with the voltage stabilizing and transforming device 10b, and is connected with the wireless data transmission module 10c, the optical fiber data automatic acquisition and transmission module 8 and the on-site road condition monitoring module 9 for long-term stable power supply after voltage stabilization and transformation.
The optical fiber data automatic acquisition and transmission module 8 adopts an optical fiber data acquisition instrument based on the BOTDR technology, and is provided with an automatic data acquisition function, a remote parameter setting function and a data classification and packaging function. The field road condition monitoring module 9 monitors road condition information in real time and uploads the road condition information to the soft foundation processing effect cloud platform data management module 14; the optical fiber data automatic acquisition module 8 is connected with the strain optical fiber 7a and the temperature compensation optical fiber 7b through jumper wires, and performs data packaging and wireless transmission to the optical fiber data processing and analysis module 11 according to the settlement, climate and pile foundation deformation of a monitoring system to which the optical fiber data automatic acquisition module is connected after acquiring the original data through remote setting of relevant parameters. The optical fiber data processing and analyzing module 11 receives the data sent by the solar power supply and data transmission module 10, performs temperature compensation and denoising processing on the data, and transmits the data to the monitoring result display module 12; the monitoring result display module 12 obtains information of subgrade diseases caused by subgrade settlement, pile foundation deformation and precipitation through optical fiber data processing, and transmits the information to the expressway soft foundation treatment effect evaluation module 13; the highway soft foundation treatment effect evaluation module 13 evaluates the information according to the relevant information and sends the result to the soft foundation treatment effect cloud platform data management and early warning module 14; after the soft foundation processing effect cloud platform data management and early warning module 14 is compared with the early warning value, relevant information is sent to the mobile phone remote receiving module 15;
wherein, the graph display module of the worker receiving module displays road condition information and the evaluation result of the soft foundation treatment effect, and the early warning module carries out early warning on road foundation deformation and large precipitation; the chart display module of the police receiving module displays vehicle illegal information, and the early warning module carries out early warning on water level rapid change, road surface collapse and landslide disasters.
The optical fiber data processing and analyzing module 11 comprises a computer processing core module, a wireless data receiving module, a data exporting module and a power supply module.
The computer processing core module comprises a temperature compensation processing module, a wavelet denoising and data smoothing processing module, a settlement data processing module, a climate data processing module and a steel sheet pile deformation processing module.
The monitoring result display module 12 comprises a data receiving module, a data chart processing module, an image generating module, a data transmission module and a power supply module.
The highway soft foundation treatment effect evaluation module 13 comprises a data receiving module, a treatment effect evaluation module, a chart display module, a wireless data transmission module and a power supply module.
The soft foundation treatment effect cloud platform data management and early warning module 14 comprises a data receiving module, a wireless data transmission module, a chart display module, an information base module, an early warning module and a power supply module.
The information base module comprises a monitoring data storage and updating module, a road section principal information storage and calling module, a secondary processing scheme storage and calling module, a related construction unit information storage and calling module and a cooperative traffic police department information storage and calling module.
The mobile phone remote receiving module 15 comprises a worker receiving module and an police receiving module, and both comprise a data receiving module, a chart display module, an early warning module and a power supply module. Wherein, the graph display module of the worker receiving module displays road condition information and the evaluation result of the soft foundation treatment effect, and the early warning module carries out early warning on road foundation deformation and large precipitation; the chart display module of the police receiving module displays vehicle illegal information, and the early warning module carries out early warning on water level rapid change, road surface collapse and landslide disasters.
The early warning module comprises an early warning value setting module, a monitoring data and early warning value comparison module and an acousto-optic warning module.
As shown in fig. 2, the 3D printing modeling module 2 establishes a three-dimensional model according to a processing scheme and introduces the three-dimensional model into the 3D printer 3, a raw material tank 3a of the 3D printer 3 is filled with a metal powder material, the metal powder material enters a printing nozzle 3D through a raw material delivery pump 3c and a raw material delivery pipeline 3b, and the printing nozzle 3D prints the metal powder material and solidifies the metal powder material to form the snowflake-shaped steel sheet pile 4.
As shown in fig. 3, 4, 5 and 6, the snowflake-shaped steel sheet pile 4 comprises a pile body, a steel sheet pile tip 17 and a steel sheet pile cap 18, which are integrally formed by the 3D printer 3. The steel sheet pile tip 17 penetrates into the roadbed in the pile pressing and piling processes, and the steel sheet pile cap 18 is used for equalizing load and preventing stress concentration. The strain optical fiber 7a and the temperature compensation optical fiber 7b are fixed on the snowflake-shaped steel sheet pile body and connected with the optical fiber data automatic acquisition module 8.
And (3) after the snowflake-shaped steel sheet piles are transported to the site, driving the snowflake-shaped steel sheet piles into the roadbed at the designed position in a pile driving and pile pressing mode according to the scheme given by the highway soft foundation processing scheme cloud database module 1.
As shown in fig. 7 and 8, the strain optical fiber 7a and the temperature compensation optical fiber 7b are arranged on the geogrid 5 along the geogrid grid, and the temperature compensation optical fiber 7b and the self-heating optical fiber temperature sensor 7c are arranged on the inner wall of the climate monitoring module 6; and is connected with an optical fiber data automatic acquisition and transmission module 8 through an optical fiber lead 7 d. The geogrid 5 is paved in a roadbed surface layer or a roadbed layer near the reinforcement of the steel sheet pile so as to monitor the roadbed processing effect; the climate monitoring module 6 is arranged beside the road near the reinforcement of the steel sheet piles. The strain optical fiber 7a, the temperature compensation optical fiber 7b and the self-heating optical fiber temperature sensor 7c are all PE optical fibers, and the strain optical fiber 7d is an optical fiber exposed above the road surface and needs to be protected by a protective sleeve 16;
the invention discloses a monitoring and early warning method of an intelligent processing and monitoring system for highway soft foundation, which comprises the following steps:
(1) the method comprises the steps that cases, design construction and engineering parameter information are input into a highway soft foundation processing scheme cloud database module 1 in advance, when soft foundation processing is needed, engineering parameters for field exploration are input according to requirements, and the highway soft foundation processing scheme cloud database module 1 automatically screens schemes meeting reinforcement requirements, including but not limited to snowflake-shaped steel sheet pile size and layout schemes;
(2) the scheme is wirelessly sent to a 3D printing modeling module 2, and a three-dimensional model is established by using three-dimensional modeling software; converting the model into an STL format, importing the model into 3D printing software, adding materials meeting requirements, such as metal powder, into a raw material box 3a, and printing the snowflake-shaped steel sheet pile 4 by a 3D printer 3; when in printing, the integrated snowflake-shaped steel sheet pile or the assembled snowflake-shaped steel sheet pile is selected and printed according to engineering requirements and actual conditions;
(3) transporting the snowflake-shaped steel sheet pile 4 to the site, adhering and fixing the strain optical fiber 7a and the temperature compensation optical fiber 7b on the snowflake-shaped steel sheet pile by using epoxy resin, and further fixing the strain optical fiber and the temperature compensation optical fiber by using a fastener; meanwhile, the strain optical fiber 7a and the temperature compensation optical fiber 7b are arranged on the front surface of the grid of the geogrid 5; binding the grid by using a binding belt, straightening the strain optical fiber 7a during binding, and applying no acting force on the temperature compensation optical fiber 1 b; the temperature compensation optical fiber 7b and the self-heating optical fiber sensor 7c are fixed on the inner wall of the climate monitoring module 6 after being protected by a rigid protective sleeve;
(4) the pile driver lifts the snowflake-shaped steel sheet pile 4, the pile body is vertical to the roadbed, the redundant optical fiber lead wires 1d are well protected, and the snowflake-shaped steel sheet pile 4 is driven into the roadbed by adopting a pile pressing and piling method according to the scheme given by the highway soft foundation processing scheme cloud database module 1; fixing a climate monitoring module 6 provided with a temperature compensation optical fiber and a self-heating optical fiber temperature sensor beside a road where the snowflake-shaped steel sheet pile 4 is driven in, collecting initial data of the temperature compensation optical fiber and recording the temperature at that time; the bottom surface of the water collecting device is horizontal, so that the measured precipitation is accurate; protecting the optical fiber lead 7d with the reserved length by using a protective sleeve 16, leading the optical fiber lead to the optical fiber data automatic acquisition and transmission module 8, welding the optical fiber lead with a jumper wire, and connecting the optical fiber lead to the optical fiber data automatic acquisition and transmission module 8; excavating nearby the driving position of the snowflake-shaped steel sheet pile 4, leveling a foundation soil layer, and paving the geogrid 5 provided with the strain optical fibers 7a and the temperature compensation optical fibers 7b in a roadbed nearby the snowflake-shaped steel sheet pile 4 to enable the geogrid 5 to be tightly attached to a field and ensure that the geogrid and a soil body deform in a coordinated manner; and after paving, filling, leveling and rolling are carried out in time. The construction points are all arranged in the camera shooting range of the on-site road condition monitoring module 9, so that on-site images and monitoring data can be compared and checked conveniently. The set length is reserved in the optical fiber respectively so as to be convenient for being connected with the optical fiber data automatic acquisition device 8 in the later period. In the work progress, the optic fibre of reserving is protected with the protective sheath, prevents to fill out the soil, the flattening and grout in-process from causing the damage to the optic fibre.
(5) The optical fiber data automatic acquisition and transmission module 8 and the field road condition monitoring module 9 are connected with the solar power supply and data transmission module 10, and the timeliness and effectiveness of monitoring by the field road condition monitoring module 9 are tested; after the roadbed is filled with soil, the strain optical fiber 7a, the temperature compensation optical fiber 7b and the self-heating optical fiber temperature sensor 7c extending out of the roadbed are respectively welded with a jumper wire, a thermal expansion pipe is added at the welded position of the optical fibers to increase rigidity and durability, the welded optical fibers are connected into different channels of the optical fiber data automatic acquisition and transmission module 8 according to settlement, pile foundation deformation and precipitation distribution in a monitoring system, the connectivity of a circuit is tested, relevant parameters are set, and data are acquired in a trial mode to determine the effectiveness of the data. And meanwhile, initial data collected by the climate monitoring module 6 and the on-site atmospheric temperature are recorded, so that the temperature data can be accumulated in the later period conveniently.
(6) The field road condition monitoring module 9 transmits monitored real-time road condition and vehicle information to the solar power supply and data transmission module 10, the solar power supply and data transmission module 10 wirelessly transmits the real-time road condition and vehicle information to the soft foundation processing effect cloud platform data management and early warning module 14, and the soft foundation processing effect cloud platform data management and early warning module 14 judges and early warns existing landslide road condition and vehicle illegal information;
(7) the optical fiber data automatic acquisition device 8 acquires data, packages the data respectively and transmits the data to the solar power supply and data transmission module 10, the solar power supply and data transmission module 10 sends the data to the optical fiber data processing and analysis module 11, the optical fiber data is subjected to automatic extraction processing, denoising and smoothing, ideal data are obtained finally, the ideal data are converted into roadbed settlement, precipitation, temperature and pile foundation deformation related information according to a formula and are transmitted to the monitoring result display module 12, and the information is displayed on a screen in a graph form;
(8) the monitoring result display module 12 transmits data to the highway soft foundation treatment effect evaluation module 13, the highway soft foundation treatment effect evaluation module 13 evaluates the possibility that roadbed settlement, steel sheet pile effect exertion and precipitation cause roadbed diseases or influence on reinforcement effect according to a preset program and in combination with received information, scores the road settlement, steel sheet pile effect exertion and precipitation cause roadbed diseases, displays the road settlement, precipitation and pile foundation deformation on a screen, packages the road settlement, precipitation and pile foundation deformation information and transmits the road settlement, precipitation and pile foundation deformation information to the soft foundation treatment effect cloud platform data management and early warning module 14 in a wireless mode;
(9) the soft foundation processing effect cloud platform data management and early warning module 14 compares the evaluation result with the early warning value, if the evaluation result is better, the contact way of the road section responsible person in the information base is called according to the preset time period, and the data and the scene road condition picture are sent to the mobile phone remote receiving module 15 regularly; if the soft foundation processing evaluation result reaches the early warning value, which indicates that the processing effect is not good enough, a secondary reinforcement scheme database in the information base is called, and the monitoring data, the scene road condition picture, the roadbed processing effect evaluation result, the secondary reinforcement scheme and the construction unit information are sent to a mobile phone remote receiving module 15 of a road segment responsible person; if the situation that the vehicle is overspeed and illegal is captured by the field road condition monitoring module 9 in the period, calling the contact way of the cooperative traffic police department in the information base, and sending the information to the mobile phone remote receiving module 15; if the condition that the road surface collapses, landslide hazards or road accidents are easily caused by rainstorm occurs, or the weather monitoring module monitors that the precipitation amount rapidly changes, the contact way of a cooperative traffic police department, a road segment responsible person and a sudden disaster event management department in the information base is called, and information is sent to the mobile phone remote receiving module 15 to perform early warning on the information.
Claims (10)
1. The utility model provides a monitoring system is handled to highway soft base intelligence which characterized in that: the system comprises a highway soft foundation treatment scheme cloud database module (1), a snowflake-shaped steel sheet pile 3D printing module, a snowflake-shaped steel sheet pile deformation optical fiber sensing module, a roadbed settlement optical fiber sensing module, a climate change optical fiber sensing module, an optical fiber data automatic acquisition and transmission module (8), an on-site road condition monitoring module (9), a solar power supply and data transmission module (10), an optical fiber data processing and analysis module (11), a monitoring result display module (12), a highway soft foundation treatment effect evaluation module (13), a soft foundation treatment effect cloud platform data management and early warning module (14) and a mobile phone remote receiving module (15);
the snowflake-shaped steel sheet pile 3D printing module comprises a 3D printing modeling module (2), a 3D printer (3) and a snowflake-shaped steel sheet pile which is printed and used for soft foundation treatment;
the snowflake-shaped steel sheet pile deformation optical fiber sensing module comprises a snowflake-shaped steel sheet pile, and a strain optical fiber (7a) and a temperature compensation optical fiber (7b) which are arranged on the snowflake-shaped steel sheet pile;
the roadbed settlement optical fiber sensing module comprises a geogrid (5), and a strain optical fiber and a temperature compensation optical fiber which are arranged on the geogrid;
the climate change optical fiber sensing module comprises a climate monitoring module (6), and a temperature compensation optical fiber and a self-heating optical fiber temperature sensor (7c) which are arranged on the climate monitoring module;
the highway soft foundation processing scheme cloud database module (1) calls a scheme and sends the scheme to the 3D printing modeling module (2); the 3D printing modeling module (2) establishes a snowflake-shaped steel sheet pile (4)3D printing model and sends the snowflake-shaped steel sheet pile (4) to the 3D printer (3);
the mobile phone remote receiving module comprises a worker receiving module and an police receiving module, and the worker receiving module and the police receiving module respectively comprise a data receiving module, a chart display module, an early warning module and a power supply module;
the solar power supply and data transmission module (10) wirelessly transmits live monitoring of the on-site road condition monitoring module (9) to the soft foundation processing effect cloud platform data management and early warning module (14), and wirelessly transmits data acquired by the optical fiber data automatic acquisition and transmission module (8) to the optical fiber data processing and analysis module (11);
the output end of the optical fiber data processing and analyzing module (11) is connected with a monitoring result display module (12); the output end of the monitoring result display module (12) is connected with an expressway soft foundation treatment effect evaluation module (13); the expressway soft foundation treatment effect evaluation module (13) remotely transmits the evaluation result to the soft foundation treatment effect cloud platform data management and early warning module (14); the soft foundation processing effect cloud platform data management and early warning module (14) remotely transmits the evaluation of the soft foundation processing effect, the monitoring result and the road condition live monitoring to the corresponding mobile phone remote receiving module (15).
2. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the climate monitoring module (6) comprises a rainwater collection module, a precipitation monitoring module and an air temperature monitoring module.
3. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the optical fiber data automatic acquisition and transmission module (8) comprises a dynamic data acquisition module, a data classification and packaging module and a remote parameter setting module.
4. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the on-site road condition monitoring module (9) comprises a camera module, a camera module and a speed measuring module.
5. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the solar power supply and data transmission module (10) comprises a solar power generation module (10a), a voltage stabilization and transformation module (10b) and a wireless data transmission module (10 c).
6. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the optical fiber data processing and analyzing module (11) comprises a computer processing core module, a wireless data receiving module, a data exporting module and a power supply module; the computer processing core module comprises a temperature compensation processing module, a wavelet denoising and data smoothing processing module, a settlement data processing module, a climate data processing module and a steel sheet pile deformation processing module.
7. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the monitoring result display module (12) comprises a data receiving module, a data chart processing module, an image generating module, a data transmission module and a power supply module.
8. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the expressway soft foundation treatment effect evaluation module (13) comprises a data receiving module, a treatment effect evaluation module, a chart display module, a wireless data transmission module and a power supply module.
9. The intelligent processing and monitoring system for the soft foundation of the highway according to claim 1, wherein: the soft foundation processing effect cloud platform data management and early warning module (14) comprises a data receiving module, a wireless data transmission module, a chart display module, an information base module, an early warning module and a power supply module.
10. An intelligent processing, monitoring and early warning method for a soft foundation of a highway is characterized by comprising the following steps: the intelligent processing and monitoring system for the soft foundation of the expressway for monitoring and early warning as recited in any one of claims 1 to 9, wherein the method comprises the following steps:
(1) inputting the working condition information of the road section needing soft foundation reinforcement treatment into a highway soft foundation treatment scheme cloud database module (1) and screening a scheme;
(2) the scheme is wirelessly sent to a 3D printing modeling module (2), and a three-dimensional model is established by using three-dimensional modeling software;
(3) importing the model into 3D printing software, and printing the snowflake-shaped steel sheet pile by using a 3D printer;
(4) fixing the strain optical fiber (7a) and the temperature compensation optical fiber (7b) on the snowflake-shaped steel sheet pile; simultaneously respectively bonding the strain optical fiber (7a) and the temperature compensation optical fiber (7b) on the surface of the geogrid (5); the temperature compensation optical fiber (7b) and the self-heating optical fiber temperature sensor (7c) are arranged on the inner wall of the climate monitoring module (6) in a bonding mode;
(5) the snowflake-shaped steel sheet pile provided with the strain optical fiber and the temperature compensation optical fiber is driven into a roadbed according to the scheme given by the highway soft foundation processing scheme cloud database module (1);
(6) the geogrid (5) provided with the strain optical fibers and the temperature compensation optical fibers is flatly laid in a roadbed beside the snowflake-shaped steel sheet pile (4);
(7) fixing a climate monitoring module (6) provided with a temperature compensation optical fiber and a self-heating optical fiber temperature sensor beside a road, collecting initial data of the temperature compensation optical fiber and recording the temperature at that time;
(8) connecting the optical fiber lead to an optical fiber data automatic acquisition and transmission module (8);
(9) after the solar power generation panel (10a) is connected with the voltage stabilizing and transforming device (10b), the solar power generation panel is connected to a wireless data transmission module (10c), an optical fiber data automatic acquisition and transmission module (8) and a field road condition monitoring module (9) for power supply;
(10) the optical fiber data automatic acquisition and transmission module (8) acquires optical fiber monitoring data, and the field road condition monitoring module (9) acquires road condition and vehicle information; the wireless data transmission module (10c) wirelessly transmits the acquired optical fiber monitoring data to the optical fiber data processing and analyzing module (11), and wirelessly transmits road condition and vehicle information to the soft foundation processing effect cloud platform data management and early warning module (14);
(11) the optical fiber data processing and analyzing module (11) receives data transmitted by the wireless data transmission module (10c), records wavelength data of the sensing optical fiber, performs denoising processing on the wavelength data and performs temperature compensation on the wavelength data corresponding to variable data, converts the wavelength data into required subgrade settlement and pile body deformation information, and accumulates temperature variation and a temperature initial value acquired by the climate monitoring module (6);
(12) the optical fiber data processing and analyzing module (11) is connected with the monitoring result display module (12), the monitoring result display module (12) receives information processed by the optical fiber data processing and analyzing module (11), presents the information on a screen in a chart form, and guides the information into the high-speed highway soft foundation processing effect evaluation module (13);
(13) the highway soft foundation treatment effect evaluation module (13) receives the data given by the monitoring result display module (12), evaluates the roadbed treatment effect according to a preset program, displays different types of evaluation results, and wirelessly sends the evaluation results to the soft foundation treatment effect cloud platform data management and early warning module (14);
(14) the soft foundation processing effect cloud platform data management and early warning module (14) receives data and then compares the data with a preset early warning value, receives the real-time road condition transmitted by the field monitoring module (9), and transmits the monitoring result and the real-time road condition to the mobile phone remote receiving module (15).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010644953.7A CN111896049A (en) | 2020-07-07 | 2020-07-07 | Intelligent processing monitoring system and monitoring early warning method for highway soft foundation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010644953.7A CN111896049A (en) | 2020-07-07 | 2020-07-07 | Intelligent processing monitoring system and monitoring early warning method for highway soft foundation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111896049A true CN111896049A (en) | 2020-11-06 |
Family
ID=73191828
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010644953.7A Pending CN111896049A (en) | 2020-07-07 | 2020-07-07 | Intelligent processing monitoring system and monitoring early warning method for highway soft foundation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111896049A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189300A (en) * | 2021-03-16 | 2021-07-30 | 漳州职业技术学院 | Method and terminal for detecting soft foundation road section state |
| CN113295851A (en) * | 2021-05-25 | 2021-08-24 | 山东省地质矿产勘查开发局第六地质大队(山东省第六地质矿产勘查院) | Mine geological environment early warning device and early warning method thereof |
| CN114413832A (en) * | 2021-12-02 | 2022-04-29 | 中国通信建设第三工程局有限公司 | Road monitoring system and method based on optical fiber sensing |
| CN116125860A (en) * | 2022-12-12 | 2023-05-16 | 河海大学 | High-speed railway road multiple-site control and monitoring system and method in plateau frozen soil area |
| CN116125860B (en) * | 2022-12-12 | 2024-05-24 | 河海大学 | High-speed railway road multiple-site control and monitoring system and method in plateau frozen soil area |
-
2020
- 2020-07-07 CN CN202010644953.7A patent/CN111896049A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189300A (en) * | 2021-03-16 | 2021-07-30 | 漳州职业技术学院 | Method and terminal for detecting soft foundation road section state |
| CN113295851A (en) * | 2021-05-25 | 2021-08-24 | 山东省地质矿产勘查开发局第六地质大队(山东省第六地质矿产勘查院) | Mine geological environment early warning device and early warning method thereof |
| CN114413832A (en) * | 2021-12-02 | 2022-04-29 | 中国通信建设第三工程局有限公司 | Road monitoring system and method based on optical fiber sensing |
| CN114413832B (en) * | 2021-12-02 | 2023-12-15 | 中国通信建设第三工程局有限公司 | Road monitoring system and method based on optical fiber sensing |
| CN116125860A (en) * | 2022-12-12 | 2023-05-16 | 河海大学 | High-speed railway road multiple-site control and monitoring system and method in plateau frozen soil area |
| CN116125860B (en) * | 2022-12-12 | 2024-05-24 | 河海大学 | High-speed railway road multiple-site control and monitoring system and method in plateau frozen soil area |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111896049A (en) | Intelligent processing monitoring system and monitoring early warning method for highway soft foundation | |
| CN105178150B (en) | Fiber grating sensing-based asphalt pavement compaction monitoring method | |
| CN111795676B (en) | Dam dangerous case emergency early warning system | |
| CN111105600B (en) | Cutting slope stability dynamic monitoring and early warning system and method based on rainfall condition | |
| CN105043344B (en) | A kind of sedimentation distribution monitoring system and monitoring method based on continuous fiber section bar | |
| CN107100210B (en) | The pile-soil interaction mechanical behavior of controllable ambient stress tests system | |
| CN105735375B (en) | Method and system for monitoring stability of loess tunnel bottom and construction method | |
| CN108680733A (en) | A kind of intelligent perception system and method for bituminous paving military service performance | |
| CN109631772A (en) | Road surface based on OFDR Fibre Optical Sensor collapses warning monitoring system and method | |
| CN110849321A (en) | Concrete pouring height real-time monitoring method and system | |
| CN111829585A (en) | Highway subgrade disease monitoring system and method based on OFDR | |
| CN111981967A (en) | Remote visual monitoring system for landslide deep displacement | |
| Monsberger et al. | Large-scale distributed fiber optic sensing network for short and long-term integrity monitoring of tunnel linings | |
| CN113267162A (en) | Method and device for measuring tamping settlement based on laser ranging and image recognition technology | |
| CN108168510B (en) | Roadbed settlement deformation monitoring system based on fiber bragg grating and installation method thereof | |
| CN105157999B (en) | Appraisal procedure based on Distributed Optical Fiber Sensing Techniques pile integrality and lateral displacement | |
| CN104406536B (en) | The test device and method of pile net structure GSZ amount of deflection distribution | |
| CN212340315U (en) | Highway soft foundation monitoring device | |
| CN212340314U (en) | Highway subgrade disease monitoring devices based on OFDR | |
| CN117388082B (en) | Forward-pulling type tunnel anchor indoor test model and test method | |
| CN106638728A (en) | Method for sensing and checking danger of deep foundation pit in real time | |
| US20230049699A1 (en) | Sensor-enabled system and method for monitoring the health, condition, and/or status of pavement and vehicular infrastructure | |
| CN111735493A (en) | Intelligent construction control method and equipment for dynamic consolidation of large-area complex site foundation of water transport engineering | |
| CN104215365A (en) | Pavement structure layer internal shearing stress testing sensor and embedding technology and application thereof | |
| CN208172969U (en) | A kind of high slope surface deformation monitoring and warning system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |