CN105277672A - Frozen soil zone airport runway soil matrix strength monitoring system and control evaluation method - Google Patents
Frozen soil zone airport runway soil matrix strength monitoring system and control evaluation method Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 54
- 238000006073 displacement reaction Methods 0.000 claims abstract description 30
- 238000013480 data collection Methods 0.000 claims abstract description 24
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Abstract
The present invention is a frozen soil zone airport runway soil matrix strength monitoring system and a control evaluation method, the frozen soil zone airport runway soil matrix strength monitoring system includes a plurality of buried type data acquisition modules, a data collection module and a monitoring evaluation module, theburied type data acquisition module comprises a temperature sensor, a displacement sensor, an industrial computer, a memory, a Bluetooth transmitter and a solar storage battery, the data collection module is a tablet personal computer with Bluetooth connectivity function, and the monitoring evaluation module is a computer with monitor evaluation software. According to the frozen soil zone airport runway temperature rise effect monitoring evaluation system and the control method, soil matrix deformation in aircraft take-off and landing and taxiing processes can be dynamically tested and recorded, influence of the temperature rise effect on a frozen soil zone airport runway can be detected and evaluated, a method to enhance the safe operation support capabilities of airports in cold zones is provided, and the method is scientific and rational, convenient in construct, and easy to promote and use.
Description
Technical field
The invention belongs to airport engineering technical field, particularly relate to a kind of permafrost region airfield runway soil matrix intensity monitoring system and control evaluation method.
Background technology
Along with the development of civil aviaton's industry, put into operation in increasing airport.Along with the increase of working time, also expose many engineering problem, especially build the airport in eternal frozen ground region, in the freeze-thawing process of spring and autumn underground water, very easily cause frost heave, cause face to destroy.Mo River airport is that first, China builds civil airport in eternal frozen ground region, along with the continuous increase of airport construction in particular circumstances, and research direction that Civil Aviation Airport builds that CAAC proposes " under particular surroundings ".
But, in Practical Project, the practical experience of the relevant traffic such as railway, highway transport field can only be used for reference, the broad width road structure that, width relatively short for airfield runway obviously increases, also lack enough research.Especially the wprks that above-mentioned temperature-rise effect causes lacks enough Monitoring Data especially.Therefore, for improving the security performance of airfield runway, be necessary to develop a set of face, road soil matrix intensity monitoring system because of temperature impact, especially the soil matrix of spring and autumn soil matrix inner pore water freeze thawing stage appearance caves in or swells, can obtain the Strength Changes of soil matrix in real time from supervisory system, when soil matrix intensity occurring and changing, supervisory system sends early warning to airdrome control personnel, thus in time maintenance process is carried out to the soil matrix of change, ensure the safety on airport.
Summary of the invention
In order to solve the problem, the object of the present invention is to provide a kind of permafrost region airfield runway soil matrix intensity monitoring system.
Another object of the present invention is to provide a kind of supervisory system to control the method for soil matrix change.
Another object of the present invention is to provide a kind of supervisory system to evaluate the method for soil matrix change.
The object of the invention is to be achieved through the following technical solutions:
A kind of permafrost region airfield runway soil matrix intensity monitoring system, it is characterized in that: described permafrost region airfield runway temperature rise effectiveness monitoring evaluation system comprises buried data acquisition module, data collection module and monitoring evaluation module, described buried data acquisition module is by temperature sensor, displacement transducer, industrial computer, storer, bluetooth transmitters and solar storage battery composition, wherein temperature sensor, displacement transducer, storer, bluetooth transmitters is connected on the controller with solar storage battery, wherein temperature sensor and displacement transducer to be embedded in runway soil matrix and to be connected with industrial computer, storer and bluetooth transmitters are arranged on industrial computer, be connected with industrial computer by power lead in the Cao Mian district that solar storage battery is arranged at runway both sides, described data collection module is the panel computer with bluetooth linkage function, described monitoring evaluation module is the computing machine being provided with monitoring evaluation software.
Described permafrost region airfield runway soil matrix intensity monitoring system, is characterized in that: temperature sensor and displacement transducer are arranged in the soil matrix of track elements layer bottom, buried depth is below runway pavement 0.5 meter-9 meters, and vertically 0.5 meter, interval is evenly arranged.
Described permafrost region airfield runway soil matrix intensity monitoring system, is characterized in that: separate during multiple industrial computer work, independently carries out data transmission by bluetooth and data collection module.
Utilize supervisory system to control native rheobasic method, it is characterized in that performing the following step in order:
1) in the S1 stage of system electrification self-inspection: in this stage, user manually boots the power supply of each industrial computer (6), system enters the S2 stage after starting;
2) the S2 stage of data acquisition and record: in this stage, be embedded in temperature sensor in runway soil matrix and displacement transducer gather soil matrix Temperature numerical and shift value and collection result is fed back to industrial computer, institute's collection result is stored in storer, then enters the S3 stage;
3) the S3 stage of carrying out data transmission is judged whether: in this stage, panel computer carries out wireless connections by bluetooth transmitters and industrial computer, when after successful connection, and the button that judges whether user clicks " collection data ", if judged result is "Yes", then enter the S4 stage; If judged result is "No", then return the S2 stage;
4) in the S4 stage of data upload: in this stage, on the industrial computer connect current flat panel computer, storer recorded data is uploaded to panel computer, and the data record on the industrial computer emptying current connection subsequently in storer, then enters the S5 stage;
5) the S5 stage whether Data Collection terminates is judged: in this stage, according to user operation, the data collection software be built in panel computer (10) will judge whether Data Collection terminates, if judged result is "No", then be built in the industrial computer that the next one that is certainly dynamically connected is numbered by the data collection software in panel computer, and return the S3 stage; If judged result is "Yes", then terminates receipt and collect and by data upload in the computing machine of monitoring evaluation module, then enter the S6 stage;
6) S6 stage of data analysis: in this stage, the analysis software installed in the computing machine of monitoring evaluation module evaluates native rheobasic Changing Pattern to obtained data analysis, and then user cuts off the power supply of each industrial computer, system finishing operation.
Utilize supervisory system control to evaluate native rheobasic method, it is characterized in that performing the following step in order:
1) the S201 stage of system startup: in this stage, user manually switches on power for each industrial computer, then enters the S202 stage;
2) the S202 stage of soil matrix temperature and displacement data collection: in this stage, the soil matrix vibration displacement numerical value time-history curves caused by industrial computer record aircraft taxi process and corresponding temperature value, and by records of values in storer, then enter the S203 stage;
3) the S203 stage of soil matrix temperature and displacement data collection: in this stage, staff utilizes panel computer to collect soil matrix temperature and the displacement data of each measuring point, then enters the S204 stage;
4) the S204 stage of data cutout: in this stage, the analysis software installed in the computing machine of monitoring evaluation module reads the temperature and displacement time course data curve of collecting, and according to the data in signal occurrence law intercepting certain limit as data to be analyzed, then enter the S205 stage;
5) the S205 stage of Data Matching: in this stage, monitoring evaluation module computing machine in install analysis software read aircraft model information and takeoff and landing time weight information, and with corresponding data intercept Corresponding matching, then enter the S206 stage;
6) in the S206 stage of data analysis: in this stage, the analysis software installed in the computing machine of monitoring evaluation module carries out denoising and wavelet transformation analysis to data, extracts waveform character value, then enters the S207 stage;
7) the S207 stage whether soil matrix intensity is safe is judged: in this stage, soil matrix intensity level under the analysis software installed in the computing machine of monitoring evaluation module utilizes BP neural network to predict corresponding waveform character value, when the change of soil matrix intensity exceedes permissible value, to User Alarms; When soil matrix intensity changes in allowed band, enter the S208 stage;
8) draw the S208 stage of runway soil matrix intensity distribution: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) draws runway soil matrix intensity distribution according to the position coordinates of each industrial computer, then enters the S209 stage;
9) the S209 stage of soil matrix intensity variation curve is drawn: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) is according to the history evaluation record of each industrial computer, draw the soil matrix Strength Changes time-history curves of zones of different, for airfield runway, managerial personnel analyze, and so far whole evaluation procedure terminates.
Permafrost region airfield runway soil matrix intensity monitoring system provided by the invention and control evaluation method tool have the following advantages: 1) dynamic is strong.Utilize the vibration produced in aircraft taxi process, can Real-Time Monitoring soil matrix intensity change, detecting and assessing temperature rise effectiveness, on the impact of permafrost region airfield runway, obtains the rheobasic dynamic value of cold district's soil; 2) analyses and prediction science is reliable.The BP neural network prediction model utilizing long term data to set up has higher predicting reliability, thus provides the data of science for the runway safety management on airport; 3) the present invention solves the early warning problem of tension integral structure change, can expand the application of tension integral structure; 4) sun power is made full use of, energy-conserving and environment-protective; 5) construct convenient, cost is low.
Accompanying drawing explanation
Fig. 1 is the structural drawing of permafrost region airfield runway soil matrix intensity monitoring system provided by the invention.
Fig. 2 is the control method process flow diagram of permafrost region airfield runway soil matrix intensity monitoring system provided by the invention.
Fig. 3 is the evaluation method process flow diagram of permafrost region airfield runway soil matrix intensity monitoring system provided by the invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, permafrost region airfield runway soil matrix intensity monitoring system provided by the invention and control evaluation method are described in detail.
As shown in Figure 1, a kind of permafrost region airfield runway soil matrix intensity monitoring system provided by the invention, described permafrost region airfield runway temperature rise effectiveness monitoring evaluation system comprises multiple buried data acquisition module 1, data collection module 2 and monitoring evaluation module 3, described buried data acquisition module 1 is by temperature sensor 4, displacement transducer 5, industrial computer 6, storer 7, bluetooth transmitters 8 and solar storage battery 9 form, wherein temperature sensor 4, displacement transducer 5, storer 7, bluetooth transmitters 8 and solar storage battery 9 are connected on controller 6, wherein temperature sensor 4 and displacement transducer 5 are arranged at track elements layer bottom, the degree of depth is below runway pavement 0.5 meter-9 meters, vertically in the even runway soil matrix in 0.5 meter, interval, and be connected with industrial computer 6, storer 7 and bluetooth transmitters 8 are arranged on industrial computer 6, it is separate when multiple industrial computer 6 works, independently data transmission is carried out by bluetooth and data collection module 2.Be connected with industrial computer 6 by power lead in the Cao Mian district that solar storage battery 9 is arranged at runway both sides; Described data collection module 2 is the panel computer 10 with bluetooth linkage function; Described monitoring evaluation module 3 is for being provided with the computing machine of monitoring evaluation software.
The control method of permafrost region airfield runway soil matrix intensity monitoring system, is characterized in that: the following step performed in order:
1) in the S1 stage of system electrification self-inspection: in this stage, user manually boots the power supply of each industrial computer 6, system enters the S2 stage after starting;
2) the S2 stage of data acquisition and record: in this stage, be embedded in temperature sensor 4 in runway soil matrix and displacement transducer 5 gather soil matrix Temperature numerical and shift value and collection result is fed back to industrial computer 6, institute's collection result is stored in storer 7, then enters the S3 stage;
3) the S3 stage of carrying out data transmission is judged whether: in this stage, dull and stereotyped electricity 10 carries out wireless connections by bluetooth transmitters 8 and industrial computer 6, when after successful connection, and the button that judges whether user clicks " collection data ", if judged result is "Yes", then enter the S4 stage; If judged result is "No", then return the S2 stage;
4) the S4 stage of data upload: in this stage, on the industrial computer 6 connected by current flat panel computer 10, storer 7 recorded data is uploaded to panel computer 10, data record on the industrial computer 6 emptying current connection subsequently in storer 7, then enters the S5 stage;
5) the S5 stage whether Data Collection terminates is judged: in this stage, according to user operation, the data collection software be built in panel computer 10 will judge whether Data Collection terminates, if judged result is "No", then be built in the industrial computer 6 that the next one that is certainly dynamically connected is numbered by the data collection software in panel computer 10, and return the S3 stage; If judged result is "Yes", then terminates receipt and collect and by data upload in the computing machine of monitoring evaluation module 3, then enter the S6 stage;
6) S6 stage of data analysis: in this stage, the analysis software installed in the computing machine of monitoring evaluation module 3 evaluates native rheobasic Changing Pattern to obtained data analysis, and then user cuts off the power supply of each industrial computer 6, system finishing operation.
The evaluation method of described permafrost region airfield runway soil matrix intensity monitoring system, is characterized in that: the following step performed in order:
1) the S201 stage of system startup: in this stage, user manually switches on power for each industrial computer 6, then enters the S202 stage;
2) the S202 stage of soil matrix temperature and displacement data collection: in this stage, industrial computer 6 records soil matrix vibration displacement numerical value time-history curves caused by aircraft taxi process and corresponding temperature value, and by records of values in storer 7, then enter the S203 stage;
3) the S203 stage of soil matrix temperature and displacement data collection: in this stage, staff utilizes panel computer 10 to collect soil matrix temperature and the displacement data of each measuring point, then enters the S204 stage;
4) the S204 stage of data cutout: in this stage, the analysis software installed in the computing machine of monitoring evaluation module 3 reads the temperature and displacement time course data curve of collecting, and according to the data in signal occurrence law intercepting certain limit as data to be analyzed, then enter the S205 stage;
5) the S205 stage of Data Matching: in this stage, monitoring evaluation module 3 computing machine in install analysis software read aircraft model information and takeoff and landing time weight information, and with corresponding data intercept Corresponding matching, then enter the S206 stage;
6) in the S206 stage of data analysis: in this stage, the analysis software installed in the computing machine of monitoring evaluation module 3 carries out denoising and wavelet transformation analysis to data, extracts waveform character value, then enters the S207 stage;
7) the S207 stage whether soil matrix intensity is safe is judged: in this stage, soil matrix intensity level under the analysis software installed in the computing machine of monitoring evaluation module 3 utilizes BP neural network to predict corresponding waveform character value, when the change of soil matrix intensity exceedes permissible value, to User Alarms; When soil matrix intensity changes in allowed band, enter the S208 stage;
8) draw the S208 stage of runway soil matrix intensity distribution: in this stage, the analysis software installed in the computing machine of monitoring evaluation module 3 draws runway soil matrix intensity distribution according to the position coordinates of each industrial computer 6, then enters the S209 stage;
9) the S209 stage of soil matrix intensity variation curve is drawn: in this stage, the analysis software installed in the computing machine of monitoring evaluation module 3 is according to the history evaluation record of each industrial computer 6, draw the soil matrix Strength Changes time-history curves of zones of different, for airfield runway, managerial personnel analyze, and so far whole evaluation procedure terminates.
Above operating process can be sketched and is: airfield runway managerial personnel be energized for each industrial computer 6 according to need of work, the vibration signal that produces because of aircraft taxi of multiple each position of buried data acquisition module 1 independent acquisition subsequently, when flight tempus intercalare, airfield runway managerial personnel utilize data collection module 2 to collect one by one vibration signal that multiple buried data acquisition module 1 is recorded to also is uploaded to monitoring evaluation module 3, monitoring evaluation module 3 obtains native rheobasic dynamic value by analyzing vibration signal, as analyzing face bearing capacity, the foundation of prediction face, road using function change.
Claims (5)
1. a permafrost region airfield runway soil matrix intensity monitoring system, it is characterized in that: described permafrost region airfield runway temperature rise effectiveness monitoring evaluation system comprises multiple buried data acquisition module (1), data collection module (2) and monitoring evaluation module (3), described buried data acquisition module (1) is by temperature sensor (4), displacement transducer (5), industrial computer (6), storer (7), bluetooth transmitters (8) and solar storage battery (9) composition, wherein temperature sensor (4), displacement transducer (5), storer (7), bluetooth transmitters (8) and solar storage battery (9) are connected on controller (6), wherein temperature sensor (4) and displacement transducer (5) to be embedded in runway soil matrix and to be connected with industrial computer (6), storer (7) and bluetooth transmitters (8) are arranged on industrial computer (6), be connected with industrial computer (6) by power lead in the Cao Mian district that solar storage battery (9) is arranged at runway both sides, described data collection module (2) is the panel computer (10) with bluetooth linkage function, described monitoring evaluation module (3) is for being provided with the computing machine of monitoring evaluation software.
2. a kind of permafrost region airfield runway soil matrix intensity monitoring system according to claim 1, it is characterized in that: temperature sensor (4) and displacement transducer (5) are arranged in the soil matrix of track elements layer bottom, buried depth is below runway pavement 0.5 meter-9 meters, and vertically 0.5 meter, interval is evenly arranged.
3. a kind of permafrost region airfield runway soil matrix intensity monitoring system according to claim 1, is characterized in that: separate during multiple industrial computer (6) work, independently carries out data transmission by bluetooth and data collection module (2).
4. a control method for permafrost region airfield runway soil matrix intensity monitoring system as claimed in claim 1, is characterized in that: the following step that described control method performs in order:
1) in the S1 stage of system electrification self-inspection: in this stage, user manually boots the power supply of each industrial computer (6), system enters the S2 stage after starting;
2) the S2 stage of data acquisition and record: in this stage, be embedded in temperature sensor (4) in runway soil matrix and displacement transducer (5) gather soil matrix Temperature numerical and shift value and collection result fed back to industrial computer (6), institute's collection result is stored in storer (7), then enters the S3 stage;
3) the S3 stage of carrying out data transmission is judged whether: in this stage, panel computer (10) carries out wireless connections by bluetooth transmitters (8) and industrial computer (6), when after successful connection, the button that judges whether user clicks " collection data ", if judged result is "Yes", then enter the S4 stage; If judged result is "No", then return the S2 stage;
4) the S4 stage of data upload: in this stage, upper storer (7) recorded data of the industrial computer (6) connected by current flat panel computer (10) is uploaded to panel computer (10), empty the data record in the upper storer (7) of industrial computer (6) of current connection subsequently, then enter the S5 stage;
5) the S5 stage whether Data Collection terminates is judged: in this stage, according to user operation, the data collection software be built in panel computer (10) will judge whether Data Collection terminates, if judged result is "No", then be built in the industrial computer (6) that the next one that is certainly dynamically connected is numbered by the data collection software in panel computer (10), and return the S3 stage; If judged result is "Yes", then terminates receipt and collect and by data upload in the computing machine monitoring evaluation module (3), then enter the S6 stage;
6) the S6 stage of data analysis: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) evaluates native rheobasic Changing Pattern to obtained data analysis, then user cuts off the power supply of each industrial computer (6), and system finishing runs.
5. an evaluation method for permafrost region airfield runway soil matrix intensity monitoring system as claimed in claim 1, is characterized in that: the following step that described evaluation method performs in order:
1) the S201 stage of system startup: in this stage, user manually switches on power for each industrial computer (6), then enters the S202 stage;
2) the S202 stage of soil matrix temperature and displacement data collection: in this stage, soil matrix vibration displacement numerical value time-history curves caused by industrial computer (6) record aircraft taxi process and corresponding temperature value, and by records of values in storer (7), then enter the S203 stage;
3) the S203 stage of soil matrix temperature and displacement data collection: in this stage, staff utilizes panel computer (10) to collect soil matrix temperature and the displacement data of each measuring point, then enters the S204 stage;
4) the S204 stage of data cutout: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) reads the temperature and displacement time course data curve of collecting, and according to the data in signal occurrence law intercepting certain limit as data to be analyzed, then enter the S205 stage;
5) the S205 stage of Data Matching: in this stage, monitoring evaluation module (3) computing machine in install analysis software read aircraft model information and takeoff and landing time weight information, and with corresponding data intercept Corresponding matching, then enter the S206 stage;
6) in the S206 stage of data analysis: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) carries out denoising and wavelet transformation analysis to data, extracts waveform character value, then enters the S207 stage;
7) the S207 stage whether soil matrix intensity is safe is judged: in this stage, soil matrix intensity level under the analysis software installed in the computing machine of monitoring evaluation module (3) utilizes BP neural network to predict corresponding waveform character value, when the change of soil matrix intensity exceedes permissible value, to User Alarms; When soil matrix intensity changes in allowed band, enter the S208 stage;
8) draw the S208 stage of runway soil matrix intensity distribution: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) draws runway soil matrix intensity distribution according to the position coordinates of each industrial computer (6), then enters the S209 stage;
9) the S209 stage of soil matrix intensity variation curve is drawn: in this stage, the analysis software installed in the computing machine of monitoring evaluation module (3) is according to the history evaluation record of each industrial computer (6), draw the soil matrix Strength Changes time-history curves of zones of different, for airfield runway, managerial personnel analyze, and so far whole evaluation procedure terminates.
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| CN107747263A (en) * | 2017-10-27 | 2018-03-02 | 中国科学院寒区旱区环境与工程研究所 | Utilize the system and control evaluation method of air bag regulation frozen soil insertion void ratio |
| CN111272876A (en) * | 2020-03-15 | 2020-06-12 | 中国民航大学 | Cold region airport runway structure health monitoring system and control evaluation method |
| CN111272877A (en) * | 2020-03-15 | 2020-06-12 | 中国民航大学 | Non-cold area airport runway structure health monitoring system and control evaluation method |
| CN111272876B (en) * | 2020-03-15 | 2023-01-24 | 中国民航大学 | Evaluation method of airport runway structure health monitoring system in cold region |
| CN111272877B (en) * | 2020-03-15 | 2023-01-24 | 中国民航大学 | Evaluation method of airport runway structure health monitoring system in non-cold region |
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