CN115288798B - Tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis - Google Patents
Tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis Download PDFInfo
- Publication number
- CN115288798B CN115288798B CN202211024928.4A CN202211024928A CN115288798B CN 115288798 B CN115288798 B CN 115288798B CN 202211024928 A CN202211024928 A CN 202211024928A CN 115288798 B CN115288798 B CN 115288798B
- Authority
- CN
- China
- Prior art keywords
- tunnel
- subarea
- maintenance
- monitoring
- ventilation
- 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.)
- Active
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 184
- 238000012544 monitoring process Methods 0.000 title claims abstract description 158
- 238000004458 analytical method Methods 0.000 title claims abstract description 84
- 238000009423 ventilation Methods 0.000 claims abstract description 126
- 238000012545 processing Methods 0.000 claims abstract description 6
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 45
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 40
- 230000007613 environmental effect Effects 0.000 claims description 40
- 238000005286 illumination Methods 0.000 claims description 39
- 238000011156 evaluation Methods 0.000 claims description 36
- 238000009413 insulation Methods 0.000 claims description 26
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 20
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 20
- 239000001569 carbon dioxide Substances 0.000 claims description 20
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 20
- 230000004044 response Effects 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 13
- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 claims description 12
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 claims description 12
- 239000013618 particulate matter Substances 0.000 claims description 9
- 239000000428 dust Substances 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 239000004615 ingredient Substances 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000006872 improvement Effects 0.000 description 18
- 238000004140 cleaning Methods 0.000 description 7
- 230000002159 abnormal effect Effects 0.000 description 5
- 206010063385 Intellectualisation Diseases 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention discloses a tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis, which comprises a lighting system maintenance monitoring analysis module, a ventilation system maintenance monitoring analysis module, a monitoring system maintenance monitoring analysis module, a tunnel maintenance analysis module and a tunnel maintenance processing module.
Description
Technical Field
The invention relates to the technical field of tunnel maintenance monitoring, in particular to an intelligent tunnel maintenance monitoring platform based on sensor acquisition and analysis.
Background
The tunnel electromechanical system is an important component of tunnel maintenance management construction, and mainly comprises a lighting system, a ventilation system, a monitoring system and the like, wherein the lighting system is an important guarantee of light rays in a tunnel, the ventilation system is an important guarantee of air quality in the tunnel, and the monitoring system provides a powerful foundation for timely finding abnormal conditions in the tunnel. It can be seen that monitoring and analyzing the equipment and maintenance of the tunnel electromechanical system is important.
At present, the attention of tunnel maintenance to an electromechanical system is insufficient, namely, the gravity center is usually placed in the aspects of tunnel pavement maintenance and tunnel stability maintenance, so that the maintenance of the tunnel electromechanical system is delayed, the safety of vehicle operation is reduced, and the following aspects are specifically shown:
1. the lighting system is generally arranged above a traffic lane or above a tunnel cross hole so as to meet the brightness requirement in a tunnel and avoid traffic accidents caused by abnormal light of the tunnel. At present, the brightness and uniformity of the lamp in the tunnel are monitored and analyzed, the line of the lighting lamp is ignored, the monitoring force of the lighting system is not strong, the reference performance is poor, the reliability of the analysis result is poor, the abnormal response efficiency of the lighting system cannot be improved, and then the potential safety hazard of running of vehicles in the tunnel is increased.
2. The ventilation system can dilute carbon monoxide, carbon dioxide inhalable particles and the like generated by running of the vehicle in the tunnel, and simultaneously fresh air is introduced into the tunnel to ensure that the air quality in the tunnel reaches the standard. At present, the environment state inside the tunnel and the running state of the ventilation equipment are often monitored and analyzed, and the collection equipment inside the tunnel is cleaned and dedusted in a set period, so that on one hand, the degree of automation and the degree of intellectualization are not high, the response efficiency of cleaning and maintaining the attachments on the surface of the collection equipment inside the tunnel can not be improved, and the running accuracy of the collection equipment is further reduced; on the other hand, the attachments on the surface of the collection equipment are not monitored in time and cleaned, so that the operation safety of the equipment is seriously affected, and the measurement precision and accuracy of the equipment are seriously affected, and the service cycle of the collection equipment in the tunnel is greatly shortened.
3. The monitoring system generally comprises a plurality of cameras and a plurality of environment monitoring devices, and reliable guarantee is provided for monitoring the internal state of the tunnel. At present, the monitoring system equipment is mainly inspected and maintained manually and regularly, the monitoring system equipment has certain subjectivity, and the monitoring accuracy is not high, so that the representativeness of the analysis basis is not strong, and the rationality of the analysis result is not enough.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme:
a tunnel maintenance intelligent monitoring platform based on sensor acquisition analysis includes:
the lighting system maintenance monitoring analysis module is used for dividing a target tunnel according to a preset dividing mode to obtain each tunnel subarea, acquiring the layout position of the lighting system circuit in each tunnel subarea, and simultaneously monitoring the lamps and the lighting circuit corresponding to each tunnel subarea, so as to analyze the lighting system maintenance coefficient corresponding to each tunnel subarea;
the ventilation system maintenance monitoring analysis module is used for acquiring the layout positions of the ventilation equipment lines in each tunnel subarea, monitoring the environment state corresponding to each tunnel subarea, collecting attachments on the surface of equipment and the running state of the ventilation equipment, and comprehensively analyzing the ventilation system maintenance coefficients corresponding to each tunnel subarea, wherein the ventilation system maintenance monitoring analysis module comprises an environment state monitoring analysis unit, a ventilation equipment running monitoring analysis unit and a ventilation system maintenance analysis unit;
The monitoring system maintenance monitoring analysis module is used for monitoring cameras and environment monitoring sensors in each tunnel subarea, acquiring running state information of each camera and each environment monitoring sensor, and comprehensively analyzing the monitoring system maintenance coefficients corresponding to each tunnel subarea;
the tunnel maintenance analysis module is used for analyzing the maintenance coefficients of the lighting system, the maintenance coefficients of the ventilation system and the maintenance coefficients of the monitoring system corresponding to each tunnel subarea to obtain a maintenance area set, wherein the maintenance area set comprises a lighting maintenance area, a ventilation maintenance area and a monitoring maintenance area;
and the tunnel maintenance processing module is used for carrying out corresponding display based on the maintenance area set.
As a further improvement of the invention, the lamps and lighting lines corresponding to each tunnel subarea are monitored in the following specific monitoring modes:
counting the number of lamps in each tunnel subarea, monitoring the brightness corresponding to each lamp in each tunnel subarea through a brightness sensor to obtain the brightness corresponding to each lamp in each tunnel subarea, and recording asi is denoted as the number of each tunnel sub-area, i=1, 2,..and n, j is denoted as the number of each luminaire, j=1, 2,..and m;
Based on the arrangement positions of the lighting system lines in each tunnel subarea, monitoring the line insulation layers thereof by an ultrasonic flaw detector to obtain the state of the corresponding line insulation layers of the lighting system lines in each tunnel subarea, and extracting the total damaged area, the total pit volume and the average thickness of the corresponding line insulation layers of the lighting system lines in each tunnel subarea, wherein the total damaged area, the total pit volume and the average thickness are respectively recorded asAnd->
As a further improvement of the invention, the analysis of the maintenance coefficients of the illumination system corresponding to each tunnel subarea comprises the following specific analysis processes:
screening lamps corresponding to the maximum brightness and lamps corresponding to the minimum brightness in each tunnel subarea from the brightness corresponding to each lamp in each tunnel subarea, and respectively marking asAnd->Meanwhile, the average value calculation is carried out on the brightness corresponding to each lamp in each tunnel subarea to obtain the average brightness corresponding to each tunnel subarea, which is marked as +.>Further comprehensively analyzing to obtain illumination state evaluation indexes corresponding to all tunnel subareas, and marking the illumination state evaluation indexes as phi i ；
Comprehensively analyzing the total damaged area, the total pit volume and the average thickness of the insulating layer of the corresponding line of the lighting system line in each tunnel subarea to obtain an insulating layer state evaluation index corresponding to each tunnel subarea, and marking the insulating layer state evaluation index as
For each of the tunnel subregionsComprehensively analyzing the brightness and service life corresponding to the lamps to obtain an illumination lamp evaluation index corresponding to each tunnel subarea, and marking the illumination lamp evaluation index as gamma i ；
According to the formulaCalculating the maintenance coefficient eta of the lighting system corresponding to each tunnel subarea i The maintenance coefficient c of the lighting system corresponding to the ith tunnel sub-area 1 、c 2 、c 3 Respectively expressed as coefficient factors corresponding to the set illumination state evaluation index, the insulation layer state evaluation index and the illumination lamp evaluation index.
As a further improvement of the invention, the environmental state monitoring and analyzing unit is used for monitoring and analyzing the environmental state corresponding to each tunnel subarea and the attachments on the surface of the collecting equipment, and the specific implementation process is as follows:
the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration corresponding to each tunnel subarea are respectively monitored by a carbon monoxide sensor, a carbon dioxide sensor, a laser dust instrument and a nitrogen oxide detector to obtain the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration corresponding to each tunnel subarea, which are respectively recorded as CO i 、PM i 、NO i And->
According to the formulaCalculating environment influence indexes corresponding to all tunnel subareas, < ->Denoted as the ith tunnel sub-region pairThe corresponding environmental impact index, e, is expressed as a natural constant, CO i′ 、/>PM i′ 、NO i′ 、/>Respectively expressed as a reference carbon monoxide concentration, a reference carbon dioxide concentration, a reference inhalable particulate concentration, a reference nitric oxide concentration, a reference nitrogen dioxide concentration, d corresponding to the set ith tunnel sub-region 1 、d 2 、d 3 、d 4 、d 5 Respectively expressed as the set influencing factors corresponding to the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration;
counting the number of acquisition devices existing in each tunnel subarea, detecting the components of the surface attachments of each acquisition device in each tunnel subarea by a component detector to obtain the component type number and the component type content corresponding to the surface attachments of each acquisition device in each tunnel subarea, accumulating the same component type content corresponding to the surface attachments of each acquisition device in each tunnel subarea to obtain the total component type number and the component type content corresponding to the surface attachments of the acquisition device in each tunnel subarea, and respectively recording the total component type number and the component type content as A i Andf is denoted as the number of each kind of ingredient, f=1, 2, &..;
according to the formulaCalculating the influence index of the attachment on the surface of the acquisition equipment corresponding to each tunnel subarea +.>The index of influence of the attachments on the surface of the acquisition equipment corresponding to the ith tunnel subarea is shown as A ', and A' is shown asTotal number of allowed component types, B' f Expressed as the reference content, d, corresponding to the set f-th category component 6 、d 7 Respectively expressed as the set total number of component types and the influence factors corresponding to the content of the component types;
according to the formulaCalculating the environmental state influence index, kappa corresponding to each tunnel subarea i The environmental state impact index corresponding to the ith tunnel sub-area and c 4 、c 5 Respectively representing the set environmental impact index and the weight factor corresponding to the surface attachment impact index of the acquisition equipment.
As a further improvement of the present invention, the ventilation equipment operation monitoring and analyzing unit is configured to monitor and analyze ventilation equipment corresponding to each tunnel sub-area, and specifically performs the following steps:
based on the line layout positions of the ventilation equipment in each tunnel subarea, the line insulation layer is monitored by an ultrasonic flaw detector to obtain the state of the corresponding line insulation layer of the ventilation equipment in each tunnel subarea, and the total damaged area, the total pit volume and the average thickness of the corresponding line insulation layer of the ventilation equipment in each tunnel subarea are extracted from the state, and are respectively recorded as Andfurther comprehensively analyzing the influence indexes of the ventilation equipment lines corresponding to the tunnel subareas, and marking the influence indexes as +.>
Counting the number of ventilation devices in each tunnel subarea, monitoring the wind speed corresponding to each ventilation device in each tunnel subarea through a wind speed sensor, obtaining the wind speed corresponding to each ventilation device in each tunnel subarea, and marking asp denotes the number of each ventilation device, p=1, 2.
Monitoring operation noise decibels corresponding to each ventilation equipment in each tunnel subarea through a noise sensor to obtain operation noise decibels corresponding to each ventilation equipment in each tunnel subarea, and marking as
According to the formulaCalculating the influence index of the working state of the ventilation equipment corresponding to each tunnel subarea, < >>The working state influence indexes of the ventilation equipment corresponding to the ith tunnel subarea are shown, F ', Z' are respectively shown as the set reference wind speed and the set reference operation noise decibel, and DeltaF and DeltaZ are respectively shown as the set reference wind speed difference and the set reference operation noise decibel difference, u 1 、u 2 The wind speed and the running noise decibel corresponding influence factors are respectively expressed as set wind speeds;
according to the formulaCalculating the operation influence index theta of the ventilation equipment corresponding to each tunnel subarea i A ventilation device operation influence index, c, expressed as the corresponding i-th tunnel sub-area 6 、c 7 And respectively representing the set ventilation equipment line influence indexes and the weight factors corresponding to the ventilation equipment working state influence indexes.
As a further improvement of the invention, the ventilation system maintenance analysis unit is used for calculating the ventilation system maintenance coefficient corresponding to each tunnel subarea, and the specific calculation formula is sigma i ＝κ i *τ 1 +θ i *τ 2 ，σ i Represented asVentilating system maintenance coefficient corresponding to ith tunnel subarea, tau 1 、τ 2 Respectively expressed as coefficient factors corresponding to the set environmental state influence indexes and the ventilation equipment operation influence indexes.
As a further improvement of the invention, the environment monitoring sensor comprises a carbon monoxide sensor, a carbon dioxide sensor, a laser dust meter, a nitrogen oxide detector and a wind speed sensor.
As a further improvement of the present invention, the operation state information of each camera includes image sharpness, frame rate, color reproducibility, and response speed, and the operation state information of each environmental monitoring sensor includes a battery remaining amount and a battery used time period.
As a further improvement of the invention, the maintenance coefficients of the monitoring system corresponding to each tunnel subarea are comprehensively analyzed, and the specific analysis process is as follows:
Respectively marking the image definition, the frame rate, the color rendition and the response speed corresponding to each camera in each tunnel subarea asAnd->h is the number of each camera, h=1, 2, & gt, and k, and further comprehensively analyzing to obtain a camera influence index corresponding to each tunnel subarea, and marking as +.>
The residual capacity and the time spent by the battery corresponding to each environmental sensor in each tunnel subarea are respectively recorded asAnd->r is denoted as the number of each environmental sensor, r=1, 2, once again, q, and further comprehensively analyzing to obtain each tunnel subregionThe environmental sensor impact index corresponding to the domain is denoted +.>
According to the formulaCalculating maintenance coefficients, xi, of the monitoring system corresponding to each tunnel subarea i The maintenance coefficient of the monitoring system corresponding to the ith tunnel subarea, tau 3 、τ 4 Respectively representing the set camera influence index and the weighting factors corresponding to the environmental sensor influence index.
As a further improvement of the invention, the lighting system maintenance coefficient, the ventilation system maintenance coefficient and the monitoring system maintenance coefficient corresponding to each tunnel subarea are analyzed, and the specific analysis process is as follows:
comparing the maintenance coefficient of the lighting system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the lighting system, and if the maintenance coefficient of the lighting system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the lighting system, marking the tunnel subarea as a lighting maintenance area;
Comparing the maintenance coefficient of the ventilation system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the ventilation system, and if the maintenance coefficient of the ventilation system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the ventilation system, marking the tunnel subarea as a ventilation maintenance area;
comparing the maintenance coefficient of the monitoring system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the monitoring system, and if the maintenance coefficient of the monitoring system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the monitoring system, marking the tunnel subarea as a monitoring maintenance area.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
1. according to the invention, the target tunnel is divided into a plurality of tunnel subareas, the illumination state evaluation index, the insulation layer state evaluation index and the illumination lamp evaluation index corresponding to each tunnel subarea are monitored and analyzed, and the illumination system maintenance coefficients corresponding to each tunnel subarea are comprehensively analyzed, so that the defect of weak monitoring strength of the current illumination system is overcome, powerful data support is provided for the monitoring and analysis results of the follow-up illumination system, the reliability of the monitoring and analysis results of the illumination system is greatly improved, the abnormal response efficiency of the illumination system is greatly improved, and the potential safety hazard of vehicle running in the tunnel is greatly reduced.
2. According to the invention, the environmental impact index, the surface attachment impact index, the ventilation equipment line impact index and the ventilation equipment working state impact index corresponding to each tunnel subarea are monitored and analyzed, so that the maintenance coefficient of the ventilation system corresponding to each tunnel subarea is comprehensively analyzed, on one hand, the limitation that the current manual cleaning and dust removal are carried out on the collection equipment of the tunnel is broken, the monitoring analysis automation and the intellectualization of the tunnel ventilation system are improved, the response efficiency of cleaning and maintaining the surface attachment of the collection equipment in the tunnel is improved to a great extent, and the operation accuracy of the collection equipment is further improved; on the other hand, timeliness of cleaning attachments on the surface of the collection equipment is guaranteed to a great extent, operation safety of the equipment is greatly improved, measurement precision and accuracy of the equipment are guaranteed to the greatest extent, and service cycle of the collection equipment in the tunnel is greatly prolonged.
3. According to the invention, the camera influence indexes and the environment sensor influence indexes corresponding to the tunnel subareas are monitored and analyzed, and the maintenance coefficients of the monitoring system corresponding to the tunnel subareas are comprehensively analyzed, so that subjectivity and uncertainty of checking and maintaining the monitoring system equipment at present by means of manual regular intervals are effectively avoided, the accuracy of monitoring the tunnel monitoring system is greatly improved, powerful data support is provided for subsequent tunnel maintenance analysis, and representativeness of analysis basis and rationality of analysis results are also greatly improved.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of the system module connection of the present invention.
FIG. 2 is a schematic diagram of the connection of the maintenance monitoring and analysis module of the ventilating system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis, which comprises a lighting system maintenance monitoring analysis module, a ventilation system maintenance monitoring analysis module, a monitoring system maintenance monitoring analysis module, a tunnel maintenance analysis module and a tunnel maintenance processing module.
The tunnel maintenance analysis module is respectively connected with the lighting system maintenance monitoring analysis module, the ventilation system maintenance monitoring analysis module, the monitoring system maintenance monitoring analysis module and the tunnel maintenance processing module.
The lighting system maintenance monitoring analysis module is used for dividing the target tunnel according to a preset dividing mode to obtain each tunnel subarea, acquiring the layout position of the lighting system circuit in each tunnel subarea, and simultaneously monitoring the lamps and the lighting circuit corresponding to each tunnel subarea, thereby analyzing the lighting system maintenance coefficient corresponding to each tunnel subarea.
As a further improvement of the invention, the lamps and lighting lines corresponding to each tunnel subarea are monitored in the following specific monitoring modes:
counting the number of lamps existing in each tunnel subarea and passing through brightnessThe sensor monitors the brightness corresponding to each lamp in each tunnel subarea to obtain the brightness corresponding to each lamp in each tunnel subarea, and the brightness is recorded asi is denoted as the number of each tunnel sub-area, i=1, 2,..and n, j is denoted as the number of each luminaire, j=1, 2,..and m;
based on the arrangement positions of the lighting system lines in each tunnel subarea, monitoring the line insulation layers thereof by an ultrasonic flaw detector to obtain the state of the corresponding line insulation layers of the lighting system lines in each tunnel subarea, and extracting the total damaged area, the total pit volume and the average thickness of the corresponding line insulation layers of the lighting system lines in each tunnel subarea, wherein the total damaged area, the total pit volume and the average thickness are respectively recorded as And->
As a further improvement of the invention, the analysis of the maintenance coefficients of the illumination system corresponding to each tunnel subarea comprises the following specific analysis processes:
screening lamps corresponding to the maximum brightness and lamps corresponding to the minimum brightness in each tunnel subarea from the brightness corresponding to each lamp in each tunnel subarea, and respectively marking asAnd->Meanwhile, the average value calculation is carried out on the brightness corresponding to each lamp in each tunnel subarea to obtain the average brightness corresponding to each tunnel subarea, which is marked as +.>Further comprehensively analyzing to obtain illumination state evaluation indexes corresponding to all tunnel subareas, and marking the illumination state evaluation indexes as phi i ；
It should be noted that, according to the formulaCalculating the illumination state evaluation index corresponding to each tunnel subarea, D' i The reference average brightness corresponding to the ith tunnel sub-area is shown as set, and the delta D is shown as the allowable brightness difference corresponding to the set target tunnel, a 1 、a 2 Respectively expressed as compensation factors corresponding to the set maximum brightness and minimum brightness, b 1 、b 2 Respectively expressed as the set weight factors corresponding to the illumination uniformity and the average brightness.
Comprehensively analyzing the total damaged area, the total pit volume and the average thickness of the insulating layer of the corresponding line of the lighting system line in each tunnel subarea to obtain an insulating layer state evaluation index corresponding to each tunnel subarea, and marking the insulating layer state evaluation index as
It should be noted that, according to the formulaCalculating the insulating layer state evaluation index corresponding to each tunnel subarea, S' Illumination device 、V′ Illumination device 、H′ Illumination device Respectively expressed as the allowable breakage area, allowable pit volume and reference average thickness of the insulation layer corresponding to the set lighting system circuit, a 3 、a 4 、a 5 Respectively expressed as weight factors of the set lighting system circuit corresponding to the damaged area, pit volume and thickness of the insulating layer.
Comprehensively analyzing the brightness and service life of each lamp in each tunnel subarea to obtain an illumination lamp evaluation index corresponding to each tunnel subarea, and marking the illumination lamp evaluation index as gamma i ；
It should be noted that, according to the formulaCalculating the evaluation index of the lighting lamp corresponding to each tunnel subarea, wherein D' representsFor the reference brightness corresponding to the set luminaire Δd' is expressed as the allowed brightness difference corresponding to the set luminaire,/->The service life of the j lamp in the set ith tunnel subarea is represented as the service life of the j lamp, and N' is represented as the allowable service life of the set lamp, a 6 、a 7 The set lamp brightness and the set lamp service life corresponding influence factors are respectively expressed.
According to the formulaCalculating the maintenance coefficient eta of the lighting system corresponding to each tunnel subarea i The maintenance coefficient c of the lighting system corresponding to the ith tunnel sub-area 1 、c 2 、c 3 Respectively expressed as coefficient factors corresponding to the set illumination state evaluation index, the insulation layer state evaluation index and the illumination lamp evaluation index.
According to the invention, the target tunnel is divided into a plurality of tunnel subareas, the illumination state evaluation index, the insulation state evaluation index and the illumination lamp evaluation index corresponding to each tunnel subarea are monitored and analyzed, and the illumination system maintenance coefficients corresponding to each tunnel subarea are obtained through comprehensive analysis, so that the defect of weak monitoring strength of the current illumination system is overcome, a powerful data support is provided for the monitoring and analysis result of the subsequent illumination system, the reliability of the monitoring and analysis result of the illumination system is greatly improved, the abnormal response efficiency of the illumination system is greatly improved, and the potential safety hazard of vehicle running in the tunnel is greatly reduced.
Referring to fig. 2, a ventilation system maintenance monitoring and analysis module is configured to obtain a layout position of a ventilation device line in each tunnel sub-area, and monitor an environmental state corresponding to each tunnel sub-area, an attachment on a surface of a collection device, and an operation state of the ventilation device, so as to comprehensively analyze a ventilation system maintenance coefficient corresponding to each tunnel sub-area, where the ventilation system maintenance monitoring and analysis module includes an environmental state monitoring and analysis unit, a ventilation device operation monitoring and analysis unit, and a ventilation system maintenance and analysis unit.
The collection device includes, but is not limited to, a carbon monoxide sensor, a carbon dioxide sensor, a laser dust meter, a nitrogen oxide detector, a wind speed sensor, a camera, and other parameter collection devices arranged inside the tunnel.
As a further improvement of the invention, the environmental state monitoring and analyzing unit is used for monitoring and analyzing the environmental state corresponding to each tunnel subarea and the attachments on the surface of the collecting equipment, and the specific implementation process is as follows:
the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration corresponding to each tunnel subarea are respectively monitored by a carbon monoxide sensor, a carbon dioxide sensor, a laser dust instrument and a nitrogen oxide detector to obtain the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration corresponding to each tunnel subarea, which are respectively recorded as CO i 、PM i 、NO i And->
According to the formulaCalculating environment influence indexes corresponding to all tunnel subareas, < ->Expressed as the environmental impact index corresponding to the ith tunnel sub-region, e is expressed as a natural constant, CO i′ 、/>PM i′ 、NO i′ 、/>Respectively expressed as a reference carbon monoxide concentration, a reference carbon dioxide concentration, a reference inhalable particulate concentration, a reference nitric oxide concentration, a reference nitrogen dioxide concentration, d corresponding to the set ith tunnel sub-region 1 、d 2 、d 3 、d 4 、d 5 Respectively expressed as the set influencing factors corresponding to the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration;
counting the number of acquisition devices existing in each tunnel subarea, detecting the components of the surface attachments of each acquisition device in each tunnel subarea by a component detector to obtain the component type number and the component type content corresponding to the surface attachments of each acquisition device in each tunnel subarea, accumulating the same component type content corresponding to the surface attachments of each acquisition device in each tunnel subarea to obtain the total component type number and the component type content corresponding to the surface attachments of the acquisition device in each tunnel subarea, and respectively recording the total component type number and the component type content as A i Andf is denoted as the number of each kind of ingredient, f=1, 2, &..;
according to the formulaCalculating the influence index of the attachment on the surface of the acquisition equipment corresponding to each tunnel subarea +.>The index of influence of the attachments on the surface of the acquisition equipment corresponding to the ith tunnel subarea is represented as A 'which is the total number of the set allowable component types and B' f Expressed as the reference content, d, corresponding to the set f-th category component 6 、d 7 Respectively expressed as the set total number of component types and the influence factors corresponding to the content of the component types;
According to the formulaCalculating the environmental state influence index, kappa corresponding to each tunnel subarea i The environmental state impact index corresponding to the ith tunnel sub-area and c 4 、c 5 Respectively representing the set environmental impact index and the weight factor corresponding to the surface attachment impact index of the acquisition equipment.
As a further improvement of the present invention, the ventilation equipment operation monitoring and analyzing unit is configured to monitor and analyze ventilation equipment corresponding to each tunnel sub-area, and specifically performs the following steps:
based on the line layout positions of the ventilation equipment in each tunnel subarea, the line insulation layer is monitored by an ultrasonic flaw detector to obtain the state of the corresponding line insulation layer of the ventilation equipment in each tunnel subarea, and the total damaged area, the total pit volume and the average thickness of the corresponding line insulation layer of the ventilation equipment in each tunnel subarea are extracted from the state, and are respectively recorded asAndfurther comprehensively analyzing the influence indexes of the ventilation equipment lines corresponding to the tunnel subareas, and marking the influence indexes as +.>
It should be noted that, according to the formulaCalculating the influence index S 'of the ventilation equipment line corresponding to each tunnel subarea' Wind power 、V′ Wind power 、H′ Wind power Respectively expressed as the allowable breakage area, allowable pit volume and reference average thickness of the insulation layer corresponding to the set lighting system circuit, b 3 、b 4 、b 5 Respectively expressed as the damage area of the insulation layer, the pit volume, the air ventilation equipment circuit,A weight factor of thickness;
counting the number of ventilation devices in each tunnel subarea, monitoring the wind speed corresponding to each ventilation device in each tunnel subarea through a wind speed sensor, obtaining the wind speed corresponding to each ventilation device in each tunnel subarea, and marking asp denotes the number of each ventilation device, p=1, 2.
Monitoring operation noise decibels corresponding to each ventilation equipment in each tunnel subarea through a noise sensor to obtain operation noise decibels corresponding to each ventilation equipment in each tunnel subarea, and marking as
According to the formulaCalculating the influence index of the working state of the ventilation equipment corresponding to each tunnel subarea, < >>The working state influence indexes of the ventilation equipment corresponding to the ith tunnel subarea are shown, F ', Z' are respectively shown as the set reference wind speed and the set reference operation noise decibel, and DeltaF and DeltaZ are respectively shown as the set reference wind speed difference and the set reference operation noise decibel difference, u 1 、u 2 The wind speed and the running noise decibel corresponding influence factors are respectively expressed as set wind speeds;
according to the formulaCalculating the operation influence index theta of the ventilation equipment corresponding to each tunnel subarea i A ventilation device operation influence index, c, expressed as the corresponding i-th tunnel sub-area 6 、c 7 And respectively representing the set ventilation equipment line influence indexes and the weight factors corresponding to the ventilation equipment working state influence indexes.
As a further improvement of the invention, the ventilation system maintenance analysis unit is used for calculating the ventilation system maintenance coefficient corresponding to each tunnel subarea, and the specific calculation formula is sigma i ＝κ i *τ 1 +θ i *τ 2 ，σ i Ventilating system maintenance coefficient, tau, expressed as the i-th tunnel sub-area correspondence 1 、τ 2 Respectively expressed as coefficient factors corresponding to the set environmental state influence indexes and the ventilation equipment operation influence indexes.
As a preferred scheme, the system monitors and analyzes the environmental impact index corresponding to each tunnel subarea, the surface attachment impact index of the acquisition equipment, the line impact index of the ventilation equipment and the working state impact index of the ventilation equipment, so as to comprehensively analyze the maintenance coefficient of the ventilation system corresponding to each tunnel subarea, and on one hand, the limitation of periodically cleaning and dedusting the acquisition equipment of the tunnel by adopting manpower at present is broken, the monitoring analysis automation and the intellectualization of the tunnel ventilation system are improved, the response efficiency of cleaning and maintaining the surface attachment of the acquisition equipment in the tunnel is improved to a great extent, and the operation accuracy of the acquisition equipment is further improved; on the other hand, timeliness of cleaning attachments on the surface of the collection equipment is guaranteed to a great extent, operation safety of the equipment is greatly improved, measurement precision and accuracy of the equipment are guaranteed to the greatest extent, and service cycle of the collection equipment in the tunnel is greatly prolonged.
The monitoring system maintenance monitoring analysis module is used for monitoring cameras and environment monitoring sensors in each tunnel subarea, acquiring running state information of each camera and each environment monitoring sensor, and comprehensively analyzing the monitoring system maintenance coefficients corresponding to each tunnel subarea.
As a further improvement of the invention, the environment monitoring sensor comprises a carbon monoxide sensor, a carbon dioxide sensor, a laser dust meter, a nitrogen oxide detector and a wind speed sensor.
As a further improvement of the present invention, the operation state information of each camera includes image sharpness, frame rate, color reproducibility, and response speed, and the operation state information of each environmental monitoring sensor includes a battery remaining amount and a battery used time period.
As a further improvement of the invention, the maintenance coefficients of the monitoring system corresponding to each tunnel subarea are comprehensively analyzed, and the specific analysis process is as follows:
respectively marking the image definition, the frame rate, the color rendition and the response speed corresponding to each camera in each tunnel subarea asAnd->h is the number of each camera, h=1, 2, & gt, and k, and further comprehensively analyzing to obtain a camera influence index corresponding to each tunnel subarea, and marking as +. >
It should be noted that, according to the formulaCalculating camera influence indexes corresponding to each tunnel subarea, wherein T ', L', Y ', G' are respectively expressed as set reference image definition, reference frame rate, reference color rendition and reference response speed, and DeltaT, deltaL, deltaY and DeltaG are respectively expressed as set allowable image definition difference, allowable frame rate difference, allowable color rendition difference, allowable response speed difference and beta 1 、β 2 、β 3 、β 4 Respectively expressed as the set influence factors corresponding to the image definition, the frame rate, the color rendition and the response speed.
The residual capacity and the time spent by the battery corresponding to each environmental sensor in each tunnel subarea are respectively recorded asAnd->r is the number of each environmental sensor, r=1, 2, and q, and further comprehensively analyzing to obtain environmental sensor influence indexes corresponding to each tunnel subarea, and recording the environmental sensor influence indexes as +.>
It should be noted that, according to the formulaCalculating the influence indexes of the environmental sensors corresponding to the tunnel subareas, wherein I 'and J' are respectively expressed as the set residual electric quantity of the reference battery and the used time length of the reference battery, and beta 5 、β 6 Respectively expressed as the set remaining battery power and the corresponding influencing factors of the battery used time.
According to the formulaCalculating maintenance coefficients, xi, of the monitoring system corresponding to each tunnel subarea i The maintenance coefficient of the monitoring system corresponding to the ith tunnel subarea, tau 3 、τ 4 Respectively representing the set camera influence index and the weighting factors corresponding to the environmental sensor influence index.
As a preferred scheme, the monitoring system maintenance coefficient corresponding to each tunnel subarea is obtained through monitoring and analyzing the camera influence index and the environment sensor influence index corresponding to each tunnel subarea and comprehensively analyzing, so that subjectivity and uncertainty of checking and maintaining the monitoring system equipment at present by means of manual regular are effectively avoided, the monitoring accuracy of the tunnel monitoring system is greatly improved, powerful data support is provided for subsequent tunnel maintenance analysis, and representativeness of analysis basis and rationality of analysis results are also greatly improved.
The tunnel maintenance analysis module is used for analyzing the maintenance coefficients of the lighting system, the ventilation system and the monitoring system corresponding to each tunnel subarea to obtain a maintenance area set, wherein the maintenance area set comprises a lighting maintenance area, a ventilation maintenance area and a monitoring maintenance area.
As a further improvement of the invention, the lighting system maintenance coefficient, the ventilation system maintenance coefficient and the monitoring system maintenance coefficient corresponding to each tunnel subarea are analyzed, and the specific analysis process is as follows:
Comparing the maintenance coefficient of the lighting system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the lighting system, and if the maintenance coefficient of the lighting system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the lighting system, marking the tunnel subarea as a lighting maintenance area;
comparing the maintenance coefficient of the ventilation system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the ventilation system, and if the maintenance coefficient of the ventilation system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the ventilation system, marking the tunnel subarea as a ventilation maintenance area;
comparing the maintenance coefficient of the monitoring system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the monitoring system, and if the maintenance coefficient of the monitoring system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the monitoring system, marking the tunnel subarea as a monitoring maintenance area.
And the tunnel maintenance processing module is used for carrying out corresponding display based on the maintenance area set.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. Tunnel maintenance intelligent monitoring platform based on sensor collection analysis, its characterized in that includes:
the lighting system maintenance monitoring analysis module is used for dividing a target tunnel according to a preset dividing mode to obtain each tunnel subarea, acquiring the layout position of the lighting system circuit in each tunnel subarea, and simultaneously monitoring the lamps and the lighting circuit corresponding to each tunnel subarea, so as to analyze the lighting system maintenance coefficient corresponding to each tunnel subarea;
the ventilation system maintenance monitoring analysis module is used for acquiring the layout positions of the ventilation equipment lines in each tunnel subarea, monitoring the environment state corresponding to each tunnel subarea, collecting attachments on the surface of equipment and the running state of the ventilation equipment, and comprehensively analyzing the ventilation system maintenance coefficients corresponding to each tunnel subarea, wherein the ventilation system maintenance monitoring analysis module comprises an environment state monitoring analysis unit, a ventilation equipment running monitoring analysis unit and a ventilation system maintenance analysis unit;
the monitoring system maintenance monitoring analysis module is used for monitoring cameras and environment monitoring sensors in each tunnel subarea, acquiring running state information of each camera and each environment monitoring sensor, and comprehensively analyzing the monitoring system maintenance coefficients corresponding to each tunnel subarea;
The tunnel maintenance analysis module is used for analyzing the maintenance coefficients of the lighting system, the maintenance coefficients of the ventilation system and the maintenance coefficients of the monitoring system corresponding to each tunnel subarea to obtain a maintenance area set, wherein the maintenance area set comprises a lighting maintenance area, a ventilation maintenance area and a monitoring maintenance area;
and the tunnel maintenance processing module is used for carrying out corresponding display based on the maintenance area set.
2. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 1, wherein: the lamp and the lighting circuit corresponding to each tunnel subarea are monitored, and the specific monitoring mode is as follows:
counting the number of lamps in each tunnel subarea, monitoring the brightness corresponding to each lamp in each tunnel subarea through a brightness sensor to obtain the brightness corresponding to each lamp in each tunnel subarea, and recording asi is denoted as the number of each tunnel sub-area, i=1, 2,..and n, j is denoted as the number of each luminaire, j=1, 2,..and m;
based on the arrangement positions of the lighting system lines in each tunnel subarea, monitoring the line insulation layers thereof by an ultrasonic flaw detector to obtain the state of the corresponding line insulation layers of the lighting system lines in each tunnel subarea, and extracting the total damaged area, the total pit volume and the average thickness of the corresponding line insulation layers of the lighting system lines in each tunnel subarea, wherein the total damaged area, the total pit volume and the average thickness are respectively recorded as And->
3. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 2, wherein: the specific analysis process of analyzing the maintenance coefficients of the lighting system corresponding to each tunnel subarea is as follows:
screening lamps corresponding to the maximum brightness and lamps corresponding to the minimum brightness in each tunnel subarea from the brightness corresponding to each lamp in each tunnel subarea, and respectively marking asAnd->Meanwhile, the average value calculation is carried out on the brightness corresponding to each lamp in each tunnel subarea to obtain the average brightness corresponding to each tunnel subarea, which is marked as +.>Further comprehensively analyzing to obtain illumination state evaluation indexes corresponding to all tunnel subareas, and marking the illumination state evaluation indexes as phi i ；
Comprehensively analyzing the total damaged area, the total pit volume and the average thickness of the insulating layer of the corresponding line of the lighting system line in each tunnel subarea to obtain an insulating layer state evaluation index corresponding to each tunnel subarea, and marking the insulating layer state evaluation index as
Comprehensively analyzing the brightness and service life of each lamp in each tunnel subarea to obtain an illumination lamp evaluation index corresponding to each tunnel subarea, and marking the illumination lamp evaluation index as gamma i ；
According to the formulaCalculating the maintenance coefficient eta of the lighting system corresponding to each tunnel subarea i The maintenance coefficient c of the lighting system corresponding to the ith tunnel sub-area 1 、c 2 、c 3 Respectively expressed as coefficient factors corresponding to the set illumination state evaluation index, the insulation layer state evaluation index and the illumination lamp evaluation index.
4. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 1, wherein: the environment state monitoring and analyzing unit is used for monitoring and analyzing the environment state corresponding to each tunnel subarea and the attachments on the surface of the acquisition equipment, and the specific implementation process is as follows:
the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration corresponding to each tunnel subarea are respectively monitored by a carbon monoxide sensor, a carbon dioxide sensor, a laser dust instrument and a nitrogen oxide detector to obtain the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration corresponding to each tunnel subarea, which are respectively recorded as CO i 、PM i 、NO i And->
According to the formulaCalculating environment influence indexes corresponding to all tunnel subareas, < ->Expressed as the environmental impact index corresponding to the ith tunnel sub-region, e is expressed as a natural constant, CO i′ 、PM i′ 、NO i′ 、/>Respectively expressed as a reference carbon monoxide concentration, a reference carbon dioxide concentration, a reference inhalable particulate concentration, a reference nitric oxide concentration, a reference nitrogen dioxide concentration, d corresponding to the set ith tunnel sub-region 1 、d 2 、d 3 、d 4 、d 5 Respectively expressed as the set influencing factors corresponding to the carbon monoxide concentration, the carbon dioxide concentration, the inhalable particulate matter concentration, the nitric oxide concentration and the nitrogen dioxide concentration;
counting the number of acquisition devices existing in each tunnel subarea, detecting the components of the surface attachments of each acquisition device in each tunnel subarea by a component detector to obtain the component type number and the component type content corresponding to the surface attachments of each acquisition device in each tunnel subarea, accumulating the same component type content corresponding to the surface attachments of each acquisition device in each tunnel subarea to obtain the total component type number and the component type content corresponding to the surface attachments of the acquisition device in each tunnel subarea, and respectively recording the total component type number and the component type content as A i Andf is denoted as the number of each kind of ingredient, f=1, 2, &..;
according to the formulaCalculating the influence index of the attachment on the surface of the acquisition equipment corresponding to each tunnel subarea +.>The index of influence of the attachments on the surface of the acquisition equipment corresponding to the ith tunnel subarea is represented as A 'which is the total number of the set allowable component types and B' f Expressed as the reference content, d, corresponding to the set f-th category component 6 、d 7 Respectively expressed as the set total number of component types and the influence factors corresponding to the content of the component types;
according to the formulaCalculating the environmental state influence index, kappa corresponding to each tunnel subarea i The environmental state impact index corresponding to the ith tunnel sub-area and c 4 、c 5 Respectively representing the set environmental impact index and the weight factor corresponding to the surface attachment impact index of the acquisition equipment.
5. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 4, wherein: the ventilation equipment operation monitoring and analyzing unit is used for monitoring and analyzing the ventilation equipment corresponding to each tunnel subarea, and the specific implementation process is as follows:
based on the line layout positions of the ventilation equipment in each tunnel subarea, the line insulation layer is monitored by an ultrasonic flaw detector to obtain the state of the line insulation layer corresponding to the ventilation equipment in each tunnel subarea, and the total damaged area and the total concave of the line insulation layer corresponding to the ventilation equipment in each tunnel subarea are extracted from the statePit volume and average thickness, respectively, are noted asAnd->Further comprehensively analyzing the influence indexes of the ventilation equipment lines corresponding to the tunnel subareas, and marking the influence indexes as +. >
Counting the number of ventilation devices in each tunnel subarea, monitoring the wind speed corresponding to each ventilation device in each tunnel subarea through a wind speed sensor, obtaining the wind speed corresponding to each ventilation device in each tunnel subarea, and marking asp denotes the number of each ventilation device, p=1, 2.
Monitoring operation noise decibels corresponding to each ventilation equipment in each tunnel subarea through a noise sensor to obtain operation noise decibels corresponding to each ventilation equipment in each tunnel subarea, and marking as
According to the formulaCalculating the influence index of the working state of the ventilation equipment corresponding to each tunnel subarea, < >>The working state influence indexes of the ventilation equipment corresponding to the ith tunnel subarea are shown, F ', Z' are respectively shown as the set reference wind speed and the set reference operation noise decibel corresponding to the ventilation equipment, and DeltaF and DeltaZ are respectively shown as the set reference wind speed difference and the set reference operation noise decibel difference，u 1 、u 2 The wind speed and the running noise decibel corresponding influence factors are respectively expressed as set wind speeds;
according to the formulaCalculating the operation influence index theta of the ventilation equipment corresponding to each tunnel subarea i A ventilation device operation influence index, c, expressed as the corresponding i-th tunnel sub-area 6 、c 7 And respectively representing the set ventilation equipment line influence indexes and the weight factors corresponding to the ventilation equipment working state influence indexes.
6. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 5, wherein: the ventilation system maintenance analysis unit is used for calculating the ventilation system maintenance coefficient corresponding to each tunnel subarea, and the specific calculation formula is sigma i ＝κ i *τ 1 +θ i *τ 2 ，σ i Ventilating system maintenance coefficient, tau, expressed as the i-th tunnel sub-area correspondence 1 、τ 2 Respectively expressed as coefficient factors corresponding to the set environmental state influence indexes and the ventilation equipment operation influence indexes.
7. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 1, wherein: the environment monitoring sensor comprises a carbon monoxide sensor, a carbon dioxide sensor, a laser dust meter, a nitrogen oxide detector and an air speed sensor.
8. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 1, wherein: the running state information of each camera comprises image definition, frame rate, color rendition and response speed, and the running state information of each environment monitoring sensor comprises the residual electric quantity of the battery and the used time of the battery.
9. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 1, wherein: the maintenance coefficients of the monitoring system corresponding to each tunnel subarea are comprehensively analyzed, and the specific analysis process is as follows:
respectively marking the image definition, the frame rate, the color rendition and the response speed corresponding to each camera in each tunnel subarea asAnd->h is the number of each camera, h=1, 2, & gt, and k, and further comprehensively analyzing to obtain a camera influence index corresponding to each tunnel subarea, and marking as +.>
The residual capacity and the time spent by the battery corresponding to each environmental sensor in each tunnel subarea are respectively recorded asAndr is the number of each environmental sensor, r=1, 2, and q, and further comprehensively analyzing to obtain environmental sensor influence indexes corresponding to each tunnel subarea, and recording the environmental sensor influence indexes as +.>
According to the formulaCalculating maintenance coefficients, xi, of the monitoring system corresponding to each tunnel subarea i The maintenance coefficient of the monitoring system corresponding to the ith tunnel subarea, tau 3 、τ 4 Respectively representing the set camera influence index and the weighting factors corresponding to the environmental sensor influence index.
10. The intelligent monitoring platform for tunnel maintenance based on sensor acquisition and analysis according to claim 1, wherein: the lighting system maintenance coefficient, the ventilation system maintenance coefficient and the monitoring system maintenance coefficient corresponding to each tunnel subarea are analyzed, and the specific analysis process is as follows:
Comparing the maintenance coefficient of the lighting system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the lighting system, and if the maintenance coefficient of the lighting system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the lighting system, marking the tunnel subarea as a lighting maintenance area;
comparing the maintenance coefficient of the ventilation system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the ventilation system, and if the maintenance coefficient of the ventilation system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the ventilation system, marking the tunnel subarea as a ventilation maintenance area;
comparing the maintenance coefficient of the monitoring system corresponding to each tunnel subarea with a set maintenance coefficient threshold value of the monitoring system, and if the maintenance coefficient of the monitoring system corresponding to a certain tunnel subarea is larger than the maintenance coefficient threshold value of the monitoring system, marking the tunnel subarea as a monitoring maintenance area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211024928.4A CN115288798B (en) | 2022-08-25 | 2022-08-25 | Tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211024928.4A CN115288798B (en) | 2022-08-25 | 2022-08-25 | Tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115288798A CN115288798A (en) | 2022-11-04 |
| CN115288798B true CN115288798B (en) | 2023-10-27 |
Family
ID=83832476
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211024928.4A Active CN115288798B (en) | 2022-08-25 | 2022-08-25 | Tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115288798B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116046435B (en) * | 2023-03-01 | 2023-06-02 | 武汉鸿康科技有限公司 | Industrial dust removal unit on-line monitoring system based on Internet of things |
| CN116402305B (en) * | 2023-04-14 | 2023-10-10 | 中铁四局集团有限公司 | Tunnel construction progress dispatching command integrated management system |
| CN116306031B (en) * | 2023-05-17 | 2023-08-04 | 安徽数智建造研究院有限公司 | Tunnel mainframe monitoring and analyzing method based on automatic acquisition of big data |
| CN117055459B (en) * | 2023-09-11 | 2024-03-19 | 辽宁艾特斯智能交通技术有限公司 | Tunnel area equipment control system based on PLC |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001303883A (en) * | 2000-04-20 | 2001-10-31 | Aisawa Construction Co Ltd | Excavation method using earth retaining structure composed of ring beam, inverted lining wall and rock bolt |
| CN106766689A (en) * | 2017-01-18 | 2017-05-31 | 江苏麦克威微波技术有限公司 | A kind of microwave material drying device |
| CN107942859A (en) * | 2017-11-24 | 2018-04-20 | 浙大网新系统工程有限公司 | The intelligent measurement and complex control system of a kind of traffic tunnel |
| CN109637733A (en) * | 2018-12-05 | 2019-04-16 | 安徽华能电缆集团有限公司 | A kind of high voltage flame resistant cable and preparation method thereof |
| CN111485922A (en) * | 2020-05-13 | 2020-08-04 | 陕西上坤蓝箭科技有限公司 | E L F railway tunnel water leakage, block falling and grout turnover disease treatment method |
| CN111721209A (en) * | 2020-06-19 | 2020-09-29 | 张玉红 | Road tunnel engineering safety real-time monitoring management system based on big data |
| CN111901013A (en) * | 2020-08-21 | 2020-11-06 | 中铁第四勘察设计院集团有限公司 | Tunnel electromechanical equipment monitoring system and method for high-speed magnetic suspension railway |
| CN213899056U (en) * | 2020-12-14 | 2021-08-06 | 广州广明高速公路有限公司 | Sinking type highway tunnel operation risk dynamic evaluation system |
| CN113298400A (en) * | 2021-06-01 | 2021-08-24 | 江西锦路科技开发有限公司 | Based onWebGLIntelligent monitoring system for highway tunnel |
| CN114115090A (en) * | 2021-11-25 | 2022-03-01 | 重庆电子工程职业学院 | Intelligent tunnel management system and method |
-
2022
- 2022-08-25 CN CN202211024928.4A patent/CN115288798B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001303883A (en) * | 2000-04-20 | 2001-10-31 | Aisawa Construction Co Ltd | Excavation method using earth retaining structure composed of ring beam, inverted lining wall and rock bolt |
| CN106766689A (en) * | 2017-01-18 | 2017-05-31 | 江苏麦克威微波技术有限公司 | A kind of microwave material drying device |
| CN107942859A (en) * | 2017-11-24 | 2018-04-20 | 浙大网新系统工程有限公司 | The intelligent measurement and complex control system of a kind of traffic tunnel |
| CN109637733A (en) * | 2018-12-05 | 2019-04-16 | 安徽华能电缆集团有限公司 | A kind of high voltage flame resistant cable and preparation method thereof |
| CN111485922A (en) * | 2020-05-13 | 2020-08-04 | 陕西上坤蓝箭科技有限公司 | E L F railway tunnel water leakage, block falling and grout turnover disease treatment method |
| CN111721209A (en) * | 2020-06-19 | 2020-09-29 | 张玉红 | Road tunnel engineering safety real-time monitoring management system based on big data |
| CN111901013A (en) * | 2020-08-21 | 2020-11-06 | 中铁第四勘察设计院集团有限公司 | Tunnel electromechanical equipment monitoring system and method for high-speed magnetic suspension railway |
| CN213899056U (en) * | 2020-12-14 | 2021-08-06 | 广州广明高速公路有限公司 | Sinking type highway tunnel operation risk dynamic evaluation system |
| CN113298400A (en) * | 2021-06-01 | 2021-08-24 | 江西锦路科技开发有限公司 | Based onWebGLIntelligent monitoring system for highway tunnel |
| CN114115090A (en) * | 2021-11-25 | 2022-03-01 | 重庆电子工程职业学院 | Intelligent tunnel management system and method |
Non-Patent Citations (1)
| Title |
|---|
| 城市轨道交通行车安全保障信息系统的研究;崔艳萍等;《中国安全科学学报》;20040530(第05期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115288798A (en) | 2022-11-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115288798B (en) | Tunnel maintenance intelligent monitoring platform based on sensor acquisition and analysis | |
| US11726072B2 (en) | Method of mobile monitoring and determining requisite number of mobile monitoring vehicles | |
| GB2580217A (en) | Method of determining false negative rate of mobile monitoring and requisite number of mobile monitoring vehicles | |
| CN111486893A (en) | Bridge structure health monitoring and early warning system and early warning method | |
| WO2021085740A1 (en) | Real-time atmospheric diffusion monitoring system | |
| CN116627079B (en) | Operation monitoring management system for laboratory ventilation equipment | |
| CN115201218A (en) | Vehicle-mounted pavement disease intelligent detection method and system | |
| CN116388383A (en) | Electric power IT equipment monitored control system based on intelligence fortune dimension | |
| WO2017107790A1 (en) | Method and apparatus for predicting road conditions using big data | |
| CN112268582B (en) | Dust collecting equipment intelligent monitoring analysis management system based on big data | |
| CN116562712B (en) | System and method for predicting air quality | |
| CN111767913A (en) | Motor train unit vehicle fault dynamic image detection method based on deep learning | |
| CN112627023A (en) | Intelligent bridge detection method and system and intelligent bridge detection robot | |
| KR102382836B1 (en) | Integral type cctv camera system for fine dust measuring apparatus with light scattering type | |
| CN113607617A (en) | Device for rapidly detecting road raise dust emission factor | |
| CN109145732B (en) | Black smoke vehicle detection method based on Gabor projection | |
| CN116386156B (en) | ETC terminal fault processing method for high-speed toll station | |
| CN220895024U (en) | Portable image recognition traffic flow counting device | |
| CN115083195A (en) | Intelligent monitoring and analyzing system for intelligent traffic facility faults based on digitization | |
| CN201653863U (en) | Blackness detecting device and blackness detecting analytic system | |
| CN114509373B (en) | Automobile exhaust particulate matter detection method | |
| CN116151869B (en) | Power transmission and transformation differential operation and maintenance cost analysis system | |
| CN117764357A (en) | Intelligent robot and monitoring combined operation and maintenance intelligent inspection method | |
| CN216285178U (en) | Detection apparatus for motor vehicle exhaust | |
| CN116778192B (en) | Fire safety early warning system based on air-ground equipment cooperation |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20231122 Address after: No. 60, Group 17, Laowei Village, Liji Township, Guannan County, Lianyungang, Jiangsu Province, 223500 Patentee after: Song Dangjian Address before: 430800 No. 1284, Heping Avenue, Qingshan District, Wuhan City, Hubei Province Patentee before: Baoyin Xinke information technology (Hubei) Co.,Ltd. |
|
| TR01 | Transfer of patent right |