CN110363676A - Railway transportation coal dust suppression intellectual monitoring analysis method based on big data - Google Patents
Railway transportation coal dust suppression intellectual monitoring analysis method based on big data Download PDFInfo
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Abstract
The present invention relates to Coal Transport monitoring technical fields, more particularly, to a kind of railway transportation coal dust suppression intellectual monitoring analysis method based on big data.Include the following steps: to carry out multiple spot monitoring to the region that Coal Transport train passes through；Each monitoring point is monitored by Coal Transport train of the railway transportation coal dust suppression intellectual monitoring analysis system to process；It is compared by the data that equipment to each monitoring point generates, show that coal respectively saves the situation of change of compartment coal in railway transport course, drop situation by what the comparison of each section photo compartment of point cloud data three-dimensional imaging and candid photograph obtained each compartment coal.
Description
Technical field
The present invention relates to Coal Transport monitoring technical fields, more particularly, to a kind of railway transportation coal based on big data
Dust suppression intellectual monitoring analysis method.
Background technique
Currently, image recognition technology has been applied in many-sided field such as security, traffic monitoring, it is relatively mature.And
Railway Coal transportational process, which is dropped, to be always existed, although having taken up surface curing agent measure, can not prevent to drop completely
Problem, and dropping not is that steady-state process randomness is strong, is influenced vulnerable to many factors such as extraneous wind pressure, topography and geomorphology, meetings.
Catching transporting coal carriage top face is to drop this feature of source, utilizes the image difference of image recognition technology comparison different location, knot
Close speed, information of vehicles, changed by moment air quality and the factors such as meteorology, be dissolved into big data finally obtain it is same
The relationship of compartment coal surface status variation rate and each factor, judge different trains drops degree, finds out something lost by sequence
Spread problem source.
The information disclosed in the background technology section is intended only to deepen understanding of the general background technology to the present invention, and
It is not construed as recognizing or implying in any form that the information constitutes the prior art known to those skilled in the art.
Summary of the invention
The railway transportation coal dust suppression intellectual monitoring analysis method based on big data that the purpose of the present invention is to provide a kind of,
Diversity and microcosmic coal dust diffusion motion to solve train during transporting coal, due to Macro-external environment
Complexity so that in the transportational process of way coal reveal comprehensive assessment have certain challenge.Therefore, only single pair
Gas composition analysis in local environment is difficult to realize the positioning to leakage vehicle and the measurement of coal fugitive dust concentration.This system is quasi-
From two visual angles of train coal capcity and dust concentration, it is based on Monitoring by Lidar equipment, radar velocity measurement equipment, video monitoring
Equipment, Train number recognition equipment, air quality surveillance equipment, the data source of weather monitoring device, by multi-source heterogeneous data
Analysis, realize to the comprehensive monitoring in coal railway transport course, eventually by the mode of big data by the number of multiple systems
According to being acquired, arranging, analyzing, finally showed by coal dust suppression intelligence big data analysis platform by three-dimensional modeling mode
The Three Dimensional Contrast figure of all data in coal railway transport course, so as to intuitively judge coal in railway transport course
Drop situation.
To achieve the goals above, the invention adopts the following technical scheme:
The present invention provides a kind of railway transportation coal dust suppression intellectual monitoring analysis method based on big data comprising as follows
Step:
Multiple spot monitoring is carried out to the region that Coal Transport train passes through；
Each monitoring point by railway transportation coal dust suppression intellectual monitoring analysis system to the Coal Transport train of process into
Row monitoring, comprising: train is incuded by data by radar velocity measurement equipment, the sensed data of generation is transferred to laser radar prison
Measurement equipment, video monitoring equipment and Train number recognition equipment, triggering Monitoring by Lidar equipment, video monitoring equipment and Train number recognition
Equipment carries out the recording and candid photograph of radar scanning, video and picture, each coach number knowledge of train to Coal Transport train respectively
Not；The three dimensional point cloud for the entire compartment that the scanning of Monitoring by Lidar equipment generates is transferred to big data analysis platform
Transcoding server end carries out transcoded data；The image data of video and candid photograph that video monitoring equipment is recorded is defeated to arrive big data analysis
The transcoding server end of platform carries out transcoded data；The license number data in each section compartment of Train number recognition equipment identification are defeated to arrive big data
The transcoding server end of analysis platform carries out transcoded data；Atmospheric monitoring equipment by train by when the atmosphere that monitors in
The transcoding server end that grain object data are transferred to big data analysis platform carries out transcoded data；Weather monitoring device passes through train
When the meteorological data that monitors be transferred to the transcoding server end of big data analysis platform and carry out transcoded data；Big data analysis is flat
The transcoding server of platform carries out all data after transcoding by the Analysis server of network transmission to big data analysis platform
Screening arranges, analysis, and the final data of screening, arrangement, analysis is transferred to big number by the Analysis server of big data analysis platform
Three-dimensional data presentation is carried out according to the three-dimensional display server end of analysis platform；
It is compared by the data that the equipment to each monitoring point generates, show that coal respectively saves in railway transport course
The situation of change of compartment coal obtains each compartment coal by the comparison of each section photo compartment of point cloud data three-dimensional imaging and candid photograph
Charcoal drops situation.
As a kind of further technical solution, the region passed through to Coal Transport train carries out multiple spot monitoring packet
It includes:
Originating terminal along Coal Transport train is monitored；
Several website ends along Coal Transport train are monitored；
Destination terminal along Coal Transport train is monitored.
As a kind of further technical solution, the deployed position of each monitoring point includes:
Laser radar speed measuring equipment, Monitoring by Lidar equipment, video monitoring equipment major deployments are in Coal Transport train
Right above along the line or Along Railway two sides；
Air quality surveillance equipment, weather monitoring device, Train number recognition equipment dispose two sides along the railway respectively.
As a kind of further technical solution, the radar velocity measurement equipment is used to measure the number of speed of Coal Transport train
According to then transferring data to the transcoding of big data analysis platform by the network switch by network transmission to the network switch
Server end, then speed data generates the identifiable data of data analytics server after the transcoding of transcoding server end, connects
The data analytics server end of big data analysis platform is transferred to by the network switch, analyze end server analysis by data
The data for finally needing to present are generated after arrangement, then the data presented will be needed to be transmitted to big data analysis by the network switch and put down
The three-dimensional display server end of platform carries out three-dimensional data visualization and presents, and is finally shown by display end or splicing large-size screen monitors end
Come.
As a kind of further technical solution, the three dimensional point cloud that the Monitoring by Lidar equipment generates passes through net
Network is transferred to the network switch, and the transcoding server end of big data analysis platform is then transferred data to by the network switch,
Then three dimensional point cloud generates the identifiable data of data analytics server after the transcoding of transcoding server end, then by net
Network interchanger is transferred to the data analytics server end of big data analysis platform, after data analysis end server analysis arranges
The data for finally needing to present are generated, then the data presented will be needed to be transmitted to the three of big data analysis platform by the network switch
Dimension shows that server end carries out three-dimensional data visualization and presents, and is finally shown by display end or splicing large-size screen monitors end.
As a kind of further technical solution, the viewdata of the Coal Transport train of the video monitoring equipment acquisition
By network transmission to the network switch, viewdata is then transferred to the transcoding of big data analysis platform by the network switch
Server end, then data generate the identifiable data of data analytics server after the transcoding of transcoding server end, then by
The network switch is transferred to the data analytics server end of big data analysis platform, arranges by data analysis end server analysis
The data for finally needing to present are generated afterwards, then the data presented will be needed to be transmitted to big data analysis platform by the network switch
Three-dimensional display server end carries out three-dimensional data visualization and presents, and is finally shown by display end or splicing large-size screen monitors end.
As a kind of further technical solution, the compartment number for the Coal Transport train that the Train number recognition equipment generates
, to the network switch, compartment number is then transferred to big data analysis platform by the network switch according to by network transmission
Transcoding server end, then data generate the identifiable data of data analytics server after the transcoding of transcoding server end, connect
The data analytics server end of big data analysis platform is transferred to by the network switch, analyze end server analysis by data
The data for finally needing to present are generated after arrangement, then the data presented will be needed to be transmitted to big data analysis by the network switch and put down
The three-dimensional display server end of platform carries out three-dimensional data visualization and presents, and is finally shown by display end or splicing large-size screen monitors end
Come.
As a kind of further technical solution, the Coal Transport train railway edge of the air quality surveillance equipment generation
Line ambient air qualitative data by network transmission to the network switch, then by the network switch by ambient air qualitative data
It is transferred to the transcoding server end of big data analysis platform, then data generate data analysis after the transcoding of transcoding server end
The identifiable data of server are then transferred to the data analytics server end of big data analysis platform by the network switch, warp
It crosses after data analysis end server analysis arranges and generates the data for finally needing to present, then needs are presented by the network switch
The three-dimensional display server end that data are transmitted to big data analysis platform carries out three-dimensional data visualization and presents, finally by display
End or splicing large-size screen monitors end are shown.
As a kind of further technical solution, week along the Coal Transport train railway that the weather monitoring device generates
The meteorological data on side, to the network switch, is then transferred data to big data analysis by the network switch and put down by network transmission
The transcoding server end of platform, then data generate the identifiable number of data analytics server after the transcoding of transcoding server end
According to, the data analytics server end of big data analysis platform is then transferred to by the network switch, by data analysis end service
The data for finally needing to present are generated after device analysis and arrangement, then the data presented will be needed to be transmitted to big data by the network switch
The three-dimensional display server end of analysis platform carries out three-dimensional data visualization and presents, and is finally shown by display end or splicing large-size screen monitors end
It shows and.
As a kind of further technical solution, the laser radar apparatus, radar velocity measurement equipment, video monitoring equipment,
Train number recognition equipment, air monitering equipment, the data of weather monitoring device output are all by network interface transfers to big data
The transcoding server end of analysis platform, data carry out data point by network transmission to Analysis server after transcoding arranges
Analysis, finally data by analysis pass to three-dimensional display server end by network and carry out three-dimensional data presentation；The laser
Radar equipment, radar velocity measurement equipment, video monitoring equipment, Train number recognition equipment, air monitering equipment, weather monitoring device generate
Data all with database form storing data, big data analysis platform extracts the data in each device databases by network
Carry out big data analysis.
By adopting the above technical scheme, the invention has the following beneficial effects:
The present invention is quasi- from two visual angles of train coal capcity and dust concentration, is based on Monitoring by Lidar equipment, radar
The data of the equipment such as speed measuring equipment, video monitoring equipment, Train number recognition equipment, air quality surveillance equipment, weather monitoring device
Source the comprehensive monitoring during Coal Transport is realized by the analysis to multi-source heterogeneous data.Eventually by the side of big data
The data of multiple systems are acquired, arrange, analyze by formula, finally pass through three-dimensional by coal dust suppression intelligence big data analysis platform
Modeling pattern shows the Three Dimensional Contrast figure of all data in coal railway transport course, so as to intuitively judge railway
Coal drops situation in transportational process.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is the railway transportation coal dust suppression intellectual monitoring analysis system provided in an embodiment of the present invention based on big data
Control flow chart；
Fig. 2 is the railway transportation coal dust suppression intellectual monitoring analysis system provided in an embodiment of the present invention based on big data
Circuit connection diagram；
Fig. 3 is the railway transportation coal dust suppression intellectual monitoring analysis method provided in an embodiment of the present invention based on big data
Control flow chart；
Fig. 4 is the control interface schematic diagram of coal dust suppression intelligence big data analysis platform provided in an embodiment of the present invention.
Icon: 1- radar velocity measurement equipment；2- Monitoring by Lidar equipment；3- video monitoring equipment；4- Train number recognition equipment；
5- air quality surveillance equipment；6- weather monitoring device；The 7- network switch；The three-dimensional display service of 8- big data analysis platform
Device；The Analysis server of 9- big data analysis platform；The transcoding server of 10- big data analysis platform；11- splices large-size screen monitors；12-
Display.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation
Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" be based on the orientation or positional relationship shown in the drawings, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, term " first ", " second ",
" third " is used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood as the case may be
Concrete meaning in the present invention.
Below in conjunction with attached drawing, detailed description of the preferred embodiments.It should be understood that this place is retouched
The specific embodiment stated is merely to illustrate and explain the present invention, and is not intended to restrict the invention.
Embodiment one
In conjunction with shown in Fig. 1 to Fig. 4, the present embodiment provides a kind of railway transportation coal dust suppression intellectual monitoring based on big data
Analysis system comprising: Monitoring by Lidar equipment 2, radar velocity measurement equipment 1, video monitoring equipment 3, Train number recognition equipment 4,
Air quality surveillance equipment 5, weather monitoring device 6 and coal dust suppression intelligence big data analysis platform；The Monitoring by Lidar
Equipment 2 is connect with the coal dust suppression intelligence big data analysis platform, for monitoring the three-dimensional structure information of Coal Transport train
Data simultaneously feed back to the coal dust suppression intelligence big data analysis platform；The radar velocity measurement equipment 1 and the coal dust suppression intelligence
Can the connection of big data analysis platform, for measuring the speed data of Coal Transport train and to feed back to the coal dust suppression intelligently big
Data Analysis Platform；The video monitoring equipment 3 is connect with the coal dust suppression intelligence big data analysis platform, for passing through view
The mode of frequency acquisition acquires the image data of Coal Transport train and feeds back to the coal dust suppression intelligence big data analysis platform；
The Train number recognition equipment 4 is connect with the coal dust suppression intelligence big data analysis platform, and Coal Transport train is each for identification
The compartment number in a compartment simultaneously feeds back to the coal dust suppression intelligence big data analysis platform；The air quality surveillance equipment
5 connect with the coal dust suppression intelligence big data analysis platform, for monitoring ambient air matter along Coal Transport train railway
Amount data simultaneously feed back to the coal dust suppression intelligence big data analysis platform；The weather monitoring device 6 and the coal dust suppression
Intelligent big data analysis platform connection, for monitoring the meteorological data on periphery along Coal Transport train railway and feeding back to described
Coal dust suppression intelligence big data analysis platform；The coal dust suppression intelligence big data analysis platform is used for the data to each equipment
It is acquired, arranges, analyzes, and carry out three-dimensional data presentation.
As it can be seen that this system is quasi- from two visual angles of train coal capcity and dust concentration, based on Monitoring by Lidar equipment,
Radar velocity measurement equipment, video monitoring equipment, Train number recognition equipment, air quality surveillance equipment, the data of weather monitoring device are come
It is realized by the analysis to multi-source heterogeneous data to the comprehensive monitoring in coal railway transport course, eventually by big data in source
Mode the data of multiple systems are acquired, arrange, are analyzed, finally passed through by coal dust suppression intelligence big data analysis platform
Three-dimensional modeling mode shows the Three Dimensional Contrast figure of all data in coal railway transport course, so as to intuitively judge
Coal drops situation in railway transport course.
In the present embodiment, it is preferable that the coal dust suppression intelligence big data analysis platform includes: big data analysis platform
Transcoding server 10, the Analysis server 9 of big data analysis platform, the three-dimensional display server 8 of big data analysis platform and aobvious
Showing device；The transcoding server 10 of the big data analysis platform, the Analysis server 9 of big data analysis platform, big data point
The three-dimensional display server 8 of analysis platform is connect with the network switch 7 respectively；The network switch 7 respectively with the laser thunder
Up to monitoring device 2, radar velocity measurement equipment 1, video monitoring equipment 3, Train number recognition equipment 4, air quality surveillance equipment 5, meteorology
Monitoring device 6 connects；The display device is flat with the transcoding server 10 of the big data analysis platform, big data analysis respectively
The three-dimensional display server 8 of the Analysis server 9 of platform, big data analysis platform.
In the present embodiment, it is preferable that the display device includes: display 12 or splicing large-size screen monitors 11.
As a kind of further technical solution, the model C32-151A of the Monitoring by Lidar equipment 2.It is described to swash
Optical radar monitoring device 2 uses the three-dimensional coordinate information for directly acquiring the surface sampled point of target object, to obtain object
Three-dimensional structure information data.The Monitoring by Lidar equipment 2 is equipped with 32 pairs of fixed laser hairs using 32 line laser radars
It penetrates and laser receiver, by internal motor rotation to carry out 360 degree of panorama under 5hz (or 10hz, 20hz) revolving speed
Scanning.Using pulsed distance measuring method, range accuracy reaches ± 2cm, and data speed is up to 640,000 points/second, using ether
Network Communication interface.
Such as: Monitoring by Lidar equipment 2
Model: C32-151A；
Device parameter:
32 tunnel of scanning channel；
Distance measuring method pulsed；
Laser wavelength 905nm；
1 grade of laser levels (eye-safe)；
Signal transmission form wireless power and signal transmit；
150 meters of maximum range (reflectivity 30%)；
0.5 meter of minimum ranging；
The +/- 2cm of range accuracy；
The data acquisition speed 640,000 points/second of highest；
The vertical 32 tunnel vertical direction of scan frequency connects firmly；
Scan frequency horizontal 5Hz, 10Hz, 20Hz (optional)；
Field angle is -16 °~+15 ° 360 ° of level vertical；
It is 1 ° horizontal 5Hz:0.09 ° 10Hz:0.18 ° 20Hz:0.36 ° that angular resolution is vertically most close；
Impact 500m/sec2, continue 11ms；
Vibrate 5Hz~2000Hz, 3G rms；
Degree of protection is up to IP67.
As a kind of further technical solution, the model STJ1-12 of the radar velocity measurement equipment 1.The radar is surveyed
The narrow wave velocity radar that fast equipment 1 uses, frequency 24G, test the speed distance: 18~38m of bicycle road, test the speed range: 20km/h~
400km/h。
Such as: radar velocity measurement equipment 1
Model: STJ1-12；
Device parameter:
Narrow wave velocity radar；
Bicycle road velocity radar, frequency 24G；
Test the speed distance: 18~38m of bicycle road (adjustable)；
Test the speed range: 20km/h~400km/h；
WIFI function: the setting of radar parameters can be carried out by radar WIFI, debugged simple and fast；
Operating voltage: 9-12V DC.
As a kind of further technical solution, the model iDS- of the grasp shoot device of the video monitoring equipment 3
TCV300-AEM/1236.The model DS-TP50-12DH/S of the terminal server of the video monitoring equipment 3.The video
It includes the embedded video camera of high definition integration, high definition camera lens, outdoor shield, camera embedded with network signal that monitoring device 3, which uses,
The quick-fried monitoring device for dodging the equipment such as integrated lamp, LED environment light-supplementing lamp, terminal server composition of lightning protection device, infrared white light.
Such as: video monitoring equipment 3
Snap unit model: iDS-TCV300-AEM/1236
Device parameter:
Include the embedded video camera of high definition integration, high definition camera lens, outdoor shield, camera embedded with network signal lighting protection
Device, power supply adaptor etc.；
Sensor devices: two 1/1.8 inch global exposure CMOS
Camera lens 12-36mm；
Wide dynamic range is up to 107dB；
Video compress support H.265, H.264, M-JPEG, MPEG4, can support TCP/IP, HTTP, HTTPS, FTP, DNS,
RTP,RTSP,RTC,NTP,UpnP,IPv6；The network protocols such as DHCP, 802.1x；
Support main bit stream simultaneously export be no less than 30 tunnels 2048 × 1536,2Mbps 25 frames/s image to provide client
Browsing；
Support the automatic covering of storage, storage card maximum supports 256G；
Equipment build-in depths learn chip；
Two-way fusion function: built-in two imaging sensors can export black and white and color image respectively, and model machine can be to video
Image and candid photograph picture carry out fusion output；
Such as: 3 terminal server of video monitoring equipment；
Model: DS-TP50-12DH/S (2T)；
Device parameter:
Equipment uses built-in Linux real time operating system, memory size 2GB；
The adaptive RJ45 interface of 16 10M/100M, (wherein 1 is the adaptive RJ45 interface of 2 10M/100M/1000M
1000M can photoelectricity switch SFP interface, and be in same network segment with 16 100,000,000 network interfaces)；
Built-in 1 piece of 3.5 cun of 2T hard disk；
Support 2 road HD-TVI video cameras access coding transmission and video recording, should be able to 2 road HD-TVI vision signals of access into
The real-time loop-through output of row；
4 HD-TVI interfaces, 2 RS-232 interfaces, 4 RS-485 interfaces, 1 USB interface, 1 HDMI interface, 1
CVBS output interface, 2 USB2.0 interfaces, the alarm of 4 tunnels input interface, 4 tunnel warning output interfaces, 1 audio input interface, 1
A audio output interface, 1 DC12V output interface, 1 DC5V output interface, 1 eSATA interface, 4 SATA interfaces；
It supports to carry out video pictures splicing to any four video channel, can support analog channel and digital channel mix to spell
It connects；
At most accessible 16 road IP video cameras (single channel code rate 10M)；
Equipment has LCD display, and for showing and being arranged date, time, display device temperature, four pieces of display hard
The working condition of disk；
Local video preview, menu parameter configuration can be carried out by VGA, HDMI, and it is pre- can to carry out local video by CVBS
It lookes at.
As a kind of further technical solution, the model AEI-S1 type of the Train number recognition equipment 4, the license number is known
Other equipment 4 is using antenna, wheel detector (magnet steel), AEI host, preposition equipment, KVM (keyboard, mouse and display 12), letter
The Train number recognition equipment 4 of the part such as number lightning protection unit, temperature controller, ups power composition.
Such as: Train number recognition equipment 4
Model: AEI equipment S1 type；
Device parameter:
License number ground identifies equipment by antenna, wheel detector (magnet steel), AEI host, preposition equipment, KVM (keyboard, mouse
Mark and display 12), signal lighting protection unit, temperature controller, the part such as ups power form.
As a kind of further technical solution, the model BPM-200M of the air quality surveillance equipment 5.It is described big
Gas quality monitoring device 5 is dehumidified using dynamic heat and humidity compensation method, solves influence of the rainy day high humidity situation to measurement, entirely
Weather high-acruracy survey, concentration measurement minute refresh, and 15min, concentration limit report within the scope of any times such as 30min may be selected
It is alert.
Such as: air quality surveillance equipment 5
Model: BPM-200M
Device parameter:
Measuring principle β attenuation sensors；
Performance indicator:
Resolution ratio 0.0001mg/m3；
Minimum detection limit 0.005mg/m3；
Measuring range (0~10) mg/m3, (0~20) mg/m3, (0~50) mg/m3 (0~100) mg/m3 (optional)；
Sampling flow 2L/min；
Flow error ± 2%F.S.；
Discharge stability≤± 2% operating point flow/for 24 hours；
Calibration membrane reproducibility≤± 2% standard value；
Sampling period (1~360) min or continuous sampling；
Dust sampling time (1~300) min or continuous sampling；
Explorer count time (1~60) min；
Temporal resolution 1min；
Technical parameter；
Dynamic heat dynamic heat control system；
Concentration alarm carries out concentration alarm according to setting；
The design of paper-saving mode paper-saving mode, reduces maintenance；
Source C14 radioactive source, 10 μ Ci of activity, belongs to exemption source；
Filter-paper-tape glass fibre paper tape；
Interface parameters:
Communication interface RS232,4G is wirelessly transferred (connection, movement, three Netcom of telecommunications).
As a kind of further technical solution, the weather monitoring device 6 is using the visibility to Along Railway, wind
To, wind speed, gas epidemic disaster, rainfall etc. monitored automatically, and monitoring information be transmitted to monitoring center in time.
Device parameter:
The visibility of Along Railway, wind direction, wind speed, gas epidemic disaster, rainfall etc. are monitored automatically, and monitoring is believed
Breath is transmitted to monitoring center in time.The functions such as system is included to be shown, automatically saves, real-time lightning protection clock, data communication.
1, reliability service is in various severe field environments, low-power consumption, high stability, high-precision, can be unattended.
2, the perfect safeguard measures such as anti-lightning strike, corrosion-resistant, anti-interference.
3, wired connection and wireless network communication function, can connect with computer, and can realize and arrange net or different at a distance
Data monitoring is realized in ground telemetering.
4, recorder can work independently, and carry LCD display, clock, expansible, the every factor data of display, realization number
According to mass memory.Storage time requires, and can contact customization.
5, a variety of power supply modes such as ac-dc dual power supply system, solar cell for supplying power.
As a kind of further technical solution, the model DANA of the coal dust suppression intelligence big data analysis platform.
Big data platform is opened up by moral, by existing Monitoring by Lidar equipment 2, radar test set, video monitoring equipment
3, Train number recognition equipment 4, air quality surveillance equipment 5, weather monitoring device 6 are acquired extraction with unified format, break industry
Business barrier, makes data communication.Data after convergence are cleaned, are arranged, are obtained after meeting the valid data of operation flow, are led to
Cross DataStudio carry out data modeling and to model training, correction, obtain " coal is dropped " of final fitting production environment
Data model, it may be determined that specified train number, compartment coal upper surface deformation ratio between different websites form result set and stored.
Result set is visualized to presentation eventually by pandabi software or three-dimensional presence server.
Model: DANA
Device parameter:
Embodiment two
In conjunction with shown in Fig. 1 to Fig. 4, the present embodiment provides a kind of railway transportation coal dust suppression intellectual monitoring based on big data
Analysis method comprising following steps:
Multiple spot monitoring is carried out to the region that Coal Transport train passes through；
Each monitoring point is by the railway transportation coal dust suppression intellectual monitoring analysis system in embodiment one to the coal of process
Charcoal transport train is monitored, comprising: incudes train by data by radar velocity measurement equipment 1, the sensed data of generation is passed
It is defeated to arrive Monitoring by Lidar equipment 2, video monitoring equipment 3 and Train number recognition equipment 4, trigger Monitoring by Lidar equipment 2, video
Monitoring device 3 and Train number recognition equipment 4 carry out the recording of radar scanning, video and picture to Coal Transport train respectively and grab
It claps, the identification of each coach number of train；The three dimensional point cloud for the entire compartment that the scanning of Monitoring by Lidar equipment 2 generates
10 end of transcoding server for being transferred to big data analysis platform carries out transcoded data；The video and grab that video monitoring equipment 3 is recorded
Defeated 10 end of transcoding server to big data analysis platform of the image data of bat carries out transcoded data；Train number recognition equipment 4 identifies
Defeated 10 end of transcoding server to big data analysis platform of license number data in each section compartment carry out transcoded data；Atmospheric monitoring is set
It is standby by train by when the atmosphere that monitors in particulate count according to 10 end of transcoding server for being transferred to big data analysis platform
Carry out transcoded data；Weather monitoring device 6 by train by when the meteorological data that monitors be transferred to big data analysis platform
10 end of transcoding server carries out transcoded data；The transcoding server 10 of big data analysis platform passes through all data after transcoding
The Analysis server 9 of network transmission to big data analysis platform is screened, is arranged, is analyzed, the analysis of big data analysis platform
The final data of screening, arrangement, analysis is transferred to 8 end of the three-dimensional display server progress of big data analysis platform by server 9
Three-dimensional data is presented；
It is compared by the data that the equipment to each monitoring point generates, show that coal respectively saves in railway transport course
The situation of change of compartment coal obtains each compartment coal by the comparison of each section photo compartment of point cloud data three-dimensional imaging and candid photograph
Charcoal drops situation.
As it can be seen that the present invention is quasi- from two visual angles of train coal capcity and dust concentration, based on Monitoring by Lidar equipment,
The equipment such as radar velocity measurement equipment, video monitoring equipment, Train number recognition equipment, air quality surveillance equipment, weather monitoring device
Data source realizes the comprehensive monitoring during Coal Transport by the analysis to multi-source heterogeneous data.Eventually by big data
Mode the data of multiple systems are acquired, arrange, are analyzed, finally passed through by coal dust suppression intelligence big data analysis platform
Three-dimensional modeling mode shows the Three Dimensional Contrast figure of all data in coal railway transport course, so as to intuitively judge
Coal drops situation in railway transport course.
As a kind of further technical solution, the region passed through to Coal Transport train carries out multiple spot monitoring packet
It includes:
Originating terminal along Coal Transport train is monitored；
Several website ends along Coal Transport train are monitored；
Destination terminal along Coal Transport train is monitored.
As a kind of further technical solution, the deployed position of each monitoring point includes:
Laser radar speed measuring equipment 1, Monitoring by Lidar equipment 2,3 major deployments of video monitoring equipment are arranged in Coal Transport
Right above along vehicle or Along Railway two sides；
Air quality surveillance equipment 5, weather monitoring device 6, Train number recognition equipment 4 dispose two sides along the railway respectively.
As a kind of further technical solution, the radar velocity measurement equipment 1 is used to measure the speed of Coal Transport train
Data then transfer data to big data analysis platform by the network switch 7 by network transmission to the network switch 7
10 end of transcoding server, then speed data generates the identifiable number of data analytics server after the transcoding of transcoding server end
According to, the data analytics server end of big data analysis platform is then transferred to by the network switch 7, by data analysis end service
The data for finally needing to present are generated after device analysis and arrangement, then the data presented will be needed to be transmitted to big number by the network switch 7
Three-dimensional data visualization is carried out according to 8 end of three-dimensional display server of analysis platform to present, it is finally big by 12 end of display or splicing
Shield 11 ends to show.
As a kind of further technical solution, the three dimensional point cloud that the Monitoring by Lidar equipment 2 generates passes through
Network transmission is then transferred data to the transcoding server of big data analysis platform to the network switch 7 by the network switch 7
10 ends, then three dimensional point cloud generates the identifiable data of data analytics server after the transcoding of transcoding server end, connects
The data analytics server end of big data analysis platform is transferred to by the network switch 7, by data analysis end server point
Analysis generates the data for finally needing to present after arranging, then the data presented will be needed to be transmitted to big data point by the network switch 7
8 end of three-dimensional display server for analysing platform carries out three-dimensional data visualization and presents, finally by 12 end of display or splicing large-size screen monitors 11
End is shown.
As a kind of further technical solution, the number of views for the Coal Transport train that the video monitoring equipment 3 acquires
, to the network switch 7, viewdata is then transferred to big data analysis platform by the network switch 7 according to by network transmission
10 end of transcoding server, then data generate the identifiable data of data analytics server after the transcoding of transcoding server end,
Then it is transferred to the data analytics server end of big data analysis platform by the network switch 7, analyzes end server by data
The data for finally needing to present are generated after analysis and arrangement, then the data presented will be needed to be transmitted to big data by the network switch 7
8 end of three-dimensional display server of analysis platform carries out three-dimensional data visualization and presents, finally by 12 end of display or splicing large-size screen monitors
11 ends are shown.
As a kind of further technical solution, the coach number for the Coal Transport train that the Train number recognition equipment 4 generates
Compartment number, to the network switch 7, is then transferred to big data analysis by the network switch 7 and put down by data by network transmission
10 end of transcoding server of platform, then data generate the identifiable number of data analytics server after the transcoding of transcoding server end
According to, the data analytics server end of big data analysis platform is then transferred to by the network switch 7, by data analysis end service
The data for finally needing to present are generated after device analysis and arrangement, then the data presented will be needed to be transmitted to big number by the network switch 7
Three-dimensional data visualization is carried out according to 8 end of three-dimensional display server of analysis platform to present, it is finally big by 12 end of display or splicing
Shield 11 ends to show.
As a kind of further technical solution, the Coal Transport train railway of the generation of air quality surveillance equipment 5
Along the line ambient air qualitative data by network transmission to the network switch 7, then by the network switch 7 by ambient air quality
Data are transferred to 10 end of transcoding server of big data analysis platform, and then data generate number after the transcoding of transcoding server end
According to the identifiable data of Analysis server, the data analysis service of big data analysis platform is then transferred to by the network switch 7
Device end generates the data for finally needing to present after data analysis end server analysis arranges, then need to by the network switch 7
8 end of three-dimensional display server that the data to be presented are transmitted to big data analysis platform carries out three-dimensional data visualization and presents, most
It is shown eventually by 12 end of display or splicing 11 end of large-size screen monitors.
As a kind of further technical solution, along the Coal Transport train railway that the weather monitoring device 6 generates
The meteorological data on periphery, to the network switch 7, then transfers data to big data point by the network switch 7 by network transmission
10 end of transcoding server of platform is analysed, then data generate data analytics server after the transcoding of transcoding server end and can recognize
Data, the data analytics server end of big data analysis platform is then transferred to by the network switch 7, by data analyze end
Server analysis generates the data for finally needing to present after arranging, then the data presented will be needed to be transmitted to by the network switch 7
8 end of three-dimensional display server of big data analysis platform carries out three-dimensional data visualization and presents, finally by 12 end of display or spelling
11 end of large-size screen monitors is connect to show.
As a kind of further technical solution, the laser radar apparatus, radar velocity measurement equipment 1, video monitoring equipment
3, the data that Train number recognition equipment 4, air monitering equipment, weather monitoring device 6 export all are by network interface transfers to greatly
10 end of transcoding server of Data Analysis Platform, data are counted by network transmission to Analysis server after transcoding arranges
According to analysis, finally data by analysis pass to three-dimensional display server end by network and carry out three-dimensional data presentation；It is described
Laser radar apparatus, radar velocity measurement equipment 1, video monitoring equipment 3, Train number recognition equipment 4, air monitering equipment, weather monitoring
For the data that equipment 6 generates all with database form storing data, big data analysis platform extracts each device data by network
Data in library carry out big data analysis.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of railway transportation coal dust suppression intellectual monitoring analysis method based on big data, which is characterized in that including walking as follows
It is rapid:
Multiple spot monitoring is carried out to the region that Coal Transport train passes through；
It is supervised by Coal Transport train of the railway transportation coal dust suppression intellectual monitoring analysis system to process each monitoring point
It surveys, comprising: train is incuded by data by radar velocity measurement equipment, the sensed data of generation is transferred to Monitoring by Lidar and is set
Standby, video monitoring equipment and Train number recognition equipment, triggering Monitoring by Lidar equipment, video monitoring equipment and Train number recognition equipment
The recording and candid photograph of radar scanning, video and picture, each coach number identification of train are carried out to Coal Transport train respectively；Swash
The three dimensional point cloud for the entire compartment that the scanning of optical radar monitoring device generates is transferred to the transcoding of big data analysis platform
Server end carries out transcoded data；The image data of video and candid photograph that video monitoring equipment is recorded is defeated to arrive big data analysis platform
Transcoding server end carry out transcoded data；The license number data in each section compartment of Train number recognition equipment identification are defeated to arrive big data analysis
The transcoding server end of platform carries out transcoded data；Atmospheric monitoring equipment by train by when the atmosphere that monitors in particulate matter
The transcoding server end that data are transferred to big data analysis platform carries out transcoded data；Prison when weather monitoring device passes through train
The transcoding server end that the meteorological data measured is transferred to big data analysis platform carries out transcoded data；Big data analysis platform
Transcoding server screened all data after transcoding by the Analysis server of network transmission to big data analysis platform,
It arranges, analysis, the final data of screening, arrangement, analysis is transferred to big data point by the Analysis server of big data analysis platform
The three-dimensional display server end for analysing platform carries out three-dimensional data presentation；
It is compared by the data that the equipment to each monitoring point generates, show that coal respectively saves compartment in railway transport course
The situation of change of coal obtains each compartment coal by the comparison of each section photo compartment of point cloud data three-dimensional imaging and candid photograph
Drop situation.
2. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is, the region passed through to Coal Transport train carries out multiple spot monitoring and includes:
Originating terminal along Coal Transport train is monitored；
Several website ends along Coal Transport train are monitored；
Destination terminal along Coal Transport train is monitored.
3. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 2 based on big data, feature
It is, the deployed position of each monitoring point includes:
Laser radar speed measuring equipment, Monitoring by Lidar equipment, video monitoring equipment major deployments are along Coal Transport train
Surface or Along Railway two sides；
Air quality surveillance equipment, weather monitoring device, Train number recognition equipment dispose two sides along the railway respectively.
4. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 3 based on big data, feature
It is,
The radar velocity measurement equipment is used to measure the speed data of Coal Transport train, by network transmission to the network switch,
Then the transcoding server end of big data analysis platform is transferred data to by the network switch, then speed data passes through transcoding
The identifiable data of data analytics server are generated after server end transcoding, and big data analysis is then transferred to by the network switch
The data analytics server end of platform generates the data for finally needing to present after data analysis end server analysis arranges,
The three-dimensional display server end for needing the data presented to be transmitted to big data analysis platform is subjected to three-dimensional by the network switch again
Data visualization is presented, and is finally shown by display end or splicing large-size screen monitors end.
5. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is,
The three dimensional point cloud that the Monitoring by Lidar equipment generates passes through network transmission to the network switch, then by network
Interchanger transfers data to the transcoding server end of big data analysis platform, and then three dimensional point cloud passes through transcoding server
The identifiable data of data analytics server are generated after holding transcoding, big data analysis platform is then transferred to by the network switch
Data analytics server end generates the data for finally needing to present after data analysis end server analysis arranges, then by net
The three-dimensional display server end that the data that needs are presented are transmitted to big data analysis platform is carried out three-dimensional data by network interchanger can
It presents depending on changing, is finally shown by display end or splicing large-size screen monitors end.
6. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is,
The viewdata of the Coal Transport train of the video monitoring equipment acquisition passes through network transmission to the network switch, then
Viewdata is transferred to the transcoding server end of big data analysis platform by the network switch, then data pass through transcoding service
The identifiable data of data analytics server are generated after the transcoding of device end, and big data analysis platform is then transferred to by the network switch
Data analytics server end, generate the data that finally need to present after data analysis end server analysis arranges, then by
The three-dimensional display server end for needing the data presented to be transmitted to big data analysis platform is carried out three-dimensional data by the network switch
Visualization is presented, and is finally shown by display end or splicing large-size screen monitors end.
7. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is,
The compartment number for the Coal Transport train that the Train number recognition equipment generates, to the network switch, is connect by network transmission
Compartment number is transferred to the transcoding server end of big data analysis platform by the network switch, then data pass through transcoding
The identifiable data of data analytics server are generated after server end transcoding, and big data analysis is then transferred to by the network switch
The data analytics server end of platform generates the data for finally needing to present after data analysis end server analysis arranges,
The three-dimensional display server end for needing the data presented to be transmitted to big data analysis platform is subjected to three-dimensional by the network switch again
Data visualization is presented, and is finally shown by display end or splicing large-size screen monitors end.
8. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is,
Ambient air qualitative data is passed by network along the Coal Transport train railway that the air quality surveillance equipment generates
It is defeated to arrive the network switch, then the transcoding that ambient air qualitative data is transferred to big data analysis platform is taken by the network switch
Business device end, then data generate the identifiable data of data analytics server after the transcoding of transcoding server end, then by net
Network interchanger is transferred to the data analytics server end of big data analysis platform, after data analysis end server analysis arranges
The data for finally needing to present are generated, then the data presented will be needed to be transmitted to the three of big data analysis platform by the network switch
Dimension shows that server end carries out three-dimensional data visualization and presents, and is finally shown by display end or splicing large-size screen monitors end.
9. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is,
The meteorological data on periphery passes through network transmission to net along the Coal Transport train railway that the weather monitoring device generates
Network interchanger is then transferred data to the transcoding server end of big data analysis platform by the network switch, and then data pass through
The identifiable data of data analytics server are generated after crossing transcoding server end transcoding, big number is then transferred to by the network switch
According to the data analytics server end of analysis platform, generate what last needs were presented after data analysis end server analysis arranges
Data, then carried out the three-dimensional display server end for needing the data presented to be transmitted to big data analysis platform by the network switch
Three-dimensional data visualization is presented, and is finally shown by display end or splicing large-size screen monitors end.
10. the railway transportation coal dust suppression intellectual monitoring analysis method according to claim 1 based on big data, feature
It is,
The laser radar apparatus, radar velocity measurement equipment, video monitoring equipment, Train number recognition equipment, air monitering equipment, meteorology
The data of monitoring device output are all the transcoding server ends by network interface transfers to big data analysis platform, and data are passed through
Transcoding passes through network transmission after arranging and carries out data analysis to Analysis server, and finally data by analysis are passed to by network
Three-dimensional display server end carries out three-dimensional data presentation；The laser radar apparatus, radar velocity measurement equipment, video monitoring are set
The data that standby, Train number recognition equipment, air monitering equipment, weather monitoring device generate are all with database form storing data, greatly
Data Analysis Platform extracts the data in each device databases by network and carries out big data analysis.
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Application publication date: 20191022 |