CN202011409U - Dust suppression information automatic quality detection system for railway coal transportation - Google Patents
Dust suppression information automatic quality detection system for railway coal transportation Download PDFInfo
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- CN202011409U CN202011409U CN2010202761837U CN201020276183U CN202011409U CN 202011409 U CN202011409 U CN 202011409U CN 2010202761837 U CN2010202761837 U CN 2010202761837U CN 201020276183 U CN201020276183 U CN 201020276183U CN 202011409 U CN202011409 U CN 202011409U
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Abstract
The utility model provides a dust suppression information automatic quality detection system for railway coal transportation, comprising a harbor monitoring module, a monitoring module, a monitoring center used for storing and processing information sent by the port monitoring module and the monitoring module; the harbor monitoring module sends monitored dust suppression effect evaluation information and compartment identification information to the monitoring center via a network; the monitoring module sends information collected by a sensor and railway arriving information to the monitoring center via a network. The dust suppression information automatic quality detection system analyzes and processes information such as videos, pH values, flow, and viscosity transducer, realizes intelligent analysis and monitoring upon scenes, and automatically judges whether a railway transporting coal passes. When a coal transporting railway appears, the system immediately makes alarm, starts dust-depressor spray device, and transmits the alarm result to the monitoring center via a wireless network, realizing intellectualization management of dust-depressor spray.
Description
Technical field
The utility model relates at dust suppressant sprinkling intellectuality and monitoring intelligentization in the train transportation coal process, relates in particular to a kind of railway Coal Transport dust suppression information automation quality detecting system.
Background technology
Along with the great development of economy, also increasing to the demand of the energy, when the coal freight volume increases fast, in the Coal Transport way and the airborne dust that causes during the entrucking also affect the environment of railway periphery.China present stage, coal generally all adopts the open-top car transportation in railway transportation.In the Coal Transport process, because what roadbed, track switch and rail facility caused jolts, add wind effect, particularly when train enters the tunnel of certain-length, because the effect of " Piston Wind " can form powerful rough air of moment, the result makes the coal on surface, coal seam in the vehicle ground of being scattered, not only caused the loss and the pollution caused by coal dust of coal, but also can bring serious safety misadventure and hidden danger to railway transportation.
The utility model content
At the problems referred to above, the utility model provides a kind of and sprays system intelligent, monitoring intelligentization at dust suppressant in the train transportation coal process.
For achieving the above object, the technical solution adopted in the utility model is as follows:
Railway Coal Transport dust suppression information automation quality detecting system comprises harbour monitoring modular, monitoring modular, is used for the monitoring center of stores processor described harbour monitoring modular and information that monitoring modular sends; Described harbour monitoring modular sends to described monitoring and control centre with the anti-dust effect appreciation information and the compartment identifying information of monitoring by network; Described monitoring modular sends to described monitoring and control centre with the information and the train arrival information of sensor acquisition by network.
Further, described harbour monitoring modular comprises that at least one is used for first video acquisition device of dust suppressant spray effect assessment, second video acquisition device, at least one fiber optic, first video distributor, first recording apparatus, recruitment evaluation analytical equipment, the car plate discriminance analysis device that at least one is used to discern every joint railway carriage; Described first video acquisition device and second video acquisition device are divided into two-way after the vision signal of gathering is entered described first video distributor by described fiber optic, one tunnel vision signal is sent into described first recording apparatus, and one tunnel vision signal is sent into described recruitment evaluation analytical equipment and car plate discriminance analysis device and analyzed then analysis result is sent into described monitoring center by network.
Further, described monitoring modular comprises at least one the 3rd video acquisition device, at least one sensor device, second video distributor, second recording apparatus, train arrival analyser; Described the 3rd video acquisition device is divided into two-way by described second video distributor with signal and sends into described second recording apparatus and train arrival analyser respectively and analyze and import analysis result into described monitoring and control centre by network; Described sensor device is sent into described monitoring and control centre with the signal of gathering by network.
Further, described sensor device mode that the signal of gathering is sent into described monitoring and control centre is a network PLC mode.
Further, described sensor device comprises viscosity sensor, pH value sensor, ultrasonic transduter, level sensor.
Further, described network is a dedicated network.
Further, described monitoring and control centre comprises store video video recording, the disk array of the video recording of reporting to the police, provide facility information, parameter information, system information preserve with the database server of serving, finish video storage, forwarding, playback storage server, application program service is provided application server be connected the operational terminal of finishing warning with extraneous warning device.
The beneficial effects of the utility model: the utility model carries out analyzing and processing to information such as video, pH value, flow, viscosity transducers, realizes scene intellectual analysis and monitoring, judges whether the train process of transportation coal automatically.When fortune coal fire car occurring, system reports to the police immediately, starts the dust suppressant sprinkler, and alarming result is arrived monitoring and control centre by wireless network transmissions, realizes the intelligent management that dust suppressant is sprayed.Simultaneously, this system can assess the dust suppressant spray effect automatically, discerns the number-plate number automatically.
Description of drawings
Fig. 1 is the utility model one specific embodiment topology scheme drawing.
The specific embodiment
Referring to accompanying drawing 1, railway Coal Transport dust suppression information automation quality detecting system comprises harbour monitoring modular 13, monitoring modular 14, is used for the monitoring center 16 of stores processor described harbour monitoring modular and information that monitoring modular sends; Described harbour monitoring modular 13 sends to described monitoring and control centre 16 with the anti-dust effect appreciation information and the compartment identifying information of monitoring by dedicated network 15; Information and train arrival information that described monitoring modular 14 is gathered sensor 3 send to described monitoring and control centre 16 by dedicated network 15.
Described harbour monitoring modular comprises that a plurality of first video acquisition devices that are used for dust suppressant spray effect assessment are that camera 1, a plurality of second video acquisition device that is used to discern every joint railway carriage are camera 2, four fiber optics 4, first video distributor 5, first recording apparatus 7, recruitment evaluation analytical equipment 9, car plate discriminance analysis device 10; Described pick up camera 1 and pick up camera 2 are divided into two-way after the vision signal of gathering is entered described first video distributor 5 by described fiber optic 4, one tunnel vision signal is sent into described first recording apparatus, 7, one tunnel vision signal and is sent into described recruitment evaluation analytical equipment 9 and car plate discriminance analysis device 10 and analyze then analysis result is sent into described monitoring center 16 by dedicated network 15.
Described monitoring modular comprises that a plurality of the 3rd video acquisition devices are pick up camera 22, a plurality of sensor device 23, second video distributor 6, second recording apparatus 8, train arrival analyser 11; Described pick up camera 22 is divided into two-way by described second video distributor 6 with signal and sends into described second recording apparatus 8 and train arrival analyser 11 respectively and analyze and import analysis result into described monitoring and control centre 16 by dedicated network; Described sensor device 23 inserts the signal of gathering described dedicated network 15 and sends into described monitoring and control centre 16 by network PLC mode.Described sensor device comprises viscosity sensor, pH value sensor, ultrasonic transduter, level sensor.
Described monitoring and control centre 16 comprises store video video recording, the redundant array of inexpensive disks 17 of the video recording of reporting to the police, provide facility information, parameter information, system information preserve with the database server 18 of serving, finish video storage, forwarding, playback storage server 19, the application server 20 of application program service is provided and is connected the operational terminal 21 of finishing warning with extraneous warning device.
During concrete the application, video passes back to by fiber optic in the machine room of harbour monitoring modular, enters DVR by video distributor one tunnel and carries out video acquisition, coding, video recording; Another road enters analyser and carries out spray effect assessment and car plate identification respectively.Video and assessment result upload to monitoring and control centre by private network.The identification of wherein said car plate, when train behind the harbour, carry out each joint railway carriage car plate identification, the identification of affiliated company of same row train.In this project, belong to certain specific user, then the number-plate number that recognizes is combined with spray effect, send to monitoring and control centre if identify this joint railway carriage.
Monitoring modular is arranged a plurality of sensors, realizes temperature, viscosity, pH value, pressure parameter monitoring, realizes that dust suppressant sprays normalisation.Adopt the visible image capturing head, realize that dust suppressant sprays process monitoring.At front end, sensor parameters is linked into video analyzer by serial ports, at analyser, realizes that sensor parameters and video superimpose show, and stack result is stored in the disk array, realizes the parameter playback, reaches data fusion.At the harbour monitoring modular, every joint railway carriage numbering and assessment effect directly are presented in the video, conveniently check.
The concentration of dust suppressant, viscosity, sprinkling flow directly influence the crust intensity and the thickness in coal seam, the Acidity of Aikalinity of dust suppressant also directly influences railway carriage life-span and problem of environmental pollution, therefore the utility model is monitored viscosity, pH value, the sprinkling flow of dust suppressant automatically, automatically analyze the crust effect in coal seam behind the port by video, set up the dust suppressant judging basis of a standard, the effect of investment of patron saint east company; In the specific implementation, emphasis detects pH value (this index is directly connected to the degree of corrosion in environmental protection and compartment); Viscosity (this index can be directly influence crust effect, by the study of computing machine, define rational concentration and viscosity indication range, following sprinkling nonconformity liquid can report to the police and write down the automatic back information of result center and puts on record, for safety in production provides scientific basis);
Should be appreciated that " first " described in the present embodiment " second " etc. only for sake of convenience, not in order to limit the utility model.
Be to be understood that, embodiment described in the utility model is only for explaining this utility model, not in order to limiting the utility model, all any modifications of being made within design philosophy of the present utility model, spirit or be equal to alternatively all should fall within the claim scope of the present utility model.
Claims (7)
1. railway Coal Transport dust suppression information automation quality detecting system is characterized in that: comprise harbour monitoring modular, monitoring modular, be used for the monitoring center of stores processor described harbour monitoring modular and information that monitoring modular sends;
Described harbour monitoring modular sends to described monitoring and control centre with the anti-dust effect appreciation information and the compartment identifying information of monitoring by network; Described monitoring modular sends to described monitoring and control centre with the information and the train arrival information of sensor acquisition by network.
2. railway Coal Transport dust suppression information automation quality detecting system according to claim 1 is characterized in that: described harbour monitoring modular comprises that at least one is used for first video acquisition device of dust suppressant spray effect assessment, second video acquisition device, at least one fiber optic, first video distributor, first recording apparatus, recruitment evaluation analytical equipment, the car plate discriminance analysis device that at least one is used to discern every joint railway carriage;
Described first video acquisition device and second video acquisition device are divided into two-way after the vision signal of gathering is entered described first video distributor by described fiber optic, one tunnel vision signal is sent into described first recording apparatus, and one tunnel vision signal is sent into described recruitment evaluation analytical equipment and car plate discriminance analysis device and analyzed then analysis result is sent into described monitoring center by network.
3. railway Coal Transport dust suppression information automation quality detecting system according to claim 1 is characterized in that:
Described monitoring modular comprises at least one the 3rd video acquisition device, at least one sensor device, second video distributor, second recording apparatus, train arrival analyser;
Described the 3rd video acquisition device is divided into two-way by described second video distributor with signal and sends into described second recording apparatus and train arrival analyser respectively and analyze and import analysis result into described monitoring and control centre by network; Described sensor device is sent into described monitoring and control centre with the signal of gathering by network.
4. railway Coal Transport dust suppression information automation quality detecting system according to claim 3 is characterized in that: the mode that described sensor device is sent the signal of gathering into described monitoring and control centre is a network PLC mode.
5. railway Coal Transport dust suppression information automation quality detecting system according to claim 3, it is characterized in that: described sensor device comprises viscosity sensor, pH value sensor, ultrasonic transduter, level sensor.
6. according to the arbitrary described railway Coal Transport dust suppression information automation quality detecting system of claim 1-3, it is characterized in that: described network is a dedicated network.
7. railway Coal Transport dust suppression information automation quality detecting system according to claim 1 is characterized in that:
Described monitoring and control centre comprises store video video recording, the disk array of the video recording of reporting to the police, provide facility information, parameter information, system information preserve with the database server of serving, finish video storage, forwarding, playback storage server, application program service is provided application server be connected the operational terminal of finishing warning with extraneous warning device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010202761837U CN202011409U (en) | 2010-07-30 | 2010-07-30 | Dust suppression information automatic quality detection system for railway coal transportation |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010202761837U CN202011409U (en) | 2010-07-30 | 2010-07-30 | Dust suppression information automatic quality detection system for railway coal transportation |
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| Publication Number | Publication Date |
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| CN202011409U true CN202011409U (en) | 2011-10-19 |
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| CN2010202761837U Expired - Lifetime CN202011409U (en) | 2010-07-30 | 2010-07-30 | Dust suppression information automatic quality detection system for railway coal transportation |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103894301A (en) * | 2012-12-28 | 2014-07-02 | 北京精诚博桑科技有限公司 | Control mechanism and control system for dust suppressant spraying records |
| CN110247991A (en) * | 2019-07-19 | 2019-09-17 | 中交铁道设计研究总院有限公司 | Railway transportation coal dust suppression intellectual monitoring analysis system based on big data |
| CN110363676A (en) * | 2019-07-19 | 2019-10-22 | 中交铁道设计研究总院有限公司 | Railway transportation coal dust suppression intellectual monitoring analysis method based on big data |
| CN113554759A (en) * | 2021-07-26 | 2021-10-26 | 河南德拓信息科技有限公司 | Intelligent monitoring and analyzing method, device and equipment for coal transportation and scattering |
| CN116258432A (en) * | 2023-05-15 | 2023-06-13 | 国能数通(北京)科技有限公司 | Port intelligent coal marketing data information management system and method |
| CN113554759B (en) * | 2021-07-26 | 2024-05-14 | 河南德拓信息科技有限公司 | Intelligent monitoring and analyzing method, device and equipment for coal transportation and scattering |
-
2010
- 2010-07-30 CN CN2010202761837U patent/CN202011409U/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103894301A (en) * | 2012-12-28 | 2014-07-02 | 北京精诚博桑科技有限公司 | Control mechanism and control system for dust suppressant spraying records |
| CN103894301B (en) * | 2012-12-28 | 2016-05-11 | 北京精诚博桑科技有限公司 | A kind of dust suppressant sprays record controls mechanism and control system |
| CN110247991A (en) * | 2019-07-19 | 2019-09-17 | 中交铁道设计研究总院有限公司 | Railway transportation coal dust suppression intellectual monitoring analysis system based on big data |
| CN110363676A (en) * | 2019-07-19 | 2019-10-22 | 中交铁道设计研究总院有限公司 | Railway transportation coal dust suppression intellectual monitoring analysis method based on big data |
| CN113554759A (en) * | 2021-07-26 | 2021-10-26 | 河南德拓信息科技有限公司 | Intelligent monitoring and analyzing method, device and equipment for coal transportation and scattering |
| CN113554759B (en) * | 2021-07-26 | 2024-05-14 | 河南德拓信息科技有限公司 | Intelligent monitoring and analyzing method, device and equipment for coal transportation and scattering |
| CN116258432A (en) * | 2023-05-15 | 2023-06-13 | 国能数通(北京)科技有限公司 | Port intelligent coal marketing data information management system and method |
| CN116258432B (en) * | 2023-05-15 | 2023-07-11 | 国能数通(北京)科技有限公司 | Port intelligent coal marketing data information management system and method |
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| C14 | Grant of patent or utility model | ||
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Granted publication date: 20111019 |