CN114364080A - Expressway tunnel illumination carbon emission prediction model - Google Patents
Expressway tunnel illumination carbon emission prediction model Download PDFInfo
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- CN114364080A CN114364080A CN202210006190.2A CN202210006190A CN114364080A CN 114364080 A CN114364080 A CN 114364080A CN 202210006190 A CN202210006190 A CN 202210006190A CN 114364080 A CN114364080 A CN 114364080A
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- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 43
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 43
- 238000005286 illumination Methods 0.000 title claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 50
- 238000012544 monitoring process Methods 0.000 claims abstract description 43
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000008676 import Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 description 4
- 230000007774 longterm Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 238000004134 energy conservation Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/20—Controlling the colour of the light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/175—Controlling the light source by remote control
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- 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 belongs to the technical field of tunnel traffic lighting, and particularly relates to a carbon emission prediction model for highway tunnel lighting, which comprises a monitoring processing platform, a node control module, a light adjusting module, a lighting module, a collecting module, a vehicle detecting module and an alarm processing module; the lighting module is used for lighting a tunnel; the light adjusting module can adjust the brightness of the lighting module; the acquisition module can acquire carbon emission information generated by the lighting module; the node control module can store the information acquired by the acquisition module; the vehicle detection module can detect the running of the vehicle in the tunnel; the invention provides a carbon emission prediction model for highway tunnel illumination, which aims to solve the problem that the illumination in a tunnel can generate larger carbon emission, but specific data formed in detail is not available, and effective prediction and control cannot be carried out.
Description
Technical Field
The invention belongs to the technical field of tunnel traffic lighting, and particularly relates to a carbon emission prediction model for highway tunnel lighting.
Background
In the operation process of the tunnel, the maintenance cost and the power consumption cost of the tunnel are high, wherein the lighting system accounts for the most part of the electricity consumption of the tunnel machine, and simultaneously, more carbon emission is generated.
In the prior art, the illumination in the tunnel can generate larger carbon emission, but specific data of detailed forming is not available, and effective prediction and control cannot be carried out; therefore, the invention provides a carbon emission prediction model for highway tunnel illumination.
Disclosure of Invention
The invention provides a carbon emission prediction model for tunnel illumination of a highway, which aims to make up for the defects of the prior art and solve the problems that the illumination in a tunnel can generate large carbon emission, but specific data formed in detail is not available, and effective prediction and control cannot be carried out.
The technical scheme adopted by the invention for solving the technical problems is as follows: the invention relates to a highway tunnel lighting carbon emission prediction model which comprises a monitoring processing platform, a node control module, a light adjusting module, a lighting module, an acquisition module, a vehicle detection module and an alarm processing module, wherein the monitoring processing platform is used for monitoring the carbon emission of a highway tunnel; the lighting module is used for lighting a tunnel; the light adjusting module can adjust the brightness of the lighting module; the acquisition module can acquire carbon emission information generated by the lighting module; the node control module can store the information acquired by the acquisition module; the vehicle detection module can detect the running of the vehicle in the tunnel; the node control module transmits the stored information to a monitoring processing platform, and the monitoring processing platform establishes a carbon emission prediction model by using the passing data; the monitoring processing platform controls the alarm processing module; the method comprises the steps of establishing an expressway tunnel illumination carbon sink accounting model by utilizing data support provided by an expressway tunnel illumination intelligent operation state monitoring and processing platform, realizing analysis and calculation of tunnel illumination carbon emission data, and predicting the growth trend of long-term illumination carbon emission in a tunnel illumination system.
Preferably, the vehicle monitoring module is capable of monitoring the number of vehicles in the tunnel and the average traveling speed; the prediction model in the monitoring processing platform can be further adjusted by utilizing the vehicle information, so that the prediction model is more accurate.
Preferably, the light adjusting module comprises a sectional adjusting unit and an integral control unit; the segmented adjusting unit can adjust the light in the tunnel in a segmented manner; the integral control unit can uniformly control light switches in the tunnel; the light adjusting module can adjust the light intensity of the light in the tunnel in a segmented mode through the segmented adjusting unit according to the data of the vehicle monitoring module; the data and the change given by the light adjusting module can be effectively processed through the prediction model data, the carbon emission of the lighting module is further controlled, and the energy consumption of the lighting module is saved.
Preferably, the fault information in the alarm processing module is short circuit and open circuit of a light load, cable fault and lamp irradiation abnormity; the alarm processing can be carried out through the alarm processing, and then the fault type can be locked through the data deviation on the prediction model, so that the fault processing can be accelerated.
Preferably, the modeling system of the monitoring processing platform adopts two operation modes of automatically importing data to generate a prediction model and manually inputting data to generate the prediction model; the prediction models generated by two different modes can be compared to find a data deviation point, and then actual light can be processed according to the deviation data.
Preferably, the node control module performs remote management and control through the internet and the internet of things; during operation, the remote control can be more stable by utilizing the Internet and the Internet of things, the condition of data loss or data transmission errors can not occur, and the data transmission efficiency is further ensured.
Preferably, the lamp type of the lighting module is an LED lamp; when the LED lamp works, the LED lamp has the characteristic of energy conservation, and has good lighting effect and long service life.
Preferably, the monitoring processing platform is a computer; when the system works, a computer can be used for carrying out big data operation.
The invention has the following beneficial effects:
according to the expressway tunnel illumination carbon emission prediction model, the expressway tunnel illumination carbon sink accounting model is established by utilizing data support provided by the expressway tunnel illumination intelligent operation state monitoring and processing platform, analysis and calculation of tunnel illumination carbon emission data are achieved, and meanwhile, the growth trend of long-term illumination carbon emission in a tunnel illumination system is predicted.
Drawings
The invention will be further explained with reference to the drawings.
FIG. 1 is a schematic diagram of a highway tunnel lighting carbon emission prediction model;
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, the model for predicting carbon emission in illumination of a highway tunnel according to the present invention comprises a monitoring processing platform, a node control module, a light adjusting module, an illumination module, a collection module, a vehicle detection module and an alarm processing module; the lighting module is used for lighting a tunnel; the light adjusting module can adjust the brightness of the lighting module; the acquisition module can acquire carbon emission information generated by the lighting module; the node control module can store the information acquired by the acquisition module; the vehicle detection module can detect the running of the vehicle in the tunnel; the node control module transmits the stored information to a monitoring processing platform, and the monitoring processing platform establishes a carbon emission prediction model by using the passing data; the monitoring processing platform controls the alarm processing module; during working, collected carbon emission information of the lighting module can be collected and stored in a centralized mode through the node control module, then data are conducted into the monitoring processing platform, a highway tunnel lighting carbon sink accounting model is built by means of data support provided by the highway tunnel lighting intelligent operation state monitoring processing platform, analysis and calculation of tunnel lighting carbon emission data are achieved, and meanwhile the growth trend of long-term lighting carbon emission in the tunnel lighting system is predicted.
As an embodiment of the present invention, the vehicle monitoring module is capable of monitoring the number of vehicles in the tunnel and the average traveling speed; during operation, the quantity and the running speed of vehicles which are interrupted at each time can be detected by the vehicle monitoring module, the dimming of light can be adjusted according to the quantity and the running speed of detected vehicle time by the information, and the prediction model in the monitoring processing platform can be further adjusted by the vehicle information, so that the prediction model is more accurate.
As an embodiment of the present invention, the light adjusting module includes a sectional adjusting unit and an overall control unit; the segmented adjusting unit can adjust the light in the tunnel in a segmented manner; the integral control unit can uniformly control light switches in the tunnel; the light adjusting module can adjust the light intensity of the light in the tunnel in a segmented mode through the segmented adjusting unit according to the data of the vehicle monitoring module; when the tunnel lamp works, the segmented adjusting unit is used for adjusting the light intensity of light in the tunnel in a segmented mode to be suitable for driving of a vehicle, data and changes given by the light adjusting module can be effectively processed through prediction model data, the carbon emission amount of the lighting module is further controlled, and energy consumption of the lighting module is saved.
As an embodiment of the present invention, the fault information in the alarm processing module includes short circuit and open circuit of light load, cable fault and lamp irradiation abnormality; during operation, when the tunnel lighting module is short-circuited and broken, and a cable fault and lamp illumination are abnormal, when the prediction model and the actual emission model on the monitoring and processing platform are deviated, alarm processing can be performed through alarm processing, and then the fault type can be locked through data deviation on the prediction model, so that the fault processing can be accelerated.
As an embodiment of the invention, the modeling system of the monitoring processing platform adopts two operation modes, namely, an automatic import data generation prediction model and a manual input data generation prediction model; during working, the automatic import data generation prediction model can be directly analyzed and generated according to actual data, the manual input data generation prediction model can be used for analyzing and processing according to idealized data, the prediction models generated in two different modes can be compared, a data deviation point can be found, and then actual light can be processed according to deviation data.
As an embodiment of the present invention, the node control module performs remote management and control through the internet and the internet of things; during operation, the remote control can be more stable by utilizing the Internet and the Internet of things, the condition of data loss or data transmission errors can not occur, and the data transmission efficiency is further ensured.
As an embodiment of the present invention, the lamp type of the lighting module is an LED lamp; when the LED lamp works, the LED lamp has the characteristic of energy conservation, and has good lighting effect and long service life.
As an embodiment of the present invention, the monitoring processing platform is a computer; when the system works, a computer can be used for carrying out big data operation.
The working principle is as follows: the collected carbon emission information of the lighting module can be collected and stored in a centralized manner through the node control module, then the data are transmitted to the monitoring processing platform, a highway tunnel lighting carbon sink accounting model is established by utilizing data support provided by the highway tunnel lighting intelligent operation state monitoring processing platform, analysis and calculation of tunnel lighting carbon emission data are realized, and meanwhile, the growth trend of long-term lighting carbon emission in a tunnel lighting system is predicted; the quantity and the running speed of vehicles which are interrupted at each time can be detected by using the vehicle monitoring module, the dimming of the lamplight can be adjusted according to the quantity and the running speed of the detected vehicle time by using the information, and a prediction model in the monitoring processing platform can be further adjusted by using the vehicle information, so that the prediction model is more accurate; the segmented adjusting unit is used for adjusting the light intensity of the light in the tunnel in a segmented mode to be suitable for driving of the vehicle, data and changes given by the light adjusting module can be effectively processed through prediction model data, the carbon emission of the lighting module is further controlled, and the energy consumption of the lighting module is saved; when the tunnel lighting module is short-circuited and broken, cable faults and lamp irradiation are abnormal, when the prediction model and the actual emission model on the monitoring and processing platform are deviated, alarm processing can be performed through alarm processing, fault types can be locked through data deviation on the prediction model, and fault processing can be accelerated.
The front, the back, the left, the right, the upper and the lower are all based on figure 1 in the attached drawings of the specification, according to the standard of the observation angle of a person, the side of the device facing an observer is defined as the front, the left side of the observer is defined as the left, and the like.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience in describing the present invention and for simplifying the description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the scope of the present invention.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A prediction model for carbon emission in expressway tunnel illumination is characterized by comprising a monitoring processing platform, a node control module, a light adjusting module, an illumination module, an acquisition module, a vehicle detection module and an alarm processing module; the lighting module is used for lighting a tunnel; the light adjusting module can adjust the brightness of the lighting module; the acquisition module can acquire carbon emission information generated by the lighting module; the node control module can store the information acquired by the acquisition module; the vehicle detection module can detect the running of the vehicle in the tunnel; the node control module transmits the stored information to a monitoring processing platform, and the monitoring processing platform establishes a carbon emission prediction model by using the passing data; the monitoring processing platform controls the alarm processing module.
2. The model of claim 1, wherein the vehicle monitoring module is capable of monitoring the number of vehicles in the tunnel and the average speed of travel.
3. The model for predicting carbon emission in highway tunnel lighting according to claim 2, wherein said light adjusting module comprises a segmented adjusting unit and an integral control unit; the segmented adjusting unit can adjust the light in the tunnel in a segmented manner; the integral control unit can uniformly control light switches in the tunnel; the light adjusting module can adjust the light intensity of light in the tunnel in a segmented mode through the segmented adjusting unit according to the data of the vehicle monitoring module.
4. The model of claim 3, wherein the fault information in the alarm processing module is short circuit and open circuit of light load, cable fault and abnormal lighting of lamp.
5. The model of claim 4, wherein the modeling system of the monitoring processing platform operates in two modes, namely an automatic import data generation prediction model and a manual input data generation prediction model.
6. The model of claim 5, wherein the node control module is configured to remotely manage and control the lighting carbon emission of the highway tunnel via the Internet or the Internet of things.
7. The model of claim 6, wherein the lighting module is an LED lamp.
8. The model of claim 7, wherein the monitoring platform is a computer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202210006190.2A CN114364080A (en) | 2022-01-05 | 2022-01-05 | Expressway tunnel illumination carbon emission prediction model |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210006190.2A CN114364080A (en) | 2022-01-05 | 2022-01-05 | Expressway tunnel illumination carbon emission prediction model |
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| CN114364080A true CN114364080A (en) | 2022-04-15 |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105205466A (en) * | 2015-09-21 | 2015-12-30 | 广州地理研究所 | Energy carbon emission remote sensing estimation method based on night light images |
| CN113490312A (en) * | 2021-07-14 | 2021-10-08 | 广州市坤龙信息系统有限公司 | Intelligent illumination dimming method and system for expressway tunnel |
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- 2022-01-05 CN CN202210006190.2A patent/CN114364080A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105205466A (en) * | 2015-09-21 | 2015-12-30 | 广州地理研究所 | Energy carbon emission remote sensing estimation method based on night light images |
| CN113490312A (en) * | 2021-07-14 | 2021-10-08 | 广州市坤龙信息系统有限公司 | Intelligent illumination dimming method and system for expressway tunnel |
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