CN113554772A - Green optimization design method for lower edge calculation of ETC (electronic toll Collection) charging scene of expressway - Google Patents

Green optimization design method for lower edge calculation of ETC (electronic toll Collection) charging scene of expressway Download PDF

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CN113554772A
CN113554772A CN202110827190.4A CN202110827190A CN113554772A CN 113554772 A CN113554772 A CN 113554772A CN 202110827190 A CN202110827190 A CN 202110827190A CN 113554772 A CN113554772 A CN 113554772A
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license plate
energy consumption
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金雷
杨菡
李春
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Guangdong University of Technology
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Abstract

The invention discloses a green optimization design method for calculating the lower edge of an ETC (electronic toll collection) scene on an expressway, which comprises the following steps of: calculating the energy consumption sum of all license plate recognition equipment of each lane on the ETC portal frame at the position of each ETC lane entrance or detection point; calculating the system required bandwidth of each lane on the ETC portal frame based on the maximum service traffic volume of the road section where the ETC portal frame is located; constructing an energy consumption-performance model, and determining the minimum energy consumption required by the license plate recognition equipment according to the model, the system bandwidth and the working time; and determining the number of license plate recognition devices required by each lane on the ETC portal frame based on the relationship between the determined lowest energy consumption and the energy consumption sum of all the license plate recognition devices of each lane on the ETC portal frame. The invention can determine the number of the license plate recognition devices at the detection points to be distributed specifically under different conditions by establishing an energy consumption-performance model, so that the arrangement of the devices is more scientific and reasonable.

Description

Green optimization design method for lower edge calculation of ETC (electronic toll Collection) charging scene of expressway
Technical Field
The invention relates to the technical field of new energy and energy conservation, in particular to a green optimization design method for calculating the lower edge of an ETC charging scene of a highway.
Background
The ETC electronic toll collection system is generally applied to highway sections, bridges, tunnels and other sections needing toll collection at present. The ETC electronic toll collection system adopts the main equipment for charging detection of edge calculation as license plate recognition equipment in a portal frame system, and the license plate recognition equipment is used for recognizing the license plate of a vehicle running through a detection point. However, most of the existing license plate recognition devices for detecting points are erected on a road, and are not arranged in a differentiated mode according to different road sections and different requirements. Lack of targeted, differentiated arrangements will make the performance and energy consumption relationships of the detection points ineffectively coordinated.
The predecessors have made a certain amount of research on the ETC system, the edge computing, the device performance and the energy consumption, but at present, the research on the relationship between the performance and the energy consumption of the edge computing device in the ETC charging system seems to be a little related to the three.
Disclosure of Invention
The invention aims to provide a green optimization design method for calculating the lower edge of an ETC charging scene on an expressway, which coordinates the relation between equipment energy consumption and performance in a quantitative mode, thereby providing a more reasonable, targeted and differentiated ETC equipment arrangement mode.
In order to realize the task, the invention adopts the following technical scheme:
a green optimization design method for calculating the lower edge of an ETC charging scene of an expressway comprises the following steps:
calculating the energy consumption sum of all license plate recognition equipment of each lane on the ETC portal frame at the position of each ETC lane entrance or detection point;
calculating the system required bandwidth of each lane on the ETC portal frame based on the maximum service traffic volume of the road section where the ETC portal frame is located;
constructing an energy consumption-performance model expressed as:
fw(x)×α＝B×t×β
in the formula: f. ofw(x) An energy consumption function of the license plate recognition equipment; b is the bandwidth required by the system of each lane on the ETC portal frame; t is the working time; alpha is the proportion of energy consumption, and alpha is more than or equal to 0 and less than or equal to 1; beta is the proportion of the bandwidth, and beta is more than or equal to 0 and less than or equal to 1; wherein α + β ═ 1;
determining the minimum energy consumption required by the license plate recognition equipment based on the energy consumption-performance model, the system bandwidth and the working time;
and determining the number of license plate recognition devices required by each lane on the ETC portal frame based on the relationship between the determined lowest energy consumption and the energy consumption sum of all the license plate recognition devices of each lane on the ETC portal frame.
Further, the values of the two parameters α and β are as follows:
on a highway section with the first-level and second-level service levels, beta is 0.5-0.6, and alpha is 1-beta;
on a highway section with a three-level service level grade, beta is 0.6-0.7, and alpha is 1-beta;
on the road sections of terrains at the entrance and the exit of a curve or a tunnel, beta is 0.7-0.8, and alpha is 1-beta;
and on the highway section with the service level grade of four grades and the grade of more than four grades, beta is 0.8-0.9, and alpha is 1-beta.
Further, the service level grades of the highway sections are divided into the following grades:
Figure BDA0003174021230000021
where v/C is the ratio of the maximum service traffic volume to the reference traffic capacity under the reference conditions.
Further, based on the maximum service traffic volume of the road section where the ETC portal frame is located, the system required bandwidth of each lane on the ETC portal frame is measured and calculated, and the method comprises the following steps:
determine a road segment at
Figure BDA0003174021230000022
The maximum service traffic volume of the time, and calculating the maximum traffic volume of each lane per second;
determining a plurality of pictures to be captured and the size of each picture when each vehicle passes through the ETC portal frame according to design requirements;
and calculating the system required bandwidth of each lane of the road section at the designed speed.
Further, the determining the number of license plate recognition devices required by each lane on the ETC portal frame based on the relationship between the determined lowest energy consumption and the energy consumption sum of all the license plate recognition devices of each lane on the ETC portal frame comprises:
when the lowest energy consumption fminw(x)≤WGeneral assemblyIn time, the lane needs a vehicle license plate recognition device;
when W isGeneral assembly<fminw(x)<2WGeneral assemblyIn time, the lane needs two license plate recognition devices;
and so on.
Furthermore, the ideal layout interval of the license plate recognition equipment is 400 meters, and the actual layout interval is controlled to be 300-450 meters; the existing rod pieces, license plate recognition equipment and the like of the main line section in the implementation range are used up as much as possible, and the repeated construction of projects and the waste of funds are reduced.
Compared with the prior art, the invention has the following technical characteristics:
aiming at the problem that the relation between the performance and the energy consumption of the ETC detection point can not be effectively coordinated at present, the invention provides a model capable of coordinating the performance and the energy consumption, and by establishing an energy consumption-performance model, the number of license plate recognition devices at the detection point can be determined according to the number of the license plate recognition devices which are arranged on the condition of different terrains, different road sections and different performance requirements, and the arrangement of the devices is more scientific and reasonable according to the standard marking the specific positions of the arrangement.
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FIG. 1 is a schematic layout diagram of a license plate recognition device before 3+1 lane optimization;
FIG. 2 is a schematic diagram of the layout of license plate recognition equipment after 3+1 lane optimization;
fig. 3 is a block diagram of the ETC portal system.
Detailed Description
The invention provides an energy consumption-performance model, combines the actual conditions of a high-speed road section, calculates and optimizes the number of license plate recognition equipment at a detection point under the conditions of different terrains, different road sections and different performance requirements, and marks the specific distribution position according to the standard.
The license plate recognition equipment on the ETC portal frame shoots the appearance information of the vehicle, and the generated energy consumption is mainly related to parameters such as rated power (P), service time (t), rated current (I), rated voltage (U) and the like of equipment (such as a lane control machine, a light supplement lamp, RSU equipment, an exchanger and the like) required for completing the function.
For the equipment with known rated power and running time, the energy consumption calculation formula is as follows:
W＝Pt
in the formula: w is the energy consumption of the equipment, namely work (J); p is the rated power (w) of the device; t is the device running time(s).
For the equipment with known rated voltage, rated current and running time, the energy consumption calculation formula is as follows:
W＝UIt
in the formula: w is the energy consumption of the equipment, namely work (J); u is the rated voltage (V) of the equipment; i is the rated current (A) of the equipment; t is the device running time(s).
The total energy consumption of each lane on each ETC lane entrance/exit or detection point is the sum of the energy consumption of the vehicle identification equipment related to the function on the portal frame of the site.
WGeneral assembly＝∑W
Because the arrangement of the existing license plate recognition equipment at the A high speed is that one main equipment and one redundant equipment are arranged on each lane, the arrangement under different terrains and different road sections is not different, and the pertinence is lacked. Thus, an energy consumption-performance model is established for coordinating the relation between energy consumption and performance.
For ETC automatic charging systems, we aim to meet the performance requirements with the minimum energy consumption. The relationship between energy consumption and performance is established as follows:
fw(x)×α＝B×t×β
in the formula: f. ofw(x) Is a function of the energy consumption of the equipment; b is the bandwidth required by the system of each lane on the ETC portal frame, and is obtained according to the maximum service traffic volume measurement and calculation; t is the working time, usually in 1h, i.e. t 3600 s; alpha is the proportion of energy consumption, and alpha is more than or equal to 0 and less than or equal to 1; beta is the proportion of the bandwidth, and beta is more than or equal to 0 and less than or equal to 1; note that α + β in the formula is 1.
In the ETC charging edge computing system, it is not possible to select a device with high energy consumption for pursuing high performance at a glance, nor to pursue a device with low energy consumption, use energy-saving and environment-friendly devices for neglecting satisfaction of system performance. In order to seek a more appropriate value between the performance and the energy consumption, two parameters of alpha and beta are introduced to coordinate the relationship between the energy consumption and the performance of the device.
The service levels of the highway sections are ranked as shown in table 1:
TABLE 1 Highway segment service level grading
Figure BDA0003174021230000041
Figure BDA0003174021230000051
Note: v/C is the ratio of the maximum service traffic volume to the reference traffic capacity under the reference conditions. The reference capacity is the maximum service traffic volume corresponding to the five-level service level.
The values of the two parameters of α and β are defined as follows:
on a highway section with the first-level and second-level service levels, beta is 0.5-0.6, and alpha is 1-beta;
on a highway section with a three-level service level grade, beta is 0.6-0.7, and alpha is 1-beta;
on the road sections of terrains at the entrance and the exit of a curve or a tunnel, beta is 0.7-0.8, and alpha is 1-beta;
and on the highway section with the service level grade of four grades and the grade of more than four grades, beta is 0.8-0.9, and alpha is 1-beta.
According to the formula fw(x) Where the lowest power consumption required by the device under the premise of satisfying the device performance (measured in terms of bandwidth) is available, the lowest power consumption required by the device is:
Figure BDA0003174021230000052
and because the sum of the energy consumption of the devices related to the function on the portal frame at the place is WGeneral assemblyAnd then the specific layout number of the license plate recognition equipment can be obtained by comparison:
when f isminw(x)≤WGeneral assemblyIn time, the lane needs a vehicle license plate recognition device;
when W isGeneral assembly<fminw(x)<2WGeneral assemblyIn time, the lane requires two license plate recognition devices.
And so on.
The number of license plate recognition main equipment required by each lane is calculated by utilizing required bandwidth, working time and the like, and the conventional ETC portal system equipment can be transformed or utilized. When laying out the corresponding equipment, the following principles are followed:
the ideal layout interval of the external field special equipment is 400 meters, and the actual layout interval is controlled to be 300-450 meters; the existing rod pieces, identification equipment and the like of the main line section in the implementation range are used up as much as possible, and the repeated construction of the project and the capital waste are reduced.
Example (b):
taking the high speed a as an example, the up and down directions are both 3+1 lanes, i.e. three traffic lanes and one emergency lane. Since the A high speed is a non-provincial road section, the ETC portal system is provided with one portal (also called a semi-sub portal) for each direction. Each door frame should have the redundant setting of key equipment (such as RSU, license plate image recognition equipment, etc.), and when main equipment breaks down, redundant equipment can start work immediately, plays standby function, prevents whole system from idling. The ETC portal system consists of the following main equipment and facilities: the system comprises a lane controller, an RSU (road side unit), a license plate image recognition device, a high-definition camera, a station server, a lightning grounding facility, a communication device, a power supply device and the like. The specific number of the partial main equipment is shown in table 2, the equipment layout schematic diagrams are shown in fig. 1, fig. 2 and fig. 3, and the main equipment parameters are shown in table 3.
TABLE 2 ETC Portal System Primary Equipment and quantity
Figure BDA0003174021230000061
TABLE 3 Main plant parameters
Figure BDA0003174021230000062
(1) Bandwidth requirements: calculating the long-term bandwidth of ETC portal frame according to the maximum service traffic volume
According to the road engineering standard (JTG B01-2014), for a road segment with a driving speed of 120km/h, before the service level is reduced to the lower limit of the five-level service level, i.e. when V/C is 1, the maximum service traffic volume is 2200 traffic volume/(hour lane), and at this time, the reference traffic capacity, i.e. the maximum hour traffic volume corresponding to the five-level service level condition, is 2200 traffic volume/(hour lane), the maximum traffic volume per lane per second is:
2200 vehicle/(hour, lane) ÷ 3600 ═ 0.61 vehicle/(hour, lane)
The portal is arranged according to the full-section of the ETC portal, 3 pictures are captured by the equipment when each vehicle passes through a road section detection point, and the size of each captured picture is calculated according to 500 KB.
The communication bandwidth on each lane in each non-provincial-boundary ETC portal (according to a single-row portal) on a road section with the driving speed of 120km/h and the reference traffic capacity is as follows:
3 × 500KB × 8bit/B × 0.61 vehicle/(sec. lane) ≈ 7.3 Mbps.
According to the calculation, similarly, the road sections of the running speeds of 100km/h, 80km/h, 60km/h and 40km/h are calculated, and the communication bandwidth of each non-provincial ETC portal frame is shown in a table 4 under the condition of the reference traffic capacity:
(2) device count calculation
And (3) selecting the high-speed direction A, optimizing the road section taking the first toll station (K242+000) as a starting point and the interchange C (K269+840) as an end point as an example, and optimizing the total length of the road section by 27.84 kilometers.
In the first toll station-C intercommunication road section, facilities are abundant, and the types are more, and the main points are as follows:
four toll stations (a toll station A, a toll station B, a toll station C and a toll station D);
three tunnels (a tunnel, b tunnel, c tunnel);
two interchange seats (D interchange and C interchange);
according to the definition of the values of the two parameters of alpha and beta, the road section beta near the toll station is 0.6, the road section beta near the interchange is 0.65, and the road section beta near the tunnel entrance is 0.8.
Under an ETC charging scene, the core equipment which is used for identifying and detecting the driving road section of the vehicle is license plate image identification equipment. The license plate image recognition equipment mainly refers to a high-definition license plate recognition all-in-one machine. Taking a 300-ten-thousand-pixel high-definition license plate recognition all-in-one machine as an example, each machine has power of about 20W, and the energy consumption W of one high-definition license plate recognition all-in-one machine in 1h (3600s) is 20 × 3600 — 72000J.
According to the formula fw(x) Where the lowest power consumption required by the device under the premise of satisfying the device performance (measured in terms of bandwidth) is available, the lowest power consumption required by the device is:
Figure BDA0003174021230000071
the specific arrangement number of the license plate recognition devices can be obtained by comparison:
when f isw(x)≤WGeneral assemblyWhen the vehicle is used, a vehicle license plate recognition device is needed;
when W isGeneral assembly<fw(x)<2WGeneral assemblyTwo license plate recognition devices are required.
And so on.
The corresponding bandwidth values at each speed and the values of alpha and beta of each type of road section in the table 4 are substituted into the formula (3.3), so that the lowest energy consumption f required by the equipment on the premise of meeting the equipment performance can be obtainedw(x) As shown in table 5.
TABLE 4 non-provincial ETC portal passing Bandwidth
Figure BDA0003174021230000081
TABLE 5 lowest energy consumption and number of equipments in each section
Figure BDA0003174021230000082
Note: the highest speed limit of the tunnel is 80 km/h; the number of required license plate recognition devices does not contain redundant setting.
(3) Layout optimization
According to table 5, the required number of license plate recognition master devices is calculated by using the required bandwidth, the working time and the like, and the existing ETC portal system device can be transformed or utilized. When laying out the corresponding equipment, the following principles are followed:
the ideal layout interval of the external field special equipment is 400 meters, and the actual layout interval is controlled to be 300-450 meters; the existing rod pieces, identification equipment and the like of the main line section in the implementation range are used up as much as possible, and the repeated construction of the project and the capital waste are reduced.
The number of the license plate recognition main devices and the pile numbers of the layout positions are shown in table 6. The number of the layouts of the license plate recognition master devices in table 6 means the number of the layouts of the single lane. For the expressway with 3+1 lanes of the A high speed, the number of the license plate recognition main devices on a single lane of each detection point is set to be n, and the total number of the license plate recognition main devices on the portal frame of each detection point is set to be (3n + 1). No matter which detection point, the number plate recognition main equipment of the emergency lane is 1 set, and the number of the number plate recognition equipment before optimization is set according to the method.
Watch 6 number plate recognition main equipment layout position and number (Single lane)
Figure BDA0003174021230000091
The layout is specific to the main equipment of the front license plate recognition equipment, the front license plate recognition equipment needs to be provided with redundant equipment according to the regulations, and the number of the redundant equipment is set to be one set for each lane (including emergency lanes). The rear license plate recognition equipment only has main equipment, and one lane (including emergency lanes) is arranged on each lane, so that redundant setting is not carried out. The number of the optimized license plate recognition devices is specifically shown in table 7.
TABLE 7 details of the optimized front and rear license plate recognition device
Figure BDA0003174021230000092
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims (6)

1. A green optimization design method for calculating the lower edge of an ETC charging scene of an expressway is characterized by comprising the following steps of:
calculating the energy consumption sum of all license plate recognition equipment of each lane on the ETC portal frame at the position of each ETC lane entrance or detection point;
calculating the system required bandwidth of each lane on the ETC portal frame based on the maximum service traffic volume of the road section where the ETC portal frame is located;
constructing an energy consumption-performance model expressed as:
fw(x)×α＝B×t×β
in the formula: f. ofw(x) An energy consumption function of the license plate recognition equipment; b is the bandwidth required by the system of each lane on the ETC portal frame; t is the working time; alpha is the proportion of energy consumption, and alpha is more than or equal to 0 and less than or equal to 1; beta is the proportion of the bandwidth, and beta is more than or equal to 0 and less than or equal to 1; wherein α + β ═ 1;
determining the minimum energy consumption required by the license plate recognition equipment based on the energy consumption-performance model, the system bandwidth and the working time;
and determining the number of license plate recognition devices required by each lane on the ETC portal frame based on the relationship between the determined lowest energy consumption and the energy consumption sum of all the license plate recognition devices of each lane on the ETC portal frame.
2. The green optimization design method for calculating the lower edge of the ETC charging scene on the expressway according to claim 1, wherein the values of the two parameters of the alpha and the beta are as follows:
on a highway section with the first-level and second-level service levels, beta is 0.5-0.6, and alpha is 1-beta;
on a highway section with a three-level service level grade, beta is 0.6-0.7, and alpha is 1-beta;
on the road sections of terrains at the entrance and the exit of a curve or a tunnel, beta is 0.7-0.8, and alpha is 1-beta;
and on the highway section with the service level grade of four grades and the grade of more than four grades, beta is 0.8-0.9, and alpha is 1-beta.
3. A green optimization design method for calculating the lower edge of an ETC toll scene on an expressway according to claim 1, wherein the service level grade of the expressway section is divided into:
Figure FDA0003174021220000011
Figure FDA0003174021220000021
where v/C is the ratio of the maximum service traffic volume to the reference traffic capacity under the reference conditions.
4. The green optimization design method for calculating the lower edge of the ETC toll scene on the highway according to claim 1, wherein the step of measuring and calculating the system required bandwidth of each lane on the ETC portal frame based on the maximum service traffic volume of the section of the ETC portal frame comprises the following steps:
determine a road segment at
Figure FDA0003174021220000022
The maximum service traffic volume of the time, and calculating the maximum traffic volume of each lane per second;
determining a plurality of pictures to be captured and the size of each picture when each vehicle passes through the ETC portal frame according to design requirements;
and calculating the system required bandwidth of each lane of the road section at the designed speed.
5. The method according to claim 1, wherein the determining the number of license plate recognition devices required for each lane on the ETC gantry based on the relationship between the determined minimum energy consumption and the sum of the energy consumption of all license plate recognition devices of each lane on the ETC gantry comprises:
when f isminw(x)≤WGeneral assemblyIn time, the lane needs a vehicle license plate recognition device; f. ofminw(x) Represents the minimum energy consumption, W, required by the license plate recognition equipmentGeneral assemblyThe energy consumption sum of all license plate recognition devices of each lane is obtained;
when W isGeneral assembly<fminw(x)<2WGeneral assemblyIn time, the lane needs two license plate recognition devices;
and so on.
6. The green optimization design method for calculating the lower edge of the ETC charging scene on the expressway according to claim 1, wherein the ideal layout interval of license plate recognition equipment is 400 meters, and the actual layout interval is controlled to be 300-450 meters; the existing rod pieces, license plate recognition equipment and the like of the main line section in the implementation range are used up as much as possible, and the repeated construction of projects and the waste of funds are reduced.
CN202110827190.4A 2021-07-21 2021-07-21 Green optimization design method for lower edge calculation of ETC (electronic toll Collection) charging scene of expressway Pending CN113554772A (en)

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CN107808523A (en) * 2017-11-15 2018-03-16 西安艾润物联网技术服务有限责任公司 Detection means and its detection method, computer-readable recording medium
CN110008595A (en) * 2019-04-08 2019-07-12 交通运输部路网监测与应急处置中心 ETC energy-saving and emission-reduction benefit measuring method and device
CN210578663U (en) * 2019-12-13 2020-05-19 江苏金晓电子信息股份有限公司 A marginal computing system for wisdom ETC portal

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107808523A (en) * 2017-11-15 2018-03-16 西安艾润物联网技术服务有限责任公司 Detection means and its detection method, computer-readable recording medium
CN110008595A (en) * 2019-04-08 2019-07-12 交通运输部路网监测与应急处置中心 ETC energy-saving and emission-reduction benefit measuring method and device
CN210578663U (en) * 2019-12-13 2020-05-19 江苏金晓电子信息股份有限公司 A marginal computing system for wisdom ETC portal

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