CN112365658A - Charging pile resource allocation method based on edge calculation - Google Patents

Charging pile resource allocation method based on edge calculation Download PDF

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Publication number
CN112365658A
CN112365658A CN202010994099.7A CN202010994099A CN112365658A CN 112365658 A CN112365658 A CN 112365658A CN 202010994099 A CN202010994099 A CN 202010994099A CN 112365658 A CN112365658 A CN 112365658A
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Prior art keywords
charging pile
edge
image
cloud platform
calculation
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Inventor
缪巍巍
曾锃
张震
李凤强
李世豪
王传君
张厦千
张明轩
苏宇
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Information and Telecommunication Branch of State Grid Jiangsu Electric Power Co Ltd
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Information and Telecommunication Branch of State Grid Jiangsu Electric Power Co Ltd
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
    • G07F15/003—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity
    • G07F15/005—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity dispensed for the electrical charging of vehicles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The invention provides a charging pile resource allocation method based on edge computing, and provides an effective solution for the situation that the time delay of uploading all identity verification images to a cloud computing is large and the service quality of a quick charging mode is influenced.

Description

Charging pile resource allocation method based on edge calculation
Technical Field
The invention relates to the field of research on resource allocation by edge computing, in particular to a resource allocation scheme of a charging pile.
Background
Along with electric automobile's appearance, fill electric pile also gradually walk into people's life, can all see the existence of filling electric pile in places such as public parking area, public building and market. The charging pile can be fixed on the ground or on the wall, the occupied area is small, great convenience is brought to popularization of electric automobiles and life of people, and the use of the automobile public charging pile often relates to the problem of identity recognition so as to verify whether a user has the right to execute corresponding operation, pay and the like. The face image verification belongs to one verification mode, but the time delay of uploading all face images to a cloud terminal for calculation is large, the waiting time is long, and the user cannot endure the long waiting time due to fast paced life, so that a poor experience is generated. In recent years, in order to meet the requirements of users, research on rapid charging of charging piles is proposed, for example, an intelligent charging pile system and an electric vehicle photovoltaic charging pile are designed. The fast charging is called as fast charging, so that the time delay of uploading personal information to the cloud is reduced, and the performance of the charging pile can be effectively improved under the condition of ensuring the service quality.
Disclosure of Invention
In view of this, the present invention provides a charging pile resource allocation method based on edge computing to reduce time delay and energy consumption.
The technical scheme provided by the invention is as follows:
a charging pile resource allocation method based on edge calculation is used in a charging pile charging management system for identity recognition through images, and is characterized by comprising the following steps:
s1, establishing a model combining edge computing and cloud computing
Dividing image data reflecting identity information into two parts, wherein one part is allocated to a cloud platform for calculation, the other part is allocated to edge calculation equipment for calculation, the proportion of the calculated amount allocated by the edge calculation equipment to the total calculated amount of the image is set as alpha, and the alpha belongs to [0, 1], so that the proportion of the calculated amount allocated by the cloud platform is 1-alpha;
let the computation delay of the edge computing device be tEThen, then
Figure BDA0002691886260000021
Wherein C is the total calculated amount of the image, and the unit is bit, f0Is the computing speed of the edge computing device CPU; setting the communication time delay of the cloud platform as tCThen, then
Figure BDA0002691886260000022
The charging pile image acquisition equipment is communicated with the cloud platform, and then image data are uploaded to the cloud platform at a data transmission speed;
defining the square of time as energy and the total consumption of energy U as
U＝(tE)2+(tC)2 (3)
When the formula (1) and the formula (2) are substituted into the formula (3), U is derived and U' is calculated to be 0, the corresponding proportional value α is set to α0；
S2, calculating the obtained proportional value alpha according to the step S10And dividing the image, respectively sending the image data of the corresponding part to the edge computing device and the cloud platform for computing, and finishing identity recognition by combining the computing results fed back by the edge computing device and the cloud platform by the charging pile charging management system.
Further, the image is typically a human face image.
Has the advantages that:
according to the charging pile resource allocation method based on the edge calculation, an effective solution is provided for the situation that the service quality of a quick charging mode is influenced by the fact that the time delay of the identity verification image is long when the identity verification image is uploaded to a cloud end, and a reasonable resource allocation scheme is designed by utilizing the edge calculation, so that the time delay reduction and the energy consumption reduction can be realized, the service quality and the working efficiency of a charging pile charging management system are improved, and the waiting time of customers is shortened.
Drawings
Fig. 1 is a schematic diagram of an architecture of a charging management system of a charging pile;
fig. 2 is a schematic service flow diagram of the charging management system of the charging pile.
Detailed Description
To clarify the technical solution and working principle of the present invention, the present invention will be further described with reference to the accompanying drawings and specific embodiments.
The charging pile resource allocation method based on the edge calculation is used in a charging management system for identity recognition through images, and comprises the following main processes:
firstly, a part of an image used for identifying the identity of a consumer is placed on an edge only having a common authority for calculation, the rest part is sent to a cloud platform for calculation, the time delay of the edge calculation and the cloud calculation is calculated, the energy is obtained through the time delay, and then the total energy consumption for verifying the identity of the consumer is obtained; then, the total energy consumption is derived to obtain the optimal proportion, so that the consumed energy is minimized; and finally, completing the calculation proportion of the charging pile placed at the edge and the cloud in the rapid charging process according to the distribution requirement.
The following explains the process and principle of the method of the present invention by taking the recognition of face images as an example. The method comprises the following steps:
1) establishing a model combining edge computing and cloud computing during rapid charging;
specifically, when a consumer selects conventional charging, the face image is directly uploaded to a cloud end, when the consumer selects rapid charging, the calculated amount of the face image is defined as C (bit), at the moment, a mode of combining edge calculation and cloud end calculation is adopted, the proportion of the calculated amount of an edge part to the total calculated amount during rapid charging is alpha, wherein alpha belongs to [0, 1], and then the rest (1-alpha) is calculated by a cloud end platform.
2) Respectively calculating the energy consumption of edge calculation and cloud calculation, and then obtaining the total energy consumption;
specifically, the square of time is energy, the energy consumption of the edge and the cloud is obtained by calculating the time delay of edge calculation and the time delay of cloud calculation, and the total energy consumption is equal to the energy consumption on the edge plus the energy consumption of the cloud.
In the process that the face image is transmitted to the edge from the charging pile, because the charging pile is close to the edge computing equipment, the communication time delay between the charging pile and the edge computing equipment is ignored, but the computing time delay cannot be ignored.
The calculation time delay of the face image on the edge is as follows:
Figure BDA0002691886260000041
wherein f is0Is the operation speed of the edge computing device CPU.
The communication time delay of the face image on the cloud is as follows:
Figure BDA0002691886260000042
wherein, R is the transmission speed of the image data after the charging management system image acquisition terminal (facial recognition sensor) establishes communication connection with the cloud platform.
The time delay of fast charging on the edge and on the cloud is tEAnd tCThe square of the time is the amount of energy spent.
The total energy consumed is therefore:
U＝(tE)2+(tC)2
wherein the content of the first and second substances,
Figure BDA0002691886260000043
therefore:
Figure BDA0002691886260000044
3) the total energy consumption is subjected to derivation, and the minimum value of the function image is found after primary derivation and secondary derivation;
particularly, the first derivation and the second derivation are carried out on the total energy
To determine the monotonicity of the function U with respect to α, the function U is first derived:
Figure BDA0002691886260000051
changing U' to 0 to obtain
Figure BDA0002691886260000052
From alpha0In the expression of (A), we can obtain 0 < alpha0< 1, i.e., in the alpha-domain [0, 1]]And (4) the following steps.
Wherein when
Figure BDA0002691886260000053
When U' is less than or equal to 0, i.e. in the definition domain
Figure BDA0002691886260000054
Upper U is a monotone decreasing function; when in use
Figure BDA0002691886260000055
When U' > 0, i.e. in the definition domain
Figure BDA0002691886260000056
The upper U is a monotonically increasing function.
Derivative U' again to get U ":
Figure BDA0002691886260000057
since U 'is constantly greater than 0, U' increases monotonically, consistent with the situation.
The function U is decreased and then increased, so that the function U is
Figure BDA0002691886260000058
Taking the minimum value. Namely when
Figure BDA0002691886260000059
The energy consumption of the consumer is minimal.
4) And dividing the image data into two parts according to the optimal distribution proportion obtained in the step, and respectively distributing the two parts to the edge computing equipment and the cloud platform to enable the two parts to complete corresponding computation as required.
And finally, the charging management system completes the verification of the user identity by combining the calculation results of the edge calculation and the cloud calculation.
Besides the face image, the method of the embodiment can also be applied to other identity recognition images, including license plate images, certificate images and the like.
Compared with the prior art, the method effectively utilizes edge calculation, provides a reasonable resource allocation scheme based on charging pile edge calculation, and is suitable for the requirement of consumers on a charging pile rapid service mode.
The foregoing shows and describes the general principles, essential features, and advantages of the 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 foregoing description only for the purpose of illustrating the principles of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims, specification, and equivalents thereof.

Claims (2)

1. A charging pile resource allocation method based on edge calculation is used in a charging pile charging management system for identity recognition through images, and is characterized by comprising the following steps:
s1, establishing a model combining edge computing and cloud computing
Dividing image data reflecting identity information into two parts, wherein one part is allocated to a cloud platform for calculation, the other part is allocated to edge calculation equipment for calculation, the proportion of the calculated amount allocated by the edge calculation equipment to the total calculated amount of the image is set as alpha, and the alpha belongs to [0, 1], so that the proportion of the calculated amount allocated by the cloud platform is 1-alpha;
let the computation delay of the edge computing device be tEThen, then
Figure FDA0002691886250000011
Wherein C is the total calculated amount of the image, and the unit is bit, f0Is the computing speed of the edge computing device CPU;
setting the communication time delay of the cloud platform as tCThen, then
Figure FDA0002691886250000012
The charging pile image acquisition equipment is communicated with the cloud platform, and then image data are uploaded to the cloud platform at a data transmission speed;
defining the square of time as energy and the total consumption of energy U as
U＝(tE)2+(tC)2 (3)
When the formula (1) and the formula (2) are substituted into the formula (3), U is derived and U' is calculated to be 0, the corresponding proportional value α is set to α0；
S2, calculating the obtained proportional value alpha according to the step S10And dividing the image, respectively sending the image data of the corresponding part to the edge computing device and the cloud platform for computing, and finishing identity recognition by combining the computing results fed back by the edge computing device and the cloud platform by the charging pile charging management system.
2. The charging pile resource allocation method based on edge computing as claimed in claim 1, wherein the image is a face image.
CN202010994099.7A 2020-09-21 2020-09-21 Charging pile resource allocation method based on edge calculation Pending CN112365658A (en)

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Cited By (1)

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CN115002109A (en) * 2022-05-19 2022-09-02 蔚来汽车科技(安徽)有限公司 Method and device for distributing calculation tasks and computer readable storage medium

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CN106849942A (en) * 2016-12-29 2017-06-13 北京时代民芯科技有限公司 A kind of ultrahigh speed low jitter multiphase clock circuit
CN108510150A (en) * 2018-02-01 2018-09-07 东华大学 A kind of spinning CPS and its real-time task processing method based on edge calculations
CN110018834A (en) * 2019-04-11 2019-07-16 北京理工大学 It is a kind of to mix the task unloading for moving cloud/edge calculations and data cache method
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Application publication date: 20210212