CN108973760B - Charging pile management method based on Internet of things - Google Patents

Charging pile management method based on Internet of things Download PDF

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CN108973760B
CN108973760B CN201811011501.4A CN201811011501A CN108973760B CN 108973760 B CN108973760 B CN 108973760B CN 201811011501 A CN201811011501 A CN 201811011501A CN 108973760 B CN108973760 B CN 108973760B
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charging pile
charging
value
adaptation module
controlled
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CN108973760A (en
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孔舰
王明辉
陈盛旺
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Fujian Baicheng New Energy Technology Co Ltd
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Fujian Baicheng New Energy Technology Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/70—Interactions with external data bases, e.g. traffic centres
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

Abstract

The invention discloses a charging pile management method based on the Internet of things, which comprises the steps that a user makes an appointment for an idle charging pile nearby, and the like; the invention not only can intuitively know the data of the charging pile, does not need the operation and maintenance personnel to regularly patrol, but also can realize the automatic control of the charging pile equipment, and realizes an adjusting mode with obvious advantage on the control time under the condition of ensuring the consistent control effect, so that the system can provide higher communication transmission efficiency as far as possible while ensuring the error rate required by the system, and the operation and maintenance cost in unit time is greatly improved.

Description

Charging pile management method based on Internet of things
Technical Field
The invention belongs to the technical field of new energy automobiles. In particular to a charging pile management method based on the Internet of things.
Background
New energy automobiles are more and more highly valued by countries all over the world, users of the existing electric automobile charging and battery replacement management service platform can log in to inquire the charging pile location and reserve charging, specific actual operating parameters of the charging pile cannot be acquired to evaluate the real-time operating state of the charging pile, the operation and maintenance are difficult,
and the charging and battery replacing platform has a complex management flow to the charging pile in the network, so that a user needs to spend a large amount of time in the using process, and the limitation is greatly increased.
Disclosure of Invention
The invention aims to overcome the defects and provides a charging pile management method based on the Internet of things.
A charging pile management method based on the Internet of things comprises the following steps:
s1, a user makes an appointment for an idle charging pile nearby;
s2, receiving user reservation information by the charging pile, matching, sending a receipt to the user after matching is successful, and connecting and charging the charging pile by the user according to the reserved time;
s3, detecting the state of the automobile battery in real time by the charging pile in the charging process, and adjusting a charging mode according to the state of the battery;
s4, after charging is completed, disconnecting the charging pile from the automobile, and enabling the adaptive module to acquire data of the charging pile and transmit the data to the cloud storage module for storage;
s5, the control center calls the data of the charging pile from a cloud storage module and generates a control instruction for controlling the idle running state of the charging pile;
and S6, transmitting the control instruction to an adaptation module corresponding to the charging pile, and controlling the idle running state of the charging pile by the adaptation module according to the control instruction.
Further, the charging mode in S3 includes a fast charging mode and a normal mode, the fast charging mode is performed before the battery of the electric vehicle is charged to 60% of the charge value, and the normal mode is switched to when the battery of the electric vehicle is charged to 60% of the charge value.
Further, in S3, when the battery of the electric vehicle reaches the 100% electric quantity value, the charging pile automatically cuts off the charging current to stop charging, and sends the charging completion information to the user.
Further, in step S5, the control center retrieves the data of the charging pile from the cloud storage module, and determines whether the data of the corresponding charging pile is within a data threshold according to a pre-stored data threshold, if not, it determines that the charging pile is faulty, and the control instruction is to close the charging pile, and if within the data threshold, the control instruction is to continue to watch.
Further, the S6 includes the following steps:
s61, before control, calling a control instruction script for initialization, and constructing a control instruction script parser, wherein the script parser is used for storing the serial number of the charging pile, the serial number of the adaptation module, the number of the charging piles, the register value and the address value of the adaptation module;
s62, the control center issues control parameters to the script, the script makes fixed judgment on the register address of the adaptation module, when the register address is judged to belong to the adaptation module corresponding to the charging pile to be controlled, the charging pile is controlled, meanwhile, the algorithm is triggered to enter a script calculation flow function, the rest of idle charging piles are calculated, the register value and the address value of the adaptation module corresponding to the last controlled charging pile are obtained from a pre-constructed script resolver, the register value of the adaptation module corresponding to the charging pile to be controlled is calculated, and by analogy, the register value sj of the adaptation module corresponding to the charging pile to be controlled is also consistent, repeatedly calculated, updated and repeatedly written in until all the idle charging piles are controlled;
the charging pile control method comprises the following steps that sj is a corresponding adaptive module register value of a charging pile to be controlled, sc is the number of the charging piles to be controlled, mc is a result of rounding off, dj is a corresponding adaptive module register value of a currently controlled charging pile, bj is a corresponding adaptive module register value of a charging pile controlled in a previous fixed time period, bc is a number of charging piles controlled in the previous fixed time period, and xc is a number of charging piles controlled in a next fixed time period;
s64, when the sj value is larger than the bj value, the control fails to exit; when the sj value is equal to the bj value, subtracting 1 from the sj value, processing and writing the sj value into a script, and then controlling the charging pile by the adaptation module according to the control instruction script; and when the sj value is smaller than the bj value, directly writing a script, and then controlling the charging pile by the adaptation module according to the control instruction.
Further, before the adapting module in S4 acquires the data of the charging pile, the method includes the following steps:
s41: determining the grouping number of the charging piles to be N;
s42: different modulation techniques are independently adopted for different charging pile groups according to the channel quality, and the adaptive module can carry out correct space-frequency decoding on each group;
s43: for different charging piles, in each transmission time interval, obtaining channel quality estimation of each subcarrier channel from each adaptation module to the charging pile by using a reference signal;
s44: aiming at the u charging pile, calculating an AWGN channel equivalent SNR value corresponding to each subcarrier group of each adaptation module through channel estimation, and using the SNRi,p,uRepresenting the equivalent SNR value of the ith subcarrier group of the ith adaptation module obtained by the u charging pile, i is 1,2, M, P is 1, Pu；
S45: calculating the channel quality SNR of each i adaptation modules corresponding to the u charging pile by adopting an exponential effective SNR methodi,u；
S46: to the firstu charging piles for comparing SNR of M adapting modulesi,uSorted from large to small and every M/N SNRs from large to smalli,uThe corresponding charging piles are divided into 1 group.
The invention has the following advantages and effects:
the data that not only can audio-visually know to fill electric pile need not the operation and maintenance personnel and patrol and examine regularly, can also realize the automatic control to filling electric pile equipment simultaneously, realizes the regulation mode that control time has obvious advantage under the unanimous circumstances of assurance control effect for the system can provide higher communication transmission efficiency as far as when guaranteeing the required error rate of system, has very big promotion on the operation and maintenance cost in the unit interval.
Drawings
FIG. 1 is a schematic structural diagram of the platform of the present invention.
Detailed Description
Various embodiments of the present application will be described more fully hereinafter with reference to the accompanying drawings. This application is capable of various embodiments and of modifications and variations there between. The present application will therefore be described in more detail with reference to specific embodiments thereof as illustrated in the accompanying drawings. However, it should be understood that: there is no intention to limit the various embodiments of the application to the specific embodiments of the application but, on the contrary, the application is to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of the various embodiments of the application. Like reference numerals refer to like elements throughout the description of the figures.
Hereinafter, the terms "includes" or "may include" used in various embodiments of the present application indicate the presence of the claimed function, operation, or element, and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in various embodiments of the present application, the terms "comprising," "having," and their derivatives, are intended to be only representative of particular features, integers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to one or more other features, integers, steps, operations, elements, components, or combinations of the foregoing.
In various embodiments of the present application, the expression "or" at least one of a or/and B "includes any or all combinations of the words listed simultaneously. For example, the expression "a or B" or "at least one of a or/and B" may include a, may include B, or may include both a and B.
Expressions (such as "first", "second", and the like) used in various embodiments of the present application may modify various constituent elements in the various embodiments, but may not limit the respective constituent elements. For example, the above description does not limit the order and/or importance of the elements described. The foregoing description is for the purpose of distinguishing one element from another. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of various embodiments of the present application.
It should be noted that: if it is described that one constituent element is "connected" to another constituent element, the first constituent element may be directly connected to the second constituent element, and a third constituent element may be "connected" between the first constituent element and the second constituent element. In contrast, when one constituent element is "directly connected" to another constituent element, it is understood that there is no third constituent element between the first constituent element and the second constituent element.
The terminology used in the various embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the present application. As used herein, the singular forms are intended to include the plural forms as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present application belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments. A charging pile management method based on the Internet of things comprises the following steps:
s1, a user makes an appointment for an idle charging pile nearby;
s2, receiving user reservation information by the charging pile, matching, sending a receipt to the user after matching is successful, and connecting and charging the charging pile by the user according to the reserved time;
s3, detecting the state of the automobile battery in real time by the charging pile in the charging process, and adjusting a charging mode according to the state of the battery;
s4, after charging is completed, disconnecting the charging pile from the automobile, and enabling the adaptive module to acquire data of the charging pile and transmit the data to the cloud storage module for storage;
s5, the control center calls the data of the charging pile from a cloud storage module and generates a control instruction for controlling the idle running state of the charging pile;
and S6, transmitting the control instruction to an adaptation module corresponding to the charging pile, and controlling the idle running state of the charging pile by the adaptation module according to the control instruction.
The charging mode in S3 includes a fast charging mode and a normal mode, the fast charging mode is performed when the battery charge of the electric vehicle reaches 60% of the charge value, and the normal mode is switched to when the battery charge of the electric vehicle reaches 60% of the charge value.
And in the step S3, when the battery of the electric automobile is charged to reach the 100% electric quantity value, the charging pile automatically cuts off the charging current to stop charging, and sends the charging completion information to the user.
In the step S5, the control center calls the data of the charging pile from the cloud storage module, and determines whether the data of the corresponding charging pile is within a data threshold according to a pre-stored data threshold, if not, it determines that the charging pile is in failure, the control instruction is to close the charging pile, and if within the data threshold, the control instruction is to continue to watch.
The S6 includes the steps of:
s61, before control, calling a control instruction script for initialization, and constructing a control instruction script parser, wherein the script parser is used for storing the serial number of the charging pile, the serial number of the adaptation module, the number of the charging piles, the register value and the address value of the adaptation module;
s62, the control center issues control parameters to the script, the script makes fixed judgment on the register address of the adaptation module, when the register address is judged to belong to the adaptation module corresponding to the charging pile to be controlled, the charging pile is controlled, meanwhile, the algorithm is triggered to enter a script calculation flow function, the rest of idle charging piles are calculated, the register value and the address value of the adaptation module corresponding to the last controlled charging pile are obtained from a pre-constructed script resolver, the register value of the adaptation module corresponding to the charging pile to be controlled is calculated, and by analogy, the register value sj of the adaptation module corresponding to the charging pile to be controlled is also consistent, repeatedly calculated, updated and repeatedly written in until all the idle charging piles are controlled;
Figure BDA0001785217150000071
the charging pile control method comprises the following steps that sj is a corresponding adaptive module register value of a charging pile to be controlled, sc is the number of the charging piles to be controlled, mc is a result of rounding off, dj is a corresponding adaptive module register value of a currently controlled charging pile, bj is a corresponding adaptive module register value of a charging pile controlled in a previous fixed time period, bc is a number of charging piles controlled in the previous fixed time period, and xc is a number of charging piles controlled in a next fixed time period;
s64, when the sj value is larger than the bj value, the control fails to exit; when the sj value is equal to the bj value, subtracting 1 from the sj value, processing and writing the sj value into a script, and then controlling the charging pile by the adaptation module according to the control instruction script; and when the sj value is smaller than the bj value, directly writing a script, and then controlling the charging pile by the adaptation module according to the control instruction.
Before the adaptation module in S4 acquires the data of the charging pile, the method includes the following steps:
s41: determining the grouping number of the charging piles to be N;
s42: different modulation techniques are independently adopted for different charging pile groups according to the channel quality, and the adaptive module can carry out correct space-frequency decoding on each group;
s43: for different charging piles, in each transmission time interval, obtaining channel quality estimation of each subcarrier channel from each adaptation module to the charging pile by using a reference signal;
s44: aiming at the u charging pile, calculating an AWGN channel equivalent SNR value corresponding to each subcarrier group of each adaptation module through channel estimation, and using the SNRi,p,uRepresenting the equivalent SNR value of the ith subcarrier group of the ith adaptation module obtained by the u charging pile, i is 1,2, M, P is 1, Pu；
S45: calculating the channel quality SNR of each i adaptation modules corresponding to the u charging pile by adopting an exponential effective SNR methodi,u；
S46: for the u charging pile, comparing SNR of M adapting modulesi,uSorted from large to small and every M/N SNRs from large to smalli,uThe corresponding charging piles are divided into 1 group.
A new energy automobile charging station cloud management platform for realizing the method comprises the following parts:
the adaptation module is used for acquiring the data of the charging pile and transmitting the data to the cloud storage module for storage;
the cloud storage module is used for storing and acquiring data of the charging pile;
and the control center is used for calling the data of the charging pile from the cloud storage module, generating a control instruction for controlling the idle running state of the charging pile, and then transmitting the control instruction to the adaptation module corresponding to the charging pile to control the idle running state of the charging pile.
The control center further comprises a comparison module, the comparison module is used for calling the data of the charging pile from the cloud storage module, judging whether the corresponding data of the charging pile is within a data threshold value according to the pre-stored data threshold value, if not, judging that the charging pile breaks down, the control instruction is to close the charging pile, and if the data is within the data threshold value, the control instruction is to continue to watch.
The control center further comprises:
the script analysis and construction module is used for calling the control instruction script for initialization and constructing a control instruction script analyzer, and the script analyzer is used for storing the serial number of the charging pile, the serial number of the adaptation module, the number of the charging piles, the register value and the address value of the adaptation module;
the charging pile control module is used for issuing control parameters to the script, the script fixedly judges the registered address of the adaptation module, when the registered address is judged to belong to the adaptation module corresponding to the charging pile to be controlled, the charging pile is controlled, meanwhile, the algorithm is triggered to enter a script calculation flow function, the rest of idle charging piles are calculated, the registered value and the address value of the adaptation module corresponding to the last controlled charging pile are obtained from a pre-constructed script resolver, the registered value of the adaptation module corresponding to the charging pile to be controlled is calculated, and by analogy, the registered value sj of the adaptation module corresponding to the charging pile to be controlled is also consistent, repeatedly calculated, updated and repeatedly written until all the idle charging piles are controlled;
a register value calculating module for calculating the register value of the adaptive module corresponding to the charging pile to be controlled
Figure BDA0001785217150000091
The charging pile control method comprises the following steps that sj is a corresponding adaptive module register value of a charging pile to be controlled, sc is the number of the charging piles to be controlled, mc is a result of rounding off, dj is a corresponding adaptive module register value of a currently controlled charging pile, bj is a corresponding adaptive module register value of a charging pile controlled in a previous fixed time period, bc is a number of charging piles controlled in the previous fixed time period, and xc is a number of charging piles controlled in a next fixed time period;
the judgment control module is used for controlling the failed exit when the sj value is larger than the bj value; when the sj value is equal to the bj value, subtracting 1 from the sj value, processing and writing the sj value into a script, and then controlling the charging pile by the adaptation module according to the control instruction script; and when the sj value is smaller than the bj value, directly writing a script, and then controlling the charging pile by the adaptation module according to the control instruction.
The control center also comprises a charging pile grouping module used for determining the charging pile grouping number to be N; different modulation techniques are independently adopted for different charging pile groups according to the channel quality, and the adaptive module can carry out correct space-frequency decoding on each group; for different charging piles, in each transmission time interval, obtaining channel quality estimation of each subcarrier channel from each adaptation module to the charging pile by using a reference signal; aiming at the u charging pile, calculating an AWGN channel equivalent SNR value corresponding to each subcarrier group of each adaptation module through channel estimation, and using the SNRi,p,uRepresenting the equivalent SNR value of the ith subcarrier group of the ith adaptation module obtained by the u charging pile, i is 1,2, M, P is 1, Pu(ii) a Calculating the channel quality SNR of each i adaptation modules corresponding to the u charging pile by adopting an exponential effective SNR methodi,u(ii) a For the u charging pile, comparing SNR of M adapting modulesi,uSorted from large to small and every M/N SNRs from large to smalli,uThe corresponding charging piles are divided into 1 group.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (2)

1. A charging pile management method based on the Internet of things is characterized by comprising the following steps:
s1, a user makes an appointment for an idle charging pile nearby;
s2, receiving user reservation information by the charging pile, matching, sending a receipt to the user after matching is successful, and connecting and charging the charging pile by the user according to the reserved time;
s3, detecting the state of the automobile battery in real time by the charging pile in the charging process, and adjusting a charging mode according to the state of the battery;
s4, after charging is completed, disconnecting the charging pile from the automobile, and enabling the adaptive module to acquire data of the charging pile and transmit the data to the cloud storage module for storage;
s5, the control center calls the data of the charging pile from a cloud storage module and generates a control instruction for controlling the idle running state of the charging pile;
s6, transmitting the control instruction to an adaptation module corresponding to the charging pile, wherein the adaptation module controls the idle running state of the charging pile according to the control instruction; the charging mode in the step S3 includes a fast charging mode and a normal mode, the fast charging mode is set before the battery charge of the electric vehicle reaches 60% of the charge value, and the normal mode is switched to when the battery charge of the electric vehicle reaches 60% of the charge value; in the step S3, when the battery of the electric vehicle is charged to reach 100% of the electric quantity value, the charging pile automatically cuts off the charging current to stop charging, and sends the charging completion information to the user; in the step S5, the control center calls the data of the charging pile from the cloud storage module, and determines whether the data of the corresponding charging pile is within a data threshold according to a pre-stored data threshold, if not, it determines that the charging pile is in failure, and a control instruction is to close the charging pile, and if the data is within the data threshold, the control instruction is to continue to watch; the S6 includes the steps of:
s61, before control, calling a control instruction script for initialization, and constructing a control instruction script parser, wherein the script parser is used for storing the serial number of the charging pile, the serial number of the adaptation module, the number of the charging piles, the register value and the address value of the adaptation module;
s62, the control center issues control parameters to the script, the script makes fixed judgment on the register address of the adaptation module, when the register address is judged to belong to the adaptation module corresponding to the charging pile to be controlled, the charging pile is controlled, meanwhile, the algorithm is triggered to enter a script calculation flow function, the rest of idle charging piles are calculated, the register value and the address value of the adaptation module corresponding to the last controlled charging pile are obtained from a pre-constructed script resolver, the register value of the adaptation module corresponding to the charging pile to be controlled is calculated, and by analogy, the register value sj of the adaptation module corresponding to the charging pile to be controlled is also consistent, repeatedly calculated, updated and repeatedly written in until all the idle charging piles are controlled;
S63:
Figure FDA0002272574820000021
wherein sj is an adaptation module register value corresponding to the charging pile to be controlled, sc is the number of the charging piles to be controlled, mc is a rounding process on a calculated result, dj is an adaptation module register value corresponding to the currently controlled charging pile, bj is an adaptation module register value corresponding to the charging pile controlled in a previous fixed time period, bc is the number of the charging piles controlled in the previous fixed time period, and xc is the number of the charging piles controlled in a next fixed time period;
s64, when the sj value is larger than the bj value, the control fails to exit; when the sj value is equal to the bj value, subtracting 1 from the sj value, processing and writing the sj value into a script, and then controlling the charging pile by the adaptation module according to the control instruction script; and when the sj value is smaller than the bj value, directly writing a script, and then controlling the charging pile by the adaptation module according to the control instruction.
2. The internet of things-based charging pile management method according to claim 1, wherein the step of acquiring the data of the charging pile by the adaptation module in the S4 comprises the following steps:
s41: determining the grouping number of the charging piles to be N;
s42: different modulation techniques are independently adopted for different charging pile groups according to the channel quality, and the adaptive module can carry out correct space-frequency decoding on each group;
s43: for different charging piles, in each transmission time interval, obtaining channel quality estimation of each subcarrier channel from each adaptation module to the charging pile by using a reference signal;
s44: aiming at the u charging pile, calculating an AWGN channel equivalent SNR value corresponding to each subcarrier group of each adaptation module through channel estimation, and using the SNRi,p,uRepresenting the equivalent SNR value of the ith subcarrier group of the ith adaptation module obtained by the u charging pile, i is 1,2, … M, P is 1, …, Pu；
S45: calculating the u charging pile pair by adopting an index effective SNR methodChannel quality SNR for each i adaptation modulesi,u；
S46: for the u charging pile, comparing SNR of M adapting modulesi,uSorted from large to small and every M/N SNRs from large to smalli,uThe corresponding charging piles are divided into 1 group.
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