CN-121989733-A - Intelligent control platform and method for service area

CN121989733ACN 121989733 ACN121989733 ACN 121989733ACN-121989733-A

Abstract

The invention provides a digital intelligent management and control platform and a digital intelligent management and control method for service areas, which belong to the technical field of data management and particularly comprise the steps of dividing charging piles into different combinations by using the types of the charging piles, determining the identification reliable combinations in the combinations by using the distribution data of the charging piles in different identification reliable service areas in the combinations, determining the analysis processing strategy of the operation data of the charging piles in the service areas based on the distribution data of the charging piles in the identification reliable service areas in the identification reliable combinations in the various service areas, determining the use suspected abnormal data of the charging piles in the combinations in different service areas based on the analysis processing strategy, and determining the intelligent management and control method of the charging piles based on the use suspected abnormal data and the identification reliable service areas in the service areas.

Inventors

HU LINGBIN
TENG ZHENYU
XU GUOJUN
MA ENZE
WANG MIAOJIANG

Assignees

浙江省商业集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260408

Claims (10)

1. The intelligent control method for the service area is characterized by comprising the following steps: Determining overlapping data of using time periods of different charging piles in a service area according to using data of the charging piles in the service area, and determining the reliable service area in the service area based on the overlapping data; Dividing the charging piles into different combinations by using the types of the charging piles, determining the identification reliable combinations in the combinations according to the distribution data of the charging piles in the combinations in different identification reliable service areas, and determining the analysis processing strategy of the operation data of the charging piles in the service areas based on the distribution data of the charging piles in the identification reliable combinations in each service area and the distribution data of the charging piles in the same combination in the identification reliable service areas; And determining the use suspected abnormal data of the charging piles in the combination in different service areas based on the analysis and processing strategy, and determining an intelligent management and control method of the charging piles based on the use suspected abnormal data and the identification reliable service areas in the service areas.
2. The intelligent management and control method for service areas according to claim 1, wherein the usage data of the charging piles includes usage periods of the charging piles and durations of different usage periods.
3. The digital intelligent management and control method for a service area according to claim 1, wherein overlapping data of usage periods of the charging piles are determined according to charging pile data in a usage state in different periods.
4. The method for intelligent management of service areas according to claim 1, wherein the method for identifying reliable service areas among the service areas is: determining the number of charging piles in a use state in different time periods according to the overlapping data of the use time periods of different charging piles; based on the number of charging piles in a use state in different time periods, determining the time period when all the charging piles in the service area are in the use state, and taking the time period as a coincident use time period; And determining whether the service area is a reliable service area or not according to the coincident use period and the number of the charging piles in the idle state in different periods.
5. The intelligent management and control method for service areas according to claim 4, wherein if there is no coincident use period in the service area, there are charging piles which are not in use in different periods, so it is difficult to determine whether the charging piles can be reliably operated by using data, and thus it is determined that the service area does not belong to an identification reliable service area.
6. The intelligent management and control method for service areas according to claim 1, wherein the charging piles are divided into different combinations, and specifically comprises: the charging piles of the same model are divided into the same combination.
7. The method for intelligent management of service areas according to claim 1, wherein the method for identifying reliable combinations among the combinations is: Determining the identification reliable service areas of the charging piles in the combination according to the distribution data of the charging piles in the combination in different identification reliable service areas, and taking the identification reliable service areas of the charging piles in the combination as available identification service areas; taking the charging piles in the combination as reliable charging piles for identification, wherein the charging piles are positioned in an available identification service area; And determining whether the combination is a reliable identification combination according to the reliable identification charging piles in the combination and the reliable identification charging pile data in different available identification service areas.
8. The intelligent management method for service areas according to claim 7, wherein if there is no identification reliable charging pile in the combination, it is determined that the combination does not belong to the identification reliable combination.
9. The intelligent management and control method for service areas according to claim 1, wherein the method for determining the intelligent management and control method for the charging pile is as follows: determining the number of times that charging curves in the same model of vehicle are inconsistent with each other in the combination of the charging pile and the charging pile based on the suspected abnormal data, and taking the number of times as the number of consistent deviations; according to the charging pile data in the combination where the charging pile is located, determining a service area which is not in the identification reliable service area in the combination where the charging pile is located, and taking the service area which is not in the identification reliable service area in the combination as other service areas; and determining the intelligent management and control method of the charging pile based on the combination of the charging pile and consistent deviation times and other service area data in vehicles of different models.
10. A digital intelligent control platform for a service area, adopting the digital intelligent control method for the service area according to any one of claims 1-9, comprising the following steps: The reliable service area acquisition module, the analysis strategy determination module and the management and control processing module; Wherein the reliable service area acquisition module is responsible for determining an identified reliable service area in the service areas; the analysis strategy determining module is responsible for determining an analysis processing strategy of the operation data of the charging pile in the service area; And the management and control processing module is responsible for determining the intelligent management and control method of the charging pile.

Description

Intelligent control platform and method for service area Technical Field The invention belongs to the technical field of data management, and particularly relates to a digital intelligent management and control platform and method for a service area. Background With the popularization of new energy automobiles, the expressway service area is taken as an important node for long-distance travel, and the operation and management of the charging piles face unprecedented challenges. The traditional service area management mode and the charging pile operation mode are difficult to meet the modern requirements of high efficiency, intelligence and collaboration. In the prior art, the monitoring device of the charging pile is often utilized to monitor the running state, and similar technical schemes are provided in patent application CN202511121281.0, a dynamic data fusion-based electric vehicle charging scheduling method, a dynamic data fusion-based electric vehicle charging scheduling system and a storage medium, CN202510828498.9, a power demand-based charging pile screening and sequencing method and the like, but the following defects are overcome: The charging pile is in an idle state, on one hand, probably due to self-fault, and on the other hand, probably due to the fact that no charging requirement exists, so that the reliability degree of abnormality identification processing is guaranteed to be a technical problem to be solved urgently according to the use data of the charging pile in a service area, namely, according to the idle condition in the use process of the charging pile, the operation and maintenance management strategies of the charging pile in different service areas are determined. Therefore, a need exists for a digital intelligent management platform and method for service areas. Disclosure of Invention In order to achieve the purpose of the invention, the invention adopts the following technical scheme: specifically, the application provides a digital intelligent control method for a service area, which specifically comprises the following steps: S1, determining overlapping data of using periods of different charging piles in a service area according to using data of the charging piles in the service area, and determining a reliable service area identified in the service area based on the overlapping data; S2, dividing the charging piles into different combinations by using the types of the charging piles, determining the identification reliable combinations in the combinations according to the distribution data of the charging piles in the combinations in different identification reliable service areas, and determining the analysis processing strategy of the operation data of the charging piles in the service areas based on the distribution data of the charging piles in the identification reliable combinations in each service area and the distribution data of the charging piles in the same combination in the identification reliable service areas; And S3, determining the suspected abnormal data of the charging piles in the combination in different service areas based on the analysis and processing strategy, and determining an intelligent management and control method of the charging piles based on the suspected abnormal data of the charging piles and the identified reliable service areas in the service areas. The invention has the beneficial effects that: The overlapping data of the using time periods of different charging piles in the service area are used for determining the identification reliable service area in the service area, and the system reversely pushes the whole demand heat of the service area by analyzing the appearance mode of the extreme saturation state that all the charging piles are occupied at the same time. In a service area with continuous and vigorous demand, if any charging pile is idle for a long time, the fault probability is extremely high, the misjudgment cost for carrying out active operation and maintenance on the charging pile is low, the value is high, and further, the screening and accurate operation and maintenance management on the reliable service area are realized. Based on the suspected abnormal data and the reliable service area identified in the service area, the intelligent control method of the charging pile is determined, and the abnormal condition that the charging curves are inconsistent among a plurality of different vehicle types is fully considered, which may be caused by the fault (such as the power module problem) of the charging pile, but may also be caused by the fact that the vehicle types have specificity in design or configuration, so that the charging curves have a higher normal fluctuation range. In order to distinguish the two possibilities, according to the severity degree of curve inconsistency and the number of service areas outside the identification reliable service areas, which are provided with the charging piles, the management