Statistical method for charging pile demands

Abstract

The invention discloses a charging pile demand statistical method, and relates to the technical field of charging piles, the charging pile demand statistical method is mainly composed of a weighing module, a data statistical module, a data reporting module and a data analysis module, the cost control advantage of the charging pile demand statistical method is remarkable, the low-cost weighing module is adopted, and the early-stage investment is reduced; the system is simple to realize and easy to maintain, all modules have clear division of labor and work cooperatively, the technical threshold and maintenance cost are reduced, and the system is ensured to be stable and reliable; the charging pile layout is optimized, the use efficiency is improved, requirements can be accurately counted, the number of the charging piles is scientifically adjusted, and the waiting time of a user is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of charging piles, and particularly to a method for statistically analyzing the demand for charging piles. Background Art

[0002] With the popularization of electric vehicles, the demand for charging piles is increasing day by day. However, there are still many problems in the deployment and demand statistics of charging piles at present.

[0003] Most operators only refer to the density of people flow and the degree of commercial prosperity when estimating the demand for charging piles, and do not make precise deployments based on the actual charging demand. Most of the existing technologies rely on model prediction methods or judge the market demand based on the current utilization rate of charging piles. This method lacks an accurate grasp of the actual situation. At the same time, the device and equipment costs for collecting charging pile evaluations are high, and it is difficult to widely promote in actual applications, resulting in an unreasonable layout of charging piles. There is an oversupply of charging piles in some areas, while there is a serious shortage in some areas, greatly reducing the utilization rate of charging piles and unable to meet the charging needs of users. Summary of the Invention

[0004] The purpose of the present invention is to solve the deficiencies in the prior art and propose a method for statistically analyzing the demand for charging piles.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions:

[0006] A method for statistically analyzing the demand for charging piles, including:

[0007] Weighing module: As an independent data acquisition unit, when an object approaches the charging pile and passes through the weighing module, the weighing module will collect the weight signal of the object. The module internally integrates an amplifier, an A / D converter, and a microprocessor, which can proportionally convert the weight signal into an electrical signal and process it to obtain the weight of the object. When it is detected that the weight of the object is greater than a pre-set threshold, the system will default that the object is a vehicle with a charging demand. For example, when the threshold is set to 1000 kg, if the weight of the object passing through the weighing module exceeds this value, it is determined as a vehicle that may need to be charged.

[0008] Data Statistics Module: This module is integrated on the charging pile and is responsible for storing the number of vehicles with charging requirements obtained by the weighing module. The database storing the data also contains various key information, such as time (accurate to seconds), vehicle speed, charging pile ID, current charging status of the charging pile, remaining power, availability, parking space occupancy, whether there is a fault, energy replenishment status, location of the charging pile, and charging pile station number, etc. Considering the limited storage space of the charging pile, the database only retains the latest 500M of data and will automatically delete old data to ensure storage efficiency. At 0:00 every night, the data statistics module will start the statistical program, count the number of vehicles with charging requirements within every half hour of the day, and send the summary data of the day to the data reporting module.

[0009] Data Reporting Module: Also set on the charging pile, it has two functions: regular reporting and special reporting. After the data statistics module completes the daily data statistics, the data reporting module will automatically send the statistical results to the background of the charging pile operator. If within a certain period, the data reporting module monitors that the number of vehicles with charging requirements has increased abnormally, it will immediately send an alarm message to the operator's background separately. In addition, when the operator's background needs to obtain the original data for a specific period, it can send a request to the data reporting module. The data reporting module will query and send the corresponding original data according to the request and can also provide the corresponding data according to the specific query requirements of the operator's background.

[0010] Data Analysis Module: This module is located in the operator's background and is built by the operator according to its own operation situation, including an analysis system and professional analysts. The data analysis module can analyze and judge whether more charging piles need to be added in the area based on the number of vehicles with charging requirements near each charging pile; judge whether charging piles need to be reduced by monitoring the charging utilization of the charging piles; and can also combine the charging status of the charging piles and the density of vehicles with charging requirements to judge whether there is a fault in the charging piles. For example, if the density of vehicles with charging requirements near a certain charging pile is large, but the charging pile has been unused for a long time, the data analysis module can suspect that the charging pile may be damaged. At the same time, this module can also comprehensively analyze the data of multiple charging piles and multiple charging stations, and use big data analysis technology to deeply explore information such as the demand distribution of charging piles and users' usage habits, so as to discover potential business needs.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0012] The present invention has significant cost control advantages. It adopts a low-cost weighing module to reduce the upfront investment; the system is simple to implement and easy to maintain. Each module has a clear division of labor and works collaboratively, reducing the technical threshold and maintenance cost, and ensuring the stability and reliability of the system; it performs excellently in optimizing the layout of charging piles and improving the usage efficiency. It can accurately count the demand, scientifically adjust the number of charging piles, and reduce the waiting time of users. Brief Description of the Drawings

[0013] Figure 1 This is the system block diagram of the present invention.

[0014] In the figure:

[0015] 100, weighing module; 200, data statistics module; 300, data reporting module; 400, data analysis module. Detailed Embodiments

[0016] The technical solution of the present invention will be further described below in conjunction with the drawings and specific embodiments.

[0017] Embodiment 1

[0018] Referring to the appendix Figure 1 This solution mainly consists of a weighing module 100, a data statistics module 200, a data reporting module 300, and a data analysis module 400.

[0019] Working process of the weighing module 100: When an electric vehicle approaches the charging pile, the vehicle will pass through the weighing module 100. The weighing module 100 starts to collect weight signals, processes them internally to obtain the vehicle weight. If the vehicle weight exceeds the set threshold, such as 1000 kilograms, the weighing module 100 will transmit the vehicle information to the data statistics module 200.

[0020] Operation of the data statistics module 200: The data statistics module 200 receives the information transmitted by the weighing module 100, stores the number of vehicles with charging requirements and related data in the database. At 0:00 every day, the data statistics module 200 statistically analyzes the number of vehicles within every half hour of the day according to the preset program. For example, it is found that there are 8 vehicles with charging requirements from 9:00 to 9:30 in the morning. After summarizing and sorting out this data, it is sent to the data reporting module 300.

[0021] Execution of the data reporting module 300: After the data statistics module 200 completes data summarization, the data reporting module 300 sends the statistical results to the operator's background within the specified time. Suppose that during the period from 4:00 to 5:00 in the afternoon on a certain day, the number of vehicles with charging requirements is 60% more than the same period of usual. The data reporting module 300 will immediately send an alarm message to the operator's background. When the operator's background requests to query the original data within a certain week, the data reporting module 300 queries the database according to the requested time period and sends the corresponding original data to the operator's background.

[0022] Application of the data analysis module 400: The data analysis module 400 in the operator's background receives the data sent by the data reporting module 300, and analysts use the analysis system to conduct data analysis. If there are a large number of vehicles queuing for charging at a certain charging pile every night from 7:00 to 9:00 within a week, the data analysis module 400 determines that more charging piles are needed in this area; if the utilization rate of a certain charging pile is lower than 15% for a consecutive week, then consider reducing this charging pile.

[0023] Through comprehensive analysis of the data of multiple charging piles and stations, the charging habit differences between weekdays and weekends of users are mined, as well as the peak charging demand periods in different regions, providing a basis for the operator to adjust the operation strategy.

[0024] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A statistical method for charging pile demand, characterized in that: include: The weighing module is used to collect the weight signal of the object close to the charging pile and convert the weight signal into an electrical signal. After processing, the weight of the object is obtained. When the weight of the object is greater than the preset threshold, it is determined to be a vehicle that needs charging; The data statistics module is integrated on the charging pile and is used to store the number of vehicles with charging demand obtained by the weighing module, as well as the time, speed, charging pile ID, current charging status of the charging pile, remaining power, availability, parking space occupancy, failure, charging status, charging pile location, charging pile station number and other data. The database only retains the latest 500M data. At 0:00 every night, the number of vehicles with charging demand every half hour of the day is counted and summarized and sent to the data reporting module. The data reporting module is integrated on the charging pile and is used to regularly report the data summarized by the data statistics module to the operator's backend. It sends an alarm message when an abnormal number of charging vehicles is detected, and sends the original data according to the operator's backend request. The data analysis module is located in the operator's backend and is used to analyze and determine whether it is necessary to increase or decrease the number of charging piles, and whether the charging piles are faulty based on information such as the number of charging vehicles near each charging pile, charging utilization, charging status, and vehicle density.

2. A statistical method for charging pile demand according to claim 1, characterized in that: The weighing module contains an amplifier, an A / D converter and a microprocessor for processing the weight signal.

3. The statistical method for charging pile demand according to claim 1, characterized in that: The special reporting function of the data reporting module includes sending an alarm message to the operator's backend when the number of vehicles in need of charging increases by more than a preset ratio in a certain time period compared with the same period in normal times.

4. The statistical method for charging pile demand according to claim 1, characterized in that: The data analysis module uses a big data analysis method to perform a comprehensive analysis on the data of multiple charging piles and multiple charging stations.

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