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Charging facility utilization rate prediction model establishment method and device, equipment and medium

A predictive model and technology of charging facilities, applied in the field of big data analysis, can solve the problems of charging service capacity and operating efficiency of charging facilities without taking into account the location factors of charging facilities, and achieve the effect of setting balance and improving utilization rate

Pending Publication Date: 2022-03-11
SHANGHAI PUDONG DEVELOPMENT BANK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the above analysis, the location factors of the charging facilities and the charging service capabilities and operating efficiency of the charging facilities themselves are not taken into account. The analysis results have certain limitations on the management and construction of charging facilities.

Method used

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  • Charging facility utilization rate prediction model establishment method and device, equipment and medium
  • Charging facility utilization rate prediction model establishment method and device, equipment and medium
  • Charging facility utilization rate prediction model establishment method and device, equipment and medium

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Embodiment 1

[0028] figure 1 It is a flow chart of a method for establishing a charging facility utilization prediction model provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where charging station utilization is analyzed based on the deployment of charging facilities. The system can be realized by means of software and / or hardware, and integrated in computer equipment with application development function.

[0029] Such as figure 1 As shown, the method for establishing the charging facility utilization prediction model includes the following steps:

[0030] S110. Obtain location information and configuration information of each charging station in a preset area, and establish a complex network with each charging station as a node based on the location information and the configuration information.

[0031] Among them, the preset area refers to the area occupied by the area that needs to analyze the deployment of the charging station and t...

Embodiment 2

[0046] image 3 It is a flowchart of a method for establishing a charging facility utilization prediction model provided by Embodiment 2 of the present invention. On the basis of the above embodiments, it further describes the use of the charging facility utilization prediction model to predict the charging station utilization, and based on the prediction The results give recommendations for charging station deployment.

[0047] like image 3 As shown, the establishment method of charging facility utilization prediction model includes:

[0048] S210. Acquire location information and configuration information of each charging station in a preset area, and establish a complex network with each charging station as a node based on the location information and the configuration information.

[0049] Among them, the location information refers to the geographic location of the corresponding charging station in the preset area, and the road conditions around the location point, for...

Embodiment 3

[0067] Figure 4 The structural diagram of the device for establishing the charging facility utilization prediction model provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation of analyzing the charging station utilization rate based on the deployment of charging facilities. The device can be composed of software and / or hardware It is implemented in a manner and integrated in computer equipment with application development functions.

[0068] Such as Figure 4 As shown, the device for establishing a charging facility utilization prediction model includes: a charging station network establishment module 310 , a utilization prediction model trial module 320 and a utilization prediction model determination module 330 .

[0069] Wherein, the charging station network establishment module 310 is configured to obtain the location information and configuration information of each charging station in a preset area, and establish a complex net...

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Abstract

The embodiment of the invention discloses a charging facility utilization rate prediction model establishment method and device, equipment and a medium, and the method comprises the steps: obtaining the position and configuration information of each charging station in a preset region, and building a complex network employing each charging station as a node; according to the complex network, obtaining a node degree, a clustering coefficient and an intermediary coefficient index of each node, completing quantification of geographic position parameters, and inputting configuration information such as traffic flow density, charging condition and historical utilization rate after fuzzy processing into a multi-layer fuzzy logic prediction model to obtain a utilization rate prediction result of each node in a preset time period; and according to the utilization rate prediction result, optimizing the charging facility network, adjusting model parameters, and obtaining a target charging facility utilization rate prediction model. According to the technical scheme of the embodiment, multiple factors such as the position of the charging facility and the charging efficiency are comprehensively considered, the utilization rate of charging setting is evaluated and predicted, the setting of the charging facility is more balanced, and the utilization rate of the charging facility is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of big data analysis, and in particular to a method, device, equipment and medium for establishing a charging facility utilization prediction model. Background technique [0002] In the process of management and construction of charging facilities, it is necessary to evaluate and predict the utilization rate of charging stations. To avoid the unreasonable deployment of charging facilities that will cause users "mileage anxiety", long queues and inconvenient charging in areas with dense traffic, and the travel time cannot be guaranteed; or, the utilization rate of charging stations is low, Cause a waste of charging resources. [0003] In the prior art, the utilization rate of charging facilities is mostly studied through the composite curve method of power analysis network efficiency, or the analytic hierarchy process is used to determine the deployment location of charging faciliti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q50/06G06N7/02
CPCG06Q10/04G06Q30/0202G06Q50/06G06N7/02
Inventor 许献元崔金鑫王金水贾航辉董娅娅
Owner SHANGHAI PUDONG DEVELOPMENT BANK