CN117236507B - Urban public transportation green intelligent energy management system, method and storage medium - Google Patents
Urban public transportation green intelligent energy management system, method and storage medium Download PDFInfo
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Abstract
The invention discloses a city public transportation green intelligent energy management system, a method and a storage medium, comprising an information acquisition layer, an energy information management layer and a cloud platform service layer; the information acquisition layer detects and acquires charging information, battery condition information and operation information of each secondary energy unit in real time and transmits the charging information, the battery condition information and the operation information; the energy information management layer combines and processes and transmits the information of each secondary energy unit in real time, performs optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputs a charging instruction and an alarm instruction in real time; the cloud platform service layer receives the processed data, calculates comprehensive parameters and operation indexes of each secondary energy using unit, outputs and displays the comprehensive parameters and operation indexes, and simultaneously sends the comprehensive parameters and operation indexes to the energy management personnel; and receiving the charging instruction and the alarm instruction, outputting, displaying and sending a secondary energy consumption unit, thereby realizing the intellectualization, integration and graphics of charging management, and the overall integration and dynamic management of an energy management system, and reducing the average hundred kilometers of electricity consumption, ten thousand times of unit consumption and carbon emission.
Description
Technical Field
The invention relates to the technical field of charge information monitoring and management, in particular to a system, a method and a storage medium for urban public transportation green intelligent energy management.
Background
At present, some pure electric buses establish an energy management system and monitor the energy consumption of running of the pure electric buses.
However, the conventional energy management system has some problems:
First, the data statistics of conventional systems are coarse and react untimely. Only the energy consumption data and the driving mileage of the vehicle are collected, factors such as the driving speed and the driving route of the vehicle are ignored, in addition, most of the systems perform offline processing by uploading the data regularly, and the real-time monitoring and response capability is lacked, so that when the system faces a complex situation, the system cannot provide effective countermeasures in time, and the energy-saving effect is affected;
secondly, the traditional energy management system has the defects of lack of depth and insufficient visualization in data analysis, the system only provides simple data report or statistical chart, has lack of intuitiveness and interactivity, and cannot flexibly process and operate data; in the aspect of data analysis, only simple statistics and analysis can be performed, more detailed excavation and deep analysis are difficult to perform, and detailed analysis on specific time periods, road sections, road conditions or vehicle types cannot be performed;
Finally, the energy management and energy-saving control of the traditional system are disjointed, the system only collects statistical data, can not effectively interact with the energy consumption terminal, and is limited to monitoring and can not be controlled.
Therefore, how to solve the problems of imprecise data statistics and untimely response, and improve the depth of data analysis and the visual display capability so as to realize interaction and management and control with the energy consumption terminal is a problem which needs to be solved by the technicians in the field.
Disclosure of Invention
In view of the above, the present invention provides a system, a method and a storage medium for green and intelligent energy management of urban buses, which solve the problems mentioned in the background art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the urban public transportation green intelligent energy management system comprises an information acquisition layer, an energy information management layer and a cloud platform service layer;
the information acquisition layer is used for detecting and acquiring charging information, battery condition information and operation information of each secondary energy unit in real time and transmitting the charging information, the battery condition information and the operation information to the energy information management layer;
The energy information management layer is used for combining and processing the charging information, the battery condition information and the operation information of each secondary energy unit in real time, sending the processed data to the cloud platform service layer in real time, carrying out optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputting a charging instruction and an alarm instruction to the cloud platform service layer in real time;
The cloud platform service layer is used for receiving the processed data of each secondary energy unit in real time, calculating the comprehensive parameters and operation indexes of each secondary energy unit, outputting and displaying the comprehensive parameters and operation indexes, and simultaneously sending the comprehensive parameters and operation indexes to energy management personnel for use; and receiving the charging instruction and the alarm instruction, outputting and displaying, and generating an instruction and sending the instruction to the secondary energy using unit.
Preferably, the information acquisition layer comprises a real-time detection module and a supplementary recording module;
the real-time detection module is used for detecting and collecting charging information, battery condition information and operation information of each secondary energy unit in real time and sending the charging information, the battery condition information and the operation information to the energy information management layer;
The supplementary recording module is used for supplementary recording the charging information and the battery condition information of each secondary energy unit which do not enter the real-time detection module, and sending the charging information and the battery condition information to the energy information management layer.
Preferably, the charging information comprises a start charging time, an end charging time, an electric charge, an electric unit price, a charging amount, a charging license plate number and a charging ID;
the battery condition information comprises a battery capacity percentage before charging and a battery capacity percentage after charging;
the operating information includes passenger capacity, route, operating time and mileage.
Preferably, the energy information management layer comprises an information processing module, an abnormality alarming module and a charging planning module;
The information data processing module is used for combining and processing the data acquired by the information acquisition layer in real time to obtain the real-time energy consumption of the secondary energy utilization unit;
The abnormal alarm module is used for carrying out historical comparison on the energy consumption of the same secondary energy unit according to the real-time energy consumption of the secondary energy unit processed by the information processing module, carrying out transverse comparison on the energy consumption of different secondary energy units, setting an early warning rule by utilizing an algorithm model, displaying that the energy consumption of the secondary energy unit is abnormal by the algorithm, and sending an alarm instruction to the cloud platform service layer by the abnormal alarm module;
The charging planning module is used for receiving the battery information conditions collected by the secondary energy consumption unit real-time energy consumption and information acquisition layer after being processed by the information processing module in real time, establishing a charging system model by a charging quantity prediction algorithm and an energy consumption prediction algorithm and combining self constraint conditions of equipment, carrying out dynamic matching of supply and demand functions, solving an optimal charging scheme of the whole charging system by an artificial intelligent algorithm, realizing automatic scheduling, outputting a charging instruction to a cloud platform service layer in real time, providing optimal charging planning of each secondary energy unit, and realizing data closed loop and automatic optimization between the secondary energy unit and the charging planning module.
Preferably, the cloud platform service layer comprises an energy consumption monitoring module, an instruction receiving and transmitting module and a display module, and all the modules are electrically connected;
the energy consumption monitoring module is used for receiving the secondary energy consumption processed by the information processing module in real time and the charging information and the running information collected by the information acquisition layer, forming a carbon emission curve and a peak Gu Ping charge amount ratio curve through a sliding window algorithm, calculating comprehensive parameters and running indexes by combining a setting algorithm, outputting the comprehensive parameters and the running indexes to the display module, and simultaneously sending the comprehensive parameters and the running indexes to an energy manager for use;
The instruction receiving and transmitting module is used for receiving the charging instruction and the alarm instruction signal sent by the abnormal alarm module and the charging planning module, outputting the charging instruction and the alarm instruction signal to the display module and outputting the instruction to each secondary energy using unit;
the display module is used for displaying operation information, charging data, battery condition information, comprehensive parameters, operation indexes, charging instructions and alarm instructions of each secondary energy unit.
Preferably, the comprehensive parameters comprise energy consumption change conditions, energy consumption longitudinal and transverse comparison conditions, carbon emission change conditions, peak Gu Ping charging quantity occupation ratio and average hundred kilometer electricity consumption, and the operation indexes comprise hundred kilometer electricity consumption and ten thousand times unit consumption of different time periods of the same secondary energy consumption unit and energy consumption comparison of different secondary energy consumption units of the same route.
Preferably, the information acquisition layer is connected with the energy information management layer through an information acquisition layer data interface; the energy information management layer is connected with the cloud platform service layer through an internal private chain; the cloud platform service layer is connected with the secondary energy units through a platform service layer data interface.
Preferably, the information acquisition layer data interface is provided by a third party charging company providing charging service, and the third party charging company provides an open interface address for the information acquisition layer data interface and provides data access in a data message format; the cloud platform service layer data interface is provided by a third party operator, which provides an open interface address for the cloud platform service layer data interface and provides data access in a data message format.
A city public transportation green intelligent energy management method is based on the city public transportation green intelligent energy management system, which comprises the following steps:
S1, detecting and collecting charging information, battery condition information and operation information of each secondary energy unit in real time;
S2, combining and processing the charging information, the battery condition information and the operation information of each secondary energy consumption unit in real time, carrying out optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputting a charging instruction and an alarm instruction in real time;
s3, receiving the processed data of each secondary energy using unit in real time, calculating the comprehensive parameters and operation indexes of each secondary energy using unit, outputting and displaying, and simultaneously sending to energy management personnel for use; and receiving the charging instruction and the alarm instruction, outputting and displaying, and generating an instruction and sending the instruction to the secondary energy using unit.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method for urban public transportation green and intelligent energy management.
Compared with the prior art, the invention discloses and provides a system, a method and a storage medium for urban public transportation green intelligent energy management, which are characterized in that an information acquisition layer is used for transmitting acquired charging information, battery condition information and operation information to an energy information management layer, the energy information management layer processes and calculates data and transmits the processed and calculated data to a cloud platform service layer, the cloud platform service layer receives the processed data, and the processed data is converted into a visual interface for energy management personnel and related departments to check at any time so as to know the energy consumption condition and charging condition of each secondary energy unit at any time; in addition, the energy information management layer sends abnormal alarm information and charging planning information to the cloud platform service layer according to the received data, and sends instructions to the secondary energy using units through the cloud platform service layer, so that the intellectualization, integration and graphics of charging management are realized, the overall integration and dynamic management of the energy management system are realized, and the aims of reducing average hundred kilometers of electricity consumption, ten thousands of people of unit consumption and carbon emission are fulfilled.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the overall structure of an urban public transportation green intelligent energy management system provided by the invention;
Fig. 2 is a schematic flow chart of an urban public transportation green intelligent energy management system provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a green intelligent energy management system for urban buses, which comprises an information acquisition layer, an energy information management layer and a cloud platform service layer, as shown in fig. 1 and 2;
the information acquisition layer is used for detecting and acquiring charging information, battery condition information and operation information of each secondary energy unit in real time and transmitting the charging information, the battery condition information and the operation information to the energy information management layer;
The energy information management layer is used for combining and processing the charging information, the battery condition information and the operation information of each secondary energy unit in real time, sending the processed data to the cloud platform service layer in real time, carrying out optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputting a charging instruction and an alarm instruction to the cloud platform service layer in real time;
The cloud platform service layer is used for receiving the processed data of each secondary energy unit in real time, calculating the comprehensive parameters and operation indexes of each secondary energy unit, outputting and displaying the comprehensive parameters and operation indexes, and simultaneously sending the comprehensive parameters and operation indexes to energy management personnel for use; and receiving the charging instruction and the alarm instruction, outputting and displaying, and generating an instruction and sending the instruction to the secondary energy using unit.
In order to further implement the technical scheme, the information acquisition layer comprises a real-time detection module and a complement module;
the real-time detection module is used for detecting and collecting charging information, battery condition information and operation information of each secondary energy unit in real time and sending the charging information, the battery condition information and the operation information to the energy information management layer;
The supplementary recording module is used for supplementary recording the charging information and the battery condition information of each secondary energy unit which do not enter the real-time detection module, and sending the charging information and the battery condition information to the energy information management layer.
In order to further implement the technical scheme, the charging information comprises charging starting time, charging ending time, electric charge, unit price, charging amount, charging license plate number and charging ID;
the battery condition information comprises a battery capacity percentage before charging and a battery capacity percentage after charging;
the operating information includes passenger capacity, route, operating time and mileage.
In order to further implement the technical scheme, the energy information management layer comprises an information processing module, an abnormality alarming module and a charging planning module;
The information data processing module is used for combining and processing the data acquired by the information acquisition layer in real time to obtain the real-time energy consumption of the secondary energy utilization unit;
In this embodiment, the information data processing module processes with a streaming processing technology, which is a technology for dynamic processing, generally abstracts the streaming data processing process into a directed acyclic graph, and provides a capability of fast response and real-time decision;
The abnormal alarm module is used for carrying out historical comparison on the energy consumption of the same secondary energy unit according to the real-time energy consumption of the secondary energy unit processed by the information processing module, carrying out transverse comparison on the energy consumption of different secondary energy units, setting an early warning rule by utilizing an algorithm model, displaying that the energy consumption of the secondary energy unit is abnormal by the algorithm, and sending an alarm instruction to the cloud platform service layer by the abnormal alarm module;
in the embodiment, the abnormal alarm module stores historical alarm data, and energy management personnel and related departments can view and call the historical alarm data through the display module at any time;
The charging planning module is used for receiving the battery information conditions collected by the secondary energy consumption unit real-time energy consumption and information acquisition layer after being processed by the information processing module in real time, establishing a charging system model by a charging quantity prediction algorithm and an energy consumption prediction algorithm and combining self constraint conditions of equipment, carrying out dynamic matching of supply and demand functions, solving an optimal charging scheme of the whole charging system by an artificial intelligent algorithm, realizing automatic scheduling, outputting a charging instruction to a cloud platform service layer in real time, providing optimal charging planning accurate to each secondary energy unit, and realizing data closed loop and automatic optimization between the secondary energy unit and the charging planning module.
In practical application, the energy manager can individually adjust constraint condition parameters according to the time-division line statistical data, so as to adjust charging system models of different time-division lines and routes.
In order to further implement the technical scheme, the cloud platform service layer comprises an energy consumption monitoring module, an instruction receiving and transmitting module and a display module, and the modules are electrically connected;
The energy consumption monitoring module is used for receiving the secondary energy consumption processed by the information processing module in real time and the charging information and the running information collected by the information acquisition layer, forming a carbon emission prediction curve and a peak Gu Ping charging amount duty ratio curve through a sliding window algorithm, calculating comprehensive parameters and running indexes by combining a setting algorithm, outputting the comprehensive parameters and the running indexes to the display module, and simultaneously sending the comprehensive parameters and the running indexes to an energy manager for use;
Specific: maintaining a window with a fixed size through a sliding window algorithm, inputting received data one by one, and calculating according to the data in the window; removing the oldest data, and maintaining the window size; repeating the operation to generate a carbon emission curve and a peak Gu Ping charge amount duty ratio curve based on the real-time data;
wherein, the formula of carbon emission calculation is:
Wherein C is the carbon emission; The accumulated charge amount is the current day of the secondary energy unit, D is the date, I is the number of the secondary energy unit, and Re is the electric power emission factor;
Spike Gu Ping charge amount calculation formula:
In the method, in the process of the invention, The total charge amounts of the peak, the valley, and the normal period, respectively; p (bus, T) is secondary energy unit charging power, T fTgTp is peak, valley, charging time for the normal period, respectively, and I fIgIp is secondary energy unit number for the peak, valley, flat period, respectively;
The energy consumption monitoring module visually displays the real-time energy consumption and charging conditions of each secondary energy consumption unit through the display module, and establishes a real-time standard alignment system of the energy consumption of each secondary energy consumption unit and the national energy consumption standard system by combining with the set constraint conditions;
The instruction receiving and transmitting module is used for receiving the charging instruction and the alarm instruction signal sent by the abnormal alarm module and the charging planning module, outputting the charging instruction and the alarm instruction signal to the display module and outputting the instruction to each secondary energy using unit;
The display module is used for carrying out imaging processing on the received data and displaying the received data, and displaying operation information, charging data, battery condition information, comprehensive parameters, operation indexes, charging instructions and alarm instructions of each secondary energy unit.
In order to further implement the technical scheme, the comprehensive parameters comprise energy consumption change conditions, energy consumption longitudinal and transverse comparison conditions, carbon emission change conditions, peak Gu Ping charging quantity occupation ratio and average hundred kilometer electricity consumption, and the operation indexes comprise hundred kilometer electricity consumption and ten thousand times unit consumption of different time periods of the same secondary energy consumption unit and energy consumption comparison of different secondary energy consumption units of the same route.
In order to further implement the technical scheme, the information acquisition layer is connected with the energy information management layer through an information acquisition layer data interface; the energy information management layer is connected with the cloud platform service layer through an internal private chain; the cloud platform service layer is connected with the secondary energy units through a platform service layer data interface.
In order to further implement the technical scheme, the information acquisition layer data interface is provided by a third party charging company providing charging service, and the third party charging company provides an open interface address for the information acquisition layer data interface and provides data access in a data message format;
The energy information management layer carries out data access through the data interface of the information acquisition layer to realize automatic receiving of data, and particularly, for a third party charging company which does not provide a free open protocol for the system, charging order batch supplementary recording function in the supplementary recording module is adopted, and appointed personnel guide charging order data into the supplementary recording module in real time; the energy information management layer can effectively manage and monitor the energy use condition by receiving and processing the data;
The cloud platform service layer data interface is provided by a third party operator, and the third party operator provides an open interface address for the cloud platform service layer data interface and provides data access in a data message format;
The instruction receiving and transmitting module receives and transmits instructions to each secondary energy using unit through the cloud platform service layer data interface; the cloud platform service layer is connected with the computer terminal, the online webpage terminal APP and the mobile phone APP.
In practical application, a core architecture of the cloud platform service layer adopts a SPRINGMVC, MYABTIS and netFramework combined architecture; the page uses a configurable template framework, and the cloud platform service layer needs to continuously calculate by using data divided and processed by the energy information management system.
A city public transportation green intelligent energy management method is based on a city public transportation green intelligent energy management system, which comprises the following steps:
S1, detecting and collecting charging information, battery condition information and operation information of each secondary energy unit in real time;
S2, combining and processing the charging information, the battery condition information and the operation information of each secondary energy consumption unit in real time, carrying out optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputting a charging instruction and an alarm instruction in real time;
s3, receiving the processed data of each secondary energy using unit in real time, calculating the comprehensive parameters and operation indexes of each secondary energy using unit, outputting and displaying, and simultaneously sending to energy management personnel for use; and receiving the charging instruction and the alarm instruction, outputting and displaying, and generating an instruction and sending the instruction to the secondary energy using unit.
A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method for urban public transportation green intelligent energy management.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The urban public transportation green intelligent energy management system is characterized by comprising an information acquisition layer, an energy information management layer and a cloud platform service layer;
the information acquisition layer is used for detecting and acquiring charging information, battery condition information and operation information of each secondary energy unit in real time and transmitting the charging information, the battery condition information and the operation information to the energy information management layer;
the charging information comprises charging starting time, charging ending time, electric charge, unit price, charging amount, charging license plate number and charging ID;
the battery condition information comprises a battery capacity percentage before charging and a battery capacity percentage after charging;
the operation information comprises passenger capacity, routes, operation time and mileage;
The energy information management layer is used for combining and processing the charging information, the battery condition information and the operation information of each secondary energy unit in real time, sending the processed data to the cloud platform service layer in real time, carrying out optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputting a charging instruction and an alarm instruction to the cloud platform service layer in real time;
The cloud platform service layer is used for receiving the processed data of each secondary energy unit in real time, calculating the comprehensive parameters and operation indexes of each secondary energy unit, outputting and displaying the comprehensive parameters and operation indexes, and simultaneously sending the comprehensive parameters and operation indexes to energy management personnel for use; receiving a charging instruction and an alarm instruction, outputting and displaying, generating an instruction and sending the instruction to a secondary energy using unit;
the energy information management layer comprises an information processing module, an abnormality alarming module and a charging planning module;
The information data processing module is used for combining and processing the data acquired by the information acquisition layer in real time to obtain the real-time energy consumption of the secondary energy utilization unit;
the information data processing module performs dynamic processing by using a stream processing technology, and abstracts a stream data processing process into a directed acyclic graph;
The abnormal alarm module is used for carrying out historical comparison on the energy consumption of the same secondary energy unit according to the real-time energy consumption of the secondary energy unit processed by the information processing module, carrying out transverse comparison on the energy consumption of different secondary energy units, setting an early warning rule by utilizing an algorithm model, displaying that the energy consumption of the secondary energy unit is abnormal by the algorithm, and sending an alarm instruction to the cloud platform service layer by the abnormal alarm module;
The charging planning module is used for receiving the battery information conditions collected by the secondary energy unit real-time energy consumption and information acquisition layer after being processed by the information processing module in real time, establishing a charging system model by a charging quantity prediction algorithm and an energy consumption prediction algorithm and combining self constraint conditions of equipment, carrying out dynamic matching of supply and demand functions, solving an optimal charging scheme of the whole charging system by an artificial intelligent algorithm, realizing automatic scheduling, outputting a charging instruction to a cloud platform service layer in real time, providing optimal charging planning accurate to each secondary energy unit, and realizing data closed loop and automatic optimization between the secondary energy unit and the charging planning module;
the cloud platform service layer comprises an energy consumption monitoring module, an instruction receiving and transmitting module and a display module, wherein the modules are electrically connected;
the energy consumption monitoring module is used for receiving the secondary energy consumption processed by the information processing module in real time and the charging information and the running information collected by the information acquisition layer, forming a carbon emission curve and a peak Gu Ping charge amount ratio curve through a sliding window algorithm, calculating comprehensive parameters and running indexes by combining a setting algorithm, outputting the comprehensive parameters and the running indexes to the display module, and simultaneously sending the comprehensive parameters and the running indexes to an energy manager for use;
Specific: maintaining a window with a fixed size through a sliding window algorithm, inputting received data one by one, and calculating according to the data in the window; removing the oldest data, and maintaining the window size; repeating the operation to generate a carbon emission curve and a peak Gu Ping charge amount duty ratio curve based on the real-time data;
wherein, the formula of carbon emission calculation is:
Wherein C is the carbon emission; The accumulated charge amount is the current day of the secondary energy unit, D is the date, I is the number of the secondary energy unit, and Re is the electric power emission factor;
Spike Gu Ping charge amount calculation formula:
In the method, in the process of the invention, The total charge amounts of the peak, the valley, and the normal period, respectively; p (bus, T) is secondary energy unit charging power, T fTgTp is peak, valley, charging time for the normal period, respectively, and I fIgIp is secondary energy unit number for the peak, valley, flat period, respectively;
The energy consumption monitoring module visually displays the real-time energy consumption and charging conditions of each secondary energy consumption unit through the display module, and establishes a real-time standard alignment system of the energy consumption of each secondary energy consumption unit and the national energy consumption standard system by combining with the set constraint conditions;
The instruction receiving and transmitting module is used for receiving the charging instruction and the alarm instruction signal sent by the abnormal alarm module and the charging planning module, outputting the charging instruction and the alarm instruction signal to the display module and outputting the instruction to each secondary energy using unit;
The display module is used for displaying operation information, charging data, battery condition information, comprehensive parameters, operation indexes, charging instructions and alarm instructions of each secondary energy unit;
The comprehensive parameters comprise energy consumption change conditions, energy consumption longitudinal and transverse comparison conditions, carbon emission change conditions, peak Gu Ping charging quantity ratio and average hundred kilometer electricity consumption, and the operation indexes comprise hundred kilometer electricity consumption and ten thousand times of unit consumption of different time periods of the same secondary energy consumption unit and energy consumption comparison of different secondary energy consumption units of the same route.
2. The urban public transportation green intelligent energy management system according to claim 1, wherein the information acquisition layer comprises a real-time detection module and a supplementary recording module;
the real-time detection module is used for detecting and collecting charging information, battery condition information and operation information of each secondary energy unit in real time and sending the charging information, the battery condition information and the operation information to the energy information management layer;
The supplementary recording module is used for supplementary recording the charging information and the battery condition information of each secondary energy unit which do not enter the real-time detection module, and sending the charging information and the battery condition information to the energy information management layer.
3. The urban public transportation green intelligent energy management system according to claim 1, wherein the information acquisition layer is connected with the energy information management layer through an information acquisition layer data interface; the energy information management layer is connected with the cloud platform service layer through an internal private chain; the cloud platform service layer is connected with the secondary energy units through a platform service layer data interface.
4. The urban public transportation green intelligent energy management system according to claim 3, wherein the information acquisition layer data interface is provided by a third party charging company providing charging service, the third party charging company provides an open interface address for the information acquisition layer data interface, and provides data access in a data message format; the cloud platform service layer data interface is provided by a third party operator, which provides an open interface address for the cloud platform service layer data interface and provides data access in a data message format.
5. A method for managing urban public transportation green intelligent energy, characterized in that the urban public transportation green intelligent energy management system based on any one of claims 1-4 comprises:
S1, detecting and collecting charging information, battery condition information and operation information of each secondary energy unit in real time;
S2, combining and processing the charging information, the battery condition information and the operation information of each secondary energy consumption unit in real time, carrying out optimal charging planning and energy consumption abnormality early warning according to the processed data, and outputting a charging instruction and an alarm instruction in real time;
s3, receiving the processed data of each secondary energy using unit in real time, calculating the comprehensive parameters and operation indexes of each secondary energy using unit, outputting and displaying, and simultaneously sending to energy management personnel for use; and receiving the charging instruction and the alarm instruction, outputting and displaying, and generating an instruction and sending the instruction to the secondary energy using unit.
6. A computer readable storage medium having stored thereon a computer program which when executed by a processor implements a urban bus green wisdom energy management method as defined in claim 5.
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| CN104167751B (en) * | 2014-07-18 | 2016-05-18 | 上海电力学院 | Based on the microgrid economical operation method that charges and discharge storage integrated power station scheduling |
| CN110850297A (en) * | 2019-09-23 | 2020-02-28 | 广东毓秀科技有限公司 | Method for predicting SOH of rail-traffic lithium battery through big data |
| KR102335256B1 (en) * | 2019-11-14 | 2021-12-14 | (주)멥카 | Electric vehicle charger system and method |
| CN113580985A (en) * | 2021-07-20 | 2021-11-02 | 贵安新区配售电有限公司 | Regular polygon preemptive electric vehicle charging circuit and method for distributing power according to needs and charging pile |
| CN114358555A (en) * | 2021-12-28 | 2022-04-15 | 天津凯发电气股份有限公司 | Rail transit wisdom energy management system |
| CN114285063B (en) * | 2022-03-07 | 2022-05-20 | 河北工业大学 | Short-term carbon emission factor-based intelligent electric vehicle carbon-reducing charging method |
| KR102522516B1 (en) * | 2022-11-04 | 2023-04-18 | 서울버스(주) | System and method for managing and charging battery of electric bus efficiently |
| CN116228116A (en) * | 2022-12-01 | 2023-06-06 | 国网信息通信产业集团有限公司 | Comprehensive energy intelligent management and control and application system and implementation method thereof |
| CN116341706A (en) * | 2023-01-13 | 2023-06-27 | 清华大学 | Urban mobile load probability prediction system and method based on comprehensive energy perception |
| CN116502964A (en) * | 2023-02-14 | 2023-07-28 | 国网能源研究院有限公司 | Method and device for monitoring and modeling carbon emission space-time distribution of electric automobile |
| CN116777048A (en) * | 2023-05-17 | 2023-09-19 | 合肥工业大学设计院(集团)有限公司 | Zero-carbon urban and rural public transportation network design and management method based on Internet of things |
| CN116757538A (en) * | 2023-06-20 | 2023-09-15 | 上海创能国瑞新能源科技股份有限公司 | Dynamic assessment system and method for energy efficiency and carbon emission performance of vehicles |
-
2023
- 2023-09-25 CN CN202311241133.3A patent/CN117236507B/en active Active
Non-Patent Citations (2)
| Title |
|---|
| 新能源公交车辆大数据决策支持平台的研究;陈兴强 等;《城市公共交通》;20170331;第25-29页 * |
| 车辆能耗监测平台研究与应用;崔应寿 等;《中国交通信息化》;20150331;第123-126页 * |
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