Electric vehicle charging An electric vehicle (EV) charging station provides charging facilities with different charging rates and costs to the electric vehicles. The charging stations can also be associated with other facilities like cafés and restaurants. Your team is going to be helping to create the technical infrastructure for the charging stations, electric vehicles, and electric vehicle users. As part of this, you will be creating a MySQL database to store this information. The following specifications have been provided to you to assist in your design.Charging stationFor each charging station, the system records its details, that are – the address of the charging station (as street name, street number, suburb, state, postcode), establishment date, the opening hour, and the closing hour (assume that the opening and closing hours are the same for each day of the week for a charging station). Each charging station is also associated with at least one ‘company’ that owns that charging station. A charging station can be jointly owned by multiple companies. Only the companies that manufacture electric vehicles can own charging stations (see ‘Electric vehicle’ section below for details of EV manufacturing company). Not all companies that manufacture EVs own charging stations.Each charging station has at least one charging ‘outlet’ where electric vehicles can plug-in for charging. An outlet of a charging station can be uniquely identified with the charging station’s ID and the outlet’s ID, as ‘charging station ID X, outlet ID Y’. Each outlet has a charging rate in kW (e.g., 72 or 96). There are two types of charging costs associated with each outlet – peak-hour charging cost and off-peak hour charging cost (e.g., peak-hour charging cost 25 cents/kWh and off-peak charging cost 20 cents/kWh). Different outlets of the same charging station can have different peak and off-peak charging costs, but one charging outlet has only one peak-hour charging cost and one off-peak hour charging cost. For each outlet, the system also records whether the outlet is currently occupied or not occupied. The system also stores information about ‘facilities’, if they are associated with any charging station. For each facility, the system stores the type of the facility (e.g., café or restaurant), the opening hour, and the closing hour (assume that the opening and closing hours are the same for each day of the week for a facility, however those hours could be different from the opening/closing hours of a charging station associated with it). A facility can be at most associated with one charging station, while the charging station does not need to be connected to any facility (e.g. a charging station on a very long road in regional Australia) but is connected to at most one facility. A facility can provide discount coupons, which can be used for discounted rates of a ‘charging event’ (see ‘Charging event’ section below for details). For each coupon, the system stores some values of the coupon, which are –the coupon ID, discount value, and expiry date. A coupon can only be issued by one facility and used in at most one charging event.Please show me the entities, relationships and attributes in this paragraph based on how the database is analyzed

Electric vehicle (EV)Each electric vehicle is associated with a unique vehicle identification number (VIN), manufacturer company, model name, year, capacity of the battery (e.g., 60kW). For each manufacturer company - the name of the company, a unique ABN number, and the current CEO’s name are stored. An electric vehicle is manufactured by only one company, while the company can manufacture multiple vehicles. The system stores the company information of only the companies that manufacture at least one EV. Sometimes an EV manufacturing company is owned by a larger EV manufacturing company. One EV manufacturing company can own multiple companies, but one company can be owned by only one other company. Each electric vehicle is registered with only one person. The system stores information about the registered electric vehicles only (not the unregistered vehicles). For each person, the system stores that person’s (unique) driving license number, their name, and one or more phone numbers. One person can have multiple electric vehicles registered with them.Charging eventThe system maintains the information of all charging events – that is, which electric vehicle is charged at which outlet of a charging station using which coupon (if any). For each charging event, the system stores the start datetime, and the end datetime of the charging. A charging event may or may not use a discount coupon, where the coupon can only be from one of the facilities. Only one discount coupon can be applied for a specific charging event. An EV can charge at the same outlet at a different datetime, which will be considered as a different charging event. While entering a charging station, the driver of each EV needs to provide their information in the system. If the driver’s information has already been in the system (either as a person with whom an EV is registered, or as driver entered before), then the driver only needs to enter their driving licence number. Otherwise, the driver needs to enter the (unique) driving license number, name, and one or more phone numbers. The system also records the entry time. An EV can enter at the same charging station at different datetimes, which will be considered as a different entry event. If all the outlets at a charging station are occupied upon their entry, then the electric vehicles need to wait in a queue. The system records the EVs waiting in the queue for a charging station, capturing their position and arrival time.Please show me the entities, relationships and attributes in this paragraph based on how the database is analyzed

use this format "Another problem with electric vehicles is the high purchase price. In addition, the spread of coronavirus and, consequently, the possibility of epidemics in the coming years can lead to a sharp increase in the use of vehicles in municipal services, including waste collection and road cleaning. This paper proposes a mathematical optimization model for locating charging stations with different technologies and vehicle arc routing for waste collection. However, implementing the model proposed in this paper is challenging due to (1) the lack of comprehensive technical knowledge in some countries to provide charging infrastructure, (2) limited electric vehicle companies, and (3) energy supply problems. Some knowledge-based companies and start-ups have succeeded in designing and making charging devices for electric vehicles, reducing the required time to charge vehicles. Nevertheless, the lack of financial resources for research and development is one of the main problems in these companies and start-ups, which can be solved through government subsidies. In addition, allocating government budgets to leading start-ups and companies with electric vehicle production can create a competitive environment, increase competition, and reduce prices. As the cost of electric vehicles decreases, more people can purchase them, increasing the demand for charging. Services will increase. The charging infrastructure development can also increase the demand for electricity generation, which ultimately leads to an increase in the production capacity of power plants that often use fossil fuels—expanding the use of electric vehicles results in producing more bio-pollutants by power plants. One of the best ways to solve this problem is to invest in renewable energy sources, which have received attention recently. In many countries worldwide, suitable conditions are provided for energy production from renewable sources. Therefore, government resources, private sector investment, and public-private partnerships can be useful management solutions." and write a managerial insight on "Routing optimization of an electric vehicle in municipal solid waste using genetic algorithm"

use this sample "One of the main problems with using electric vehicles is the lack of sufficient charging infrastructure in urban areas. Another problem with electric vehicles are the high purchase price. In addition, the spread of coronavirus and consequently the possibility of epidemics in the coming years can lead to a sharp increase in the use of vehicles in municipal services, including waste collection and road cleaning. This paper proposed a mathematical optimization model for locating charging stations with different technologies and vehicle arc routing for waste collection. However, implementing the model proposed in this paper is challenging due to (1) the lack of comprehensive technical knowledge in some countries to provide charging infrastructure, (2) limited electric vehicle companies, and (3) energy supply problems. Some knowledge-based companies and start-ups have succeeded in designing and making charging devices for electric vehicles, reducing the required time to charge vehicles. Nevertheless, the lack of financial resources for research and development is one of the main problems in these companies and start-ups, which can be solved through government subsidies. In addition, allocating government budgets to leading start-ups and companies with electric vehicle production can create a competitive environment, increase competition, and reduce prices. As the cost of electric vehicles decreases, more people can purchase them, so the demand for charging services will increase. The charging infrastructure development can also increase the demand for electricity generation, which ultimately leads to an increase in the production capacity of power plants that often use fossil fuels expanding the use of electric vehicles results in producing more bio-pollutants by power plants. One of the best ways to solve this " and write a managerial insight on "Routing optimization of electric vehicle in municipal solid waste management

the manufaturing of electric cars, including EV batteries

What is MySQL? Explain its features?