Emergency power supply intelligent access control system and method based on Internet of Things

Abstract

The invention discloses an emergency power supply intelligent access control system and method based on the Internet of Things, and belongs to the technical field of power systems. The system comprises an urban area electricity utilization recording module, a multi-generator car information management module, an intelligent calculation and analysis module, a safety monitoring module and an intelligent coordination control module. The urban area electricity consumption recording module is used for recording data of change of daily electricity consumption of an urban area along with time and generating an electricity consumption log corresponding to the urban area; the multi-generator-car information management module is used for determining the maximum power supply quantity of generator cars in unit time and monitoring real-time power supply parameter data; the intelligent calculation and analysis module is used for predicting the electricity consumption change of the urban area at the next moment; the intelligent coordination control module is used for carrying out coordination control on urban area power supply of the generator car; the safety monitoring module is used for judging whether the generator car has a power supply fault or not; and when the generator car has the power supply fault, determining the generator car with the fault and giving an alarm.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, in particular to an emergency power supply intelligent access control system and method based on the Internet of Things. BACKGROUND

[0002] Emergency power supply intelligent access control refers to a technology that, in a power system or a civil building, when the main power supply fails or is unavailable, it can switch to a backup power supply to ensure that critical facilities and services can continue to operate; a power generation vehicle as an emergency power supply can be quickly connected to the power grid or directly powered to critical facilities when the power grid fails or temporary power supply is needed in a specific situation; however, in the prior art, the coordination control technology for multiple power generation vehicles is still far from adequate, and when the power system in a city area fails, the power generation vehicles cannot be precisely controlled, resulting in low power supply efficiency and affecting the normal work and life of personnel. SUMMARY

[0003] The purpose of the present application is to provide an emergency power supply intelligent access control system and method based on the Internet of Things to solve the problems raised in the background art.

[0004] To solve the above technical problems, the present application provides the following technical solution: an emergency power supply intelligent access control method based on the Internet of Things, which comprises the following steps:

[0005] S10, record the daily power consumption data of the city area over time and generate a power consumption log corresponding to the city area;

[0006] S20, determine the maximum power supply of the power generation vehicle per unit time, and monitor the real-time power supply parameter data when the power generation vehicle supplies power to the city area power system;

[0007] S30, according to the power consumption log of the city area, analyze the historical daily power consumption data of the city area over time, determine the function of the daily power consumption of the city area over time, and predict the power consumption change of the city area at the next moment;

[0008] S40, according to the maximum power supply of the power generation vehicle per unit time, the predicted power consumption of the city area at the next moment, and the number of power consumption equipment connected to the city area, coordinate and control the city area power supply of the power generation vehicle;

[0009] S50, according to the monitored real-time power supply parameter data, determine whether the power generation vehicle has a power supply failure; when there is a power supply failure of the power generation vehicle, determine the power generation vehicle that has failed and alarm.

[0010] Furthermore, the generator vehicle is equipped with an emergency power supply and an emergency power supply access device; the emergency power supply access device has an Internet of Things (IoT) system and a phase detection function; the IoT system is used to collect real-time power supply parameter data; the power supply parameter data includes current and voltage, incoming line switch and generator vehicle status information; the phase detection function is used to determine whether there is a power supply fault in the generator vehicle by the phase and phase sequence during the emergency power supply process, and to alarm the generator vehicle that has a fault.

[0011] Furthermore, the urban area is divided into n sub-areas; each sub-area contains a corresponding emergency access point; the emergency access point is used to connect the emergency power supply in the generator vehicle to supply power to the power system in each sub-area when the power system of the urban area fails; the location information of the emergency access point corresponding to each sub-area is determined.

[0012] Where n represents the number of sub-regions.

[0013] Furthermore, the method steps in step S30 are as follows:

[0014] S301. Based on the electricity consumption logs of the urban area, analyze the historical daily electricity consumption changes of each sub-area over time to obtain set A; A = {A1, A2, ..., A...} n};

[0015] Among them, A1, A2, ..., A n Each represents a data set showing the daily electricity consumption variation over time for each sub-region being analyzed; A i This represents the set of data on the daily electricity consumption of the i-th sub-region over time. These represent the daily electricity consumption changes of the i-th sub-region over time t; t represents the timestamp; i = 1, 2, ..., n; x represents the number of different days in the historical data being analyzed.

[0016] S302. Based on set A, determine the function A of the daily electricity consumption variation with time t for each sub-region. 1t A 2t ... A nt According to the calculation formula:

[0017]

[0018] Among them, Z i Let A represent the function and set A that represents the daily electricity consumption of the i-th sub-region over time t. i The minimum variance among the elements; This represents the change in electricity consumption on day h in the i-th sub-region over time t; h = 1, 2, ..., x;

[0019] According to the calculated Z i Determine the corresponding Z i A at that time it That is, the function that describes the daily electricity consumption of the i-th sub-region as a function of time t;

[0020] Calculate the condition that satisfies set A i The minimum variance, as a function of the daily electricity consumption of a sub-region over time t, can more accurately predict the city's electricity consumption at the next moment, thereby enabling advance control of the generator trucks.

[0021] S303. Based on the monitored real-time power supply parameter data, determine the power consumption W of each sub-area at the current time t. 1t W 2t ... W nt According to A 1t A 2t ... A nt Predict the power consumption W of each sub-region at time t+1. 1(t+1) W 2(t+1) ... W n(t+1) According to the calculation formula:

[0022]

[0023] Among them, W i(t+1) This represents the predicted electricity consumption of the i-th sub-region at time t+1.

[0024] Furthermore, the method steps in step S40 are as follows:

[0025] S401. Determine the number of generator cars M, and determine the maximum power supply P of each generator car per unit time. max Determine the number d of electrical devices connected to each sub-region at time t. 1t d 2t ... d nt ;

[0026] Among them, the maximum power supply per unit time of each generator car is the same; M>n;

[0027] S402, based on the predicted W 1(t+1) W 2(t+1) ... W n(t+1) Determine the number of generators required for each sub-region at time t+1, such that the following formula is satisfied:

[0028]

[0029] Where, m i(t+1)d represents the number of generators required for the i-th sub-region at time t+1; it This represents the number of electrical devices connected to the i-th sub-region at time t;

[0030] By calculating the number of generator cars required for each sub-region at the next moment, the generator cars can be coordinated and controlled in advance. The time period from t to t+1 should be much longer than the path time for the generator cars to move between sub-regions, so as to meet the power supply time difference caused by the advance coordination and control.

[0031] Among them, the generators in the sub-regions that are coordinated and controlled can meet the power supply needs of that sub-region.

[0032] S403. Based on the calculated number of generator cars m required for each sub-region at time t+1. 1(t+1) m 2(t+1) ... m n(t+1) The location information of the emergency access points corresponding to each sub-region is used to coordinate and control the generator vehicles in each sub-region at time t+1.

[0033] An Internet of Things-based intelligent access control system for emergency power supplies includes an urban area electricity consumption recording module, a multi-generation vehicle information management module, an intelligent computing and analysis module, an intelligent coordination and control module, and a safety monitoring module.

[0034] The urban area electricity consumption recording module records the daily electricity consumption data of the urban area over time and generates the corresponding urban area electricity consumption log; the multi-generator information management module determines the maximum power supply of the generator per unit time and monitors the real-time power supply parameter data when the generator supplies power to the urban area power system; the intelligent calculation and analysis module analyzes the historical daily electricity consumption data of the urban area over time, determines the function of daily electricity consumption over time, and predicts the electricity consumption change of the urban area at the next moment; the intelligent coordination and control module coordinates and controls the power supply of the generator in the urban area; the safety monitoring module determines whether there is a power supply failure in the generator; when a power supply failure occurs, it identifies the generator that has failed and issues an alarm.

[0035] Furthermore, the urban area electricity consumption recording module includes an area management unit and an emergency access point determination unit;

[0036] The regional management unit is used to divide the urban area into different sub-regions;

[0037] The emergency access point determination unit is used to determine the location information of the emergency access point corresponding to each sub-region; wherein, each sub-region contains a corresponding emergency access point; the emergency access point is used to connect the emergency power supply in the generator vehicle to supply power to the power system in each sub-region when the power system of the urban area fails.

[0038] Furthermore, the multi-generator vehicle information management module includes an emergency power management unit, an emergency power access device management unit, and a generator vehicle information recording unit;

[0039] The emergency power management unit includes an emergency power supply for supplying power to the power systems in each sub-area;

[0040] The emergency power access device management unit includes an emergency power access device, which has an Internet of Things (IoT) system and a phase detection function. The IoT system is used to collect real-time power supply parameter data. The power supply parameter data includes current and voltage, incoming line switch and generator vehicle status information. The phase detection function is used to determine whether there is a power supply fault in the generator vehicle by the phase and phase sequence during the emergency power supply process, and to alarm the generator vehicle that has a fault.

[0041] The generator vehicle information recording unit is used to determine the number of generator vehicles and the maximum power supply per unit time of the generator vehicle.

[0042] Furthermore, the intelligent computing and analysis module includes a log analysis unit, a change function determination unit, and a power consumption prediction unit;

[0043] The log analysis unit is used to analyze the changes in daily electricity consumption over time in each sub-region based on the electricity consumption logs of the urban area.

[0044] The change function determination unit is used to determine the change function of daily electricity consumption over time for each sub-region;

[0045] The power consumption prediction unit is used to predict the power consumption of each sub-region at the next moment.

[0046] Furthermore, the intelligent coordination control module includes an electrical equipment determination unit, a generator vehicle quantity calculation unit, and an intelligent coordination control unit;

[0047] The electrical equipment determination unit is used to determine the number of electrical equipment connected to each sub-area at different times;

[0048] The generator vehicle quantity calculation unit is used to determine the number of generator vehicles required for each sub-region at the next moment.

[0049] The intelligent coordination and control unit is used to coordinate and control the generators in each sub-region at the next moment based on the calculated number of generators needed for each sub-region at the next moment and the location information of the emergency access points corresponding to each sub-region.

[0050] Compared with the prior art, the beneficial effects achieved by the present invention are: it provides an Internet of Things-based intelligent access control system and method for emergency power supply, which controls the emergency power supply in the generator truck to supply power to the power system in a timely manner when the power system fails, analyzes the power consumption data at the fault location, and coordinates the control of the generator truck, thereby improving the coordinated control technology of multiple generator trucks; at the same time, it distributes power supply resources evenly, thereby improving power supply efficiency and the quality of life of personnel. Attached Figure Description

[0051] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0052] Figure 1 This is a schematic diagram of the structure of an emergency power supply intelligent access control system based on the Internet of Things according to the present invention. Detailed Implementation

[0053] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] Please see Figure 1 This invention provides a technical solution: an intelligent access control method for emergency power supplies based on the Internet of Things, the method comprising the following steps:

[0055] S10. Record the daily electricity consumption data of the urban area over time and generate the corresponding electricity consumption log for the urban area.

[0056] S20. Determine the maximum power supply per unit time of the generator vehicle. When the generator vehicle supplies power to the urban area power system, monitor the real-time power supply parameter data.

[0057] S30. Based on the electricity consumption logs of the urban area, analyze the historical data on the daily electricity consumption of the urban area over time, determine the function of the daily electricity consumption of the urban area over time, and predict the change in electricity consumption of the urban area at the next moment.

[0058] S40. Based on the maximum power supply per unit time of the generator vehicle, the predicted electricity consumption in the urban area at the next moment, and the number of electrical devices connected to the urban area, coordinate and control the power supply of the generator vehicle in the urban area.

[0059] S50. Based on the monitored real-time power supply parameter data, determine whether there is a power supply fault in the generator car; when there is a power supply fault in the generator car, identify the generator car that has the fault and issue an alarm.

[0060] The generator vehicle is equipped with an emergency power supply and an emergency power supply access device; the emergency power supply access device has an Internet of Things (IoT) system and a phase detection function; the IoT system is used to collect real-time power supply parameter data; the power supply parameter data includes current and voltage, incoming line switch and generator vehicle status information; the phase detection function is used to determine whether there is a power supply fault in the generator vehicle by the phase and phase sequence during the emergency power supply process, and to alarm the generator vehicle that has a fault.

[0061] The city area is divided into n sub-regions; each sub-region contains a corresponding emergency access point; the emergency access point is used to connect the emergency power supply in the generator vehicle to supply power to the power system in each sub-region when the power system of the city area fails; the location information of the emergency access point corresponding to each sub-region is determined;

[0062] Where n represents the number of sub-regions.

[0063] The steps of step S30 are as follows:

[0064] S301. Based on the electricity consumption logs of the urban area, analyze the historical daily electricity consumption changes of each sub-area over time to obtain set A; A = {A1, A2, ..., A...} n};

[0065] Among them, A1, A2, ..., A n Each represents a data set showing the daily electricity consumption variation over time for each sub-region being analyzed; A i This represents the set of data on the daily electricity consumption of the i-th sub-region over time. These represent the daily electricity consumption changes of the i-th sub-region over time t; t represents the timestamp; i = 1, 2, ..., n; x represents the number of different days in the historical data being analyzed.

[0066] S302. Based on set A, determine the function A of the daily electricity consumption variation with time t for each sub-region. 1t A 2t ... A nt According to the calculation formula:

[0067]

[0068] Among them, Z i Let A represent the function and set A that represents the daily electricity consumption of the i-th sub-region over time t. i The minimum variance among the elements; This represents the change in electricity consumption on day h in the i-th sub-region over time t; h = 1, 2, ..., x;

[0069] According to the calculated Z i Determine the corresponding Z i A at that time it That is, the function that describes the daily electricity consumption of the i-th sub-region as a function of time t;

[0070] S303. Based on the monitored real-time power supply parameter data, determine the power consumption W of each sub-area at the current time t. 1t W 2t ... W nt According to A 1t A 2t ... A nt Predict the power consumption W of each sub-region at time t+1. 1(t+1) W 2(t+1) ... W n(t+1) According to the calculation formula:

[0071]

[0072] Among them, W i(t+1) This represents the predicted electricity consumption of the i-th sub-region at time t+1.

[0073] The steps of step S40 are as follows:

[0074] S401. Determine the number of generator cars M, and determine the maximum power supply P of each generator car per unit time. max Determine the number d of electrical devices connected to each sub-region at time t. 1t d 2t ... d nt ;

[0075] Among them, the maximum power supply per unit time of each generator car is the same; M>n;

[0076] S402, based on the predicted W 1(t+1) W 2(t+1) ... W n(t+1) Determine the number of generators required for each sub-region at time t+1, such that the following formula is satisfied:

[0077]

[0078] Where, m i(t+1) d represents the number of generators required for the i-th sub-region at time t+1; it This represents the number of electrical devices connected to the i-th sub-region at time t;

[0079] S403. Based on the calculated number of generator cars m required for each sub-region at time t+1. 1(t+1) m 2(t+1) ... m n(t+1) The location information of the emergency access points corresponding to each sub-region is used to coordinate and control the generator vehicles in each sub-region at time t+1.

[0080] An Internet of Things-based intelligent access control system for emergency power supplies includes an urban area electricity consumption recording module, a multi-generation vehicle information management module, an intelligent computing and analysis module, an intelligent coordination and control module, and a safety monitoring module.

[0081] The urban area electricity consumption recording module records the daily electricity consumption data of the urban area over time and generates the corresponding urban area electricity consumption log; the multi-generator information management module determines the maximum power supply of the generator per unit time and monitors the real-time power supply parameter data when the generator supplies power to the urban area power system; the intelligent calculation and analysis module analyzes the historical daily electricity consumption data of the urban area over time, determines the function of daily electricity consumption over time, and predicts the electricity consumption change of the urban area at the next moment; the intelligent coordination and control module coordinates and controls the power supply of the generator in the urban area; the safety monitoring module determines whether there is a power supply failure in the generator; when a power supply failure occurs, it identifies the generator that has failed and issues an alarm.

[0082] The urban area electricity consumption recording module includes an area management unit and an emergency access point determination unit;

[0083] The regional management unit is used to divide the urban area into different sub-regions;

[0084] The emergency access point determination unit is used to determine the location information of the emergency access point corresponding to each sub-region; wherein, each sub-region contains a corresponding emergency access point; the emergency access point is used to connect the emergency power supply in the generator vehicle to supply power to the power system in each sub-region when the power system of the urban area fails.

[0085] The multi-generator vehicle information management module includes an emergency power management unit, an emergency power access device management unit, and a generator vehicle information recording unit.

[0086] The emergency power management unit includes an emergency power supply for supplying power to the power systems in each sub-area;

[0087] The emergency power access device management unit includes an emergency power access device, which has an Internet of Things (IoT) system and a phase detection function. The IoT system is used to collect real-time power supply parameter data. The power supply parameter data includes current and voltage, incoming line switch and generator vehicle status information. The phase detection function is used to determine whether there is a power supply fault in the generator vehicle by the phase and phase sequence during the emergency power supply process, and to alarm the generator vehicle that has a fault.

[0088] The generator vehicle information recording unit is used to determine the number of generator vehicles and the maximum power supply per unit time of the generator vehicle.

[0089] The intelligent computing and analysis module includes a log analysis unit, a change function determination unit, and a power consumption prediction unit;

[0090] The log analysis unit is used to analyze the changes in daily electricity consumption over time in each sub-region based on the electricity consumption logs of the urban area.

[0091] The change function determination unit is used to determine the change function of daily electricity consumption over time for each sub-region;

[0092] The power consumption prediction unit is used to predict the power consumption of each sub-region at the next moment.

[0093] The intelligent coordination control module includes an electrical equipment determination unit, a generator vehicle quantity calculation unit, and an intelligent coordination control unit.

[0094] The electrical equipment determination unit is used to determine the number of electrical equipment connected to each sub-area at different times;

[0095] The generator vehicle quantity calculation unit is used to determine the number of generator vehicles required for each sub-region at the next moment.

[0096] The intelligent coordination and control unit is used to coordinate and control the generators in each sub-region at the next moment based on the calculated number of generators needed for each sub-region at the next moment and the location information of the emergency access points corresponding to each sub-region.

[0097] In this embodiment:

[0098] Specifically, this system is an intelligent access control system for emergency power supply in a generator vehicle; in this system, the generator vehicle is equipped with an emergency power supply and an emergency power supply access device; the number of sub-regions in the urban area is n=5; each sub-region contains a corresponding emergency access point; the location information of the emergency access point corresponding to each sub-region is determined;

[0099] Record daily electricity consumption data over time for a city area and generate corresponding electricity consumption logs for that city area. Based on the city area's electricity consumption logs, analyze the historical daily electricity consumption data over time for each sub-region to obtain set A; A = {A1, A2, ..., A...} n};

[0100] Based on set A, determine the function A of the daily electricity consumption variation with time t for each sub-region. 1t A 2t ... A nt According to the calculation formula:

[0101]

[0102] According to the calculated Z i Determine the corresponding Z i A at that time it That is, the function that describes the daily electricity consumption of the i-th sub-region as a function of time t;

[0103] Based on the monitored real-time power supply parameter data, determine the power consumption W of each sub-region at the current time t. 1t W 2t ... W nt According to A 1t A 2t ... A nt Predict the power consumption W of each sub-region at time t+1. 1(t+1) W 2(t+1) ... W n(t+1) According to the calculation formula:

[0104]

[0105] Determine the number of generator cars M = 10, and determine the maximum power supply P of each generator car per unit time. max Determine the number d of electrical devices connected to each sub-region at time t. 1t d 2t ... d nt According to the predicted W 1(t+1) W 2(t+1) ... W n(t+1) Determine the number of generators required for each sub-region at time t+1, such that the following formula is satisfied:

[0106]

[0107] Based on the calculated number of generator cars m required for each sub-region at time t+1 1(t+1) m 2(t+1) ... m n(t+1)The location information of the emergency access points corresponding to each sub-region is used to coordinate and control the generator vehicles in each sub-region at time t+1.

[0108] When the generator truck supplies power to the urban area's power system, it monitors real-time power supply parameter data; based on the monitored real-time power supply parameter data, it determines whether there is a power supply fault in the generator truck; when a power supply fault is found in the generator truck, it identifies the faulty generator truck and issues an alarm.

[0109] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0110] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent access control method for emergency power supplies based on the Internet of Things, characterized in that: The method includes the following steps: S10. Record the daily electricity consumption data of the urban area over time and generate the corresponding electricity consumption log for the urban area. S20. Determine the maximum power supply per unit time of the generator vehicle. When the generator vehicle supplies power to the urban area power system, monitor the real-time power supply parameter data. S30. Based on the electricity consumption logs of the urban area, analyze the historical data on the daily electricity consumption of the urban area over time, determine the function of the daily electricity consumption of the urban area over time, and predict the change in electricity consumption of the urban area at the next moment. S40. Based on the maximum power supply per unit time of the generator vehicle, the predicted electricity consumption in the urban area at the next moment, and the number of electrical devices connected to the urban area, coordinate and control the power supply of the generator vehicle in the urban area. S50. Based on the monitored real-time power supply parameter data, determine whether there is a power supply fault in the generator car; when there is a power supply fault in the generator car, identify the generator car that has the fault and issue an alarm.

2. The method for intelligent access control of emergency power supply based on the Internet of Things according to claim 1, characterized in that: The generator vehicle is equipped with an emergency power supply and an emergency power supply access device; the emergency power supply access device has an Internet of Things (IoT) system and phase detection function; the IoT system is used to collect real-time power supply parameter data; The power supply parameter data includes current and voltage, incoming line switch and generator vehicle status information; the phase detection function is used to determine whether there is a power supply fault in the generator vehicle by the phase and phase sequence during the emergency power supply process, and to alarm the generator vehicle that has a fault.

3. The method for intelligent access control of emergency power supply based on the Internet of Things according to claim 2, characterized in that: The city area is divided into n sub-regions; each sub-region contains a corresponding emergency access point; the emergency access point is used to connect the emergency power supply in the generator vehicle to supply power to the power system in each sub-region when the power system of the city area fails; the location information of the emergency access point corresponding to each sub-region is determined; Where n represents the number of sub-regions.

4. The method for intelligent access control of emergency power supply based on the Internet of Things according to claim 3, characterized in that: The steps of step S30 are as follows: S301. Based on the electricity consumption logs of the urban area, analyze the historical daily electricity consumption changes of each sub-area over time to obtain set A; A = {A1, A2, ..., A...} n }; Among them, A1, A2, ..., A n Each represents a data set showing the daily electricity consumption variation over time for each sub-region being analyzed; A i This represents the set of data on the daily electricity consumption of the i-th sub-region over time. These represent the daily electricity consumption changes of the i-th sub-region over time t; t represents the timestamp; i = 1, 2, ..., n; x represents the number of different days in the historical data being analyzed. S302. Based on set A, determine the function A of the daily electricity consumption variation with time t for each sub-region. 1t A 2t ... A nt According to the calculation formula: Among them, Z i Let A represent the function and set A that represents the daily electricity consumption of the i-th sub-region over time t. i The minimum variance among the elements; This represents the change in electricity consumption on day h in the i-th sub-region over time t; h = 1, 2, ..., x; According to the calculated Z i Determine the corresponding Z i A at that time it That is, the function that describes the daily electricity consumption of the i-th sub-region as a function of time t; S303. Based on the monitored real-time power supply parameter data, determine the power consumption W of each sub-area at the current time t. 1t W 2t ... W nt According to A 1t A 2t ... A nt Predict the power consumption W of each sub-region at time t+1. 1(+1) W 2(+1) ... W n(t+1) According to the calculation formula: Among them, W i(t+1) This represents the predicted electricity consumption of the i-th sub-region at time t+1.

5. The method for intelligent access control of emergency power supply based on the Internet of Things according to claim 4, characterized in that: The steps of step S40 are as follows: S401. Determine the number of generator cars M, and determine the maximum power supply P of each generator car per unit time. max Determine the number d of electrical devices connected to each sub-region at time t. 1t d 2t ... d nt ; Among them, the maximum power supply per unit time of each generator car is the same; M>n; S402, based on the predicted W 1(+1) W 2(+1) ... W n(t+1) Determine the number of generators required for each sub-region at time t+1, such that the following formula is satisfied: Where, m i(t+1) d represents the number of generator cars required for the i-th sub-region at time t+1; it This represents the number of electrical devices connected to the i-th sub-region at time t; S403. Based on the calculated number of generator cars required at time t+1 for each sub-region. m 1(+1) m 2(+1) ... m n(t+1) The location information of the emergency access points corresponding to each sub-region is used to coordinate and control the generator vehicles in each sub-region at time t+1.

6. An intelligent access control system for emergency power supplies based on the Internet of Things, characterized in that: The system includes an urban area electricity consumption recording module, a multi-generation vehicle information management module, an intelligent computing and analysis module, an intelligent coordination and control module, and a safety monitoring module; The urban area electricity consumption recording module records the daily electricity consumption data of the urban area over time and generates the corresponding urban area electricity consumption log; the multi-generator information management module determines the maximum power supply of the generator per unit time and monitors the real-time power supply parameter data when the generator supplies power to the urban area power system; the intelligent calculation and analysis module analyzes the historical daily electricity consumption data of the urban area over time, determines the function of daily electricity consumption over time, and predicts the electricity consumption change of the urban area at the next moment; the intelligent coordination and control module coordinates and controls the power supply of the generator in the urban area; the safety monitoring module determines whether there is a power supply failure in the generator; when a power supply failure occurs, it identifies the generator that has failed and issues an alarm.

7. The IoT-based intelligent access control system for emergency power supplies according to claim 6, characterized in that: The urban area electricity consumption recording module includes an area management unit and an emergency access point determination unit; The regional management unit is used to divide the urban area into different sub-regions; The emergency access point determination unit is used to determine the location information of the emergency access point corresponding to each sub-region; wherein, each sub-region contains a corresponding emergency access point; the emergency access point is used to connect the emergency power supply in the generator vehicle to supply power to the power system in each sub-region when the power system of the urban area fails.

8. The IoT-based intelligent access control system for emergency power supplies according to claim 7, characterized in that: The multi-generator vehicle information management module includes an emergency power management unit, an emergency power access device management unit, and a generator vehicle information recording unit. The emergency power management unit includes an emergency power supply for supplying power to the power systems in each sub-area; The emergency power access device management unit includes an emergency power access device, which has an Internet of Things (IoT) system and phase detection function; the IoT system is used to collect real-time power supply parameter data. The power supply parameter data includes current and voltage, incoming line switch and generator vehicle status information; the phase detection function is used to determine whether there is a power supply fault in the generator vehicle by the phase and phase sequence during the emergency power supply process, and to alarm the generator vehicle that has a fault. The generator vehicle information recording unit is used to determine the number of generator vehicles and the maximum power supply per unit time of the generator vehicle.

9. The IoT-based intelligent access control system for emergency power supplies according to claim 8, characterized in that: The intelligent computing and analysis module includes a log analysis unit, a change function determination unit, and a power consumption prediction unit; The log analysis unit is used to analyze the changes in daily electricity consumption over time in each sub-region based on the electricity consumption logs of the urban area. The change function determination unit is used to determine the change function of daily electricity consumption over time for each sub-region; The power consumption prediction unit is used to predict the power consumption of each sub-region at the next moment.

10. The IoT-based intelligent access control system for emergency power supplies according to claim 9, characterized in that: The intelligent coordination control module includes an electrical equipment determination unit, a generator vehicle quantity calculation unit, and an intelligent coordination control unit. The electrical equipment determination unit is used to determine the number of electrical equipment connected to each sub-area at different times; The generator vehicle quantity calculation unit is used to determine the number of generator vehicles required for each sub-region at the next moment. The intelligent coordination and control unit is used to coordinate and control the generators in each sub-region at the next moment based on the calculated number of generators needed for each sub-region at the next moment and the location information of the emergency access points corresponding to each sub-region.

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