Multifunctional electric power control system integrating emergency lighting, elevator and air conditioner control and based on Internet of Things and method thereof

Abstract

The invention discloses an internet-of-things-based multifunctional power control system integrating emergency lighting, elevator and air conditioner control and a method thereof. The system mainly comprises a sensing layer module, an internet-of-things gateway, a cloud platform, a local control terminal, an execution module and a standby power supply module. The sensing layer module collects electric power parameters, environment parameters, equipment operation states and personnel distribution information and transmits the information to the cloud platform and the local control terminal through the Internet of Things gateway, and the cloud platform completes data storage, analysis and decision making and generates a control instruction. According to the invention, intelligent cooperative scheduling of building electric power related equipment is realized, system safety, reliability and energy utilization efficiency are improved, stable operation of core functions in abnormal scenes such as commercial power interruption can be effectively guaranteed, and the method is suitable for various building electric power management and control scenes.

Description

Technical Field

[0001] This invention relates to the fields of power control and Internet of Things (IoT) technology, specifically to a multi-functional power control system and method based on IoT that integrates emergency lighting, elevator, and air conditioning control. Background Technology

[0002] With the rapid development of smart building and Internet of Things (IoT) technologies, the demand for intelligent control of electrical equipment within buildings is increasing. Emergency lighting, elevators, and air conditioning, as core power-consuming equipment and critical infrastructure within buildings, directly affect the building's safety, comfort, and energy efficiency due to their operational stability, level of intelligent control, and collaborative capabilities.

[0003] In existing technologies, the control of emergency lighting, elevators, and air conditioning is mostly an independent system, which has the following drawbacks: First, the decentralized control of each system lacks a unified power monitoring and collaborative scheduling mechanism. When power failures (such as mains power outages or voltage instability) or emergencies (such as fires or earthquakes) occur, the rapid response and coordinated operation of each device cannot be achieved. For example, after a mains power outage, emergency lighting may be delayed, elevators may not stop at safe floors in time, and air conditioning may still consume power ineffectively. Second, there is a lack of remote monitoring and precise control capabilities based on the Internet of Things. Maintenance personnel need to conduct on-site inspections of equipment malfunctions and abnormal power consumption, resulting in low maintenance efficiency and high costs. Third, energy management is extensive and cannot dynamically adjust elevator operation modes and air conditioning loads according to the distribution of people and environmental needs within the building, leading to serious waste of power resources. Fourth, existing emergency lighting control mostly relies solely on mains power detection and does not incorporate environmental safety parameters (such as smoke concentration, temperature, and humidity), resulting in insufficient accuracy and reliability of emergency response.

[0004] Therefore, there is an urgent need for a multi-functional power control system based on the Internet of Things that can achieve coordinated control of emergency lighting, elevators, and air conditioning, and has remote monitoring, precise scheduling, and efficient energy management functions, in order to overcome the shortcomings of existing technologies. Summary of the Invention

[0005] To address the problems of decentralized control, lack of coordination, low intelligence, and poor operation and maintenance efficiency in existing technologies for emergency lighting, elevators, and air conditioning, this invention provides a multi-functional power control system and method based on the Internet of Things (IoT). This system enables unified monitoring, coordinated scheduling, remote control, and precise energy management of various devices, thereby improving the safety, reliability, and energy utilization efficiency of building power systems.

[0006] A multi-functional power control system based on the Internet of Things (IoT) integrates emergency lighting control, elevator control, and air conditioning control functions, including: a sensing layer module, an IoT gateway, a cloud platform, a local control terminal, and an execution module;

[0007] The sensing layer module is used to collect electrical parameters, environmental parameters, and operating status parameters of various execution devices within the building. The electrical parameters include mains voltage, current, frequency, and backup power. The environmental parameters include indoor temperature and humidity, smoke concentration, and light intensity. The operating status parameters include the on / off status of emergency lighting, elevator floor / load / fault information, and air conditioning operating mode / fan speed / temperature setting. The sensing layer module includes an electrical parameter acquisition unit, an environmental parameter acquisition unit, and an equipment status acquisition unit. The electrical parameter acquisition unit uses voltage sensors, current sensors, and power sensors. The environmental parameter acquisition unit uses temperature and humidity sensors, smoke sensors, and light sensors. The equipment status acquisition unit is integrated into the emergency lighting equipment, elevator controller, and air conditioning controller.

[0008] The IoT gateway is communicatively connected to the sensing layer module, the cloud platform, and the local control terminal. It is used to convert the format of the parameters collected by the sensing layer module and preprocess the data before transmitting them to the cloud platform and the local control terminal. At the same time, it receives control commands issued by the cloud platform or the local control terminal and forwards them to the execution module. The IoT gateway supports multiple communication protocols such as 5G / NB-IoT / Wi-Fi to achieve stable data transmission and multi-device access.

[0009] The cloud platform is used to store various parameters collected by the perception layer module, perform data analysis and decision-making based on the parameters, and generate control commands. The cloud platform includes a data storage unit, a data analysis unit, a decision-making and scheduling unit, and a remote monitoring unit. The data analysis unit is used to analyze power load changes, equipment operation failures, and environmental safety risks. The decision-making and scheduling unit generates emergency lighting control commands, elevator control commands, and air conditioning control commands based on the analysis results and preset strategies. The remote monitoring unit provides a visual interface, allowing users to remotely view equipment status and power parameters and issue control commands.

[0010] The local control terminal is connected to the IoT gateway via wired / wireless connection. It is used to monitor the operating status and power parameters of the equipment in real time. When the cloud platform communication is abnormal, it issues control commands based on the preset local strategy to ensure the normal operation of the system's basic functions.

[0011] The execution module includes an emergency lighting control unit, an elevator control unit, and an air conditioning control unit, each communicatively connected to an IoT gateway to receive control commands and execute corresponding operations. The emergency lighting control unit connects the emergency lighting equipment to a backup power supply and controls the switching on / off, brightness adjustment, and power switching (mains power / backup power) of the emergency lighting equipment. The elevator control unit communicates with the elevator controller to control the elevator's operating floors, start / stop, load limits, and emergency stop in case of malfunction. The air conditioning control unit communicates with the air conditioning controller to control the air conditioning's start / stop, operating mode switching (cooling / heating / air supply), temperature adjustment, and fan speed adjustment.

[0012] Furthermore, the system also includes a backup power module, which uses a lithium battery pack and is connected to the emergency lighting control unit, the elevator control unit, and the cloud platform. It is used to supply power to the emergency lighting equipment, the elevator emergency operation, and the core module of the cloud platform when the mains power is interrupted. The backup power module integrates a power detection unit to collect power parameters in real time and transmit them to the cloud platform.

[0013] Furthermore, the perception layer module also includes a personnel detection unit, which uses infrared sensors or cameras to collect information on the distribution of people in various areas of the building and transmit it to the cloud platform to provide data support for elevator scheduling and air conditioning control.

[0014] Furthermore, the cloud platform also includes a fault early warning unit. Based on the equipment operating status parameters and power parameters collected by the perception layer module, and combined with a preset fault threshold, the fault early warning unit determines whether there is a fault risk in the equipment (such as elevator overload, abnormal power consumption of air conditioner, or damage to emergency lighting), and sends early warning information to the user through the remote monitoring unit.

[0015] A multi-functional power control method based on the Internet of Things (IoT), applied to the aforementioned multi-functional power control system based on the IoT, includes the following steps:

[0016] S1. Data Acquisition: The perception layer module collects real-time power parameters, environmental parameters, equipment operating status parameters, and personnel distribution information within the building, and transmits the collected parameters to the cloud platform and local control terminal through the IoT gateway;

[0017] S2. Data Processing and Analysis: The cloud platform stores and analyzes the received parameters to determine the current operating status of the power system, environmental safety status, and equipment operating status. Specifically, this includes: analyzing whether the mains power is stable and whether the backup power supply is sufficient; determining whether there are environmental safety risks (such as excessive smoke concentration or abnormal temperature and humidity); and identifying whether each device has operational faults or abnormal power consumption.

[0018] S3. Collaborative Decision-Making and Command Generation: Based on data analysis results and preset control strategies, the cloud platform generates corresponding control commands, specifically including:

[0019] S31. Emergency Lighting Control Commands: When a mains power outage or excessive smoke concentration is detected, a backup power switching command and an emergency lighting turn-on command are generated; when sufficient light intensity is detected and there is no safety risk, an emergency lighting turn-off command is generated; based on personnel distribution information, a corresponding area emergency lighting brightness adjustment command is generated.

[0020] S32. Elevator Control Commands: When a mains power outage or environmental safety risk is detected, generate an elevator emergency stop command (control the elevator to stop at the nearest safe floor and open the elevator door); generate an elevator dispatch command based on personnel distribution information (prioritize responding to elevator calls in densely populated areas); generate an elevator stop command and send a fault warning when an elevator overload or malfunction is detected.

[0021] S33. Air Conditioning Control Commands: Based on indoor temperature and humidity parameters and occupant distribution information, generate commands for air conditioning start / stop, operation mode switching, and temperature / fan speed adjustment; when the mains power load is detected to be too high, generate an air conditioning load adjustment command (reduce the air conditioning power in non-essential areas).

[0022] S4. Command Execution: The IoT gateway forwards the control commands generated by the cloud platform to the corresponding execution modules. The emergency lighting control unit, elevator control unit, and air conditioning control unit execute the commands to complete the control of the corresponding devices.

[0023] S5. Local Redundancy Control: When the cloud platform and the IoT gateway communicate abnormally, the local control terminal sends basic control commands to the execution module based on the preset local policy to ensure that core functions such as emergency lighting, elevator emergency stop, and basic air conditioning operation are performed normally.

[0024] S6. Status Feedback and Monitoring: The execution module feeds back the device status parameters after the command is executed to the cloud platform and the local control terminal through the IoT gateway. Users can view the real-time status through the cloud platform remote monitoring unit or the local control terminal to achieve closed-loop control.

[0025] Furthermore, in step S3, the preset control strategy can be customized by the user through the cloud platform remote monitoring unit, including emergency response thresholds (such as smoke concentration exceeding the standard threshold, mains power interruption judgment threshold), air conditioning temperature setting range, elevator scheduling priority, etc.

[0026] Furthermore, in step S2, the cloud platform can also predict power load based on historical data and generate forward-looking air conditioning and elevator scheduling instructions to reduce power load during peak hours.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] (1) Achieve multi-device collaborative control: This invention integrates emergency lighting, elevator and air conditioning control functions, and solves the problem of decentralized control and lack of linkage of various devices in the prior art through unified scheduling of cloud platform. Especially in the event of power failure or emergency, it can achieve collaborative response of rapid emergency lighting, precise emergency elevator stop and reasonable start and stop of air conditioning, thereby improving building safety.

[0029] (2) High level of intelligence: Based on IoT technology, remote data collection and transmission are realized. Users can remotely monitor equipment status and power parameters through the cloud platform and issue control commands. Combined with personnel distribution, environmental parameters and power load analysis, the equipment can be accurately scheduled and dynamically adjusted, thereby improving the level of intelligent control.

[0030] (3) High energy efficiency: By analyzing changes in power load and personnel distribution, the operating load of air conditioning and the elevator scheduling mode are dynamically adjusted to avoid ineffective power consumption, reduce building power consumption, and achieve energy conservation;

[0031] (4) Reliable operation: Set up a local control terminal and a backup power module to ensure the normal operation of core control functions when the cloud platform communication is abnormal or the mains power is interrupted, thereby improving the stability and reliability of the system operation; at the same time, the fault warning unit can identify equipment faults in a timely manner, thereby reducing maintenance costs.

[0032] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the preferred embodiments of this application are described in detail below with reference to the accompanying drawings.

[0033] The above and other objects, advantages and features of this application will become more apparent to those skilled in the art from the following detailed description of specific embodiments in conjunction with the accompanying drawings. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0035] Figure 1 This is a system block diagram of the present invention;

[0036] Figure 2 This is a flowchart of the method of the present invention.

[0037] In the diagram: 1-Perception layer module, 11-Power parameter acquisition unit, 12-Environmental parameter acquisition unit, 13-Equipment status acquisition unit, 14-Personnel detection unit, 2-IoT gateway, 3-Cloud platform, 31-Data storage unit, 32-Data analysis unit, 33-Decision scheduling unit, 34-Remote monitoring unit, 35-Fault early warning unit, 4-Local control terminal, 5-Execution module, 51-Emergency lighting control unit, 52-Elevator control unit, 53-Air conditioning control unit, 6-Backup power supply module. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. In the following description, specific details such as specific configurations and components are provided merely to help fully understand the embodiments of this application. Therefore, those skilled in the art should understand that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. In addition, for clarity and brevity, descriptions of known functions and structures are omitted in the embodiments.

[0039] Furthermore, reference numerals and / or letters may be repeated in different examples within this application. Such repetition is for the purpose of simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or settings discussed.

[0040] In this article, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, B exists alone, and A and B exist simultaneously. The term " / and" in this article describes another type of relationship between related objects, indicating that two relationships can exist. For example, A / and B can mean: A exists alone, and A and B exist alone. In addition, the character " / " in this article generally indicates that the related objects before and after it are in an "or" relationship.

[0041] It should also 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.

[0042] Please see Figure 1-2This invention provides a technical solution for a multi-functional power control system and method based on the Internet of Things that integrates emergency lighting, elevator, and air conditioning control:

[0043] In this embodiment, the hardware deployment of the IoT-based multifunctional power control system is as follows:

[0044] Sensing Layer Module 1: The power parameter acquisition unit 11 uses an ACS712 current sensor and a ZMPT101B voltage sensor, installed in the building's main power distribution room and on each floor's power distribution circuit, to collect mains voltage, current, and frequency; the backup power power acquisition unit uses a DS2438 power sensor, installed in the lithium battery backup power module 6; the environmental parameter acquisition unit 12 uses a DHT11 temperature and humidity sensor, an MQ-2 smoke sensor, and a BH1750 light sensor, installed in the corridors, offices, and elevator cars on each floor; the personnel detection unit 14 uses an HC-SR501 infrared sensor, installed in the corridors and elevator entrances on each floor; the equipment status acquisition unit 13 connects to the emergency lighting equipment, elevator controller (PLCS7-200), and air conditioning controller (KFR-35GW built-in air conditioning controller) via an RS485 interface to collect equipment operating status parameters.

[0045] IoT Gateway 2: Selects EC20 5G / NB-IoT dual-mode gateway, connects to each acquisition unit of Sensing Layer Module 1 through RS485 interface, communicates with Cloud Platform 3 through 5G network, and connects to Local Control Terminal 4 (selects industrial tablet computer) through Wi-Fi to realize data transmission and command forwarding.

[0046] Cloud Platform 3: Built using Alibaba Cloud ECS servers, deploying data storage unit 31 (using MySQL database), data analysis unit 32 (implementing data mining algorithms based on Python), decision scheduling unit 33 (implementing control strategy parsing based on rule engine), and remote monitoring unit 34 (using Vue.js to build a visual interface).

[0047] Execution Module 5: The emergency lighting control unit 51 uses an STM32F103 microcontroller, connects the LED emergency lighting fixtures to the 12V lithium battery backup power module 6, and communicates with the IoT gateway 2 via an RS485 interface; the elevator control unit 52 communicates with the elevator controller via the Modbus protocol, receives dispatch instructions, and controls the elevator operation; the air conditioning control unit 53 communicates with the air conditioning controller via an infrared remote control module to realize air conditioning start / stop, mode switching, and parameter adjustment.

[0048] Backup power module 6: Uses a 100Ah lithium battery pack, connected to the emergency lighting control unit 51, elevator control unit 52 and cloud platform 3 core server to ensure power supply to core equipment when the mains power is interrupted.

[0049] 4.2 Control Method Execution Flow

[0050] In this embodiment, the execution flow of the IoT-based multifunctional power control method is as follows:

[0051] S1. Data Acquisition: The sensors and acquisition units of the perception layer module 1 collect data in real time. Among them, the current sensor and voltage sensor collect the mains power parameters every 0.5 seconds, the temperature and humidity sensor, smoke sensor and light sensor collect the environmental parameters every 1 second, the personnel detection unit 14 collects the personnel distribution information every 2 seconds, and the equipment status acquisition unit 13 collects the operating status parameters of emergency lighting, elevator and air conditioning every 1 second. All collected data are converted into digital signals through the Internet of Things gateway 2 and then transmitted to the cloud platform 3 and the local control terminal 4.

[0052] S2. Data Processing and Analysis: The cloud platform 3 uses a MySQL database to store the received real-time data. The data analysis unit 32 analyzes the data based on Python algorithms. For example, when the mains voltage is detected to be lower than 200V (preset threshold), it is determined that the mains power is interrupted; when the smoke concentration collected by the smoke sensor is greater than 500ppm (preset threshold), it is determined that there is a fire safety risk; when the elevator load parameters are greater than 80% of the rated load, it is determined that the elevator is close to an overload state.

[0053] S3. Collaborative Decision Making and Command Generation: The cloud platform 3 decision scheduling unit 33 generates control commands based on the analysis results. For example, when a mains power outage is detected, a "backup power switch" command is generated to the emergency lighting control unit 51, a "elevator emergency stop to the nearest floor and open the door" command is generated to the elevator control unit 52, and a "turn off air conditioning in non-essential areas" command is generated to the air conditioning control unit 53. When an infrared sensor on a certain floor detects the presence of people and the light intensity is below 100 lux, a "turn on emergency lighting on this floor and adjust the brightness to 80%" command is generated. When an office temperature and humidity sensor detects a temperature higher than 28°C and people are present, a "turn on office air conditioning, cooling mode, set temperature 26°C, medium fan speed" command is generated.

[0054] S4. Command Execution: The IoT gateway 2 forwards the control commands generated by the cloud platform 3 to the corresponding execution module 5. After receiving the command, the emergency lighting control unit 51 controls the lithium battery backup power module 6 to turn on, driving the LED emergency lighting fixtures to light up and adjust the brightness. After receiving the command, the elevator control unit 52 controls the elevator to run to the nearest safe floor through the PLC controller and drives the elevator door to open. After receiving the command, the air conditioning control unit 53 sends a control signal to the air conditioner through the infrared remote control module, controlling the air conditioner to turn on and switch to the corresponding operating state.

[0055] S5. Local Redundancy Control: When the cloud platform 3 is unable to communicate with the IoT gateway 2 due to network failure, the local control terminal 4 detects the communication interruption and automatically activates the preset local strategy. It sends the command "turn on emergency lighting on each floor" to the emergency lighting control unit 51, the command "stop to the nearest floor" to the elevator control unit 52, and the command "turn on the air conditioning in the public area and set the temperature to 26℃" to the air conditioning control unit 53 to ensure the normal operation of core functions.

[0056] S6. Status Feedback and Monitoring: The execution module 5 feeds back the status of the equipment after the command is executed (such as the status of emergency lighting, the floor where the elevator stops, and the air conditioning operation mode) to the cloud platform 3 and the local control terminal 4 through the IoT gateway 2. Users can view the status of each device, power parameters and environmental parameters in real time through the remote monitoring unit 34 interface of the cloud platform 3. They can also manually issue control commands through the interface (such as manually turning off the air conditioning in a certain area) to achieve closed-loop control.

[0057] In this embodiment, the above-mentioned system and method realize the coordinated intelligent control of emergency lighting, elevators and air conditioning, thereby improving the safety, reliability and energy efficiency of the building power system.

[0058] The above description is merely a preferred embodiment of the present invention and does not limit the scope of protection of the present invention. For those skilled in the art, the present invention can have various modifications and variations. Any changes, modifications, substitutions, integrations, and parameter alterations to these embodiments within the spirit and principles of the present invention, achieved through conventional substitutions or by achieving the same function without departing from the principles and spirit of the present invention, fall within the scope of protection of the present invention.

Claims

1. A multifunctional power control system based on the Internet of Things, characterized in that, It integrates emergency lighting control, elevator control and air conditioning control functions, including: a perception layer module (1), an Internet of Things gateway (2), a cloud platform (3), a local control terminal (4) and an execution module (5); The sensing layer module (1) is used to collect power parameters, environmental parameters and operating status parameters of various execution devices in the building. The power parameters include mains voltage, current, frequency and backup power supply. The environmental parameters include indoor temperature and humidity, smoke concentration and light intensity. The operating status parameters include the on / off status of emergency lighting, elevator operating floor / load / fault information, and air conditioner operating mode / fan speed / temperature setting. The IoT gateway (2) is connected to the perception layer module (1), the cloud platform (3) and the local control terminal (4) respectively, and is used for data format conversion, preprocessing and transmission, as well as forwarding of control commands; The cloud platform (3) is used to store the collected parameters, perform data analysis and decision-making based on the parameters, generate emergency lighting control commands, elevator control commands and air conditioning control commands, and provide a remote monitoring interface. The local control terminal (4) is connected to the Internet of Things gateway (2) via wired / wireless connection and is used for local real-time monitoring and redundant control when the cloud platform (3) is in communication failure. The execution module (5) includes an emergency lighting control unit (51), an elevator control unit (52), and an air conditioning control unit (53), which are respectively connected to the Internet of Things gateway (2) for receiving control commands and executing control operations of the corresponding devices.

2. The multifunctional power control system based on the Internet of Things according to claim 1, characterized in that, It also includes a backup power module (6), which uses a lithium battery pack and is connected to the emergency lighting control unit (51), the elevator control unit (52) and the cloud platform (3) to supply power to the core equipment when the mains power is interrupted; the backup power module (6) integrates a power detection unit to collect power parameters in real time and transmit them to the cloud platform (3).

3. The multifunctional power control system based on the Internet of Things according to claim 1, characterized in that, The perception layer module (1) also includes a personnel detection unit (14), which uses an infrared sensor or camera to collect information on the distribution of personnel in various areas of the building and transmit it to the cloud platform (3).

4. The multifunctional power control system based on the Internet of Things according to claim 1, characterized in that, The cloud platform (3) also includes a fault warning unit (35), which judges the risk of equipment failure and sends warning information based on the collected equipment operating status parameters and power parameters, combined with a preset fault threshold.

5. A multi-functional power control method based on the Internet of Things (IoT), applied to the multi-functional power control system based on the IoT as described in any one of claims 1-4, characterized in that, Includes the following steps: S1. Data Acquisition: The perception layer module (1) collects the building's power parameters, environmental parameters, equipment operating status parameters and personnel distribution information in real time, and transmits them to the cloud platform (3) and local control terminal (4) through the Internet of Things gateway (2). S2. Data processing and analysis: The cloud platform (3) stores and analyzes the received parameters to determine the power system operating status, environmental safety status and equipment operating status; S3. Collaborative decision-making and instruction generation: The cloud platform (3) generates emergency lighting control instructions, elevator control instructions and air conditioning control instructions based on the data analysis results and preset control strategies; S4. Instruction execution: The IoT gateway (2) forwards the control instructions to the corresponding execution module (5), and the execution module (5) executes the instructions to complete the device control; S5. Local Redundancy Control: When the cloud platform (3) experiences communication failure, the local control terminal (4) issues basic control commands based on the preset local policy; S6. Status feedback and monitoring: The execution module (5) feeds back the device status parameters after the instruction is executed to the cloud platform (3) and the local control terminal (4) to realize closed-loop control.

6. The multifunctional power control method based on the Internet of Things according to claim 5, characterized in that, In step S3, the preset control strategy can be customized by the user through the remote monitoring interface (34) of the cloud platform (3), including emergency response threshold, air conditioning temperature setting range, and elevator scheduling priority.

7. The multifunctional power control method based on the Internet of Things according to claim 5, characterized in that, In step S2, the cloud platform (3) predicts the power load based on historical data and generates forward-looking air conditioning and elevator scheduling instructions.

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