Multi-agent system cooperative control method based on radio and television building

Abstract

The invention discloses a multi-agent system cooperative control method based on a radio and television building, and the method comprises the following steps: 1, constructing a digital twin model of the radio and television building, accurately mapping the space structure of the building and the installation positions and operation parameters of intelligent systems such as a building air conditioner cooler, a heating ventilation air conditioner, air supply and exhaust, a temperature controller, water supply and drainage, intelligent illumination and the like; 2, configuring an agent module with independent perception, communication and decision-making capabilities for each agent system, and uploading related data to a system data storage and control center; and step 3, the system data storage and control center performs task allocation and coordination control on the intelligent agent systems by using a preset coordination control algorithm according to the received data information of the intelligent agent systems so as to ensure efficient coordination work among the intelligent agent systems. According to the invention, through cooperative control of the multi-agent system of the radio and television building, the energy utilization efficiency of the radio and television building and the indoor environment comfort can be improved.

Description

Technical Field

[0001] This invention relates to the field of building intelligent control system technology, and in particular to a multi-agent system collaborative control method based on broadcasting buildings. Background Technology

[0002] With the continuous development of the broadcasting industry and the increasing advancement of intelligent technologies, the functions and equipment of broadcasting buildings are becoming increasingly complex and diverse. Traditional control methods struggle to achieve efficient collaborative management of various devices, leading to problems such as energy waste, low equipment operating efficiency, and poor user experience. For example, building air conditioning chillers, HVAC systems, ventilation systems, and thermostats often operate independently, lacking effective unified management and collaborative control mechanisms. This prevents intelligent and coordinated adjustments based on actual conditions, resulting in unnecessary energy consumption. Therefore, an innovative multi-agent system collaborative control method is urgently needed to address these issues. Summary of the Invention

[0003] The purpose of this invention is to provide a collaborative control method for multi-agent systems in broadcasting buildings, so as to realize efficient collaborative work among various intelligent systems in broadcasting buildings and improve the operating efficiency, energy saving level and user comfort of broadcasting buildings.

[0004] To achieve the above objectives, the technical solution of the present invention is as follows.

[0005] This invention provides a collaborative control method for multi-agent systems in broadcasting buildings. The method includes the following steps: constructing a digital twin model of the broadcasting building to accurately map the building's spatial structure and the installation locations and operating parameters of intelligent systems such as air conditioning chillers, HVAC systems, ventilation systems, temperature controllers, water supply and drainage systems, and intelligent lighting; configuring an intelligent agent module with independent sensing, communication, and decision-making capabilities for each intelligent agent system, and enabling it to upload relevant data to the system data storage and control center; and using a preset collaborative control algorithm, the system data storage and control center allocates tasks and coordinates the control of each intelligent agent system based on the received data, ensuring efficient collaborative work among the intelligent agent systems.

[0006] The collaborative control algorithm includes the following: based on the operational needs of the broadcasting building and the real-time status data of each intelligent agent system, dynamically grouping and assigning tasks to each intelligent agent system to form different collaborative working modes; formulating corresponding objective functions and constraints for each collaborative working mode, and using optimization algorithms to solve for the optimal control parameters and collaborative strategies; and dynamically adjusting the parameters and strategies of the collaborative control algorithm according to different time periods and business scenarios to adapt to the dynamic changes in the broadcasting building.

[0007] The communication methods between the various intelligent agent systems include, but are not limited to, wireless communication, wired communication, and communication based on IoT protocols. The communication process employs encryption technology to ensure data security.

[0008] The control center has self-learning and self-adaptive capabilities, and can continuously optimize the collaborative control algorithm and control strategy based on historical data and real-time feedback.

[0009] The multi-agent system collaborative control method based on broadcasting buildings also includes establishing a fault monitoring and diagnosis mechanism. When a certain agent system or its components malfunction, an alarm can be issued in a timely manner and the fault location can be determined. At the same time, the corresponding emergency plan can be activated, and other agent systems can work together to complete the replacement work of the faulty system or take temporary measures to ensure the normal operation of the broadcasting building.

[0010] Each intelligent agent system can automatically adjust its working mode and control parameters according to different work scenarios and time requirements such as program production and office work in the broadcasting building, thereby achieving intelligent adaptive control.

[0011] The data storage and control center can centrally monitor and manage the entire system, and display the operating status and data changes of each intelligent agent through a visual interface. It can also interact and collaborate with external systems such as broadcasting business systems and security systems to achieve comprehensive intelligent management of broadcasting buildings.

[0012] The beneficial effects achieved by the embodiments of this invention are as follows: Energy efficiency is improved through the collaborative control of multiple intelligent agent systems, enabling intelligent operation of equipment and rational energy allocation, effectively reducing energy consumption. For example, the operating parameters of equipment such as air conditioners and lighting are automatically adjusted based on indoor and outdoor temperatures and personnel activity, avoiding energy waste. Equipment operational stability is enhanced: the collaborative work between various intelligent agent systems enables mutual backup and automatic fault switching, improving the reliability and stability of equipment operation. For example, when one air conditioning system fails, other air conditioning systems can automatically increase their load to ensure stable indoor temperatures. User experience is improved: the collaborative control of intelligent lighting, thermostats, and other systems provides users with a comfortable working and living environment. For example, lighting brightness and temperature are automatically adjusted according to user habits and needs, improving user comfort and satisfaction. Management and maintenance are facilitated: the data storage and control center can centrally manage and monitor various intelligent agent systems, enabling remote control and fault diagnosis of equipment, reducing management costs and maintenance difficulties. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein:

[0014] Figure 1 This is a flowchart illustrating a collaborative control method for a multi-agent system based on broadcasting buildings according to the present invention. Detailed Implementation

[0015] 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 a part of the embodiments of the present invention, and not all of them. 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.

[0016] Please see Figure 1 As shown, the present invention also provides a flowchart of a multi-agent system collaborative control method for broadcasting buildings, including steps 1, 2, and 3, wherein...

[0017] Step 1: Construct a digital twin model of the broadcasting building to accurately map the building's spatial structure and the installation locations and operating parameters of intelligent systems such as air conditioning chillers, HVAC, ventilation, temperature controllers, water supply and drainage, and intelligent lighting.

[0018] Step 2: Configure each intelligent agent system with an intelligent agent module that has independent perception, communication and decision-making capabilities, and be able to upload relevant data to the system data storage and control center.

[0019] Step 3: The system control center, based on the data information received from each intelligent agent system, uses a preset collaborative control algorithm to allocate tasks and coordinate control of each intelligent agent system, ensuring efficient collaborative work among the intelligent agent systems.

[0020] Based on the above steps, a specific application case of a multi-agent system collaborative control method for broadcasting buildings can be provided. For example, the supply and exhaust air agent dynamically adjusts the air volume and frequency of supply and exhaust air according to indoor air quality monitoring data and personnel distribution, and works in collaboration with the building air conditioning chiller agent and the HVAC agent to optimize indoor air circulation.

[0021] Compared with related technologies, the multi-agent system collaborative control method for broadcasting buildings provided by this invention has the following advantages: By optimizing the control of intelligent systems such as air conditioning chillers, HVAC, ventilation, temperature controllers, water supply and drainage, and intelligent lighting in broadcasting buildings, this method can improve energy utilization efficiency and indoor environmental comfort, and solve the problems of energy waste and unstable indoor environmental quality in existing technologies.

[0022] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. They can be applied to various fields suitable for the present invention. Other modifications can be easily made by those skilled in the art. Therefore, without departing from the general concept defined by the claims and their equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. A collaborative control method for a multi-agent system based on broadcasting buildings, characterized in that, The process includes the following steps: constructing a digital twin model of the broadcasting building to accurately map the building's spatial structure and the installation locations and operating parameters of intelligent systems such as air conditioning chillers, HVAC systems, ventilation systems, thermostats, water supply and drainage systems, and intelligent lighting; configuring each intelligent system with an intelligent agent module that has independent sensing, communication, and decision-making capabilities, and enabling it to upload relevant data to the system data storage and control center; and using a preset collaborative control algorithm, the system data storage and control center allocates tasks and coordinates the control of each intelligent agent system based on the received data information from each intelligent agent system, ensuring efficient collaborative work between the intelligent agent systems.

2. The multi-agent system collaborative control method for broadcasting buildings according to claim 1, characterized in that, The collaborative control algorithm includes the following: based on the operational needs of the broadcasting building and the real-time status data of each intelligent agent system, dynamically grouping and assigning tasks to each intelligent agent system to form different collaborative working modes; formulating corresponding objective functions and constraints for each collaborative working mode, and using optimization algorithms to solve for the optimal control parameters and collaborative strategies; and dynamically adjusting the parameters and strategies of the collaborative control algorithm according to different time periods and business scenarios to adapt to the dynamic changes in the application scenarios of the broadcasting building.

3. The multi-agent system collaborative control method for broadcasting buildings according to claim 1, characterized in that, The communication methods between the various intelligent agent systems include, but are not limited to, wireless communication, wired communication, and communication based on IoT protocols. Encryption technology is used in the communication process to ensure data security.

4. The multi-agent system collaborative control method for broadcasting buildings according to claim 1, characterized in that, The data storage and control center has self-learning and self-adaptive capabilities, and can continuously optimize the collaborative control algorithm and control strategy based on historical data and real-time feedback.

5. The multi-agent system collaborative control method for broadcasting buildings according to claim 1, characterized in that, It also includes establishing a fault monitoring and diagnosis mechanism, which can promptly issue an alarm and locate the fault when a certain intelligent agent system or its components malfunction, and at the same time activate the corresponding emergency plan, so that other intelligent agent systems can work together to complete the replacement work of the faulty system or take temporary measures to ensure the normal operation of the broadcasting building.

6. The multi-agent system collaborative control method for broadcasting buildings according to claim 1, characterized in that, Each intelligent agent system can automatically adjust its working mode and control parameters according to different work scenarios and time requirements such as program production and office work in broadcasting buildings, so as to achieve intelligent adaptive control.

7. The multi-agent system collaborative control method for broadcasting buildings according to claim 1, characterized in that, The data storage and control center can centrally monitor and manage the entire system, and display the operating status and data changes of each agent through a visual interface.

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