WiMi develops Load Balancing Algorithm-Based 5G Remote Robotic IoT Control System

The new generation of rapid development of information technologies such as artificial intelligence, the Internet of Things, big data, intelligent robots and artificial intelligence, advanced manufacturing, mobile networks, and other technologies is driving the revolution in production and lifestyle. From smart homes and smart security to smart agriculture and industrial IoT, IoT has penetrated every aspect of life, bringing significant changes to people’s work and life. The demand for IoT control system is also getting higher and higher, and IOT control system has the characteristics of diversification, openness, extensiveness, and intelligence.

Combining with user needs, WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) has developed a 5G remote robotic IoT control system based on a load balancing algorithm, which realizes comprehensive intelligent management and real-time monitoring of remote robots. The 5G remote robot networking control system is expected to achieve the control goal by collecting, transmitting, analyzing, and sending control commands to the items’ data and implementing remote monitoring and management of the equipment. 5G remote robot networking control system features strong security, easy installation and operation, high stability, diverse management, real-time, low cost, high compatibility, and low power consumption.

WiMi’s R&D team uses a double-level structure in the IoT control system: the low-level network controller controls the gateway and a programmable logic controller (PLC); the high-level controller is a cloud-based platform. Most of the information processing tasks and user service requests in the system are made by the cloud, and the controller functions are then mainly realized by the high-level controller, while the low-level controller can be weakened as a gateway. When most of the system’s information processing tasks and user service requests are made by the low-level controller, the cloud platform where the high-level controller is located can be weakened into a database management platform. When the control strategy is complex, the relatively independent control strategy can be implemented by the low-level controller, while the high-level controller does the system-level strategy or the coordination between the low-level controllers.

From local closed-loop control to network control during the development of 5G remote machine character IoT control system, time delay, bandwidth, and throughput are essential factors affecting its performance. Time delay parameters are particularly prominent, especially in the IoT environment. Sensors are the bottom layer of IoT, distributed in various fields, and the collected data are very complex. If a massive amount of information is transmitted to each application layer through the network, it will cause overload to the network layer, thus increasing the network latency; in addition, how the control signals sent to the actuators are delivered quickly and timely through the network also puts requirements on the latency index. Therefore, designing network control algorithms to effectively compensate for the network delay and ensure the stability and robustness of the whole control system has been a hot issue for research.

WiMi R&D team applies a load-balancing algorithm to the remote robotic networking control system, which evenly distributes requests sent from outside to multiple operating units (servers, middleware) in a symmetric structure through some load-sharing technique. In contrast, the operating unit receiving the proposal responds to the request independently. Load balancing can evenly distribute requests to the array of operating units, thereby providing fast access to essential data, solving the problem of a large number of concurrent access services, and solving the issues of high performance, single point of failure (high availability), and scalability (horizontal scaling).

Load-balancing algorithms have high concurrency, scalability, high availability, and security.

High concurrency: Load balancing improves an application cluster’s concurrent processing capability (throughput) by algorithmically adjusting the load and distributing the workload of each node in the application cluster as evenly as possible.

Scalability: Adding or reducing the number of servers is controlled by load balancing for distribution. This allows the application cluster to be scalable.

High availability: The load balancer monitors candidate servers and automatically skips when a server is unavailable, distributing requests to available servers. This makes the application cluster highly available.

Security protection: Load balancing software or hardware provides security features, such as denylist and safelist processing, firewall, anti-DDos attack, etc.

The load balancing algorithm-based 5G remote robotic IoT control system developed by WiMi optimizes and improves the IoT control system from the network level and control theory level to improve the control efficiency of remote devices and save a lot of manpower and material resources for users. With the development of IoT technology and the continuous improvement of control theory, the system will be applied to a broader range of fields, such as smart homes, smart security, smart agriculture, industrial IoT, etc. Intelligence, security, real-time, and low energy consumption are the goals and focuses pursued by future IoT control systems.