A Distributed Decision-Making System and Its Decision-Making Method

Abstract

The invention provides a distributed decision system and a decision method thereof. The distributed decision system comprises multiple sensors and an information platform. At least a part of multiplesensors are the sensors equipped with microprocessors. The information platform can be used for registration of the sensors and can allow the sensors to acquire the adjacent sensor information throughthe information platform and share the data. The sensors can make the decision based on the data of themselves and the nearby sensors and judge whether the corresponding task is triggered based on the decision. With application of the distributed decision system and the decision method thereof, the local decision can be made through the sensors so that the local decision of small area is enabledto be conveniently and rapidly made, the requirements for the processing capacity of the central processing unit can be reduced and the real-time task processing speed of the internet of things systemcan be enhanced.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a distributed decision-making system and a decision-making method thereof. Background technique [0002] In the era of the Internet of Things, a common existing technology is to set up multiple sensing endpoints, the information of these sensing endpoints is transmitted to the central processing unit, and the central processing unit performs information processing and decision making in a unified manner, and the decisions made are in the form of commands Pass back to each sensing endpoint to command it to perform certain actions and finally complete the task. For example, in the field of farmland IoT irrigation cloud service system, multiple temperature / humidity sensors are set on the farmland. The data of each sensor is shared to the analysis processor of the cloud service system. The analytical processor cross-checks data from all the sensors, combines it with geographic...

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Problems solved by technology

[0003] However, the disadvantage of this centrally controlled decision-making platform and method is that it requires high data processing capability of the central processing unit, which often results in large power consumption.

Moreover, each sensing endpoint is completely passive, except for sending data, it can only wait for instructions from the central processing unit

This also caused task processing to be untimely, unable to cope with the task processing requirements of large IoT systems with massive sensing endpoints

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