A joint control system for large buildings

Abstract

The invention provides a combined control system for a large-scale building, and the system comprises a first main controller and N second branch controllers. The N second branch controllers are controlled by the first main controller. Each second branch controller comprises a centralized controller and M branch controller groups. The system achieves the complete and automatic monitoring of various indexes of the large-scale building, designs a three-layer management mode, and achieves the hierarchical monitoring of the large-scale building. The system designs a multi-level early-warning mechanism, and each level of the early-warning mechanism is triggered and turned off in a full-automatic manner, so as to achieve the spontaneous early warning under the condition without manual intervention and the danger treatment in an early warning state, and to avoid the manual intervention to the maximum degree.

Description

technical field [0001] The invention relates to the construction field, in particular to a joint control system for large buildings. Background technique [0002] The application of monitoring is very extensive, ranging from cameras that can be seen everywhere in people's daily life to miniature sensors arranged in various devices are all monitoring devices. Based on the development of computer technology, signal and data processing technology, and communication technology, monitoring technology has also made great progress, thus saving a lot of manpower and material resources. [0003] For large buildings, the building structure is complex and the space is large. Relatively, if the supervision is not proper, the probability of danger is also relatively high. In order to strengthen the supervision of large buildings, it is necessary to invest a lot of manpower and material resources, for example, to constantly patrol the various areas of large buildings to ensure that the l...

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Problems solved by technology

[0003] For large buildings, the building structure is complex and the space is large. Relatively, if the supervision is not proper, the probability of danger is relatively high.

In order to strengthen the supervision of large buildings, it is necessary to invest a lot of manpower and material resources, for example, to constantly patrol the various areas of large buildings to ensure that the large buildings are in a safe state, and one inspection requires more manpower and a long time, which is not only For the waste of human resources and labor costs, and with little effect, it is difficult to respond immediately to emergencies

[0004] On the other hand, there are many variables that need to be monitored in large buildings, and the relevant algorithms for risk judgment based on variables are not mature. Therefore, it is difficult to realize full automation of monitoring and one of the reasons for the need for manual inspection

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