Intelligent construction site accumulated soil exposure detection method combined with block chain

Abstract

The invention discloses an intelligent construction site accumulated soil exposure detection method in combination with a block chain. The method comprises the steps of constructing a constructor accumulated soil exposure detection deep neural network; loading the trained parameters required by the constructor accumulated soil exposure detection deep neural network and the post-processing unit andthe parameters required by the post-processing unit on the server cluster; and for each constructor accumulated soil exposure detection deep neural network reasoning request, generating a constructoraccumulated soil exposure detection block chain private chain, and executing network reasoning to obtain an accumulated soil exposure detection result. According to the invention, in construction site environment monitoring, accumulated soil exposure detection precision, detection efficiency, and safety and confidentiality in a data processing and transmission process are improved.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, block chain, CIM, and smart construction site, and in particular to a method for detecting exposed soil on a smart construction site combined with block chain. Background technique [0002] With the rapid development of my country's social economy and science and technology, the traditional detection and management methods based on human resources in the construction site have many limitations, such as the high cost of personnel detection and management, and the low efficiency of detection and management. , The accuracy of detection is not high, it is easily affected by subjective factors, and the lack of human resources leads to problems such as ineffective management. For example, there is usually dust accumulation in the construction site. If no covering is used, it is easy to be affected by environmental factors and cause environmental problems such as large-scale dust. Howeve...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of my country's social economy and science and technology, the traditional detection and management methods based on human resources in the construction site have many limitations, such as the high cost of personnel detection and management, and the low efficiency of detection and management. , the accuracy of detection is not high, it is easily affected by subjective factors, and the lack of human resources leads to problems such as poor management

For example, there is usually dust accumulation in the construction site. If no covering is used, it is easy to be affected by environmental factors and cause environmental problems such as large-scale dust. However, it is too costly and inefficient to rely on manpower for real-time supervision. Affected by subjective factors of supervisors and objective factors such as environment and line of sight occlusion

Moreover, the current detection of various environmental factors on the construction site usually only returns abnormal results, and the result feedback is single

Moreover, the hardware clusters used for computing are easy to leak information and have low security performance

[0003] Therefore, the existing soil exposure detection technology has the problems of low detection accuracy and detection efficiency, single result feedback, and low safety performance in the process of data processing and transmission.

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