Building supervision engineering quality detection system based on cloud data

Abstract

The invention discloses a building supervision engineering quality detection system based on cloud data. The system comprises a controller, a cloud server, a detector, a turntable alarm, and a data input end device. A worker inputs engineering data detected by the detector through the data input end device and transmits the data to the cloud server. The cloud server calculates and compares the detected data with various pre-stored data industry standards, and sends a signal to the controller when the difference between the detected data and the pre-stored data industry standards is greater than a set range, and the controller controls a turntable motor of the turntable alarm to rotate by a corresponding phase angle, so that the turntable alarm indicates corresponding data alarm; meanwhile,in the rotating process of the turntable motor, rotating energy is used for pressurizing the air storage tank, and the pressure of the air storage tank is used for blowing the surface of the storagebarrel.

Description

technical field [0001] The invention relates to the technical field of construction supervision, in particular to an engineering quality detection system for construction supervision based on cloud data. Background technique [0002] Construction supervision refers to the completion of the construction project, the inspection and acceptance of the project, and the inspection to check whether the project meets the requirements of the state for engineering construction, so as to facilitate the management and control of the project. Now when the project is inspected and accepted, testing instruments are generally used to check the overall project Fixed-point detection. [0003] Building testing includes many indicators such as levelness, verticality, angle, etc. The industry standards of these indicators and their deviation standards are also different. It is difficult for the staff to remember all the standards when measuring on site and judge whether the indicators are qualif...

AI Technical Summary

Problems solved by technology

[0003] Building testing includes many indicators such as levelness, verticality, angle, etc. The industry standards of these indicators and their deviation standards are also different. It is difficult for the staff to remember all the standards and use them to judge whether the indicators are qualified. Therefore, if the cloud server can be used to pre-store various standard data and compare it with the measured data, the above-mentioned purpose can be achieved quickly; It is impossible to effectively detect a small space, and at the same time, it is impossible to sample simultaneously during the detection, so that the detection personnel need to carry a large number of detection equipment, and the detection process is cumbersome, and it is impossible to perform multiple detections simultaneously.

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