A settlement detection method and device based on the principle of image recognition

Abstract

The invention discloses a settlement detecting method based on the image recognition principle. A detection container filled with a liquid is arranged, the liquid level in the detection container is related to the height of the settlement surface, and the liquid level in the detection container changes with change of the height of the settlement surface; an image of the liquid level in the detection container is acquired and recognized, images of former and later liquid levels in the detection container are compared, and accordingly, the settlement amount of the settlement surface relative to the reference surface is acquired. The invention further discloses a detection device capable of realizing the method. The detection device comprises a standard liquid storage tank arranged in the reference surface position, the detection container arranged in the settlement surface position, liquids in the standard liquid storage tank and the detection container as well as a communicating pipe connecting the standard liquid storage tank and the detection container; a sensing device and a measuring device are arranged above the detection container. The method and the device are particularly suitable for settlement detection of a building, have the advantages of fastness, stability, high accuracy and the like and can realize real-time online detection of settlement of a building, and accordingly, safety during construction and use of the building is guaranteed.

Description

technical field [0001] The invention belongs to the field of civil engineering, and relates to a method and a device for detecting building settlement, in particular to a method and a device for measuring settlement based on a static level. Background technique [0002] Buildings provide the space environment for social production, survival and development. Due to the influence of geological conditions, atmospheric environment and building loads, vertical settlement and deformation of buildings occur during construction and use. In order to ensure the safety of people and property, the building Real-time online detection of settlement is very important. [0003] At present, geometric leveling is mainly used for building settlement detection, which requires the use of instruments to establish a horizontal line of sight, and then read the scales of the leveling scales at both ends of the line of sight, and calculate the height difference of the scale point from the difference ...

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Problems solved by technology

[0003] At present, geometric leveling is mainly used for building settlement detection, which requires the use of instruments to establish a horizontal line of sight, and then read the scales of the leveling scales at both ends of the line of sight, and calculate the height difference of the scale point from the difference in scale readings. Geometric leveling is relatively mature. , but the work efficiency is low, and it is difficult to detect on-line in real time. In recent years, the method of measuring building settlement with static level instrument generally uses electronic sensors to measure the liquid level position to monitor the settlement of buildings, which is difficult to meet the monitoring needs of the civil engineering field.

[0004] Purely mechanical measurement tools have the advantages of small jitter in measurement results, good data continuity, strong anti-interference ability, and long life. and poor real-time

[0005] Traditional electronic measurement has the advantages of high precision and easy integration, but because the performance of electronic components is susceptible to temperature interference, its resistance to electromagnetic interference and temperature interference is weak; the life of general electronic components does not exceed 10 years, making it impossible to perform Long-term online measurement; when replacing the measurement tool, due to the discreteness of the characteristics of the new and old measurement tools, the measurement data often cannot be connected

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