## 3 Hardware and Software Complex  
The proposed WAMS does not use the methods of optical interferometry and reflectometry, as well as fiber Bragg gratings and long-period fiber gratings. The refusal of the known method of optical interferometry is due to the dependence of the propagation phase of a light wave on temperature, so a change in temperature by 1 \({}^{\circ}\)C can cause a false alarm in the absence of a mechanical effect on the sensor. The use of a distributed WAMS based on optical reflectometry methods or Bragg gratings is due to the higher cost of one measurement point and the peculiarity of the distributed system operation associated with using one OF. Considering that it can be damaged during the operation of technological equipment and its movement, the work will be left without a pressure control system. It is also necessary to consider the specifics of the sensor placement in the hole drilled in the roof of the work, and this is a quasi-distributed measurement system. The proposed quasi-distributed WAMS contains a new principle of data construction and processing. A quasi-distributed WAMS can have an unlimited number of channels. Figure 9 shows a photo of the moment of setting up the program for controlling the mechanical impact of fiber-optic sensors. The hardware-software complex was configured during the experiments to work with four sensors. The program operates in two modes: measurement and alarm, triggered by a sudden parameter change. The hardware-software complex allows for controlling the stress-strain state of a monolithic reinforced concrete structure. When the program starts, a reference image is taken to compare all the following ones to measure changes. In the camera settings block, the values of the parameters for the number of frames from the camera for averaging and reducing camera noise, the number of images (measuring values) for one detection period, and the threshold value of the pixel color in grayscale at which triggering will occur directly affect the sensitivity of detection. In the camera settings, one can also set the number of triggers (motion detection) in a row before the ALARM signal and the value of the motion detection threshold (the number of white pixels); when exceeded, the motion will be detected. The graph in the monitoring block (Figure 10) shows changing the number of pixels above the set brightness threshold between two consecutive measurements; the scale is limited by the set field \"motion detection sensitivity threshold value\". The scale is marked at 20% of the maximum, indicating numerical values. Figure 9: Setting up a mechanical impact control program. The essence of the method (Figure 11) is as follows: from the radiation source (1) (semiconductor laser 650 nm) with a power of 10-30 mW, the light wave passes through the optical patch cord (3), which has optical connectors (2) (SC type) for switching the sensor with the data processing unit and the laser. The optical fiber is inside the concrete beam (4) and is the sensor through which the light wave passes. At the output of the VOD-installed optical module (5) is a transparent screen on which a light spot (6) is projected, and then the rays of the spot fall on the surface of the photo matrix (7), which converts the optical signal into an electrical signal and performs its pre-processing using the built-in graphics microprocessor. When a mechanical load is applied to the lateral surface of the optical fiber, a microbead is formed in it, and refractive parameters change, which leads to a change in the properties of the passing light wave. All changes are recorded by the photo matrix and the program. Figure 12 shows the pictures from the computer screen showing how the light wave's intensity changes with increasing force on the fiber optic sensor after converting a positive image to a negative image. The external load on the beam was created using a laboratory press (Figure 4).