German MATERIAS TEXTILES sensors, MATERIAS TEXTILES models, MATERIAS TEXTILES prices

MATERIAS TEXTILES sensors are measurement feedback devices that operate based on the optical principle of gratings. Grating scales are frequently used in the closed-loop servo systems of CNC machine tools and can be used to detect linear or angular displacement. The measurement output signal is a digital pulse, characterized by a large detection range, high detection accuracy, and fast response speed. For example, in CNC machine tools, they are often used to detect the coordinates of tools and workpieces to observe and track tool path errors, thereby compensating for tool motion errors. Depending on the manufacturing method and optical principle, grating scales are divided into transmission gratings and reflection gratings.

MATERIAS TEXTILES sensor classification

Lasers can be divided into 4 types based on the working medium. (1) Solid-state lasers: The working medium is solid. Common types include ruby lasers, neodymium-doped yttrium aluminum garnet lasers (i.e., YAG lasers), and neodymium glass lasers. Their structures are roughly similar, characterized by being compact, robust, and high-power. Neodymium glass lasers are the devices with the highest pulsed output power, reaching tens of megawatts. (2) Gas lasers: The working medium is gas. There are now various gas atomic, ion, metal vapor, and gas molecule lasers. Common types include carbon dioxide lasers, helium-neon lasers, and carbon monoxide lasers. Their shape resembles ordinary discharge tubes, characterized by stable output, good monochromaticity, and long life, but lower power and lower conversion efficiency. (3) Liquid lasers: These can be further divided into chelate lasers, inorganic liquid lasers, and organic dye lasers, among which organic dye lasers are the most important. Their main characteristic is continuously tunable wavelength. (4) Semiconductor lasers: This is a relatively newer type of laser, with gallium arsenide lasers being the more mature variant. Characteristics include high efficiency, small size, light weight, and simple structure, making them suitable for use on aircraft, warships, tanks, and for carrying by infantry. They can be made into rangefinders and sights. However, they have lower output power, poorer directionality, and are significantly affected by ambient temperature.

MATERIAS TEXTILES sensor principle

When a laser sensor operates, the laser emitting diode first emits a laser pulse toward the target. After reflecting off the target, the laser scatters in various directions. Part of the scattered light returns to the sensor receiver, where it is received by the optical system and imaged onto an avalanche photodiode. An avalanche photodiode is an optical sensor with internal amplification capability, allowing it to detect extremely weak light signals and convert them into corresponding electrical signals. A common type is the laser distance sensor, which determines the target distance by recording and processing the time elapsed from the emission of the light pulse to its reception. Laser sensors must measure the transmission time with extreme precision because the speed of light is very fast.

MATERIAS TEXTILES sensor applications

Oversize vehicle width and height detection: Laser sensors are used for rapid measurement. An industrial PC and the network kernel of the visualization programming software VB enable real-time data transmission and processing with the sensors. User-friendly host control software has also been designed. Field test data show that the system offers good real-time performance and high measurement accuracy, providing practical value. Highway toll stations: Used at highway toll stations for vehicle counting and safety protection. Malaysia's Teras company has already deployed hundreds of BEA laser sensors in its manual and automatic toll collection systems. The laser sensors use the Time-of-Flight (TOF) measurement principle to form 4 planes within the detection area for vehicle detection. The product also provides features such as rear-end collision prevention and vehicle safety protection. Compared with traditional light curtains, laser sensors offer advantages including high sensitivity, high precision, easy installation, cost-effectiveness, and strong stability. Google's second-generation driverless car: Equipped with laser sensors. In Google's second-generation autonomous vehicle prototype, besides the prominently visible laser sensor on the roof, other sensors are discreetly integrated. Distinctive Google driverless car markings are applied to the front, rear, and both sides of the vehicle. The control and driving principle of the Google driverless car relies on numerous sensors installed around the vehicle to continuously collect precise data about the vehicle itself and its surroundings. An onboard processor analyzes and computes this data to control the vehicle's movement. The driverless car uses GPS devices and sensors to accurately determine the vehicle's position and forward speed, identifying surrounding pedestrians, vehicles, bicycles, traffic signals, and many other objects. The roof of this Lexus vehicle features a 360° rotating laser holographic sensor, which can almost simultaneously sense conditions in front of, beside, and behind the vehicle. Data collected by the sensor is transmitted via green data cables to the processor located at the rear right side of the vehicle. This laser sensor also enables global precise positioning for the driverless car. The original L type Lexus emblem on the front of the car was removed and replaced with a radar sensor used to measure distance ahead and vehicle speed, allowing assessment of forward traffic conditions and controlling safe acceleration and deceleration. Position sensors are also mounted on the wheel hubs to detect wheel rotation, aiding in vehicle localization. The heart of the Google driverless car—the processor—is located at the rear right side of the vehicle. Data from all sensors is transmitted here via data cables for software-based analysis and processing, enabling precise sensing and judgment of different objects near the driverless car. In addition to analyzing and judging the current positions of objects around the driverless car, the system uses software calculations to accurately predict the potential next position of each object. Finally, the driverless car makes safe driving decisions based on all collected data, including controlling vehicle speed and maintaining distance from surrounding vehicles.

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