PVFE 24/24-40 BLOCK Circuit Breaker F7E1A6G2 Power Supply

PVFE 24/24-40 BLOCK Circuit Breaker F7E1A6G2 Power Supply

FIBRO 3-856-166-8005 mold

BTSR TS55/D1000E/19 tension sensor

LITTELFUSE 178.6152.0001 fuse holder

Dumarsing DMS-EC-30-3-480v Reactor

DUMARSING DMS-KH7-50-3-480V Reactor

GEFRAN TK-B-1-F-B02C-M-V 2130X000X00

Honeywell HONEYWELL MVN7510 actuator

GEMPLE GAX60 R13/12E10 LB Optical digital encoder 36320991

Voith PT182-PA.XBRSAGEHCX pressure sensor

FIBRO 3-856-166-8005 Fixture/Mold

SICK AFM60B-S4AA008192 Encoder

ANDREASHOFER 720-00100 Diaphragm Compressor 1

PVFE 24/24-40 BLOCK Circuit Breaker F7E1A6G2 Power Supply

SAPPEL 3080041 12AR PCLSEIV53-WIRE 1.5M Signal Converter

SAPPEL 3035019 ALTAIRV4 2.5R/60 15/11 Signal Converter

Donaldson X770062 differential pressure switch

There are many types of temperature sensors, and the commonly used ones are thermal resistors: PT100, PT1000, Cu50, Cu100; Thermocouples: B, E, J, K, S, etc. Temperature sensors not only come in a wide variety of types, but also have diverse combinations, so suitable products should be selected according to different locations.

Temperature measurement principle: Based on the regular changes in resistance and thermocouple potential with temperature, we can obtain the temperature value that needs to be measured.

Wireless temperature

Wireless temperature sensors convert the temperature parameters of the controlled object into electrical signals and send wireless signals to the receiving terminal to detect, adjust, and control the system. It can be directly installed in the junction box of general industrial thermal resistors and thermocouples, forming an integrated structure with on-site sensing components. Usually used in conjunction with wireless relays, receiving terminals, communication serial ports, electronic computers, etc., this not only saves compensation wires and cables, but also reduces signal transmission distortion, thereby obtaining high-precision measurement results.

Wireless temperature sensors are widely used in automation industries such as chemical, metallurgical, petroleum, power, water treatment, pharmaceutical, and food. For example, temperature collection on high-voltage cables; Temperature collection in harsh environments such as underwater; Temperature collection on moving objects; Difficult to connect and transmit sensor data through space; A data acquisition solution chosen solely to reduce wiring costs; Data measurement in workplaces without AC power supply; Portable non fixed location data measurement.

intelligence

The function of intelligent sensors is to simulate the coordinated actions of human senses and brain,

Proposed based on long-term research and practical experience in testing technology. It is a relatively independent intelligent unit, which has reduced the strict requirements for hardware performance, and with the help of software, the performance of sensors can be greatly improved.

1. Information storage and transmission - With the rapid development of fully intelligent distributed control systems (SmartDistributed Systems), intelligent units are required to have communication functions and use communication networks for bidirectional communication in digital form, which is also one of the key indicators of intelligent sensors. Intelligent sensors achieve various functions by testing data transmission or receiving instructions. Such as setting gain, compensation parameters, internal inspection parameters, test data output, etc.

2. Self compensation and calculation functions - For many years, engineering and technical personnel engaged in sensor development have been doing a lot of compensation work for temperature drift and output nonlinearity of sensors, but have not fundamentally solved the problem. The self compensation and calculation functions of intelligent sensors have opened up new avenues for temperature drift and nonlinear compensation of sensors. In this way, relaxing the precision requirements for sensor processing, as long as the repeatability of the sensor can be guaranteed, using a microprocessor to calculate the test signal through software, and using multiple fitting and difference calculation methods to compensate for drift and nonlinearity, can obtain more accurate measurement results for pressure sensors.