Talking about the Management Equipment of Intelligent Hood

Control system hardware components The control system hardware mainly includes: main controller, exhaust gas sensor, temperature sensor, alarm circuit and other auxiliary circuits. The circuit of the exhaust gas sensor. This circuit is connected to the AD port of the microcontroller. The circuit consists of two parts: the first part is the sampling circuit part, including the exhaust gas sensor and the resistor R1=100k, which is connected to the single-chip microcomputer from point A and driven by +5V voltage; the second part is the heating part, including the exhaust gas sensor and the resistor R2= 100, its function is to heat the exhaust gas sensor, control its on and off, and drive with +12V voltage. When the heating part is not working, the resistance value of the exhaust gas sensor corresponds to infinity, and the voltage of the AD port is zero; when the heating part is in the normal working state, the normal resistance value of the exhaust gas sensor is 10 to 800 k. The fuzzification of the measured value blurs the aging degree of the exhaust gas sensor. The resistance value of the new exhaust gas sensor is generally 10k or more (less than 10k sensor is a non-conforming product), and gradually deteriorates during use, and the resistance gradually increases. When the resistance value exceeds 800k, the program detects and alarms to prompt the user to replace the exhaust gas sensor.

Obscuring the resistance value of the exhaust gas sensor is very sensitive to the exhaust gas sensor. Under normal conditions, when the oil smoke is encountered, its resistance value is greatly reduced. According to the magnitude of the resistance deviation value, the concentration of the soot can be determined. According to the data provided by the manufacturer and the large amount of experimental data obtained, the fuzzy relation matrix and the fume concentration fuzzy rule table are in the two-input single-output control mode, and the control rule adopted is “ifAandBthenC”, so the fuzzy relation matrix Q can be expressed as Q= A × B × C, where: A is the current resistance value R of the exhaust gas sensor (in the case of no soot), B is the resistance deviation value R of the exhaust gas sensor under the action of the soot, and C is the fuzzy value of the soot concentration. Then the fuzzy value of the soot concentration in a certain state can be expressed as C= ×Q. According to the actual situation, the fuzzy relation matrix Q can be obtained first, and then the fume concentration fuzzy value C in a certain state is calculated by the formula, and finally the working state S of the fan is determined according to the C value. Determination of the working state of the fan In the actual control system, the exhaust hood actuator adopts a stepping motor, and the wind speed is divided into three levels: high, medium and low.

According to the experiment, it can be determined that when the soot concentration is 0.1≤C≤0.3, low wind is used; when the soot concentration is 0.3 In the formula, R0 represents the resistance value of the exhaust gas sensor under the action of the soot; AD represents the digital deviation value of the AD port in the case of the soot. It can be seen from the formula that there is a correspondence between AD and R values, AD and R values, and the developer can calculate the AD and AD digital quantities corresponding to the R and R values ​​in advance. As long as the machine can query the AD and AD digital quantities, the specific control functions can be completed. Anti-interference processing Anti-interference processing is one of the most important aspects of microcontrollers. The MC68HC05 microcontroller has a built-in watchdog circuit. The software program uses the counting method and the trap method to resist interference. After a lot of experiments, the performance of the controller is very stable.

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