PVC High speed Auto-Recovery Door
Grey,Yellow grid,Purple,Green,Light green,Black,Perforated Yellow grid,White,Blue,White grid,Sky Blue,Yellow,Orange,Red
Color curtain:0.8mmthickness.
Function:insect prevention
Max Door Size: 8M Wide x 6M Height
Aluminum alloy 95mm width
Function:reinforce the crutain to keep the door opening without a hitch
The place on the cover box. Can detect 3 meters area!
Function: detect the moving thing and open the door.
For the place which has more people through.
High speed door motor: Germany brand(SEW)and Our own brand Hofic.
Germany SEW motor(380V/220V 50Hz 0.75KW,1.5KW,2.2kw.)
Control box:Include control system+PLC+transducer+encoder+airbag system.
Brand:Japan Mitsubishi and Our own Hofic
Function: all the control system are inside in it.
Material: Stainless steel201#or304# Auto Recovery Rapid Door, machine protection high speed door, machine protection door,Recovery High Speed Door/ Self Recoverable Roller Shutter/Aoto Repair Roller Shutter Door SHENZHEN HONGFA AUTOMATIC DOOR CO., LTD , https://www.hongfahss.com
From the boiler operation data, the information closely related to the calorific value of the coal is extracted, and the identification model of the calorific value of the coal is established, so that the current value of coal-fired heating is identified according to the operation data under the condition of steady-state operation. It is provided for combustion optimization control. Coal quality disturbance parameters. In order to make the control system timely adjust the boiler combustion state under coal quality fluctuations.
2 Practical application The combustion optimization of the boiler of the 600MW unit of Tongliao Power Plant targets the highest boiler efficiency, the lowest NOx emission, and the lowest dynamic operating cost of the boiler. The combustion optimization system and the DCS are connected using a 485 serial interface. The Modbus protocol is used for data communication. The combustion optimization system obtains the boiler operating data from the DCS and then sends the optimized data obtained from the optimization calculation to the DCS for combustion adjustment. Select five controlled variables of boiler efficiency, NOx emission concentration, carbon content of fly ash, power consumption of fan plant, and boiler operating cost; overcorrection of oxygen content in flue gas, setting of primary air (7), and secondary air damper Degree correction (11), correction of coal supply (7), wind temperature correction of coal mill outlet (7), burner swing angle (2) as control variables; coal quality, load, ambient temperature Disturbance variables.
The test was carried out with unit loads of 600, 500, and 400 MW. The combustion optimization control system has a total of 33 loops to optimize the operation, including the secondary throttle control loop (11th floor), the flue gas oxygen control loop, the coal feeder bias loop (7 coal mills), and the coal mill Outlet temperature control loop (8 coal mills) and primary air volume control loop (7 mills). At the same time, the safety of the combustion optimization control system was verified. The results show that under the conditions of failure, communication interruption, system power loss, and the optimization value exceeding the limit, the DCS protection and control function is normal, and the unit can ensure the safety of the unit. run. 
3 Application results Under the 600MW and 400MW load of the unit, two sets of parallel working conditions were performed on the combustion-optimized control system. A total of 4 test conditions were compared to the performance test; the data was collected after the stable operation of the unit under the reference conditions and the data was collected. The combustion optimization system collects new operating condition data after the system is stabilized as a set of comparative data. The test adopts the American ASMPTC4.1 standard, referring to GB10184-88 "Plant Boiler Performance Test Regulations". The boiler efficiency test results before and after the boiler combustion optimization system are shown in Table 1. The boiler NOx and emission test data are shown in Table 2. 
From Table 1 and Table 2, it can be seen that under the load of 600 and 400 MW of the unit, after the combustion optimization control system is put into operation, the boiler efficiency has increased by 30.58% and 0.41% respectively, and the measured NOx emission has been reduced by 123.5. , 123.8mg/m3, the decline was 12.9%, 11.2%, the optimization effect is significant.
Product Description
Recovery High Speed Door/ Self Recoverable Roller Shutter/Aoto Repair Roller Shutter Door
Advantages:
The advantage of Self Reparing High Speed Doors are self-reparing,easy to clean,complete safe,energy
saving and so on. If the door curtain comes out of its guides(for example in the event of impact with a forklift),
the system will reset the cutrain back intp the guide during the next opening cycle autimatically
Product Description
PVC Curtain
Transparent curtain:1.2mm.
Door Size
Bottom Bar
Radar Sensor
Photocell Sensor
Function:It's stop the door when the door is closing and someone through the door.
Drive System
Our own brand Hofic(380V/220V 50Hz 0.75KW,1.5KW,2.2KW)
Control System
Cover Box
To avoid corrosive thing corrode the roll and dustproof
Running Speed
Opening Speed:0.8m/s - 1.2m/s(Adjustable)
Closing Speed:0.6m/s - 1.0m/s(Adjustable)
Opening Way
Radar sensor+push button for People through
Magnetic loop+push button for forklift through
Main Accessories
Self-Repairing Door Curtain:
Made of reinforced PVC, with flexible weighted soft bottom edge.
The edge of curtain has continuous injection molded teeth that then move up and down in a self-lubricating
polyethylene track attached to structural galvanized side frames.
Application of Combustion Optimization System in 600MW Unit Boiler Control
Application of Combustion Optimization System in Boiler Control of 600 MW Unit 1 Combustion Optimization System Boiler Combustion Optimization System The optimized operation of air distribution and coal blending according to the boiler load and coal type used to improve the boiler combustion efficiency and reduce the NOx emission of flue gas Boiler economic and environmental protection operation. The system is mainly composed of three parts: steady-state and dynamic model, genetic optimization algorithm, and dynamic process control. The neural network model and Kriging model are established through boiler orthogonal performance test data. The real-time data of the boiler operation, optimization of the operating conditions and optimization conditions are optimized. The target is substituted into a neural network model or a Kriging model, and an optimal genetic algorithm is used to obtain the optimal target for each control quantity, and dynamic control is used to complete the optimal adjustment of the boiler state. The results of the boiler optimization control system are shown in Figure 1.