Dust removal control and safety monitoring method for coke oven greenhouse

Abstract

The invention provides a coke oven greenhouse dust removal control and safety monitoring method, and belongs to the technical field of coke oven greenhouse dust removal. The method comprises the following steps: dividing the dust removal system of the coke oven greenhouse according to preset areas, wherein each area comprises a preset number of dust removal branch pipes; collecting coke discharging and coal charging plans of the coke oven and a target oven number of a coke oven vehicle in real time; controlling the coke oven vehicle to run to a preset target oven number according to the coke oven coke discharging and coal charging plan and the target oven number of the coke oven vehicle; acquiring the position information of the coke oven vehicle, and controlling the opening and closing of the dust removal branch pipe in the corresponding area according to the position information of the coke oven vehicle; meanwhile, the concentration of poisonous and harmful gas in the greenhouse is monitored in real time, and when the concentration of the poisonous and harmful gas is larger than a preset threshold value, a safety alarm is triggered and graded exhaust is conducted. Through cooperative control of the dust removal system, the coke oven vehicle and the coke oven production system, timely and effective dust removal is realized, dust removal energy is saved, and meanwhile, dust removal accuracy and effectiveness are guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coke oven shed dust removal, in particular to a coke oven shed dust removal control and safety monitoring method. BACKGROUND

[0002] Unorganized smoke dust generated in the coke oven production process of the coking industry is the main pollution source. In recent years, in order to meet the increasingly stringent environmental protection requirements, coking enterprises generally adopt coke oven shed sealing technology to completely seal the coke oven machinery to prevent smoke dust from overflowing. However, the accumulation of smoke dust in the sealed shed leads to deterioration of the working environment, explosion risk and harm to personnel health, so an efficient dust removal system is needed for real-time purification.

[0003] The existing electric control system mostly adopts decentralized control, and the dust removal unit lacks cooperation with the coke oven production machinery: the dust removal branch valve and the air exchange valve in the coke oven shed need to be controlled manually, and are completely controlled according to the experience of personnel, with large response delay. Moreover, the problem of air exchange when the system fails is not considered, which exists a safety hazard.

[0004] Therefore, a coke oven shed dust removal control and safety monitoring method is needed. SUMMARY

[0005] Therefore, the present application provides a coke oven shed dust removal control and safety monitoring method, which reduces the degree of manual intervention of the coke oven dust removal shed dust removal system through an electric control system, realizes completely automatic operation of the dust removal branch valve, the air exchange valve and the exhaust valve in the coke oven dust removal shed, improves the automation degree of the system, enhances the stability and reliability of the system, reduces the risk of process interruption, reduces the safety operation risk of the coke oven shed, and optimizes the working environment. At the same time, the safety problem of toxic and harmful gas accumulation in the coke oven shed is solved through early warning of the smoke in the shed.

[0006] Therefore, the present application provides the following technical solutions: A coke oven shed dust removal control and safety monitoring method, comprising: The coke oven shed dust removal system is divided according to preset areas, and each area contains a preset number of dust removal branch pipes; Real-time collection of coke oven unloading, coal loading plan and target oven number of coke oven vehicles; According to the coke oven unloading, coal loading plan and target oven number of coke oven vehicles, the coke oven vehicle is controlled to drive to the preset target oven number; the position information of the coke oven vehicle is collected, and the opening and closing of the dust removal branch pipe of the corresponding area are controlled according to the position information of the coke oven vehicle; At the same time, the concentration of toxic and harmful gases in the shed is monitored in real time, and when the concentration of toxic and harmful gases is greater than a preset threshold, a safety alarm is triggered and graded exhaust is performed.

[0007] Further, the position information of the coke oven vehicle includes: The interlocking signal, real-time position signal, oven door opening and closing signal, and high and low speed signal of the coke oven vehicle.

[0008] Further, the opening and closing of the dust removal branch pipe in the corresponding area according to the position information of the coke oven vehicle includes: According to the oven door opening signal, open the dust removal branch pipe in the corresponding area, and start pushing the coke; After the coke pushing is completed, according to the oven door closing signal, close the dust removal branch pipe in the corresponding area.

[0009] Further, the real-time monitoring of the concentration of toxic and harmful gases in the greenhouse includes: The coke oven greenhouse dust removal system is divided into preset areas, and each area is deployed with a preset number of sensors; Calculate the weighted average concentration of multiple sensor data in the target area; The weighted average concentration is used as the concentration of toxic and harmful gases in the target area.

[0010] Further, the calculation of the weighted average concentration of sensor data in the target area includes: Calculate the filter data of a single sensor:

[0011] Wherein, represents the filter data of the sensor at the moment, represents the measurement value of the sensor at the moment, represents the filter output value of the sensor at the moment, represents the filter output value of the sensor at the moment, represents the filter coefficient.

[0012] Based on the filter data of a single sensor, the weighted average concentration of multiple sensor data in the target area is calculated.

[0013] Further, the formula for calculating the weighted average concentration of multiple sensor data in the target area based on the filter data of a single sensor is:

[0014] Wherein, represents the weighted average concentration of multiple sensor data in the target area, represents the total number of sensors in the target area, is the index of the sensor, represents the filter data of the sensor , The weight is inversely proportional to the sensor distance.

[0015] Furthermore, the preset threshold is , in, To preset the tolerance coefficient, This indicates the preset safe concentration threshold.

[0016] Furthermore, the step of triggering a safety alarm and performing graded ventilation when the concentration of toxic and harmful gases exceeds a preset threshold includes: Calculate the dynamic risk index and classify ventilation according to the dynamic risk index; The formula for calculating the dynamic risk index is as follows:

[0017]

[0018]

[0019] in, This indicates a dynamic risk index. Indicates toxicity factor, Indicates the diffusion factor. This indicates the maximum concentration value detected by the sensor within the target area within a preset period. This indicates the number of times the concentration detected by the sensor in the target area exceeds the safe concentration threshold within a preset period.

[0020] Furthermore, the tiered ventilation based on the dynamic risk index includes: If R < 1.5, then record the event; When 2.5 > R ≥ 1.5, the exhaust valves in the target area will be activated; When R≥2.5, all exhaust valves in the coke oven shed will be activated.

[0021] Advantages and positive effects of the present invention: 1) This method achieves timely and effective dust removal by coordinating the dust removal system with the coke oven vehicles and coke oven production system, which saves energy for dust removal while ensuring the accuracy and effectiveness of dust removal.

[0022] 2) This method introduces sensor filtering, multi-sensor joint alarm and dynamic risk assessment to achieve real-time monitoring of toxic and harmful gases in the coke oven shed, ensuring safe production while considering clean emissions.

[0023] By filtering data from sensors, instantaneous interference is eliminated, and the true trend of change is preserved; by using multi-sensor joint alarms, the false alarm rate is reduced; and by combining dynamic risk assessment with graded alarms, the accuracy of safety management is improved.

[0024] 3) This protection does not involve complex equipment, is highly reliable, and is easy to maintain. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart of the dust control method for coke oven sheds in Embodiment 1 of the present invention; Figure 2 This is a flowchart of the dust removal safety management method for coke oven sheds in Embodiment 1 of the present invention; Figure 3 This is a structural diagram of the dust removal control and safety management system for the coke oven shed in Embodiment 2 of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] This invention provides a method for controlling and monitoring the dust removal in a coke oven shed. By integrating a vehicle interlocking system, a coke oven production system, and a coke oven shed dust removal control system, the coke oven shed dust removal system coordinates with the coke oven vehicles and the coke oven production system to achieve automatic operation of the coke oven shed dust removal system.

[0030] Example 1 The dust removal system in the coke oven shed is divided into preset areas, each containing a preset number of dust removal branch pipes. It collects real-time data on coke oven output and coal charging plans, as well as the target oven number of the coke oven vehicles. Based on these data, it controls the coke oven vehicles to travel to the preset target coke oven. It also collects the location information of the coke oven vehicles and controls the opening and closing of the dust removal branch pipes in the corresponding areas. Simultaneously, it monitors the concentration of toxic and harmful gases inside the shed in real-time and, based on preset thresholds, determines whether to trigger a safety alarm.

[0031] In this embodiment, the location information of the coke oven vehicle includes: Interlocking signals, real-time position signals, oven door opening and closing signals, and high and low speed signals for coke oven vehicles.

[0032] In this embodiment, the dust removal system of the coke oven shed is divided into preset areas, and a preset number of sensors are deployed in each area; the weighted average concentration of multiple sensor data in the target area is calculated as the concentration of toxic and harmful gases in the target area.

[0033] Calculate the weighted average concentration of sensor data within the target area: Calculate the filtered data for a single sensor:

[0034] in, Indicates sensor Filtered data at time 10:00 Indicates sensor The measured value at time, Indicates sensor The filtered output value at time t. sensor The filtered output value at time t. This represents the filter coefficients.

[0035] The weighted average concentration of multiple sensor data within the target area is calculated based on filtered data from a single sensor, using the following formula:

[0036] in, This represents the weighted average concentration of data from multiple sensors within the target area. This indicates the total number of sensors within the target area. For the sensor index, Indicates the first Filtered data from each sensor, The weight is inversely proportional to the sensor distance.

[0037] Determine whether to trigger a security alarm based on preset thresholds: when If this is triggered, the tiered alarm control system of the coke oven shed will be activated to complete the ventilation. in, To preset the tolerance coefficient, This indicates the safe concentration threshold.

[0038] The graded alarm control system for the coke oven shed exhaust system completes the exhaust process. The formula for calculating the dynamic risk index is:

[0039]

[0040]

[0041] in, This indicates a dynamic risk index. Indicates toxicity factor, Indicates the diffusion factor. This indicates the maximum concentration value detected by the sensor within the target area within a preset period. This indicates the number of times the concentration detected by the sensor in the target area exceeds the safe concentration threshold within a preset period.

[0042] Based on the dynamic risk index, a tiered alarm system is implemented, and corresponding ventilation measures are taken: If R < 1.5, then record the event; When 2.5 > R ≥ 1.5, the exhaust ventilation in the target area is activated; When R≥2.5, global exhaust ventilation is activated.

[0043] Example 2 Combination Figure 3 The dust control and safety management system for a coke oven shed shown includes: 1. The main control CPU unit receives signals from the vehicle-mounted control unit, production acquisition unit, dust removal control unit, toxic and harmful gas detection unit, and greenhouse emission control unit via a wireless communication unit. After calculation as described in Example 1, the signals are fed back to each unit. Preferably, a Siemens S7-1513 PLC controller is used to achieve a distributed structure and user-friendly HMI interface operation. Installed in the low-voltage power distribution room of the coke oven greenhouse dust removal system, it controls the dust collector, dust removal branch pipe valves within the greenhouse, and greenhouse ventilation valves. It has a standard Modbus-RTU protocol with an RS485 interface and can communicate with other units in the system via the Profinet communication protocol or other open industrial communication protocols.

[0044] 2. The on-board control unit collects vehicle interlock signals, real-time position signals, oven door opening / closing signals, and high / low speed signals, while also receiving dust collector fan status signals from the main control CPU unit. Preferably, a Siemens S7-1211C PLC controller is used, installed in the coke oven vehicle's power distribution room or driver's cab, and communicates with the coke oven vehicle's PLC controller via the Profinet communication protocol or the Siemens S7 protocol.

[0045] 3. Production data acquisition unit: This unit collects coke oven output and coal charging plans, as well as the target oven number of the coke oven vehicles, and sends the data to the main control CPU unit. Preferably, a Siemens S7-1211C PLC controller is used, installed in the central control room, and communicates with the coke oven production system via the Profinet communication protocol or the Siemens S7 protocol.

[0046] 4. Dust removal control unit, which receives the dust removal fan start or stop signal sent by the main control CPU unit.

[0047] 5. Greenhouse Ventilation Control Unit: Receives signals from the main control CPU unit indicating whether the exhaust valves are open or closed. Preferably, a Siemens S7-1211C PLC controller is used, installed inside the coke oven greenhouse, primarily for controlling the emergency exhaust valves at the top of the greenhouse.

[0048] 6. Toxic and Harmful Gas Detection Unit: The unit uses the principle of electrochemical reaction to collect toxic and harmful gases. The gases are then connected to the main control CPU unit via an analog signal of 4-20mA. The main control CPU unit uses the sensor data filtering, multi-sensor joint alarm processing, and dynamic risk level assessment to direct the greenhouse emission control unit to complete the alarm or emission.

[0049] 7. Wireless Communication Unit: The system employs an industrial-grade XT-RS01 wireless data acquisition terminal. The wireless terminal is equipped with a standard Modbus-RTU protocol using an RS485 interface, operating at a frequency range of 410~510MHz, with 8 adjustable air speeds (1.2, 2.4, 4.8, 9.6, 19.2, 38.4, 50.70kbps), a transmission distance ≤3km, and a communication latency of 2ms / km / 10bit. The wireless communication system uses a 1 master station + 8 slave stations configuration. The master station is installed in the low-voltage power distribution room of the coke oven shed, communicating with the main control CPU unit via the Modbus-RTU protocol. The 8 slave stations are installed on the coke pusher, coal charging car, coke quencher, and flue gas reversing car of the coke oven vehicles, communicating with each other via the Modbus-RTU protocol. The wireless communication system primarily serves as the data communication link between the main control CPU unit and the vehicle control units, ensuring stable data transmission between them.

[0050] Example 3 Each system unit completes its power-on self-test, and all units maintain good communication and normal data transmission. The dust collectors in the greenhouse dust removal system are running. The system obtains the coke oven production plan furnace number by reading data from the production acquisition unit. After the coke oven machinery (coke pusher, coke quencher, and backdraft car) are in position, the system obtains the working furnace number information of the coke oven machinery and the coke oven door opening signal through the vehicle-mounted control unit. The main control CPU unit controls the opening of the dust removal branch valve corresponding to the furnace number currently being pushed and charged inside the greenhouse. After the coke pushing and coal charging of this furnace number is completed, the system reads the coke oven machinery position information and furnace door status to determine that the coal charging and coke pushing of this furnace number has ended. The main control CPU unit controls the closing of the dust removal branch valve corresponding to the furnace number currently being pushed and charged inside the greenhouse and opens the greenhouse ventilation valve in this area until the next coal charging and coke pushing begins.

[0051] During the mechanical coke pushing and coal charging process in the coke oven, the toxic and harmful gas detection unit monitors the content of toxic and harmful gases accumulated inside the greenhouse in real time through sensor data filtering, multi-sensor joint alarm processing, and dynamic risk level assessment technology. When the dynamic risk assessment grading threshold R < 1.5, the system only records events; when the dynamic risk assessment grading threshold 2.5 > R ≥ 1.5, the greenhouse emission control unit controls the opening of the exhaust valves in this area, and the main control CPU unit controls the opening of the dust removal branch pipe valves and the greenhouse ventilation valves simultaneously, while generating alarm information; when the dynamic risk assessment grading threshold R ≥ 2.5, it indicates that the toxic and harmful gases accumulated in the system have reached the explosion hazard value. The greenhouse emission control unit controls the opening of all exhaust valves in the greenhouse, and the main control CPU unit controls the opening of all dust removal branch pipe valves and the greenhouse ventilation valves simultaneously, rapidly releasing the toxic and harmful gases and exchanging the air in the greenhouse in a very short time, while generating alarm information.

[0052] The system monitors the communication status, operating status, and monitoring parameters of each unit in real time. When a fault occurs or an alarm value is reached, it will record and save the information in a timely manner, generate alarm information of the corresponding level, and issue pop-up alarms or audible and visual alarms according to the alarm level.

[0053] This method enables automated coke pushing in coke oven sheds and real-time monitoring of toxic and harmful gases inside the sheds, ensuring safe production in coke oven sheds.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for dust control and safety monitoring in a coke oven shed, characterized in that, include: The dust removal system in the coke oven shed is divided into preset areas, and each area contains a preset number of dust removal branch pipes. Real-time data collection of coke oven output, coal charging plans, and target oven numbers for coke oven vehicles; Based on the coke oven coking and coal charging plan and the target oven number of the coke oven vehicles, the coke oven cars are controlled to travel to the preset target oven number; the location information of the coke oven vehicles is collected, and the opening and closing of the dust removal branch pipes in the corresponding area are controlled based on the location information of the coke oven vehicles; Simultaneously, the concentration of toxic and harmful gases inside the greenhouse is monitored in real time. When the concentration of toxic and harmful gases exceeds the preset threshold, a safety alarm is triggered and tiered ventilation is implemented.

2. The method according to claim 1, characterized in that, The location information of the coke oven vehicles includes: Interlocking signals, real-time position signals, oven door opening and closing signals, and high and low speed signals for coke oven vehicles.

3. The method according to claim 1, characterized in that, The control of opening and closing of dust removal branch pipes in corresponding areas based on the location information of coke oven vehicles includes: Based on the furnace door opening signal, the corresponding dust removal branch pipe is opened, and coke pushing begins; After the coke pushing is completed, close the dust removal branch pipes in the corresponding area according to the furnace door closing signal.

4. The method according to claim 1, characterized in that, The real-time monitoring of toxic and harmful gas concentrations inside the greenhouse includes: The dust removal system in the coke oven shed is divided into preset areas, and a preset number of sensors are deployed in each area. Calculate the weighted average concentration of data from multiple sensors within the target area; The weighted average concentration is used as the concentration of toxic and harmful gases in the target area.

5. The method according to claim 4, characterized in that, The weighted average concentration of sensor data within the target area is calculated, including: Calculate the filtered data for a single sensor: in, Indicates sensor Filtered data at time 10:00 Indicates sensor The measured value at time, Indicates sensor The filtered output value at time t. sensor The filtered output value at time t. This represents the filter coefficients. The weighted average concentration of multiple sensor data within the target area is calculated based on the filtered data from a single sensor.

6. The method according to claim 5, characterized in that, The weighted average concentration of multiple sensor data within the target area is calculated based on filtered data from a single sensor, using the following formula: in, This represents the weighted average concentration of data from multiple sensors within the target area. This indicates the total number of sensors within the target area. For the sensor index, Indicates the first Filtered data from each sensor, The weight is inversely proportional to the sensor distance.

7. The method according to claim 1, characterized in that, The preset threshold is , in, To preset the tolerance coefficient, This indicates the preset safe concentration threshold.

8. The method according to claim 7, characterized in that, The procedure of triggering a safety alarm and performing graded ventilation when the concentration of toxic and harmful gases exceeds a preset threshold includes: Calculate the dynamic risk index and classify ventilation according to the dynamic risk index; The formula for calculating the dynamic risk index is as follows: in, This indicates a dynamic risk index. Indicates toxicity factor, Indicates the diffusion factor. This indicates the maximum concentration value detected by the sensor within the target area within a preset period. This indicates the number of times the concentration detected by the sensor in the target area exceeds the safe concentration threshold within a preset period.

9. The method according to claim 7, characterized in that, The tiered ventilation system based on the dynamic risk index includes: If R < 1.5, then record the event; When 2.5 > R ≥ 1.5, the exhaust valves in the target area will be activated; When R≥2.5, all exhaust valves in the coke oven shed will be activated.

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