A wet desulfurization system for glass furnace flue gas treatment

Abstract

The present application relates to a wet desulfurization system for treating flue gas of a glass furnace, which comprises a pretreatment mixer for mixing and pretreating glass flue gas, a desulfurization tower for desulfurizing and purifying glass flue gas, a flue gas delivery pipeline assembly for conveying glass flue gas, a glass flue gas analyzer for analyzing the composition of glass flue gas, and a desulfurization controller for controlling the desulfurization and purification of glass flue gas, wherein the pretreatment mixer, the desulfurization tower, the flue gas delivery pipeline assembly, and the glass flue gas analyzer are all connected to the desulfurization controller for communication; the desulfurization controller obtains the order information to be produced in real time to determine the production plan for the next production cycle, makes decisions to generate a production desulfurization plan, allocates absorption slurry during glass production, and controls the flue gas delivery pipeline assembly, the pretreatment mixer, and the flue gas analyzer to cooperate with the desulfurization tower to desulfurize and purify the flue gas. The present application has the effect of effectively improving the flue gas desulfurization efficiency.

Description

Technical Field

[0001] The present application relates to the field of flue gas desulfurization, and in particular to a wet desulfurization system for treating flue gas from a glass furnace. Background Art

[0002] With the rapid development of economy, glass products are widely used in photovoltaic, aerospace, construction, industry and communication and other fields, and the demand is increasing. Glass is generally made of a variety of inorganic minerals as the main raw materials, and a small amount of auxiliary raw materials are added. Glass kiln is a kind of production equipment that must be owned by the glass manufacturing industry. During operation, a large amount of dusty flue gas will be generated. If it is directly discharged, it will cause serious pollution to the environment.

[0003] Wet desulfurization is the mainstream process for removing acidic gas pollutants in thermal power plants, steel, chemical and other industries. Because most industries mainly use it to remove sulfur-containing acidic gases in flue gas, it is called a desulfurization system. In actual use, the wet desulfurization process can be used to remove many kinds of acidic gases, not just sulfuric acid gases. Wet desulfurization uses alkaline solution to spray the flue gas to be treated in the desulfurization tower to absorb sulfur oxides (sulfur dioxide, sulfur trioxide) and some acidic gases (hydrogen chloride, hydrogen fluoride, etc.) in the flue gas to achieve flue gas purification.

[0004] However, the existing wet flue gas desulfurization has the problems of expensive equipment, difficult maintenance, and small scope of application. Therefore, when faced with production tasks, existing enterprises will plan multiple production plants but only establish one flue gas desulfurization system. However, different glass production processes and raw material formulas often result in differences in glass flue gas composition due to the different raw materials and fuels used. It is necessary to use absorption slurries with different components to achieve efficient desulfurization and maintain the good performance and stability of the slurry. This has led to the fact that in order to meet the flue gas emission standards, enterprises can only carry out order production in sequence and activate corresponding production equipment according to the order scale. Only when faced with large production orders can all production plants be started to achieve production saturation. Moreover, the slurry for existing flue gas desulfurization spraying is mostly prefabricated in advance. It is necessary to prepare the slurry in advance and set up a cache tank for storing the slurry. It is monitored and replenished by sensors to maintain the slurry concentration and reserves in the tower.

[0005] This results in the company being able to produce only one type of glass at a time when faced with different glass production tasks due to the limited number of flue gas desulfurization systems. This not only fails to fully liberate productivity, but also easily reduces the flue gas desulfurization efficiency due to frequent adjustment and replacement of the absorption slurry. Summary of the invention

[0006] In order to solve the problem that when existing enterprises face different glass production tasks, they are prone to frequent adjustment and replacement of absorption slurry due to insufficient number of flue gas desulfurization systems, which greatly reduces the flue gas desulfurization efficiency, the present application provides a wet desulfurization system for glass furnace flue gas treatment.

[0007] In the first aspect, the present application provides a wet desulfurization system for treating flue gas from a glass furnace, which adopts the following technical solution:

[0008] A wet desulfurization system for treating flue gas from a glass furnace comprises a pretreatment mixer for mixing and pretreating glass flue gas, a desulfurization tower for desulfurizing and purifying glass flue gas, a flue gas conveying pipeline assembly for conveying glass flue gas, a glass flue gas analyzer for analyzing the composition of glass flue gas, and a desulfurization controller for controlling the desulfurization and purification of glass flue gas. The pretreatment mixer, desulfurization tower, flue gas conveying pipeline assembly and glass flue gas analyzer are all communicatively connected with the desulfurization controller; the desulfurization controller obtains order information to be produced in real time to determine the production plan for the next production cycle, makes decisions to generate a production desulfurization plan, mixes absorption slurry when producing glass, and controls the flue gas conveying pipeline assembly, the pretreatment mixer and the flue gas analyzer to cooperate with the desulfurization tower to desulfurize and purify the flue gas.

[0009] Preferably, the desulfurization tower includes a tower body and a slurry pool, a swirl coupling device, a spray component and a demister installed inside the tower body in order from bottom to top; the slurry pool is connected to a storage tank for preparing and storing absorption slurry; the spray component includes multiple groups of spray discs and a circulating water pump, the water inlet of the circulating water pump is connected to the slurry pool, and the water outlet is connected to the spray disc; the spray disc is composed of a plurality of fan-shaped spray parts that are combined with each other to form a disc, and the plurality of fan-shaped spray parts each include a plurality of spray pipes and a plurality of spray nozzles installed at the bottom of the spray pipe; the exterior of the plurality of fan-shaped spray parts are connected to a water curtain pipe along the inner wall of the tower body, and the water curtain pipe is equipped with a plurality of water curtain nozzles facing the inner wall of the tower body.

[0010] Preferably, the pretreatment mixer includes a tank body and a mixing assembly installed in the tank body for promoting gas mixing, the mixing assembly includes a mounting rod horizontally placed inside the tank body and a plurality of arc-shaped mixing plates, the plurality of arc-shaped mixing plates are sequentially installed at the bottom of the mounting rod along the length direction of the mounting rod; two conveying pipes for conveying exhaust flue gas from each glass furnace are provided under the plurality of arc-shaped mixing plates, and the plurality of conveying pipes are sequentially staggered along the length direction of the mounting rod.

[0011] Preferably, a dust removal screen is embedded on the top of each of the arc-shaped mixing plates, and the mesh size of the dust removal screen is 300-500 meshes; a micro vibration motor is installed on each of the arc-shaped mixing plates, and an ash hopper is provided at the bottom of the tank body.

[0012] Preferably, a plurality of mixing fans are arranged on the mounting rod, the plurality of mixing fans correspond one-to-one to the plurality of arc-shaped mixing plates, the mixing fans are located directly above the arc-shaped mixing plates, and the wind direction of the mixing fans is arranged from bottom to top.

[0013] Preferably, the real-time acquisition of order information to be produced to determine the production plan for the next production cycle specifically includes the following steps:

[0014] Acquire order information of each order to be produced in real time, the order information including basic information of workpieces, quantity of workpieces, unit price of workpieces and delivery deadline;

[0015] Determine the recipe information of each order based on the basic information of the workpiece of each order, and simulate the order production process based on the recipe information to determine the smoke composition information of each order and the production time required to complete the order; the smoke composition information includes the main pollutants and secondary pollutants and their respective component proportions;

[0016] According to the smoke composition information of each order, orders with similar smoke composition are extracted through a preset composition analysis model, and several bundled order groups and several single orders are generated by combination; the composition analysis model is a machine learning model, which is obtained by training with historical production data;

[0017] Based on the delivery deadline and production time of each order, each bundled order group and single order are sorted to determine the production plan for the next production cycle.

[0018] Preferably, extracting orders with similar smoke components through a preset component analysis model according to the smoke component information of each order, and combining and generating a plurality of bundled order groups and a plurality of single orders specifically comprises the following steps:

[0019] Obtain enterprise equipment information to determine the maximum number of orders that can be produced in parallel;

[0020] According to the smoke composition information of each order, the preset component analysis model is used to extract orders with consistent main pollutants in the smoke composition and a secondary pollutant type overlap greater than a preset overlap threshold, and the orders with similar components are classified to obtain several order collections and several single orders;

[0021] The latest start date of each order is determined according to the delivery deadline and production time of each order, and the orders with the largest number of orders are selected in each order collection in order according to the latest start date to form a bundled order group.

[0022] Preferably, the step of sorting the bundled order groups and the single order based on the delivery deadline and production duration of each order to determine the production plan for the next production cycle specifically includes the following steps:

[0023] Based on the delivery deadline and production duration of each order, the earliest latest start date in each bundled order group is selected as the latest start date of the bundled order group;

[0024] Sort each bundled order group and single order according to the latest start date to generate an order sequence table;

[0025] The generated order sequence table is input into a preset planning model to determine the production plan for the next production cycle; the planning model is a machine learning model that is iteratively trained based on a greedy algorithm using historical production planning data.

[0026] Preferably, the decision-making to generate a production desulfurization plan specifically includes the following steps:

[0027] Generate an order production plan for each order bundle group and a single order in the production plan according to the order information of each order in the production plan through a preset plan matching model, wherein the order production plan includes formula information, glass production process information and production equipment parameter information; the plan matching model is a machine learning model obtained through iterative training through historical glass production data and flue gas desulfurization data;

[0028] Generate a desulfurization scheme for each order bundle group and a single order matching decision in the production plan through a preset scheme matching model according to the production plan, wherein the desulfurization scheme includes at least one absorption slurry formula information, desulfurization process flow information and desulfurization equipment parameter information;

[0029] The order production plans and desulfurization plans of each order bundling group or a single order are associated to generate process prompt information, and the production desulfurization plan is packaged to generate the production desulfurization plan, which includes the order production plan, desulfurization plan and process prompt information of at least one order bundling group and / or the order production plan, desulfurization plan and process prompt information of at least one single order.

[0030] Preferably, the step of preparing the absorption slurry during glass production, controlling the flue gas conveying pipeline assembly, the pretreatment mixer and the flue gas analyzer to cooperate with the desulfurization tower to desulfurize and purify the flue gas specifically includes the following steps:

[0031] After entering the next production cycle, the production desulfurization plan is sent to the production controller preset by the enterprise. The production controller controls each glass production line of the enterprise to produce glass according to the production plan according to the production desulfurization plan, and sends a progress prompt information to the desulfurization controller after reaching the specified production process;

[0032] After receiving the process prompt information, the desulfurization controller prepares the absorption slurry according to the desulfurization plan, and sends the desulfurization equipment parameter information to the pretreatment mixer, desulfurization tower, flue gas conveying pipeline components and glass flue gas analyzer for parameter setting;

[0033] The desulfurization controller generates desulfurization control instructions based on the desulfurization process information, and controls the flue gas conveying pipeline components to transport the glass furnace flue gas to the pretreatment mixer, glass flue gas analyzer and desulfurization tower in sequence for mixing, sampling verification and desulfurization purification.

[0034] In summary, the present application includes at least one of the following beneficial technical effects:

[0035] 1. The desulfurization controller obtains the order information to be produced in real time, simulates and determines the flue gas generation of each order, and then determines the orders with similar flue gas components. These orders with similar flue gas components are coordinated to determine the production plan on the basis of meeting the order delivery, and the production desulfurization plan is matched with the intelligent decision-making of the flue gas after the coordinated production is mixed according to the production plan, so as to realize the coordinated linkage of glass production and flue gas desulfurization, and synchronize the production of orders with similar flue gas components according to the actual production scale of the enterprise, and pre-dispense the absorption slurry according to the production process to realize intelligent and automated flue gas desulfurization, which can effectively purify the flue gas discharged from the glass furnace while liberating the productivity of the enterprise, reduce the number of slurry deployment and switching, and effectively improve the flue gas desulfurization efficiency on the basis of effectively improving the production efficiency of the enterprise;

[0036] 2. When multiple orders with similar flue gas components are produced simultaneously, the flue gas from each glass furnace is transported to the prefabricated mixer through each delivery pipe. Two delivery pipes under the same arc-shaped mixing plate transport two different flue gases to impact the bottom of the arc-shaped mixing plate, and form a vortex under the guidance of the arc surface for preliminary mixing, which helps to promote the mixing of various gases in the tank, making it easier for the subsequent desulfurization tower to efficiently desulfurize the mixed flue gas;

[0037] 3. Based on the actual order accumulation of the enterprise, the order production process is simulated to determine the flue gas composition information of each order and the production time required to complete the order, and then the orders with similar flue gas composition are extracted through the composition analysis model. On the basis of meeting the on-time delivery of the orders, the orders with similar flue gas composition are bundled based on the actual production capacity of the enterprise to ensure that the various production plants of the enterprise can stably liberate productivity and improve production efficiency; then the mixed flue gas of the bundled order group is intelligently matched with the desulfurization plan, and the absorption slurry is modulated in a targeted manner to realize the centralized desulfurization treatment of different glass flue gases, effectively reducing the number of slurry preparation times, saving desulfurization costs, and achieving the effect of effectively improving the efficiency and quality of flue gas desulfurization. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1This is a system block diagram of a wet desulfurization system for treating flue gas from a glass furnace in an embodiment of the present application;

[0039] Figure 2 is a schematic cross-sectional structure diagram of a pretreatment mixer in an embodiment of the present application;

[0040] Figure 3 It is a schematic diagram of the cross-sectional structure of a desulfurization tower in an embodiment of the present application;

[0041] Figure 4 is a bottom view of the spray plate in the embodiment of the present application;

[0042] Figure 5 is a flow chart of a method for determining a production plan for the next production cycle in an embodiment of the present application;

[0043] Figure 6 is a flow chart of a method for extracting orders with similar smoke components in an embodiment of the present application;

[0044] Figure 7 It is a flow chart of a method for sorting orders and determining a production plan in an embodiment of the present application;

[0045] Figure 8 It is a flow chart of the method for packaging and generating a production desulfurization scheme in an embodiment of the present application;

[0046] Fig. 9 It is a flow chart of the method for flue gas desulfurization in the embodiment of the present application.

[0047] Explanation of the reference numerals: 1. Pretreatment mixer; 11. Tank body; 12. Mixing assembly; 121. Mounting rod; 122. Arc-shaped mixing plate; 123. Delivery pipe; 124. Dust removal screen; 125. Micro vibration motor; 126. Ash hopper; 127. Mixing fan; 2. Desulfurization tower; 21. Slurry pool; 22. Swirl coupling device; 23. Spray component; 231. Spray disc; 232. Circulating water pump; 233. Fan-shaped spray component; 234. Spray pipe; 235. Spray nozzle; 236. Water curtain pipe; 237. Water curtain nozzle; 24. Defogger; 25. Storage tank; 3. Flue gas delivery pipeline assembly; 4. Glass flue gas analyzer; 5. Desulfurization controller. DETAILED DESCRIPTION

[0048] The following is combined with Figure 1-9 This application is described in further detail.

[0049] The present application embodiment discloses a wet desulfurization system for treating flue gas from a glass furnace. Figure 1, a wet desulfurization system for treating flue gas from a glass furnace, comprising a pretreatment mixer 1 for mixing and pretreating glass flue gas, a desulfurization tower 2 for desulfurizing and purifying glass flue gas, a flue gas delivery pipeline assembly 3 for conveying glass flue gas, a glass flue gas analyzer 4 for analyzing the composition of glass flue gas, and a desulfurization controller 5 for controlling the desulfurization and purification of glass flue gas. The pretreatment mixer 1, the desulfurization tower 2, the flue gas delivery pipeline assembly 3, and the glass flue gas analyzer 4 are all in communication connection with the desulfurization controller 5. The desulfurization controller 5 obtains the order information to be produced in real time to determine the production plan for the next production cycle, makes decisions to generate a production desulfurization plan, mixes absorption slurry during glass production, and controls the flue gas delivery pipeline assembly 3, the pretreatment mixer 1, and the flue gas analyzer to cooperate with the desulfurization tower 2 to desulfurize and purify the flue gas. The desulfurization controller 5 obtains the order information to be produced in real time, simulates and determines the flue gas generation of each order, and then determines the orders with similar flue gas components. These orders with similar flue gas components are coordinated to determine the production plan on the basis of meeting the order delivery, and the production desulfurization plan is matched with the production intelligent decision for the flue gas mixed after the coordinated production according to the production plan, so as to realize the coordinated linkage of glass production and flue gas desulfurization, and synchronize the production of orders with similar flue gas components according to the actual production scale of the enterprise, and pre-dispose the absorption slurry according to the production process to realize intelligent and automated flue gas desulfurization, which can effectively purify the flue gas discharged from the glass furnace while liberating the productivity of the enterprise, reduce the number of slurry mixing and switching, and effectively improve the flue gas desulfurization efficiency on the basis of effectively improving the production efficiency of the enterprise.

[0050] Reference Figure 2 The pretreatment mixer 1 includes a tank body 11 and a mixing assembly 12 installed in the tank body 11 for promoting gas mixing. The mixing assembly 12 includes a mounting rod 121 and a plurality of arc-shaped mixing plates 122 placed horizontally inside the tank body 11. The plurality of arc-shaped mixing plates 122 are sequentially installed at the bottom of the mounting rod 121 along the length direction of the mounting rod 121. Two delivery pipes 123 for conveying exhaust flue gas from each glass furnace are arranged below the plurality of arc-shaped mixing plates 122. The plurality of delivery pipes 123 are sequentially staggered along the length direction of the mounting rod 121. When multiple orders with similar flue gas components are produced simultaneously, the flue gas from each glass furnace is conveyed to the prefabricated mixer through each delivery pipe 123. The two delivery pipes 123 under the same arc-shaped mixing plate 122 convey two different flue gases to impact the bottom of the arc-shaped mixing plate 122, and form a vortex under the guidance of the arc-shaped surface for preliminary mixing, which helps to promote the mixing of various gases in the tank body 11 and facilitates the subsequent desulfurization tower 2 to efficiently desulfurize the mixed flue gas.

[0051] Reference Figure 2, a dust removal screen 124 is embedded on the top of the multiple curved mixing plates 122, and the mesh number of the dust removal screen 124 is 300-500 mesh; a micro vibration motor 125 is installed on the multiple curved mixing plates 122, and an ash hopper 126 is provided at the bottom of the tank body 11. Although the flue gas discharged from each glass furnace has been dusted in the previous waste heat utilization process, a considerable amount of fine dust still remains. Through the setting of the dust removal screen 124, the conveying pipe 123 can be blown to the curved mixing plate 122 for filtering, and the fine dust contained in the flue gas can be screened out, which helps to improve the subsequent flue gas desulfurization effect. By setting up a micro vibration motor 125, the dust on the dust removal screen 124 can be vibrated and cleaned when the pretreatment mixer 1 is idle, so that the dust falls into the ash hopper 126, which helps to maintain the performance of the dust removal screen 124.

[0052] In addition, the mesh number of the conventional dust removal screen 124 is mostly 100-200 meshes. The present application sets the dust removal screen 124 with a mesh number of 300-500 meshes, which can effectively increase the difficulty of smoke passing through. The smoke output from the conveying pipe 123 will still have a part of the gas passing through the dust removal screen 124 for dust removal under the impetus of its high flow rate. Most of the smoke will still form vortices under the guidance of the curved surface of the curved mixing plate 122 when it is difficult to pass through, and mix with each other. At the same time, because the gas that does not pass through will also pass through the bottom of the dust removal screen 124, a considerable amount of dust will still be intercepted, thereby achieving smoke dust removal and efficient smoke mixing at the same time.

[0053] Reference Figure 2 A plurality of mixing fans 127 are arranged on the mounting rod 121, and the plurality of mixing fans 127 correspond to the plurality of arc-shaped mixing plates one by one. The mixing fans 127 are located directly above the arc-shaped mixing plates, and the wind direction of the mixing fans 127 is arranged from bottom to top. By setting the mixing fans 127, the smoke overflowing from the edge of the arc-shaped mixing plates 122 can be efficiently guided to form a stable mixing channel, further promoting efficient and uniform mixing of the smoke.

[0054] Reference Figure 3 and Figure 4The desulfurization tower 2 includes a tower body and a slurry pool 21, a swirl coupling device 22, a spray component 23 and a demister 24 installed inside the tower body from bottom to top. The slurry pool 21 is connected to a storage tank 25 for preparing and storing absorption slurry. The spray component 23 includes multiple groups of spray discs 231 and a circulating water pump 232. The water inlet of the circulating water pump 232 is connected to the slurry pool 21, and the water outlet is connected to the spray disc 231. The spray disc 231 is composed of a plurality of fan-shaped spray parts 233 that are combined and surrounded to form a disc. The plurality of fan-shaped spray parts 233 each include a plurality of spray pipes 234 and a plurality of spray nozzles 235 installed at the bottom of the spray pipe 234. The exterior of the plurality of fan-shaped spray parts 233 is connected to a water curtain pipe 236 along the inner wall of the tower body, and the water curtain pipe 236 is installed with a plurality of water curtain nozzles 237 facing the inner wall of the tower body. By setting up the desulfurization tower 2, the slurry can be pre-prepared according to the production plan, and the flue gas from the glass furnace is introduced into the desulfurization tower 2. Under the cooperation of the swirl coupling device 22 and the spray component 23, the flue gas is evenly distributed and accelerated to rise under the action of the swirl blades of the swirl coupling device 22, and violently collides with the high-speed rotating slurry sprayed on the upper part of the swirl and the spray component 23. The airflow is dispersed into a large number of tiny bubbles and mixed in the slurry. At the same time, the high-speed airflow provides continuous rotational power for the slurry; the full mixing of the tiny bubbles and the slurry causes the flue gas to cool down quickly, and the increase in the contact area of ​​the two-phase membrane of gas and liquid promotes the mass transfer effect of gas-liquid, thereby effectively improving the efficiency and quality of flue gas desulfurization.

[0055] Reference Figure 5 The real-time acquisition of order information to be produced to determine the production plan for the next production cycle specifically includes the following steps:

[0056] A1. Obtaining order information of each order to be produced in real time, wherein the order information includes basic information of workpieces, quantity of workpieces, unit price of workpieces and delivery deadline;

[0057] A2. Simulate the order production process: determine the recipe information of each order based on the basic information of the workpiece of each order, and simulate the order production process based on the recipe information to determine the smoke composition information of each order and the production time required to complete the order; the smoke composition information includes the main pollutants and secondary pollutants and their respective component proportions;

[0058] A3. Extracting orders with similar smoke components: extracting orders with similar smoke components through a preset component analysis model based on the smoke component information of each order, and combining and generating a number of bundled order groups and a number of single orders; the component analysis model is a machine learning model, which is obtained by training with historical production data; it should be noted that the specific training steps of the machine learning model are prior art and will not be repeated here;

[0059] A4. Determine the production plan for the next production cycle: Sort each bundled order group and single order based on the delivery deadline and production time of each order to determine the production plan for the next production cycle. Based on the actual order accumulation of the company, simulate the order production process to determine the flue gas composition information of each order and the production time required to complete the order, and then extract orders with similar flue gas composition through the component analysis model. On the basis of meeting the on-time delivery of the order and based on the actual production capacity of the company, bundle the orders with similar flue gas composition to ensure that the various production plants of the company can stably liberate productivity and improve production efficiency; then intelligently decide on the mixed flue gas of the bundled order group to match the desulfurization plan, and specifically modulate the absorption slurry to achieve centralized desulfurization treatment of different glass flue gases, effectively reduce the number of slurry preparations, save desulfurization costs, and effectively improve the efficiency and quality of flue gas desulfurization.

[0060] Reference Figure 6 The method of extracting orders with similar smoke components through a preset component analysis model according to the smoke component information of each order, and combining and generating a plurality of bundled order groups and a plurality of single orders specifically includes the following steps:

[0061] B1. Obtain enterprise equipment information to determine the maximum number of orders that can be produced in parallel;

[0062] B2. Classify orders with similar components: According to the smoke composition information of each order, extract orders with consistent main pollutants in the smoke composition and a secondary pollutant type overlap greater than a preset overlap threshold through a preset component analysis model, classify orders with similar components, and obtain several order collections and several single orders;

[0063] B3. Select orders to form a bundled order group: Determine the latest start date of each order based on the delivery deadline and production time of each order, and select the largest number of orders in each order collection in order according to the latest start date to form a bundled order group. Extract orders with similar flue gas components through the component analysis model for classification, and then select the corresponding number of orders in each order collection in turn according to the actual production capacity of the enterprise to bundle and group, so as to realize the coordinated production of orders with similar flue gas components, and then uniformly treat the generated flue gas, effectively reduce the number of slurry preparations, save desulfurization costs, and effectively improve the efficiency and quality of flue gas desulfurization.

[0064] For example, if there are five orders with similar flue gas components in a collection of orders with similar flue gas components, and the actual production capacity of the enterprise can only support the simultaneous production of three orders, at this time, according to the order of the latest start date, the three orders with the earliest dates are selected for bundling, and then the remaining two orders with the latest start dates are bundled.

[0065] Reference Figure 7 The step of sorting the bundled order groups and the single order based on the delivery deadline and production duration of each order and determining the production plan for the next production cycle specifically includes the following steps:

[0066] C1. Determine the latest start date of the bundled order group: based on the delivery deadline and production duration of each order, select the earliest latest start date in each bundled order group as the latest start date of the bundled order group;

[0067] C2. Sorting to generate order sequence table: sorting each bundled order group and single order according to the latest start date to generate an order sequence table;

[0068] C3. Determine the production plan for the next production cycle: input the generated order sequence table into the pre-set planning model to determine the production plan for the next production cycle; the planning model is a machine learning model that is obtained by iterative training based on the greedy algorithm through historical production planning data. Through the setting of the planning model, the bundled order group and single order with the latest start date in the next production cycle are screened and treated as the orders that must be carried out. Through the greedy algorithm, as many orders as possible are arranged to generate production plans within the remaining idle production time in the next production cycle. On the basis of effectively improving production efficiency, efficient flue gas desulfurization is achieved, achieving the effect of effectively improving desulfurization efficiency.

[0069] Reference Figure 8 The decision-making process for generating a production desulfurization plan specifically includes the following steps:

[0070] D1. Matching and generating order production plans: According to the order information of each order in the production plan, an order production plan is generated for each order bundle group and a single order in the production plan through a preset plan matching model, wherein the order production plan includes formula information, glass production process information, and production equipment parameter information; the plan matching model is a machine learning model obtained through iterative training using historical glass production data and flue gas desulfurization data;

[0071] D2. Generate desulfurization plan through matching decision: Generate desulfurization plan for each order bundle group and single order matching decision in the production plan through a preset plan matching model according to the production plan, wherein the desulfurization plan includes at least one absorption slurry formula information, desulfurization process flow information and desulfurization equipment parameter information;

[0072] D3. Package and generate production desulfurization schemes: associate the order production schemes and desulfurization schemes of each order bundle group or a single order to generate process prompt information, and package and generate production desulfurization schemes, the production desulfurization schemes including at least one order bundle group's order production scheme, desulfurization scheme and process prompt information and / or at least one single order's order production scheme, desulfurization scheme and process prompt information. Through the scheme matching model, intelligent decision-making generates order production schemes and desulfurization schemes for each order bundle group and a single order, realizes the automation of order production and flue gas desulfurization, and saves manpower and material resources; and associates the order production scheme and the desulfurization scheme to generate process prompt information, and sends the process prompt information to the desulfurization controller 5 after the specified production process is carried out, which can more accurately allocate the prefabricated absorption slurry, improve the performance of the absorption slurry, realize the linkage of production and desulfurization, and simultaneously promote the order production efficiency and flue gas desulfurization efficiency.

[0073] Reference Fig. 9 The preparation of the absorption slurry during glass production, the control of the flue gas conveying pipeline assembly 3, the pretreatment mixer 1 and the flue gas analyzer to cooperate with the desulfurization tower 2 to desulfurize and purify the flue gas specifically includes the following steps:

[0074] E1. Sending progress prompt information: after entering the next production cycle, the production desulfurization plan is sent to the production controller preset by the enterprise. The production controller controls each glass production line of the enterprise to produce glass according to the production plan according to the production desulfurization plan, and sends the progress prompt information to the desulfurization controller 5 after reaching the specified production process;

[0075] E2. Prepare absorption slurry: After receiving the process prompt information, the desulfurization controller 5 prepares the absorption slurry according to the desulfurization plan, and sends the desulfurization equipment parameter information to the pretreatment mixer 1, the desulfurization tower 2, the flue gas conveying pipeline component 3 and the glass flue gas analyzer 4 for parameter setting;

[0076] E3, glass flue gas desulfurization: the desulfurization controller 5 generates desulfurization control instructions based on the desulfurization process information, and controls the flue gas delivery pipeline component 3 to sequentially deliver the glass furnace flue gas to the pretreatment mixer 1, the glass flue gas analyzer 4 and the desulfurization tower 2 for mixing, sampling verification and desulfurization purification. According to the production desulfurization plan, the order production and flue gas desulfurization automation are realized, saving manpower and material resources. After the designated production process is carried out, the process prompt information is sent to the desulfurization controller 5 to realize the linkage of production and desulfurization, and simultaneously promote the order production efficiency and flue gas desulfurization efficiency.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in this field can still combine, add, delete or make other adjustments to the features in the various embodiments of the present invention according to the circumstances without conflict, without making creative work, so as to obtain different other technical solutions that do not deviate from the concept of the present invention in essence, and these technical solutions also belong to the scope of protection of the present invention.

Claims

1. A wet desulfurization system for glass furnace flue gas treatment, It is characterized in that The invention comprises a pretreatment mixer (1) for mixing and pretreating glass smoke, a desulfurization tower (2) for desulfurizing and purifying glass smoke, a smoke conveying pipeline assembly (3) for conveying glass smoke, a glass smoke analyzer (4) for analyzing the components of glass smoke, and a desulfurization controller (5) for controlling the desulfurization and purification of glass smoke. The pretreatment mixer (1), the desulfurization tower (2), the smoke conveying pipeline assembly (3) and the glass smoke analyzer (4) are all connected to the desulfurization controller (5) for communication. The desulfurization controller (5) obtains order information to be produced in real time to determine the production plan for the next production cycle, makes decisions to generate a production desulfurization plan, mixes absorption slurry during glass production, and controls the smoke conveying pipeline assembly (3), the pretreatment mixer (1) and the smoke analyzer to cooperate with the desulfurization tower (2) to desulfurize and purify the smoke. The pretreatment mixer (1) comprises a tank body (11) and a mixing assembly (12) installed in the tank body (11) for promoting gas mixing, the mixing assembly (12) comprising a mounting rod (121) horizontally placed inside the tank body (11) and a plurality of arc-shaped mixing plates (122), the plurality of arc-shaped mixing plates (122) being sequentially mounted at the bottom of the mounting rod (121) along the length direction of the mounting rod (121); two conveying pipes (123) for conveying exhaust gas from each glass furnace are arranged below the plurality of arc-shaped mixing plates (122), the plurality of conveying pipes (123) being sequentially staggered along the length direction of the mounting rod (121); A dust removal screen (124) is embedded on the top of each of the plurality of arc-shaped mixing plates (122), and the mesh size of the dust removal screen (124) is 300-500 meshes; a micro vibration motor (125) is installed on each of the plurality of arc-shaped mixing plates (122), and an ash hopper (126) is provided at the bottom of the tank body (11); A plurality of mixing fans (127) are arranged on the mounting rod (121), the plurality of mixing fans (127) correspond one to one with the plurality of arc-shaped mixing plates (122), the mixing fans (127) are located directly above the arc-shaped mixing plates (122), and the wind direction of the mixing fans (127) is arranged from bottom to top; The real-time acquisition of order information to be produced to determine the production plan for the next production cycle specifically includes the following steps: Acquire order information of each order to be produced in real time, the order information including basic information of workpieces, quantity of workpieces, unit price of workpieces and delivery deadline; Determine the recipe information of each order based on the basic information of the workpiece of each order, and simulate the order production process based on the recipe information to determine the smoke composition information of each order and the production time required to complete the order; the smoke composition information includes the main pollutants and secondary pollutants and their respective component proportions; According to the smoke composition information of each order, orders with similar smoke composition are extracted through a preset composition analysis model, and several bundled order groups and several single orders are generated by combination; the composition analysis model is a machine learning model, which is obtained by training with historical production data; Sort each bundled order group and single order based on the delivery deadline and production time of each order, and determine the production plan for the next production cycle; The method of extracting orders with similar smoke components through a preset component analysis model according to the smoke component information of each order, and combining and generating a plurality of bundled order groups and a plurality of single orders specifically includes the following steps: Obtain enterprise equipment information to determine the maximum number of orders that can be produced in parallel; According to the smoke composition information of each order, the preset component analysis model is used to extract orders with consistent main pollutants in the smoke composition and a secondary pollutant type overlap greater than a preset overlap threshold, and the orders with similar components are classified to obtain several order collections and several single orders; Determine the latest start date of each order based on the delivery deadline and production time of each order, and select the order with the largest number of orders from each order collection in order of the latest start date to form a bundled order group; The step of sorting the bundled order groups and the single order based on the delivery deadline and production duration of each order and determining the production plan for the next production cycle specifically includes the following steps: Based on the delivery deadline and production duration of each order, the earliest latest start date in each bundled order group is selected as the latest start date of the bundled order group; Sort each bundled order group and single order according to the latest start date to generate an order sequence table; The generated order sequence table is input into a preset planning model to determine the production plan for the next production cycle; the planning model is a machine learning model that is iteratively trained based on a greedy algorithm using historical production planning data; The decision-making and production desulfurization plan specifically includes the following steps: Generate an order production plan for each order bundle group and a single order in the production plan according to the order information of each order in the production plan through a preset plan matching model, wherein the order production plan includes formula information, glass production process information and production equipment parameter information; the plan matching model is a machine learning model obtained through iterative training through historical glass production data and flue gas desulfurization data; Generate a desulfurization scheme for each order bundle group and a single order matching decision in the production plan through a preset scheme matching model according to the production plan, wherein the desulfurization scheme includes at least one absorption slurry formula information, desulfurization process flow information and desulfurization equipment parameter information; The order production plans and desulfurization plans of each order bundling group or a single order are associated to generate process prompt information, and the production desulfurization plan is packaged to generate the production desulfurization plan, which includes the order production plan, desulfurization plan and process prompt information of at least one order bundling group and / or the order production plan, desulfurization plan and process prompt information of at least one single order.

2. A wet desulfurization system for treating flue gas from a glass furnace according to claim 1, Features: The desulfurization tower (2) comprises a tower body and a slurry pool (21), a swirl coupling device (22), a spray component (23) and a demister (24) which are arranged in sequence from bottom to top inside the tower body; the slurry pool (21) is connected to a storage tank (25) for preparing and storing absorption slurry; the spray component (23) comprises a plurality of spray discs (231) and a circulating water pump (232); the water inlet of the circulating water pump (232) is connected to the slurry pool (21), and the water outlet is connected to the spray disc (231); the spray plate (231) is composed of a plurality of fan-shaped spray members (233) which are combined and surrounded to form a plate, and the plurality of fan-shaped spray members (233) each include a plurality of spray pipes (234) and a plurality of spray nozzles (235) installed at the bottom of the spray pipes (234); the exteriors of the plurality of fan-shaped spray members (233) are connected to water curtain pipes (236) along the inner wall of the tower body, and the water curtain pipes (236) are installed with a plurality of water curtain nozzles (237) facing the inner wall of the tower body.

3. A wet desulfurization system for treating flue gas from a glass furnace according to claim 1, It is characterized in that The method of preparing the absorption slurry during glass production, controlling the flue gas conveying pipeline assembly (3), the pretreatment mixer (1) and the flue gas analyzer to cooperate with the desulfurization tower (2) to desulfurize and purify the flue gas specifically comprises the following steps: After entering the next production cycle, the production desulfurization plan is sent to the production controller preset by the enterprise. The production controller controls each glass production line of the enterprise to produce glass according to the production plan according to the production desulfurization plan, and sends a progress prompt information to the desulfurization controller (5) after reaching the specified production process; After receiving the process prompt information, the desulfurization controller (5) prepares the absorption slurry according to the desulfurization plan, and sends the desulfurization equipment parameter information to the pretreatment mixer (1), the desulfurization tower (2), the flue gas conveying pipeline component (3) and the glass flue gas analyzer (4) for parameter setting; The desulfurization controller (5) generates a desulfurization control instruction based on the desulfurization process information, and controls the flue gas conveying pipeline component (3) to convey the glass furnace flue gas to the pretreatment mixer (1), the glass flue gas analyzer (4) and the desulfurization tower (2) in sequence for mixing, sampling verification and desulfurization purification.

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