A flue gas circulation type kiln energy-saving method and system

Abstract

The present invention discloses a method and system for energy saving of a flue gas circulating kiln, relating to the technical field of energy saving control, including: obtaining the temperature data of each kiln according to the temperature sensors on each kiln; analyzing the working data of each kiln to obtain the recoverable heat energy per unit time window during the working stage of each kiln; performing digital simulation and strategy optimization on the heat energy circulation strategy with the preheating of the kiln as the goal according to the task scheduling of the kiln; generating a circulation control instruction according to the optimization result of the circulation strategy; and using the control instruction to control the valves of the kiln. Abstracting the unit heat as an individual, combining the task scheduling of the kiln and the temperature state, and intelligently planning the heat energy flow direction and heat supply strategy, thereby significantly shortening the preheating time and improving the thermal efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control, and particularly relates to an energy-saving method and system for a flue gas recirculation type kiln furnace. Background Art

[0002] With the continuous development of industrial manufacturing towards high efficiency and low carbon, the energy-saving operation of kiln furnaces in industries such as ceramics, metallurgy, building materials, and chemical engineering has become one of the key research directions. Traditional kiln furnace systems generally have problems such as low thermal energy utilization efficiency, extensive waste heat management, and lack of intelligent control mechanisms for hot gas scheduling. Especially in complex operating conditions where multiple furnace bodies operate in parallel, the dynamic collaborative utilization of flue gas waste heat still faces many challenges.

[0003] Most existing hot gas recovery technologies rely on fixed paths, one-way heat exchange, or passive recovery methods, and fail to achieve targeted, staged, and controllable scheduling of high-temperature flue gas. Moreover, they lack the ability to flexibly allocate heat sources according to the current temperature state, working stage, and task schedule of each furnace. In complex production processes, different kiln furnaces have different heat energy requirements due to differences in their process stages. Traditional solutions cannot dynamically respond to these heterogeneous demands, often resulting in overheating of some kiln furnaces and the need for additional energy consumption for heat supplementation in some kiln furnaces, causing resource misallocation and energy waste. For example, when workpieces are placed in a furnace without heat storage and directly ignited for heating. Usually in the natural environment, especially in winter, the temperature of workpieces and furnace walls is relatively low, and a large amount of energy is consumed to heat them to the set temperature.

[0004] In addition, the current systems generally lack an intelligent optimization mechanism and cannot perform overall optimization scheduling based on available heat sources, furnace body states, and task plans. Existing methods either mainly rely on rule-based control, with lagging response and weak adaptability; or although some prediction and control models are introduced, they cannot handle global coordination and real-time scheduling problems under multiple objectives. Especially when it comes to the dynamic distribution of hot gas between multiple furnace bodies, it is easy to fall into local optimality or redundant control.

[0005] Therefore, there is an urgent need for an energy-saving method that integrates real-time condition perception of multiple furnaces, task schedule driving, intelligent heat energy distribution, and adaptive control capabilities, which can regard the recoverable heat energy of each furnace as a global resource for unified optimization, and achieve cross-furnace collaborative preheating through algorithm models, thereby improving the overall thermal efficiency, reducing energy consumption, and promoting the intelligent upgrade of industrial kiln furnace systems. Summary of the Invention

[0006] To solve the above technical problems, an energy-saving method for a flue gas recirculation type kiln furnace is proposed. Temperature data of each kiln furnace is obtained according to temperature sensors on each kiln furnace;

[0007] By analyzing the working data of each kiln furnace, the recoverable heat energy per unit time window of each kiln furnace in the working stage is obtained;

[0008] According to the task schedule of the kiln, aiming at the preheating of the kiln, digital simulation and strategy optimization of the heat energy circulation strategy are carried out;

[0009] According to the optimization result of the circulation strategy, a circulation control instruction is generated;

[0010] Using the control instruction, the valve control of the kiln is carried out;

[0011] The digital simulation and strategy optimization include: through the improved wolf pack algorithm, taking the unit circulating gas volume as the wolf pack individuals and the kiln in the preheating stage as the target object, multi-objective parameter optimization is carried out, and the optimization result of the circulation strategy is generated according to the optimal parameters.

[0012] As a preferred scheme of a flue gas circulation type kiln energy-saving method of the present invention, wherein: multiple kilns are provided, and each kiln is provided with a high-temperature flue gas discharge pipe, a high-temperature flue gas introduction pipe, an air introduction pipe and a low-temperature flue gas discharge pipe, and a control valve is provided on each pipe;

[0013] The high-temperature flue gas discharge pipe and the high-temperature flue gas introduction pipe of each kiln are respectively connected to the high-temperature circulation flue to realize heat energy exchange between the kilns;

[0014] The low-temperature flue gas discharge pipes of each kiln are connected through pipes, and exhaust is realized by using an induced draft fan.

[0015] As a preferred scheme of a flue gas circulation type kiln energy-saving method of the present invention, wherein: the working data includes: within a unit time window, the heat energy supply of the kiln, the heat conversion rate, the heat energy demand of the kiln, the air output of the kiln, and the current firing stage of the kiln;

[0016] Among them, the firing stage includes: idle stage, preheating stage, working stage, cooling stage;

[0017] In the preheating stage, the kiln absorbs heat energy by closing the valve of the high-temperature flue gas discharge pipe, opening the valve of the high-temperature flue gas introduction pipe, opening the valve of the low-temperature flue gas discharge pipe, and closing the valve of the air introduction pipe;

[0018] In the working stage, the kiln releases heat energy by opening the valve of the high-temperature flue gas discharge pipe, closing the valve of the high-temperature flue gas introduction pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air introduction pipe;

[0019] In the cooling stage, the kiln releases heat energy by closing the valve of the high-temperature flue gas discharge pipe, closing the valve of the high-temperature flue gas introduction pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air introduction pipe;

[0020] The recoverable heat energy includes: in the kiln during the working stage, within a unit time window, the heat energy participating in the cycle is provided.

[0021] As a preferred embodiment of the energy-saving method for a flue gas circulation type kiln according to the present invention, wherein: the task scheduling includes: obtaining unexecuted task work orders, and allocating tasks to the kilns in the idle stage according to the task work orders;

[0022] The task work order includes: work order execution time and execution content;

[0023] Let the i-th kiln in the idle stage have the allocated task work order ; when a kiln in the idle stage is allocated a task work order, the kiln enters the preheating stage.

[0024] As a preferred embodiment of the energy-saving method for a flue gas circulation type kiln according to the present invention, wherein: the digital simulation further includes: setting that when the wolf pack passes by each kiln in the working stage, the number of wolf pack individuals increases; the wolf pack moves along the high-temperature circulation flue, and at each of the target objects, part of the wolf pack individuals are separated to perform target capture; when the temperature of the target object reaches the target preheating temperature, the target capture is successful;

[0025] Each target object only includes two control processes: the parameters to be optimized when the target capture is not completed, and the parameters to be optimized after the target capture is completed; after the target capture is successful, the wolf pack continuously separates individuals to feed on the target object with successful capture;

[0026] The parameters to be optimized are: the intake air volume and the exhaust air volume at the valve on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe within a unit time window.

[0027] As a preferred embodiment of the energy-saving method for a flue gas circulation type kiln according to the present invention, wherein: the strategy optimization includes: updating the parameters to be optimized for each kiln, and using the updated parameters to be optimized to calculate the time required for each kiln to reach the target temperature; the calculation process of the required time is as follows:

[0028] Step 1: Calculate the number of wolf pack individuals and the physical strength of the wolf pack individuals when reaching the current kiln i;

[0029] Take the heat energy of the unit circulating air volume as the physical strength of the wolf pack individuals; when passing by each kiln in the working stage, reset the heat energy of each wolf pack individual, and the calculation is: the total heat energy of the circulating gas divided by the total number of wolf pack individuals;

[0030] Step 2: Control the entry volume of wolf pack individuals within a unit time window according to the parameter to be optimized; match the heat exchange rate based on the entry volume of wolf pack individuals, the physical strength of wolf pack individuals, and the temperature inside the kiln at the current moment.

[0031] Step 3: Calculate the heat energy obtained within a unit time window by using the heat exchange rate, the entry volume of wolf pack individuals, and the physical strength of wolf pack individuals.

[0032] Step 4: Calculate the time required for the kiln to reach the target temperature according to the calculation result of Step 3 and the temperature inside the kiln at the current moment.

[0033] Use the minimum value of the sum of the time required for all kilns to reach the target temperature as the objective function for solution to obtain the optimized parameters.

[0034] As a preferred scheme of a flue gas circulation type kiln energy-saving method described in the present invention, wherein: the circulation control instruction includes: according to the pre-trained functional relationship, through the optimized parameters, match the opening and closing degrees of the valves on the high-temperature flue gas introduction pipeline and the low-temperature flue gas discharge pipeline.

[0035] Generate a control instruction by using the matched opening and closing degrees on each valve.

[0036] When the working data is updated, recalculate the parameter to be optimized, and generate an updated control instruction according to the recalculated parameter.

[0037] Among them, when recalculating, the parameter to be optimized updates the parameter with the optimized parameter before recalculation as the initial value.

[0038] A flue gas circulation type kiln energy-saving system applying the above-mentioned flue gas circulation type kiln energy-saving method includes:

[0039] An acquisition unit, which acquires the temperature data of each kiln according to the temperature sensors on each kiln.

[0040] An analysis unit, which obtains the recoverable heat energy within a unit time window during the working stage of each kiln by analyzing the working data of each kiln.

[0041] A calculation unit, which performs digital simulation and strategy optimization on the heat energy circulation strategy with the preheating of the kiln to be worked as the target according to the task schedule of the kiln.

[0042] A control unit, which generates a circulation control instruction according to the optimization result of the circulation strategy; and controls the valves of the kiln by using the control instruction.

[0043] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the energy-saving method for a flue gas circulation type kiln furnace are implemented.

[0044] A computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor, the steps of the energy-saving method for a flue gas circulation type kiln furnace are implemented.

[0045] The beneficial effects of the present invention: By constructing an intelligent control system based on the dynamic scheduling of recoverable heat energy, the circular utilization and collaborative preheating of high-temperature flue gas among multiple kiln furnaces are realized. Compared with the traditional hot gas recovery method, the present invention introduces an improved wolf pack optimization algorithm, abstracts the unit heat as an individual, combines the kiln furnace task scheduling and temperature state, and intelligently plans the heat energy flow direction and heat supply strategy, thereby significantly shortening the preheating time and improving the thermal efficiency. The system not only realizes the optimal matching of heat sources, but also has the ability of adaptive adjustment. It can adjust the control instructions in real time when the working conditions change or the tasks are updated to ensure the stability and energy-saving of the operation process. In practice, this method can effectively reduce energy consumption, improve the heat energy utilization rate, is applicable to the efficient energy-saving control in the scenario of multiple furnaces running in parallel, and has good engineering applicability and popularization value. Description of the Drawings

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0047] Figure 1 It is the overall flowchart of an energy-saving method for a flue gas circulation type kiln furnace provided by an embodiment of the present invention.

[0048] Figure 2 It is a schematic diagram of the process of increasing and decreasing wolf pack individuals in an energy-saving method for a flue gas circulation type kiln furnace provided by an embodiment of the present invention. Detailed Embodiments

[0049] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0050] The flue gas circulation type kiln furnace includes multiple kiln furnaces. Each kiln furnace is provided with a high-temperature flue gas discharge pipe, a high-temperature flue gas introduction pipe, an air introduction pipe (a fan is also provided to control the air introduction speed), and a low-temperature flue gas discharge pipe. Control valves are provided on each pipe.

[0051] The high-temperature flue gas discharge pipe and the high-temperature flue gas introduction pipe of each kiln furnace are respectively connected to the high-temperature circulation flue to achieve heat energy exchange between the kiln furnaces.

[0052] The low-temperature flue gas discharge pipes of each kiln furnace are connected through pipes, and exhaust is realized by using an induced draft fan. By setting a high-temperature flue gas discharge pipe, a high-temperature flue gas introduction pipe, an air introduction pipe, and a low-temperature flue gas discharge pipe on each kiln furnace, and configuring independent control valves or induced draft devices on each pipe, the aim is to construct a controllable, adjustable, and recyclable heat energy scheduling network. Through the connection of the high-temperature flue gas discharge and introduction pipes to the central high-temperature circulation flue (extra hot gas can be discharged at the tail), the system can achieve flue gas heat sharing and cascade utilization among multiple kiln furnaces, avoiding energy waste caused by direct discharge of high-temperature flue gas. At the same time, the setting of the air introduction pipe, combined with the fan for wind speed adjustment, can provide necessary oxygen supplementation or cooling gas for the kiln furnace under different working conditions, guide the direction of thermal flow, and improve the heat exchange efficiency. The low-temperature flue gas discharge pipe timely guides the exhaust gas after heat exchange, avoiding the retention of hot gas from affecting the furnace pressure or polluting the furnace chamber environment. Through the negative pressure effect of the induced draft fan, the system as a whole forms a self-circulating hot gas path, and supports dynamically regulating each valve under an intelligent scheduling strategy to achieve multiple goals such as heat supply on demand, collaborative preheating, and system energy saving.

[0053] Example 1, referring to Figure 1 and Figure 2 , is the first embodiment of the present invention. This embodiment provides a method for energy saving of a flue gas circulation type kiln furnace, including:

[0054] S1: Obtain the temperature data of each kiln furnace according to the temperature sensors on each kiln furnace.

[0055] Through the temperature sensors arranged at key positions of each kiln furnace, the system can accurately monitor parameters such as the furnace temperature, wall temperature, or outlet air temperature. Furthermore, according to the current temperature, the preset target temperature, and the kiln furnace capacity, the heat energy demand of the kiln furnace can be obtained through a preset mapping function, and this mapping function is a conventional calculation model in the art. If the kiln furnace is in the heating state, the recoverable heat energy of the current kiln furnace can be obtained in a similar manner.

[0056] The implementation of this step is a prerequisite for realizing dynamic thermal energy management. The data obtained not only serves to calculate the recoverable thermal energy of the current kiln, but also serves as the core basis for determining whether the kiln is a target object (i.e., whether it needs to be heated) (it can be judged whether the kiln is a target object by manually analyzing the kiln temperature; or the selection of the target object can be carried out according to a preset judgment program). This temperature data is also used as an input variable for subsequent intelligent algorithm modeling and cyclic strategy optimization processes (as a criterion for whether the preheating target is reached), ensuring the real-time and accuracy of the system's decision-making in control logic and thermal energy distribution.

[0057] S2: By analyzing the working data of each kiln, the recoverable thermal energy per unit time window of each kiln during the working stage is obtained.

[0058] Furthermore, the working data includes: within the unit time window, the thermal energy supply of the kiln, the thermal conversion rate, the thermal energy demand of the kiln, the air output of the kiln, and the current firing stage of the kiln; it should be noted that these data are preset according to the firing process. After the working data changes, the adjustment of the strategy optimization process will be carried out again.

[0059] Among them, "the thermal energy supply to the kiln" involves two situations here: 1 Mechanical stable supply. 2 Non-mechanical manual supply. In the first case, this supply amount is very easy to evaluate, just according to the fuel amount × supply amount. However, in the second case, it is difficult to verify. Therefore, in this embodiment, the fuel fluctuations are not considered, and the supply is only evaluated according to the added fuel. This can achieve the simplest analysis process and also avoid situations such as incomplete calculation or excessive resource occupation in the calculation process caused by the too-fast change of the original data in the control process.

[0060] Among them, the firing stage includes: idle stage, preheating stage, working stage, and cooling stage.

[0061] In the preheating stage, the kiln absorbs thermal energy by closing the valve of the high-temperature flue gas discharge pipe, opening the valve of the high-temperature flue gas introduction pipe, opening the valve of the low-temperature flue gas discharge pipe, and closing the valve of the air introduction pipe.

[0062] In the working stage, the kiln releases thermal energy by opening the valve of the high-temperature flue gas discharge pipe, closing the valve of the high-temperature flue gas introduction pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air introduction pipe. In the working stage, the control of the kiln controls the valve according to the preset firing control process. Therefore, when participating in the cyclic process, it is not necessary to control the kiln in the working stage.

[0063] In the cooling stage, the kiln releases heat energy by closing the valves of the high-temperature flue gas discharge pipeline, closing the valves of the high-temperature flue gas introduction pipeline, closing the valves of the low-temperature flue gas discharge pipeline, and opening the valves of the air introduction pipeline. The cooling process does not require a thermal cycle to supply all the cyclic processes that do not participate in the heat energy.

[0064] The recoverable heat energy includes: in the kiln during the working stage, within a unit time window, the heat energy participating in the cycle is provided. Specifically, the recoverable heat energy = (the heat energy supply of the kiln × the heat conversion rate - the heat energy demand of the kiln). At the same time, according to the current temperature, the preset target temperature, and the kiln capacity, the gas output within a unit time window can be obtained based on the functional relationship pre-fitted from historical data.

[0065] S3: According to the task scheduling of the kiln, with the preheating of the kiln as the goal, digital simulation and strategy optimization of the heat energy cycle strategy are carried out.

[0066] Obtain the unexecuted task work orders, and allocate tasks to the idle kilns according to the task work orders; the tasks are allocated manually, generally in the order of the execution time of the work orders. The earlier the execution time of the work order, the higher the priority. The staff needs to allocate the kilns to be executed according to the priority in turn. Among them, a work order can be completed by multiple kilns. Ensure that all idle kilns have the content of the work orders to be executed (except when the number of work orders is insufficient). This task allocation process is a manual decision-making process, with controllability and traceability, and usually follows the priority principle of "first come, first served", that is, the earlier the execution time of the work order, the higher its scheduling priority. The staff allocates tasks to the idle kilns in the order of the execution time of the work orders in turn, so as to ensure that the idle furnace body can be switched to the preheating stage in time and participate in the subsequent heat energy cycle scheduling process.

[0067] The task work order includes: the work order execution time and the execution content.

[0068] Let the i-th kiln in the idle stage , with the assigned task work order ; when the idle kiln is assigned a task work order, the kiln enters the preheating stage.

[0069] Further, the digital simulation includes: through the improved wolf pack algorithm, taking the unit cyclic gas volume (if analyzing kiln i; cyclic gas volume = total intake before kiln i - total output) as the wolf pack individuals (the number of individuals = the number of units of cyclic gas volume), taking the kiln in the preheating stage as the target object, conducting multi-objective parameter optimization, and generating the optimization result of the cyclic strategy according to the optimal parameters.

[0070] When the wolf pack passes by each kiln in the working stage, the number of wolf pack individuals is increased (when increasing individuals, the increased amount is the gas output; at the same time, the heat energy of each unit of gas output is updated to the average value of heat energy because heat energy is involved in the cycle through gas). The wolf pack moves along the high-temperature circulation flue. At each of the said target objects, part of the wolf pack individuals are separated to perform target capture. When the temperature of the said target object reaches the preheated target temperature (for different work orders, this temperature is different and is based on the preset value of the firing task), the target capture is successful.

[0071] Each target object only includes two control processes: the parameters to be optimized when the target capture is not completed, and the parameters to be optimized after the target capture is completed. After the target capture is successful, the wolf pack continuously separates individuals to divide and eat the captured target object (maintain the preheating temperature for the kiln that reaches the target temperature).

[0072] The parameters to be optimized are: the intake and output gas volumes at the valve within the unit time window on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe (actually, these two numbers are equal).

[0073] The strategy optimization includes: updating the parameters to be optimized for each kiln, and using the updated parameters to be optimized to calculate the time required for each kiln to reach the target temperature. The calculation process of the required time is as follows:

[0074] Step 1: Calculate the number of wolf pack individuals and the physical strength of the wolf pack individuals when reaching the current kiln i.

[0075] Take the heat energy of the unit circulating gas volume as the physical strength of the wolf pack individuals. When passing by each kiln in the working stage, reset the heat energy of each wolf pack individual, and calculate it as: the total heat energy of the circulating gas divided by the total number of wolf pack individuals.

[0076]

[0077] Among them, represents the total gas volume participating in the cycle after reaching the kth kiln, which is equal to the number of wolf pack individuals; j represents the kiln index before k; represents the intake and output gas volume of the jth kiln. If it is the intake gas volume, it is -1 (indicating that there are target individuals before k), and if it is the output gas volume, it is 1; represents the intake and output gas volume of the jth kiln (when the control process of kiln j changes, it will also be updated to: the parameters to be optimized after the target capture is completed. The above update changes according to the accumulation within the time window).

[0078]

[0079] Among them, Denote the physical strength (thermal energy per unit gas output) of an individual in the wolf pack at the k-th kiln; Denote the thermal energy (recoverable thermal energy) involved in the cycle within a unit time window when the k-th kiln emits gas.

[0080] Refer to Figure 2 , at the first kiln, the number of individuals is increased by 9. At the second kiln, thermal energy is provided, and within a unit time, two individuals are output for supply. At the third kiln, during the working stage, the recyclable gas volume is 5 (at this time, the physical strength of each individual is updated).

[0081] Step 2: According to the parameter to be optimized, control the entry volume of wolf pack individuals within a unit time window; according to the entry volume (number of individuals), the physical strength of wolf pack individuals, and the temperature inside the kiln at the current moment, match the heat exchange rate. After measuring the total recycled gas volume in Step 1. When the total recycled gas volume reaches kiln i, update the intake gas volume of kiln i:

[0082]

[0083] Among them, Denote the i-th kiln, the updated parameter (intake = exhaust, so it is completed through an update process); Denote the i-th kiln, the parameter before update; Denote the adaptive learning coefficient, which controls the parameter update amplitude (usually set between 0.1 and 0.5). Denote the direction and step size of this round of adjustment, which is a fixed step size with positive and negative randomness. Denote the perturbation coefficient. Denote the random perturbation value, which is a small random variable with a mean of 0 (such as Gaussian or uniform distribution). The k-th kiln is the kiln before the i-th kiln; that is, for each kiln i, when calculating the total recycled gas volume, k = i - 1. At the same time, i represents the intake kiln, because if the kiln is an exhaust kiln, the released heat and gas volume are determined values, so no update is required.

[0084] It should be noted that the process of "matching the heat exchange rate" needs to use the "number of wolf pack individuals, the physical strength of wolf pack individuals, and the temperature inside the kiln at the current moment" as independent variables and the heat exchange rate as the dependent variable based on historical data in advance; through fitting, obtain the functional relationship between the independent variables and the dependent variable. By inputting real-time independent variables, output the real-time heat exchange rate.

[0085] Step 3: Use the heat exchange rate, the entry volume, and the physical strength of wolf pack individuals to calculate the thermal energy obtained within a unit time window:

[0086] Among them, Denote the inflow of wolf pack individuals (i.e., the updated parameter value) for the k-th kiln. ); If the kiln is not in the preheating stage, then ; Denote the heat exchange rate matched in the current time window t. Denote the heat obtained in the current time window t.

[0087] Step 4: Calculate the time required for the kiln to reach the target temperature according to the calculation result of Step 3 and the temperature inside the kiln at the current moment.

[0088] For the -th kiln, the time required for it to reach the target temperature is:

[0089]

[0090] Denote the specific heat capacity of the i-th kiln. Denote the mass of the i-th kiln. Denote the current temperature and the temperature difference between the target temperature . If , then judge that the target capture is successful; control the intake air volume to make The evaporation amount of heat energy. This evaporation amount can be calculated according to the temperature difference between the current temperature and the outside world, so the demand for heat energy can also be directly obtained. Therefore, it is necessary to control the valve intake air volume to make The evaporation amount of heat energy.

[0091] Through the accumulation of the "unit time window" for prediction, when a kiln "reaches the time required for the target temperature", update the intake air volume of this kiln. Since the cycle process of this solution is a process with a specific direction, generally speaking, after the intake air volume of a kiln is updated, the subsequent heat energy supply will be affected.

[0092] Take the minimum value of the sum of the times required for all kilns to reach the target temperature as the objective function, solve it, and obtain the optimized parameters. The optimized objective function is:

[0093]

[0094] Denote the total time, and n denotes the number of kilns in the preheating stage.

[0095] Among them, the constraints to be satisfied are:

[0096] ; When reaching the k-th kiln, the total intake air volume of the kilns in the preheating stage shall not exceed the total exhaust gas volume of the kilns in the working stage. Ensure that: the number of individuals participating in "sharing food" + the number of individuals participating in "hunting" ≤ the total number of the wolf pack within a unit time.

[0097] ; Represents the latest completion time of the preheating task assigned to the i-th kiln.

[0098] This strategy abstracts unit heat energy as "wolf pack individuals" and introduces "individual physical strength" as a variable to measure the energy efficiency of unit heat. By calculating the cumulative behavior of individuals in each loop path (such as increasing physical strength when passing through the working furnace and consuming physical strength when participating in heat exchange in the target furnace), a dynamic heat flow distribution model is constructed. In the strategy calculation, the number of individuals and individual physical strength are tracked in real time, and combined with the actual temperature state of each kiln, as the core reference variables for optimizing control parameters.

[0099] Furthermore, the system takes the intake air volume and exhaust gas volume of each kiln as control variables to be optimized, and drives their iterative update process through a learning factor with disturbance to improve the valve control accuracy. In the process of "matching the heat exchange rate", the system constructs a multi-factor fitting function of the heat exchange rate based on historical production data, enabling the precise modeling of the non-linear mapping relationship between independent variables such as the number of wolf pack individuals, physical strength, and furnace temperature, thereby improving the predictability and stability of the control process.

[0100] By dynamically calculating the heat energy acquisition amount of each kiln per unit time and combining the temperature difference between its current temperature and the target temperature, the system can accurately estimate the time required for each kiln to reach the preheating target. Finally, taking the sum of the time required for all kilns in the preheating stage to complete the heating task as the optimization objective function, the overall solution is executed to obtain the globally optimal valve control parameter configuration scheme.

[0101] S4: Generate a cyclic control instruction according to the optimization result of the cyclic strategy; use the control instruction to control the valves of the kilns.

[0102] According to the pre-trained functional relationship, through the optimized parameters, match the opening and closing degrees of the valves on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe. Generate a control instruction using the matched opening and closing degrees on each valve.

[0103] By calling the pre-trained functional relationship model, the system can convert the control parameters to be optimized (such as the intake air volume and exhaust gas volume) determined in the optimization process into specific control instructions, and accurately match the opening and closing degrees of the valves on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe. This matching process ensures that the hot gas flow rate and direction are consistent with the optimization strategy in actual control, thereby realizing the efficient and orderly dynamic distribution of heat energy among the kilns.

[0104] When the working data is updated, recalculate the parameter to be optimized, and generate an updated control instruction according to the recalculated parameter. Among them, when recalculating, the parameter to be optimized is updated with the optimized parameter before recalculation as the initial value.

[0105] To improve the system's adaptability, when it is detected that the working data (such as temperature change, stage switching, task change, etc.) is updated, the system will automatically trigger the parameter recalculation process and perform iterative update with the previous optimization result as the initial value. This adaptive update mechanism based on the historical optimal value can not only shorten the calculation convergence time, but also enhance the continuity and stability of the control strategy, avoiding severe fluctuations or control failures of the system under frequently changing working conditions.

[0106] Through the above control instruction generation and update mechanism, the dynamic adjustment of the hot gas channels between multiple kilns can be realized, significantly improving the thermal energy utilization efficiency, reducing energy waste, while ensuring the real-time performance and robustness of the control system under complex working conditions, and meeting the actual needs of intelligent and refined energy-saving management of industrial kilns.

[0107] Embodiment 2 is the second embodiment of the present invention, which is different from the previous embodiment in that:

[0108] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0109] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or used in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0110] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection part with one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0111] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well-known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0112] Embodiment 3 is the third embodiment of the present invention. This embodiment provides a flue gas circulation type kiln energy-saving system, including: a collection unit, which acquires the temperature data of each kiln according to the temperature sensors on each kiln.

[0113] An analysis unit, which obtains the recoverable heat energy per unit time window of each kiln during the working stage by analyzing the working data of each kiln.

[0114] A calculation unit, which, according to the task scheduling of the kiln and with the preheating of the kiln to be worked as the goal, digitally simulates the heat energy circulation strategy and optimizes the strategy.

[0115] A control unit generates a cycle control instruction according to the optimization result of the cycle strategy, and uses the control instruction to control the valves of the kiln.

[0116] 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 preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for energy conservation of a flue gas circulation type kiln, characterized in that: Obtain the temperature data of each kiln according to the temperature sensors on each kiln; By analyzing the working data of each kiln, obtain the recoverable thermal energy per unit time window during the working stage of each kiln; According to the task scheduling of the kiln, with the goal that the temperature data of the kiln in the preheating stage reaches the preheating target temperature, perform digital simulation and strategy optimization on the thermal energy recycling strategy; Generate a cycle control instruction according to the optimization result of the cycle strategy; Use the control instruction to control the valves of the kiln; The digital simulation and strategy optimization include: through the improved wolf pack algorithm, taking the unit circulation gas volume as the wolf pack individuals and the kiln in the preheating stage as the target object, perform multi-objective parameter optimization, and generate the optimization result of the cycle strategy according to the optimal parameters; Set multiple kilns, and each kiln is equipped with a high-temperature flue gas discharge pipe, a high-temperature flue gas inlet pipe, an air inlet pipe, and a low-temperature flue gas discharge pipe, and each pipe is equipped with a control valve; The high-temperature flue gas discharge pipe and the high-temperature flue gas inlet pipe of each kiln are respectively connected to the high-temperature circulation flue to realize the heat energy exchange between the kilns; The low-temperature flue gas discharge pipes of each kiln are connected through pipes, and an induced draft fan is used to exhaust; The digital simulation also includes: when the wolf pack passes by each kiln in the working stage, the number of wolf pack individuals is increased; the wolf pack moves along the high-temperature circulation flue, and at each target object, part of the wolf pack individuals are separated to perform target capture; when the temperature of the target object reaches the preheating target temperature, the target capture is successful; Each target object only includes two control processes: the parameters to be optimized when the target capture is not completed, and the parameters to be optimized after the target capture is completed; after the target capture is successful, the wolf pack continuously separates individuals to feed on the captured target object; The parameters to be optimized are: the intake and exhaust gas volumes at the valve in the unit time window on the high-temperature flue gas inlet pipe and the low-temperature flue gas discharge pipe; The strategy optimization includes: updating the parameters to be optimized for each kiln, and using the updated parameters to be optimized to calculate the time required for each kiln to reach the target temperature; the calculation process of the required time is: Step 1: Calculate the number of wolf pack individuals and the physical strength of the wolf pack individuals when reaching the current kiln i; Take the thermal energy of the unit circulation gas volume as the physical strength of the wolf pack individuals; when passing by each kiln in the working stage, reset the thermal energy of each wolf pack individual, and the calculation is: the total thermal energy of the circulating gas divided by the total number of wolf pack individuals; Step 2: According to the parameters to be optimized, control the entry volume of the wolf pack individuals in the unit time window; match the heat exchange rate according to the entry volume of the wolf pack individuals, the physical strength of the wolf pack individuals, and the temperature in the kiln at the current moment; Step 3: Use the heat exchange rate, the entry volume of the wolf pack individuals, and the physical strength of the wolf pack individuals to calculate the thermal energy obtained in the unit time window; Step 4: According to the calculation result of Step 3 and the temperature in the kiln at the current moment, calculate the time required for the kiln to reach the target temperature; Take the minimum value of the sum of the time required for all target objects to reach the target temperature as the objective function, and solve to obtain the optimized parameters.

2. The energy-saving method for a flue gas circulation type kiln furnace according to claim 1, characterized in that: The working data includes: the heat energy supply of the kiln, the heat conversion rate, the heat energy demand of the kiln, the air output of the kiln, and the current firing stage of the kiln within a unit time window; Among them, the firing stage includes: the idle stage, the preheating stage, the working stage, and the cooling stage; In the preheating stage, the kiln absorbs heat energy by closing the valve of the high-temperature flue gas discharge pipe, opening the valve of the high-temperature flue gas inlet pipe, opening the valve of the low-temperature flue gas discharge pipe, and closing the valve of the air inlet pipe; In the working stage, the kiln releases heat energy by opening the valve of the high-temperature flue gas discharge pipe, closing the valve of the high-temperature flue gas inlet pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air inlet pipe; In the cooling stage, the kiln releases heat energy by closing the valve of the high-temperature flue gas discharge pipe, closing the valve of the high-temperature flue gas inlet pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air inlet pipe; The recoverable heat energy includes: the heat energy provided for participation in the cycle within a unit time window in the kiln during the working stage.

3. The energy-saving method for a flue gas circulation type kiln furnace according to claim 2, characterized in that: The task scheduling includes: obtaining unexecuted task work orders and allocating tasks to the kilns in the idle stage according to the task work orders; The task work order includes: the work order execution time and the execution content; Let the i-th kiln in the idle stage have an assigned task work order ; when a kiln in the idle stage is assigned a task work order, the kiln enters the preheating stage.

4. The energy-saving method for a flue gas circulation type kiln furnace according to claim 3, characterized in that: The cycle control instruction includes: matching the opening and closing degrees of the valves on the high-temperature flue gas inlet pipe and the low-temperature flue gas discharge pipe according to the pre-trained functional relationship and the optimized parameters; Generating a control instruction by using the matching opening and closing degrees on each valve; When the working data is updated, recalculating the parameters to be optimized and generating an updated control instruction according to the recalculated parameters; Among them, when recalculating, the parameters to be optimized are updated with the optimized parameters before recalculation as the initial values.

5. A flue gas circulation type kiln furnace energy-saving system, which applies a flue gas circulation type kiln furnace energy-saving method as described in any one of claims 1 to 4, is characterized in that, It includes: A collection unit that obtains the temperature data of each kiln according to the temperature sensors on each kiln; An analysis unit that obtains the recoverable heat energy of each kiln within a unit time window during the working stage by analyzing the working data of each kiln; A calculation unit that numerically simulates and optimizes the heat energy cycle strategy with the goal of the temperature data of the kiln in the preheating stage reaching the preheating target temperature according to the task scheduling of the kiln; A control unit that generates a cycle control instruction according to the optimization result of the cycle strategy; and uses the control instruction to control the valves of the kiln.

6. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of a method for energy saving of a flue gas circulation type kiln according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of a method for energy saving of a flue gas circulation type kiln according to any one of claims 1 to 4.

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