Flue gas circulation type kiln energy-saving method and system

Abstract

The invention discloses a flue gas circulation type kiln energy-saving method and system, and relates to the technical field of energy-saving control, and the flue gas circulation type kiln energy-saving method comprises the following steps: obtaining temperature data of each kiln according to a temperature sensor on each kiln; analyzing the working data of each kiln to obtain recoverable heat energy of each kiln in a unit time window in a working stage; according to the task schedule of the kiln, with preheating of the kiln as a target, digital simulation and strategy optimization are carried out on a circulation strategy of heat energy; generating a circulation control instruction according to an optimization result of the circulation strategy; and controlling the valve of the kiln by using the control instruction. The unit heat is abstracted as an individual, and the heat energy flow direction and the heat supply strategy are intelligently planned in combination with the kiln task schedule and the temperature state, so that the preheating time is remarkably shortened, and the heat efficiency is improved.

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 circulation 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 of the existing hot gas recovery technologies rely on fixed paths, one-way heat exchange, or passive recovery methods, and fail to achieve targeted, phased, 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 thermal energy requirements due to differences in their process stages. Traditional solutions cannot dynamically respond to these heterogeneous requirements, 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 intelligent optimization mechanisms 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 drive, 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 circulation type kiln furnace is proposed. Temperature data of each kiln furnace is obtained according to temperature sensors on each kiln furnace; 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; According to the task scheduling of the kiln, aiming at the preheating of the kiln, digital simulation and strategy optimization of the heat energy recycling strategy are carried out; According to the optimization result of the recycling strategy, a recycling control instruction is generated; Using the control instruction, valve control of the kiln is carried out; The digital simulation and strategy optimization include: through the improved wolf pack algorithm, taking the unit circulating air 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 recycling strategy is generated according to the optimal parameters.

[0007] As a preferred scheme of a flue gas circulation type kiln energy saving method according to 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 control valves are provided on each pipe; 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; The low-temperature flue gas discharge pipes of each kiln are connected through pipes, and exhaust is realized by using an induced draft fan.

[0008] As a preferred scheme of a flue gas circulation type kiln energy saving method according to 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; Among them, the firing stage includes: idle stage, preheating stage, working stage, 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 introduction pipe, opening the valve of the low-temperature flue gas discharge pipe, and closing the valve of the air introduction 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 introduction pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air introduction 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 introduction pipe, closing the valve of the low-temperature flue gas discharge pipe, and opening the valve of the air introduction pipe; The recoverable heat energy includes: in the kiln in the working stage, within a unit time window, the heat energy provided for participating in the cycle.

[0009] As a preferred scheme of a flue gas circulation type kiln energy saving method according to the present invention, wherein: the task scheduling includes: obtaining unexecuted task work orders, and performing task allocation on the kilns in the idle stage according to the task work orders; The task work order includes: the execution time and content of the work order; 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.

[0010] 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 is increased; the wolf pack moves along the high-temperature circulation flue, and 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 target temperature for preheating, 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 divide and eat the target object for which the capture is successful; The parameters to be optimized are: the intake and exhaust gas volumes at the valves on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe within a unit time window.

[0011] 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: 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 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 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 quantity of wolf pack individuals within a unit time window; match the heat exchange rate according to the entry quantity of wolf pack individuals, the physical strength of wolf pack individuals, and the temperature inside the kiln at the current moment; Step 3: Use the heat exchange rate, the entry quantity of wolf pack individuals, and the physical strength of wolf pack individuals to calculate the thermal energy obtained within a unit time window; Step 4: According to the calculation result of Step 3 and the temperature inside 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 kilns to reach the target temperature as the objective function, and solve it to obtain the optimized parameters.

[0012] As a preferred solution of an energy-saving method for a flue gas circulation type kiln furnace according to the present invention, wherein: the circulation control instruction includes: according to a pre-trained functional relationship, through optimized parameters, the valves on the high-temperature flue gas inlet pipe and the low-temperature flue gas discharge pipe are matched in opening and closing degree; Generate a control instruction by using the opening and closing degree matched on each valve; When the working data is updated, recalculate the parameter to be optimized, and generate an updated control instruction according to the recalculated parameter; Wherein, when recalculating, the parameter to be optimized is updated with the optimized parameter before recalculation as the initial value.

[0013] An energy-saving system for a flue gas circulation type kiln furnace, applying the above-mentioned energy-saving method for a flue gas circulation type kiln furnace, includes: An acquisition unit, which acquires the temperature data of each kiln furnace according to the temperature sensors on each kiln furnace; An analysis unit, which obtains the recoverable heat energy in the unit time window during the working stage of each kiln furnace by analyzing the working data of each kiln furnace; A calculation unit, which targets the preheating of the kiln furnace to be worked according to the task schedule of the kiln furnace, and performs digital simulation and strategy optimization on the heat energy circulation strategy; A control unit, which generates a circulation control instruction according to the optimization result of the circulation strategy; and uses the control instruction to control the valves of the kiln furnace.

[0014] 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 above-mentioned energy-saving method for a flue gas circulation type kiln furnace are implemented.

[0015] A computer-readable storage medium stores a computer program thereon, and when the computer program is executed by a processor, the steps of the above-mentioned energy-saving method for a flue gas circulation type kiln furnace are implemented.

[0016] The beneficial effects of the present invention: By constructing an intelligent control system based on the dynamic scheduling of recoverable heat energy, the recycling 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 task schedule and temperature state of the kiln furnace, and intelligently plans the heat energy flow direction and heating 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, and can adjust the control instruction in real time when the working condition changes or the task is updated, ensuring the stability and energy saving of the operation process. In practice, this method can effectively reduce energy consumption and improve the heat energy utilization rate, and 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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.

[0018] Figure 1 FIG. is a general flow chart of an energy-saving method for a flue gas circulation type kiln furnace provided by an embodiment of the present invention.

[0019] Figure 2 FIG. is a schematic diagram of the process of increasing and decreasing the number of 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 DESCRIPTION OF THE EMBODIMENTS

[0020] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention will be described in detail below with reference to the drawings of the specification. Obviously, the described embodiments are only a 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 protection scope of the present invention.

[0021] 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 (also equipped with a fan for controlling the air introduction speed), and a low-temperature flue gas discharge pipe. Control valves are provided on each pipe.

[0022] 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.

[0023] The low-temperature flue gas discharge pipes of each kiln are connected through pipes, and an induced draft fan is used to exhaust the gas. By setting up high-temperature flue gas discharge pipes, high-temperature flue gas inlet pipes, air inlet pipes and low-temperature flue gas discharge pipes in each kiln, and configuring independent control valves or induced draft devices on each pipe, it aims to build a controllable, adjustable and recyclable heat energy scheduling network. Through the connection of the high-temperature flue gas discharge and inlet pipes with the central high-temperature circulation flue (extra hot gas can be discharged at the tail), the system can realize the sharing and cascade utilization of flue gas heat among multiple kilns, avoiding energy waste caused by direct discharge of high-temperature flue gas. At the same time, the setting of the air inlet pipe, combined with the adjustment of the fan speed, can provide necessary oxygen supplement or cooling gas for the kiln under different working conditions, guide the direction of heat 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 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 the dynamic regulation of each valve under the intelligent scheduling strategy, realizing multiple goals such as heat supply on demand, collaborative preheating and system energy saving.

[0024] 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, including: S1: According to the temperature sensors on each kiln, obtain the temperature data of each kiln.

[0025] Through the temperature sensors arranged at key positions of each kiln, the system can accurately monitor parameters such as the furnace temperature, wall temperature or outlet air temperature, etc. Furthermore, according to the current temperature, the preset target temperature and the kiln capacity, the heat energy demand of the kiln can be obtained through a preset mapping function, and this mapping function is a conventional calculation model in the art. If the kiln is in the heating state, the recoverable heat energy of the current kiln can be obtained in a similar way.

[0026] The implementation of this step is a prerequisite for realizing dynamic heat energy management. The data obtained not only is used to calculate the recoverable heat energy of the current kiln, but also can be used as the core basis for determining whether the kiln is a target object (i.e., whether it needs to be heated) (the judgment of whether the kiln is a target object can be made 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 the subsequent intelligent algorithm modeling and loop strategy optimization process (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 heat energy distribution.

[0027] S2: By analyzing the working data of each kiln, obtain the recoverable heat energy per unit time window of each kiln during the working stage.

[0028] Furthermore, the working data includes: the heat supply of the kiln, the heat conversion rate, the heat demand of the kiln, the air volume of the kiln, and the current firing stage of the kiln within a unit time window; it should be noted that these data are preset according to the firing process. When the working data changes, the strategy optimization process will be readjusted.

[0029] Among them, "heat energy supply to the kiln" involves two situations: 1. Mechanical stable supply. 2. Non-mechanical manual supply. In the first case, the supply amount is easy to evaluate, just based on the fuel amount × supply amount. But in the second case, it is difficult to verify, so in this embodiment, the fuel fluctuation is not considered, and the supply is evaluated only based on the added fuel. This can achieve the simplest analysis process and avoid the situation where the original data of the control process changes too quickly, resulting in incomplete calculations or excessive resource occupation by the calculation process.

[0030] Among them, the firing stages include: idle stage, preheating stage, working stage, and cooling stage.

[0031] During the preheating stage, the kiln absorbs heat energy by closing the valve of the high-temperature flue gas exhaust duct, opening the valve of the high-temperature flue gas introduction duct, opening the valve of the low-temperature flue gas exhaust duct, and closing the valve of the air introduction duct.

[0032] During the working stage, the kiln releases heat energy by opening the valve of the high-temperature flue gas exhaust duct, closing the valve of the high-temperature flue gas introduction duct, closing the valve of the low-temperature flue gas exhaust duct, and opening the valve of the air introduction duct. During the working stage, the control of the kiln controls the valves in a preset firing control process. Therefore, when participating in the circulation process, there is no need to control the kiln in the working stage.

[0033] In the cooling stage, the kiln releases heat energy by closing the valves of the high-temperature flue gas exhaust pipe, the high-temperature flue gas introduction pipe, the low-temperature flue gas exhaust pipe, and the air introduction pipe. The cooling process does not require the thermal cycle to supply all the circulation processes that do not participate in the heat energy.

[0034] Recyclable heat includes: heat energy provided for circulation within a unit time window in the kiln during the working phase. Specifically, recyclable heat = (heat energy supply of the kiln × heat conversion rate - heat energy demand of the kiln). At the same time, based on the current temperature, the preset target temperature and the kiln capacity, the gas output within the unit time window can be obtained based on the functional relationship pre-fitted with historical data.

[0035] S3: According to the task scheduling of the kiln and with the preheating of the kiln as the goal, the heat energy circulation strategy is digitally simulated and optimized.

[0036] Obtain unexecuted task work orders and allocate tasks to the kilns in the idle stage 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 a work order, the higher its priority. The staff needs to allocate the kilns to be executed according to the priority in turn. Among them, a work order can complete tasks through multiple kilns. Ensure that all idle kilns have work order content 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 a work order, the higher its scheduling priority. The staff allocates tasks to the idle kilns in turn according to the sorting order of the work order execution time, 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.

[0037] The task work order includes: work order execution time and execution content.

[0038] Let the i-th kiln in the idle stage , with the allocated task work order ; when the kiln in the idle stage is allocated a task work order, the kiln enters the preheating stage.

[0039] Furthermore, the digital simulation includes: through the improved wolf pack algorithm, taking the unit circulation gas volume (if analyzing kiln i; circulation gas volume = total intake before kiln i - total exhaust) as the wolf pack individuals (the number of individuals = the number of units of circulation gas volume), taking the kilns in the preheating stage as the target objects, conducting multi-objective parameter optimization, and generating the optimization result of the circulation strategy according to the optimal parameters.

[0040] Let the wolf pack increase wolf pack individuals when passing by each kiln in the working stage (when increasing individuals, the increased amount is the exhaust gas volume; at the same time, update the heat energy possessed by each unit of exhaust gas volume to the average value of heat energy because heat energy is involved in the cycle through the gas); the wolf pack moves along the high-temperature circulation flue, and at each of the target objects, the wolf pack divides into part of the individuals to conduct target capture; when the temperature of the target object reaches the target preheating 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.

[0041] 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 continues to divide into individuals to conduct cannibalization on the target object where the capture is successful (maintain the preheating temperature for the kiln that reaches the target temperature).

[0042] The parameters to be optimized are as follows: on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe, within a unit time window, the intake air volume and the outlet air volume at the valve (in fact, these two numbers are equal).

[0043] 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: Step 1: Calculate the number of wolf pack individuals and the physical strength of the wolf pack individuals when reaching the current kiln i.

[0044] Take the heat of the unit circulating air volume as the physical strength of the wolf pack individuals; when passing through the kilns in each 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.

[0045] Among them, represents the total gas volume participating in the cycle after reaching the kth kiln, which is equal to the number of individuals in the wolf pack; j represents the kiln index before k; represents the intake and outlet air volume of the jth kiln. If it is the intake air volume, it is -1 (indicating that there are target individuals before k), and if it is the outlet air volume, it is 1; represents the intake and outlet air 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 target capture. The above update changes according to the accumulation of the time window).

[0046] Among them, represents the physical strength (thermal energy per unit outlet air volume) of the wolf pack individual at the kth kiln; represents the thermal energy (recoverable thermal energy) participating in the cycle within a unit time window when the kth kiln discharges gas.

[0047] Refer to Figure 2 , at the first kiln, increase the number of individuals by 9. At the second kiln, provide thermal energy and output two individuals for supply within a unit time. At the third kiln, during the working stage, provide a recyclable gas volume of 5 (at this time, update the physical strength of each individual).

[0048] Step 2: According to the parameters 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 the wolf pack individuals, and the temperature inside the kiln at the current moment, match the heat exchange rate. In Step 1, after measuring the total circulating gas volume. When the total circulating gas volume reaches kiln i, update the intake air volume of kiln i: Among them, represents the i-th kiln, and the updated parameters (inlet air = outlet air, so it is completed through an update process); represents the parameters of the i-th kiln before update; represents the adaptive learning coefficient, which controls the amplitude of parameter update (usually set between 0.1 and 0.5). represents the direction and step size of this round of adjustment, which is a fixed step size with positive or negative randomness. represents the perturbation coefficient. represents 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 one; that is, for each kiln i, when calculating the total circulating gas volume, k = i - 1. At the same time, i represents the inlet-air kiln, because if the kiln is an outlet-air kiln, the released heat and gas volume are determined values, so no update is required.

[0049] It should be noted that in the process of "matching the heat exchange rate", it is necessary 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 according to historical data in advance; through fitting, the functional relationship between the independent variable and the dependent variable is obtained. By inputting real-time independent variables, the real-time heat exchange rate is output.

[0050] Step 3: Calculate the heat energy obtained within the unit time window by using the heat exchange rate, the inflow amount, and the physical strength of the wolf pack individuals: Among them, represents the inflow amount of the wolf pack individuals to the k-th kiln (that is, the updated parameter value ); if the kiln is not in the preheating stage, then ; represents the heat exchange rate matched in the current time window t; represents the heat obtained in the current time window t.

[0051] 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.

[0052] For the -th kiln, the time required for it to reach the target temperature is: represents the specific heat capacity of the i-th kiln; represents the mass of the i-th kiln; represents the current temperature and the target temperature The temperature difference between them. If Then it is determined that the target capture is successful; the intake air volume is controlled so that The evaporation amount of heat energy. This evaporation amount can be calculated based on the temperature difference between the current temperature and the outside, so the heat demand can also be directly obtained. Therefore, it is necessary to control the valve intake air volume so that The evaporation amount of heat energy.

[0053] By predicting through the accumulation of the "unit time window", when a kiln reaches the "time required to reach the target temperature", the intake air volume of this kiln is updated. 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.

[0054] Taking the minimum value of the sum of the times required for all kilns to reach the target temperature as the objective function, solve it to obtain the optimized parameters. The optimized objective function is: represents the total time, and n represents the number of kilns in the preheating stage.

[0055] Among them, the constraints to be satisfied are: ; when reaching the kth kiln, the total intake air volume of the kilns in the preheating stage cannot exceed the total outlet air 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 wolf packs per unit time.

[0056] ; represents the latest completion time of the preheating task assigned to the ith kiln.

[0057] This strategy abstracts the 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 cycle 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 the control parameters.

[0058] Furthermore, the system takes the intake air volume and outlet air volume of each kiln as the control variables to be optimized, and drives its 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, so that the non-linear mapping relationship between independent variables such as the number of wolf pack individuals, physical strength, and furnace temperature can be accurately modeled, thereby improving the predictability and stability of the control process.

[0059] By dynamically calculating the heat energy acquisition 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.

[0060] 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 kiln.

[0061] According to the pre-trained functional relationship, through the optimized parameters, the opening and closing degrees of the valves on the high-temperature flue gas inlet pipe and the low-temperature flue gas outlet pipe are matched. Use the matched opening and closing degrees on each valve to generate a control instruction.

[0062] By calling the pre-trained functional relationship model, the system can convert the parameters to be optimized (such as the intake air volume and the exhaust air volume) determined during 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.

[0063] When the working data is updated, recalculate the parameters to be optimized, and generate 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 value.

[0064] 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 updates 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 drastic fluctuations or control failures of the system under frequently changing working conditions.

[0065] Through the above control instruction generation and update mechanism, the dynamic adjustment of the hot gas channels among multiple kilns can be realized, significantly improving the heat energy utilization efficiency, reducing energy waste, and at the same time ensuring the real-time performance and robustness of the control system under complex working conditions, meeting the actual needs of intelligent and refined energy-saving management of industrial kilns.

[0066] Embodiment 2 is the second embodiment of the present invention, which is different from the previous embodiment in that: When the above-mentioned functions are implemented in the form of software functional 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 may 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 aforementioned storage medium includes: various media that can store program codes, 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.

[0067] The logic and / or steps represented in the flowchart or described in other ways 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 instructions from the instruction execution system, apparatus, or device and execute the instructions), or in combination 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 combination with an instruction execution system, apparatus, or device.

[0068] More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection parts with one or more wirings (electronic devices), portable computer disk cartridges (magnetic devices), random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memories), fiber optic devices, and portable compact disc read-only memories (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, then editing, interpreting, or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0069] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above 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 logic functions on data signals, application specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0070] Embodiment 3 is the third embodiment of the present invention. This embodiment provides a flue gas recirculation type kiln energy saving system, including: an acquisition unit, which acquires the temperature data of each kiln according to the temperature sensors on each kiln.

[0071] An analysis unit, which obtains the recoverable heat energy per unit time window during the working stage of each kiln by analyzing the working data of each kiln.

[0072] A calculation unit, which, according to the task schedule of the kiln and with the preheating of the to-be-worked kiln as the goal, performs digital simulation and strategy optimization on the heat energy circulation strategy.

[0073] A control unit, which generates a circulation control instruction according to the optimization result of the circulation strategy; and uses the control instruction to perform valve control of the kiln.

[0074] 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 flue gas circulation kiln energy saving method, characterized in that: According to the temperature sensor on each kiln, the temperature data of each kiln is obtained; By analyzing the working data of each kiln, the recoverable heat energy per unit time window of each kiln in the working stage is obtained; According to the task scheduling of the kiln, with the temperature data of the kiln in the preheating stage reaching the target temperature of preheating as the goal, digital simulation and strategy optimization of the heat energy circulation strategy are carried out; Generate loop control instructions according to the optimization result of the loop strategy; Use control instructions to control the valves of the kiln; The digital simulation and strategy optimization include: using the improved wolf pack algorithm, taking the unit circulating gas volume as a wolf pack individual, taking the kiln in the preheating stage as the target object, performing multi-objective parameter optimization, and generating the optimization result of the circulation strategy according to the optimal parameters.

2. A flue gas circulation kiln energy saving method as claimed in claim 1, characterized in that: Multiple kilns are set up, each of which is equipped with a high-temperature flue gas exhaust pipe, a high-temperature flue gas introduction pipe, an air introduction pipe and a low-temperature flue gas exhaust pipe, and each pipe is equipped with a control valve; The high-temperature flue gas exhaust pipe and high-temperature flue gas introduction pipe of each kiln are respectively connected to the high-temperature circulating flue to realize the heat energy exchange between the kilns; The low-temperature flue gas exhaust ducts of each kiln are connected through pipelines, and exhaust is achieved by induced draft fans.

3. A flue gas circulation kiln energy saving method as claimed in claim 2, 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 volume of the kiln, and the current firing stage of the kiln within a unit time window; Among them, the firing stages include: idle stage, preheating stage, working stage, and cooling stage; In the preheating stage, the kiln absorbs heat energy by closing the valve of the high-temperature flue gas exhaust duct, opening the valve of the high-temperature flue gas introduction duct, opening the valve of the low-temperature flue gas exhaust duct, and closing the valve of the air introduction duct; During the working stage, the kiln releases heat energy by opening the valve of the high-temperature flue gas exhaust duct, closing the valve of the high-temperature flue gas introduction duct, closing the valve of the low-temperature flue gas exhaust duct, and opening the valve of the air introduction duct; In the cooling stage, the kiln releases heat energy by closing the valve of the high-temperature flue gas exhaust pipe, closing the valve of the high-temperature flue gas introduction pipe, closing the valve of the low-temperature flue gas exhaust pipe, and opening the valve of the air introduction pipe; The recoverable heat energy includes: the heat energy provided for circulation within a unit time window in the kiln during the working phase.

4. A flue gas circulation kiln energy saving method as claimed in claim 3, characterized in that: The task scheduling includes: obtaining unexecuted task work orders, and assigning tasks to kilns in an idle stage according to the task work orders; The task work order includes: work order execution time and execution content; Assume that the i-th kiln is in the idle stage , with assigned task tickets ; When a kiln in the idle stage is assigned to a task work order, the kiln enters the preheating stage.

5. A flue gas circulation kiln energy saving method as claimed in claim 4, characterized in that: The digital simulation also includes: assuming that each time the wolf pack passes through a kiln in the working stage, an increase in the wolf pack individuals is made; the wolf pack moves along the high-temperature circulating flue, and at each target object, the wolf pack separates some individuals to capture the target; when the temperature of the target object reaches the preheating target temperature, the target is captured successfully; Each target object only includes two control processes: the parameters to be optimized when the target is not captured, and the parameters to be optimized after the target is captured. After the target is captured, the wolf pack continues to separate individuals to share the captured target object. The parameters to be optimized are: the air intake and air outlet at the valves on the high-temperature flue gas introduction pipeline and the low-temperature flue gas exhaust pipeline within a unit time window.

6. A flue gas circulation kiln energy saving method as claimed in claim 5, characterized in that: The strategy optimization includes: updating the parameters to be optimized of 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 their physical strength when they arrive at the current kiln i; The heat energy per unit of circulating gas volume is regarded as the physical strength of the individual wolf pack; when passing through the kiln at each working stage, the heat energy of each individual wolf pack is reset and calculated as: the total heat energy of the circulating gas divided by the total number of individual wolf packs; Step 2: According to the parameters to be optimized, the amount of wolf pack individuals entering within the unit time window is controlled; according to the amount of wolf pack individuals entering, the physical strength of the wolf pack individuals, and the temperature in the kiln at the current moment, the heat exchange rate is matched; Step 3: Calculate the heat energy obtained within a unit time window using the heat exchange rate, the amount of wolf pack individuals entering, and the physical strength of the wolf pack individuals; Step 4: Calculate the time required for the kiln to reach the target temperature based on the calculation result of step 3 and the temperature in the kiln at the current moment; The minimum value of the sum of the time required for all target objects to reach the target temperature is taken as the objective function, and the solution is performed to obtain the optimized parameters.

7. A flue gas circulation kiln energy saving method as claimed in claim 6, characterized in that: The loop control instructions include: matching the opening and closing degrees of valves on the high-temperature flue gas introduction pipe and the low-temperature flue gas discharge pipe through optimized parameters according to the pre-trained functional relationship; Generate control instructions using the opening and closing degrees matched on each valve; When the working data is updated, the parameters to be optimized are recalculated, and updated control instructions are generated according to the recalculated parameters; During recalculation, the parameters to be optimized are updated with the optimized parameters before recalculation as initial values.

8. A flue gas circulation type kiln energy-saving system, using a flue gas circulation type kiln energy-saving method as claimed in any one of claims 1 to 7, characterized in that: include: The acquisition unit obtains the temperature data of each kiln according to the temperature sensor on each kiln; The analysis unit analyzes the working data of each kiln to obtain the recoverable heat energy per unit time window of each kiln during the working stage; The calculation unit performs digital simulation and strategy optimization on the heat energy circulation strategy according to the task scheduling of the kiln and takes the temperature data of the kiln in the preheating stage to reach the target preheating temperature as the goal; The control unit generates a cycle control instruction according to the optimization result of the cycle strategy, and controls the valve of the kiln furnace by using the control instruction.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a flue gas circulation furnace energy saving method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a flue gas circulation furnace energy saving method as described in any one of claims 1 to 7 are implemented.

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