Storage medium, and feeding rate control method, device and equipment of heating furnace

Abstract

The invention discloses a storage medium and a feeding rate control method, device and equipment of a heating furnace. The method comprises the steps that a three-dimensional thermodynamic model is generated according to heating furnace modeling and gridding is carried out; determining input parameters of the three-dimensional thermodynamic model; calculating according to the input parameters to obtain a simulation result of the three-dimensional thermodynamic model after a time step length; according to the temperature distribution predicted value, judging whether a grid unit exceeding a preset target temperature interval is included in a preset pre-judgment area or not, and if yes, solving a pre-selected value data set of the feeding rate parameter and updating the feeding rate parameter; if not, a feeding rate control instruction of the heating furnace is generated according to the current feeding rate parameter; the method plays a role in preventing advanced coking and insufficient temperature in the heating furnace generation furnace, so that the control effect of the heating furnace is improved.

Description

Technical Field

[0001] The invention relates to the field of microwave heating, and in particular to a storage medium, a heating furnace feed rate control method, a device and equipment. Background Art

[0002] Delayed coking is an important technological means for lightening the quality of atmospheric and vacuum residue in China.

[0003] Delayed coking is a type of thermal cracking process, which is mainly composed of two core equipments: a heating furnace and a coke tower. The heating furnace is mainly responsible for the rapid heating of the raw materials. When the temperature of the raw materials reaches the reaction temperature (usually around 500 degrees) but has not yet coked, they quickly enter the coke tower, and delay the thermal cracking and condensation reactions of the raw materials to occur in the coke tower, generating coke and light oil products.

[0004] In order to avoid premature coking in the heating furnace, the feed rate needs to be controlled within a reasonable range.

[0005] In the prior art, the feed rate is generally adjusted by monitoring the temperature data at the outlet of the heating furnace.

[0006] The inventors have found through research that the feed rate control method of the heating furnace in the prior art has at least the following defects:

[0007] The control effect is poor, and the heating furnace is still prone to premature coking or insufficient temperature problems.

[0008] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0009] The purpose of the present invention is to effectively prevent premature coking and insufficient temperature in a heating furnace so as to improve the control effect of the heating furnace.

[0010] The present invention provides a method for controlling a feed rate of a heating furnace, comprising the steps of:

[0011] S11, generating a three-dimensional thermodynamic model of the heating furnace according to the heating furnace modeling and meshing the three-dimensional thermodynamic model;

[0012] S12, determining the input parameters of the three-dimensional thermodynamic model; the input parameters include: geometric shape parameters, size parameters and heat source power parameters of the heating furnace, and physical property parameters and feed rate parameters of the vacuum residue;

[0013] S13, calculating and obtaining a simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes a predicted value of the temperature distribution in the heating furnace;

[0014] S14, judging whether the preset pre-determination area includes grid units exceeding the preset target temperature range according to the temperature distribution prediction value, if yes, go to step S15; if no, go to step S16; the pre-determination area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet;

[0015] S15, solving the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and taking the median of the pre-selected value data set as the updated feed rate parameter when returning to step S13; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area;

[0016] S16. Generate a feed rate control instruction for the heating furnace according to the current feed rate parameter.

[0017] In another aspect of the present invention, there is also provided a feed rate control device for a heating furnace, comprising:

[0018] A modeling unit, used for generating a three-dimensional thermodynamic model of the heating furnace according to the modeling of the heating furnace and meshing the three-dimensional thermodynamic model;

[0019] An input parameter determination unit is used to determine the input parameters of the three-dimensional thermodynamic model; the input parameters include: geometric shape parameters, size parameters and heat source power parameters of the heating furnace, and physical property parameters and feed rate parameters of vacuum residue oil;

[0020] A temperature distribution prediction unit, used for calculating the simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes the predicted value of the temperature distribution in the heating furnace;

[0021] A temperature judgment unit is used to judge whether a preset pre-judgment area includes grid cells exceeding a preset target temperature range according to the temperature distribution prediction value, and if so, transfer to a rate update unit; if not, transfer to a control instruction generation unit; the pre-judgment area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet;

[0022] A rate updating unit, used to solve the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and use the median of the pre-selected value data set as the updated feed rate parameter when returning to the temperature distribution prediction unit; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area;

[0023] The control instruction generating unit is used to generate a feed rate control instruction of the heating furnace according to the current feed rate parameter.

[0024] On the other hand, an embodiment of the present invention further provides a feed rate control device for a heating furnace, which includes a computer program stored on a medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0025] On the other hand, a storage medium is provided on which a computer program is stored. When the computer program is executed by a processor, each step of the method for controlling the feed rate of a heating furnace as described in any one of the above items is implemented.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] In the present invention, a corresponding three-dimensional thermodynamic model is generated according to the heating furnace, and the three-dimensional thermodynamic model can calculate a predicted value of the temperature distribution in the heating furnace after a time step; the present invention sets a pre-determination area at a certain distance from the outlet of the heating furnace as a reference area to judge the temperature, and when it is predicted that there will be grid units exceeding the preset target temperature range, the three-dimensional thermodynamic model can be used for calculation to obtain a feed rate that is adapted when there are no grids exceeding the target temperature range in the pre-determination area, thereby preventing premature coking and insufficient temperature in the heating furnace, thereby improving the control effect of the heating furnace.

[0028] Furthermore, in order to reduce the computer's calculation requirements, in the present invention, the size of the pre-determination area is associated with the feed rate, so that a reasonable time margin can be left for the control execution of the feed rate and the effectiveness of temperature control, thereby making the temperature at the hot furnace outlet meet the requirements while avoiding excessive speed reduction or speed increase of the feed, so that the heating furnace can be consistently in a high-efficiency working state, thereby maximizing the production efficiency of the heating furnace.

[0029] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a step diagram of the feeding rate control method of the heating furnace described in the present invention;

[0031] Figure 2 It is a structural schematic diagram of the feed rate control device of the heating furnace in the present invention;

[0032] Figure 3 It is a structural schematic diagram of the feed rate control device of the heating furnace described in the present invention. DETAILED DESCRIPTION

[0033] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0034] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0035] In this document, for the convenience of description, spatial relative terms such as "below", "below", "down", "above", "above", "upper", etc. may be used to describe the relationship between one element or feature and another element or feature in the accompanying drawings. It should be understood that the spatial relative terms are intended to include different orientations of the object in use or operation in addition to the orientation depicted in the figure. For example, if the object in the figure is turned over, the element described as being "below" or "below" other elements or features will be oriented "above" the element or feature. Therefore, the exemplary term "below" can include both below and above. Objects may also have other orientations (rotated 90 degrees or other orientations) and the spatial relative terms used in this document should be interpreted accordingly.

[0036] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit a specific position or relative relationship. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable.

[0037] Embodiment 1

[0038] In order to effectively prevent premature coking and insufficient temperature in the heating furnace and improve the control effect of the heating furnace, such as Figure 1 As shown, in an embodiment of the present invention, a method for controlling a feed rate of a heating furnace is provided, comprising the steps of:

[0039] A method for controlling a feed rate of a heating furnace, characterized in that it comprises the steps of:

[0040] S11, generating a three-dimensional thermodynamic model of the heating furnace according to the heating furnace modeling and meshing the three-dimensional thermodynamic model;

[0041] The embodiment of the present invention utilizes three-dimensional thermodynamic simulation technology to simulate the temperature and coking distribution data in the heating furnace.

[0042] In practical applications, according to the heating furnace modeling, a three-dimensional thermodynamic model of the heating furnace is generated and the three-dimensional thermodynamic model is meshed. The specific method can be:

[0043] Assume the inner diameter of the heating furnace is R h , the tube length is H h The gridded three-dimensional thermodynamic model has β grids and is stored in the set Data_β, where the temperature of the jth grid in the set Data_β is T j , the free coke content is Char j ;

[0044] In practical applications, the grid of the three-dimensional thermodynamic model in the embodiment of the present invention can specifically be one or more of a tetrahedral grid, a hexahedral grid, a pyramid grid, a wedge grid and a polyhedral grid; its calibration method can be one or more of general physics, fluid dynamics, plasma and semiconductor.

[0045] It should be noted that, in the embodiment of the present invention, the heating furnace is connected in series before multiple parallel coke towers, and the slag-reduced raw materials continuously enter the furnace from the inlet of the heating furnace and are heated to a specified temperature. Then, according to the state of the coke tower and combined with the control of the feed valve, after going out from the outlet of the heating furnace, the slag-reduced raw materials that have not been coked after being heated enter the coke tower in the coke tower state of green coke for delayed coking.

[0046] S12, determining the input parameters of the three-dimensional thermodynamic model; the input parameters include: geometric shape parameters, size parameters and heat source power parameters of the heating furnace, and physical property parameters and feed rate parameters of the vacuum residue;

[0047] Before simulating the temperature distribution in the heating furnace, it is necessary to generate various input parameters of the three-dimensional thermodynamic model, which may specifically include the geometry, size, heat source power of the heating furnace, and the physical properties and feed rate of the vacuum residue.

[0048] In the embodiments of the present invention, any existing heating method can be used for heating, such as one or more of electric heating, fuel gas radiation heating, microwave heating, plasma heating, laser heating, and electron beam heating.

[0049] It should be noted that the heat source power of the heating furnace in the embodiment of the present invention refers to the heat power required when the heating furnace directly or indirectly heats the slag-reducing raw materials. For example, when the slag-reducing raw materials in the furnace are heated by electric heating, the heat source power of the heating furnace refers to the electric power required to raise the slag-reducing raw materials to a specified temperature; for another example, when the fuel gas radiation heating is adopted, it is the amount of heat radiation required to raise the slag-reducing raw materials to a specified temperature, and the heat source power at this time refers to the intake amount of the fuel gas.

[0050] In the embodiment of the present invention, it is preferred to adopt the method of fuel gas radiation heating.

[0051] S13, calculating and obtaining a simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes a predicted value of the temperature distribution in the heating furnace;

[0052] In an embodiment of the present invention, the simulation result of the three-dimensional thermodynamic model calculated according to the input parameters is periodic, that is, the calculation in a calculation cycle is completed once after each time step (each calculation cycle refers to the generation of a feed rate control instruction for the heating furnace); in practical applications, the value of the time step can be determined based on the actual computing power of the computer and the experience of technical personnel in this field, and is not specifically limited here.

[0053] In an embodiment of the present invention, the purpose of calculating the simulation results of the three-dimensional thermodynamic model based on the input parameters is to obtain the temperature prediction value in the heating furnace at the next time step under the current time step, that is, to predict the temperature prediction value in the heating furnace.

[0054] S14, judging whether the preset pre-determination area includes grid units exceeding the preset target temperature range according to the temperature distribution prediction value, if yes, go to step S15; if no, go to step S16; the pre-determination area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet;

[0055] In the embodiment of the present invention, the pre-determination zone is a preset size interval in the heating chamber at a preset distance from the outlet of the heating furnace. The temperature of the slag-reduced raw material when it reaches the pre-determination zone is determined by a three-dimensional thermodynamic model to predict in advance whether premature coking will occur. In practical applications, the position of the pre-determination zone in the heating chamber can be determined by those skilled in the art based on experience or multiple experiments. Furthermore, the precise position can be calculated according to the following formula:

[0056] The specific process of calculating the pre-determination area can be as follows:

[0057] Determine the end point position L1 of the pre-determination area according to formula 1;

[0058] L1=v×xΔt (Formula 1);

[0059] Wherein, L1 is the distance between the end point of the pre-determination zone and the outlet of the heating furnace; v is the current feed rate; Δt is a time step;

[0060] Determine the starting point L2 of the pre-determination area according to formula 2;

[0061] L2 = v × (x + 1) Δt (Formula 2);

[0062] Wherein, L2 is the length from the starting point of the pre-determination zone to the outlet of the heating furnace; the value of X includes 1, 2 or 3.

[0063] It can be seen from the above that, according to the different calculation time steps Δt used in the three-dimensional thermodynamic model and the current feed rate v, the starting position and the end position of the pre-determination zone will also be different, so that a more accurate reference position can be obtained; in formula 1 and formula 2, v×Δt represents the travel distance of the material in the heating chamber in one time step; thus, when the value of X is 1, the pre-determination zone is set at the travel distance of one time step before the outlet of the heating furnace, that is, calculating the temperature at this position is equal to predicting the temperature one time step in advance; similarly, when the value of X is 2, the pre-determination zone is set at the travel distance of two time steps before the outlet of the heating furnace, that is, calculating the temperature at this position is equal to predicting the temperature two time steps in advance, and so on. In practical applications, the value of X can be selected according to the execution time of the control instruction of the heating furnace and the length of the time delay between the temperature change in the heating chamber; in general, the value of X can be 1.

[0064] In the embodiment of the present invention, if the heating method of the heating furnace is microwave heating or plasma heating, the operating temperature is lower than the temperature threshold of the hot spot effect; if the heating method of the heating furnace is electric heating, fuel gas radiation heating, laser heating, or electron beam heating, then the hot spot effect will not be caused; therefore, in this step, it is only necessary to perform data processing on the grid on the outlet cross section of the heating furnace, which can effectively reduce the amount of calculation and thus effectively improve the calculation efficiency.

[0065] In the embodiment of the present invention, each grid on the pre-determination area can be traversed to determine whether it exceeds the target temperature range; the target temperature range in the embodiment of the present invention is the temperature range from the lower limit value of the reaction temperature when the heating furnace heats the material (i.e., the lower limit temperature value of the target temperature range, which is higher than the temperature value at which insufficient temperature occurs) to the upper limit value at which the material does not coke (overtemperature, the upper limit temperature value of the target temperature range). In practical applications, the target temperature range can be specifically 400℃-600℃; preferably 500-550℃.

[0066] When the current judgment area includes grids that exceed the preset target temperature range, it means that premature coking or insufficient temperature will occur, and the feed rate of the heating furnace needs to be adjusted. At this time, it is necessary to proceed to the subsequent feed rate calculation step, that is, step S15; when the current judgment area does not include grids that exceed the preset target temperature range, it means that the feed rate of the heating furnace is appropriate at this time, and the current feed rate parameters of the three-dimensional thermodynamic model can be used to control the physical heating furnace equipment, that is, it is necessary to proceed to step S16 at this time to generate corresponding control instructions according to the current feed rate parameters of the three-dimensional thermodynamic model.

[0067] S15, solving the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and taking the median of the pre-selected value data set as the updated feed rate parameter when returning to step S13; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area;

[0068] Taking the heat source of the heating furnace as fuel gas radiation heating as an example, when solving the value range of the feed rate according to the simulation results of the three-dimensional thermodynamic model, the specific process may include:

[0069] S21, assuming that the current feed rate parameter of the heating furnace is v, and the tube length of the heating chamber is H h ;

[0070] S22, taking the length L1-L2 of the pre-determination zone as a unit; and taking the heating furnace outlet as a starting point, logically dividing the heating chamber into A logical area; when determining the pre-determination area, the value of X can be 1.

[0071] It should be noted that since the embodiment of the present invention divides the logical areas starting from the heating furnace outlet cross-section, when dividing to the end close to the heating furnace inlet, the last logical area may not be consistent with the previous logical area in size, but it will not affect the calculation process.

[0072] S23, respectively generate matrix data sets Area[n] for each of the logic areas; wherein n is the serial number identifier of the matrix data set; the matrix data sets of each logic area are identified in order from the largest to the smallest starting from the heating furnace inlet, wherein the matrix data set of the pre-determination area is recorded as Area[0]; the matrix data set includes the unit information of each grid unit in the logic area, and the unit information includes spatial position data and temperature data; the maximum value of n is: The minimum value of n is:

[0073] In the embodiment of the present invention, each logical area Area[n] stores the unit information (including spatial position data and temperature data) of all grid cells in the area.

[0074] For example, assuming that the heating chamber is divided into 10 logical areas, the data sets of each logical area are sorted as follows from the heating furnace exit to the heating furnace entrance: Area[-1], Area[0], Area[1], Area[2], Area[3], Area[4], Area[5], Area[6], Area[7], and Area[8]. Among them, Area[8] is the logical area closest to the heating furnace entrance, and its size is likely to be smaller than other logical areas.

[0075] S24, assuming that Area[0] includes a grid cell i that exceeds the target temperature range; current feed rate v=L1 / Δt;

[0076] According to Formula 1, the current feed rate is v=L1 / Δt, where the time step Δt is set manually. Therefore, as long as the time step is set small enough, it can be approximately considered that the material rate is uniform.

[0077] S25, determining whether the grid unit i is an over-temperature grid unit or an under-temperature grid unit;

[0078] Whether the grid unit exceeds the target temperature range can be determined based on the set target temperature range; the temperature range includes: the heating furnace heats the material to the lower limit value of the reaction temperature as the lower limit temperature value of the temperature range, if it is lower than the lower limit temperature value, insufficient temperature will occur; the heating furnace heats the material to the limit value where no coking occurs as the upper limit temperature value of the temperature range, if it is higher than the upper limit temperature value, premature coking will occur; in actual applications, the target temperature range can be specifically 400℃-600℃; preferably 500-550℃.

[0079] S26, if the grid unit i is an over-temperature grid unit, proceed to step S27;

[0080] S27, searching for the grid cell i' corresponding to the spatial position of the grid cell i from Area[m]; the initial value of m is 1;

[0081] S28. If the grid cell i' is an over-temperature grid cell, calculate and save the optional feed rate v corresponding to Area[m] m ;v m =L / (Lm(L2-L1))v; after setting m=m+1, return to step S27; the overtemperature is exceeding the upper limit of the target temperature range; where L is the distance from the grid unit i to the entrance of the heating furnace.

[0082] Specifically, let the grid cell i of Area[0] be the over-temperature grid cell, the temperature of the grid cell i is T, the distance of the grid cell i from the entrance is L, and the temperature of the corresponding grid cell i' of Area[m] is T m , T m No over-temperature, the distance from the entrance is Lm(L2-L1).

[0083] According to the basic laws of thermodynamics, the temperature change of an object is proportional to the amount of heat absorbed or released by the object. Therefore, the residence time of the material is positively correlated with the heat flux. Therefore, if we want to prevent the grid cell i in Area[0] from overheating, we need to change the temperature of the grid cell from T to T. m At the same time, the feed rate v after material adjustment is required (that is, the optional feed rate v corresponding to Area[m] m )The time from the inlet to the grid cell i of Area[0] is the same as the time from the inlet to the grid cell i' of Area[m] at the feed rate v (original rate) before adjustment.

[0084] Therefore, the time t1 from the inlet to the grid cell i' of Area[m] of the current feed rate v before adjustment (i.e., the original rate) is (Lm(L2-L1)) / v, and the feed rate after material adjustment (i.e., the optional feed rate v corresponding to Area[m]) m) The time t2 from the entrance to the grid cell i of Area[0] is L / v m ; t1 = t2, so the calculation formula for the feed rate should be: v m =L / (Lm(L2-L1))v;

[0085] S29. If there is no over-temperature grid in the grid unit i', generate a pre-selected value data set according to the saved optional feed rate.

[0086] When all over-temperature grid cells are calculated, the corresponding optional feed rate v m After that, a pre-selected value data set is generated.

[0087] In this way, multiple such feed rates can be obtained, and these rates are sorted from large to small, and the median among them is used as the final feed rate that needs to be increased.

[0088] Furthermore, when a grid unit is lower than the lower limit temperature of the preset target temperature range (i.e., insufficient temperature), the feed rate needs to be lowered to increase the heating time of the material. Specifically, the corresponding feed rate adjustment value can be determined by the following steps, including:

[0089] S31, constructing a virtual heating chamber connected to the heating chamber with the outlet of the heating furnace as the starting point; the length of the virtual heating chamber is equal to that of the heating chamber;

[0090] When there is a grid unit whose temperature is lower than the lower limit temperature value of the preset target temperature range, it means that at the current feed rate, a longer heating time is required to reach the lower limit temperature value of the target temperature range. Therefore, it means that at the current feed rate, the material needs to move a longer distance to reach the lower limit temperature value of the target temperature range. In order to calculate the moving position of the material when it reaches the lower limit temperature value of the target temperature range at the current feed rate in the three-dimensional thermodynamic model, in an embodiment of the present invention, a heating chamber with a tube length twice that of the actual tube length of the heating furnace is also virtually constructed. The specific method is to construct a virtual heating chamber connected to the heating chamber with the heating furnace outlet as the starting point; the virtual heating chamber is equal to the tube length of the original heating chamber.

[0091] S32, taking the length L1-L2 of the pre-determination zone as a unit; and taking the heating furnace outlet as a starting point, logically dividing the virtual heating chamber into Virtual logical area;

[0092] S33, respectively generating matrix data sets of the virtual logic areas; the serial number identification of the matrix data sets of the virtual logic areas is set in a manner that is consistent with the sorting manner of the matrix data sets of the logic areas and continues with the minimum serial number identification of the matrix data sets of the logic areas;

[0093] Assume that the original heating chamber is divided into 10 logical areas. From the heating furnace entrance to the heating furnace exit, the data sets of each logical area are sorted as follows: Area[8], Area[7], Area[6], Area[5], Area[4], Area[3], Area[2], Area[1], Area[0], Area[-1];

[0094] The virtual heating cavity is also divided into 10 logical areas. According to the direction from the connecting end of the original heating cavity and the virtual heating cavity (i.e., the outlet position of the heating furnace) to the other end of the virtual heating cavity, the data sets of each logical area are sorted as follows: Area[-2], Area[-3], Area[-4], Area[-5], Area[-6], Area[-7], Area[-8], Area[-9], Area[-10], and Area[-11].

[0095] S34, searching for the grid cell i' corresponding to the spatial position of the grid cell i from Area[m]; the initial value of m is -1;

[0096] S35. If the grid unit i' is an under-temperature grid unit, calculate and save the optional feed rate v corresponding to Area[m] m ;v m =L / (Lm(L2-L1))v; after setting m=m-1, return to step S34; the insufficient temperature is lower than the lower limit of the target temperature range;

[0097] S36: If there is no under-temperature grid in the grid unit i', generate a pre-selected value data set according to the saved optional feed rate.

[0098] Specifically, if grid unit i is an underheated grid unit, the heating chamber of the heating furnace in the three-dimensional thermodynamic model needs to be extended to 2 times (i.e., 2H h ), and calculate the temperature distribution of the extended area, and then divide the extended area into several areas according to the size of the pre-determination area (since Area[-1] has been allocated, the data set of the extended area starts from Area[-2], and so on). Afterwards, for the insufficiently warm grid unit i, search for the grid unit corresponding to its spatial position from Area[-1], Area[-2], Area[-3]... in turn, and retrieve the information in its data set. If there is a grid with sufficient temperature (that is, reaching the lower limit temperature value of the target temperature range), stop searching and update the feed rate vi corresponding to the grid unit. In this way, multiple such feed rates (that is, multiple optional feed rates v) can be obtained. m), sort these optional feed rates from large to small, and take the median as the final feed rate that needs to be reduced.

[0099] In addition, because the embodiment of the present invention needs to virtually generate an extended area of ​​the heating furnace and calculate the temperature distribution in the case of insufficient temperature, this may cause the response time of the system to be prolonged. Since the situation of insufficient temperature is usually not as urgent as that of overtemperature (mainly because overtemperature will cause coking in the heating furnace), the situation of insufficient temperature can also be simply preset with a downward adjustment percentage as the reduction in the updated feed rate.

[0100] S16. Generate a feed rate control instruction for the heating furnace according to the current feed rate parameter.

[0101] When it is determined based on the temperature distribution prediction value that the preset pre-determination area no longer includes grid units that exceed the preset target temperature range (step S14), it means that the current feed rate used for the three-dimensional thermodynamic model in step S13 is appropriate. Therefore, the feed rate control instruction of the heating furnace can be generated according to the current feed rate parameters to control the physical heating furnace accordingly.

[0102] Furthermore, in order to avoid control delays due to system response time, in an embodiment of the present invention, the following steps may be included to generate control instructions in a timely manner.

[0103] S17. Within a calculation cycle, when the response duration is greater than a time step (or a plurality of preset time steps), go to step S16; the response duration takes the first calculation simulation result started in the entire calculation cycle as the timing starting point, and the timing ending point is when the condition for going to step S16 is met.

[0104] In each calculation cycle, when the amount of calculation is too large, the response time may be too long, and the control opportunity may be missed. In the embodiment of the present invention, each calculation in a calculation cycle is constantly approaching the theoretical optimal result. Therefore, even if the entire calculation cycle has not been completed, the current calculation result can also play a certain technical effect (preventing premature coking and insufficient heating). Therefore, by timely generating control instructions, the occurrence of premature coking and insufficient heating can be effectively prevented; then further control instructions can be obtained through the next calculation cycle.

[0105] To summarize, in an embodiment of the present invention, a corresponding three-dimensional thermodynamic model is generated according to the heating furnace, and the three-dimensional thermodynamic model can calculate a predicted value of the temperature distribution in the heating furnace after a time step; the present invention sets a pre-determination area at a certain distance from the outlet of the heating furnace as a reference area to judge the temperature, and when it is predicted that there will be grid units exceeding the preset target temperature range, the three-dimensional thermodynamic model can be used for calculation to obtain a feed rate that is adapted when there are no grids exceeding the target temperature range in the pre-determination area, thereby preventing premature coking and insufficient temperature in the heating furnace, thereby improving the control effect of the heating furnace.

[0106] Furthermore, in order to reduce the computer's calculation requirements, in an embodiment of the present invention, the size of the pre-determination area is associated with the feed rate, so that a reasonable time margin can be left for the control execution of the feed rate and the effectiveness of temperature control, thereby making the temperature at the hot furnace outlet meet the requirements while avoiding excessive slowing down or speeding up of the feed, so that the heating furnace can be consistently in a high-efficiency working state, thereby maximizing the production efficiency of the heating furnace.

[0107] Embodiment 2

[0108] In another aspect of the embodiment of the present invention, a feeding rate control device for a heating furnace is also provided. Figure 2 The schematic diagram of the structure of the feeding rate control device of the heating furnace provided by the embodiment of the present invention is shown. The feeding rate control device of the heating furnace is Figure 1 The device corresponding to the feeding rate control method of the heating furnace described in the corresponding embodiment, that is, realized by means of a virtual device Figure 1 In the corresponding embodiment, the feed rate control method of the heating furnace, each virtual module constituting the feed rate control device of the heating furnace can be executed by an electronic device, such as a network device, a terminal device, or a server. Specifically, the feed rate control device of the heating furnace in the embodiment of the present invention includes:

[0109] A modeling unit 01 is used to generate a three-dimensional thermodynamic model of the heating furnace according to the modeling of the heating furnace and to mesh the three-dimensional thermodynamic model;

[0110] An input parameter determination unit 02 is used to determine the input parameters of the three-dimensional thermodynamic model; the input parameters include: geometric shape parameters, size parameters and heat source power parameters of the heating furnace, and physical property parameters and feed rate parameters of the vacuum residue;

[0111] The temperature distribution prediction unit 03 is used to calculate the simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes the predicted value of the temperature distribution in the heating furnace;

[0112] The temperature judgment unit 04 is used to judge whether the preset pre-judgment area includes grid cells exceeding the preset target temperature range according to the temperature distribution prediction value, and if so, transfer to the rate update unit; if not, transfer to the control instruction generation unit; the pre-judgment area is a preset size interval in the heating chamber at a preset distance from the heating furnace outlet;

[0113] The rate updating unit 05 is used to solve the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and use the median of the pre-selected value data set as the updated feed rate parameter when returning to the temperature distribution prediction unit; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area;

[0114] The control instruction generating unit 06 is used to generate a feed rate control instruction for the heating furnace according to the current feed rate parameter.

[0115] Since the working principle and beneficial effects of the feed rate control device for the heating furnace in the embodiment of the present invention have been Figure 1 The corresponding method for controlling the feed rate of the heating furnace is also recorded and described, so they can be cross-referenced and will not be repeated here.

[0116] Embodiment 3

[0117] Corresponding to the method embodiment, in the embodiment of the present invention, a feed rate control device for a heating furnace is also provided, such as a terminal, a server, etc. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto.

[0118] An example diagram of a hardware structure block diagram of a feed rate control device for a heating furnace provided in an embodiment of the present invention is shown in FIG. Figure 3 As shown, this may include:

[0119] Processor 1, communication interface 2, memory 3 and communication bus 4;

[0120] The processor 1, the communication interface 2, and the memory 3 communicate with each other via the communication bus 4;

[0121] Optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;

[0122] The processor 1 may be a central processing unit CPU, or an application-specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0123] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0124] The processor 1 is specifically used to execute the computer program stored in the memory 3 to perform the following steps:

[0125] The steps for generating the bio-oil yield prediction model include:

[0126] S11, generating a three-dimensional thermodynamic model of the heating furnace according to the heating furnace modeling and meshing the three-dimensional thermodynamic model;

[0127] S12, determining the input parameters of the three-dimensional thermodynamic model; the input parameters include: geometric shape parameters, size parameters and heat source power parameters of the heating furnace, and physical property parameters and feed rate parameters of the vacuum residue;

[0128] S13, calculating and obtaining a simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes a predicted value of the temperature distribution in the heating furnace;

[0129] S14, judging whether the preset pre-determination area includes grid units exceeding the preset target temperature range according to the temperature distribution prediction value, if yes, go to step S15; if no, go to step S16; the pre-determination area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet;

[0130] S15, solving the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and taking the median of the pre-selected value data set as the updated feed rate parameter when returning to step S13; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area;

[0131] S16. Generate a feed rate control instruction for the heating furnace according to the current feed rate parameter.

[0132] The above product can execute the method provided in the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the feeding rate control method of the heating furnace provided in the embodiment of the present invention.

[0133] Embodiment 4

[0134] In an embodiment of the present invention, a storage medium is further provided, which may store a program suitable for execution by a processor, wherein the program is used to:

[0135] S11, generating a three-dimensional thermodynamic model of the heating furnace according to the heating furnace modeling and meshing the three-dimensional thermodynamic model;

[0136] S12, determining the input parameters of the three-dimensional thermodynamic model; the input parameters include: geometric shape parameters, size parameters and heat source power parameters of the heating furnace, and physical property parameters and feed rate parameters of the vacuum residue;

[0137] S13, calculating and obtaining a simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes a predicted value of the temperature distribution in the heating furnace;

[0138] S14, judging whether the preset pre-determination area includes grid units exceeding the preset target temperature range according to the temperature distribution prediction value, if yes, go to step S15; if no, go to step S16; the pre-determination area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet;

[0139] S15, solving the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and taking the median of the pre-selected value data set as the updated feed rate parameter when returning to step S13; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area;

[0140] S16. Generate a feed rate control instruction for the heating furnace according to the current feed rate parameter.

[0141] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0142] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the methods provided by other embodiments of the present invention.

[0143] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0144] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0145] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0146] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0147] It should be understood that in the embodiments of the present application, the various embodiments and features can be combined with each other to solve the aforementioned technical problems.

[0148] If the 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 this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0149] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the feed rate of a heating furnace, characterized in that: Includes steps: S11, generating a three-dimensional thermodynamic model of the heating furnace according to the heating furnace modeling and meshing the three-dimensional thermodynamic model; S12, determining input parameters of the three-dimensional thermodynamic model; The input parameters include: geometric parameters, size parameters and heat source power parameters of the heating furnace, as well as physical property parameters and feed rate parameters of vacuum residue oil; S13, calculating and obtaining a simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes a predicted value of the temperature distribution in the heating furnace; S14, judging whether the preset pre-determination area includes grid units exceeding the preset target temperature range according to the temperature distribution prediction value, if yes, go to step S15; if no, go to step S16; the pre-determination area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet; S15, solving the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and taking the median of the pre-selected value data set as the updated feed rate parameter when returning to step S13; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area; S16. Generate a feed rate control instruction for the heating furnace according to the current feed rate parameter.

2. The method for controlling the feed rate of a heating furnace according to claim 1, characterized in that: Determining the pre-determination area includes: Determine the end point position L1 of the pre-determination area according to formula 1; L1=v×Δt (Formula 1); Wherein, L1 is the distance between the end point of the pre-determination zone and the outlet of the heating furnace; v is the current feed rate; Δt is a time step; Determine the starting point L2 of the pre-determination area according to formula 2; L2 = v × (x + 1) Δt (Formula 2); Wherein, L2 is the length from the starting point of the pre-determination zone to the outlet of the heating furnace; the value of X includes 1, 2 or 3.

3. The method for controlling the feed rate of a heating furnace according to claim 1 or 2, characterized in that: Also includes: In a calculation cycle, when the response time is greater than the time step, go to step S16; the response time takes the first calculation simulation result started in the entire calculation cycle as the timing starting point and the time ending point when the condition for going to step S16 is met.

4. The method for controlling the feed rate of a heating furnace according to claim 3, characterized in that: The grid of the three-dimensional thermodynamic model includes: One or more of a tetrahedral mesh, a hexahedral mesh, a pyramid mesh, a wedge mesh, and a polyhedral mesh.

5. The method for controlling the feed rate of a heating furnace according to claim 4, characterized in that: The calibration method of the three-dimensional thermodynamic model includes: One or more of general physics, fluid dynamics, plasmas, and semiconductors.

6. The method for controlling the feed rate of a heating furnace according to claim 5, characterized in that: The heat source of the heating furnace includes: One or more of electric heating, fuel gas radiation heating, microwave heating, plasma heating, laser heating and electron beam heating.

7. The method for controlling the feed rate of a heating furnace according to claim 6, characterized in that: The target temperature range includes: 400℃-600℃。 8. The method for controlling the feed rate of a heating furnace according to claim 7, characterized in that: The target temperature range includes: 500℃-550℃。 9. The method for controlling the feed rate of a heating furnace according to claim 6, characterized in that: When the heat source of the heating furnace is fuel gas radiation heating, solving the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model includes: S21, assuming that the current feed rate parameter of the heating furnace is v, and the tube length of the heating chamber is H h ; S22, taking the length L1-L2 of the pre-determination zone as a unit; and taking the heating furnace outlet as a starting point, logically dividing the heating chamber into logical area; S23, respectively generate matrix data sets Area[n] for each of the logic areas; wherein n is the serial number identifier of the matrix data set; the matrix data sets of each logic area are identified in order from the largest to the smallest starting from the heating furnace inlet, wherein the matrix data set of the pre-determination area is recorded as Area[0]; the matrix data set includes the unit information of each grid unit in the logic area, and the unit information includes spatial position data and temperature data; the maximum value of n is: The minimum value of n is: S24, assuming that Area[0] includes a grid cell i that exceeds the target temperature range; S25, determining whether the grid unit i is an over-temperature grid unit or an under-temperature grid unit; S26, if the grid unit i is an over-temperature grid unit, proceed to step S27; S27, searching for the grid cell i' corresponding to the spatial position of the grid cell i from Area[m]; the initial value of m is 1; S28. If the grid cell i' is an over-temperature grid cell, calculate and save the optional feed rate v corresponding to Area[m] m ;v m =L / (Lm(L2-L1))v; after setting m=m+1, return to step S27; the overtemperature is exceeding the upper limit of the target temperature range; where L is the distance from the grid unit i to the entrance of the heating furnace. S29. If there is no over-temperature grid in the grid unit i', generate a pre-selected value data set according to the saved optional feed rate.

10. The method for controlling the feed rate of a heating furnace according to claim 9, characterized in that: If the grid unit i is an under-temperature grid unit, it also includes: S31, constructing a virtual heating chamber connected to the heating chamber with the outlet of the heating furnace as the starting point; the length of the virtual heating chamber is equal to that of the heating chamber; S32, taking the length L1-L2 of the pre-determination zone as a unit; and taking the heating furnace outlet as a starting point, logically dividing the virtual heating chamber into Virtual logical area; S33, respectively generating matrix data sets of the virtual logic areas; the serial number identification of the matrix data sets of the virtual logic areas is set in a manner that is consistent with the sorting manner of the matrix data sets of the logic areas and continues with the minimum serial number identification of the matrix data sets of the logic areas; S34, searching for the grid cell i' corresponding to the spatial position of the grid cell i from Area[m]; the initial value of m is -1; S35. If the grid unit i' is an under-temperature grid unit, calculate and save the optional feed rate v corresponding to Area[m] m ;v m =L / (Lm(L2-L1))v; after setting m=m-1, return to step S34; the insufficient temperature is lower than the lower limit of the target temperature range; S36. If there is no under-temperature grid in the grid unit i', generate a pre-selected value data set according to the saved optional feed rate.

11. A feeding rate control device for a heating furnace, characterized in that: include: A modeling unit, used for generating a three-dimensional thermodynamic model of the heating furnace according to the modeling of the heating furnace and meshing the three-dimensional thermodynamic model; An input parameter determination unit, used to determine input parameters of the three-dimensional thermodynamic model; The input parameters include: geometric parameters, size parameters and heat source power parameters of the heating furnace, as well as physical property parameters and feed rate parameters of vacuum residue oil; A temperature distribution prediction unit, used for calculating the simulation result of the three-dimensional thermodynamic model after one time step according to the input parameters; the simulation result includes the predicted value of the temperature distribution in the heating furnace; A temperature judgment unit is used to judge whether a preset pre-judgment area includes grid cells exceeding a preset target temperature range according to the temperature distribution prediction value, and if so, transfer to a rate update unit; if not, transfer to a control instruction generation unit; the pre-judgment area is an interval of a preset size within the heating chamber at a preset distance from the heating furnace outlet; A rate updating unit, used to solve the pre-selected value data set of the feed rate parameter according to the three-dimensional thermodynamic model, and use the median of the pre-selected value data set as the updated feed rate parameter when returning to the temperature distribution prediction unit; the pre-selected value in the pre-selected value data set is a selectable value of the feed rate when there is no grid exceeding the target temperature range in the pre-determination area; The control instruction generating unit is used to generate a feed rate control instruction of the heating furnace according to the current feed rate parameter.

12. A feeding rate control device for a heating furnace, characterized in that: include: Memory for storing computer programs; A processor is used to call and execute the computer program to implement the steps of the feed rate control method of the heating furnace as described in any one of claims 1 to 10.

13. A storage medium, characterized in that: The method comprises a software program, wherein the software program is suitable for executing the steps of the feed rate control method for a heating furnace according to any one of claims 1 to 10 by a processor.

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