An intelligent tobacco barn temperature control system

Abstract

This application provides an intelligent baking room temperature control system, which relates to the field of electronic information technology and includes a sealed baking room, a temperature sensor and an intelligent baking oven disposed within the baking room, a network transmission module connecting the intelligent baking oven and the temperature sensor, a data processing platform, and a terminal control device. The intelligent baking oven includes a fuel tank, a fuel feed controller, and a computing, processing, and control module. This application uses the data processing platform to receive instructions from a control terminal or automatically adjust the baking oven parameters (t, a) according to a preset strategy, thereby reducing the labor required to adjust the parameters to varying degrees and improving the efficiency of parameter adjustment.

Description

Technical Field

[0001] The present application relates to the field of electronic information technology, and in particular to an intelligent baking room temperature control system. Background Art

[0002] Tobacco leaf curing is a crucial component of the tobacco production process, and oven control is crucial for ensuring that the curing barn temperature meets curing requirements. Currently, most ovens operate in a semi-automated mode. Simply by regularly replenishing the fuel silo with sufficient fuel, the feed process automatically begins. This automated process is controlled by two parameters: the feed amount a and the time interval t between feeds.

[0003] In general, different parameters (t, a) need to be set, including the oven parameters when maintaining the oven temperature and the oven parameter adjustment when raising or lowering the oven temperature to a certain temperature. At the same time, the different qualities of the fuel determine the different heat released by the fuel combustion. Different feed specifications need to be set for different fuels, that is, different parameters (t, a) need to be set.

[0004] At present, this adjustment is mainly the responsibility of experienced baking technicians, and may need to be adjusted multiple times according to the fuel combustion conditions. This process is not only manpower-intensive, but also experienced baking technicians are few in number, their technical levels vary greatly, and mistakes or even errors may occur. Summary of the Invention

[0005] The present application provides an intelligent baking room temperature control system to solve or partially solve the problems raised in the above background technology.

[0006] The present application provides an intelligent baking room temperature control system, comprising a sealed baking room, a temperature sensor and an intelligent baking oven arranged in the baking room, a network transmission module connecting the intelligent baking oven and the temperature sensor, a data processing platform, and a terminal control device. The intelligent baking oven includes a fuel bin, a fuel feed controller, and a computing and control module, and is characterized by having the following functions:

[0007] (1) The data processing platform sets the initial parameters of the feeding time interval and the feeding amount of each time of the intelligent oven to (t, a) = (t0, a0), corresponding to the temperature maintenance parameters when the baking room temperature is the preset first temperature d1, and the fuel feeding controller adds a fixed amount of fuel a = a0 into the furnace at every time t = t0;

[0008] (2) The network transmission module sends the baking room information to the data processing platform and receives network control instructions from the data processing platform;

[0009] (3) The calculation processing and control module is used to upload the configuration parameters of the intelligent oven, the baking room temperature information, i.e., the baking room information, and update the parameters (t, a) according to the received network control instructions;

[0010] (4) The user modifies the parameters (t, a) of the smart oven through the terminal control device, or the data processing platform, computing processing and control module automatically adjusts the parameters (t, a) according to a preset strategy.

[0011] Preferably, when the oven temperature needs to be increased by D degrees within a time T, the system performs the following steps:

[0012] (1) The data processing platform performs the following processing:

[0013] ①Calculate the total energy E required to raise the temperature of the baking room to D;

[0014] ②Calculate the total amount of fuel W required to generate energy E;

[0015] ③Calculate the feed lift w=W*t0 / T / g, where g is the energy conversion rate;

[0016] ④ Calculate the intelligent oven parameters (t, a) = (t1, a1) corresponding to the target temperature d2 = d1 + D maintained in the oven room;

[0017] ⑤ Send (w, t1, a1) to the calculation processing and control module of the smart oven;

[0018] (2) When the intelligent oven calculation processing and control module receives the parameters (w, t1, a1), it executes the following steps:

[0019] ① Update the parameter a=a0 of the smart oven to a=a0+w;

[0020] ② After time T, the intelligent oven calculation processing and control module updates the parameters of the intelligent oven to (t, a) = (t1, a1).

[0021] Preferably, the calculation processing and control module of the intelligent oven pre-sets temperature maintenance parameters (t, a) corresponding to different oven room temperatures d;

[0022] Accordingly, the data processing platform does not need to calculate and transmit the smart oven parameters (t, a) = (t1, a1). After time T has passed, the calculation, processing and control module searches for the temperature maintenance parameters (t1, a1) according to the updated baking room target temperature d2, and then controls the smart oven with the updated parameters.

[0023] Preferably, the method comprises the following steps:

[0024] (1) When the data processing platform detects that the oven temperature reaches the predetermined target temperature d2=d1+D, d2 is sent to the calculation processing and control module of the intelligent oven;

[0025] (2) The calculation processing and control module of the intelligent oven updates the intelligent oven parameter (t, a) to the temperature maintenance parameter (t, a) = (t1, a1) corresponding to the oven room temperature d2;

[0026] (3) The data processing platform calculates the time T1 required for the baking room to heat up to d2, and updates the energy conversion rate g=g*T / T1.

[0027] Preferably, the method comprises the following steps:

[0028] (1) Divide the time T into k equal parts, that is, T=kt d , whenever time t d , the system enters a new parameter adjustment time node, and the data processing platform performs the following steps:

[0029] ①Calculate the expected value d of the oven temperature at the last parameter adjustment time node exp1 and the expected temperature of the baking room at the current time node d exp2 ;

[0030] ② Detect the current temperature d2 of the baking room and calculate

[0031] q=(d2-d exp1 ) / (d exp2 -d exp1 );

[0032] ③If q=1, keep the value of (t, a) unchanged; if q≠1, calculate a'=a0+(a-a0) / q,

[0033] If a'≤a max , then a' is sent to the calculation processing and control module of the oven, and the calculation processing and control module updates the value of a to a' and keeps the value of t unchanged;

[0034] If a'>a max , then calculate t'=t*a max / a', and sends (t', a') to the calculation processing and control module of the oven, and the calculation processing and control module updates (t, a) to (t', a max ), where a max The maximum single feeding amount of the smart oven;

[0035] When a' exceeds a max and t reaches or is less than t minWhen the calculation processing and control module updates (t, a) to (t min , a max ), where t min The minimum time interval for feeding.

[0036] Preferably, the data processing platform is provided with energy consumption tables corresponding to different fuel materials, including fuel material codes, energy-to-fuel ratio E / W, energy conversion rate g, and smart oven parameters (t, a) corresponding to maintaining different baking room temperatures.

[0037] Preferably, the temperature adjustment range of the baking room is automatically controlled by the data processing platform according to a preset baking process curve.

[0038] Compared with the prior art, this application has the following beneficial effects:

[0039] This application receives instructions from the control terminal through the data processing platform or the data processing platform automatically adjusts the oven parameters (t, a) according to the preset strategy, which saves the manpower consumption of adjusting the parameters to varying degrees and improves the efficiency of parameter adjustment. This application uses the temperature sensor in the baking room to timely grasp the temperature conditions of the baking room and the working status of the oven, accurately adjusts the oven feeding parameters, and controls the heat generated by the combustion of the oven, which can achieve the expected effect of adjusting the temperature of the baking room. This application divides the temperature adjustment time into segments, and adjusts the oven parameters (t, a) in each segment according to the actual adjusted temperature value, thereby improving the effect of parameter adjustment and the probability of achieving the target temperature at the target time. Description of the drawings

[0040] The present application is further described below with reference to the accompanying drawings and examples.

[0041] Figure 1 This is a schematic diagram of the intelligent oven of this application.

[0042] Figure 2 This is a schematic diagram of the system composition of this application. DETAILED DESCRIPTION

[0043] To make the purpose, technical solutions, and advantages of this specification more clear, the technical solution of this application is described below through a specific embodiment. Obviously, the described embodiment is only a part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0044] Several embodiments of the present invention are given below. Those skilled in the art should understand that these embodiments do not limit the technical method of the present invention.

[0045] Example 1

[0046] like Figure 1 and Figure 2 As shown, the present application provides an intelligent baking room temperature control system, including a closed baking room, a temperature sensor and an intelligent oven arranged in the baking room, a network transmission module connecting the intelligent oven and the temperature sensor, a data processing platform, and a terminal control device. The intelligent oven includes a fuel bin, a fuel feed controller, and a computing and control module. Each module has the following functions:

[0047] (1) The data processing platform sets the initial parameters of the feeding time interval and the feeding amount of each time of the intelligent oven to (t, a) = (t0, a0), corresponding to the temperature maintenance parameters when the baking room temperature is the preset first temperature d1, and the fuel feeding controller adds a fixed amount of fuel a = a0 into the furnace at every time t = t0;

[0048] (2) The network transmission module sends the baking room information to the data processing platform and receives network control instructions from the data processing platform;

[0049] (3) The calculation processing and control module is used to upload the configuration parameters of the intelligent oven, the baking room temperature information, i.e., the baking room information, and update the parameters (t, a) according to the received network control instructions;

[0050] (4) The user modifies the parameters (t, a) of the smart oven through the terminal control device, or the data processing platform, computing processing and control module automatically adjusts the parameters (t, a) according to a preset strategy.

[0051] Regarding the intelligent baking room temperature control system of this application, it is obvious that the intelligent baking oven is a key component, such as Figure 1 As shown, the smart oven also includes a hot air outlet temperature sensor and a furnace blower. The furnace blower helps the fuel to burn fully in the furnace. The hot air outlet temperature sensor is used to detect the temperature at the hot air outlet of the smart oven to determine whether the fuel in the furnace is burned out, so as to control the speed of the blower.

[0052] Specifically, the method by which the data processing platform, computing processing, and control module automatically adjust the parameters (t, a) using a preset strategy is as follows:

[0053] When the oven temperature needs to be raised by D degrees within a time T, the system performs the following steps:

[0054] (1) The data processing platform performs the following processing:

[0055] ① Calculate the total energy E required to increase the temperature of the baking room to D. This calculation can be obtained based on the recorded historical data;

[0056] ②Calculate the total amount of fuel W required to generate energy E. This value is related to the type of fuel;

[0057] ③Calculate the feed lift w=W*t0 / T / g, where g is the energy conversion rate. The energy conversion rate g is an estimated parameter that is not only related to the type of fuel, but also to factors such as the size and age of the smart oven, and the degree of airtightness of the baking room;

[0058] ④ Calculate the smart oven parameters (t, a) = (t1, a1) corresponding to the target temperature d2 = d1 + D. In other words, to maintain the oven temperature at d2, the smart oven needs to be fueled once every t1, with a fuel feed amount of a1 each time.

[0059] ⑤ Send (w, t1, a1) to the calculation processing and control module of the smart oven;

[0060] (2) When the intelligent oven calculation processing and control module receives the parameters (w, t1, a1), it executes the following steps:

[0061] ① Update the smart oven's parameter a=a0 to a=a0+w. That is, the amount of fuel used each time is increased from the current a0 to a0+w. This only considers the temperature maintenance phase after heating. If cooling is required, simply maintain the smart oven at the minimum feed rate and use a furnace blower.

[0062] ② After time T, the intelligent oven calculation processing and control module updates the parameters of the intelligent oven to (t, a) = (t1, a1). At this time, the baking room should reach the expected temperature and maintain this temperature until the next stage sends a control instruction to modify the baking mode and change the baking room environment.

[0063] Preferably, the calculation processing and control module of the intelligent oven pre-sets the temperature maintenance parameters (t, a) corresponding to different baking room temperatures d. Accordingly, the data processing platform does not need to calculate and transmit the intelligent oven parameters (t, a) = (t1, a1). After time T, the calculation processing and control module searches for the temperature maintenance parameters (t1, a1) according to the updated baking room target temperature d2, and then controls the intelligent oven with the updated parameters.

[0064] Furthermore, the intelligent baking room temperature control system described above can be switched from the temperature changing stage to the temperature maintaining stage, which includes the following steps:

[0065] (1) When the data processing platform detects that the oven temperature reaches the predetermined target temperature d2=d1+w, d2 is sent to the calculation processing and control module of the intelligent oven;

[0066] (2) The calculation processing and control module of the intelligent oven updates the intelligent oven parameter (t, a) to the temperature maintenance parameter (t, a) = (t1, a1) corresponding to the oven room temperature d2;

[0067] (3) The data processing platform calculates the time T1 required for the baking room to heat up to d2, and updates the energy conversion rate g=g*T / T1.

[0068] Furthermore, the intelligent oven temperature control system described above can continuously adjust and optimize the parameters of the intelligent oven during the temperature change phase to make the oven temperature change closer to the expected value, including the following steps:

[0069] (1) Divide the time T into k equal parts, that is, T=kt d , whenever time t d , the system enters a new parameter adjustment time node, and the data processing platform performs the following steps:

[0070] ①Calculate the expected value d of the oven temperature at the last parameter adjustment time node exp1 and the expected temperature of the baking room at the current time node d exp2 ;

[0071] ② Detect the current temperature of the baking room d2, calculate q=(d2-d exp1 ) / (d exp2 -d exp1 );

[0072] ③If q=1, keep the value of (t, a) unchanged; if q≠1, calculate a'=a0+(a-a0) / q, if a'≤a max , then a' is sent to the calculation processing and control module of the oven to update the value of a;

[0073] If a'>a max , then calculate t'=t*a max / a', and send (t', a') to the calculation processing and control module of the oven to update the parameters (t, a), a max The maximum single feeding amount of the smart oven;

[0074] (2) After the data processing platform detects that the oven temperature reaches the predetermined target temperature d2=d1+D / k, it sends d2 to the calculation processing and control module of the intelligent oven;

[0075] (3) The calculation processing and control module of the intelligent oven updates the intelligent oven parameter (t, a) to the temperature maintenance parameter (t, a) = (t1, a1) corresponding to the oven room temperature d2.

[0076] Furthermore, when a+w exceeds the maximum single feeding amount a of the intelligent oven, max When (t, a) = (t*a max / (a+w), a max ) to handle the situation where the expected feed amount exceeds the limit value.

[0077] Furthermore, when a+w exceeds a max and t reaches or is less than t min When, according to the parameter (t min , a max )Execute, t min It is the minimum feed interval value.

[0078] Preferably, the data processing platform is provided with energy consumption tables corresponding to different fuel materials, including fuel material codes, energy-to-fuel ratio E / W, energy conversion rate g, and smart oven parameters (t, a) corresponding to maintaining different baking room temperatures.

[0079] Preferably, in the intelligent baking room temperature control system as described above, when the baking room temperature cannot reach the preset temperature on time under the set parameters, a feedback iteration algorithm can be used to optimize and update the intelligent baking oven parameters.

[0080] Preferably, the baking room is provided with a plurality of intelligent baking ovens, each burning a different fuel. The data processing platform distributes the target temperature increase value to the different intelligent baking ovens in proportion according to the capabilities of the different intelligent baking ovens.

[0081] For example, if oven 1 is three times the size of oven 2, the capacity of the two ovens is equivalent to that of four ovens 1. When the temperature increase target for the baking room is D degrees, 0.25D of the heating task is assigned to oven 1, and 0.75D of the heating task is assigned to oven 2.

[0082] Preferably, the temperature adjustment range of the baking room is automatically controlled by the data processing platform according to a preset baking process curve.

[0083] Example 2

[0084] Based on Example 1, this example illustrates the technical solution of the present application with examples of specific scenarios.

[0085] Suppose there is a smart baking room. When the smart oven burns at the minimum scale, it can maintain the room temperature of d1 = 30 degrees in the baking room. That is, a0 is the minimum single feeding amount, and t0 = 30 seconds (0.5 minutes) is the standard time interval between two feedings.

[0086] After the tobacco leaves are loaded and the flue-curing room is closed, the temperature of the flue-curing room needs to be raised to 60 degrees within 2 hours and then maintained for a period of time.

[0087] Based on these requirements, the data processing platform calculates the total energy E required to raise the baking room to D=60-30=30 degrees, calculates the total amount of fuel required W (kg) based on the fuel type, and calculates the feed lifting amount for each time w=W*t0 / T / g, where t0=0.5 and T=120 (minutes), assuming an energy conversion rate of g=0.8 (the higher the temperature, the lower the conversion rate due to heat diffusion).

[0088] If a0+w does not exceed the maximum single feeding amount, w will be sent to the smart oven.

[0089] After receiving the command, the smart oven operates with the parameters (t0, a1), where a1=a0+w. After this operating mode lasts for T=120 minutes, the data processing platform sends the smart oven parameters (t1, a1) to maintain the baking room temperature at 60 degrees to the smart oven. The smart oven then operates with the parameters (t1, a1), entering a new temperature maintenance mode.

[0090] Under normal circumstances, the time interval between two feedings generally remains unchanged, that is, t1=t0. However, in special cases, such as when rapid heating is required, t1 <t0。

[0091] It should be noted that if the baking room needs to be cooled, the smart oven parameters can be directly adjusted to the parameters corresponding to the baking room temperature after cooling, and the specific cooling process can be completed through other means, such as opening windows, ventilation, etc.

[0092] Example 3

[0093] Based on Examples 1 and 2, this example illustrates the technical solution of the present application using specific scenarios as examples.

[0094] As in Example 2, if the temperature of the baking room is increased by 30 degrees within T=120 minutes, the average increase is 30 / 120=0.25 degrees per minute. The time T=120 minutes is divided into k=30 parts, and the average temperature per t is d =T / k=4 minutes, the average expected temperature increase in the oven is d2=d1+D / k=d1+30 / 30=d1+1 degrees, that is, every 4 minutes, the oven temperature is expected to increase by 1 degree. However, the actual detection increased by 0.8 degrees, that is, d'2= d1+0.8 degrees. Therefore, q=(d'2-d1) / (d2-d1)=0.8. Calculate a'=a0+(a-a0) / q and send a' to the oven to update the oven's operating parameters. Since q=0.8<1, it means that the previous feed amount was insufficient and the feed amount needs to be increased. Assume that in the next time period t d= 4 minutes later, the oven temperature has increased by 1.1 degrees. Therefore, q = (d'2 - d1) / (d2 - d1) = 1.1. Similarly, a' = a0 + (a - a0) / q is calculated and sent to the oven to update the operating parameters. Since q = 1.1 > 1, this means that the feed rate was too high and needs to be reduced. Thus, after k adjustments, the time required to raise the oven temperature by D degrees is very close to T = 120 minutes.

Claims

1. An intelligent baking room temperature control system, comprising a closed baking room, a temperature sensor and an intelligent baking oven arranged in the baking room, a network transmission module connecting the intelligent baking oven and the temperature sensor, a data processing platform, and a terminal control device. The intelligent baking oven includes a fuel bin, a fuel feed controller, and a computing and control module, characterized in that: It has the following functions: (1) The data processing platform sets the initial parameters of the feeding time interval and the feeding amount of each time of the intelligent oven to (t, a) = (t0, a0), corresponding to the temperature maintenance parameters when the baking room temperature is the preset first temperature d1, and the fuel feeding controller adds a fixed amount of fuel a = a0 into the furnace at every time t = t0; (2) The network transmission module sends the baking room information to the data processing platform and receives network control instructions from the data processing platform; (3) The calculation processing and control module is used to upload the configuration parameters of the intelligent oven, the baking room temperature information, i.e., the baking room information, and update the parameters (t, a) according to the received network control instructions; (4) The data processing platform, computing processing and control module automatically adjust the parameters (t, a) according to the preset strategy; The method by which the data processing platform, computing processing and control module automatically adjust the parameters (t, a) using a preset strategy is as follows: When the oven temperature needs to be raised by D degrees within a time T, the system performs the following steps: (1) The data processing platform performs the following processing: ①Calculate the total energy E required to raise the temperature in the baking room to D; ②Calculate the total amount of fuel W required to generate energy E; ③Calculate the feed lift w=W*t0 / T / g, where g is the energy conversion rate; ④ Calculate the intelligent oven parameters (t, a) = (t1, a1) corresponding to the target temperature d2 = d1 + D maintained in the oven room; ⑤ Send (w, t1, a1) to the calculation processing and control module of the smart oven; (2) When the intelligent oven calculation processing and control module receives the parameters (w, t1, a1), it executes the following steps: ① Update the parameter a=a0 of the smart oven to a=a0+w; ② After time T, the intelligent oven calculation processing and control module updates the parameters of the intelligent oven to (t, a) = (t1, a1); The intelligent oven temperature control system can continuously adjust and optimize the parameters of the intelligent oven during the temperature change stage to make the oven temperature change closer to the expected level. The process includes the following steps: (1) Divide the time T into k equal parts, that is, T=kt d , whenever time t d , the system enters a new parameter adjustment time node, and the data processing platform performs the following steps: ①Calculate the expected value d of the oven temperature at the last parameter adjustment time node exp1 and the expected temperature of the baking room at the current time node d exp2 ; ② Detect the current temperature d2 of the baking room and calculate q=(d2-d exp1 ) / (d exp2 -d exp1 ); ③If q=1, then keep the value of (t, a) unchanged; If q≠1, calculate a'=a0+(a-a0) / q, If a'≤a max , then a' is sent to the calculation processing and control module of the oven, and the calculation processing and control module updates the value of a to a' and keeps the value of t unchanged; If a'>a max , then calculate t'=t*a max / a', and sends (t', a') to the calculation processing and control module of the oven, and the calculation processing and control module updates (t, a) to (t', a max ), where a max It is the maximum single feeding amount of the smart oven.

2. The intelligent baking room temperature control system according to claim 1, characterized in that: The calculation processing and control module of the intelligent oven pre-sets the temperature maintenance parameters (t, a) corresponding to different oven room temperatures d; Accordingly, the data processing platform does not need to calculate and transmit the smart oven parameters (t, a) = (t1, a1). After time T has passed, the calculation, processing and control module searches for the temperature maintenance parameters (t1, a1) according to the updated baking room target temperature d2, and then controls the smart oven with the updated parameters.

3. The intelligent baking room temperature control system according to claim 1 or claim 2, characterized in that: The intelligent baking room temperature control system can switch from the temperature change stage to the temperature maintenance stage, including the following steps: (1) When the data processing platform detects that the oven temperature reaches the predetermined target temperature d2=d1+D, d2 is sent to the calculation processing and control module of the intelligent oven; (2) The calculation processing and control module of the intelligent oven updates the intelligent oven parameter (t, a) to the temperature maintenance parameter (t, a) = (t1, a1) corresponding to the oven room temperature d2; (3) The data processing platform calculates the time T1 required for the baking room to heat up to d2, and updates the energy conversion rate g=g*T / T1.

4. The intelligent baking room temperature control system according to claim 1 or claim 2, characterized in that: When a' exceeds a max and t reaches or is less than t min When the calculation processing and control module updates (t, a) to (t min ,a max ), where t min The minimum time interval for feeding.

5. The intelligent baking room temperature control system according to claim 1, characterized in that: The data processing platform is equipped with energy consumption tables corresponding to different fuel materials, including fuel material codes, energy-to-fuel ratio E / W, energy conversion rate g, and smart oven parameters (t, a) corresponding to maintaining different baking room temperatures.

6. The intelligent baking room temperature control system according to claim 1, characterized in that: The temperature adjustment range of the baking room is automatically controlled by the data processing platform according to a preset baking process curve.

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