An automatic controller and energy analysis method for an intelligent heat pump baking room

Abstract

The present invention proposes an automatic controller and energy analysis method for an intelligent heat pump curing room, comprising the following steps: controlling the heating, heat preservation and ventilation of the curing room by an automatic controller; inspecting the quality of tobacco leaves obtained after curing; uploading parameter data of the heating, heat preservation and ventilation of the curing room by the automatic controller to a cloud server by using a remote monitoring system; acquiring the parameter data in the cloud server, and formulating parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance in combination with the quality of the tobacco leaves after curing; and feeding back the optimized parameters to the automatic controller, so that the heating, heat preservation and ventilation provided by the automatic controller to the curing room can achieve efficient energy utilization, reduce costs, reduce pollution, ensure the quality of tobacco leaf curing, and increase the economic benefits of tobacco farmers.

Description

Technical Field

[0001] The invention relates to the technical field of tobacco leaf processing energy optimization, and in particular to an automatic controller and an energy analysis method for an intelligent heat pump drying room. Background Art

[0002] Tobacco leaf baking is a process that consumes a lot of heat. The coal consumption for baking 1kg of dry tobacco leaf is generally 1.5-2.0kg, and the heat energy utilization rate is only about 30%. The energy waste is very alarming, and it is difficult to quickly find out how to control the energy output to ensure the quality of tobacco leaves without causing energy waste. The baking process in the flue-cured tobacco production process has a large labor load, high energy consumption, and high technical requirements, which seriously restricts the sustainable development of flue-cured tobacco production. Therefore, there is an urgent need for a solution that can improve the heat energy utilization rate of tobacco leaf baking, reduce costs, reduce pollution, ensure the quality of tobacco leaf baking, and increase the economic benefits of tobacco farmers. Summary of the invention

[0003] The purpose of the present invention is to improve the deficiencies in the prior art and provide an automatic controller and energy analysis method for an intelligent heat pump drying room to improve the thermal energy utilization rate of tobacco leaf baking, reduce costs, reduce pollution, ensure the quality of tobacco leaf baking, and increase the economic benefits of tobacco farmers.

[0004] In order to achieve the above-mentioned object of the invention, the embodiment of the present invention provides the following technical solutions:

[0005] An automatic controller for an intelligent heat pump baking room, comprising a PID controller, a heating energy module, a temperature and humidity control module, and a fan control module, wherein the heating energy module, the temperature and humidity control module, and the fan control module are respectively controlled by the PID controller;

[0006] The heating energy module is used to set the heating power and heating rate to provide a thermally balanced heating energy for the baking room;

[0007] The temperature and humidity control module is used to recycle the dehumidified waste hot air, evaporate the dehumidified waste hot air through the heat pump, and increase the temperature and humidity of the evaporation area in the baking room;

[0008] The fan control module is used to control the fan opening and wind speed to maintain the temperature and humidity balance in the baking room.

[0009] This solution uses PID controller for the thermal energy module, temperature and humidity control module, and fan control module to provide heating, insulation, and ventilation for the curing room, to provide thermally balanced heating energy, to increase the temperature and humidity in the evaporation area of ​​the curing room, and to maintain the temperature and humidity balance in the curing room, thereby obtaining cured tobacco leaves.

[0010] Furthermore, the heating energy module includes a heat pump power equalizer and a heating energy detector. The heat pump power equalizer is controlled by a PID controller to adjust the heating power and heating rate of the baking room. The heating energy detector collects the thermal energy of the baking room and feeds back the thermal energy data in the baking room to the PID controller, which serves as the basis for the PID controller to control the heat pump power equalizer to adjust the heating power and heating rate.

[0011] Furthermore, the temperature and humidity control module includes an air heat pump evaporator and a temperature and humidity detector. The air heat pump evaporator is controlled by a PID controller to evaporate the dehumidified waste hot air of the baking room through a heat pump, thereby increasing the temperature and humidity of the evaporation area in the baking room. The temperature and humidity detector collects the temperature and humidity in the baking room, and feeds back the temperature and humidity data in the baking room to the PID controller, which serves as a basis for the PID controller to control the air heat pump evaporator to adjust the evaporation efficiency of the heat pump.

[0012] Furthermore, the fan control module includes a fan dynamic controller and a wind force and speed detector. The fan dynamic controller is controlled by the PID controller to adjust the opening and wind speed of the fan to maintain the temperature and humidity balance in the baking room. The wind force and speed detector collects the wind force data and temperature and humidity data in the baking room, and feeds back the wind force data and temperature and humidity data in the baking room to the PID controller, which serves as the basis for the PID controller to control the fan dynamic controller to adjust the fan opening and wind speed.

[0013] This solution uses a PID controller to control the heat pump power balancer, air heat pump evaporator, and fan dynamic controller to provide heating, insulation, and ventilation for the baking room. It also uses a heating energy detector, a temperature and humidity detector, and a wind speed and wind speed detector to detect the heat energy, temperature and humidity, and wind speed data in the baking room to determine whether the actual collected data corresponds to the set parameters so that adjustments can be made.

[0014] An intelligent heat pump baking room is provided with an automatic controller, and the baking room is made of a low-thermal-conductivity foaming heat-insulating polymer material or a polymer-inorganic composite material.

[0015] The low thermal conductivity foam insulation polymer material used in this solution adopts foamed polyurethane double-sided color steel insulation board to achieve good insulation effect, and the baking room is composed of overall splicing, which can be disassembled and moved for easy transportation and use.

[0016] An energy analysis method for an intelligent heat pump baking room comprises the following steps:

[0017] Step S1: Controlling the heating, insulation and ventilation of the baking room through an automatic controller;

[0018] Step S2: inspecting the quality of the tobacco leaves obtained after baking;

[0019] Step S3: Use the remote monitoring system to upload the parameter data of heating, insulation and ventilation of the baking room by the automation controller to the cloud server;

[0020] Step S4: Obtain parameter data in the cloud server, and formulate parameters that can achieve the maximum time-power thermal and the most effective thermal balance in combination with the quality of the tobacco leaves after baking;

[0021] Step S5: Feedback the optimized parameters to the automatic controller, so that the heating, heat preservation and ventilation provided by the automatic controller to the curing room can achieve efficient energy utilization and obtain high-quality tobacco leaves.

[0022] When adopting this solution, the common parameters of the automation controller can be set to provide heating, insulation, and ventilation for the curing room, and the quality of the tobacco leaves obtained can be examined. Then, the parameter data of the automation controller in the cloud server can be obtained and analyzed in combination with the quality of the tobacco leaves to formulate parameters that can achieve the maximum time-power thermal and the most effective thermal balance. Finally, the optimized parameters are fed back to the automation controller, thereby improving the thermal energy utilization rate of tobacco leaf baking, reducing costs, and alleviating pollution while ensuring the quality of tobacco leaf baking.

[0023] Furthermore, the step of controlling the heating, insulation and ventilation of the baking room by the automatic controller includes:

[0024] Use the heat pump power balancer to set the heating power and heating rate of the oven. By obtaining the heat energy in the oven collected by the heating energy detector, determine whether the heat energy supply is stable and whether it is the heat energy corresponding to the heating power and heating rate set by the heat pump power balancer, so as to ensure the balanced output of the provided heat energy;

[0025] Use an air heat pump evaporator to heat pump evaporate the dehumidified waste hot air in the curing room, increase the temperature and humidity of the evaporation area in the curing room, obtain the temperature and humidity in the curing room collected by the temperature and humidity detector, and judge whether it is the temperature and humidity required for curing tobacco leaves, so as to ensure continuous heat preservation in the curing room;

[0026] Use the fan dynamic controller to control the fan opening and wind speed, obtain the wind speed and wind data in the baking room, and determine whether the fan opening and wind speed can maintain the required temperature and humidity in the baking room, so as to maintain the temperature and humidity balance in the baking room.

[0027] Furthermore, the step of using the remote monitoring system to upload the parameter data of the heating, insulation and ventilation of the baking room by the automation controller to the cloud server includes:

[0028] The heating power and heating rate parameters set by the heat pump power balancer, the evaporation temperature parameters of the dehumidified waste heat air set by the air heat pump evaporator, and the fan opening and wind speed parameters set by the fan dynamic controller are uploaded to the cloud server.

[0029] Furthermore, the step of obtaining parameter data in the cloud server and formulating parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance in combination with the quality of the tobacco leaves after baking includes:

[0030] The heating power and heating rate parameters, the evaporation temperature parameters of the dehumidified waste heat air, the fan opening and wind speed parameters are obtained from the cloud server. Combined with the quality of tobacco leaves baked under these parameters, the parameters are optimized to develop parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance, thereby maximizing energy utilization efficiency while obtaining high-quality tobacco leaves.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] (1) The automatic controller used in the present invention controls the heat pump power balancer, air heat pump evaporator, and fan dynamic controller through a PID controller to provide heating, insulation, and ventilation for the baking room, and uses a heating energy detector, a temperature and humidity detector, and a wind speed and wind speed detector to respectively detect the heat energy, temperature and humidity, and wind speed data in the baking room to determine whether the actually collected data corresponds to the set parameters so as to make adjustments.

[0033] (2) The baking room used in the present invention is made of low thermal conductivity foamed thermal insulation polymer material, and the low thermal conductivity foamed thermal insulation polymer material adopts foamed polyurethane double-sided color steel insulation board to achieve good thermal insulation effect, and the baking room is composed of an integral splicing structure, which can be disassembled and moved, and is convenient to carry and use.

[0034] (3) The present invention provides heating, insulation and ventilation for the drying room by setting the common parameters of the automatic controller, examines the quality of the tobacco leaves obtained, and then obtains the parameter data of the automatic controller in the cloud server, analyzes it in combination with the quality of the tobacco leaves, and formulates parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance. Finally, the optimized parameters are fed back to the automatic controller, thereby improving the thermal energy utilization rate of tobacco leaf baking, reducing costs and alleviating pollution while ensuring the quality of tobacco leaf baking. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 This is a block diagram of the automatic controller system module of the present invention;

[0037] Figure 2 The figure is a working flow chart of the energy analysis method of the present invention. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents the selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0039] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0040] Example:

[0041] The present invention is achieved through the following technical solutions: Figure 1 As shown, an automatic controller for an intelligent heat pump baking room includes a PID controller, a heating energy module, a temperature and humidity control module, and a fan control module. The heating energy module, the temperature and humidity control module, and the fan control module are controlled by the PID controller respectively, wherein:

[0042] The heating energy module is used to set the heating power and heating rate to provide thermally balanced heating energy for the baking room; the temperature and humidity control module is used to recover the dehumidified waste hot air, and after the dehumidified waste hot air is evaporated by a heat pump, the temperature and humidity of the evaporation area in the baking room are increased; the fan control module is used to control the fan opening and wind speed to maintain the temperature and humidity balance in the baking room.

[0043] In detail, the heating energy module includes a heat pump power balancer and a heating energy detector. The heat pump power balancer is controlled by a PID controller to adjust the heating power and heating rate of the baking room. The heating energy detector is used to collect the thermal energy of the baking room, and the thermal energy data in the baking room is fed back to the PID controller to determine whether the thermal energy data in the baking room at this time corresponds to the heating power and heating rate set by the heat pump power balancer, to ensure that the thermal energy in the baking room is transported according to the parameters set by the heat pump power balancer. If not, it is necessary to re-control the heat pump power balancer to adjust the heating power and heating rate.

[0044] The temperature and humidity control module includes an air heat pump evaporator and a temperature and humidity detector. The air heat pump evaporator is controlled by a PID controller to increase the temperature and humidity of the evaporation area in the baking room after the dehumidified waste heat air of the baking room is evaporated by the heat pump. The temperature and humidity in the baking room are collected by the temperature and humidity detector, and the temperature and humidity data in the baking room are fed back to the PID controller to determine whether the temperature and humidity in the baking room at this time are the temperature and humidity required for baking tobacco leaves, so as to ensure the temperature and humidity in the baking room are stable. The dehumidified waste heat air is used to increase the temperature and humidity in the baking room after evaporation, and the dehumidified waste heat air is recycled to improve energy utilization efficiency.

[0045] The fan control module includes a fan dynamic controller and a wind force and wind speed detector. The fan dynamic controller is controlled by the PID controller to adjust the opening and wind speed of the fan to maintain the temperature and humidity balance in the baking room. The wind force and wind speed detector is used to collect the wind force data and temperature and humidity data in the baking room, and the wind force data and temperature and humidity data in the baking room are fed back to the PID controller. If the opening and wind speed of the fan affect the stable temperature and humidity in the baking room, it is necessary to re-control the fan dynamic controller to adjust the fan opening and wind speed to maintain the temperature and humidity balance in the baking room.

[0046] This automatic controller controls the heat pump power balancer, air heat pump evaporator and fan dynamic controller through the PID controller to provide heating, insulation and ventilation for the baking room, and uses the heating energy detector, temperature and humidity detector, wind speed detector to detect the heat energy, temperature and humidity, and wind speed data in the baking room respectively to determine whether the actual collected data corresponds to the set parameters so as to make adjustments.

[0047] The present invention also proposes an intelligent heat pump baking room, in which an automatic controller is provided, and the baking room is made of low thermal conductivity foamed thermal insulation polymer material or polymer inorganic composite material, with high thermal insulation coefficient and low heat energy loss. The low thermal conductivity foamed thermal insulation polymer material adopts a foamed polyurethane double-sided color steel insulation board, and the closed-cell rate of the foamed polyurethane is strictly controlled to be higher than 90%, and the thermal conductivity of the material is lower than 0.025W / m2.K, so as to achieve a good thermal insulation effect. A concave-convex bite joint docking structure is designed at the joint of the insulation board to achieve a convenient near "airtight" seal. In addition, the baking room is composed of an integral splicing structure, which can be disassembled and moved for easy transportation and use.

[0048] The present invention also proposes an energy analysis method for an intelligent heat pump baking room, such as Figure 2 As shown, the following steps are included:

[0049] Step S1: Control the heating, insulation and ventilation of the baking room through an automatic controller.

[0050] Use the heat pump power balancer to set the heating power and heating rate of the oven. By obtaining the heat energy in the oven collected by the heating energy detector, determine whether the heat energy supply is stable and whether it is the heat energy corresponding to the heating power and heating rate set by the heat pump power balancer, so as to ensure the balanced output of the provided heat energy;

[0051] Use an air heat pump evaporator to heat pump evaporate the dehumidified waste hot air in the curing room, increase the temperature and humidity of the evaporation area in the curing room, obtain the temperature and humidity in the curing room collected by the temperature and humidity detector, and judge whether it is the temperature and humidity required for curing tobacco leaves, so as to ensure continuous heat preservation in the curing room;

[0052] Use the fan dynamic controller to control the fan opening and wind speed, obtain the wind speed and wind data in the baking room, and determine whether the fan opening and wind speed can maintain the required temperature and humidity in the baking room, so as to maintain the temperature and humidity balance in the baking room.

[0053] Step S2: inspecting the quality of the tobacco leaves obtained after baking.

[0054] The quality inspection of tobacco leaves needs to be carried out according to the existing tobacco leaf standards. The present invention does not explain the tobacco leaf standards, and the tobacco leaf standards are not within the scope of protection of the present invention. Those skilled in the art are already familiar with them.

[0055] Step S3: Use the remote monitoring system to upload the parameter data of heating, insulation and ventilation of the baking room by the automation controller to the cloud server.

[0056] The heating power and heating rate parameters set by the heat pump power balancer, the evaporation temperature parameters of the dehumidified waste heat air set by the air heat pump evaporator, and the fan opening and wind speed parameters set by the fan dynamic controller are uploaded to the cloud server.

[0057] Step S4: Obtain parameter data from the cloud server, and formulate parameters that can achieve the maximum time-power thermal and the most effective thermal balance in combination with the quality of the tobacco leaves after baking.

[0058] The heating power and heating rate parameters, the evaporation temperature parameters of the dehumidified waste heat air, the fan opening and wind speed parameters are obtained from the cloud server. Combined with the quality of tobacco leaves baked under these parameters, the parameters are optimized to develop parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance, thereby maximizing energy utilization efficiency while obtaining high-quality tobacco leaves.

[0059] Step S5: Feedback the optimized parameters to the automatic controller, so that the heating, heat preservation and ventilation provided by the automatic controller to the curing room can achieve efficient energy utilization and obtain high-quality tobacco leaves.

[0060] By analyzing the parameters of the automatic controller and the quality of tobacco leaves, the optimized parameters are obtained, and the tobacco leaves are baked using the optimized parameters to continuously improve the efficient use of energy.

[0061] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An automatic controller for an intelligent heat pump baking room, characterized in that: It includes a PID controller, a heating energy module, a temperature and humidity control module, and a fan control module, wherein the heating energy module, the temperature and humidity control module, and the fan control module are respectively controlled by the PID controller; The heating energy module is used to set the heating power and heating rate to provide a thermally balanced heating energy for the baking room; The temperature and humidity control module is used to recycle the dehumidified waste hot air, evaporate the dehumidified waste hot air through the heat pump, and increase the temperature and humidity of the evaporation area in the baking room; The fan control module is used to control the fan opening and wind speed to maintain the temperature and humidity balance in the baking room; The heating energy module includes a heat pump power balancer and a heating energy detector. The heat pump power balancer is controlled by a PID controller to adjust the heating power and heating rate of the baking room. The heating energy detector collects the heat energy of the baking room and feeds back the heat energy data in the baking room to the PID controller, which serves as the basis for the PID controller to control the heat pump power balancer to adjust the heating power and heating rate. The temperature and humidity control module includes an air heat pump evaporator and a temperature and humidity detector; The fan control module includes a fan dynamic controller and a wind force and speed detector; The air heat pump evaporator is controlled by the PID controller to increase the temperature and humidity of the evaporation area in the baking room after the dehumidified waste hot air of the baking room is evaporated by the heat pump. The temperature and humidity detector collects the temperature and humidity in the baking room and feeds back the temperature and humidity data in the baking room to the PID controller as the basis for the PID controller to control the air heat pump evaporator to adjust the evaporation efficiency of the heat pump. The fan dynamic controller is controlled by the PID controller to adjust the fan opening and wind speed to maintain the temperature and humidity balance in the baking room. The wind force and wind speed detector collects the wind force data and temperature and humidity data in the baking room, and feeds back the wind force data and temperature and humidity data in the baking room to the PID controller, which serves as the basis for the PID controller to control the fan dynamic controller to adjust the fan opening and wind speed.

2. An intelligent heat pump baking room, characterized by: The baking room is provided with the automatic controller as claimed in claim 1, and the baking room is made of low thermal conductivity foaming heat-insulating polymer material.

3. An energy analysis method for an intelligent heat pump baking room, used to implement an automatic controller for an intelligent heat pump baking room according to claim 1, characterized in that: The following steps are involved: Step S1: Controlling the heating, insulation and ventilation of the baking room through an automatic controller; Step S2: inspecting the quality of the tobacco leaves obtained after baking; Step S3: Use the remote monitoring system to upload the parameter data of heating, insulation and ventilation of the baking room by the automation controller to the cloud server; Step S4: Obtain parameter data in the cloud server, and formulate parameters that can achieve the maximum time-power thermal and the most effective thermal balance in combination with the quality of the tobacco leaves after baking; Step S5: Feedback the optimized parameters to the automatic controller, so that the heating, heat preservation and ventilation provided by the automatic controller to the curing room can achieve efficient energy utilization and obtain high-quality tobacco leaves.

4. The energy analysis method for an intelligent heat pump baking room according to claim 3 is characterized in that: The step of controlling the heating, insulation and ventilation of the baking room by the automatic controller comprises: Use the heat pump power balancer to set the heating power and heating rate of the oven. By obtaining the heat energy in the oven collected by the heating energy detector, determine whether the heat energy supply is stable and whether it is the heat energy corresponding to the heating power and heating rate set by the heat pump power balancer, so as to ensure the balanced output of the provided heat energy; Use an air heat pump evaporator to heat pump evaporate the dehumidified waste hot air in the curing room, increase the temperature and humidity of the evaporation area in the curing room, obtain the temperature and humidity in the curing room collected by the temperature and humidity detector, and judge whether it is the temperature and humidity required for curing tobacco leaves, so as to ensure continuous heat preservation in the curing room; Use the fan dynamic controller to control the fan opening and wind speed, obtain the wind speed and wind data in the baking room, and determine whether the fan opening and wind speed can maintain the required temperature and humidity in the baking room, so as to maintain the temperature and humidity balance in the baking room.

5. The energy analysis method for an intelligent heat pump baking room according to claim 4 is characterized in that: The step of using the remote monitoring system to upload the parameter data of heating, insulation and ventilation of the baking room by the automation controller to the cloud server includes: The heating power and heating rate parameters set by the heat pump power balancer, the evaporation temperature parameters of the dehumidified waste heat air set by the air heat pump evaporator, and the fan opening and wind speed parameters set by the fan dynamic controller are uploaded to the cloud server.

6. The energy analysis method for an intelligent heat pump baking room according to claim 5 is characterized in that: The step of obtaining parameter data in the cloud server and formulating parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance in combination with the quality of the tobacco leaves after baking includes: The heating power and heating rate parameters, the evaporation temperature parameters of the dehumidified waste heat air, the fan opening and wind speed parameters are obtained from the cloud server. Combined with the quality of tobacco leaves baked under these parameters, the parameters are optimized to develop parameters that can achieve the maximum time-power thermal engineering and the most effective thermal engineering balance, thereby maximizing energy utilization efficiency while obtaining high-quality tobacco leaves.

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