Control method and device of damping machine, electronic equipment and storage medium

Abstract

The invention discloses a control method and device of a damping machine, electronic equipment and a storage medium. The method comprises the following steps: determining a target influence factor of the moisture regaining machine based on a pre-constructed moisture regaining machine dynamic simulation model and a target set value, obtaining a real-time operation parameter of the moisture regaining machine, and adjusting the target influence factor according to the real-time operation parameter and the target set value, so that the real-time operation parameter of the moisture regaining machine reaches the target set value. The target influence factors are automatically adjusted according to real-time monitoring data, parameters such as the water adding amount and the hot air temperature are accurately controlled, the moisture and the temperature of outlet smoke are effectively controlled, and the precision and the stability are effectively improved. Human intervention in the production process is not needed, the labor intensity of operators is reduced, and the influence of human errors on the product quality is reduced. Parameters are allowed to change within a certain range based on control of the damping machine dynamic simulation model, a better control effect is achieved, meanwhile, the technological standard is not exceeded, the production process is more controllable, and the production efficiency and the product quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of tobacco processing, and in particular to a control method, device, electronic equipment and storage medium of a moisture conditioning machine. Background Art

[0002] In the tobacco processing, the rehumidifier plays a vital role. Freshly harvested tobacco leaves need to be properly rehumidified to bring their moisture content to an appropriate range for subsequent processing, such as shredding and rolling. If the tobacco leaves are too dry, they are easy to break during the shredding process. After being treated with the rehumidifier, the tobacco leaves become more flexible and can better ensure the quality of tobacco products.

[0003] On the one hand, the traditional control method relies on operators to manually control parameters such as the water addition coefficient and judge the moisture content by touching the tobacco leaves. This is labor-intensive and prone to human errors, resulting in low production efficiency due to frequent manual intervention. On the other hand, due to the uncertainty of manual operation and the inability to make accurate adjustments in real time, the moisture and temperature of the exported tobacco fluctuate greatly, affecting the stability of product quality. Summary of the invention

[0004] The present invention provides a control method, device, electronic equipment and storage medium for a moisture conditioning machine, so as to solve the problem that the traditional control method has low production efficiency and poor product quality stability due to frequent manual intervention.

[0005] According to one aspect of the present invention, a control method for a moisture conditioning machine is provided, comprising:

[0006] Determine the target influencing factor of the moisture conditioning machine based on the pre-built dynamic simulation model of the moisture conditioning machine and the target setting value;

[0007] Obtaining real-time operating parameters of the moisture conditioning machine;

[0008] The target influencing factor is adjusted according to the real-time operating parameter and the target setting value, so that the real-time operating parameter of the rehumidifying machine reaches the target setting value.

[0009] Optionally, the target setting values ​​include an outlet smoke moisture target setting value, an outlet smoke temperature target setting value, a water addition target setting value, and a hot air temperature target setting value;

[0010] Determining the target influencing factor of the dehumidifying machine under the current operating state based on the pre-built dynamic simulation model of the dehumidifying machine and the target setting value includes:

[0011] Based on the pre-built dynamic simulation model of the dehumidifier and the outlet smoke moisture target setting value, the outlet smoke temperature target setting value, the water addition target setting value and the hot air temperature target setting value, the cylinder speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure of the dehumidifier are determined.

[0012] Optionally, the obtaining of the real-time operating parameters of the moisture conditioning machine includes:

[0013] The outlet smoke moisture, outlet smoke temperature, cylinder rotation speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure of the dehumidifier are obtained.

[0014] Optionally, adjusting the target influencing factor according to the real-time operating parameter and the target setting value so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value includes:

[0015] Comparing the real-time operating parameter with the target setting value to obtain a comparison result;

[0016] The target influencing factor is adjusted according to the comparison result so that the real-time operating parameter of the rehumidifying machine reaches the target setting value.

[0017] Optionally, adjusting the target influencing factor according to the comparison result so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value includes:

[0018] When the outlet smoke moisture content is greater than the outlet smoke moisture target setting value, the steam flow rate, the steam water content and the nozzle atomization pressure are reduced so that the outlet smoke moisture content reaches the outlet smoke moisture target setting value.

[0019] Optionally, adjusting the target influencing factor according to the comparison result so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value further includes:

[0020] When the outlet smoke temperature is lower than the outlet smoke temperature target setting value, the heat exchanger frequency, the steam flow rate and the steam water content are increased so that the outlet smoke temperature reaches the outlet smoke temperature target setting value.

[0021] Optionally, before determining the target influencing factor of the moisture conditioning machine based on the pre-built dynamic simulation model of the moisture conditioning machine and the target setting value, the method further includes:

[0022] Obtain historical operating data of the rehumidifier under different working conditions;

[0023] A dynamic simulation model of the moisture recovery machine is generated based on the simulation algorithm according to the historical operation data.

[0024] According to another aspect of the present invention, a control device for a moisture conditioning machine is provided, comprising:

[0025] A determination module, the determination module is used to determine the target influencing factor of the moisture conditioning machine based on a pre-built dynamic simulation model of the moisture conditioning machine and a target setting value;

[0026] An acquisition module, the acquisition module is used to acquire real-time operating parameters of the moisture conditioning machine;

[0027] An adjustment module is used to adjust the target influencing factor according to the real-time operating parameter and the target setting value so that the real-time operating parameter of the rehumidifying machine reaches the target setting value.

[0028] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0029] at least one processor; and

[0030] a memory communicatively connected to the at least one processor; wherein,

[0031] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the control method of the rehumidifying machine described in any embodiment of the present invention.

[0032] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the control method of the moisture conditioning machine described in any embodiment of the present invention when executed by a processor.

[0033] The technical solution provided by the embodiment of the present invention determines the target influencing factor of the dehumidification machine based on the pre-built dynamic simulation model of the dehumidification machine and the target setting value, obtains the real-time operating parameters of the dehumidification machine, and adjusts the target influencing factor according to the real-time operating parameters and the target setting value, so that the real-time operating parameters of the dehumidification machine reach the target setting value. The technical solution provided by the embodiment of the present invention automatically adjusts the target influencing factor according to the real-time monitoring data, accurately controls parameters such as the amount of water added and the hot air temperature, realizes effective control of the moisture and temperature of the outlet smoke, adapts to production changes and improves accuracy and stability. No human intervention is required in the production process, the labor intensity of operators is reduced, and the impact of human errors on product quality is reduced. The control based on the pre-built dynamic simulation model of the dehumidification machine allows parameters to vary within a certain range, while obtaining better control effects without exceeding the process standards, making the production process more controllable and improving production efficiency and product quality.

[0034] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 A flow chart of a control method for a moisture conditioning machine provided by an embodiment of the present invention;

[0037] Figure 2 A flow chart of another control method of a moisture conditioning machine provided by an embodiment of the present invention;

[0038] Figure 3 A flow chart of a control method for a moisture conditioning machine provided by an embodiment of the present invention;

[0039] Figure 4 A schematic structural diagram of a control device for a moisture conditioning machine provided by an embodiment of the present invention;

[0040] Figure 5 A structural schematic diagram of an electronic device for a control method of a rehumidifying machine provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme 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 part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0042] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0043] Figure 1 This is a flow chart of a control method for a rehumidifier provided by an embodiment of the present invention. This embodiment can be applied to the situation where the moisture and temperature of the outlet smoke are controlled within a suitable range to meet the subsequent production and product quality requirements. The control method can be executed by a control device for the rehumidifier. The control device can be implemented in the form of hardware and / or software. The control device can be configured in any electronic device with communication function. Figure 1 , the control method comprises:

[0044] S110, determining a target influencing factor of the moisture conditioning machine based on a pre-built dynamic simulation model of the moisture conditioning machine and a target setting value.

[0045] Among them, the dynamic simulation model of the rehumidifier can be specifically understood as a model including the relationship function between the outlet smoke moisture and the material, and the outlet smoke moisture and the outlet smoke temperature. The dynamic simulation model of the rehumidifier can reflect the operating characteristics of the rehumidifier under different working conditions, and can also adjust parameters and optimize the accuracy and reliability of model simulation. The target setting value includes at least one of the following parameters: the outlet smoke moisture target setting value, the outlet smoke temperature target setting value, the water addition target setting value and the hot air temperature target setting value; the target setting value can be pre-set and flexibly adjusted according to different batches of materials and process requirements. The target influencing factor includes at least one of the following parameters: cylinder speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure.

[0046] Specifically, based on the pre-built dynamic simulation model of the rehumidifier and the target setting value, it is necessary to find out the factors that play a key role in whether the target setting value can be achieved, that is, the target influencing factors. For example, taking tobacco rehumidification as an example, if the target setting value is that the outlet tobacco moisture content reaches 12%, then by adjusting different parameters in the dynamic simulation model, such as the cylinder speed, steam flow rate, heat exchanger frequency, steam water content, nozzle atomization pressure and other parameters, the change of tobacco moisture content is observed. It is found that when the steam flow rate parameter is changed, the change of outlet tobacco moisture content is most obvious and can approach the target setting value of 12%, then the steam flow rate will be determined as a target influencing factor affecting the outlet tobacco moisture content to reach the target setting value. Similarly, for other target setting values, such as hot air temperature and other parameters, the parameters are repeatedly adjusted in the dynamic simulation model to analyze which parameter changes have the greatest impact on achieving the corresponding target setting value, so as to determine these target influencing factors. Once these target influencing factors are determined, they can be focused on and adjusted in the actual operation and control of the rehumidifier to ensure that the rehumidifier can operate as expected and meet the requirements of production and quality.

[0047] S120, obtaining real-time operating parameters of the moisture conditioning machine.

[0048] Among them, the real-time operating parameters include outlet smoke moisture, outlet smoke temperature, cylinder speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure.

[0049] Specifically, the outlet smoke temperature is collected through a temperature detector, the outlet smoke moisture and steam water content are collected through a TM710e moisture detector, the heat exchanger frequency is detected through the heat exchanger's own motor, the nozzle atomization pressure is collected through a pressure sensor, and the steam flow rate is collected through a flow meter.

[0050] S130, adjusting the target influencing factor according to the real-time operating parameters and the target setting value, so that the real-time operating parameters of the moisture conditioning machine reach the target setting value.

[0051] Specifically, when there is a difference between the real-time operating parameters and the target setting values, the target influencing factors need to be adjusted. Assuming that the real-time monitored outlet smoke moisture is 10%, which is lower than the lower limit of the target setting value of 11%, and the steam flow rate is previously determined to be the target influencing factor affecting the outlet smoke moisture, at this time, it is necessary to appropriately increase the value of the steam flow rate as the target influencing factor, such as from X cubic meters per hour to X+ΔX cubic meters per hour, and then continue to monitor the changes in the real-time operating parameters (export smoke moisture). Similarly, if the real-time monitored hot air temperature is 40°C, which is lower than the lower limit of the target setting value of 45°C, and the heat exchanger frequency is the target influencing factor affecting the hot air temperature, it is necessary to increase the heat exchanger frequency, such as from Y Hz to Y+ΔY Hz, and continue to observe the changes in real-time operating parameters such as hot air temperature, and by continuously adjusting the value of the target influencing factor until the real-time operating parameters reach the corresponding target setting values, it is ensured that the rehumidifier can operate normally as expected and produce products that meet quality requirements.

[0052] The technical solution provided by the embodiment of the present invention determines the target influencing factor of the dehumidification machine based on the pre-built dynamic simulation model of the dehumidification machine and the target setting value, obtains the real-time operating parameters of the dehumidification machine, and adjusts the target influencing factor according to the real-time operating parameters and the target setting value, so that the real-time operating parameters of the dehumidification machine reach the target setting value. The technical solution provided by the embodiment of the present invention automatically adjusts the target influencing factor according to the real-time monitoring data, accurately controls parameters such as the amount of water added and the hot air temperature, realizes effective control of the moisture and temperature of the outlet smoke, adapts to production changes and improves accuracy and stability. No human intervention is required in the production process, the labor intensity of operators is reduced, and the impact of human errors on product quality is reduced. The control based on the pre-built dynamic simulation model of the dehumidification machine allows parameters to vary within a certain range, while obtaining better control effects without exceeding the process standards, making the production process more controllable and improving production efficiency and product quality.

[0053] Figure 2 This is a flow chart of another control method of a moisture conditioning machine provided by an embodiment of the present invention. The embodiment of the present invention further refines the above embodiment on the basis of the above embodiment. Figure 2 , the control method comprises:

[0054] S210, based on the pre-built dynamic simulation model of the dehumidifier and the outlet smoke moisture target setting value, outlet smoke temperature target setting value, water addition target setting value and hot air temperature target setting value, determine the cylinder speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure of the dehumidifier.

[0055] Specifically, based on the pre-built dynamic simulation model of the rehumidifier and the target setting value of the outlet smoke moisture, the target setting value of the outlet smoke temperature, the target setting value of the water addition amount, and the target setting value of the hot air temperature, it is necessary to find out the factors that play a key role in whether the target setting value can be achieved, that is, the target influencing factors. For example, taking tobacco rehumidification as an example, if the target setting value is that the outlet smoke moisture reaches 12%, then by adjusting different parameters in the dynamic simulation model, such as the cylinder speed, steam flow rate, heat exchanger frequency, steam water content, nozzle atomization pressure and other parameters, observe the change of tobacco moisture content. It is found that when the steam flow rate parameter is changed, the change of the outlet smoke moisture is the most obvious and can approach the target setting value of 12%, then the steam flow rate will be determined as a target influencing factor that affects the outlet smoke moisture to reach the target setting value. Similarly, for other target setting values, such as hot air temperature and other parameters, these target influencing factors are determined by repeatedly adjusting each parameter in the dynamic simulation model and analyzing which parameter changes have the greatest impact on achieving the corresponding target setting value. Once these target influencing factors are determined, they can be focused on and adjusted in the actual operation and control of the rehumidifier to ensure that the rehumidifier can operate as expected and meet the requirements in production and quality.

[0056] S220, obtaining outlet smoke moisture, outlet smoke temperature, cylinder rotation speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure of the rehumidifier.

[0057] Specifically, the outlet smoke temperature is collected through the temperature detector, the outlet smoke moisture and steam water content are collected through the TM710e moisture detector, the heat exchanger frequency is detected through the heat exchanger's own motor, the nozzle atomization pressure is collected through the pressure sensor, and the steam flow rate is collected through the flow meter. In production, by real-time monitoring of the operating status of the rehumidifier and the outlet smoke quality parameters, the target setting values, such as the water addition target setting value and the hot air temperature target setting value, can be adjusted online to adapt to different production conditions and improve control efficiency and effect.

[0058] S230: Compare the real-time operating parameters with the target setting values ​​to obtain a comparison result.

[0059] Specifically, in actual production, the system collects the operating data of the rehumidifier and tobacco quality data in real time and feeds it back to the intelligent controller. The intelligent controller performs adaptive control based on the real-time data. For example, it automatically reduces the amount of water added when the moisture content of the outlet tobacco is high, and increases the hot air temperature when the temperature is low, to ensure that the product quality meets the process requirements.

[0060] S240, adjusting the target influencing factor according to the comparison result so that the real-time operating parameters of the moisture conditioning machine reach the target setting value.

[0061] Optionally, adjusting the target influencing factor according to the comparison result so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value includes:

[0062] When the outlet smoke moisture content is greater than the outlet smoke moisture target setting value, the steam flow rate, steam water content and nozzle atomization pressure are reduced so that the outlet smoke moisture content reaches the outlet smoke moisture target setting value.

[0063] Among them, steam flow rate, steam water content and nozzle atomization pressure can directly affect the amount of water added.

[0064] Optionally, adjusting the target influencing factor according to the comparison result so that the real-time operating parameters of the moisture conditioning machine reach the target setting value also includes:

[0065] When the outlet smoke temperature is lower than the outlet smoke temperature target setting value, the heat exchanger frequency, steam flow rate and steam water content are increased so that the outlet smoke temperature reaches the outlet smoke temperature target setting value.

[0066] Among them, heat exchanger frequency, steam flow rate and steam water content can directly affect the hot air temperature.

[0067] By way of example, the optimization of return air temperature is specifically described by taking temperature as an example.

[0068] The process requires the return air temperature (BT2) to be 60°C (58°C for some grades, 60°C is used as an example below).

[0069] Preheating stage (TIC1): The proportional-integral-derivative control (PID) of the process air temperature during preheating controls the opening of the heat exchanger damper IP7, and the BT2 target value is 60+4°C (4°C is the preheating offset). The opening of IP7 is 0-100%.

[0070] Production stage (TIC10): The "process air temperature during operation" PID controls the opening of the heat exchanger damper IP7, and the BT2 target value is 60℃.

[0071] During preheating, PID only adjusts the IP7 opening according to the set value and actual value of BT2. When the actual value of BT2 is greater than the set value, the IP7 opening gradually decreases until the lower limit of PID output is 0.

[0072] Before feeding, the IP7 opening had reached the lower limit of 0, but the first batch of BT1 and BT2 were 86℃ and 65℃ respectively, and the second batch of BT1 and BT2 were 93℃ and 70℃ respectively. After feeding began, the BT2 of the first batch dropped to 56℃, and the BT2 of the second batch was still 64℃. The temperature of BT1 and BT2 was unstable at the beginning of feeding, resulting in a large standard deviation SD value of BT2.

[0073] The first phase goal: stabilize the BT1 and BT2 temperatures before feeding. By exporting data for a total of 5 months from October 2023 to February 2024 (sampling time 10s), 100 sets of data with relatively stable BT1, BT2, and BT3 before feeding (SD values ​​within 300s are not greater than 1, 0.5, and 0.5) were taken for analysis, and the formula was obtained: BT1 = 1.4515 × BT2-12.972, that is, when the BT2 target is 64°C, the BT1 target should be 79.9°C. Use the deviation T between the actual value and the target value of BT1 to adjust the IP7 opening to a certain extent, and select the appropriate preheating return air temperature offset to quickly drop the return air temperature (BT2) after feeding to 60°C-61°C.

[0074] The technical solution provided by the embodiment of the present invention has a significantly reduced standard deviation compared with the traditional control method. The standard deviation of the moisture content of the outlet smoke under traditional manual control is relatively large, such as the standard deviation of 2022-12-28 is 0.59. After being controlled by the intelligent control method provided by the embodiment of the present invention, the standard deviation is significantly reduced, such as the standard deviation of 2023-02-15 is 0.46, and the standard deviation of 2023-03-8 is 0.24, so that the moisture content of the outlet smoke can be more stably controlled. In addition, the fluctuation range is reduced: the fluctuation range of the moisture content of the outlet smoke under traditional manual control is wide. When the set value is 18.5%, the fluctuation range is 17.28%-20.26%. After being controlled by the intelligent control method provided by the embodiment of the present invention, the fluctuation range is significantly reduced, which effectively improves the consistency of product quality.

[0075] Figure 3 This is a flow chart of another control method of a rehumidifying machine provided by an embodiment of the present invention. The embodiment of the present invention further refines the above embodiments on the basis of the above embodiments. Figure 3 , the control method comprises:

[0076] S310, obtaining historical operation data of the moisture conditioning machine under different working conditions.

[0077] Specifically, a large amount of historical operating data, such as rehumidifier operating parameters, outlet smoke quality data, etc., is collected through step tests, and the historical operating data is imported into the simulation software, and the data recognition technology is used to generate a dynamic simulation model of the rehumidifier.

[0078] S320, generating a dynamic simulation model of the moisture recovery machine based on the simulation algorithm according to the historical operation data.

[0079] S330, determining a target influencing factor of the rehumidification machine based on a pre-built dynamic simulation model of the rehumidification machine and a target setting value.

[0080] S340, obtaining real-time operating parameters of the moisture conditioning machine.

[0081] S350, adjusting the target influencing factor according to the real-time operating parameters and the target setting values, so that the real-time operating parameters of the moisture conditioning machine reach the target setting values.

[0082] Figure 4 A schematic diagram of a control device for a moisture conditioning machine according to an embodiment of the present invention is shown in FIG. Figure 4 The control device includes: a determination module 410, an acquisition module 420 and an adjustment module 430.

[0083] The determination module 410 is used to determine the target influencing factor of the moisture conditioning machine based on the pre-built dynamic simulation model of the moisture conditioning machine and the target setting value.

[0084] The acquisition module 420 is used to obtain the real-time operating parameters of the moisture conditioning machine.

[0085] The adjustment module 430 is used to adjust the target influencing factor according to the real-time operating parameters and the target setting value, so that the real-time operating parameters of the moisture conditioning machine reach the target setting value.

[0086] A control device for a dehumidifying machine provided in an embodiment of the present invention can execute a control method for a dehumidifying machine provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0087] Figure 5 A schematic diagram of the structure of an electronic device for a control method of a rehumidifier provided by an embodiment of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0088] like Figure 5As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0089] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0090] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a control method for a moisture conditioning machine.

[0091] In some embodiments, a control method of a rehumidifier may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the control method of a rehumidifier described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute a control method of a rehumidifier in any other appropriate manner (e.g., by means of firmware).

[0092] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0093] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0094] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0095] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0096] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0097] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0098] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0099] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A control method for a moisture conditioning machine, characterized in that: include: Determine the target influencing factor of the rehumidification machine based on the pre-built dynamic simulation model of the rehumidification machine and the target setting value; Obtaining real-time operating parameters of the moisture conditioning machine; The target influencing factor is adjusted according to the real-time operating parameter and the target setting value, so that the real-time operating parameter of the rehumidifying machine reaches the target setting value.

2. The control method according to claim 1, characterized in that: The target setting values ​​include an outlet smoke moisture target setting value, an outlet smoke temperature target setting value, a water addition target setting value and a hot air temperature target setting value; Determining the target influencing factor of the dehumidifying machine under the current operating state based on the pre-built dynamic simulation model of the dehumidifying machine and the target setting value includes: Based on the pre-built dynamic simulation model of the dehumidifier and the outlet smoke moisture target setting value, the outlet smoke temperature target setting value, the water addition target setting value and the hot air temperature target setting value, the cylinder speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure of the dehumidifier are determined.

3. The control method according to claim 1, characterized in that: The step of obtaining the real-time operating parameters of the moisture conditioning machine includes: The outlet smoke moisture, outlet smoke temperature, cylinder rotation speed, steam flow rate, heat exchanger frequency, steam water content and nozzle atomization pressure of the dehumidifier are obtained.

4. The control method according to claim 3, characterized in that: The step of adjusting the target influencing factor according to the real-time operating parameter and the target setting value so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value comprises: Comparing the real-time operating parameter with the target setting value to obtain a comparison result; The target influencing factor is adjusted according to the comparison result so that the real-time operating parameter of the rehumidifying machine reaches the target setting value.

5. The control method according to claim 4, characterized in that: The step of adjusting the target influencing factor according to the comparison result so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value includes: When the outlet smoke moisture content is greater than the outlet smoke moisture target setting value, the steam flow rate, the steam water content and the nozzle atomization pressure are reduced so that the outlet smoke moisture content reaches the outlet smoke moisture target setting value.

6. The control method according to claim 5, characterized in that: The step of adjusting the target influencing factor according to the comparison result so that the real-time operating parameter of the moisture conditioning machine reaches the target setting value further includes: When the outlet smoke temperature is lower than the outlet smoke temperature target setting value, the heat exchanger frequency, the steam flow rate and the steam water content are increased so that the outlet smoke temperature reaches the outlet smoke temperature target setting value.

7. The control method according to claim 1, characterized in that: Before determining the target influencing factor of the rehumidifier based on the pre-built dynamic simulation model of the rehumidifier and the target setting value, the method further includes: Obtain historical operating data of the rehumidifier under different working conditions; A dynamic simulation model of the moisture recovery machine is generated based on the simulation algorithm according to the historical operation data.

8. A control device for a moisture conditioning machine, characterized in that: include: A determination module, the determination module is used to determine the target influencing factor of the moisture conditioning machine based on a pre-built dynamic simulation model of the moisture conditioning machine and a target setting value; An acquisition module, the acquisition module is used to acquire real-time operating parameters of the moisture conditioning machine; An adjustment module is used to adjust the target influencing factor according to the real-time operating parameter and the target setting value so that the real-time operating parameter of the rehumidifying machine reaches the target setting value.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the control method of the rehumidifying machine according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the control method of the rehumidification machine according to any one of claims 1 to 7 when executed.

Images