Multi-parameter coordinated temperature control method and related equipment

Abstract

The invention discloses a multi-parameter coordinated temperature control method and related equipment. The method comprises the following steps: acquiring historical parameter information of a drying system; analyzing the historical parameter information to obtain an influence rule among multiple parameters of the drying system; real-time operation parameters of the drying system are obtained, and a multi-parameter coordination control strategy of the drying system is determined based on the real-time operation parameters and the influence rule; and controlling the drying system based on the multi-parameter coordination control strategy so as to control the temperature of the drying system. The problems that an existing material drying device is basically in a pure manual control state, the complexity of the drying process is increased due to manual control, the control difficulty is high, and the drying efficiency is low are solved.

Description

Background Art

[0002] In order to improve the quality and stability of materials, protect materials from microbial invasion, and extend the service life, it is necessary to remove moisture from the materials and dry them. In the prior art, material drying devices are often used to perform drying processes on materials. However, the material drying devices in the entire industry are currently basically in a purely manual control state, and manual control will increase the complexity of the drying process, resulting in great control difficulty and low drying efficiency. Summary of the invention

[0003] In order to overcome the problem that the existing material drying device is basically in a purely manual control state, and manual control will increase the complexity of the drying process, resulting in great control difficulty and low drying efficiency, the present application provides a multi-parameter coordinated temperature control method and related equipment. The related equipment includes a multi-parameter coordinated temperature control system, a computing device and a computer-readable storage medium.

[0004] In the first aspect, in order to solve the above technical problems, the present application provides a multi-parameter coordinated temperature control method, comprising:

[0005] Obtain historical parameter information of the drying system;

[0006] Analyze historical parameter information to obtain the influence rules among multiple parameters of the drying system;

[0007] Obtain the real-time operating parameters of the drying system, and determine the multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and influencing rules;

[0008] The drying system is controlled based on a multi-parameter coordinated control strategy to control the temperature of the drying system.

[0009] In a second aspect, the present application also provides a multi-parameter coordinated temperature control system, comprising:

[0010] An acquisition module is used to obtain historical parameter information of the drying system;

[0011] Analysis module, used to analyze historical parameter information and obtain the influence rules among multiple parameters of the drying system;

[0012] A determination module is used to obtain the real-time operating parameters of the drying system, and determine the multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and influencing rules;

[0013] The control module is used to control the drying system based on a multi-parameter coordinated control strategy to control the temperature of the drying system.

[0014] In a third aspect, the present application also provides a computing device, including a memory, a processor, and a program stored in the memory and running on the processor, and when the processor executes the program, the steps of a multi-parameter coordinated temperature control method as described above are implemented.

[0015] In a fourth aspect, the present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a terminal device, the terminal device executes the steps of a multi-parameter coordinated temperature control method.

[0016] The beneficial effects of the present application are: by analyzing the historical parameter information of the drying system, the influence rules between the multiple parameters of the drying system are obtained, and the multi-parameter coordination control strategy is determined based on the real-time operating parameters and the influence rules of the drying system. The drying system is controlled based on the multi-parameter coordination control strategy to control the temperature of the drying system, which can realize automatic regulation of the temperature of the drying system and reduce the control difficulty. At the same time, the automated control method can reduce the complexity of the drying process and improve the drying efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic flow chart of a multi-parameter coordinated temperature control method according to an exemplary embodiment of the present application;

[0018] Figure 2 This is a flow chart of a temperature control method using multi-parameter coordination in an exemplary embodiment of the present application;

[0019] Figure 3 The schematic diagram of the structure of a multi-parameter coordinated temperature control system is shown as an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0020] The following examples are provided to further explain and supplement the present application and do not constitute any limitation to the present application.

[0021] The following describes a multi-parameter coordinated temperature control method and related equipment according to an embodiment of the present application in conjunction with the accompanying drawings. The related equipment includes a multi-parameter coordinated temperature control system, a computing device, and a computer-readable storage medium.

[0022] A multi-parameter coordinated temperature control method is disclosed in an embodiment of the present application. The method is applied to a terminal device. In the present application scheme, the terminal device or server is used as the execution subject to illustrate the present application scheme. The terminal device or server is used to execute the steps of a multi-parameter coordinated temperature control method.

[0023] See also Figure 1 , Figure 1 A multi-parameter coordinated temperature control method is shown as an exemplary embodiment of the present application. Figure 1 As shown, the present application provides a multi-parameter coordinated temperature control method, comprising:

[0024] Step S11, obtaining historical parameter information of the drying system;

[0025] Step S12, analyzing the historical parameter information to obtain the influence rules among multiple parameters of the drying system;

[0026] Step S13, obtaining real-time operating parameters of the drying system, and determining a multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and influencing rules;

[0027] Step S14, controlling the drying system based on the multi-parameter coordinated control strategy to control the temperature of the drying system.

[0028] A multi-parameter coordinated temperature control method of this embodiment analyzes the historical parameter information of the drying system to obtain the influence rules between the multiple parameters of the drying system, and determines the multi-parameter coordinated control strategy based on the real-time operating parameters and influence rules of the drying system. Based on the multi-parameter coordinated control strategy, the drying system is controlled to control the temperature of the drying system, which can realize automatic regulation of the temperature of the drying system and reduce the control difficulty. At the same time, the automated control method can reduce the complexity of the drying process and improve the drying efficiency.

[0029] Optionally, the historical parameter information includes multiple types of parameters in the historical drying process; the historical parameter information is analyzed to obtain the influence rules between the multiple parameters of the drying system, including:

[0030] For each type of parameter, the parameter variation curve is drawn according to the chronological order of the historical drying process;

[0031] Based on the multiple change curves, determining a regular curve corresponding to each change curve;

[0032] The variation law between the variation curve and the regular curve is obtained as the influence law between the multiple types of parameters corresponding to the variation curve and the regular curve. The variation law includes the same variation trend and the opposite variation trend.

[0033] In this embodiment, multiple change curves corresponding to multiple types of parameters are drawn in chronological order of the historical drying process, and based on the multiple change curves, the regular curve corresponding to each change curve is determined, and the change law between the change curve and the regular curve is used as the influence law between the change curve and the multiple types of parameters corresponding to the regular curve. In this way, since the influence laws corresponding to different types of parameters are different, this embodiment determines the influence laws between multiple parameters corresponding to different types of parameters, so that the influence laws of different types of parameters can be taken into account when the temperature of the drying system is subsequently controlled, reducing the coupling influence of various parameters in the drying system, thereby improving the temperature control accuracy of the drying system.

[0034] In this embodiment, the multiple types of parameters include historical hot air temperature, historical drying tower bed temperature, historical air flow pipe temperature, historical drying tower humidity, historical air flow pipe steam pressure and historical air temperature regulating valve opening, etc.

[0035] Optionally, based on a plurality of change curves, determining a regular curve corresponding to each change curve includes:

[0036] For each change curve, determining a first curve having the same change trend as the change curve from among the multiple change curves;

[0037] Determine a second curve having an opposite change trend to the change curve;

[0038] Based on the first curve and the second curve, a regular curve corresponding to the change curve is formed.

[0039] In this embodiment, since each change curve has a certain change trend, a first curve with the same change trend as a change curve and a second curve with an opposite change trend can be directly determined according to the change trends of the multiple change curves, forming a regular curve corresponding to the change curve, so as to facilitate the subsequent acquisition of the influence rules between the corresponding multiple types of parameters based on the change curve and the corresponding regular curve, so that the influence rules of different types of parameters can be taken into account when the temperature of the drying system is subsequently controlled, thereby reducing the coupling influence of various parameters in the drying system.

[0040] Optionally, based on the real-time operating parameters and influencing rules, a multi-parameter coordinated control strategy of the drying system is determined, including:

[0041] Based on the influencing rules, a table lookup is performed to obtain the corresponding optimization rules;

[0042] Optimize the real-time operating parameters based on the optimization rules to obtain the optimized operating parameters;

[0043] Based on the real-time operating parameters and optimized operating parameters, a multi-parameter coordinated control strategy for the drying system is obtained.

[0044] In this embodiment, by presetting the optimization law corresponding to the influencing law, and storing the corresponding relationship between the influencing law and the optimization law in a preset table, after determining the influencing law, it is possible to directly look up the table to obtain the optimization law corresponding to the influencing law, thereby speeding up the speed of obtaining the optimization law. Then, based on the optimization law, the real-time operating parameters are optimized according to the optimization law to obtain the optimized operating parameters, and the multi-parameter coordinated control strategy of the drying system is obtained based on the real-time operating parameters and the optimized operating parameters. In this way, the determination of the multi-parameter coordinated control strategy takes into account the influencing law between multiple parameters, and multi-parameter coordinated control can be performed in the subsequent temperature control of the drying system, thereby reducing the influence of the coupling between multiple parameters on the temperature control, and improving the temperature control accuracy of the drying system. Among them, the optimization law is the law of obtaining the optimized operating parameters by multiplying the real-time operating parameters by the matching optimization rate.

[0045] Optionally, based on the real-time operating parameters and the optimized operating parameters, a multi-parameter coordinated control strategy of the drying system is obtained, including:

[0046] Determine the optimized control parameters based on the real-time operating parameters and the optimized operating parameters;

[0047] The strategy of regulating according to the optimized control parameters is used as the multi-parameter coordinated control strategy of the drying system.

[0048] In this embodiment, based on the real-time operating parameters and the optimized operating parameters, it can be understood that if the drying system changes from the real-time operating parameters to the control amount required by the optimized operating parameters within the set time, the corresponding optimized control parameters can be directly determined based on the control amount, and the strategy of regulating according to the optimized control parameters is used as the multi-parameter coordinated control strategy of the drying system, so as to accurately coordinate and control the drying system based on the multi-parameter coordinated control strategy, so that the temperature of the drying system can meet the current target temperature requirements, and realize accurate regulation of the drying system. Among them, the optimized control parameter is the parameter control amount required for the drying system to change from the real-time operating parameters to the optimized operating parameters within the set time.

[0049] In this embodiment, the real-time operating parameters include the real-time drying tower bed temperature, real-time airflow pipe temperature, real-time drying tower humidity, and real-time airflow pipe steam pressure of the drying system; the optimized operating parameters include the optimized drying tower bed temperature, optimized airflow pipe temperature, optimized drying tower humidity, and optimized airflow pipe steam pressure of the drying system; the optimized control parameters include the optimized hot air temperature and the optimized air temperature regulating valve opening. The optimized hot air temperature is used to adjust the drying tower bed temperature, drying tower humidity, and airflow pipe temperature of the drying system to control the temperature of the drying system to dry the object to be dried, so that the drying tower humidity corresponding to the humidity of the object to be dried can be gradually reduced until the humidity of the object to be dried meets the drying requirements. The optimized air temperature regulating valve opening is used to adjust the drying tower bed temperature, airflow pipe temperature, and airflow pipe steam pressure of the drying system to improve the temperature stability and internal pressure safety of the drying system. Among them, the airflow pipe temperature includes the airflow pipe bottom temperature, the real-time airflow pipe hot air temperature, and the airflow pipe steam pressure.

[0050] In an exemplary embodiment, the optimized drying tower bed temperature is 55°C, and the real-time drying tower bed temperature is 50°C. Then the heat required for the drying tower bed temperature of the drying system to rise from 50°C to 55°C is calculated, and then the optimized hot air temperature corresponding to the heat injected within 1 minute is calculated to be a°C when the setting time is 1 minute (generally, the wind speed is fixed, so the heat corresponding to the same hot air temperature per unit time is fixed, so it is only necessary to adjust the hot air temperature). The corresponding optimization control parameter is to optimize the hot air temperature to be a°C, maintain the adjustment time for 1 minute, and dynamically adjust the hot air temperature according to the heat loss of the drying system after 1 minute, so as to keep the heat brought by the hot air balanced with the loss. This realizes the precise drying control of the polymerization drying system at each control node, so as to increase the probability that each batch of objects to be dried can meet the drying standards after drying, and reduce the situation of unqualified drying.

[0051] Optionally, the multi-parameter coordinated control strategy includes a hot air temperature control strategy and an air temperature regulating valve opening control strategy; controlling the drying system based on the multi-parameter coordinated control strategy to control the temperature of the drying system includes:

[0052] Based on the influencing rules, a table lookup is performed to obtain the corresponding optimization rules;

[0053] Based on the optimization rules, the real-time operating parameters are optimized to obtain the optimized operating parameters, which include optimizing the drying tower bed temperature and optimizing the airflow pipe temperature;

[0054] Based on the hot air temperature control strategy and the air temperature regulating valve opening control strategy, the hot air temperature and the air temperature regulating valve opening of the drying system are regulated to make the drying tower bed temperature of the drying system reach the optimized drying tower bed temperature, and the air flow pipe temperature of the drying system reach the optimized air flow pipe temperature.

[0055] In this embodiment, by presetting the optimization law corresponding to the influence law, and storing the corresponding relationship between the influence law and the optimization law in a preset table, after determining the influence law, the table can be directly looked up to obtain the optimization law corresponding to the influence law, which speeds up the speed of obtaining the optimization law. Then, based on the optimization law, the real-time operating parameters are optimized according to the optimization law to obtain the optimized operating parameters including the optimized drying tower bed temperature and the optimized air flow pipe temperature, and the hot air temperature control strategy and the air temperature regulating valve opening control strategy in the multi-parameter coordinated control strategy are used to control the hot air temperature and the air temperature regulating valve opening of the drying system, so that the drying tower bed temperature of the drying system reaches the optimized drying tower bed temperature, and the air flow pipe temperature of the drying system reaches the optimized air flow pipe temperature. In this way, the multi-parameter coordinated control strategy takes into account the influence law between multiple parameters, so that when the drying system is controlled based on the multi-parameter coordinated control strategy, the coordinated control of multiple parameters is realized, thereby reducing the influence of the coupling between multiple parameters on the temperature control, realizing the dynamic and targeted regulation of various temperatures of the drying system, and improving the temperature control accuracy of the drying system.

[0056] In this embodiment, when the drying system is controlled according to the optimized control parameters, the bed temperature of the drying tower must always be less than or equal to the bed temperature setting value, the airflow pipe temperature must always be less than or equal to the airflow pipe setting temperature, and the airflow pipe steam pressure must be within a pressure range to keep the internal pressure of the drying system within a safe range, which can improve the temperature safety and internal pressure safety of the drying system.

[0057] Optionally, the method further comprises:

[0058] Obtain the real-time steam pressure of the airflow pipe of the drying system and the historical steam pressure of the airflow pipe at the last moment;

[0059] Based on the historical gas flow pipe steam pressure and the real-time gas flow pipe steam pressure, the pressure disturbance amount is obtained;

[0060] When the pressure disturbance is within a preset range, the air temperature regulating valve of the drying system is closed so that the temperature stability of the drying system meets the preset requirements.

[0061] In this embodiment, by calculating the pressure disturbance per unit time corresponding to the real-time steam pressure of the airflow pipe of the drying system and the historical steam pressure of the airflow pipe at the previous moment, the fluctuation of the steam pressure of the airflow pipe of the drying system can be understood. Because the opening of the air temperature regulating valve will be adjusted frequently with the frequent changes of the pressure disturbance under normal circumstances, the temperature of the drying system is lost unnecessarily, which makes the temperature inside the drying system fluctuate greatly, affecting the stability of the overall load of the drying system and the drying effect of the object to be dried. The method of this embodiment closes the air temperature regulating valve of the drying system only when the pressure disturbance is within the preset range, and adjusts the opening of the air temperature regulating valve when it is not within the preset range. It can not only make the interior of the drying tower always within the safe air pressure range, thereby avoiding overpressure damage to the drying system, but also avoid unnecessary loss of temperature of the drying system, thereby avoiding large temperature fluctuations at the bottom of the drying tower caused by real-time adjustment of the air temperature regulating valve based on pressure, and further improve the stability and safety of the overall load of the drying system.

[0062] The pressure disturbance is obtained by subtracting the historical airflow pipe steam pressure from the real-time airflow pipe steam pressure.

[0063] See also Figure 2 , Figure 2 In an exemplary embodiment of the present application, a flow chart of a temperature control method using multi-parameter coordination is provided, as shown in FIG. Figure 2 As shown, the drying system includes a drying tower, an airflow pipe and an air temperature regulating valve. First, the attribute parameters of the object to be dried that needs to be dried by the drying system are set, that is, the drying object category (such as polyvinyl chloride) and the drying object weight (system feed amount) of the object to be dried are set, as well as the bed temperature setting value of the tower bed area of ​​the drying tower and the airflow pipe bottom setting temperature of the airflow pipe for outflowing hot air. Secondly, the object to be dried is fed into the tower bed area of ​​the drying tower according to the weight and category of the drying object, and the hot air at the initial temperature is injected into the tower bed area of ​​the drying tower, and the bed temperature of the drying tower in the tower bed area, as well as the bottom temperature of the airflow pipe of the airflow pipe, the hot air temperature of the airflow pipe and the steam pressure of the airflow pipe (the steam pressure of the airflow pipe is directly observed by the steam pressure observer) are detected in real time, and the real-time drying tower bed temperature, the real-time airflow pipe bottom temperature, the real-time airflow pipe hot air temperature and the real-time airflow pipe steam pressure are obtained, and the real-time operation parameters are obtained. At the same time, the hot air injected into the drying tower dries the object to be dried in the tower bed area, passes through the airflow pipe and flows out from the air temperature regulating valve. In addition, the drying tower is also equipped with a matching hand operator, which allows the staff to control the control parameters of the polymerization drying system at any time to achieve the desired drying tower operating parameters and to promptly respond to abnormal problems caused by control failure or internal damage to the drying tower. Figure 2 The SP in it represents the set temperature value, and the PV represents the measured temperature value.

[0064] Then, based on the measured real-time operating parameters and the influence rules between the multiple parameters of the drying system obtained by the method of the present application, the multi-parameter coordinated control strategy of the drying system is determined, and the drying system is controlled based on the multi-parameter coordinated control strategy to control the temperature of the drying system so that the object to be dried can always be kept at a suitable drying temperature, thereby realizing dynamic drying of the object to be dried by the drying system, thereby improving the drying efficiency and drying effect of the drying system.

[0065] See also Figure 3 , Figure 3 A multi-parameter coordinated temperature control system is shown as an exemplary embodiment of the present application. Figure 3 As shown, the present application provides a multi-parameter coordinated temperature control system 300, comprising:

[0066] An acquisition module 301 is used to acquire historical parameter information of a drying system;

[0067] Analysis module 302, used to analyze historical parameter information to obtain the influence rules between multiple parameters of the drying system;

[0068] A determination module 303 is used to obtain real-time operating parameters of the drying system, and determine a multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and influencing rules;

[0069] The control module 304 is used to control the drying system based on a multi-parameter coordinated control strategy to control the temperature of the drying system.

[0070] In this embodiment, a multi-parameter coordinated temperature control system analyzes the historical parameter information of the drying system obtained by the acquisition module 301 through the analysis module 302 to obtain the influence rules between the multiple parameters of the drying system, and uses the determination module 303 to determine the multi-parameter coordinated control strategy based on the real-time operating parameters and influence rules of the drying system. The control module 304 controls the drying system based on the multi-parameter coordinated control strategy to control the temperature of the drying system, which can realize automatic regulation of the temperature of the drying system and reduce the control difficulty. At the same time, the automated control method can reduce the complexity of the drying process and improve the drying efficiency.

[0071] Optionally, the historical parameter information includes multiple types of parameters in the historical drying process; the analysis module is specifically used for:

[0072] For each type of parameter, the parameter variation curve is drawn according to the chronological order of the historical drying process;

[0073] Based on the multiple change curves, determining a regular curve corresponding to each change curve;

[0074] Obtain the changing rules between the changing curve and the regular curve as the influence rules between multiple types of parameters corresponding to the changing curve and the regular curve

[0075] Optionally, the analysis module is specifically used to:

[0076] For each change curve, determining a first curve having the same change trend as the change curve from among the multiple change curves;

[0077] Determine a second curve having an opposite change trend to the change curve;

[0078] Based on the first curve and the second curve, a regular curve corresponding to the change curve is formed.

[0079] Optionally, a module is determined, specifically for:

[0080] Based on the influencing rules, a table lookup is performed to obtain the corresponding optimization rules;

[0081] Optimize the real-time operating parameters based on the optimization rules to obtain the optimized operating parameters;

[0082] Based on the real-time operating parameters and optimized operating parameters, a multi-parameter coordinated control strategy for the drying system is obtained.

[0083] Optionally, a module is determined, specifically for:

[0084] Determine the optimized control parameters based on the real-time operating parameters and the optimized operating parameters;

[0085] The strategy of regulating according to the optimized control parameters is used as the multi-parameter coordinated control strategy of the drying system.

[0086] Optionally, the multi-parameter coordinated control strategy includes a hot air temperature control strategy and an air temperature regulating valve opening control strategy; the control module is specifically used for:

[0087] Based on the influencing rules, a table lookup is performed to obtain the corresponding optimization rules;

[0088] Based on the optimization rules, the real-time operating parameters are optimized to obtain the optimized operating parameters, which include optimizing the drying tower bed temperature and optimizing the airflow pipe temperature;

[0089] Based on the hot air temperature control strategy and the air temperature regulating valve opening control strategy, the hot air temperature and the air temperature regulating valve opening of the drying system are regulated to make the drying tower bed temperature of the drying system reach the optimized drying tower bed temperature, and the air flow pipe temperature of the drying system reach the optimized air flow pipe temperature.

[0090] Optionally, the system further comprises a temperature stabilization module, the temperature stabilization module being specifically used for:

[0091] Obtain the real-time steam pressure of the airflow pipe of the drying system and the historical steam pressure of the airflow pipe at the last moment;

[0092] Based on the historical gas flow pipe steam pressure and the real-time gas flow pipe steam pressure, the pressure disturbance amount is obtained;

[0093] When the pressure disturbance is within a preset range, the air temperature regulating valve of the drying system is closed so that the temperature stability of the drying system meets the preset requirements.

[0094] It should be noted that the multi-parameter coordinated temperature control system provided in the above embodiment and the multi-parameter coordinated temperature control method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here. In practical applications, the multi-parameter coordinated temperature control system provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the system into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0095] A computing device according to an embodiment of the present application includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, some or all steps of the above-mentioned multi-parameter coordinated temperature control method are implemented.

[0096] Among them, the computing device can be a computer, and correspondingly, its program is computer software. The above-mentioned parameters and steps in a computing device of the present application can refer to the parameters and steps in the embodiment of the multi-parameter coordinated temperature control method above, and will not be repeated here.

[0097] In an embodiment of the present application, a computer-readable storage medium is provided, in which instructions are stored. When the instructions are executed, the steps of the above-mentioned multi-parameter coordinated temperature control method are executed.

[0098] The computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0099] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the embodiment of the present disclosure. The aforementioned computer-readable storage medium may be a non-transitory computer-readable storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes, or a transient computer-readable storage medium.

[0100] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0101] Those skilled in the art know that the present application can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, generally referred to as "module" or "system" herein. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code. Computer-readable storage media can be, for example, but not limited to - electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above.

[0102] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0103] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A multi-parameter coordinated temperature control method, characterized in that: include: Obtain historical parameter information of the drying system; Analyze the historical parameter information to obtain the influence rules among multiple parameters of the drying system; Acquire real-time operating parameters of the drying system, and determine a multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and the influencing rules; The drying system is controlled based on the multi-parameter coordinated control strategy to control the temperature of the drying system.

2. The method according to claim 1, characterized in that The historical parameter information includes multiple types of parameters in the historical drying process; the analysis of the historical parameter information to obtain the influence rules between the multiple parameters of the drying system includes: For each type of the parameters, a variation curve of the parameters is plotted according to the time sequence of the historical drying process; Based on the plurality of said change curves, determining each of said change curves The corresponding regular curve; A variation law between the variation curve and the regular curve is obtained as an influence law between multiple types of parameters corresponding to the variation curve and the regular curve.

3. The method according to claim 2, characterized in that The determining, based on the plurality of change curves, a regular curve corresponding to each change curve comprises: For each of the change curves, determining a first curve having the same change trend as the change curve from a plurality of the change curves; Determine a second curve having an opposite change trend to the change curve; Based on the first curve and the second curve, a regular curve corresponding to the change curve is formed.

4. The method according to claim 1, characterized in that: The step of determining the multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and the influencing rules includes: Based on the influencing rules, a table is looked up to obtain corresponding optimization rules; Optimizing the real-time operating parameters based on the optimization rule to obtain optimized operating parameters; Based on the real-time operating parameters and the optimized operating parameters, a multi-parameter coordinated control strategy for the drying system is obtained.

5. The method according to claim 4, characterized in that The multi-parameter coordinated control strategy of the drying system is obtained based on the real-time operating parameters and the optimized operating parameters, including: Determining an optimized control parameter based on the real-time operating parameter and the optimized operating parameter; The strategy of regulating according to the optimized control parameters is used as the multi-parameter coordinated control strategy of the drying system.

6. The method according to claim 1, characterized in that The multi-parameter coordinated control strategy includes a hot air temperature control strategy and an air temperature regulating valve opening control strategy; the drying system is controlled based on the multi-parameter coordinated control strategy to control the temperature of the drying system, including: Based on the influencing rules, a table is looked up to obtain corresponding optimization rules; Optimizing the real-time operating parameters based on the optimization rule to obtain optimized operating parameters, wherein the optimized operating parameters include optimizing the drying tower bed temperature and optimizing the airflow pipe temperature; Based on the hot air temperature control strategy and the air temperature regulating valve opening control strategy, the hot air temperature and the air temperature regulating valve opening of the drying system are regulated so that the drying tower bed temperature of the drying system reaches the optimized drying tower bed temperature, and the air flow pipe temperature of the drying system reaches the optimized air flow pipe temperature.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Obtaining the real-time steam pressure of the airflow pipe of the drying system and the historical steam pressure of the airflow pipe at the last moment; Based on the historical gas flow pipe steam pressure and the real-time gas flow pipe steam pressure, a pressure disturbance amount is obtained; When the pressure disturbance is within a preset range, the air temperature regulating valve of the drying system is closed so that the temperature stability of the drying system meets the preset requirements.

8. A multi-parameter coordinated temperature control system, characterized in that: include: An acquisition module is used to obtain historical parameter information of the drying system; An analysis module, used to analyze the historical parameter information to obtain the influence rules among multiple parameters of the drying system; A determination module, used for acquiring real-time operating parameters of the drying system, and determining a multi-parameter coordinated control strategy of the drying system based on the real-time operating parameters and the influencing rules; A control module is used to control the drying system based on the multi-parameter coordinated control strategy to control the temperature of the drying system.

9. A computing device comprising a memory, a processor, and a program stored in the memory and running on the processor, characterized in that: When the processor executes the program, the steps of the multi-parameter coordinated temperature control method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the steps of a multi-parameter coordinated temperature control method as described in any one of claims 1 to 7.

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