Control method, control device and computer readable storage medium

Abstract

The invention relates to the field of automatic control, in particular to a control method, a control device, a computer readable storage medium and a computer program product. The control method comprises the steps that according to at least one of first measurement data in the koji culture system and indication of a user, operation needing to be executed by the koji culture system is determined; controlling an execution module in the koji culture system to execute the operation; according to second measurement data in the culture system, whether the operation result achieves a control target or not is judged, and the second measurement data is obtained after the execution module is controlled to execute the operation; and performing control corresponding to the operation on the koji culture system according to a judgment result.

Description

Technical Field

[0001] The present disclosure relates to the field of automatic control, and in particular to a control method, a control device, a computer-readable storage medium, and a computer program product. Background Art

[0002] Qu making is one of the core processes in the liquor brewing process. This process is to mix the raw materials and fermentation bacteria to make a special fermentation agent, namely qu. The quality of qu making directly affects the quality of the final liquor. The qu preparation process is affected by many factors such as season and geographical location, and the process flow is divided into multiple stages. Different stages have different requirements for environmental temperature and humidity and the content of manual operations.

[0003] In the related technologies, the control process in the Peiqu system is often unable to cope with the diverse process operation requirements and is unable to determine whether the required operations are performed correctly, thus affecting production efficiency and product quality. Summary of the invention

[0004] In the related art, when controlling the yeast preparation system, there is a problem that the yeast preparation system cannot be accurately controlled, resulting in low production efficiency.

[0005] In view of this, the present disclosure provides a control method that can effectively solve the above problems.

[0006] According to one aspect of the present disclosure, a control method is provided, including: determining an operation that needs to be performed by the Peiqu system based on first measurement data in the Peiqu system and at least one of a user's instructions; controlling an execution module in the Peiqu system to perform the operation; judging whether a result of the operation achieves a control target based on second measurement data in the Peiqu system, the second measurement data being acquired after controlling the execution module to perform the operation; and controlling the Peiqu system corresponding to the operation based on a result of the judgment.

[0007] In the technical solution of the embodiment of the present disclosure, by using the measurement data after executing the operation, it is judged whether the operation result achieves the control target, and based on the result of the judgment, the koji training system is further controlled, which can improve the control performance of the koji training system and thus improve the production efficiency of the koji.

[0008] In some embodiments, judging whether the result of the operation achieves the control target based on the second measurement data includes: when the second measurement data is within a normal range, judging that the result of the operation achieves the control target, and the normal range is the data range indicated by the Peiqu parameter corresponding to the current stage of the Peiqu system; when the second measurement data exceeds the normal range, judging that the result of the operation does not achieve the control target.

[0009] In the technical solution of the embodiment of the present disclosure, the second measurement data is compared with the normal range included in the Peiqu parameters to determine whether the result of the operation achieves the control target, that is, whether the measurement data after the operation returns to normal. Through the above settings, the results of the operations in the Peiqu system can be accurately judged, thereby improving the accuracy of subsequent further control and improving the control performance of the Peiqu system.

[0010] In some embodiments, based on the result of the judgment, controlling the Peiqu system corresponding to the operation includes: when the result of the judgment is that the result of the operation does not achieve the control target, judging whether the operation has been performed based on third measurement data, the third measurement data including image data obtained from an imaging sensor; and when the operation has been performed, outputting a first warning message.

[0011] In the technical solution of the embodiment of the present disclosure, by obtaining image data from the imaging sensor, it is possible to verify whether the operation has been performed when the result of the operation does not achieve the control target, so as to determine the specific reason why the result of the operation does not achieve the control target, thereby improving the control performance of the Peiqu system. Specifically, when the operation has been performed but the operation has not achieved the control target, a first warning message can be output to inform the user that other operations need to be performed further.

[0012] In some embodiments, based on the result of the judgment, controlling the Peiqu system corresponding to the operation also includes: if the operation has not been performed, controlling the execution module to perform the operation again, and judging whether the operation has been performed based on the third measurement data; and outputting a second warning message when the number of repetitions of controlling the execution module to perform the operation reaches a preset number and the operation is still not performed.

[0013] In the technical solution of the embodiment of the present disclosure, when it is determined that the operation has not been executed, the execution module in the Peiqu system is controlled again to execute the operation. When the control fails multiple times, a second warning message is output to inform the user that the operation cannot be successfully executed. Through the above-mentioned specific settings for further control of the Peiqu system, the specific reasons why the result of the operation does not achieve the goal can be determined, and corresponding warnings and controls can be carried out, thereby improving the control performance of the Peiqu system.

[0014] In some embodiments, determining the operation that the Peiqu system needs to perform based on at least one of the first measurement data in the Peiqu system and the user's instructions includes: determining the operation that the Peiqu system needs to perform based on the Peiqu parameters corresponding to the current stage of the Peiqu system and the first measurement data.

[0015] In the technical solution of the embodiment of the present disclosure, by receiving and determining the Peiqu parameters corresponding to the current stage of the Peiqu system, the normal range of each data in the Peiqu system in the current stage can be determined, so as to determine the abnormal data in the Peiqu system based on the normal range of the data, that is, the data that is not within the normal range, thereby ensuring that the parameters in the Peiqu system are within the optimal range corresponding to the current stage under the current state, so as to improve the control performance of the Peiqu system.

[0016] In some embodiments, determining the operation that the Peiqu system needs to perform based on the Peiqu parameters corresponding to the current stage of the Peiqu system and the first measurement data includes: determining the type of abnormality in the Peiqu system based on the Peiqu parameters and the first measurement data; and determining the operation that needs to be performed based on the abnormality type.

[0017] In the technical solution of the disclosed embodiment, the abnormalities of the Peiqu system are divided into different abnormality types. By first confirming the type of abnormality in the Peiqu system and then determining the operations to be performed in the Peiqu system according to the different types of abnormalities, the efficiency and accuracy of determining the control operations can be further improved, thereby improving the control performance of the Peiqu system.

[0018] In some embodiments, the abnormality types include temperature abnormality, humidity abnormality, and carbon dioxide concentration abnormality, and the fermentation parameters include at least one of a temperature range, a temperature difference threshold, a temperature change rate range, a humidity range, and a carbon dioxide concentration range. According to the fermentation parameters and the first measurement data, determining the abnormality type in the fermentation system includes: when the temperature in the first measurement data exceeds the temperature range, or the temperature change rate exceeds the temperature change rate range, or the temperature difference between adjacent layers of the koji is greater than the temperature difference threshold, determining that the abnormality type is a temperature abnormality; when the humidity in the first measurement data exceeds the humidity range, determining that the abnormality type is a humidity abnormality; when the carbon dioxide concentration in the first measurement data exceeds the carbon dioxide concentration range, determining that the abnormality type is a carbon dioxide concentration abnormality.

[0019] In the technical solution of the embodiment of the present disclosure, based on the common abnormalities in the koji system, the types of abnormalities are determined to include temperature abnormality, humidity abnormality and carbon dioxide abnormality, and specific settings are made on how to judge the type of abnormality. The temperature change rate of the koji that is too fast or too slow and the temperature difference between adjacent layers that is too high are taken as one of the temperature abnormality situations, which improves the accuracy of judging the type of abnormality in the koji system, thereby improving the control performance of the koji system.

[0020] In some embodiments, based on the abnormality type, determining the operation to be performed includes: when the abnormality type is temperature abnormality, determining that the operation to be performed includes at least one of opening windows for ventilation, closing windows for insulation, and turning on air conditioning; when the abnormality type is humidity abnormality, determining that the operation to be performed includes at least one of opening windows for ventilation, turning on a humidifier, and turning on air conditioning; when the abnormality type is carbon dioxide concentration abnormality, determining that the operation to be performed includes at least one of opening windows for ventilation and turning on air conditioning.

[0021] In the technical solution of the embodiment of the present disclosure, specific operations to be performed for each type of exception are set according to the solutions to common exceptions in the Peiqu system, so that the Peiqu system can effectively and quickly determine the operations to be performed, thereby improving the control efficiency of the Peiqu system.

[0022] In some embodiments, determining the operation to be performed according to the exception type includes: determining the operation to be performed according to the exception type and environmental data of the Peiqu system.

[0023] In the technical solution of the embodiment of the present disclosure, in addition to the type of abnormality, the environmental data of the Peiqu system, such as the air temperature and air humidity outside the Peiqu room, are also used to determine the operations that need to be performed, thereby improving the accuracy of the determined control operations and thus improving the control performance of the Peiqu system.

[0024] In some embodiments, the environmental data of the Peiqu system includes the ambient temperature of the Peiqu system. According to the abnormality type and the environmental data of the Peiqu system, determining the operation to be performed includes: when the abnormality type is a temperature abnormality and the ambient temperature of the Peiqu system is greater than the ambient temperature threshold, determining that the operation to be performed includes turning on the air conditioner; when the abnormality type is a temperature abnormality and the ambient temperature of the Peiqu system is less than the ambient temperature threshold, determining that the operation to be performed includes opening windows for ventilation.

[0025] In the technical solution of the embodiment of the present disclosure, it is specifically arranged that when the ambient temperature is low, the temperature in the Peiqu system is adjusted by opening windows for ventilation, thereby saving energy consumption. When the ambient temperature is high, the temperature in the Peiqu system is adjusted by turning on the air conditioner to ensure the effectiveness of the control operation. The above-mentioned arrangement allows the Peiqu system to accurately determine the optimal control operation in different environments, thereby improving the control performance of the Peiqu system.

[0026] In some embodiments, determining the operation that the Peiqu system needs to perform based on at least one of the first measurement data in the Peiqu system and the user's instructions includes: generating a Peiqu historical record based on the historical measurement data in the Peiqu system and the historical operation data corresponding to the historical measurement data; determining the operation that the Peiqu system needs to perform based on the first measurement data and the Peiqu historical record.

[0027] In the technical solution of the embodiment of the present disclosure, a Peiqu history record can also be generated based on the historical data and historical operations of the Peiqu system to achieve data traceability of the Peiqu process, and support judgment of the control operations currently required by the Peiqu system based on the historical records, further improving the accuracy of determining the control operations, thereby improving the control performance of the Peiqu system.

[0028] In some embodiments, the control method further includes: acquiring the second measurement data from a sensor corresponding to the type of the operation according to the type of the operation.

[0029] In the technical solution of the embodiment of the present disclosure, by determining the type of control operation performed in the Peiqu system, a sensor corresponding to the operation can be selected to obtain second measurement data after the operation is executed, further improving the accuracy of the judgment on whether the result of the control operation achieves the control target, thereby improving the control performance of the Peiqu system.

[0030] In some embodiments, according to the type of the operation, obtaining the second measurement data from a sensor corresponding to the type of operation includes: when the type of operation is an operation related to temperature, obtaining the second measurement data from a temperature sensor; when the type of operation is an operation related to humidity, obtaining the second measurement data from a humidity sensor; when the type of operation is an operation related to carbon dioxide concentration, obtaining the second measurement data from a carbon dioxide sensor.

[0031] In the technical solution of the disclosed embodiment, by specifically dividing the commonly used operations in the Peiqu system into three categories: temperature-related operations, humidity-related operations, and carbon dioxide concentration-related operations, for each type of operation, the second measurement data after the operation is executed can be obtained from the corresponding temperature sensor, humidity sensor or carbon dioxide sensor, thereby improving the efficiency and accuracy of obtaining the second measurement data, so as to improve the control performance of the Peiqu system.

[0032] In some embodiments, the control method further includes: outputting a reminder message when at least one of the following situations occurs: the energy consumption of the Peiqu system exceeds an energy threshold, an abnormality occurs in the Peiqu system, a current stage of the Peiqu system changes, or the Peiqu system performs a control operation.

[0033] In the technical solution of the embodiment of the present disclosure, by outputting reminder information to the user in the above situation, the user can obtain relevant information in the Peiqu system in a timely manner, and perform corresponding feedback and control when necessary, thereby improving the control performance of the Peiqu system.

[0034] According to another aspect of the present disclosure, a control device is provided, including: a determination module, configured to determine an operation that needs to be performed by the Peiqu system based on at least one of first measurement data in the Peiqu system and a user's instruction; an execution module, configured to control an execution module in the Peiqu system to perform the operation; a judgment module, configured to judge whether a result of the operation achieves a control target based on second measurement data in the Peiqu system, the second measurement data being acquired after controlling the execution module to perform the operation; and a control module, configured to control the Peiqu system corresponding to the operation based on a result of the judgment.

[0035] In the technical solution of the embodiment of the present disclosure, the control device judges whether the operation result achieves the control target through the measurement data after executing the operation, and further controls the koji training system according to the judgment result, which can improve the control performance of the koji training system and thus improve the production efficiency of the koji.

[0036] According to yet another aspect of the present disclosure, a control device is provided, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the control method as described above based on instructions stored in the memory.

[0037] According to another aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the control method as described above is implemented.

[0038] According to yet another aspect of the present disclosure, a computer program product is provided. When the computer program product is executed on a computer, the computer is enabled to implement the control method as described above.

[0039] In the technical solution of the embodiment of the present disclosure, the control method judges whether the operation result achieves the control target through the measurement data after executing the operation, and further controls the koji training system according to the judgment result, which can improve the control performance of the koji training system and thus improve the production efficiency of the koji. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0041] The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0042] Figure 1 is a flow chart showing a control method according to some embodiments of the present disclosure;

[0043] Figure 2A is a schematic diagram illustrating a control method according to some embodiments of the present disclosure;

[0044] Figure 2B is a schematic diagram showing a tea-making system according to some embodiments of the present disclosure;

[0045] Figure 3 is a flow chart illustrating determining operations that need to be performed according to some embodiments of the present disclosure;

[0046] Figure 4 is a flowchart illustrating determining operations that need to be performed according to other embodiments of the present disclosure;

[0047] Figure 5 is a flow chart showing the control of the Peiqu system corresponding to the operation according to some embodiments of the present disclosure;

[0048] Fig. 6A is a judgment flow chart showing a control method according to an embodiment of the present disclosure;

[0049] Figure 6B is a schematic structural diagram showing a device for preparing tea leaves according to an embodiment of the present disclosure;

[0050] Figure 7 is a flow chart showing a control method according to other embodiments of the present disclosure;

[0051] Figure 8 A block diagram showing a control device according to some embodiments of the present disclosure;

[0052] Fig. 9 is a block diagram showing a control device according to some other embodiments of the present disclosure;

[0053] Fig.10 is a block diagram illustrating a computer system for implementing some embodiments of the present disclosure.

[0054] It should be understood that the size of each part shown in the accompanying drawings is not drawn according to the actual proportional relationship. In addition, the same or similar reference numerals represent the same or similar components. DETAILED DESCRIPTION

[0055] Various embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the embodiments is merely illustrative and is in no way intended to limit the present disclosure and its application or use. The present disclosure can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to make the present disclosure thorough and complete and to fully express the scope of the present disclosure to those skilled in the art. It should be noted that unless otherwise specifically stated, the relative arrangement of the components and steps described in these embodiments should be interpreted as being merely illustrative and not as a limitation.

[0056] The words "first", "second" and similar words used in this disclosure do not indicate any order, quantity or importance, but are only used to distinguish different parts. The words "include" and similar words mean that the elements before the word include the elements listed after the word, and do not exclude the possibility of including other elements.

[0057] It should also be understood that any component, data or structure mentioned in the embodiments of the present disclosure can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.

[0058] All terms (including technical terms or scientific terms) used in the present disclosure have the same meanings as those understood by ordinary technicians in the field to which the present disclosure belongs, unless otherwise specifically defined. It should also be understood that terms defined in general dictionaries, such as general dictionaries, should be interpreted as having meanings consistent with their meanings in the context of the relevant technology, and should not be interpreted in an idealized or extremely formal sense, unless explicitly defined herein.

[0059] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0060] In the traditional control method of the koji-peeling system, when controlling the koji-peeling system, there is a problem that the precise control of the koji-peeling system cannot be achieved, resulting in low production efficiency.

[0061] In view of this, the present disclosure proposes a control method that can improve the control efficiency of the koji training system, thereby improving the production efficiency of the koji.

[0062] First, combine Figure 1 The control method in the present disclosure is described. Figure 1 is a flow chart illustrating a control method according to some embodiments of the present disclosure.

[0063] like Figure 1As shown, the control method includes: step S1, determining the operation that needs to be performed by the Peiqu system according to the first measurement data in the Peiqu system and at least one of the user's instructions; step S2, controlling the execution module in the Peiqu system to perform the operation; step S3, judging whether the result of the operation achieves the control target according to the second measurement data in the Peiqu system, the second measurement data is obtained after controlling the execution module to perform the operation; step S4, controlling the Peiqu system corresponding to the operation according to the result of the judgment.

[0064] The first measurement data in the yeast cultivation system includes parameters such as the temperature and humidity of the yeast, which can be measured and monitored by sensors such as temperature sensors and humidity sensors placed at the yeast.

[0065] The user's instructions are, for example, remotely input by the user through the environmental control system software, and the Peiqu system can perform corresponding operations according to the user's instructions. If no subsequent instructions from the user are received within a certain period of time, the Peiqu system can automatically restore to automatic control according to the first measurement data.

[0066] The control target includes, for example, an abnormality in the fermentation system to be resolved by the control operation, such as when the fermentation temperature is too high, the control target is to reduce the temperature of the fermentation. For another example, the control target may be to change the current state in the fermentation system, such as when the current stage of the fermentation system changes, the fermentation needs to be opened / closed so that the state of the fermentation corresponds to the changed stage.

[0067] The execution subject of the above control method is, for example, a koji-training device placed in a koji-training room of the koji-training system, such as Figure 2A shown. Figure 2A The control method according to some embodiments of the present disclosure is shown in FIG. The device can obtain first measurement data through a first sensor, determine the operation that the system needs to perform, control the execution module to perform the operation, and then obtain second measurement data from a second sensor to verify the result of the operation.

[0068] Through the control device in the Qu room, the Qu Pei system can perform corresponding control when encountering abnormal situations, try to solve the abnormalities, and improve the robustness of the Qu Pei system.

[0069] Figure 2B Schematic diagram of a tea-making system according to some embodiments of the present disclosure. Figure 2B As shown, the Peiqu environmental control software can be responsible for issuing process control instructions for multiple Peiqu devices. The Peiqu devices and sensors can be connected through wireless communication. The execution modules include, for example, a window opening control box, a humidification control box, a circulation fan control box, an air conditioning control box, etc., wherein each control box can control multiple devices.

[0070] In the above control method, by using the measurement data after executing the operation, it is judged whether the operation result achieves the control target, and based on the judgment result, the koji training system is further controlled, which can improve the control performance of the koji training system and thus improve the production efficiency of the koji.

[0071] In some embodiments, step S1, determining the operation that the Peiqu system needs to perform based on the first measurement data in the Peiqu system and at least one of the user's instructions, includes: determining the operation that the Peiqu system needs to perform based on the Peiqu parameters corresponding to the current stage of the Peiqu system and the first measurement data.

[0072] Specifically, the above-mentioned yeast parameters can be input by the user through the environmental control system software, or can be selected and determined by the yeast system from the built-in candidate yeast parameters. The candidate yeast parameters are, for example, parameters corresponding to different seasons, different geographical locations, and different yeast block types, representing the normal data range under various conditions.

[0073] In the above control method, data isolation can also be achieved by setting different permissions for the tea parameters in the tea system according to the organizational structure, user role, etc. Users with different permissions can see different data, thereby achieving confidentiality management of tea process parameters.

[0074] By receiving and determining the Peiqu parameters corresponding to the current stage of the Peiqu system, the normal range of each data in the Peiqu system in the current stage can be determined, so as to determine the abnormal data in the Peiqu system based on the normal range of the data, that is, the data that is not within the normal range, thereby ensuring that the parameters in the Peiqu system are within the optimal range corresponding to the current stage under the current state, so as to improve the control performance of the Peiqu system.

[0075] Further, determining the operation to be performed according to the training parameters and the first measurement data can be performed by determining the type of abnormality in the training system, such as Figure 3 shown. Figure 3 is a flow chart illustrating determining operations that need to be performed according to some embodiments of the present disclosure.

[0076] like Figure 3 As shown, step S1, determining the operation that needs to be performed by the Peiqu system based on the first measurement data in the Peiqu system and at least one of the user's instructions, includes: step S11A, determining the type of abnormality in the Peiqu system based on the Peiqu parameters and the first measurement data; step S12A, determining the operation that needs to be performed based on the abnormality type.

[0077] In the above embodiment, the abnormalities of the Peiqu system are divided into different abnormality types. By first confirming the type of abnormality in the Peiqu system and then determining the operations to be performed in the Peiqu system according to the different types of abnormalities, the efficiency and accuracy of determining the control operations can be further improved, thereby improving the control performance of the Peiqu system.

[0078] Specifically, the abnormality types may include abnormal temperature, abnormal humidity, and abnormal carbon dioxide concentration.

[0079] In some embodiments, the fermentation parameters include, for example, at least one of a temperature range, a temperature difference threshold, and a temperature change rate range. Determining the abnormality type in the fermentation system based on the fermentation parameters and the first measurement data includes: determining that the abnormality type is a temperature abnormality when the temperature in the first measurement data exceeds the temperature range, or the temperature change rate exceeds the temperature change rate range, or the temperature difference between adjacent layers of the fermentation koji is greater than the temperature difference threshold.

[0080] When there is a problem with the temperature in the koji system, the rate of temperature change, or the temperature difference between adjacent layers of the koji, the abnormality in the koji system can be determined as a temperature abnormality, and then it can be determined that the operation to be performed includes at least one of opening windows for ventilation, closing windows for insulation, and turning on air conditioning.

[0081] In some other embodiments, the training parameters include, for example, a humidity range. According to the training parameters and the first measurement data, determining the abnormality type in the training system includes: when the humidity in the first measurement data exceeds the humidity range, determining the abnormality type as a humidity abnormality.

[0082] When there is a problem with the humidity in the Peiqu system, the abnormality in the Peiqu system can be determined as a humidity abnormality, and then it can be determined that the operation to be performed includes at least one of opening windows for ventilation, turning on a humidifier, and turning on an air conditioner.

[0083] In some other embodiments, the training parameter includes, for example, a carbon dioxide concentration range. Determining the abnormality type in the training system according to the training parameter and the first measurement data includes: determining the abnormality type as carbon dioxide concentration abnormality when the carbon dioxide concentration in the first measurement data exceeds the carbon dioxide concentration range.

[0084] In the event that there is a problem with the carbon dioxide concentration in the Peiqu system, the abnormality in the Peiqu system can be determined as an abnormal carbon dioxide concentration, and then it can be determined that the operation to be performed includes at least one of opening windows for ventilation and turning on the air conditioner.

[0085] In the above embodiment, based on common abnormalities in the Peiqu system, the types of abnormalities are determined to include temperature abnormality, humidity abnormality and carbon dioxide abnormality, and specific settings are made on how to judge the type of abnormality.

[0086] For example, the temperature change rate of the koji that is too fast or too slow and the temperature difference between adjacent layers that is too high are taken as one of the temperature abnormalities, which improves the accuracy of judging the abnormal type in the koji preparation system, thereby improving the control performance of the koji preparation system.

[0087] In addition, in the above embodiments, based on the solutions to common exceptions in the Peiqu system, specific operations to be performed for each exception type are set, so that the Peiqu system can effectively and quickly determine the operations that need to be performed, thereby further improving the control efficiency of the Peiqu system.

[0088] Combined with the above Figure 3 It has been introduced how to determine the operations that the Peiqu system needs to perform based on the exception type. Next, it will be introduced how to determine the operations that the Peiqu system needs to perform based on the exception type and in combination with environmental data.

[0089] Step S12A, determining the operation to be performed according to the abnormality type may also include: determining the operation to be performed according to the abnormality type and environmental data of the Peiqu system.

[0090] In addition to the abnormality type, the environmental data of the Peiqu system, such as the air temperature and air humidity outside the Peiqu room, can also be used to determine the operations that need to be performed, further improving the accuracy of the determined control operations and thus improving the control performance of the Peiqu system.

[0091] Specifically, based on the abnormality type and the environmental data of the Peiqu system, determining the operation to be performed may include: when the abnormality type is a temperature abnormality and the ambient temperature of the Peiqu system is greater than the ambient temperature threshold, determining that the operation to be performed includes turning on the air conditioner; when the abnormality type is a temperature abnormality and the ambient temperature of the Peiqu system is less than the ambient temperature threshold, determining that the operation to be performed includes opening windows for ventilation.

[0092] Through the above specific settings, when the ambient temperature is low, the temperature in the Peiqu system can be adjusted by opening windows for ventilation, thereby saving energy consumption. When the ambient temperature is high, the temperature in the Peiqu system can be adjusted by turning on the air conditioner, thereby ensuring the effectiveness of the control operation.

[0093] In the above embodiments, the Peiqu system can accurately determine the optimal control operation under different environments, thereby improving the control performance of the Peiqu system.

[0094] In the control method described in the above embodiment, by determining the abnormality type and then determining the operation that the Peiqu system needs to perform according to the abnormality type, the control operation can be determined quickly and accurately, thereby improving the control performance of the Peiqu system.

[0095] Next, combine Figure 4 Continue to describe how to determine what actions the Peiqu system needs to perform. Figure 4 is a flowchart illustrating determining operations that need to be performed according to some other embodiments of the present disclosure.

[0096] like Figure 4 As shown, step S1, determining the operation that needs to be performed by the Peiqu system based on the first measurement data in the Peiqu system and at least one of the user's instructions, includes: step S11B, generating a Peiqu historical record based on the historical measurement data in the Peiqu system and the historical operation data corresponding to the historical measurement data; step S12B, determining the operation that needs to be performed by the Peiqu system based on the first measurement data and the Peiqu historical record.

[0097] In the above embodiment, a Peiqu history record can be generated based on the historical data and historical operations of the Peiqu system to achieve data traceability of the Peiqu process, and support judgment of the control operations that the Peiqu system currently needs to perform based on the historical records, further improving the accuracy of determining the control operations, thereby improving the control performance of the Peiqu system.

[0098] In some embodiments, the above-mentioned tea cultivation history records can also be generated as chart data, for example, including a temperature change trend chart, a humidity change trend chart, and a carbon dioxide concentration change trend chart, and based on the historical operation data, the time points corresponding to the historical operations are marked in the above-mentioned charts, thereby realizing a visual backtracking of the measurement data and operation linkage of the tea cultivation process.

[0099] Return to the following Figure 1 After the control execution module performs the above operation, the result of the operation can be verified through the second measurement data in step S3.

[0100] In some embodiments, step S3, judging whether the result of the operation achieves the control target based on the second measurement data includes: when the second measurement data is within a normal range, judging that the result of the operation achieves the control target, and the normal range is the data range indicated by the Peiqu parameter corresponding to the current stage of the Peiqu system; when the second measurement data exceeds the normal range, judging that the result of the operation does not achieve the control target.

[0101] In the above embodiment, the second measurement data is compared with the normal range included in the Peiqu parameters to determine whether the result of the operation achieves the control target, that is, whether the measurement data after the operation returns to normal. Through the above settings, the results of the operations in the Peiqu system can be accurately judged, thereby improving the accuracy of subsequent further control and improving the control performance of the Peiqu system.

[0102] In the control method proposed in the present disclosure, obtaining the second measurement data includes, for example, obtaining the second measurement data from a sensor corresponding to the type of operation according to the type of operation.

[0103] By determining the type of control operation performed in the Peiqu system, a sensor corresponding to the operation can be selected to obtain second measurement data after the operation is performed, so as to improve the accuracy of the judgment on whether the result of the control operation achieves the control target, thereby improving the control performance of the Peiqu system.

[0104] For example, according to the type of the operation, obtaining the second measurement data from a sensor corresponding to the type of operation may include: when the type of operation is an operation related to temperature, obtaining the second measurement data from a temperature sensor; when the type of operation is an operation related to humidity, obtaining the second measurement data from a humidity sensor; when the type of operation is an operation related to carbon dioxide concentration, obtaining the second measurement data from a carbon dioxide sensor.

[0105] The second measurement data can be obtained by a different sensor from the first measurement data, thereby further improving the verification function of the second measurement data for the operation. For example, in the case where the temperature sensor for obtaining the first measurement data is a temperature sensor placed at the koji, the temperature sensor for obtaining the second measurement data can be an infrared thermal imaging sensor.

[0106] By specifically classifying the commonly used operations in the Peiqu system into three categories: temperature-related operations, humidity-related operations, and carbon dioxide concentration-related operations, for each type of operation, the second measurement data after the control operation is executed is obtained from the corresponding temperature sensor, humidity sensor, or carbon dioxide sensor, which can improve the efficiency and accuracy of obtaining the second measurement data, so as to improve the control performance of the Peiqu system.

[0107] The above describes how to determine whether the results of an operation achieve the control objective. The following describes how to further control the Peiqu system based on the results of the above determination.

[0108] In some embodiments, step S4, based on the result of the judgment, controlling the Peiqu system corresponding to the operation includes: when the result of the judgment is that the result of the operation does not achieve the control target, judging whether the operation has been performed based on third measurement data, the third measurement data including image data obtained from the imaging sensor; when the operation has been performed, outputting a first warning message.

[0109] By obtaining image data from the imaging sensor, it is possible to verify whether the operation is performed when the result of the operation does not achieve the control target, so as to determine the specific reason why the result of the operation does not achieve the control target, thereby improving the control performance of the Peiqu system.

[0110] When the control operation has been performed but the control operation has not achieved the control target, a first warning message may be output to inform the user that other operations need to be further performed.

[0111] For example, when the koji temperature is too high, the koji system determines that it is necessary to open the window for ventilation. After the window opening control module is controlled to perform the control operation, it is determined whether the result of the operation achieves the control target. If the koji temperature is still beyond the normal range, it is determined that the result of the control operation does not achieve the control target. At this time, an imaging sensor, such as a camera, can be used to verify whether the window is open.

[0112] When the window is open, it can be determined that the control operation has been performed, but the desired effect cannot be achieved, so a first warning message is output to the user, informing the user that other measures may need to be taken to lower the temperature of the koji.

[0113] In addition, when the operation is not performed, the execution module can be controlled to perform the operation again, and whether the operation has been performed can be determined based on the third measurement data; when the execution module is controlled to perform the operation repeatedly for a preset number of times and the operation is still not performed, a second warning message is output.

[0114] By determining that the operation has not been executed, the execution module in the Peiqu system is controlled again to execute the operation. If multiple controls are unsuccessful, a second warning message is output to inform the user that the operation cannot be successfully executed.

[0115] Continuing with the example described above, when the camera determines that the window is not open, the window opening control module is controlled again to perform the window opening operation. For example, when the window cannot be opened after three repetitions, a second warning message is output to the user to inform the user that the window opening operation failed and cannot be opened.

[0116] The above settings can determine the specific reasons why the operation results do not achieve the goals, and make corresponding warnings and controls, thereby improving the control performance of the Peiqu system.

[0117] Next, we will combine Figure 5 A further embodiment of step S4 is introduced. Figure 5 is a flow chart showing the control of a brewing system corresponding to an operation according to some embodiments of the present disclosure.

[0118] like Figure 5 As shown, step S4, according to the result of the judgment, controlling the Peiqu system corresponding to the operation may also include: step S41, when the result of the judgment is that the result of the operation does not achieve the control target, judging whether the operation has been performed according to the third measurement data, the third measurement data including the image data obtained from the imaging sensor; step S42, when the operation has been performed, outputting a first warning message; step S43, when the operation has not been performed, controlling the execution module to perform the operation again, and judging whether the operation has been performed according to the third measurement data; step S44, when the number of repetitions of controlling the execution module to perform the operation reaches a preset number and the operation is still not performed, outputting a second warning message; step S45, when the operation has been performed, judging whether the result of the operation achieves the control target according to the second measurement data; step S46, when the result of the judgment is that the result of the operation does not achieve the control target, outputting a first warning message.

[0119] The above steps S41 and S44 have been described above and will not be described again. The following will focus on steps S45 to S46.

[0120] If the control execution module is controlled to operate successfully again, the second measurement data can be used to determine whether the result of the operation achieves the control target. If the result of the operation does not achieve the control target, a first warning message is output to inform the user that other operations need to be performed further.

[0121] Continuing to refer to the above example, when the window opening control module is controlled again to perform the window opening operation successfully, it is possible to judge again whether the koji temperature has dropped to the normal range. If the koji temperature is still beyond the normal range, a first warning message similar to the above example can be output to inform the user that other measures may need to be taken to lower the temperature of the koji.

[0122] Combined with the above Figures 1 to 5 Steps S1 to S4 of the control method in some embodiments of the present disclosure are introduced. Fig. 6A and Figure 6B A specific embodiment of the control method disclosed herein is introduced. Fig. 6A Detailed description is a flow chart showing a control method according to an embodiment of the present disclosure.

[0123] As shown in FIG6 , the control method proposed in the present disclosure first determines whether the requirements of the current process stage are met through the first measurement data and the teasing parameters, and if not met, determines the type of abnormality based on the unsatisfied items, and then determines the operations that need to be performed in the teasing system.

[0124] After the control execution unit executes the operation, it verifies whether the operation is executed based on the second measurement data and the third measurement data, and outputs the first warning information and the second warning information respectively in different situations, thereby realizing timely reporting of unhandled exceptions and improving the control performance of the Peiqu system.

[0125] Figure 6B It is a schematic diagram showing the structure of a tea-tearing device according to an embodiment of the present disclosure. Figure 6B The shown teasing device can be used to perform Fig. 6A The control method shown in Figure 6B As shown, the Peiqu device can exchange data with the environmental control system software through the controller module, receive measurement data from the sensor, perform logical operations and judgments according to the control logic, and control the execution unit.

[0126] Combined with the above Fig. 6A and Figure 6B The specific process and implementation subject of the control method proposed in the present invention are introduced. By using the measurement data after executing the operation, it is judged whether the operation result achieves the control target, and based on the result of the judgment, the koji training system is further controlled, which can improve the control performance of the koji training system and thus improve the production efficiency of the koji.

[0127] Figure 7 is a flowchart illustrating a control method according to other embodiments of the present disclosure.

[0128] like Figure 7 As shown, the control method is Figure 1 The control method shown further includes step S5 of outputting reminder information.

[0129] In some embodiments, a reminder message may be output when an abnormality occurs in the brewing system.

[0130] When it is determined that an abnormality exists in the koji preparation system, in addition to performing control operations, a reminder message can be output to the user so that the user is informed of the abnormality that occurs in the koji preparation system, such as the koji temperature being too high.

[0131] In other embodiments, a reminder message may be output when the current stage of the tea brewing system changes.

[0132] When it is determined that the current stage of the Peiqu system has changed, a reminder message may be output to the user so that the user is informed of the change in the current stage of the Peiqu system and can decide whether remote control is required.

[0133] In some further embodiments, reminder information may be outputted when the brewing system performs control operations.

[0134] When a control operation is performed, control reminder information can be output to the user so that the user knows that the Peiqu system has performed a control operation, such as opening a window for ventilation.

[0135] In some other embodiments, a reminder message may be output when the energy consumption of the brewing system exceeds an energy threshold.

[0136] When it is determined that the energy consumption of the Peiqu system exceeds the threshold set by the user, a reminder message can be output to the user, and energy statistical analysis can be provided to the user, thereby helping the user to achieve energy consumption management.

[0137] The above is the control method provided by the embodiment of the present disclosure. The control method provided by the present disclosure judges whether the operation result achieves the control target through the measurement data after the operation is executed, and further controls the koji training system according to the judgment result, which can improve the control performance of the koji training system, thereby improving the production efficiency of koji.

[0138] Reference below Figure 8 and Fig. 9 A control device according to an embodiment of the present disclosure is described, which is used to execute any embodiment of the above control method. Figure 8 A block diagram of a control device according to some embodiments of the present disclosure is shown.

[0139] like Figure 8 As shown, the control device 8 includes a determination module 81, which is configured to determine the operation that needs to be performed by the Peiqu system based on the first measurement data in the Peiqu system and at least one of the user's instructions; an execution module 82, which is configured to control the execution module in the Peiqu system to perform the operation; a judgment module 83, which is configured to judge whether the result of the operation achieves the control target based on the second measurement data in the Peiqu system, and the second measurement data is acquired after controlling the execution module to perform the operation; and a control module 84, which is configured to control the Peiqu system corresponding to the operation based on the result of the judgment.

[0140] The determination module 81 of the control device can be used to perform Figure 1The execution module 82 of the control device can be used to execute Figure 1 The judgment module 83 of the control device can be used to perform Figure 1 The control module 84 of the control device can be used to perform Figure 1 Step S4 in .

[0141] In some embodiments, the control device 8 may also include a reminder module for executing Figure 7 Step S5 in .

[0142] Fig. 9 is a block diagram showing a control device according to some other embodiments of the present disclosure. Fig. 9 As shown, the control device 9 includes a memory 91; and a processor 92 coupled to the memory 91, and the processor 92 is used to execute the control method described in any of the above embodiments based on the instructions stored in the memory.

[0143] Each module in the above-mentioned control device judges whether the operation result achieves the control target through the measurement data after executing the operation, and further controls the koji training system according to the judgment result, which can improve the control performance of the koji training system and thus improve the production efficiency of the koji.

[0144] Fig.10 is a block diagram illustrating a computer system for implementing some embodiments of the present disclosure.

[0145] like Fig.10 As shown, the computer system 10 may be embodied in the form of a general-purpose computing device. The computer system 10 includes a memory 101, a processor 102, and a bus 100 that connects various system components.

[0146] The memory 101 may be a computer-readable storage medium in various forms, such as a system memory, a non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader (BootLoader), and other programs. The system memory may include a volatile storage medium, such as a random access memory (RAM) and / or a cache memory. The non-volatile storage medium may store, for example, instructions for executing the corresponding embodiment of the control method. The non-volatile storage medium includes, but is not limited to, a disk storage, an optical storage, a flash memory, etc.

[0147] The processor 102 may be implemented by a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistors, and other discrete hardware components. Accordingly, each module may be implemented by a central processing unit (CPU) running instructions in a memory that execute corresponding steps, or by a dedicated circuit that executes corresponding steps.

[0148] The bus 100 may use any of a variety of bus architectures, including, but not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, and a Peripheral Component Interconnect (PCI) bus.

[0149] The computer system 10 may also include an input / output interface 103, a network interface 104, a storage interface 105, etc. These interfaces 103, 104, 105, the memory 101, and the processor 102 may be connected via a bus 100. The input / output interface 103 may provide a connection interface for input / output devices such as a display, a mouse, and a keyboard. The network interface 104 may provide a connection interface for various networked devices. The storage interface 105 may provide a connection interface for external storage devices such as a floppy disk, a USB flash drive, and an SD card.

[0150] According to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which, when running on a computer, enables the computer to implement the control method described in any of the foregoing embodiments. The computer program product includes computer instructions carried on a computer-readable medium, and the computer instructions include program code for executing the method shown in the flowchart.

[0151] So far, various embodiments of the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details known in the art are not described. Based on the above description, those skilled in the art can fully understand how to implement the technical solution disclosed here.

[0152] Although some specific embodiments of the present disclosure have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It should be understood by those skilled in the art that the above embodiments may be modified or some technical features may be replaced by equivalents without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A control method, comprising: Determine an operation that the Peiqu system needs to perform according to at least one of the first measurement data in the Peiqu system and the user's instruction; Controlling the execution module in the Peiqu system to execute the operation; judging whether the result of the operation achieves the control target according to second measurement data in the Peiqu system, wherein the second measurement data is obtained after controlling the execution module to execute the operation; Based on the result of the judgment, the brewing system is controlled corresponding to the operation.

2. The control method according to claim 1, wherein: Judging, according to the second measurement data, whether the result of the operation achieves the control target comprises: In the case where the second measurement data is within a normal range, judging that the result of the operation achieves the control target, the normal range being a data range indicated by a beating parameter corresponding to the current stage of the beating system; When the second measurement data exceeds the normal range, it is determined that the result of the operation does not achieve the control target.

3. The control method according to claim 2, wherein: According to the result of the judgment, controlling the tea making system corresponding to the operation includes: In a case where the result of the judgment is that the result of the operation does not achieve the control target, judging whether the operation has been performed according to third measurement data, the third measurement data comprising image data acquired from an imaging sensor; In the case where the operation has been performed, a first warning message is output.

4. The control method according to claim 3, wherein: According to the result of the judgment, controlling the tea making system corresponding to the operation further includes: If the operation has not been performed, controlling the execution module to perform the operation again, and judging whether the operation has been performed according to the third measurement data; When the execution module is controlled to execute the operation repeatedly for a preset number of times and the operation is still not executed, a second warning message is output.

5. The control method according to claim 1, wherein: Determining, according to at least one of the first measurement data in the Peiqu system and the user's instruction, an operation to be performed by the Peiqu system includes: The operation that the teasing system needs to perform is determined based on the teasing parameters corresponding to the current stage of the teasing system and the first measurement data.

6. The control method according to claim 5, wherein: Determining the operation to be performed by the teasing system according to the teasing parameter corresponding to the current stage of the teasing system and the first measurement data includes: Determining the abnormality type in the teasing system according to the teasing parameter and the first measurement data; According to the exception type, determine the operation to be performed.

7. The control method according to claim 6, wherein: The abnormality type includes abnormal temperature, abnormal humidity, and abnormal carbon dioxide concentration. The brewing parameter includes at least one of a temperature range, a temperature difference threshold, a temperature change rate range, a humidity range, and a carbon dioxide concentration range. According to the brewing parameter and the first measurement data, determining the abnormality type in the brewing system includes: When the temperature in the first measurement data exceeds the temperature range, or the temperature change rate exceeds the temperature change rate range, or the temperature difference between adjacent layers of the koji is greater than the temperature difference threshold, determining that the abnormality type is a temperature abnormality; When the humidity in the first measurement data exceeds the humidity range, determining that the abnormality type is a humidity abnormality; When the carbon dioxide concentration in the first measurement data exceeds the carbon dioxide concentration range, the abnormality type is determined to be a carbon dioxide concentration abnormality.

8. The control method according to claim 7, wherein: According to the exception type, the operations to be performed include: In the case where the abnormality type is a temperature abnormality, determining that the operation to be performed includes at least one of opening windows for ventilation, closing windows for heat preservation, and turning on air conditioning; In the case where the abnormality type is abnormal humidity, determining that the operation to be performed includes at least one of opening a window for ventilation, turning on a humidifier, and turning on an air conditioner; When the abnormality type is abnormal carbon dioxide concentration, determining that the operation to be performed includes at least one of opening windows for ventilation and turning on air conditioning.

9. The control method according to claim 6, wherein: According to the exception type, the operations to be performed include: The operation to be performed is determined based on the abnormality type and the environmental data of the Peiqu system.

10. The control method according to claim 9, wherein: The environmental data of the tea-tea system includes the ambient temperature of the tea-tea system. According to the abnormality type and the environmental data of the tea-tea system, determining the operation to be performed includes: When the abnormality type is a temperature abnormality and the ambient temperature of the brewing system is greater than an ambient temperature threshold, determining that the operation to be performed includes turning on an air conditioner; When the abnormality type is a temperature abnormality and the ambient temperature of the Peiqu system is less than an ambient temperature threshold, it is determined that the operation to be performed includes opening windows for ventilation.

11. The control method according to claim 1, wherein: Determining, according to at least one of the first measurement data in the Peiqu system and the user's instruction, an operation to be performed by the Peiqu system includes: Generate a Peiqu history record based on the historical measurement data in the Peiqu system and the historical operation data corresponding to the historical measurement data; The operation to be performed by the teasing is determined according to the first measurement data and the teasing history record.

12. The control method according to claim 1, further comprising: According to the type of the operation, the second measurement data is acquired from a sensor corresponding to the type of the operation.

13. The control method according to claim 12, wherein: According to the type of the operation, acquiring the second measurement data from a sensor corresponding to the type of the operation includes: In a case where the type of the operation is a temperature-related operation, acquiring the second measurement data from a temperature sensor; In a case where the type of the operation is an operation related to humidity, acquiring the second measurement data from a humidity sensor; In a case where the type of operation is an operation related to carbon dioxide concentration, the second measurement data is acquired from a carbon dioxide sensor.

14. The control method according to claim 1, further comprising: When at least one of the energy consumption of the Peiqu system exceeds an energy threshold, an abnormality occurs in the Peiqu system, a current stage of the Peiqu system changes, and the Peiqu system performs a control operation, a reminder message is output.

15. A control device comprising: A determination module, configured to determine an operation to be performed by the Peiqu system according to at least one of the first measurement data in the Peiqu system and the user's instruction; An execution module, configured to control the execution module in the Peiqu system to perform the operation; A judgment module configured to judge whether the result of the operation achieves the control target according to second measurement data in the Peiqu system, wherein the second measurement data is obtained after controlling the execution module to execute the operation; The control module is configured to control the brewing system corresponding to the operation according to the result of the judgment.

16. A control device comprising: Memory; as well as A processor coupled to the memory, wherein the processor is configured to execute the control method according to any one of claims 1 to 14 based on instructions stored in the memory.

17. A computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the control method according to any one of claims 1 to 14 is implemented.

18. A computer program product, when the computer program product is run on a computer, enables the computer to implement the control method according to any one of claims 1 to 14.

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