Cellulase activity detection device and method
By designing a cellulase activity detection device including a spoiler mechanism and an accurate temperature control device, the problem of inaccurate temperature control in the prior art is solved and the detection accuracy is improved.
Patent Information
- Application Number
- CN202510065401.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-16
- Publication Date
- 2025-04-15
AI Technical Summary
The prior art is difficult to accurately control the temperature in cellulase activity detection, resulting in inaccurate detection.
A cellulase activity detection device is designed, including a first box, a second box and a temperature control device. The air supply volume and air supply temperature are accurately controlled by the spoiler mechanism and the controller to keep the temperature in the second box within the preset range.
By accurately controlling the temperature, the accuracy of cellulase activity detection is improved and the accuracy of the detection results is ensured.
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Figure CN119823864A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of enzyme activity detection, and in particular to a device and method for detecting cellulase activity. Background Art
[0002] Cellulose is the most abundant and renewable biopolymer on earth. Due to its complex structure, it is difficult for any single enzyme to hydrolyze it efficiently. There are many methods for measuring cellulase activity, mainly because the substrates of cellulase are relatively complex and the reaction products are different. In recent years, with the rapid development of various interdisciplinary subjects, research in related fields such as biochemistry, molecular biology and genetic engineering has promoted the emergence of more and newer cellulase activity determination and kinetic research methods. Usually, a complete cellulase system is composed of three types of enzymes that have different modes of action but can synergistically catalyze the hydrolysis of cellulose: endo-glucosidases, which act on the non-crystalline region inside the cellulose molecule; exoglucosidases, also known as cellobiohydrolases, which act on the ends of cellulose linear molecules; β-glucosidases, which hydrolyze cellobiose into glucose molecules. Cellulase belongs to glycoside hydrolase. With the emergence of various catalytic residue identification methods and the increasing research on the amino acid sequence and 3D structure of glycoside hydrolases, a new glycoside hydrolase classification method established based on the similarity of amino acid sequences divides glycoside hydrolases into 111 families, of which cellulase accounts for 16 families. However, the activity of the enzyme is different under different temperature conditions. In the existing technology, it is difficult to accurately control the temperature in the activity detection of cellulase, resulting in inaccurate activity detection of cellulase. Summary of the invention
[0003] The invention overcomes the shortcomings of the prior art and provides a cellulase activity detection device and method.
[0004] To achieve the above object, the technical solution adopted by the present invention is:
[0005] The first aspect of the present invention provides a cellulase activity detection device, comprising:
[0006] The first box,
[0007] a second box installed inside the first box, and a temperature control device installed on the side of the first box, and connected to the second box through a pipeline via the temperature control device;
[0008] A spoiler mechanism is provided in the second box, and the spoiler mechanism disturbs the wind of a preset temperature provided by the temperature control device to keep the temperature in the second box within a preset temperature threshold range;
[0009] A controller is used to control the air supply volume and air supply temperature provided by the temperature control device.
[0010] Furthermore, in the cellulase activity detection device, an exhaust port is installed on the second box body, an exhaust pipe is installed at the exhaust port, and an exhaust valve is installed on a section of the exhaust pipe.
[0011] Furthermore, in the cellulase activity detection device, an automatic control valve is installed on one end of the pipeline, and the controller controls the automatic control valve to adjust the air supply volume.
[0012] Furthermore, in the cellulase activity detection device, the temperature control device includes spoiler blocks installed at the upper and lower ends of the second box, a through hole is opened inside the spoiler block, and the spoiler mechanism is installed above the through hole.
[0013] Furthermore, in the cellulase activity detection device, the spoiler mechanism is installed at the upper and lower ends of the through hole, wherein the spoiler mechanism at the upper end includes a rotatable first spoiler rod and a first spoiler rod arranged on the rotatable first spoiler rod, wherein the spoiler mechanism at the upper end includes a rotatable second spoiler rod and a second spoiler rod arranged on the rotatable second spoiler rod.
[0014] A second aspect of the present invention provides a control method for a cellulase activity detection device, which is applied to any of the cellulase activity detection devices described above, and comprises the following steps:
[0015] Acquire the air supply volume variation characteristic data of the temperature control device under different working parameters during the service process, and construct an air supply volume prediction model of the temperature control device according to the air supply volume variation characteristic data of the temperature control device under different working parameters during the service process;
[0016] Predicting the air supply volume data of the temperature control device at the current timestamp by using the air supply volume prediction model of the temperature control device;
[0017] Setting cellulase activity detection requirement information and setting working parameters of a temperature control device, controlling the temperature control device according to the working parameters of the temperature control device, obtaining temperature information in the second box, performing temperature information recognition according to the cellulase activity detection requirement information and the temperature information in the second box, and obtaining a temperature information recognition result;
[0018] The temperature control device is controlled and optimized according to the temperature information identification result and the air supply volume data of the temperature control device at the current timestamp.
[0019] Furthermore, in the control method of the cellulase activity detection device, the air supply volume change characteristic data of the temperature control device under different working parameters during the service process are obtained, and the air supply volume prediction model of the temperature control device is constructed according to the air supply volume change characteristic data of the temperature control device under different working parameters during the service process, which specifically includes:
[0020] Based on the deep neural network, an air supply volume prediction model for the temperature control device is constructed, and the air supply volume change characteristic data of the temperature control device under different working parameters during service are obtained;
[0021] Setting a training rate and a training stop condition, inputting the air supply volume change characteristic data of the temperature control device under different working parameters during service into the air supply volume prediction model of the temperature control device for training;
[0022] Training the air supply volume prediction model of the temperature control device at the training rate, and determining whether the air supply volume prediction model of the temperature control device has reached a stop condition at each time point during the training process;
[0023] When the air supply volume prediction model of the temperature control device reaches a stopping condition during the training process, the air supply volume prediction model of the temperature control device stops, and the model parameters of the air supply volume prediction model of the temperature control device are saved.
[0024] Furthermore, in the control method of the cellulase activity detection device, the air supply volume data of the temperature control device at the current timestamp is predicted by the air supply volume prediction model of the temperature control device, specifically including:
[0025] Acquire the air supply volume variation characteristic data under different working parameters of the temperature control device during service within a preset time, and input the air supply volume variation characteristic data under different working parameters of the temperature control device during service within the preset time into the air supply volume prediction model of the temperature control device for prediction;
[0026] By prediction, the air supply volume characteristic data of the temperature control device under different working parameters at the current timestamp is obtained, and the real-time working parameters of the temperature control device are obtained;
[0027] The air supply volume data of the temperature control device at the current timestamp is obtained according to the air supply volume characteristic data of the temperature control device under different working parameters at the current timestamp and the real-time working parameters of the temperature control device.
[0028] Furthermore, in the control method of the cellulase activity detection device, the temperature information in the second box is obtained, the temperature information is identified according to the cellulase activity detection requirement information and the temperature information in the second box, and the temperature information identification result is obtained, which specifically includes:
[0029] Acquiring temperature information in the second box, and determining whether the temperature information in the second box is within the cellulase activity detection requirement information;
[0030] When the temperature information in the second box is within the cellulase activity detection requirement information, a normal temperature information recognition result is generated;
[0031] When the temperature information in the second box is within the cellulase activity detection requirement information, an abnormal temperature information identification result is generated.
[0032] Furthermore, in the control method of the cellulase activity detection device, the temperature control device is controlled and optimized according to the temperature information recognition result and the air supply volume data of the temperature control device in the current timestamp, specifically including:
[0033] Acquire abnormal temperature information identification results, calculate temperature deviation according to the abnormal temperature information identification results, and reinitialize air supply volume data of the temperature control device at the current timestamp according to the temperature deviation;
[0034] Performing a time series control on the current temperature control device according to the air supply volume data of the temperature control device at the current timestamp to determine whether there is still an abnormal temperature information recognition result;
[0035] When an abnormal temperature information identification result still appears, re-changing the air supply volume data of the temperature control device at the current timestamp until the abnormal temperature information identification result no longer appears;
[0036] When there is no abnormal temperature information recognition result, the temperature control device is controlled according to the air supply volume data of the temperature control device at the current timestamp.
[0037] The present invention solves the defects existing in the background technology and has the following beneficial effects:
[0038] The present invention obtains the air supply volume change characteristic data of the temperature control device under different working parameters during the service process, and constructs the air supply volume prediction model of the temperature control device according to the air supply volume change characteristic data of the temperature control device under different working parameters during the service process, and then predicts the air supply volume data of the temperature control device in the current timestamp through the air supply volume prediction model of the temperature control device, thereby setting the cellulase activity detection demand information, setting the working parameters of the temperature control device, controlling the temperature control device according to the working parameters of the temperature control device, obtaining the temperature information in the second box, performing temperature information recognition according to the cellulase activity detection demand information and the temperature information in the second box, obtaining the temperature information recognition result, and finally controlling and optimizing the temperature control device according to the temperature information recognition result and the air supply volume data of the temperature control device in the current timestamp. The present invention can better control and detect the activity of cellulase by setting the spoiler mechanism and the temperature control device, thereby improving the detection accuracy of the cellulase activity. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.
[0040] Figure 1 The overall structure schematic diagram of the cellulase activity detection device is shown;
[0041] Figure 2 A schematic diagram of the side structure of a cellulase activity detection device is shown;
[0042] Figure 3 A schematic cross-sectional structure diagram of a cellulase activity detection device is shown.
[0043] In the figure:
[0044] 1. a first housing, 2. a second housing, 3. a temperature control device, 4. a spoiler mechanism, 5. a controller, 6. an exhaust pipe, 7. an exhaust valve, 8. a pipeline, 9. an automatic control valve, 301. a spoiler block, 302. a spoiler mechanism, 3011. a through hole, 3021. a first spoiler rod, 3022. a first spoiler rod, 3023. a second spoiler rod, 3024. a second spoiler rod. DETAILED DESCRIPTION
[0045] In order to more clearly understand the above-mentioned purposes, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the structures related to the present invention. It should be noted that the embodiments in this application and the features in the embodiments can be combined with each other without conflict.
[0046] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the scope of protection of the present application. In addition, the terms "first", "second", etc. are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, features defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of the invention, unless otherwise specified, "multiple" means two or more.
[0047] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood by specific circumstances.
[0048] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. The preferred embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thoroughly understood.
[0049] like Figure 1-3As shown, the first aspect of the present invention provides a cellulase activity detection device, comprising: a first box body 1, a second box body 2 installed inside the first box body 1, and a temperature control device 3 installed on the side of the first box body 1, and connected to the second box body 2 through a pipeline 8 via the temperature control device 3; a spoiler mechanism 4 is arranged in the second box body 2, and the spoiler mechanism 4 disturbs the wind of a preset temperature provided by the temperature control device to keep the temperature in the second box body 2 within a preset temperature threshold range; a controller 5, which controls the air supply volume and air supply temperature provided by the temperature control device 3 through the controller 5.
[0050] It should be noted that the experimental sample to be tested (cellulase and related substances to be decomposed) is placed in the second box 2 (below 3024 in the figure), and the gas at a preset temperature is delivered through the temperature control device 3 through the pipeline 8, so that the temperature in the second box 2 is within the preset temperature threshold range. The controller can be a PLC controller, a computer control terminal, etc.
[0051] Furthermore, in the cellulase activity detection device, an exhaust port is installed on the second box body 2, an exhaust pipe 6 is installed at the exhaust port, and an exhaust valve 7 is installed on a section of the exhaust pipe.
[0052] It should be noted that the exhaust pipe 6 is controlled by opening and closing the exhaust valve 7, so that the air pressure in the second box is controlled to be maintained within a predetermined range.
[0053] Furthermore, in the cellulase activity detection device, an automatic control valve 9 is installed on one end of the pipeline 8, and the automatic control valve 9 is controlled by the controller 5 to adjust the air supply volume.
[0054] It should be noted that the air supply volume is controlled by automatically controlling the size of the valve 9 through the switch.
[0055] Furthermore, in the cellulase activity detection device, the temperature control device 3 includes spoiler blocks 301 installed at the upper and lower ends of the second box body 2, a through hole 3011 is opened inside the spoiler block 301, and a spoiler mechanism 302 is installed above the through hole 3011.
[0056] Furthermore, in the cellulase activity detection device, the spoiler mechanism 302 is installed at the upper and lower ends of the through hole, wherein the spoiler mechanism 302 at the upper end includes a rotatable first spoiler rod 3021, and a first spoiler rod 3022 arranged on the rotatable first spoiler rod 3021, wherein the spoiler mechanism 302 at the upper end includes a rotatable second spoiler rod 3023, and a second spoiler rod 3024 arranged on the rotatable second spoiler rod 3023.
[0057] It should be noted that after the wind of the preset temperature enters the interior of the second box body 2, the spoiler mechanism 302 at the upper and lower ends of the through hole is driven, such as by driving the rotatable first spoiler bar 3021 and the second spoiler bar 3023 through a motor, thereby driving the first spoiler bar 3022 and the second spoiler bar 3024, so that the air at the upper and lower ends of the second box body 2, when the wind of the preset temperature enters the second box body 2, the wind speed of the wind entering the second box body 2 is reduced, convection is formed, and the wind slowly enters the second box body 2, thereby avoiding a large temperature difference in the second box body 2 and improving the detection accuracy of the cellulase activity. After the experimental object has been placed for a certain period of time, a standard curve can be made using a standard glucose solution, and color development is performed by the DNS method. For reducing sugars such as glucose generated by the degradation of endoglucosidase and CMC-Na, the amount of enzyme required to generate 1 μmol of glucose per minute is defined as one enzyme activity unit, and the actual activity of the cellulase is calculated.
[0058] A second aspect of the present invention provides a control method for a cellulase activity detection device, which is applied to any cellulase activity detection device, and comprises the following steps:
[0059] Acquire the air supply volume variation characteristic data of the temperature control device under different working parameters during the service process, and construct an air supply volume prediction model of the temperature control device according to the air supply volume variation characteristic data of the temperature control device under different working parameters during the service process;
[0060] Predicting the air supply volume data of the temperature control device at the current timestamp by using the air supply volume prediction model of the temperature control device;
[0061] Setting cellulase activity detection requirement information and setting working parameters of the temperature control device, controlling the temperature control device according to the working parameters of the temperature control device, obtaining temperature information in the second box, performing temperature information recognition according to the cellulase activity detection requirement information and the temperature information in the second box, and obtaining a temperature information recognition result;
[0062] The temperature control device is controlled and optimized according to the temperature information recognition result and the air supply volume data of the temperature control device at the current timestamp.
[0063] It should be noted that, in fact, after the temperature control device has been used for a certain number of years, due to the degradation of the equipment, the air supply volume will degrade under different working parameters (such as the fan speed and fan power). The longer the years of use, the lower the air supply volume per unit time will be. This method can further optimize the temperature control of the detection device, thereby improving the accuracy of cellulase activity detection.
[0064] Furthermore, in the control method of the cellulase activity detection device, the air supply volume change characteristic data of the temperature control device under different working parameters during the service process are obtained, and the air supply volume prediction model of the temperature control device is constructed according to the air supply volume change characteristic data of the temperature control device under different working parameters during the service process, which specifically includes:
[0065] Based on the deep neural network, an air supply volume prediction model for the temperature control device is constructed, and the air supply volume change characteristic data of the temperature control device under different working parameters during service are obtained;
[0066] Setting the training rate and training stop condition, inputting the air supply volume change characteristic data of the temperature control device under different working parameters during the service process into the air supply volume prediction model of the temperature control device for training;
[0067] Training the air supply volume prediction model of the temperature control device according to the training rate, and determining whether the air supply volume prediction model of the temperature control device has reached a stop condition at each time point during the training process;
[0068] When the air supply volume prediction model of the temperature control device reaches a stop condition during the training process, the air supply volume prediction model of the temperature control device stops, and the model parameters of the air supply volume prediction model of the temperature control device are saved.
[0069] It should be noted that deep neural networks include convolutional neural networks, long short-term memory neural networks, recursive neural networks, multi-layer perceptron neural networks, etc.
[0070] Furthermore, in the control method of the cellulase activity detection device, the air supply volume data of the temperature control device at the current timestamp is predicted by the air supply volume prediction model of the temperature control device, specifically including:
[0071] Acquire the air volume variation characteristic data of the temperature control device under different working parameters during the service process within a preset time, and input the air volume variation characteristic data of the temperature control device under different working parameters during the service process within the preset time into the air volume prediction model of the temperature control device for prediction;
[0072] By prediction, the air supply volume characteristic data of the temperature control device under different working parameters at the current timestamp is obtained, and the real-time working parameters of the temperature control device are obtained;
[0073] The air supply volume data of the temperature control device at the current timestamp is obtained according to the air supply volume characteristic data of the temperature control device under different working parameters at the current timestamp and the real-time working parameters of the temperature control device.
[0074] Furthermore, in the control method of the cellulase activity detection device, the temperature information in the second box is obtained, the temperature information is identified according to the cellulase activity detection requirement information and the temperature information in the second box, and the temperature information identification result is obtained, which specifically includes:
[0075] Acquire the temperature information in the second box, and determine whether the temperature information in the second box is within the required information for cellulase activity detection;
[0076] When the temperature information in the second box is within the cellulase activity detection requirement information, a normal temperature information recognition result is generated;
[0077] When the temperature information in the second box is within the cellulase activity detection requirement information, an abnormal temperature information identification result is generated.
[0078] Furthermore, in the control method of the cellulase activity detection device, the temperature control device is controlled and optimized according to the temperature information recognition result and the air supply volume data of the temperature control device in the current timestamp, specifically including:
[0079] Acquire abnormal temperature information identification results, calculate temperature deviation according to the abnormal temperature information identification results, and reinitialize air supply volume data of the temperature control device at the current timestamp according to the temperature deviation;
[0080] Perform a time series control on the current temperature control device according to the air supply volume data of the temperature control device at the current timestamp to determine whether there is still an abnormal temperature information recognition result;
[0081] When an abnormal temperature information identification result still appears, the air supply volume data of the temperature control device at the current timestamp is changed again until the abnormal temperature information identification result no longer appears;
[0082] When there is no abnormal temperature information recognition result, the temperature control device is controlled according to the air supply volume data of the temperature control device at the current timestamp.
[0083] It should be noted that this method can optimize the temperature control of the detection device, thereby improving the accuracy of cellulase activity detection.
[0084] In addition, the method further comprises:
[0085] Acquire the activity detection accuracy of cellulase in the current area by the cellulase activity detection device within a preset time, and construct a database to store the activity detection accuracy of cellulase in the current area by the cellulase activity detection device within the preset time in the database;
[0086] Obtaining the current cellulase activity detection accuracy requirement information, and obtaining the cellulase activity detection accuracy of each cellulase activity detection device within a preset time through the database, and initializing the candidate cellulase activity detection device;
[0087] Obtaining the cellulase activity detection accuracy of the candidate working cellulase activity detection device within a preset time, if the cellulase activity detection accuracy of the candidate working cellulase activity detection device within the preset time is greater than the current cellulase activity detection accuracy requirement information, outputting the candidate working cellulase activity detection device as the optimized working cellulase activity detection device;
[0088] If the cellulase activity detection accuracy of the candidate working cellulase activity detection device is not greater than the current cellulase activity detection accuracy requirement information within the preset time, the candidate working cellulase activity detection device is reconfigured until it is greater than the current cellulase activity detection accuracy requirement information.
[0089] It should be noted that this method can improve the rationality of cellulase activity detection.
[0090] In summary, the present invention obtains the air supply volume change characteristic data of the temperature control device under different working parameters during the service process, and constructs the air supply volume prediction model of the temperature control device according to the air supply volume change characteristic data of the temperature control device under different working parameters during the service process, and then predicts the air supply volume data of the temperature control device in the current timestamp through the air supply volume prediction model of the temperature control device, thereby setting the cellulase activity detection demand information, setting the working parameters of the temperature control device, controlling the temperature control device according to the working parameters of the temperature control device, obtaining the temperature information in the second box, performing temperature information recognition according to the cellulase activity detection demand information and the temperature information in the second box, obtaining the temperature information recognition result, and finally controlling and optimizing the temperature control device according to the temperature information recognition result and the air supply volume data of the temperature control device in the current timestamp. The present invention can better control and detect the activity of cellulase by setting the spoiler mechanism and the temperature control device, thereby improving the detection accuracy of the cellulase activity.
[0091] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.
[0092] The above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the aforementioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the aforementioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application. They should all be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
Claims
1. A cellulase activity detection device, characterized in that: include: The first box, a second box installed inside the first box, and a temperature control device installed on the side of the first box, and connected to the second box through a pipeline via the temperature control device; A spoiler mechanism is provided in the second box, and the spoiler mechanism disturbs the wind of a preset temperature provided by the temperature control device to keep the temperature in the second box within a preset temperature threshold range; A controller is used to control the air supply volume and air supply temperature provided by the temperature control device.
2. A cellulase activity detection device according to claim 1, characterized in that: The second box body is also provided with an exhaust port, an exhaust pipe is provided at the exhaust port, and an exhaust valve is provided on a section of the exhaust pipe.
3. A cellulase activity detection device according to claim 1, characterized in that: An automatic control valve is also installed on one end of the pipeline, and the controller controls the automatic control valve to adjust the air supply volume.
4. A cellulase activity detection device according to claim 1, characterized in that: The temperature control device includes spoiler blocks installed at the upper and lower ends of the second box, a through hole is opened inside the spoiler block, and the spoiler mechanism is installed above the through hole.
5. A cellulase activity detection device according to claim 4, characterized in that: The spoiler mechanism is installed at the upper and lower ends of the through hole, wherein the spoiler mechanism at the upper end includes a rotatable first spoiler rod and a first spoiler rod arranged on the rotatable first spoiler rod, wherein the spoiler mechanism at the upper end includes a rotatable second spoiler rod and a second spoiler rod arranged on the rotatable second spoiler rod.
6. A control method for a cellulase activity detection device, characterized in that: The cellulase activity detection device used in any one of claims 1 to 5 comprises the following steps: Acquire the air supply volume variation characteristic data of the temperature control device under different working parameters during the service process, and construct an air supply volume prediction model of the temperature control device according to the air supply volume variation characteristic data of the temperature control device under different working parameters during the service process; Predicting the air supply volume data of the temperature control device at the current timestamp by using the air supply volume prediction model of the temperature control device; Setting cellulase activity detection requirement information and setting working parameters of a temperature control device, controlling the temperature control device according to the working parameters of the temperature control device, obtaining temperature information in the second box, performing temperature information recognition according to the cellulase activity detection requirement information and the temperature information in the second box, and obtaining a temperature information recognition result; The temperature control device is controlled and optimized according to the temperature information identification result and the air supply volume data of the temperature control device at the current timestamp.
7. The control method of a cellulase activity detection device according to claim 6, characterized in that: Acquiring the air volume variation characteristic data of the temperature control device under different working parameters during the service process, and constructing the air volume prediction model of the temperature control device according to the air volume variation characteristic data of the temperature control device under different working parameters during the service process, specifically including: Based on the deep neural network, an air supply volume prediction model for the temperature control device is constructed, and the air supply volume change characteristic data of the temperature control device under different working parameters during service are obtained; Setting a training rate and a training stop condition, inputting the air supply volume change characteristic data of the temperature control device under different working parameters during service into the air supply volume prediction model of the temperature control device for training; Training the air supply volume prediction model of the temperature control device at the training rate, and determining whether the air supply volume prediction model of the temperature control device has reached a stop condition at each time point during the training process; When the air supply volume prediction model of the temperature control device reaches a stopping condition during the training process, the air supply volume prediction model of the temperature control device stops, and the model parameters of the air supply volume prediction model of the temperature control device are saved.
8. The control method of a cellulase activity detection device according to claim 6, characterized in that: Predicting the air supply volume data of the temperature control device at the current timestamp by using the air supply volume prediction model of the temperature control device specifically includes: Acquire the air supply volume variation characteristic data under different working parameters of the temperature control device during service within a preset time, and input the air supply volume variation characteristic data under different working parameters of the temperature control device during service within the preset time into the air supply volume prediction model of the temperature control device for prediction; By prediction, the air supply volume characteristic data of the temperature control device under different working parameters at the current timestamp is obtained, and the real-time working parameters of the temperature control device are obtained; The air supply volume data of the temperature control device at the current timestamp is obtained according to the air supply volume characteristic data of the temperature control device under different working parameters at the current timestamp and the real-time working parameters of the temperature control device.
9. The control method of a cellulase activity detection device according to claim 6, characterized in that: Acquiring temperature information in the second box, performing temperature information recognition according to the cellulase activity detection requirement information and the temperature information in the second box, and obtaining a temperature information recognition result, specifically including: Acquiring temperature information in the second box, and determining whether the temperature information in the second box is within the cellulase activity detection requirement information; When the temperature information in the second box is within the cellulase activity detection requirement information, a normal temperature information recognition result is generated; When the temperature information in the second box is within the cellulase activity detection requirement information, an abnormal temperature information identification result is generated.
10. The control method of a cellulase activity detection device according to claim 6, characterized in that: The temperature control device is controlled and optimized according to the temperature information recognition result and the air supply volume data of the temperature control device at the current timestamp, specifically including: Acquire abnormal temperature information identification results, calculate temperature deviation according to the abnormal temperature information identification results, and reinitialize air supply volume data of the temperature control device at the current timestamp according to the temperature deviation; Performing a time series control on the current temperature control device according to the air supply volume data of the temperature control device at the current timestamp to determine whether there is still an abnormal temperature information recognition result; When an abnormal temperature information identification result still occurs, the air supply volume data of the temperature control device at the current timestamp is changed again until the abnormal temperature information identification result no longer occurs; When there is no abnormal temperature information recognition result, the temperature control device is controlled according to the air supply volume data of the temperature control device at the current timestamp.