Hyperspectral technology-based device and method for detecting internal fermentation state of white spirit koji
阅读说明:本技术 基于高光谱技术白酒曲块内部发酵状态检测装置及方法 (Hyperspectral technology-based device and method for detecting internal fermentation state of white spirit koji ) 是由 黄丹平 董娜 田建平 黄丹 罗惠波 于少东 胡新军 叶建秋 于 2019-10-30 设计创作,主要内容包括:本发明公开一种基于高光谱技术白酒曲块内部发酵状态检测装置及方法。该方法包括:实时获取曲块表面高光谱数据,并以表面高光谱数据作为判断曲块内外部发酵状态的依据;对曲块图像与光谱信息综合处理,得到特定点曲块高光谱数据;将数据库中所获得最优特定波段曲块高光谱数据与特定点曲块高光谱数据相结合,通过深度学习得到特定波段曲块表面高光谱数据;获取曲房发酵环境参数;判断特定波段曲块表面高光谱数据是否为新的高光谱数据类型;若是,则实时更新所建立最优非线性预测数学模型并存储数据;若否,则直接根据最优非线性预测数学模型判断曲块内部发酵状态。本发明能够实现曲块固态发酵实时测量功能。(The invention discloses a device and a method for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology. The method comprises the following steps: acquiring hyperspectral data of the surface of the koji block in real time, and taking the hyperspectral data of the surface as a basis for judging the internal and external fermentation states of the koji block; comprehensively processing the curved block image and the spectral information to obtain hyperspectral data of the curved block at a specific point; combining the hyperspectral data of the optimal curved block with the specific curved block in the database, and obtaining the hyperspectral data of the surface of the curved block with the specific wave band through deep learning; acquiring fermentation environment parameters of a koji room; judging whether the hyperspectral data on the surface of the curved block in the specific waveband is a new hyperspectral data type; if yes, updating the established optimal nonlinear prediction mathematical model in real time and storing data; if not, directly judging the internal fermentation state of the koji block according to the optimal nonlinear prediction mathematical model. The invention can realize the real-time measurement function of the solid fermentation of the koji blocks.)
1. The utility model provides an inside fermentation state detection device of bent piece of white spirit based on high spectrum technique which characterized in that includes: the system comprises a motion control system, a koji block hyperspectral data acquisition system, a real-time transmission processing system, a sensor and a central control system, wherein the motion control system is used for sending the koji block hyperspectral data acquisition system to a designated position of a koji block to be detected, the koji block hyperspectral data acquisition system is connected with the motion control system, the koji block hyperspectral data acquisition system is used for acquiring hyperspectral data of various material components in the surface of a fermented koji block in real time, the real-time transmission processing system is respectively connected with the koji block hyperspectral data acquisition system and the central control system, the real-time transmission processing system is used for sending the hyperspectral data of various material components in the surface of the koji block acquired by the koji block hyperspectral data acquisition system to the central control system, and the central control system is used for receiving the hyperspectral data of various material components, the sensor is used for collecting fermentation environment parameters of the koji room, the sensor is connected with the central control system, and the central control system is used for judging the internal fermentation state of the koji blocks according to various high spectrum data of the material components and the fermentation environment parameters of the koji room.
2. The device for detecting the internal fermentation state of the koji blocks of white spirit based on the hyperspectral technology according to claim 1, characterized in that the motion control system comprises a manipulator, a guide rail, a tractor, an embedded industrial personal computer and an industrial camera, wherein the guide rail is arranged above the koji room, the tractor is positioned on the guide rail, the manipulator is arranged on the tractor, the embedded industrial personal computer is arranged on the collection system, the manipulator grabs the koji blocks of different layers of koji racks to be detected in the koji room through the embedded industrial personal computer and places the koji blocks on a rotating sample stage of the koji block hyperspectral data collection system, the industrial camera is arranged at the tail end of the manipulator, the industrial camera is used for collecting the distance between the tail end of the manipulator and the koji room in real time, and the embedded industrial personal computer is respectively connected with the manipulator, the tractor and the industrial camera, the embedded industrial personal computer is used for controlling the motion of the manipulator, controlling the motion of the tractor and receiving the distance information between the tail end of the manipulator and the curved house.
3. The device for detecting the internal fermentation state of the white spirit koji block based on the hyperspectral technology according to claim 2, wherein the koji block hyperspectral data acquisition system comprises a hyperspectral camera, a lead screw sliding table, a rotary sample table, a dehumidifying device, an embedded industrial personal computer, a 5G sending module and a motor, the hyperspectral camera is arranged on the lead screw sliding table, and the lead screw sliding table is controlled by the motor to drive the hyperspectral camera to move; the rotating sample table is arranged below the hyperspectral camera and used for placing the manipulator to grab a curved block to be detected; the dehumidifying devices are arranged on two sides of the hyperspectral camera and are used for reducing the influence of water vapor on the hyperspectral camera lens and a precision instrument during data acquisition; the hyperspectral camera is connected with the embedded industrial personal computer, the embedded industrial personal computer is used for receiving hyperspectral data of various substance components on the surface of the curved block collected by the hyperspectral camera, the embedded industrial personal computer is connected with the 5G sending module, and the 5G sending module is connected with the real-time transmission processing system.
4. The device for detecting the internal fermentation state of the white spirit koji block based on the hyperspectral technology according to claim 1, wherein the real-time transmission processing system adopts a 5G data communication system, the 5G data communication system is connected with the koji block hyperspectral data acquisition system, and the 5G data communication system is used for sending hyperspectral data of various material components on the surface of the koji block acquired by the koji block hyperspectral data acquisition system to the central control system.
5. The utility model provides a method for detecting the internal fermentation state of white spirit koji based on hyperspectral technique, the detection method introduces the hyperspectral technique into the internal fermentation state of online nondestructive test white spirit koji, obtains the surperficial hyperspectral data of koji of specific wave band through degree of deep learning and judges the internal and external fermentation state of koji, which is characterized in that includes:
collecting surface hyperspectral data of the koji blocks fermented in different areas at different periods in real time, and taking the surface hyperspectral data as a basis for judging the internal and external fermentation states of the koji blocks;
processing image and spectrum information of the hyperspectral data on the surface of the curved block to obtain hyperspectral data of the curved block at a specific point;
acquiring hyperspectral data of an optimal specific waveband curved block from a database;
combining the hyperspectral data of the specific-point curved block with the hyperspectral data of the optimal specific-wave-band curved block, and obtaining hyperspectral data of the surface of the specific-wave-band curved block by a deep learning method;
acquiring fermentation environment parameters of a koji room;
judging whether the hyperspectral data on the surface of the curved block with the specific waveband is a new hyperspectral data type;
if yes, updating the established optimal nonlinear prediction mathematical model in real time according to the high spectral data on the surface of the curved block with the specific wave band and the fermentation environment parameters of the curved chamber, and automatically storing the high spectral data on the surface of the curved block with the specific wave band into a database;
if not, the mathematical model is not updated, and an optimal nonlinear prediction mathematical model is established according to the hyperspectral data on the surface of the koji block of the specific waveband and the fermentation environment parameters of the koji chamber by direct application;
and judging the internal fermentation state of the koji block according to the optimal nonlinear predictive mathematical model, and controlling the fermentation environment parameters of the koji block according to the internal fermentation state of the koji block.
6. The hyperspectral-technology-based detection method for the internal fermentation state of the white spirit koji block according to claim 5, wherein the automatic storage of the hyperspectral data on the surface of the koji block of the specific waveband in a database specifically comprises:
the database performs insertion and modification operations on the hyperspectral data on the surfaces of the koji blocks collected in real time through a relevant learning algorithm according to the growth change rule of microorganisms and the fermentation environment state of the koji room in the koji block fermentation process, so that online real-time intelligent storage of the hyperspectral data in a typical fermentation state is realized;
and storing hyperspectral data of a typical fermentation state according to the intelligence, and automatically updating database information of different types of material components in different koji rooms in the koji block fermentation process.
7. The hyperspectral-technology-based detection method of the internal fermentation state of the white spirit koji blocks according to claim 5, wherein the real-time updating of the established optimal nonlinear predictive mathematical model specifically comprises:
updating the established optimal nonlinear prediction mathematical model in real time according to the new curve block surface hyperspectral data; with the increase of detection time and the data of the detected koji blocks, the detection method has an online real-time learning function and can automatically optimize a prediction data model, and the intelligence of the detection system for the fermentation state in the koji blocks is gradually improved.
Technical Field
The invention relates to the field of brewing solid state fermentation, in particular to a device and a method for detecting the internal fermentation state of a white spirit yeast block based on a hyperspectral technology.
Background
The white spirit is unique distilled spirit in China and has twelve major fragrance types at present. By virtue of the special brewing process, the method is popular with Chinese people. The yeast blocks are souls of the brewing process, are leavens for solid brewing, play a key role in the brewing and fermentation process, and directly influence the quality of the white spirit due to the quality of the yeast blocks. In the modern starter propagation process, the fermentation quality of the starter block is still judged according to manual experience, subjective influence exists, the manual intervention degree is high, the quality fluctuation is large, no quantitative standard exists, no data record for analyzing the starter block quality exists, and the labor cost is high; in order to solve the problems, the improvement of quality detection and nondestructive detection of fermented koji blocks becomes the development of the fermentation, but at present, research results and related patents in the aspect of online nondestructive detection of fermentation of white spirit koji blocks at home and abroad are not available, and particularly, in the aspect of rapid nondestructive detection of fermentation of hyperspectral white spirit koji blocks, a method for comprehensively detecting and controlling the fermentation state and quality in the koji blocks by applying a hyperspectral technology is not available according to the referred documents. Therefore, a device and a method for detecting the internal fermentation state of the white spirit koji block based on the hyperspectral technology are urgently needed to solve the problems.
Disclosure of Invention
The invention aims to provide a device and a method for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology, which are used for detecting the internal fermentation state of the white spirit koji block according to surface information of the koji block, can quickly acquire surface hyperspectral data of the white spirit koji block fermented in different areas at different periods in real time on the premise of not influencing the fermentation environment of a koji room and not damaging the fermentation of the koji block, realize the real-time measurement function of the solid state fermentation of the white spirit koji block and provide important feedback information for controlling the fermentation quality of the koji block.
In order to achieve the purpose, the invention provides the following scheme:
the utility model provides an inside fermentation state detection device of bent piece of white spirit based on high spectrum technique, includes: the system comprises a motion control system, a koji block hyperspectral data acquisition system, a real-time transmission processing system, a sensor and a central control system, wherein the motion control system is used for sending the koji block hyperspectral data acquisition system and a manipulator to a designated position of a koji block to be detected, the koji block hyperspectral data acquisition system is connected with the motion control system, the koji block hyperspectral data acquisition system is used for acquiring hyperspectral data of various material components in the surface of a fermented koji block in real time, the real-time transmission processing system is respectively connected with the koji block hyperspectral data acquisition system and the central control system, the real-time transmission processing system is used for sending the hyperspectral data of various material components in the surface of the koji block acquired by the koji block hyperspectral data acquisition system to the central control system, and the central control system is used for receiving the spectrographic data of various materials, the sensor is used for collecting fermentation environment parameters of the koji room, the sensor is connected with the central control system, and the central control system is used for judging the internal fermentation state of the koji blocks according to various high spectrum data of the material components and the fermentation environment parameters of the koji room.
Optionally, the motion control system comprises a manipulator, a guide rail, a tractor, an embedded industrial personal computer and an industrial camera, the guide rail is arranged above the bent room, the tractor is located on the guide rail, the manipulator is arranged on the tractor, the embedded industrial personal computer is arranged on the acquisition system, the manipulator grabs the bent blocks of different layers of the bent frame to be detected in the bent room through the embedded industrial personal computer and places the bent blocks on a rotary sample stage of the bent block hyperspectral data acquisition system, the industrial camera is arranged at the tail end of the manipulator, the industrial camera is used for acquiring the distance between the tail end of the manipulator and the bent room in real time, the embedded industrial personal computer is respectively connected with the manipulator, the tractor and the industrial camera, and the embedded industrial personal computer is used for controlling the motion of the manipulator, controlling the motion of the tractor, And receiving the distance information between the tail end of the manipulator and the bent room.
Optionally, the curved block hyperspectral data acquisition system comprises a hyperspectral camera, a lead screw sliding table, a rotary sample table, a dehumidifying device, an embedded industrial personal computer, a 5G sending module and a motor, wherein the hyperspectral camera is arranged on the lead screw sliding table, and the lead screw sliding table is controlled by the motor to drive the hyperspectral camera to move; the rotating sample table is arranged below the hyperspectral camera and used for placing the manipulator to grab a curved block to be detected; the dehumidifying devices are arranged on two sides of the hyperspectral camera and are used for reducing the influence of water vapor on the hyperspectral camera lens and a precision instrument during data acquisition; the hyperspectral camera is connected with the embedded industrial personal computer, the embedded industrial personal computer is used for receiving hyperspectral data of various substance components on the surface of the curved block collected by the hyperspectral camera, the embedded industrial personal computer is connected with the 5G sending module, and the 5G sending module is connected with the real-time transmission processing system.
Optionally, the real-time transmission processing system adopts a 5G data communication system, the 5G data communication system is connected with the koji block hyperspectral data acquisition system, and the 5G data communication system is used for sending the koji block surface various substance component spectral data acquired by the koji block hyperspectral data acquisition system to the central control system.
A method for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technique introduces the hyperspectral technique into the online nondestructive detection of the internal fermentation state of the white spirit koji block, and obtains the hyperspectral data on the surface of the koji block of a specific waveband through deep learning to judge the internal and external fermentation states of the koji block, the detection method comprises the following steps:
acquiring surface hyperspectral data of the koji blocks fermented in different areas at different periods in real time, and taking the acquired surface hyperspectral data as a basis for judging the internal and external fermentation states of the koji blocks;
performing image processing and spectral information processing on the hyperspectral data on the surface of the curved block to obtain hyperspectral data of the curved block at a specific point;
acquiring optimal specific wave band curved block image data from a database;
combining the hyperspectral data of the specific-point curved block with the hyperspectral data of the optimal specific-wave-band curved block, and obtaining hyperspectral data of the surface of the specific-wave-band curved block by a deep learning method;
acquiring fermentation environment parameters of a koji room;
judging whether the hyperspectral data on the surface of the curved block with the specific waveband is a new hyperspectral data type;
if yes, updating the established optimal nonlinear prediction mathematical model in real time according to the high spectral data on the surface of the curved block with the specific wave band and the fermentation environment parameters of the curved chamber, and automatically storing the high spectral data on the surface of the curved block with the specific wave band into a database;
if not, not updating the data model, directly applying the established optimal nonlinear prediction mathematical model according to the hyperspectral data on the surface of the koji block with the specific wave band and the fermentation environment parameters of the koji chamber;
and judging the internal fermentation state of the koji block according to the optimal nonlinear predictive mathematical model, and controlling the fermentation environment parameters of the koji block according to the internal fermentation state of the koji block.
Optionally, the automatic storage of the hyperspectral data on the surface of the curved block with the specific waveband in the database specifically includes:
the database performs insertion and modification operations on the hyperspectral data on the surfaces of the koji blocks collected in real time through a relevant learning algorithm according to the growth change rule of microorganisms and the fermentation environment state of the koji room in the koji block fermentation process, so that online real-time intelligent storage of the hyperspectral data in a typical fermentation state is realized;
and storing hyperspectral data of a typical fermentation state according to the intelligence, and automatically updating database information of different types of material components in different koji rooms in the koji block fermentation process.
Optionally, the step of updating the established optimal nonlinear predictive mathematical model in real time specifically includes:
updating the established optimal nonlinear prediction mathematical model in real time according to the new curve block surface hyperspectral data; with the increase of detection time and the data of the detected koji blocks, the detection method has an online real-time learning function and can automatically optimize a prediction data model, and the intelligence of the detection system for the fermentation state in the koji blocks is gradually improved.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention takes the hyperspectral data of the surface of the koji block collected in real time as the basis for judging the internal and external fermentation states of the koji block. The hyperspectral data of the koji blocks with the optimal specific wave bands obtained in the database are combined with the hyperspectral data of the specific points of the koji blocks collected in real time, and the hyperspectral data of the surfaces of the koji blocks with the specific wave bands are obtained through deep learning to judge the internal fermentation state of the koji blocks, so that the internal and external fermentation states and the quality of the koji blocks are comprehensively detected. The method for detecting the internal fermentation state of the white spirit koji block by the hyperspectral technology has an online real-time autonomous learning function, and has an intelligent database special for fermentation of solid brewing koji blocks, namely the database intelligently stores hyperspectral data of different types of koji block fermentation states by a related learning algorithm according to the growth change rule of microorganisms in the koji block fermentation process and the fermentation environment state of a koji room. With the increase of detection time and detection koji data, the detection method continuously updates the surface hyperspectral data of the koji fermentation state, updates the established optimal nonlinear mathematical model in real time according to the new koji hyperspectral data, automatically optimizes the prediction mathematical model, gradually improves the intelligence of the detection system of the koji internal fermentation state, and realizes the real-time online nondestructive detection of the internal fermentation state of the white spirit koji.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic diagram of a module of a device for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology;
FIG. 2 is a front view of a device for detecting the internal fermentation state of a white spirit koji block by a hyperspectral technique;
FIG. 3 is a top view of a device for detecting the internal fermentation state of a white spirit koji block by a hyperspectral technique;
FIG. 4 is a partial schematic view of a koji fermentation detection system;
FIG. 5 is a first schematic view of a curved block hyperspectral data acquisition system;
FIG. 6 is a second schematic diagram of a curved block hyperspectral data acquisition system;
FIG. 7 is a flow chart of a method for detecting the internal fermentation state of a white spirit koji block based on the hyperspectral technology;
FIG. 8 is a block diagram of an embedded curved block hyperspectral measurement and control system;
FIG. 9 is a flow chart of the internal fermentation detection of the hyperspectral yeast blocks.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a device and a method for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology, which are used for detecting the internal fermentation state of the white spirit koji block according to surface information of the koji block, can quickly acquire surface hyperspectral data of the white spirit koji block fermented in different areas at different periods in real time on the premise of not influencing the fermentation environment of a koji room and not damaging the fermentation of the koji block, realize the real-time measurement function of the solid state fermentation of the white spirit koji block and provide important feedback information for controlling the fermentation quality of the koji block.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
FIG. 1 is a schematic diagram of a module of the device for detecting the internal fermentation state of the white spirit koji block based on the hyperspectral technology. As shown in figure 1, a device for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology comprises: the device comprises a
FIG. 2 is a front view of a device for detecting the internal fermentation state of a white spirit koji block by a hyperspectral technology. FIG. 3 is a top view of a device for detecting the internal fermentation state of a white spirit koji block by a hyperspectral technology. FIG. 4 is a partial schematic view of a koji fermentation detection system. Referring to fig. 2, 3 and 4, the
The
The
The curved block hyperspectral
The
The curved block hyperspectral
The bent block hyperspectral
After the collection of the koji block hyperspectral
The
FIG. 7 is a flow chart of a method for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology. As shown in FIG. 7, a method for detecting the internal fermentation state of a white spirit koji block based on a hyperspectral technology comprises the following steps:
step 101: acquiring surface hyperspectral data of yeast blocks fermented in different areas at different periods in real time;
the
acquiring image information and spectrum information of the curved block in real time through a curved block hyperspectral data acquisition system;
according to the image information and the spectrum information, the hyperspectral information of the surface of the koji block to be detected is obtained, the integration of the maps of fermentation state information of each stage of the koji block is realized, and the collected surface hyperspectral data is used as the basis for judging the internal and external fermentation states of the koji block.
Step 102: and performing image processing and spectral information processing on the hyperspectral data on the surface of the curved block to obtain the hyperspectral data of the curved block at the specific point.
Step 103: and acquiring the hyperspectral data of the optimal specific waveband curved block from the database.
Step 104: combining the hyperspectral data of the specific-point curved block with the hyperspectral data of the optimum specific-wave-band curved block, and obtaining the hyperspectral data of the surface of the specific-wave-band curved block by a deep learning method.
Step 105: obtaining fermentation environmental parameters of a koji room, which specifically comprises the following steps:
reasonably collecting fermentation environment parameters of the koji room by adopting a sectional type collection mode according to the growth change rule of microorganisms in the koji block fermentation process to obtain the environmental temperature, humidity and O of the koji room2Concentration, CO2Concentration, CO2Concentration by CO2Concentration sensor acquisition, O2In a concentration of O2The concentration sensor collects, the temperature is collected through the temperature sensor, and the humidity is collected through the humidity sensor.
Step 106: and judging whether the hyperspectral data on the surface of the curved block in the specific waveband is a new hyperspectral data type.
Step 107: and if the type of the hyperspectral data is a new hyperspectral data type, updating the established optimal nonlinear prediction mathematical model in real time according to the hyperspectral data on the surface of the curved block with the specific wave band and the fermentation environment parameters of the curved house, and automatically storing the hyperspectral data on the surface of the curved block with the specific wave band into a database.
The database performs insertion and modification operations on the real-time collected high-spectrum data on the surfaces of the koji blocks through a relevant learning algorithm according to the growth change rule of microorganisms and the fermentation environment state of the koji chamber in the fermentation process of the koji blocks, so that the high-spectrum data in the typical fermentation state can be intelligently stored in real time on line;
and storing hyperspectral data of a typical fermentation state according to the intelligence, and automatically updating database information of different types of material components in different koji rooms in the koji block fermentation process.
The detection method has an online real-time learning function, and updates the established optimal nonlinear prediction mathematical model in real time according to the new curve block surface hyperspectral data; and increasing an automatic optimization prediction data model along with the detection time and the detected koji block data, and gradually improving the intelligence of the fermentation state detection system in the koji block.
Step 108: if the type of the hyperspectral data is not the new type of hyperspectral data, an optimal nonlinear prediction mathematical model is established by directly applying the hyperspectral data on the surface of the koji block in the specific waveband and the fermentation environment parameters of the koji chamber.
Step 109: and judging the internal fermentation state of the koji block according to the optimal nonlinear prediction mathematical model.
A suspended type koji block hyperspectral data acquisition system is adopted to enter different fermentation koji rooms, the hyperspectral data of the fermentation surfaces of koji blocks in different periods and different areas are acquired in real time, the image information and the spectral information of the fermentation state of the koji blocks are comprehensively processed, and the hyperspectral data of the koji blocks at specific points are acquired. And combining the hyperspectral data of the optimal curved block with the specific wave band obtained in the database with the hyperspectral data corresponding to the specific point of the curved block collected in real time, and obtaining the hyperspectral data of the surface of the curved block with the specific wave band through deep learning. According to the growth change rule of microorganisms in the fermentation of the koji blocks, a sectional type acquisition mode is adopted, fermentation environment parameters of the koji chamber are reasonably acquired, and an optimal nonlinear prediction mathematical model is established to judge the internal and external fermentation states of the koji blocks, wherein the parameters comprise the environmental temperature, the humidity, the oxygen content, the carbon dioxide content and the like of the koji chamber and the hyperspectral data on the surface of the koji blocks in a specific waveband.
The koji block hyperspectral detection system has an autonomous learning function, discriminates and judges the collected hyperspectral data through the deep learning module, and if the collected data is determined to be a new koji block hyperspectral data type, the database implements insertion, query, deletion and modification operations on the real-time collected koji block hyperspectral data through a related algorithm according to the growth change rule of microorganisms and the fermentation environment state of a koji room in the koji block fermentation process, so that the hyperspectral data of a typical fermentation state can be intelligently stored, and the database information of different types of material components in different koji rooms in the koji block fermentation process can be automatically updated. Along with the increase of detection time and detection koji data, the detection system continuously updates the surface hyperspectral data of the koji fermentation state, updates the established optimal nonlinear mathematical model in real time according to the new koji hyperspectral data, automatically optimizes the prediction data model, gradually improves the intelligence of the detection system of the koji internal fermentation state, realizes the real-time online nondestructive detection of the internal fermentation state of the white spirit koji, reduces the interference of human factors and improves the detection precision. The method provided by the invention meets the requirements of rapid and real-time analysis of big data, and can improve the detection speed and precision. The invention has the following advantages:
(1) a hyperspectral technology is introduced into a method for detecting the fermentation state of the koji blocks of the white spirit on line, the hyperspectral data of the koji blocks with the optimal specific wave bands are combined with the hyperspectral data corresponding to specific points of the koji blocks in real time, and the fermentation state inside the koji blocks is judged according to the hyperspectral data on the surfaces of the koji blocks with the specific wave bands through deep learning, so that the fermentation state and the quality inside and outside the koji blocks are comprehensively detected, the precision and the accuracy of the quality judgment of the koji blocks are improved, and the real-time on-line nondestructive detection of the fermentation state and the quality of the koji blocks of.
(2) And (3) establishing a mathematical model of the yeast block hyperspectral data and yeast room environment parameters (temperature, humidity, oxygen and carbon dioxide concentration), and using the result to control the yeast block fermentation environment parameters to enable the yeast block fermentation environment parameters to be in the optimal fermentation state.
(3) A special mobile suspended type high-spectrum data acquisition system for the yeast blocks is adopted, so that the recognition rate and the detection precision of the yeast block state in the yeast fermentation room are improved. The curved block hyperspectral data acquisition system adopts a full-sealed mode, so that the spectrum acquisition system can be protected from being influenced by high temperature and high humidity, and the service life of the curved block hyperspectral data acquisition system is prolonged. The moisture extraction devices on the two sides of the hyperspectral core equipment can eliminate the influence of water vapor on the lens and the precision instrument, and avoid the interference of environmental factors on the collected hyperspectral data.
(4) The embedded koji block hyperspectral data acquisition system and the 5G data communication mode are adopted to transmit the acquired koji block hyperspectral data to the central control system in real time in a koji room, so that the automatic real-time acquisition of effective koji block hyperspectral information is realized, the fermentation state and quality detection of koji blocks are quickly realized, the hyperspectral data operation speed is improved, and the requirements of koji block production sites are met.
(5) The koji block hyperspectral detection system has an online real-time learning function, namely, the database can intelligently store typical fermentation state hyperspectral data online in real time through a relevant learning algorithm according to the growth change rule of microorganisms and the fermentation environment state of a koji room in the fermentation process of koji blocks. The method realizes that the hyperspectral data information of different types of curved blocks in different curved houses is automatically stored in an intelligent database, and the established optimal nonlinear mathematical model is updated in real time according to the hyperspectral data of the curved blocks of new types. An automatic optimization prediction data model is added along with the detection time and the detection koji block data, the intelligence of the fermentation state detection system in the koji block is gradually improved, and the detection and identification precision is enhanced.
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