Fermentation monitoring method, device and equipment

Abstract

The invention relates to the technical field of fermentation monitoring, in particular to a fermentation monitoring method, device and equipment. The method comprises the following steps: acquiring adjustment equipment information, equipment application data and real-time environment information, processing the adjustment equipment information, the equipment application data and the real-time environment information to obtain an equipment monitoring model, and performing application monitoring on each piece of environment regulation and control equipment based on the equipment monitoring model, judging whether at least one environment regulation and control device is abnormal in application or not, if yes, performing abnormality analysis on the at least one environment regulation and control device based on the device monitoring model and the real-time environment information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set, and binding and marking the abnormal equipment set and the weight value according to the equipment structure position and the equipment monitoring model, and controlling and displaying the equipment monitoring model after binding and marking. The fermentation efficiency of the enzyme preparation fermentation process is improved.

Description

Technical Field

[0001] The present application relates to the technical field of fermentation monitoring, and in particular to a fermentation monitoring method, device and equipment. Background Art

[0002] Enzyme preparation is a biotechnology product, and its production process includes bacterial culture, fermentation, separation and extraction, testing and packaging. Enzyme preparation production monitoring refers to the continuous monitoring and control of the production process of enzyme preparations to ensure the quality, efficiency and consistency of the product. Among them, during the fermentation process, it is very important to ensure the stability and accuracy of the fermentation environment parameters. The maintenance and adjustment of the fermentation environment parameters are achieved through environmental control equipment. That is to say, the environmental control equipment determines the fermentation environment parameters during the enzyme preparation fermentation process. Therefore, the precise management and maintenance of the environmental control equipment is particularly critical.

[0003] At present, network technology is often used to achieve remote monitoring and fault diagnosis of environmental control equipment. The remote monitoring system can obtain the operating data and status information of environmental control equipment in real time, and perform remote analysis and processing to discover and solve problems. However, the remote monitoring and fault diagnosis of different environmental control equipment tends to be more inclined to the synchronous detection of multiple environmental control equipment of the same type, while the collection of operating data and status information of multiple different types of environmental control equipment requires the detection of the operating data and status information of each type of environmental control equipment according to the different data formats or data interfaces, and the inference of the operating status of each environmental control equipment. Multiple environmental control equipment within the same detection range form information islands due to different data formats, and it is difficult to uniformly maintain and monitor different types of environmental control equipment within the same detection range. When an abnormality of one environmental control equipment causes an abnormality in another environmental control equipment, it is impossible to determine the cause of the abnormality of the environmental control equipment in time, thereby reducing the maintenance and monitoring efficiency of different types of environmental control equipment, and further leading to the fermentation efficiency of the enzyme preparation fermentation process. Summary of the invention

[0004] In order to solve at least one of the above technical problems, the present application provides a fermentation monitoring method, device and equipment.

[0005] In a first aspect, the present application provides a fermentation monitoring method, which adopts the following technical solution: A fermentation monitoring method comprising: Acquire the regulating equipment information, equipment application data and real-time environmental information of different environmental regulating equipment, wherein the regulating equipment information is the structural installation information of the environmental regulating equipment used by the enzyme preparation during the fermentation process, the equipment application data is the real-time operation data generated by the different environmental regulating equipment during the fermentation process of the enzyme preparation, and the real-time environmental information is the environmental parameter information of the enzyme preparation during the fermentation stage; Processing the regulating device information and the device application data to obtain device monitoring models for different environmental control devices; Performing application monitoring on each of the environmental control devices based on the device monitoring model to determine whether there is an application abnormality in at least one environmental control device; if there is an application abnormality in at least one environmental control device, performing an abnormality analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set; The abnormal device set and the weight value are bound and marked with the device monitoring model according to the device structure position, and the device monitoring model after the binding mark is controlled to be displayed.

[0006] By adopting the above technical scheme, detailed information of various environmental control equipment involved in the enzyme fermentation process is obtained, including its control equipment information, real-time operation data and environmental parameter information. These information are interrelated and jointly construct a comprehensive view of the fermentation environment. It provides solid data support for subsequent equipment monitoring and abnormal analysis. By processing the control equipment information and equipment application data, an equipment monitoring model for different environmental control equipment is constructed. The model can predict the normal behavior pattern of the equipment based on historical data, providing a benchmark for subsequent application monitoring. It improves the monitoring efficiency and accuracy. Application monitoring based on the equipment monitoring model can timely detect application anomalies of environmental control equipment. When an anomaly is detected, the abnormal equipment is further analyzed in depth in combination with real-time environmental information to obtain the abnormal equipment set and its weight value. This process not only identifies the abnormal equipment, but also reflects the degree of influence of each equipment anomaly on other equipment through the weight value, providing important clues for subsequent troubleshooting and repair. The abnormal equipment set and its weight value are combined with the equipment structure position, bound and marked, and the equipment monitoring model after the binding mark is controlled and displayed. It enables managers to intuitively determine that abnormal equipment has abnormal problems, so that they can quickly take measures to maintain the environmental control equipment, ensure the smooth progress of the enzyme fermentation process, and improve the fermentation efficiency of the enzyme fermentation process.

[0007] In a preferred example, the present application may be further configured as follows: according to the processing of the adjustment device information and the device application data, a device monitoring model of different environmental control devices is obtained, including: Performing data format conversion on the device application data to obtain device transcoded data in a unified data format for different environment control devices; Collecting structural response data corresponding to different structures in the regulating device information of different environmental control devices under different environmental parameter information after different application durations; Based on the regulating device information, the device transcoding data and the structural response data, a device monitoring model for different environmental control devices is constructed.

[0008] In a preferred example, the present application can be further configured as follows: performing data format conversion on the device application data to obtain device transcoded data in a unified data format for different environment control devices, including: Filtering and amplifying the device application data to obtain operation processing data after filtering out abnormal band data, wherein the abnormal band data is used to represent abnormal real-time application data that is too high or too low due to overload operation of the environmental control equipment; The device application data is subjected to protocol conversion processing to obtain device transcoded data conforming to the same data transmission protocol.

[0009] In a preferred example, the present application may be further configured as follows: the device monitoring model of different environmental control devices is constructed based on the adjustment device information, the device transcoding data and the structural response data, including: Determining structural image information of different structural parts in each environmental control device and relative position information of different structural parts according to the control device information; Detecting the structural parts based on the preset points in the structural image information as the origin, and obtaining a two-dimensional coordinate sequence of different structural parts in the adjustment device information; An equipment monitoring model for different environmental control equipment is constructed based on the two-dimensional coordinate sequence, the relative position information, the equipment transcoding data and the structural response data.

[0010] In a preferred example, the present application may be further configured as follows: the device monitoring model of different environmental control devices is constructed based on the two-dimensional coordinate sequence, the relative position information, the device transcoded data and the structural response data, including: Determine a first node coordinate sequence and a second node coordinate sequence according to the two-dimensional coordinate sequence, wherein the first node coordinate sequence is a node coordinate sequence of the entire periphery of the environmental control device, and the second node coordinate sequence is a node coordinate sequence of the entirety of different structural components inside the environmental control device; constructing a peripheral model coordinate system based on the first node coordinate, the second node coordinate, the third node coordinate and the fourth node coordinate in the first node coordinate sequence, wherein the first node coordinate serves as the origin of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the second node coordinate serves as the Y axis of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the third node coordinate serves as the X axis of the peripheral model coordinate system, and the connecting line segment between the fourth node coordinate and the first node coordinate serves as the Z axis of the model three-dimensional coordinate system; Based on the relative position information, the remaining node coordinates in the first node coordinate system sequence and the second node coordinate sequence are mapped into the peripheral model coordinate system to obtain the model position of the environment control device corresponding to the first node coordinate sequence and the internal model position of the internal structural component of the environment control model corresponding to the second node coordinate sequence; Acquire a first component model corresponding to the structural image information in a preset model library; Binding the device transcoding data and the structure response data to the first component model accordingly to obtain a second component model; The second component model is assembled according to the position of the internal model to obtain equipment monitoring models of different environmental control equipment.

[0011] In a preferred example, the present application may be further configured as follows: performing application monitoring on each of the environmental control devices based on the device monitoring model to determine whether there is an application abnormality of at least one environmental control device includes: Acquire the abnormal data standard of the environmental control device, and perform data security detection on the device transcoded data based on the abnormal data standard to obtain an abnormal detection result; It is determined whether there is at least one environmental control device application abnormality according to the abnormality detection result.

[0012] In a preferred example, the present application may be further configured as follows: performing abnormal analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set, including: Determining the device application duration corresponding to the environment control device according to the device transcoding data; According to the real-time environmental information and the application duration of the device, the environmental parameter information and the application duration in the device monitoring model are matched to obtain the reaction characteristic data of different structures of the environmental control device; Inputting the reaction characteristic data into a preset abnormality monitoring model for monitoring, and obtaining a structural abnormality probability corresponding to the reaction characteristic data; Determine whether the structural abnormality probability exceeds the preset abnormality probability. If so, match the abnormal structure position corresponding to the structural abnormality probability with the associated structure position of the historical abnormality information in the equipment monitoring model to obtain abnormal data of the abnormal structure position when different abnormalities occur and a set of associated data of other structures without abnormality when different abnormalities occur at the abnormal structure position; Binding the abnormal data and the associated data set according to the abnormal type to obtain multiple sets of feature data sets; Determine abnormal feature data and normal feature data in the device application data based on the abnormal detection result, and compare the abnormal feature data and the normal feature data with each set of feature data in the multiple sets of feature data sets for similarity, to obtain a sequence of feature data sets whose similarity meets a preset similarity; Data simplification and binding are performed on the feature data set sequence and the similarity corresponding to each feature data set in the feature data set sequence to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set.

[0013] In a second aspect, the present application provides a fermentation monitoring device, which adopts the following technical solution: A fermentation monitoring device, comprising: An information acquisition module is used to obtain the regulating device information, device application data and real-time environmental information of different environmental control devices, wherein the regulating device information is the structural installation information of the environmental control devices used by the enzyme preparation during the fermentation process, the device application data is the real-time operation data generated by the different environmental control devices during the fermentation process of the enzyme preparation, and the real-time environmental information is the environmental parameter information of the enzyme preparation during the fermentation stage; An information processing module, used to process the regulating device information and the device application data to obtain device monitoring models of different environmental control devices; an abnormality monitoring module, used to perform application monitoring on each of the environmental control devices based on the device monitoring model, determine whether there is an application abnormality of at least one environmental control device, and if there is an application abnormality of at least one environmental control device, perform an abnormality analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information, and obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set; The abnormal display module is used to bind and mark the abnormal device set and the weight value with the device monitoring model according to the device structure position, and control the display of the device monitoring model after binding and marking.

[0014] In a possible implementation, when the information processing module processes the adjustment device information and the device application data to obtain the device monitoring model of different environmental control devices, it is specifically used to: Performing data format conversion on the device application data to obtain device transcoded data in a unified data format for different environment control devices; Collecting structural response data corresponding to different structures in the regulating device information of different environmental control devices under different environmental parameter information after different application durations; Based on the regulating device information, the device transcoding data and the structural response data, a device monitoring model for different environmental control devices is constructed.

[0015] In another possible implementation, when the information processing module performs data format conversion on the device application data to obtain device transcoded data in a unified data format for different environment control devices, it is specifically used to: Filtering and amplifying the device application data to obtain operation processing data after filtering out abnormal band data, wherein the abnormal band data is used to represent abnormal real-time application data that is too high or too low due to overload operation of the environmental control equipment; The device application data is subjected to protocol conversion processing to obtain device transcoded data conforming to the same data transmission protocol.

[0016] In another possible implementation, when the information processing module constructs the device monitoring model of different environmental control devices based on the adjustment device information, the device transcoding data, and the structural response data, it is specifically used to: Determining structural image information of different structural parts in each environmental control device and relative position information of different structural parts according to the control device information; Detecting the structural parts based on the preset points in the structural image information as the origin, and obtaining a two-dimensional coordinate sequence of different structural parts in the adjustment device information; An equipment monitoring model for different environmental control equipment is constructed based on the two-dimensional coordinate sequence, the relative position information, the equipment transcoding data and the structural response data.

[0017] In another possible implementation, when the information processing module constructs the device monitoring model of different environmental control devices based on the two-dimensional coordinate sequence, the relative position information, the device transcoded data, and the structural response data, it is specifically used to: Determine a first node coordinate sequence and a second node coordinate sequence according to the two-dimensional coordinate sequence, wherein the first node coordinate sequence is a node coordinate sequence of the entire periphery of the environmental control device, and the second node coordinate sequence is a node coordinate sequence of the entirety of different structural components inside the environmental control device; constructing a peripheral model coordinate system based on the first node coordinate, the second node coordinate, the third node coordinate and the fourth node coordinate in the first node coordinate sequence, wherein the first node coordinate serves as the origin of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the second node coordinate serves as the Y axis of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the third node coordinate serves as the X axis of the peripheral model coordinate system, and the connecting line segment between the fourth node coordinate and the first node coordinate serves as the Z axis of the model three-dimensional coordinate system; Based on the relative position information, the remaining node coordinates in the first node coordinate system sequence and the second node coordinate sequence are mapped into the peripheral model coordinate system to obtain the model position of the environment control device corresponding to the first node coordinate sequence and the internal model position of the internal structural component of the environment control model corresponding to the second node coordinate sequence; Acquire a first component model corresponding to the structural image information in a preset model library; Binding the device transcoding data and the structure response data to the first component model accordingly to obtain a second component model; The second component model is assembled according to the position of the internal model to obtain equipment monitoring models of different environmental control equipment.

[0018] In another possible implementation, when the abnormality monitoring module performs application monitoring on each of the environmental control devices based on the device monitoring model to determine whether there is an application abnormality of at least one environmental control device, it is specifically used to: Acquire the abnormal data standard of the environmental control device, and perform data security detection on the device transcoded data based on the abnormal data standard to obtain an abnormal detection result; It is determined whether there is at least one environmental control device application abnormality according to the abnormality detection result.

[0019] In another possible implementation, when the abnormality monitoring module performs abnormality analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set, it is specifically used to: Determining the device application duration corresponding to the environment control device according to the device transcoding data; According to the real-time environmental information and the application duration of the device, the environmental parameter information and the application duration in the device monitoring model are matched to obtain the reaction characteristic data of different structures of the environmental control device; Inputting the reaction characteristic data into a preset abnormality monitoring model for monitoring, and obtaining a structural abnormality probability corresponding to the reaction characteristic data; Determine whether the structural abnormality probability exceeds the preset abnormality probability. If so, match the abnormal structure position corresponding to the structural abnormality probability with the associated structure position of the historical abnormality information in the equipment monitoring model to obtain abnormal data of the abnormal structure position when different abnormalities occur and a set of associated data of other structures without abnormality when different abnormalities occur at the abnormal structure position; Binding the abnormal data and the associated data set according to the abnormal type to obtain multiple sets of feature data sets; Determine abnormal feature data and normal feature data in the device application data based on the abnormal detection result, and compare the abnormal feature data and the normal feature data with each set of feature data in the multiple sets of feature data sets for similarity, to obtain a sequence of feature data sets whose similarity meets a preset similarity; Data simplification and binding are performed on the feature data set sequence and the similarity corresponding to each feature data set in the feature data set sequence to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set.

[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned fermentation monitoring method.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute a fermentation monitoring method.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: Detailed information on various environmental control equipment involved in the enzyme fermentation process was obtained, including its control equipment information, real-time operation data and environmental parameter information. These information are interrelated and together construct a comprehensive view of the fermentation environment. It provides solid data support for subsequent equipment monitoring and abnormal analysis. By processing the control equipment information and equipment application data, an equipment monitoring model for different environmental control equipment is constructed. The model can predict the normal behavior pattern of the equipment based on historical data, providing a benchmark for subsequent application monitoring. It improves the monitoring efficiency and accuracy. Application monitoring based on the equipment monitoring model can timely detect application anomalies of environmental control equipment. When an anomaly is detected, the abnormal equipment is further analyzed in depth in combination with real-time environmental information to obtain the abnormal equipment set and its weight value. This process not only identifies the abnormal equipment, but also reflects the degree of influence of each equipment anomaly on other equipment through the weight value, providing important clues for subsequent troubleshooting and repair. The abnormal equipment set and its weight value are combined with the equipment structure position, bound and marked, and the equipment monitoring model after binding and marking is controlled and displayed. It enables managers to intuitively determine that abnormal equipment has abnormal problems, so that they can quickly take measures to maintain the environmental control equipment, ensure the smooth progress of the enzyme fermentation process, and improve the fermentation efficiency of the enzyme fermentation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic diagram of a fermentation monitoring method provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of a fermentation monitoring device provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1 To Attachment Figure 3 This application is described in further detail.

[0025] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed, but such modifications are protected by the patent law as long as they are within the scope of the claims of the present application.

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0028] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0029] The embodiment of the present application provides a fermentation monitoring method, which is performed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes: Step S10: Acquire adjustment device information, device application data and real-time environment information of different environmental control devices.

[0030] Among them, the regulating equipment information is the structural installation information of the environmental control equipment used in the fermentation process of the enzyme preparation, the equipment application data is the real-time operation data generated by different environmental control equipment in the fermentation process of the enzyme preparation, and the real-time environmental information is the environmental parameter information of the enzyme preparation in the fermentation stage.

[0031] Step S11: Process the adjustment device information and device application data to obtain device monitoring models for different environmental control devices.

[0032] Specifically, the data format of the device application data is converted to obtain device transcoding data in a unified data format for different environmental control devices, and structural response data corresponding to different structures in the device information adjusted by different environmental control devices under different environmental parameter information after different application times are collected. Based on the adjusted device information, device transcoding data and structural response data, device monitoring models for different environmental control devices are constructed.

[0033] Specifically, the device application data is filtered and amplified to obtain operation processing data after filtering out abnormal band data. The abnormal band data is used to indicate abnormal real-time application data that is too high or too low caused by overload operation of environmental control equipment. The device application data is subjected to protocol conversion processing to obtain device transcoded data that complies with the same data transmission protocol.

[0034] In the embodiments of the present application, existing data conversion tools or platforms are used. These tools usually provide a rich data format conversion function, and users only need to configure the corresponding conversion rules. Specifically, for the data of each device, it is necessary to first identify its data format, then convert it according to the predefined rules, and finally output the data in a unified format. It is understandable that other methods can also be used to implement this step, such as using a programming language to write a custom data conversion script, or using machine learning technology to automatically identify and convert data formats, which is not limited here.

[0035] For the embodiments of the present application, the structural image information of different structural parts in each environmental control device and the relative position information of different structural parts are determined according to the adjustment device information, the structural parts are detected based on the preset points in the structural image information as the origin, and the two-dimensional coordinate sequence of the different structural parts in the adjustment device information is obtained. The equipment monitoring model of different environmental control equipment is constructed based on the two-dimensional coordinate sequence, relative position information, equipment transcoding data and structural reaction data.

[0036] For the embodiment of the present application, a first node coordinate sequence and a second node coordinate sequence are determined according to a two-dimensional coordinate sequence, the first node coordinate sequence is a node coordinate sequence of the entire periphery of the environmental control device, and the second node coordinate sequence is an overall node coordinate sequence of different structural components inside the environmental control device. A peripheral model coordinate system is constructed based on the first node coordinate, the second node coordinate, the third node coordinate, and the fourth node coordinate in the first node coordinate sequence. The first node coordinate serves as the origin of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the second node coordinate serves as the Y axis of the peripheral model coordinate system, and the connecting line segment between the first node coordinate and the third node coordinate serves as the X axis of the peripheral model coordinate system. The connecting line segment between the fourth node coordinate and the first node coordinate is used as the Z axis of the model's three-dimensional coordinate system. Based on the relative position information, the remaining node coordinates in the first node coordinate system sequence and the second node coordinate sequence are mapped to the peripheral model coordinate system to obtain the model position of the environmental control device corresponding to the first node coordinate sequence and the internal model position of the internal structural component of the environmental control model corresponding to the second node coordinate sequence. The first component model corresponding to the structural image information in the preset model library is collected, the device transcoding data and the structural response data are correspondingly bound to the first component model to obtain the second component model, and the second component model is assembled according to the internal model position to obtain the equipment monitoring models of different environmental control equipment.

[0037] Step S12: Perform application monitoring on each environmental control device based on the device monitoring model to determine whether there is at least one environmental control device application anomaly. If there is at least one environmental control device application anomaly, perform an anomaly analysis on at least one environmental control device based on the device monitoring model and real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set.

[0038] For the embodiment of the present application, the abnormal data standard of the environmental control device is obtained, and the data security detection of the device transcoded data is performed based on the abnormal data standard to obtain the abnormal detection result, and it is determined whether there is at least one environmental control device application abnormality based on the abnormal detection result.

[0039] Specifically, the device application time corresponding to the environmental control device is determined according to the device transcoding data, and the real-time environmental information and the device application time are matched with the environmental parameter information and the application time in the device monitoring model to obtain the reaction characteristic data of different structures of the environmental control device, and the reaction characteristic data is input into the preset abnormal monitoring model for monitoring to obtain the structural abnormality probability corresponding to the reaction characteristic data, and it is determined whether the structural abnormality probability exceeds the preset abnormality probability. If it exceeds, the abnormal structure position corresponding to the structural abnormality probability is matched with the associated structure position of the historical abnormal information in the device monitoring model to obtain the abnormal data of the abnormal structure position when different abnormalities occur and the abnormal structure position when different abnormalities occur. The associated data sets of other abnormal structures that did not occur during the abnormality, data binding of the abnormal data and the associated data sets according to the abnormality type to obtain multiple sets of feature data sets, determine the abnormal feature data and normal feature data existing in the device application data based on the abnormality detection result, and perform similarity comparison between the abnormal feature data and the normal feature data and each set of feature data sets in the multiple sets of feature data sets to obtain a feature data set sequence whose similarity meets the preset similarity, perform data simplification and binding on the feature data set sequence and the similarity corresponding to each feature data set in the feature data set sequence to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set.

[0040] Step S13: Binding and marking the abnormal device set and weight value with the device monitoring model according to the device structure position, and controlling the display of the device monitoring model after binding and marking.

[0041] In the present application embodiment, the detailed information of various environmental control equipment involved in the fermentation process of enzyme preparation is obtained, including its regulating equipment information, real-time operation data and environmental parameter information. These information are interrelated and jointly construct a comprehensive view of the fermentation environment. Provide solid data support for subsequent equipment monitoring and abnormal analysis. By processing the regulating equipment information and equipment application data, a device monitoring model of different environmental control equipment is constructed. The model can predict the normal behavior mode of the equipment based on historical data, providing a benchmark for subsequent application monitoring. Improve monitoring efficiency and accuracy. Based on the application monitoring of the equipment monitoring model, it is possible to timely discover the application anomalies of the environmental control equipment. When anomalies are detected, the abnormal equipment is further analyzed in depth in combination with the real-time environmental information to obtain an abnormal equipment set and its weight value. This process not only identifies abnormal equipment, but also reflects the degree of influence of each equipment abnormality on other equipment through the weight value, which provides important clues for subsequent troubleshooting and repair. The abnormal equipment set and its weight value are combined with the equipment structure position, bound and marked, and the equipment monitoring model after the binding mark is controlled and displayed. It enables managers to intuitively determine that abnormal equipment has abnormal problems, so that they can quickly take measures to maintain the environmental control equipment, ensure the smooth progress of the enzyme fermentation process, and improve the fermentation efficiency of the enzyme fermentation process.

[0042] The above embodiment introduces a fermentation monitoring method from the perspective of method flow, and the following embodiment introduces a fermentation monitoring device from the perspective of a virtual module or a virtual unit. Please refer to the following embodiment for details.

[0043] The present application embodiment provides a fermentation monitoring device 20, such as Figure 2 As shown, Figure 2 A schematic diagram of the structure of a fermentation monitoring device provided in an embodiment of the present application. The device 20 may specifically include: The information acquisition module 21 is used to obtain the regulating device information, device application data and real-time environmental information of different environmental control devices. The regulating device information is the structural installation information of the environmental control device used by the enzyme preparation during the fermentation process. The device application data is the real-time operation data generated by different environmental control devices during the fermentation process of the enzyme preparation. The real-time environmental information is the environmental parameter information of the enzyme preparation during the fermentation stage. The information processing module 22 is used to process the adjustment device information and device application data to obtain device monitoring models of different environmental control devices; The abnormality monitoring module 23 is used to perform application monitoring on each environmental control device based on the device monitoring model, determine whether there is at least one environmental control device application abnormality, and if there is at least one environmental control device application abnormality, perform abnormality analysis on at least one environmental control device based on the device monitoring model and real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set; The abnormal display module 24 is used to bind and mark the abnormal device set and weight value with the device monitoring model according to the device structure position, and control the display of the device monitoring model after binding and marking.

[0044] In a possible implementation of the embodiment of the present application, when the information processing module 22 processes the adjustment device information and the device application data to obtain the device monitoring model of different environmental control devices, it is specifically used to: Convert the data format of device application data to obtain device transcoded data in a unified data format for different environment control devices; Collect structural response data corresponding to different structures in the equipment information adjusted by different environmental control equipment under different environmental parameter information after different application durations; The equipment monitoring model of different environmental control equipment is constructed based on the adjustment equipment information, equipment transcoding data and structural response data.

[0045] In another possible implementation of the embodiment of the present application, when the information processing module 22 performs data format conversion on the device application data to obtain device transcoded data in a unified data format for different environment control devices, it is specifically used to: Filter and amplify the equipment application data to obtain the operation processing data after filtering out the abnormal band data. The abnormal band data is used to indicate the abnormal real-time application data that is too high or too low due to the overload operation of the environmental control equipment; Perform protocol conversion on device application data to obtain device transcoded data that complies with the same data transmission protocol.

[0046] In another possible implementation of the embodiment of the present application, when the information processing module 22 constructs the device monitoring model of different environmental control devices based on the adjustment device information, the device transcoding data and the structural response data, it is specifically used to: Determine structural image information of different structural parts in each environmental control device and relative position information of different structural parts according to the control device information; The structural parts are detected based on the preset points in the structural image information as the origin, and a two-dimensional coordinate sequence of different structural parts in the adjustment device information is obtained; Equipment monitoring models for different environmental control equipment are constructed based on two-dimensional coordinate sequences, relative position information, equipment transcoding data, and structural response data.

[0047] In another possible implementation of the embodiment of the present application, when the information processing module 22 constructs the device monitoring model of different environmental control devices based on the two-dimensional coordinate sequence, relative position information, device transcoding data and structural response data, it is specifically used to: Determine a first node coordinate sequence and a second node coordinate sequence according to the two-dimensional coordinate sequence, wherein the first node coordinate sequence is a node coordinate sequence of the entire periphery of the environment control device, and the second node coordinate sequence is a node coordinate sequence of the entirety of different structural components inside the environment control device; A peripheral model coordinate system is constructed based on the first node coordinate, the second node coordinate, the third node coordinate and the fourth node coordinate in the first node coordinate sequence, the first node coordinate is used as the origin of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the second node coordinate is used as the Y axis of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the third node coordinate is used as the X axis of the peripheral model coordinate system, and the connecting line segment between the fourth node coordinate and the first node coordinate is used as the Z axis of the model three-dimensional coordinate system; Based on the relative position information, the remaining node coordinates in the first node coordinate system sequence and the second node coordinate sequence are mapped to the peripheral model coordinate system to obtain the model position of the environment control device corresponding to the first node coordinate sequence and the internal model position of the internal structural component of the environment control model corresponding to the second node coordinate sequence; Acquire a first component model corresponding to the structural image information in a preset model library; Binding the device transcoding data and the structure response data to the first component model accordingly to obtain a second component model; The second component model is assembled according to the position of the internal model to obtain equipment monitoring models of different environmental control equipment.

[0048] In another possible implementation of the embodiment of the present application, the abnormality monitoring module 23 performs application monitoring on each environmental control device based on the device monitoring model to determine whether there is an application abnormality of at least one environmental control device, specifically for: Obtain the abnormal data standards of the environmental control equipment, and perform data security detection on the equipment transcoded data based on the abnormal data standards to obtain the abnormal detection results; It is determined whether there is at least one environmental control device application abnormality according to the abnormality detection result.

[0049] In another possible implementation of the embodiment of the present application, the abnormality monitoring module 23 performs abnormality analysis on at least one environmental control device based on the device monitoring model and the real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set, specifically for: Determine the device application time corresponding to the environment control device according to the device transcoding data; According to the real-time environmental information and the application time of the equipment, the environmental parameter information and the application time in the equipment monitoring model are matched to obtain the response characteristic data of different structures of the environmental control equipment; Inputting the reaction characteristic data into a preset abnormality monitoring model for monitoring, and obtaining the structural abnormality probability corresponding to the reaction characteristic data; Determine whether the structural abnormality probability exceeds the preset abnormality probability. If it exceeds, match the abnormal structure position corresponding to the structural abnormality probability with the associated structure position of the historical abnormality information in the equipment monitoring model to obtain the abnormal data of the abnormal structure position when different abnormalities occur and the associated data set of other structures without abnormality when different abnormalities occur at the abnormal structure position; Bind the abnormal data and the associated data sets according to the abnormal type to obtain multiple sets of feature data sets; Based on the anomaly detection result, abnormal feature data and normal feature data existing in the device application data are determined, and the abnormal feature data and the normal feature data are respectively compared with each set of feature data sets in the multiple sets of feature data sets for similarity, so as to obtain a sequence of feature data sets whose similarity meets a preset similarity; Data simplification and binding are performed on the feature data set sequence and the similarity corresponding to each feature data set in the feature data set sequence to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set.

[0050] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the fermentation monitoring device 20 described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0051] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0052] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0053] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0054] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0055] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0056] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0057] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0058] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0059] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A fermentation monitoring method, characterized in that: include: Acquire the regulating equipment information, equipment application data and real-time environmental information of different environmental regulating equipment, wherein the regulating equipment information is the structural installation information of the environmental regulating equipment used by the enzyme preparation during the fermentation process, the equipment application data is the real-time operation data generated by the different environmental regulating equipment during the fermentation process of the enzyme preparation, and the real-time environmental information is the environmental parameter information of the enzyme preparation during the fermentation stage; Processing the regulating device information and the device application data to obtain device monitoring models for different environmental control devices; Performing application monitoring on each of the environmental control devices based on the device monitoring model to determine whether there is an application abnormality in at least one environmental control device; if there is an application abnormality in at least one environmental control device, performing an abnormality analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set; The abnormal device set and the weight value are bound and marked with the device monitoring model according to the device structure position, and the device monitoring model after the binding mark is controlled to be displayed.

2. A fermentation monitoring method according to claim 1, characterized in that: The device monitoring models of different environmental control devices are obtained by processing the adjustment device information and the device application data, including: Performing data format conversion on the device application data to obtain device transcoded data in a unified data format for different environment control devices; Collecting structural response data corresponding to different structures in the regulating device information of different environmental control devices under different environmental parameter information after different application durations; Based on the regulating device information, the device transcoding data and the structural response data, a device monitoring model for different environmental control devices is constructed.

3. A fermentation monitoring method according to claim 2, characterized in that: The data format conversion of the device application data to obtain device transcoded data in a unified data format for different environment control devices includes: Filtering and amplifying the device application data to obtain operation processing data after filtering out abnormal band data, wherein the abnormal band data is used to represent abnormal real-time application data that is too high or too low due to overload operation of the environmental control equipment; The device application data is subjected to protocol conversion processing to obtain device transcoded data conforming to the same data transmission protocol.

4. A fermentation monitoring method according to claim 3, characterized in that: The device monitoring model of different environmental control devices is constructed based on the adjustment device information, the device transcoding data and the structural response data, including: Determine structural image information of different structural parts and relative position information of different structural parts in each environmental control device according to the control device information; Detecting the structural parts based on the preset points in the structural image information as the origin, and obtaining a two-dimensional coordinate sequence of different structural parts in the adjustment device information; An equipment monitoring model for different environmental control equipment is constructed based on the two-dimensional coordinate sequence, the relative position information, the equipment transcoding data and the structural response data.

5. A fermentation monitoring method according to claim 4, characterized in that: The device monitoring model of different environmental control devices is constructed based on the two-dimensional coordinate sequence, the relative position information, the device transcoding data and the structural response data, including: Determine a first node coordinate sequence and a second node coordinate sequence according to the two-dimensional coordinate sequence, wherein the first node coordinate sequence is a node coordinate sequence of the entire periphery of the environmental control device, and the second node coordinate sequence is a node coordinate sequence of the entirety of different structural components inside the environmental control device; constructing a peripheral model coordinate system based on the first node coordinate, the second node coordinate, the third node coordinate and the fourth node coordinate in the first node coordinate sequence, wherein the first node coordinate serves as the origin of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the second node coordinate serves as the Y axis of the peripheral model coordinate system, the connecting line segment between the first node coordinate and the third node coordinate serves as the X axis of the peripheral model coordinate system, and the connecting line segment between the fourth node coordinate and the first node coordinate serves as the Z axis of the model three-dimensional coordinate system; Based on the relative position information, the remaining node coordinates in the first node coordinate system sequence and the second node coordinate sequence are mapped into the peripheral model coordinate system to obtain the model position of the environment control device corresponding to the first node coordinate sequence and the internal model position of the internal structural component of the environment control model corresponding to the second node coordinate sequence; Acquire a first component model corresponding to the structural image information in a preset model library; Binding the device transcoding data and the structure response data to the first component model accordingly to obtain a second component model; The second component model is assembled according to the position of the internal model to obtain equipment monitoring models of different environmental control equipment.

6. A fermentation monitoring method according to claim 5, characterized in that: The performing application monitoring on each of the environmental control devices based on the device monitoring model to determine whether there is an application abnormality of at least one environmental control device includes: Acquire the abnormal data standard of the environmental control device, and perform data security detection on the device transcoded data based on the abnormal data standard to obtain an abnormal detection result; It is determined whether there is at least one environmental control device application abnormality according to the abnormality detection result.

7. A fermentation monitoring method according to claim 6, characterized in that: The performing abnormal analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set includes: Determining the device application duration corresponding to the environment control device according to the device transcoding data; According to the real-time environmental information and the application duration of the device, the environmental parameter information and the application duration in the device monitoring model are matched to obtain the reaction characteristic data of different structures of the environmental control device; Inputting the reaction characteristic data into a preset abnormality monitoring model for monitoring, and obtaining a structural abnormality probability corresponding to the reaction characteristic data; Determine whether the structural abnormality probability exceeds the preset abnormality probability. If so, match the abnormal structure position corresponding to the structural abnormality probability with the associated structure position of the historical abnormality information in the equipment monitoring model to obtain abnormal data of the abnormal structure position when different abnormalities occur and a set of associated data of other structures without abnormality when different abnormalities occur at the abnormal structure position; Binding the abnormal data and the associated data set according to the abnormal type to obtain multiple sets of feature data sets; Determine abnormal feature data and normal feature data in the device application data based on the abnormal detection result, and compare the abnormal feature data and the normal feature data with each set of feature data in the multiple sets of feature data sets for similarity, to obtain a sequence of feature data sets whose similarity meets a preset similarity; Data simplification and binding are performed on the feature data set sequence and the similarity corresponding to each feature data set in the feature data set sequence to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set.

8. A fermentation monitoring device, characterized in that: include: An information acquisition module is used to obtain the regulating device information, device application data and real-time environmental information of different environmental control devices, wherein the regulating device information is the structural installation information of the environmental control devices used by the enzyme preparation during the fermentation process, the device application data is the real-time operation data generated by the different environmental control devices during the fermentation process of the enzyme preparation, and the real-time environmental information is the environmental parameter information of the enzyme preparation during the fermentation stage; An information processing module, used to process the regulating device information and the device application data to obtain device monitoring models of different environmental control devices; an abnormality monitoring module, used to perform application monitoring on each of the environmental control devices based on the device monitoring model, determine whether there is an application abnormality of at least one environmental control device, and if there is an application abnormality of at least one environmental control device, perform an abnormality analysis on the at least one environmental control device based on the device monitoring model and the real-time environmental information, and obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set; The abnormal display module is used to bind and mark the abnormal device set and the weight value with the device monitoring model according to the device structure position, and control the display of the device monitoring model after binding and marking.

9. An electronic device, characterized in that: It includes: One or more processors; Memory; One or more application programs, wherein the one or more application programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs are configured to: execute a fermentation monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a fermentation monitoring method according to any one of claims 1 to 7 is implemented.

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