A method for monitoring moisture content of collagen casings

Abstract

The present application provides a method for monitoring moisture content of collagen casings. Applied to the technical field of moisture content detection of collagen casings, the method includes collecting the real-time moisture content Hs of the collagen casings through the drying system by an infrared moisture meter during the production process of the collagen casings; if 0<Hs<H1, the moisture state of the collagen casings is determined to be too low; if H1≤Hs≤H2, the moisture state of the collagen casings is determined to be normal; if Hs>H2, the moisture state of the collagen casings is determined to be too high; wherein H1 is the first moisture threshold, H2 is the second moisture threshold, H1<H2; if the moisture state of the collagen casings is normal, and Hs satisfies H1≤Hs<H2×k, k is the energy saving coefficient and k<1, then the drying temperature and / or drying wind speed and / or drying time of the drying system are adjusted so that the moisture content of the adjusted collagen casings is H2×k. In this way, the production efficiency of collagen casings can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of moisture detection of collagen casings, and in particular to a method for monitoring moisture of collagen casings. Background Art

[0002] Collagen casings are edible casings made from animal collagen through a special processing technique. They are widely used in the packaging and production of sausages, hams and other meat products. They not only have excellent physical properties and biocompatibility, but also play an important role in food preservation, taste, and appearance. Moisture is an important component of collagen casings, and it plays a vital role in the preparation and use of casings. In the production process of collagen casings, the moisture content directly affects the properties and quality of the casings through the extraction and processing of collagen from animal skin or other parts; when the moisture content is too high, the casings may become too soft and brittle, causing them to break or tear during use, thus affecting the appearance and service life of the product; if the moisture content is too low, the casings will become too dry, which may increase the brittleness of the casings and make them easy to break. Moisture content will also affect the elasticity and expansibility of collagen casings. Moderate moisture content can maintain the flexibility and plasticity of the casings; one of the functions of collagen casings is to maintain the freshness and moisture of meat products, and prevent water loss from causing meat products to dry or deteriorate. Excessive moisture content may cause the casings themselves to be easily corrupted or moldy, especially during storage and transportation, while too little moisture content will affect the casings' closure and isolation from the external environment, thereby reducing their ability to preserve meat products. Therefore, it is of great significance to monitor the moisture content of collagen casings.

[0003] At present, in the process of moisture monitoring of collagen casings, the existing technology usually adopts manual monitoring and relies on manual operation of production line equipment according to the moisture monitoring results, resulting in low production efficiency of collagen casings. Summary of the invention

[0004] The present invention provides a method for monitoring moisture content of collagen casings.

[0005] According to the first aspect of the present disclosure, a method for monitoring moisture content of collagen casings is provided. The method comprises:

[0006] In the production process of collagen casings, the real-time moisture Hs of the collagen casings that have passed through the drying system is collected by an infrared moisture meter;

[0007] If 0<HsH2, the moisture state of the collagen casing is judged to be too high; wherein H1 is the first moisture threshold, H2 is the second moisture threshold, and H1<H2;<h1>

[0008] If the moisture state of the collagen casing is normal and Hs satisfies H1≤Hs<H2×k, k is the energy saving coefficient and k<1, then adjust the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H2×k.

[0009] Further: by adjusting the drying temperature of the drying system, the moisture content of the adjusted collagen casing is H2×k, wherein the calculation formula of the adjusted drying temperature T1 is:

[0010]

[0011] Wherein, T0 is the initial temperature of the drying system; a1 is the first adjustment coefficient.

[0012] Further: if the moisture content of the collagen casing is less than Hs×b1 within the preset time period q after the drying temperature is adjusted to T1, where b1 is the first variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2×k, wherein the calculation formula of the adjusted drying wind speed V1 is:

[0013]

[0014] Among them, V0 is the initial wind speed of the drying system; a2 is the second adjustment coefficient.

[0015] Further: if the moisture content of the collagen casing is less than Hs×b2 within the preset time period q after the drying wind speed is adjusted to V1, where b2 is the second variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2×k, wherein the calculation formula of the adjusted drying time t1 is:

[0016]

[0017] Wherein, t0 is the initial drying time of the drying system; a3 is the third adjustment coefficient.

[0018] Furthermore, the method further comprises: if the moisture state of the collagen casing is too low, adjusting the drying temperature and / or the drying wind speed and / or the drying time of the drying system so that the moisture content of the adjusted collagen casing is H1;

[0019] By adjusting the drying temperature of the drying system, the moisture content of the adjusted collagen casing is H1, wherein the calculation formula of the adjusted drying temperature T2 is:

[0020]

[0021] Wherein, T0 is the initial temperature of the drying system; a4 is the fourth adjustment coefficient.

[0022] Further: if the moisture content of the collagen casing is less than Hs×b3 within the preset time period q after the drying temperature is adjusted to T2, where b3 is the third variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula of the adjusted drying wind speed V2 is:

[0023]

[0024] Among them, V0 is the initial wind speed of the drying system; a5 is the fifth adjustment coefficient.

[0025] Further: if the moisture content of the collagen casing is less than Hs×b4 within the preset time period q after the drying wind speed is adjusted to V2, where b4 is the fourth variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula of the adjusted drying time t2 is:

[0026]

[0027] Wherein, t0 is the initial drying time of the drying system; a6 is the sixth adjustment coefficient.

[0028] Furthermore, the method further comprises: if the moisture state of the collagen casing is too high, adjusting the drying temperature and / or the drying wind speed and / or the drying time of the drying system so that the moisture content of the adjusted collagen casing is H2;

[0029] By adjusting the drying temperature of the drying system, the moisture content of the adjusted collagen casing is H2, wherein the calculation formula of the adjusted drying temperature T3 is:

[0030]

[0031] Wherein, T0 is the initial temperature of the drying system; a7 is the seventh adjustment coefficient.

[0032] Further: if the moisture content of the collagen casing is less than Hs×b5 within the preset time period q after the drying temperature is adjusted to T3, where b5 is the fifth variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula of the adjusted drying wind speed V3 is:

[0033]

[0034] Among them, V0 is the initial wind speed of the drying system; a8 is the eighth adjustment coefficient.

[0035] Further: if the moisture content of the collagen casing is less than Hs×b6 within the preset time period q after the drying wind speed is adjusted to V3, where b6 is the sixth variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula for the adjusted drying time t3 is:

[0036]

[0037] Wherein, t0 is the initial drying time of the drying system; a9 is the ninth adjustment coefficient.

[0038] According to a second aspect of the present disclosure, a collagen casing moisture detection device is provided. The device comprises:

[0039] The collection module 201 is used to collect the real-time moisture Hs of the collagen casings through the drying system through an infrared moisture meter during the production process of the collagen casings;

[0040] The determination module 202 is used to determine that the moisture state of the collagen casing is too low if 0<HsH2, the moisture state of the collagen casing is too high; wherein H1 is a first moisture threshold, H2 is a second moisture threshold, and H1<H2;<h1>

[0041] Adjustment module 203, if the moisture state of the collagen casing is normal, and Hs satisfies H1≤Hs<H2×k, k is the energy saving coefficient and k<1, then adjust the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H2×k.

[0042] According to a third aspect of the present disclosure, an electronic device is provided. The electronic device includes: a memory and a processor, wherein a computer program is stored in the memory, and the method is implemented when the processor executes the program.

[0043] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and the program implements the method when executed by a processor.

[0044] The present invention uses an infrared moisture meter to monitor the moisture of collagen casings in real time, and can accurately collect moisture data. Compared with the traditional method that relies on manual inspection or time control, it can obtain the moisture status of collagen casings in real time and continuously, effectively improving the accuracy and timeliness of moisture control; according to the real-time monitored moisture data, the moisture status of the collagen casings can be intelligently determined, and the temperature, wind speed and time of the drying system can be automatically adjusted according to different moisture status (too low, normal, too high). This adaptive adjustment avoids manual judgment errors and improves production efficiency and product quality consistency; when the moisture status is normal, the energy-saving coefficient is introduced to optimize the drying parameters. , making the drying process more energy-efficient. By adjusting the drying temperature, wind speed and time, it is possible to ensure that the moisture content of the collagen casing reaches an ideal state while minimizing energy consumption, which helps to reduce production costs and improve overall energy utilization efficiency. By adopting a step-by-step adjustment method, the drying temperature, wind speed and time are adjusted according to actual conditions at different stages to avoid over-drying, ensure that product quality is not affected, and also reduce excessive energy consumption. The entire process can be automated to reduce manual intervention and human errors. Through real-time data collection and feedback adjustment systems, the production process is more accurate and efficient, which improves the automation level of the production line and the production efficiency of collagen casings.

[0045] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0047] Figure 1 A flow chart of a method for monitoring moisture content of a collagen casing according to an embodiment of the present disclosure is shown;

[0048] Figure 2 A block diagram of a collagen casing moisture detection device according to an embodiment of the present disclosure is shown;

[0049] Figure 3 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0051] In addition, the term "and / or" in this article is only a description of the association relationship between the 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 generally indicates that the associated objects before and after are in an "or" relationship.

[0052] Figure 1 A flow chart of a method for monitoring moisture in collagen casings according to an embodiment of the present disclosure is shown, the method comprising:

[0053] S101, in the production process of collagen casings, the real-time moisture Hs of the collagen casings passing through the drying system is collected by an infrared moisture meter;

[0054] S102, if 0<HsH2, the moisture state of the collagen casing is determined to be too high; wherein H1 is the first moisture threshold, H2 is the second moisture threshold, and H1<H2;<h1>

[0055] S103, if the moisture state of the collagen casing is normal, and Hs satisfies H1≤Hs<H2×k, k is the energy saving coefficient and k<1, then adjust the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H2×k.

[0056] In some embodiments, the drying temperature of the drying system is adjusted so that the moisture content of the collagen casing is adjusted to H2×k, wherein the calculation formula of the adjusted drying temperature T1 is:

[0057]

[0058] Wherein, T0 is the initial temperature of the drying system; a1 is the first adjustment coefficient.

[0059] In some embodiments, if the moisture content of the collagen casing changes less than Hs×b1 within a preset time period q after the drying temperature is adjusted to T1, where b1 is a first variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2×k, wherein the calculation formula for the adjusted drying wind speed V1 is:

[0060]

[0061] Among them, V0 is the initial wind speed of the drying system; a2 is the second adjustment coefficient.

[0062] In some embodiments, if the moisture content of the collagen casing is less than Hs×b2 within a preset time period q after the drying wind speed is adjusted to V1, where b2 is the second variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2×k, wherein the calculation formula for the adjusted drying time t1 is:

[0063]

[0064] Wherein, t0 is the initial drying time of the drying system; a3 is the third adjustment coefficient.

[0065] According to the embodiments of the present disclosure, the moisture content of collagen casings is monitored in real time by using an infrared moisture meter, and moisture data can be accurately collected. Compared with the traditional method that relies on manual inspection or time control, the moisture content of collagen casings can be obtained in real time and continuously, effectively improving the accuracy and timeliness of moisture control; based on the real-time monitored moisture data, the moisture state of the collagen casings can be intelligently determined, and the temperature, wind speed and time of the drying system can be automatically adjusted according to different moisture states (too low, normal, too high). This adaptive adjustment avoids manual judgment errors and improves production efficiency and product quality consistency; when the moisture state is normal, the energy-saving factor is introduced to optimize the drying process. Drying parameters make the drying process more energy-efficient. By adjusting the drying temperature, wind speed and time, it is possible to ensure that the moisture content of the collagen casing reaches an ideal state while minimizing energy consumption, which helps to reduce production costs and improve overall energy utilization efficiency. By adopting a step-by-step adjustment method, the drying temperature, wind speed and time are adjusted according to actual conditions at different stages to avoid over-drying, ensure that product quality is not affected, and reduce excessive energy consumption. The entire process can be automated to reduce manual intervention and human errors. Through real-time data collection and feedback adjustment systems, the production process is more accurate and efficient, which improves the automation level of the production line and the production efficiency of collagen casings.

[0066] In some embodiments, the method further includes: if the moisture state of the collagen casing is too low, adjusting the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H1.

[0067] In some embodiments, the drying temperature of the drying system is adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula of the adjusted drying temperature T2 is:

[0068]

[0069] Wherein, T0 is the initial temperature of the drying system; a4 is the fourth adjustment coefficient.

[0070] In some embodiments, if the moisture content of the collagen casing is less than Hs×b3 within a preset time period q after the drying temperature is adjusted to T2, where b3 is the third variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula of the adjusted drying wind speed V2 is:

[0071]

[0072] Among them, V0 is the initial wind speed of the drying system; a5 is the fifth adjustment coefficient.

[0073] In some embodiments, if the moisture content of the collagen casing is less than Hs×b4 within a preset time period q after the drying wind speed is adjusted to V2, where b4 is the fourth variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula for the adjusted drying time t2 is:

[0074]

[0075] Wherein, t0 is the initial drying time of the drying system; a6 is the sixth adjustment coefficient.

[0076] In some embodiments, the method further includes: if the moisture state of the collagen casing is too high, adjusting the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H2.

[0077] In some embodiments, the drying temperature of the drying system is adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula of the adjusted drying temperature T3 is:

[0078]

[0079] Wherein, T0 is the initial temperature of the drying system; a7 is the seventh adjustment coefficient.

[0080] In some embodiments, if the moisture content of the collagen casing changes less than Hs×b5 within a preset time period q after the drying temperature is adjusted to T3, where b5 is the fifth variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula for the adjusted drying wind speed V3 is:

[0081]

[0082] Among them, V0 is the initial wind speed of the drying system; a8 is the eighth adjustment coefficient.

[0083] In some embodiments, if the moisture content of the collagen casing is less than Hs×b6 within the preset time period q after the drying wind speed is adjusted to V3, where b6 is the sixth variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula for the adjusted drying time t3 is:

[0084]

[0085] Wherein, t0 is the initial drying time of the drying system; a9 is the ninth adjustment coefficient.

[0086] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0087] The above is an introduction to the method embodiment. The following is a further explanation of the scheme disclosed in the present invention through an apparatus embodiment.

[0088] Figure 2 A block diagram of a collagen casing moisture detection device according to an embodiment of the present disclosure is shown, the device comprising:

[0089] The collection module 201 is used to collect the real-time moisture Hs of the collagen casings through the drying system through an infrared moisture meter during the production process of the collagen casings;

[0090] The determination module 202 is used to determine that the moisture state of the collagen casing is too low if 0<HsH2, the moisture state of the collagen casing is too high; wherein H1 is a first moisture threshold, H2 is a second moisture threshold, and H1<H2;<h1>

[0091] Adjustment module 203, if the moisture state of the collagen casing is normal, and Hs satisfies H1≤Hs<H2×k, k is the energy saving coefficient and k<1, then adjust the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H2×k.

[0092] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0093] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0094] Figure 3 A schematic block diagram of an electronic device that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0095] The electronic device includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM 302 or a computer program loaded from a storage unit 308 into a RAM 303. In the RAM 303, various programs and data required for the operation of the electronic device can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O interface 305 is also connected to the bus 304.

[0096] A number of components in the electronic device are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0097] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 301 performs the various methods and processes described above, such as the collagen casing moisture monitoring method. For example, in some embodiments, the collagen casing moisture monitoring method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via ROM 302 and / or a communication unit 309. When the computer program is loaded into RAM 303 and executed by the computing unit 301, one or more steps of the collagen casing moisture monitoring method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the collagen casing moisture monitoring method in any other appropriate manner (eg, by means of firmware).

[0098] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0099] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0100] In the context of the present disclosure, a readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0101] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0102] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communications network). Examples of communications networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0103] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0104] It should be understood that the above-mentioned various forms of processes can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solution of this disclosure can be achieved, and this document does not limit this.

[0105] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for monitoring moisture content of collagen casings, characterized in that: include: In the production process of collagen casings, the real-time moisture Hs of the collagen casings that have passed through the drying system is collected by an infrared moisture meter; If 0<Hs<H1, the moisture state of the collagen casing is judged to be too low; if H1≤Hs≤H2, the moisture state of the collagen casing is judged to be normal; if Hs>H2, the moisture state of the collagen casing is judged to be too high; wherein H1 is the first moisture threshold, H2 is the second moisture threshold, and H1<H2; If the moisture state of the collagen casing is normal and Hs satisfies H1≤Hs<H2×k, k is the energy saving coefficient and k<1, then adjust the drying temperature and / or drying wind speed and / or drying time of the drying system so that the moisture content of the adjusted collagen casing is H2×k.

2. The method for monitoring moisture content of collagen casings according to claim 1, characterized in that: By adjusting the drying temperature of the drying system, the moisture content of the adjusted collagen casing is H2×k, wherein the calculation formula of the adjusted drying temperature T1 is: Wherein, T0 is the initial temperature of the drying system; a1 is the first adjustment coefficient.

3. The method for monitoring moisture content of collagen casings according to claim 2, characterized in that: If the moisture content of the collagen casing is less than Hs×b1 within the preset time period q after the drying temperature is adjusted to T1, where b1 is the first variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2×k, wherein the calculation formula of the adjusted drying wind speed V1 is: Among them, V0 is the initial wind speed of the drying system; a2 is the second adjustment coefficient.

4. The method for monitoring moisture content of collagen casings according to claim 3, characterized in that: If the moisture content of the collagen casing is less than Hs×b2 within the preset time period q after the drying wind speed is adjusted to V1, where b2 is the second variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2×k, wherein the calculation formula of the adjusted drying time t1 is: Wherein, t0 is the initial drying time of the drying system; a3 is the third adjustment coefficient.

5. The method for monitoring moisture content of collagen casings according to claim 1, characterized in that: The method further comprises: if the moisture state of the collagen casing is too low, adjusting the drying temperature and / or the drying wind speed and / or the drying time of the drying system so that the moisture content of the adjusted collagen casing is H1; By adjusting the drying temperature of the drying system, the moisture content of the adjusted collagen casing is H1, wherein the calculation formula of the adjusted drying temperature T2 is: Wherein, T0 is the initial temperature of the drying system; a4 is the fourth adjustment coefficient.

6. The method for monitoring moisture content of collagen casings according to claim 5, characterized in that: If, within the preset time period q after the drying temperature is adjusted to T2, the moisture content of the collagen casing changes less than Hs×b3, where b3 is the third variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula for the adjusted drying wind speed V2 is: Among them, V0 is the initial wind speed of the drying system; a5 is the fifth adjustment coefficient.

7. The method for monitoring moisture content of collagen casings according to claim 6, characterized in that: If the moisture content of the collagen casing is less than Hs×b4 within the preset time period q after the drying wind speed is adjusted to V2, where b4 is the fourth variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H1, wherein the calculation formula of the adjusted drying time t2 is: Wherein, t0 is the initial drying time of the drying system; a6 is the sixth adjustment coefficient.

8. The method for monitoring moisture content of collagen casings according to claim 1, characterized in that: The method further comprises: if the moisture state of the collagen casing is too high, adjusting the drying temperature and / or the drying wind speed and / or the drying time of the drying system so that the moisture content of the adjusted collagen casing is H2; By adjusting the drying temperature of the drying system, the moisture content of the adjusted collagen casing is H2, wherein the calculation formula of the adjusted drying temperature T3 is: Wherein, T0 is the initial temperature of the drying system; a7 is the seventh adjustment coefficient.

9. The method for monitoring moisture content of collagen casings according to claim 8, characterized in that: If, within the preset time period q after the drying temperature is adjusted to T3, the moisture content of the collagen casing changes less than Hs×b5, where b5 is the fifth variation coefficient, the drying wind speed of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula for the adjusted drying wind speed V3 is: Among them, V0 is the initial wind speed of the drying system; a8 is the eighth adjustment coefficient.

10. The method for monitoring moisture content of collagen casings according to claim 9, characterized in that: If the moisture content of the collagen casing is less than Hs×b6 within the preset time period q after the drying wind speed is adjusted to V3, where b6 is the sixth variation coefficient, the drying time of the drying system is further adjusted so that the moisture content of the collagen casing after adjustment is H2, wherein the calculation formula for the adjusted drying time t3 is: Wherein, t0 is the initial drying time of the drying system; a9 is the ninth adjustment coefficient.

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