White spirit production process parameter monitoring method based on Internet of Things platform

Abstract

The invention discloses a white spirit production process parameter monitoring method based on an Internet of Things platform, which is applied to an assembly line where a two-dimensional mixer is located, and comprises the following steps: 1, collecting the working state of a mixing motor, the weight of bran and the type of fermented grains of the two-dimensional mixer in real time; 2, preliminarily verifying the collected real-time data, removing invalid data, supplementing missing fields, obtaining verified real-time data, and storing the verified real-time data into a time sequence database; 3, analyzing and processing the real-time data in the time sequence database to obtain an analysis result; and 4, according to an analysis result, generating a corresponding adjustment instruction and issuing the adjustment instruction to the PLC for execution. In the actual production process, the weight of the bran hulls collected in real time is compared with the set threshold value, and the process setting is adjusted according to the comparison result, so that the problems of parameter monitoring lagging, manual statistics complexity and the like in the traditional process can be solved, and the target of optimizing the process conditions is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of liquor product production, and particularly relates to a method for monitoring the technological parameters of liquor production based on an Internet of Things platform. Background Art

[0002] At present, the production of liquor has gradually developed into modern brewing technology, with more mechanized production equipment adopted, and the production process tends to be intelligent. However, the monitoring of the technological parameters in each stage of liquor production relies on manual collection and judgment, which can only rely on highly invisible manual experience. However, the accuracy of manual judgment is low, and it is impossible to detect in time the deviation of the technological parameters of liquor production, resulting in a reduction in the quality and output of the produced liquor, serious resource waste, and deviations in the experience and perception of different operators, resulting in unstable product quality. Summary of the Invention

[0003] The present invention is to solve the above-mentioned deficiencies existing in the prior art, and proposes a method for monitoring the technological parameters of liquor production based on an Internet of Things platform, in order to be able to monitor the technological parameters in the liquor production process in real time and be able to adjust the deviation of the technological parameters in time, so as to well solve the defects such as the inability to monitor the technological parameters in real time and the inability to adjust the technological parameters in time in the traditional liquor production process, so as to achieve the goal of optimizing the technological conditions.

[0004] In order to achieve the above object of the invention, the present invention adopts the following technical solutions:

[0005] A method for monitoring the technological parameters of liquor production based on an Internet of Things platform according to the present invention is characterized in that it is applied to the production line where a two-dimensional mixer is located, and is carried out according to the following steps:

[0006] Step 1: Real-time collect the working state of the mixing motor, the weight of bran hulls, and the type of fermented grains of the two-dimensional mixer and upload them as real-time data to the Internet of Things platform;

[0007] Step 2: The Internet of Things platform performs preliminary verification on the received real-time data through an edge computing node, eliminates invalid data, and supplements missing fields, and then stores the verified real-time data in a time series database;

[0008] Step 3: Analyze and process the real-time data in the time series database to obtain an analysis result;

[0009] Step 4: After receiving the analysis result, the control center generates a corresponding adjustment instruction and issues it to the PLC controller;

[0010] When it is lower than the threshold range, an instruction to add bran hulls is generated;

[0011] When it exceeds the threshold range, an instruction to reduce bran hulls is generated;

[0012] Step 5: After the PLC controller executes the corresponding adjustment instruction, return to Step 1 and execute sequentially.

[0013] Another feature of the method for monitoring liquor production process parameters based on the Internet of Things platform according to the present invention is that Step 3 includes:

[0014] Step 3.1: Detect the working state of the mixing motor. If the mixing motor stops running, it means that the addition of chaff is completed, and execute Step 3.2; otherwise, continue to execute Step 3.1.

[0015] Step 3.2: Obtain the number of the workshop where the two-dimensional mixer is located, and retrieve the preset threshold parameter δ of the corresponding workshop.

[0016] Step 3.3: If the weight of the chaff at the time of completion of addition is less than δ, it means that the weight of the chaff at the time of completion of addition is a system error, and return to Step 3.1 to continue monitoring; otherwise, execute Step 3.4.

[0017] Step 3.4: Perform hierarchical judgment according to the type of fermented grains:

[0018] If the type of fermented grains is upper-middle or middle-middle layer, judge whether the weight of the chaff at the time of completion of addition belongs to the upper-middle threshold interval or the middle threshold interval of the workshop where the two-dimensional mixer is located; if it belongs, it means that the liquor production process parameters are normal, and return to Step 3 to execute sequentially; otherwise, execute Step 3.5.

[0019] If the type of fermented grains is lower-middle layer, judge whether the weight of the chaff belongs to the lower-middle threshold interval of the workshop where the two-dimensional mixer is located. If it belongs, it means that the liquor production process parameters are normal, and return to Step 3 to execute sequentially; otherwise, execute Step 3.5.

[0020] If the type of fermented grains is clear suspension or bottom layer of the pit, judge whether the weight of the chaff belongs to the clear suspension threshold interval or the bottom layer threshold interval of the workshop where the two-dimensional mixer is located; if it belongs, it means that the liquor production process parameters are normal, and return to Step 3 to execute sequentially; otherwise, execute Step 3.5.

[0021] Step 3.5: Generate an over-limit alarm signal, and send the basic information of the two-dimensional mixer and the corresponding over-limit information as the analysis result to the control center.

[0022] A feature of an electronic device according to the present invention, including a memory and a processor, is that the memory is used to store a program for supporting the processor to execute the method for monitoring liquor production process parameters, and the processor is configured to execute the program stored in the memory.

[0023] A computer-readable storage medium of the present invention, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, the steps of the monitoring method for liquor production process parameters are executed.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0025] 1. By introducing the Internet of Things platform, the present invention realizes the real-time monitoring of liquor production process parameters. Compared with traditional manual data collection and judgment, the present invention can collect key data such as the working state of the mixing motor of the two-dimensional mixer, the weight of chaff, and the type of fermented grains in real time, and perform preliminary verification and processing on these data through the edge computing node. This not only avoids the lag of manual data collection, but also reduces human errors, ensuring the accuracy and timeliness of data. In addition, the system can automatically generate adjustment instructions according to real-time data and send them to the PLC controller to achieve automatic adjustment, thus effectively solving the problems of lag in parameter monitoring and complex manual statistics in traditional processes, and improving production efficiency and product quality.

[0026] 2. For different types of fermented grains (such as upper middle layer, middle middle layer, middle lower layer, clear suspension, bottom layer of the pit), the present invention sets different threshold intervals, and through an intelligent hierarchical judgment mechanism, ensures that precise parameter control can be obtained for different types of fermented grains during the production process. For example, when the type of fermented grains is the upper middle layer or the middle middle layer, the system will judge whether the weight of chaff belongs to the corresponding threshold interval. If it exceeds the range, an over-limit alarm signal will be generated and sent to the control center, and then corresponding adjustment instructions will be generated. This intelligent hierarchical judgment mechanism not only improves the accuracy of process parameters, but also can detect and handle abnormal situations in a timely manner, avoiding production quality problems caused by parameter deviation, and ensuring the stability and consistency of products.

[0027] 3. Traditional liquor production processes rely on manual experience and feeling. Differences in experience among different operators will lead to fluctuations in process parameters, which in turn affect product quality and output. The present invention ensures the stability of the production process by real-time monitoring and automatic adjustment of process parameters, reducing resource waste caused by parameter deviation. At the same time, the intelligent control of the system can dynamically adjust process parameters according to actual situations, optimize production conditions, thereby increasing the output and quality of liquor and reducing production costs. Specific embodiments

[0028] In this embodiment, a monitoring method for liquor production process parameters based on the Internet of Things platform is applied to an assembly line composed of two-dimensional mixers. Among them, the two-dimensional mixer has the functions of weighing and detecting the type of fermented grains, and this method is carried out according to the following steps:

[0029] Step 1: Real-time collect the working status of the mixing motor, the weight of bran hulls, and the type of fermented grains of the two-dimensional mixer and upload them as real-time data to the Internet of Things platform; the working status of the mixing motor can be detected by a current sensor, while the weight of bran hulls is obtained by a weighing sensor. This real-time data collection method ensures the timeliness and accuracy of the data, avoiding the lag and errors of manual collection.

[0030] Step 2: The Internet of Things platform conducts preliminary verification on the received real-time data through edge computing nodes, eliminates invalid data, and supplements missing fields. After that, the verified real-time data is stored in the time series database; if the value of a certain data point is significantly abnormal (such as exceeding the reasonable range) or an abnormal value exceeding the sensor range, for example, the weight of bran hulls <0, the system will mark it as invalid data and eliminate it. If the missing field is caused by a communication interruption, it is supplemented by the moving average interpolation of the previous 3 valid values. The verified data will be stored in the time series database for subsequent analysis and processing.

[0031] Step 3: Analyze and process the real-time data in the time series database to obtain the analysis result;

[0032] Step 3.1: Detect the working status of the mixing motor. If the mixing motor stops running, it means that the addition of bran hulls is completed, and Step 3.2 is executed. Otherwise, Step 3.1 is continued to be executed;

[0033] Step 3.2: Obtain the number of the workshop where the two-dimensional mixer is located and retrieve the preset threshold parameter δ = 10 kg for the corresponding workshop;

[0034] Step 3.3: If the weight of bran hulls at the time of completion of addition is less than δ, it means that the weight of bran hulls at the time of completion of addition is a system error, and Step 3.1 is returned to continue monitoring; otherwise, Step 3.4 is executed;

[0035] Step 3.4: Perform hierarchical judgment according to the type of fermented grains: If the type of fermented grains is upper-middle or middle-middle layer, the system will judge whether the weight of bran hulls belongs to the upper-middle layer or middle layer threshold interval; if it is the lower-middle layer, it will judge whether it belongs to the lower-middle layer threshold interval. If it exceeds the threshold interval, the system will generate an over-limit alarm signal and send the relevant information to the control center.

[0036] If the type of fermented grains is upper-middle or middle-middle layer, judge whether the weight of bran hulls at the time of completion of addition belongs to the upper-middle layer threshold interval or the middle layer threshold interval of the workshop where the two-dimensional mixer is located; if it belongs, it means that the white liquor production process parameters are normal, and Step 3 is returned to execute sequentially. Otherwise, Step 3.5 is executed;

[0037] If the type of fermented grains is the middle and lower layers, determine whether the weight of bran belongs to the threshold range of the middle and lower layers of the workshop where the two-dimensional mixer is located. If it belongs, it means that the process parameters of liquor production are normal, and return to step 3 to execute sequentially. Otherwise, execute step 3.5;

[0038] If the type of fermented grains is clear suspension or bottom layer of the pit, determine whether the weight of bran belongs to the threshold range of clear suspension or the threshold range of the bottom layer of the pit in the workshop where the two-dimensional mixer is located; if it belongs, it means that the process parameters of liquor production are normal, and return to step 3 to execute sequentially. Otherwise, execute step 3.5;

[0039] Step 3.5: Generate an over-limit alarm signal, and send the basic information of the two-dimensional mixer and the corresponding over-limit information to the control center as the analysis result;

[0040] Step 4: After receiving the analysis result, the control center generates a corresponding adjustment instruction and issues it to the PLC controller;

[0041] When it is lower than the threshold range, an instruction to add bran is generated;

[0042] When it exceeds the threshold range, an instruction to reduce bran is generated;

[0043] Step 5: After the PLC controller executes the corresponding adjustment instruction, return to step 1 to execute sequentially.

[0044] In this embodiment, an electronic device includes a memory and a processor. The memory is used to store a program that supports the processor to execute the above method, and the processor is configured to execute the program stored in the memory.

[0045] In this embodiment, a computer-readable storage medium stores a computer program on the computer-readable storage medium. When the computer program is run by a processor, it executes the steps of the above method.

[0046] Experimental results and application effects:

[0047] In practical applications, the system has been tested in multiple liquor production workshops. The results show that the system can effectively improve production efficiency and reduce quality problems caused by parameter deviation. In addition, the intelligent control of the system makes the production process more stable, and the quality of the products has been significantly improved.

Claims

1. A method for monitoring liquor production process parameters based on the Internet of Things platform, characterized in that: It is applied to the production line where the two-dimensional mixer is located, and is carried out in the following steps: Step 1: Collect the working status of the mixing motor of the two-dimensional mixer, the weight of bran, and the type of fermented grains in real time and upload them to the Internet of Things platform as real-time data; Step 2: The IoT platform performs preliminary verification on the received real-time data through the edge computing node, removes invalid data, and supplements missing fields to obtain the verified real-time data and store it in the time series database; Step 3: Analyze and process the real-time data in the time series database to obtain the analysis results; Step 4: After receiving the analysis results, the control center generates corresponding adjustment instructions and sends them to the PLC controller; When it is below the threshold range, an instruction to add chaff is generated; When the threshold interval is exceeded, a reduction instruction is generated; Step 5: After the PLC controller executes the corresponding adjustment instructions, it returns to step 1 and executes sequentially.

2. According to a method for monitoring liquor production process parameters based on the Internet of Things platform according to claim 1, it is characterized in that: The step 3 comprises: Step 3.1: Check the working status of the mixing motor. If the mixing motor stops running, it means that the addition of bran is completed, and go to step 3.

2. Otherwise, continue to step 3.1; Step 3.2: Obtain the number of the workshop where the two-dimensional mixer is located, and retrieve the preset threshold parameter δ of the corresponding workshop; Step 3.3: If the weight of the bran husk when the addition is completed is less than δ, it means that the weight of the bran husk when the addition is completed is a system error, and return to step 3.1 to continue monitoring; otherwise, execute step 3.4; Step 3.4: Perform grading judgment based on the type of fermented grains: If the type of mash is middle-upper layer or middle-middle layer, determine whether the weight of bran husk when adding is completed belongs to the middle-upper layer threshold interval or the middle layer threshold interval of the workshop where the two-dimensional mixer is located; if it does, it means that the liquor production process parameters are normal, and return to step 3 to execute sequentially, otherwise, execute step 3.5; If the type of mash is middle-lower layer, determine whether the weight of bran husk belongs to the middle-lower layer threshold interval of the workshop where the two-dimensional mixer is located. If it does, it means that the liquor production process parameters are normal, and return to step 3 for execution. Otherwise, execute step 3.

5. If the mash type is clear hanging or bottom pool, determine whether the bran husk weight belongs to the clear hanging threshold interval or bottom pool threshold interval of the workshop where the two-dimensional mixer is located; if it does, it means that the liquor production process parameters are normal, and return to step 3 for execution; otherwise, execute step 3.5; Step 3.5: Generate an over-limit alarm signal, and send the basic information of the two-dimensional mixer and the corresponding over-limit information to the control center as analysis results.

3. An electronic device, comprising a memory and a processor, characterized in that: The memory is used to store a program that supports the processor to execute the method for monitoring the process parameters of liquor production according to claim 1 or 2, and the processor is configured to execute the program stored in the memory.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the method for monitoring process parameters of liquor production according to claim 1 or 2 are executed.