Wine brewing equipment health assessment method based on Internet of Things platform

Abstract

The invention discloses a wine brewing equipment health assessment method based on an Internet of Things platform. The method comprises the steps of data acquisition and health assessment. In the actual production process, the operation parameters of the intelligent travelling crane can be collected in real time, and the equipment health degree of the intelligent travelling crane equipment can be evaluated according to the operation parameters of the intelligent travelling crane, so that the equipment reliability can be improved, and the operation and maintenance cost can be reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of wine product production, and specifically relates to a health assessment method for winemaking equipment based on an Internet of Things platform. Background Art

[0002] Liquor production is currently gradually developing into modern brewing technology, using more mechanized production equipment, and the production process tends to be intelligent production. The production process involves more equipment. In the past, only post-maintenance or regular maintenance based on subjective experience and fixed failure cycles could be adopted. It was difficult to accurately identify equipment failures and repair them, which easily led to major problems such as production line stagnation and production safety, and the maintenance cost was high. Summary of the Invention

[0003] In order to address the shortcomings of the above-mentioned existing technologies, the present invention proposes a brewing equipment health assessment method based on the Internet of Things platform, so as to obtain the health status of the brewing equipment according to the equipment's operating data, and determine whether the equipment needs early maintenance based on the health status, thereby reducing major problems such as production line stagnation and production safety caused by equipment failure.

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

[0005] The health assessment method for brewing equipment based on the Internet of Things platform of the present invention is characterized in that it is applied to an intelligent driving device, which includes: a large vehicle structure, a transfer unit, a trolley structure, a telescopic unit, and a grab unit, and is evaluated according to the following steps:

[0006] Step 1: Record any component among the gantry structure, transfer assembly, trolley structure, telescopic assembly, and grab assembly as the i-th component. Collect the real-time operating data of each component, including current, voltage, number of faults, and cumulative operating time. Upload each real-time operating data of each component to the IoT platform in real time.

[0007] Step 2: The IoT platform performs preliminary verification on the received real-time operation data through the edge computing node, removes invalid data, and supplements missing fields to obtain the verified real-time operation data and store it in the database;

[0008] Step 3: Analyze and process the historical data of the previous cycle in the database under a fixed period to obtain the final score A of the previous cycle in the i-th component i ;

[0009] Step 4: Use formula (5) to get the final score A of the intelligent driving device:

[0010] (5)

[0011] In formula (5), N i is the fractional proportion of the i-th component;

[0012] Step 5: If A is less than the passing score, it means that the health assessment of the corresponding intelligent driving equipment fails, and the i,1 、A i,2 、A i,3 、A i,4 , maintain the corresponding parts.

[0013] The feature of the winemaking equipment health assessment method based on the Internet of Things platform described in the present invention is that step 3 includes:

[0014] Step 3.1: Get the maximum cumulative running time t of the i-th component in the previous cycle i , and use formula (1) to calculate the running time score A of the i-th component in the previous cycle i,1 :

[0015] (1)

[0016] In formula (1), represents the minimum cumulative running time of the i-th component, represents the maximum cumulative running time of the i-th component;

[0017] Step 3.2: Get the maximum current a of the i-th component in the previous cycle max,i , and use formula (2) to calculate the current score A of the i-th component in the previous cycle i,2 :

[0018] (2)

[0019] In formula (2), represents the current interval ratio of the i-th component, a,i is the current deduction ratio of the i-th component, is the current boundary value of the i-th component;

[0020] Step 3.3: Get the maximum voltage v of the i-th component in the previous cycle max,i , and use formula (3) to calculate the voltage score A of the i-th component in the previous cycle i,3 :

[0021] (3)

[0022] In formula (3), represents the voltage interval ratio of the i-th component, v,iis the voltage deduction ratio of the i-th component, v limt,i is the voltage boundary value of the i-th component;

[0023] Step 3.4: Get the number of failures n of the i-th component in the previous cycle i , and use formula (4) to calculate the number of failures of the i-th component in the previous cycle A i,4 :

[0024] (4)

[0025] In formula (4), represents the minimum number of failures of the i-th component, represents the maximum number of failures of the i-th component;

[0026] Step 3.5: From A i,1 、A i,2 、A i,3 、A i,4 Select the minimum value as the final score A of the previous cycle in the i-th component i .

[0027] The electronic device of the present invention includes a memory and a processor, and is characterized in that the memory is used to store a program that supports the processor to execute the winemaking equipment health assessment method, and the processor is configured to execute the program stored in the memory.

[0028] The present invention provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program executes the steps of the winemaking equipment health assessment method when the computer program is run by a processor.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. This invention uses an IoT platform to collect operating parameters of intelligent driving equipment in real time, such as current, voltage, number of faults, and cumulative operating time, and performs preliminary verification and data processing through edge computing nodes. Traditional methods rely solely on post-event maintenance or subjective judgment, making it difficult to accurately identify equipment failures. However, this invention monitors equipment status in real time and promptly identifies potential problems, effectively avoiding sudden equipment failures and reducing the risk of production line stagnation. It significantly improves equipment reliability and stability, ensuring the continuity and safety of the production process.

[0031] 2. Through data analysis, this invention accurately assesses the health of each component and formulates a reasonable maintenance plan based on the assessment results. Traditional scheduled maintenance methods can lead to over- or under-maintenance, increasing unnecessary costs and risking equipment damage. However, this invention optimizes maintenance strategies based on the actual operation of the equipment, reducing unnecessary maintenance work, significantly reducing equipment operation and maintenance costs, extending equipment lifespan, and improving the company's economic benefits.

[0032] 3. This invention can provide early warning of equipment failures and arrange timely maintenance, thus avoiding production interruptions caused by equipment failures. Traditional methods, which only perform maintenance after equipment failures occur, often cause production line shutdowns and affect production progress. However, this invention ensures the normal operation of production equipment through preventive maintenance, improves production efficiency, and achieves efficient and stable operation of the production process, reducing production delays caused by equipment failures and improving overall production efficiency. DETAILED DESCRIPTION

[0033] In this embodiment, a winemaking equipment health assessment method based on an Internet of Things platform is applied to an intelligent driving device, which includes a large vehicle structure, a transfer unit, a small vehicle structure, a telescopic unit, and a grab unit. The assessment is performed according to the following steps:

[0034] Step 1: Denote any component in the gantry, transfer unit, trolley, telescopic unit, or grab unit as the i-th component. Collect real-time operating data for each component, including current, voltage, number of faults, and cumulative operating time. Upload each component's real-time operating data to the IoT platform. Install sensors in the gantry, transfer unit, trolley, telescopic unit, and grab unit of the intelligent driving equipment to collect real-time operating parameters such as current, voltage, number of faults, and cumulative operating time. Ensure the collected data is accurate and reliable, providing a solid foundation for subsequent health assessments.

[0035] Step 2: The IoT platform performs preliminary verification on the received real-time operation data through the edge computing node, eliminates invalid data, and supplements missing fields to obtain the verified real-time operation data and store it in the database. Effective data preprocessing can improve the accuracy of subsequent data analysis and avoid misjudgments due to data quality issues.

[0036] Step 3: Analyze and process the historical data from the previous cycle in the database at a fixed period to obtain the analysis results for the previous cycle. Within the fixed period, analyze and process the historical data in the database to calculate the operating time score, current score, voltage score, and number of failures score for each component, and select the minimum value as the final score. This comprehensive evaluation of data from multiple dimensions comprehensively reflects the health status of the equipment, ensuring the objectivity and accuracy of the evaluation results.

[0037] Step 3.1: Get the maximum cumulative running time t of the i-th component in the previous cycle i , and use formula (1) to calculate the running time score A of the i-th component in the previous cycle i,1 :

[0038] (1)

[0039] In formula (1), represents the minimum cumulative running time of the i-th component, Indicates the maximum cumulative running time of the i-th component.

[0040] Step 3.2: Get the maximum current a of the i-th component in the previous cycle max,i , and use formula (2) to calculate the current score A of the i-th component in the previous cycle i,2 :

[0041] (2)

[0042] In formula (2), represents the current interval ratio of the i-th component, a,i is the current deduction ratio of the i-th component, is the current boundary value of the i-th component.

[0043] Step 3.3: Get the maximum voltage v of the i-th component in the previous cycle max,i , and use formula (3) to calculate the voltage score A of the i-th component in the previous cycle i,3 :

[0044] (3)

[0045] In formula (3), represents the voltage interval ratio of the i-th component, v,i is the voltage deduction ratio of the i-th component, v limt,i is the voltage boundary value of the i-th component.

[0046] Step 3.4: Get the number of failures n of the i-th component in the previous cyclei , and use formula (4) to calculate the number of failures of the i-th component in the previous cycle A i,4 :

[0047] (4)

[0048] In formula (4), represents the minimum number of failures of the i-th component, represents the maximum number of failures of the i-th component;

[0049] Step 3.5: From A i,1 、A i,2 、A i,3 、A i,4 Select the minimum value as the final score A of the previous cycle in the i-th component i .

[0050] Step 4: Use formula (5) to get the final score A of the intelligent driving device:

[0051] (5)

[0052] In formula (5), N i is the score proportion of the i-th component. Based on the final scores of each component, the overall health score of the intelligent driving system is calculated and compared with the passing score. This quantitative assessment intuitively displays the health status of the equipment, allowing managers to quickly determine whether the equipment requires maintenance.

[0053] Step 5: If A is less than the passing score, it means that the health assessment of the corresponding intelligent driving equipment fails, and the i,1 、A i,2 、A i,3 、A i,4 , carry out targeted maintenance on the corresponding components. Timely and effective maintenance measures can extend the life of the equipment, reduce the possibility of failure, and ensure the smooth progress of production.

[0054] In this embodiment, an electronic device includes a memory and a processor, wherein 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.

[0055] In this embodiment, a computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are executed.

Claims

1. A winemaking equipment health assessment method based on the Internet of Things platform, characterized in that: It is applied to intelligent driving equipment, which includes: trolley structure, transfer unit, trolley structure, telescopic unit, grab unit, and is evaluated according to the following steps: Step 1: Record any component among the gantry structure, transfer assembly, trolley structure, telescopic assembly, and grab assembly as the i-th component. Collect the real-time operating data of each component, including current, voltage, number of faults, and cumulative operating time. Upload each real-time operating data of each component to the IoT platform in real time. Step 2: The IoT platform performs preliminary verification on the received real-time operation data through the edge computing node, removes invalid data, and supplements missing fields to obtain the verified real-time operation data and store it in the database; Step 3: Analyze and process the historical data of the previous cycle in the database under a fixed period to obtain the final score A of the previous cycle in the i-th component i ; Step 4: Use formula (5) to get the final score A of the intelligent driving device: (5) In formula (5), N i is the fractional proportion of the i-th component; Step 5: If A is less than the passing score, it means that the health assessment of the corresponding intelligent driving equipment fails, and the i,1 、A i,2 、A i,3 、A i,4 , maintain the corresponding parts.

2. The method for health assessment of brewing equipment based on the Internet of Things platform according to claim 1 is characterized in that: The step 3 comprises: Step 3.1: Get the maximum cumulative running time t of the i-th component in the previous cycle i , and use formula (1) to calculate the running time score A of the i-th component in the previous cycle i,1 : (1) In formula (1), represents the minimum cumulative running time of the i-th component, represents the maximum cumulative running time of the i-th component; Step 3.2: Get the maximum current a of the i-th component in the previous cycle max,i , and use formula (2) to calculate the current score A of the i-th component in the previous cycle i,2 : (2) In formula (2), represents the current interval ratio of the i-th component, a,i is the current deduction ratio of the i-th component, is the current boundary value of the i-th component; Step 3.3: Get the maximum voltage v of the i-th component in the previous cycle max,i , and use formula (3) to calculate the voltage score A of the i-th component in the previous cycle i,3 : (3) In formula (3), represents the voltage interval ratio of the i-th component, v,i is the voltage deduction ratio of the i-th component, v limt,i is the voltage boundary value of the i-th component; Step 3.4: Get the number of failures n of the i-th component in the previous cycle i , and use formula (4) to calculate the number of failures of the i-th component in the previous cycle A i,4 : (4) In formula (4), represents the minimum number of failures of the i-th component, represents the maximum number of failures of the i-th component; Step 3.5: From A i,1 、A i,2 、A i,3 、A i,4 Select the minimum value as the final score A of the previous cycle in the i-th component i .

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 brewing equipment health assessment method 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 a processor, the steps of the winemaking equipment health assessment method according to claim 1 or 2 are executed.

Images