Rate regulation and control method for refrigerator crushing production line

Abstract

The invention provides a speed regulation and control method for a refrigerator breaking production line, and the method comprises the following steps: obtaining a reference production line, carrying out the clustering analysis of the equipment characteristics in the reference production line according to the type of a refrigerator, and synchronously obtaining a reference equipment sequence which comprises a plurality of pieces of reference equipment; a reference device matching sequence is generated according to the matching relation between the reference devices in the reference device sequence, the reference device matching sequence comprises a plurality of reference matching sequences, and each reference matching sequence comprises the matching relation between two adjacent reference devices; acquiring a plurality of reference matching features according to a matching relationship in the reference matching sequence, and acquiring a matching level corresponding to the matching relationship according to the reference matching features; the matching level is normalized, a reference regulation and control level is generated through comparison with a preset level threshold value, and the reference regulation and control level comprises a plurality of reference regulation and control strategies.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of old product recycling, and particularly relates to a rate regulation method for a refrigerator crushing production line. BACKGROUND

[0002] At present, with the rapid development of modern industry, as an important part of household appliances, the demand for production and recycling of refrigerators is increasing. The efficiency and stability of the refrigerator crushing production line, as the core link of refrigerator recycling, directly affect the economic benefit and environmental protection effect of the whole recycling process. However, the existing refrigerator crushing production line has many technical bottlenecks and defects in the rate regulation, which seriously restricts the overall performance of the production line.

[0003] In the prior art, the rate regulation of the refrigerator crushing production line mainly depends on manual operation or simple mechanical control, and lacks intelligent and automatic regulation means. This traditional regulation method not only has low efficiency, but also is easily affected by human factors, resulting in unstable operation of the production line, and even shutdown or failure. Secondly, the rate regulation method in the prior art often cannot respond to changes in the production line in real time, such as changes in material types, material sizes, wear and tear of crushing equipment and other factors, resulting in large fluctuations in the crushing efficiency of the production line, making it difficult to maintain a constant output rate. This instability not only affects the overall efficiency of the production line, but also increases the maintenance cost and energy consumption of the equipment.

[0004] The rate regulation method in the prior art lacks consideration of environmental factors such as noise, vibration and dust generated during the crushing process, resulting in a poor operating environment for the production line, which not only threatens the health of the operators, but also may pollute the surrounding environment. Furthermore, the rate regulation method in the prior art usually adopts a fixed regulation strategy, which cannot be dynamically adjusted according to the actual operating state of the production line, resulting in poor adaptability of the production line when dealing with different working conditions. For example, when the production line handles refrigerators of different models or materials, the existing regulation method often cannot adjust the operating parameters of the crushing equipment in time, resulting in unsatisfactory crushing effect, and even overloading or damage of the equipment. In addition, the rate regulation method in the prior art lacks coordinated control between the various links of the production line, resulting in uncoordinated operation rhythm between the devices of the production line, which is prone to material accumulation or equipment idling, further reducing the overall efficiency of the production line.

[0005] The rate regulation method in the prior art generally lacks the ability of collecting and analyzing the production line operation data, and cannot monitor and predict the operation state of the production line in real time, which leads to the difficulty in finding and handling the faults or abnormalities of the production line in time, and increases the downtime and maintenance cost of the production line. In summary, the existing refrigerator crushing production line has many technical defects in the rate regulation aspect, such as low intelligent degree, poor real-time response ability, weak environmental adaptability, insufficient collaborative control, and lack of data collection and analysis ability, which seriously restricts the overall performance and economy of the production line. Therefore, it has important practical significance and application value to develop an intelligent, automated, real-time response, environment-friendly, collaborative control, and data-driven refrigerator crushing production line rate regulation method. SUMMARY

[0006] The application provides a rate regulation method for a refrigerator crushing production line, which solves the problems of inaccurate device rate regulation, uncoordinated matching relationship between devices, low production line efficiency, and lack of intelligent regulation strategy in the refrigerator crushing production line.

[0007] The technical scheme of the application is as follows: a rate regulation method for a refrigerator crushing production line, the method comprising the following steps:

[0008] A reference production line is obtained, the device features in the reference production line are clustered and analyzed according to the refrigerator types, and a reference device sequence is synchronously obtained, the reference device sequence comprising a plurality of reference devices; a reference device matching sequence is generated according to the matching relationship between the reference devices in the reference device sequence, the reference device matching sequence comprising a plurality of reference matching sequences, and each reference matching sequence comprising the matching relationship between two adjacent reference devices;

[0009] A plurality of reference matching features are obtained according to the matching relationship in the reference matching sequence, a matching level corresponding to the matching relationship is obtained according to the reference matching features, the matching level is normalized, and a reference regulation level is generated by comparing with a preset level threshold, the reference regulation level comprising a plurality of reference regulation strategies;

[0010] A target production line is obtained, the devices in the reference production line are compared according to the device features in the target production line, and a target device sequence matching the target production line is obtained, the target device sequence having the same reference devices as the reference device sequence;

[0011] A plurality of target matching sequences are generated according to the target device sequence, and target matching features are obtained according to the matching relationship in the target matching sequence; corresponding target regulation strategies are obtained according to the target matching features, and the target devices in the target device sequence are regulated in rate according to the target regulation strategies.

[0012] In the prior art, the speed regulation of refrigerator breaking production lines mainly relies on manual operation or simple mechanical control, lacking intelligent and automated regulation means. Traditional methods usually adopt fixed regulation strategies, which cannot be dynamically adjusted according to the actual running state of the production line, resulting in poor adaptability of the production line when dealing with different working conditions. For example, when the production line handles refrigerators of different models or materials, the existing regulation method often cannot adjust the running parameters of the breaking equipment in time, resulting in unsatisfactory breaking effect, and even causing equipment overload or damage. In addition, the speed regulation method in the prior art lacks coordinated control between the links of the production line, resulting in uncoordinated running rhythm between the devices of the production line, which is prone to material accumulation or equipment idling, further reducing the overall efficiency of the production line. The speed regulation method in the prior art usually lacks the ability to collect and analyze production line running data, and cannot monitor and predict the running state of the production line in real time, making it difficult to find and handle faults or abnormalities in time, increasing the downtime and maintenance cost of the production line.

[0013] In contrast, the present method can accurately identify the matching relationship between devices and generate reference regulation levels and reference regulation strategies by obtaining a reference production line and clustering analysis of device characteristics according to refrigerator types. This method not only realizes the intelligent regulation of device speed, but also dynamically adjusts the regulation strategy according to the device characteristics of the target production line, ensuring efficient operation of the production line under different working conditions. The present method can obtain target matching features in real time by obtaining a target device sequence and generating a target matching sequence, and generate corresponding target regulation strategies according to the target matching features, thereby realizing accurate speed regulation of target devices. This method not only improves the coordination between devices, but also effectively avoids material accumulation and equipment idling, significantly improving the overall efficiency of the production line. In addition, the present method can generate more scientific and reasonable reference regulation levels by normalizing the matching levels and comparing them with the preset level threshold, ensuring the accuracy and reliability of the regulation strategy. This method not only improves the stability of the production line, but also effectively reduces the maintenance cost and energy consumption of the equipment. In summary, the present method introduces intelligent, dynamic and collaborative speed regulation strategies, solving the problems of inaccurate device speed regulation, uncoordinated matching relationship between devices, low production line efficiency and lack of intelligent regulation strategies in the prior art, and has significant technical advantages and innovation.

[0014] As a preferred implementation, the device features include device category and device speed; when the refrigerator categories are the same, the corresponding reference devices are arranged in ascending order according to device speed to obtain the reference device sequence; the matching relationship of adjacent two reference devices is obtained according to the absolute value of the difference in device speed between adjacent two reference devices in the reference device sequence; and the reference matching sequence is obtained according to different matching results in the matching relationship.

[0015] As a preferred implementation, the matching level includes a first level, a second level and a third level; wherein the first level matching relationship includes a plurality of matching equivalent features, indicating that the speed difference of adjacent two reference devices in the reference device sequence is less than the difference corresponding to the second level matching relationship; the second level matching relationship includes one matching equivalent feature, indicating that the speed difference of adjacent two reference devices in the reference device sequence is between the difference corresponding to the second level matching relationship and the difference corresponding to the third level matching relationship; and the third level matching relationship has only one matching equivalent feature, indicating that the speed difference of adjacent two reference devices in the reference device sequence is the difference corresponding to the third level matching relationship.

[0016] As a preferred implementation, obtaining the reference regulation level includes the following steps:

[0017] When the matching level is the first level and the speed difference in the matching relationship is less than or equal to a threshold value, the corresponding matching relationship is a continuous first regulation strategy in the reference regulation level;

[0018] When the matching level is the second level and the speed difference in the matching relationship is greater than a threshold value and less than a second level threshold value, the corresponding matching relationship is a combined regulation strategy between the first regulation strategy and the second regulation strategy in the reference regulation level;

[0019] When the matching level is the third level and the speed difference in the matching relationship is above the second level threshold value, the corresponding matching relationship is the second regulation strategy in the reference regulation level.

[0020] As a preferred implementation, the method for the target regulation strategy to regulate the speed of the target device in the target device sequence includes the following steps:

[0021] The target regulation strategy corresponding to the target matching strategy and the corresponding matching sequence in the target production line are obtained; when the target regulation strategy is a first regulation strategy, the speed of adjacent two target devices in the target matching sequence is kept unchanged, and the target device is speed-adjusted;

[0022] When the target regulation strategy is a combined regulation strategy and the target matching strategy is two continuous target matching strategies, the speed difference between two target devices corresponding to the two target matching strategies is adjusted, and the combined regulation strategy is converted into a first regulation strategy.

[0023] When the target regulation strategy is a combined regulation strategy and the target matching strategy is two non-continuous matching strategies, the speed is adjusted according to the arrangement order of the reference regulation levels corresponding to the two target matching strategies.

[0024] After the above technical scheme is adopted, the beneficial effects of the present application are: by obtaining a reference production line and performing cluster analysis on the equipment characteristics according to the refrigerator types, a reference equipment sequence and a reference equipment matching sequence are generated, which can accurately identify the matching relationship between the equipment and generate a reference regulation level and a reference regulation strategy, thereby realizing intelligent management of the equipment speed regulation. This method not only improves the stability and efficiency of the production line operation, but also dynamically adjusts the regulation strategy according to the equipment characteristics of the target production line, ensuring efficient operation of the production line under different working conditions. By obtaining a target equipment sequence and generating a target matching sequence, the target matching characteristics can be obtained in real time, and the corresponding target regulation strategy is generated according to the target matching characteristics, thereby realizing accurate speed regulation of the target equipment. This method not only improves the synergy between equipment, but also effectively avoids material accumulation and equipment idling, significantly improving the overall efficiency of the production line. In addition, the method normalizes the matching level and compares it with the preset level threshold, which can generate a more scientific and reasonable reference regulation level, ensuring the accuracy and reliability of the regulation strategy. This method not only improves the stability of the production line operation, but also effectively reduces the maintenance cost and energy consumption of the equipment. By introducing intelligent, dynamic and collaborative speed regulation strategies, the method can monitor and predict the running state of the production line in real time, and timely discover and handle faults or abnormal situations, thereby reducing the downtime and maintenance cost of the production line. In addition, the method can also dynamically adjust according to the actual running state of the production line, ensuring the adaptability of the production line when dealing with different working conditions, further improving the economic benefit and environmental protection effect of the production line. In summary, the method significantly improves the running efficiency, stability and economy of the refrigerator crushing production line through intelligent, dynamic and collaborative speed regulation strategies, which has important practical significance and application value. BRIEF DESCRIPTION OF DRAWINGS

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Example:

[0029] like Figure 1 As shown in this application, the rate control method for a refrigerator crushing production line aims to optimize the production process, improve equipment operating efficiency, and ensure the stability of the production line. A specific implementation scenario can be envisioned as a refrigerator recycling and crushing plant that needs to efficiently process different types of refrigerators. The working principle and process of this method involve multiple steps, combining equipment characteristic analysis with real-time control strategies to form a complete rate control mechanism.

[0030] During implementation, the system first acquires data from a reference production line, a typical production line selected based on historical operating data and performance indicators. Through cluster analysis, the system classifies the equipment characteristics in the reference production line to identify the equipment features required for different types of refrigerators. The core of this step lies in a deep understanding of the equipment characteristics to provide a scientific basis for subsequent rate control. Simultaneously, the system acquires reference equipment sequences, which include the arrangement and function of multiple reference devices.

[0031] Next, based on the matching relationships between devices in the reference device sequence, the system generates a reference device matching sequence. This matching sequence contains the specific matching relationships between two adjacent reference devices, providing basic data for subsequent device comparison and control. By extracting multiple reference matching features, the system can analyze the performance characteristics of different devices in the production process and obtain the matching level corresponding to the matching relationship. The normalization processing of these matching levels ensures that effective comparisons can be made between different devices.

[0032] On this basis, the system compares the reference control level with the preset level threshold, thereby generating a reference control strategy. These strategies will be used to guide the subsequent production line equipment rate control, ensuring that the operating speed of the equipment in actual production matches the production requirements, thereby improving production efficiency and reducing the risk of failure.

[0033] Subsequently, the system obtains the data of the target production line, which may differ from the reference production line in terms of equipment type and operation process. By comparing the characteristics of the equipment in the target production line, the system can identify a target equipment sequence that matches the reference equipment sequence. This process ensures that the target equipment sequence meets the production requirements in terms of function and performance.

[0034] According to the target equipment sequence, the system generates several target matching sequences and obtains target matching characteristics based on the matching relationships in these target matching sequences. Through analysis of the target matching characteristics, the system can obtain corresponding target control strategies. These strategies aim to dynamically adjust the operating speed of the target equipment according to its actual operating state. For example, when the load of the target equipment is high, the system may reduce its operating speed to prevent equipment overload or failure.

[0035] Throughout the entire workflow, each component plays a crucial role. The analysis of reference equipment and target equipment characteristics relies on efficient data acquisition and processing modules that can monitor the operating state of the equipment in real time and record relevant data. Cluster analysis and matching relationship generation rely on powerful algorithm modules that extract valuable information through data mining techniques and provide support for subsequent decision-making. The implementation of rate control relies on precise control devices that can adjust the operating parameters of the equipment in real time according to system instructions, ensuring the efficiency and stability of the production line.

[0036] This rate control method for refrigerator crushing production lines forms a complete production line optimization mechanism through scientific analysis and real-time control strategies. The effective implementation of its working principle and process not only improves production efficiency and reduces equipment failure rate, but also provides a good demonstration for the intelligent development of the refrigerator recycling and crushing industry. As a preferred implementation, the equipment characteristics include equipment type and equipment speed; when the refrigerator type is the same, the corresponding reference equipment is arranged in ascending order according to the equipment speed to obtain the reference equipment sequence; the matching relationship between adjacent two reference equipment in the reference equipment sequence is obtained according to the absolute value of the equipment speed difference between adjacent two reference equipment; the reference matching sequence is obtained according to multiple different matching results in the matching relationship.

[0037] The target regulation strategy described in this application file is a method of regulating the speed of devices in a target device sequence, aiming to optimize the operating efficiency of the production line and ensure the coordination between devices, thereby improving the overall production capacity. The specific implementation scenario can be envisaged as an industrial production line containing multiple different types of devices that need to be dynamically adjusted according to real-time data during operation.

[0038] At the beginning of the workflow, the system first obtains the target regulation strategy corresponding to the target matching strategy and the matching sequence in the target production line. This process is based on the results of previous analysis and data processing, ensuring that the system can select the most appropriate regulation strategy according to different production requirements and existing device states. The types of target regulation strategies mainly include the first regulation strategy, combined regulation strategy, etc., and the system will develop appropriate regulation schemes according to the current device operating state and matching sequence.

[0039] When the target regulation strategy is the first regulation strategy, the system will keep the speed between the two adjacent target devices in the target matching sequence unchanged. The implementation of this strategy means that the speed of the devices during operation will remain stable, avoiding device wear or production efficiency decline caused by speed changes. In this case, the system will adjust the speed of the devices according to their current state to ensure smooth operation according to the set production standards.

[0040] If the target regulation strategy is a combined regulation strategy and the target matching strategy is two consecutive target matching strategies, the system will adjust the speed difference between the two target devices. In this case, the system will convert the combined regulation strategy to the first regulation strategy to ensure the coordination between the two devices. In this way, the system can dynamically adjust the operating parameters of the devices while ensuring production stability, optimizing the production process.

[0041] On the other hand, when the target regulation strategy is a combined regulation strategy, but the target matching strategy is two non-consecutive matching strategies, the system will adjust the speed according to the arrangement order of the reference regulation levels corresponding to the two target matching strategies. This process emphasizes the flexible cooperation between devices, so that even in the case of inconsistent operating states and requirements of different devices, the system can still maintain the efficient operation of the production line through reasonable adjustment strategies.

[0042] The core of this dynamic regulation mechanism lies in its sensitivity and adaptability to real-time data. The system continuously monitors the operating state of the devices, analyzes the data in real time and adjusts according to the preset regulation strategy. In this way, the devices can quickly respond to the changing needs of the production line, maximizing their production efficiency.

[0043] Overall, the method realizes accurate regulation of the device rate by comprehensively analyzing the matching strategy of the target device and its corresponding regulation strategy, combined with real-time data monitoring. This intelligent regulation method not only improves the operation efficiency of the production line, but also guarantees the long-term stability of the device and the production quality, and has a wide application prospect. In the background of modern industrial automation and intelligent manufacturing, this data-driven regulation mechanism will provide strong support for production management.

[0044] The above merely describes preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A rate governing method for a refrigerator break-up line, characterized by, The method comprises the following steps: Obtaining a reference production line, clustering the equipment features in the reference production line according to the refrigerator types, and synchronously obtaining a reference equipment sequence comprising a plurality of reference equipment; generating a reference equipment matching sequence according to the matching relationship between each reference equipment in the reference equipment sequence, wherein the reference equipment matching sequence comprises a plurality of reference matching sequences, and each reference matching sequence comprises the matching relationship between two adjacent reference equipment; Obtaining a plurality of reference matching features according to the matching relationship in the reference matching sequence, obtaining a matching level corresponding to the matching relationship according to the reference matching features; normalizing the matching level, and generating a reference control level by comparing with a preset level threshold, wherein the reference control level comprises a plurality of reference control strategies; Obtaining a target production line, comparing the equipment in the reference production line according to the equipment features in the target production line, and obtaining a target equipment sequence matched with the target production line, wherein the target equipment sequence has the same reference equipment as the reference equipment sequence; Generating a plurality of target matching sequences according to the target equipment sequence, and obtaining target matching features according to the matching relationship in the target matching sequence; Obtaining corresponding target control strategies according to the target matching features, and controlling the speed of the target equipment in the target equipment sequence according to the target control strategies.

2. A rate governing method for a refrigerator crushing line as claimed in claim 1, characterized in that: The equipment features comprise equipment types and equipment speeds; when the refrigerator types are the same, the corresponding reference equipment is arranged in ascending order according to the equipment speeds to obtain the reference equipment sequence; the matching relationship between two adjacent reference equipment is obtained according to the absolute value of the equipment speed difference between two adjacent reference equipment in the reference equipment sequence; and the reference matching sequence is obtained according to a plurality of different matching results in the matching relationship.

3. A rate governing method for a refrigerator break-up line as defined in claim 1, characterized by: The matching level comprises a first level, a second level and a third level; wherein the first level matching relationship comprises a plurality of matching equivalent features, indicating that the speed difference between two adjacent reference equipment in the reference equipment sequence is less than the difference corresponding to the second level matching relationship; the second level matching relationship comprises one matching equivalent feature, indicating that the speed difference between two adjacent reference equipment in the reference equipment sequence is between the difference corresponding to the second level matching relationship and the difference corresponding to the third level matching relationship; and the third level matching relationship has only one matching equivalent feature, indicating that the speed difference between two adjacent reference equipment in the reference equipment sequence is the difference corresponding to the third level matching relationship.

4. A rate governing method for a refrigerator crushing line as claimed in claim 3, characterized in that: Obtaining the reference control level comprises the following steps: When the matching level is the first level, and the speed difference in the matching relationship is less than or equal to a threshold value, the corresponding matching relationship is a continuous first control strategy in the reference control level; When the matching level is the second level, and the speed difference in the matching relationship is greater than a threshold value and less than a second level threshold value, the corresponding matching relationship is a combined control strategy between the first control strategy and the second control strategy in the reference control level; When the matching level is the third level and the speed difference in the matching relationship is above a second level threshold, the corresponding matching relationship is a second control strategy in the reference control level.

5. A rate governing method for a refrigerator break-up line as claimed in claim 4, characterized in that: The method for the target control strategy to control the speed of the target device in the target device sequence comprises the following steps: obtaining a target control strategy corresponding to the target matching strategy and a corresponding matching sequence in the target production line; when the target control strategy is a first control strategy, keeping the speed between two adjacent target devices in the target matching sequence unchanged and adjusting the speed of the target device; when the target control strategy is a combined control strategy and the target matching strategy is two continuous target matching strategies, adjusting the speed difference between two target devices corresponding to the two target matching strategies and converting the combined control strategy into a first control strategy; when the target control strategy is a combined control strategy and the target matching strategy is two non-continuous matching strategies, adjusting the speed according to the arrangement order of the reference control level corresponding to the two target matching strategies.

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