A method, apparatus, medium, and device for evaluating a printing packaging apparatus
By integrating multi-source data and calculating state quantification parameters, the problems of single evaluation dimensions and strong decision-making subjectivity in the evaluation of printing and packaging equipment have been solved. This has enabled full life-cycle evaluation of equipment value and quantitative replacement decisions, improving the accuracy and scientific nature of the evaluation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN UNIV OF TECH
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-10
AI Technical Summary
Existing evaluation methods for printing and packaging equipment suffer from limitations such as a single evaluation dimension, isolated data, and strong subjectivity in decision-making. These methods fail to accurately reflect changes in equipment value and do not quantify multi-dimensional value increments, resulting in low evaluation accuracy and a lack of scientific decision-making.
By employing multi-source data fusion technology, basic information, operating status, cost, and market data of the equipment are obtained. A comprehensive evaluation index is calculated through status quantification parameters, and equipment retention evaluation is achieved by combining preset thresholds. Furthermore, a replacement value index is calculated through multi-dimensional value increment data to formulate a quantitative replacement decision.
It enables full lifecycle value assessment of printing and packaging equipment, provides more accurate data support, reduces decision-making subjectivity, adapts to multi-scenario needs, and optimizes resource allocation.
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Figure CN122367211A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of data processing technology, and specifically relates to a method, apparatus, medium and equipment for evaluating printing and packaging equipment. Background Technology
[0002] As the core production equipment in the packaging and printing industry, the usage status and value changes of printing and packaging equipment directly affect the production efficiency, product quality and economic benefits of enterprises. At present, the relevant assessment and replacement decisions in the industry generally suffer from problems such as single assessment dimensions and isolated data collection, resulting in low accuracy of equipment assessment and strong subjectivity in decision-making. Summary of the Invention
[0003] In order to overcome the shortcomings of the prior art, the present invention aims to provide a method, apparatus, medium and equipment for evaluating printing and packaging equipment.
[0004] To achieve the above objectives, the present invention employs the following technical solution: In a first aspect, embodiments of the present invention provide a method for evaluating printing and packaging equipment, comprising the following steps: Acquire multi-source data for the target device; this multi-source data includes basic information data, operational status data, cost data, and market data. Based on multi-source data, obtain the state quantification parameters of the target device; Based on the state quantification parameters, a comprehensive evaluation index for the target equipment is obtained; the comprehensive evaluation index is used to guide the retention evaluation of the target equipment.
[0005] In one possible implementation of the first aspect, after obtaining the comprehensive evaluation index of the target device based on the state quantization parameters, the method further includes: Based on preset evaluation thresholds and comprehensive evaluation indices, the retention evaluation results of the target equipment are obtained.
[0006] In one possible implementation of the first aspect, after obtaining the retention evaluation result of the target device based on a preset threshold and a comprehensive evaluation index when the retention evaluation result is not retained, the method further includes: Acquire multidimensional incremental value data for the target new equipment; Based on one-time investment data and multi-dimensional value increment data, obtain the replacement value index of the target new equipment; Based on preset index thresholds and replacement value index, a replacement decision is obtained.
[0007] In one possible implementation of the first aspect, the multidimensional value increment data includes: data on the increase in production capacity value, data on the increase in quality value, data on the increase in market adaptation value, and data on the increase in energy consumption and maintenance savings value.
[0008] In one possible implementation of the first aspect, a replacement value index for the target new equipment is obtained based on one-time replacement investment data and multi-dimensional value increment data, including: Based on the data on the increase in value of production capacity, the increase in value of quality, the increase in value of market adaptation, and the increase in value of energy consumption and operation and maintenance savings, the total increase in value creation is obtained. Based on data on one-time investment in replacement and total value creation, the replacement value index of the target new equipment is obtained.
[0009] In one possible implementation of the first aspect, the state quantization parameters of the target device are obtained based on multi-source data, including: Based on multi-source data, the real-time health index parameters, real-time remaining useful life parameters, dynamic residual value parameters, and remaining life cycle cost parameters of the target device are obtained.
[0010] In one possible implementation of the first aspect, a comprehensive evaluation index of the target device is obtained based on state quantization parameters, including: Based on real-time health index parameters, real-time remaining useful life parameters, and remaining life cycle cost parameters, a comprehensive evaluation index for the target equipment is obtained.
[0011] In a second aspect, embodiments of the present invention provide an evaluation apparatus for printing and packaging equipment, comprising: The data acquisition module is used to acquire multi-source data from the target device; the multi-source data includes basic information data, operating status data, cost data, and market data. The state quantization module is used to obtain the state quantization parameters of the target device based on multi-source data; The comprehensive evaluation module is used to obtain the comprehensive evaluation index of the target equipment based on the state quantification parameters; the comprehensive evaluation index is used to guide the retention evaluation of the target equipment.
[0012] Thirdly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which, when loaded and executed by a processor, implements the evaluation method for printing and packaging equipment as provided in any of the first aspects above.
[0013] Fourthly, embodiments of the present invention provide an electronic device, including a processor and a memory, wherein: Memory is used to store computer programs; The processor is used to load and execute computer programs to cause the electronic device to perform the evaluation method for printing and packaging equipment provided in any of the first aspects above.
[0014] Compared with the prior art, the present invention has the following beneficial effects: This invention proposes a method, apparatus, medium, and equipment for evaluating printing and packaging equipment. The method includes acquiring multi-source data of the target equipment, including basic information data, operational status data, cost data, and market data. Based on the multi-source data, it acquires quantitative parameters of the target equipment's status. Based on these quantitative parameters, it acquires a comprehensive evaluation index for the target equipment. This comprehensive evaluation index guides the retention assessment of the target equipment. This invention utilizes multi-source data for equipment evaluation, integrating data from basic equipment information, operational status, cost, and market factors. This avoids the limitations of single-dimensional evaluation and solves the problem of data silos. By quantifying the equipment status into parameters based on multi-source data and using these parameters to achieve a comprehensive evaluation of the equipment, it provides more accurate and comprehensive data support for the retention assessment of printing and packaging equipment. Attached Figure Description
[0015] Figure 1 This is a schematic diagram of the electronic device structure for the hardware operating environment involved in this invention; Figure 2 This is a flowchart illustrating the evaluation method for printing and packaging equipment provided by the present invention. Figure 3 This is a flowchart illustrating one embodiment of the method for evaluating printing and packaging equipment provided by the present invention. Figure 4 This is a schematic diagram of a module for an evaluation device for printing and packaging equipment provided by the present invention.
[0016] Wherein: 101-processor, 102-communication bus, 103-network interface, 104-user interface, 105-memory. Detailed Implementation
[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.
[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0019] See attached document Figure 1 , attached Figure 1 This is a schematic diagram of the electronic device structure of the hardware operating environment involved in the embodiments of the present invention. The electronic device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. The communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 104 may also include a standard wired interface and a wireless interface. The network interface 103 may include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 105 may be a storage device independent of the aforementioned processor 101. The memory 105 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as at least one disk storage device. The processor 101 may be a general-purpose processor, including a central processing unit, a network processor, etc., or it may be a digital signal processor, an application-specific integrated circuit, a field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component.
[0020] Those skilled in the art will understand that the appendix Figure 1 The structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0021] As attached Figure 1 As shown, the memory 105, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an evaluation device for printing and packaging equipment.
[0022] In the appendix Figure 1 In the electronic device shown, the network interface 103 is mainly used for data communication with the network server; the user interface 104 is mainly used for data interaction with the user; the processor 101 and the memory 105 in this invention can be set in the electronic device, and the electronic device calls the evaluation device for printing and packaging equipment stored in the memory 105 through the processor 101 and executes the evaluation method for printing and packaging equipment provided in the embodiment of this invention.
[0023] As the core production equipment in the packaging and printing industry, the usage status and value changes of printing and packaging equipment directly affect the production efficiency, product quality, and economic benefits of enterprises. Currently, the industry's related assessment and replacement decisions generally suffer from problems such as a single assessment dimension, an emphasis on existing costs over incremental value, isolated data collection, failure to integrate real-time operational data from the Industrial Internet and market dynamic data leading to distorted residual value and adaptive value assessments, lack of a quantitative threshold system for decision-making, strong subjectivity, poor model adaptability to different scenarios, and the absence of a closed-loop optimization mechanism. Furthermore, existing remaining life assessments only consider physical wear and tear, and replacement decisions do not quantify multi-dimensional value increments, making it difficult to match the needs of enterprise value creation and profit growth. Therefore, this paper proposes a value assessment and replacement control method for printing and packaging equipment that integrates Industrial Internet and market data, is value-driven, has quantitative judgment capabilities, and is adaptable to multiple scenarios, thereby achieving full-process control of equipment assessment, decision-making, and execution. In addition, the printing and packaging industry is characterized by "small batches, multiple batches, high customization and multiple processes superimposed". The equipment needs to be frequently changed and adjusted. Its value depends not only on the physical condition of the equipment, but also on its ability to adapt to different printing processes and order structures. Existing methods have not quantitatively modeled these industry characteristics.
[0024] To solve the above problems, refer to the appendix. Figure 2 Based on the hardware device of the foregoing embodiments, embodiments of the present invention provide a method for evaluating printing and packaging equipment, comprising the following steps: S10: Acquire multi-source data of the target device; the multi-source data includes basic information data, operating status data, cost data, and market data.
[0025] In the specific implementation process, the target equipment is the printing and packaging equipment to be evaluated. The collection of multi-source data can be achieved by accessing the equipment control system (PLC) and the enterprise manufacturing execution system (MES) through the industrial internet platform. The basic information, operating status data and cost data of the target equipment are collected in real time. At the same time, the supply and demand data of the existing equipment trading market can be obtained from the equipment circulation and trading platform and industry associations to form a multi-source data fusion system. After data sorting, normalization and feature fusion, a unified dataset is formed.
[0026] Multi-source data can include basic information data, operational status data, cost data, and market data. Specifically, basic information data can include equipment model, manufacturing date, rated service life T, and initial purchase price V0; operational status data can include uptime, load rate, actual capacity, fault alarm records, maintenance records, printing quality inspection data (pass rate), cumulative operating time, and failure rate; cost data can include energy consumption costs, ink consumption costs, plate-making costs, labor costs, maintenance and repair costs, changeover and machine adjustment losses, downtime losses, and scrap disposal costs D; market data can include the market demand for existing equipment B. t Supply of existing equipment in the market (C) t .
[0027] S20: Based on multi-source data, obtain the state quantification parameters of the target device.
[0028] In the specific implementation process, based on the collected multi-source data, quantitative parameters characterizing the state of the target device are calculated. Specifically, based on the multi-source data, the quantitative parameters of the target device's state are obtained, including: Based on multi-source data, the real-time health index parameters, real-time remaining useful life parameters, dynamic residual value parameters, and remaining life cycle cost parameters of the target device are obtained.
[0029] In the specific implementation process, the real-time health index parameter, namely the real-time health index... HI t The calculation formula is as follows:
[0030] in, For the newness rate, = (Total service life - Years used) / Total service life; The process accuracy compliance rate refers to printing quality inspection data, including registration accuracy, color difference ΔE, dot reproduction rate, and printing stability indicators. For reliability, =1 - failure rate; To ensure real-time stability; For dynamic weights (satisfying) The formula is obtained by using the entropy weight method to calculate the historical operating data of the equipment and the printing process data. It reflects the current comprehensive operating status of the equipment and is calculated by weighting the newness rate, the process accuracy compliance rate, the reliability, and the real-time operating stability index.
[0031] The real-time remaining useful life parameter, i.e., the real-time remaining useful life (RUL), is calculated using the following formula:
[0032] Where T represents the rated service life of the equipment; For real-time health index; This is a wear correction factor; the greater the wear on the equipment, the more... The smaller the value, =1-(Cumulative operating time / rated lifespan).
[0033] Dynamic residual parameter, i.e., dynamic residual V t :
[0034] Among them, the supply and demand adjustment coefficient B t The demand for existing equipment is C, and the supply of existing equipment is C. t V0 represents the initial purchase price of the equipment; λ is the equipment depreciation coefficient, ranging from 0.05 to 0.3. λ is dynamically updated based on changes in equipment type, technological generation, and environmental standards. Under the dual influence of rapid technological iteration and upgraded environmental policies, the value of printing and packaging equipment in the secondary market fluctuates dramatically. This coefficient can promptly reflect the popularity and scarcity of specific equipment models in the secondary market, avoiding rapid depreciation due to outdated technology or failure to meet environmental standards. Dynamic residual value integrates equipment depreciation patterns with dynamic calculations of supply and demand in the existing equipment trading market, reflecting the impact of market changes on equipment residual value. By combining the depreciation model with the supply and demand coefficients of the existing equipment market, it achieves dynamic and accurate assessment of equipment value.
[0035] Remaining lifecycle cost parameter, i.e., remaining lifecycle cost The present value of the total cost over the remaining useful life of the equipment is calculated using the following formula:
[0036] in, Let t be the operating cost in year t (energy consumption + consumables + labor). The maintenance cost (maintenance + repair + spare parts) in year t. The downtime loss in year t; D is the discount rate, i.e., the company's cost of capital; V is the disposal cost (dismantling + transportation + environmental treatment); t Residual value is dynamic. Remaining lifespan cost. Discounting all costs incurred over the remaining useful life of the equipment yields the present value of the costs, reflecting the economic costs of subsequent investments in the equipment.
[0037] S30: Based on the state quantification parameters, obtain the comprehensive evaluation index of the target equipment; the comprehensive evaluation index is used to guide the retention evaluation of the target equipment.
[0038] In the specific implementation process, the current comprehensive evaluation index of the target equipment is obtained through the status quantification parameters. This index is used to guide the retention evaluation of the target equipment, that is, to determine the retention decision of the current equipment and whether the target equipment has reached the point where it needs to be replaced.
[0039] This invention utilizes multi-source data to achieve equipment evaluation, integrating multi-dimensional data such as basic equipment information, operating status, cost, and market to avoid the one-sidedness of single-dimensional evaluation and solve the problem of data silos. Based on multi-source data, the equipment status is quantified into parameters, and a comprehensive evaluation of the equipment is achieved based on these parameters. This provides a more accurate and comprehensive data support for the retention evaluation of printing and packaging equipment.
[0040] In one embodiment, the comprehensive evaluation index of the target device is obtained based on state quantization parameters, including: Based on real-time health index parameters, real-time remaining useful life parameters, and remaining life cycle cost parameters, a comprehensive evaluation index for the target equipment is obtained.
[0041] In practical implementation, the comprehensive evaluation index is obtained by integrating state quantification parameters, that is, the comprehensive evaluation index γ is calculated based on real-time health index parameters, real-time remaining useful life parameters, and remaining life cycle cost parameters.
[0042] in, HI For real-time health index, RUL For the real-time remaining service life, The remaining lifecycle cost is γ; K is the normalization coefficient used to normalize the γ index to a uniform evaluation range. Based on the threshold range of the comprehensive evaluation index γ, a clear equipment retention / replacement strategy can be formulated. That is, after obtaining the comprehensive evaluation index of the target equipment based on the state quantification parameters, the method also includes: Based on preset evaluation thresholds and comprehensive evaluation indices, the retention evaluation results of the target equipment are obtained.
[0043] By setting multiple different evaluation thresholds, multiple threshold ranges are obtained, corresponding to different response strategies. The evaluation results are retained, and the comprehensive evaluation index and response strategies are shown in Table 1 below: Table 1 - Comprehensive Assessment Index and Response Strategies
[0044] When an evaluation requires a replacement decision, i.e., when the evaluation result is to be retained or not, after obtaining the retention evaluation result of the target equipment based on a preset threshold and a comprehensive evaluation index, the method further includes: Acquire multidimensional incremental value data for the target new equipment; Based on one-time investment data and multi-dimensional value increment data, obtain the replacement value index of the target new equipment; Based on preset index thresholds and replacement value index, a replacement decision is obtained.
[0045] In the specific implementation process, the target new equipment refers to the equipment selected for replacement when the original equipment has been assessed as having no value to retain and needs to be replaced. The suitability of the initially selected new equipment is determined using a method that replaces manual experience. This method measures the increased value brought by the replacement equipment across multiple dimensions, compares it with the one-time investment in replacement, quantifies the return on investment after replacement into a replacement value index, and finally judges the optimal replacement strategy by applying a preset index threshold.
[0046] Specifically, the multi-dimensional value increment data includes: data on the increase in production capacity value, data on the increase in quality value, data on the increase in market adaptation value, and data on the increase in energy consumption and operation and maintenance savings value. Among them: The formula for calculating the increase in capacity value, i.e., the increase in capacity value ΔCV, is as follows:
[0047] in, The effective output per unit time of the new equipment. The effective output per unit time of the old equipment; Profit per unit of product (selling price - product dynamic cost); T is the annual effective operating time of the equipment. The increase in capacity value ΔCV reflects the profit increase brought about by the increased capacity of the new equipment.
[0048] The formula for calculating the increase in quality value, i.e., the increase in quality value ΔQV, is as follows:
[0049] in, The scrap rate of old equipment products, The scrap rate of new equipment products; For the annual output of the new equipment; This represents the cost of loss per unit of scrapped product. The increase in quality value, ΔQV, reflects the cost savings and value increment resulting from the reduced scrap rate and improved product quality brought about by the new equipment.
[0050] The formula for calculating the increase in market fit value, i.e., the increase in market fit value ΔFV, is as follows:
[0051] in, The first benefit of the new equipment due to its flexibility New order volume The corresponding order volume that the old equipment can handle; For the first The unit profit of each order type; N is the number of new order types. The increase in market adaptation value ΔFV reflects the incremental value brought about by the new equipment's technological upgrades, improved flexibility, adaptation to more order types, and entry into the high-end market. The number of new orders is determined based on the equipment's adaptability to different printing processes and order structures.
[0052] The data on the increase in energy consumption and maintenance value savings, i.e., the incremental energy consumption and maintenance value savings ΔEV, is calculated using the following formula:
[0053] in, The unit time energy consumption cost of the old equipment. Energy consumption cost per unit time for the new equipment; The unit time maintenance cost of old equipment The unit time maintenance cost of the new equipment is denoted as T; T represents the annual effective operating time of the equipment. The incremental value of energy consumption and maintenance savings ΔEV reflects the incremental value brought about by the reduction in energy consumption and maintenance costs of the new equipment.
[0054] In one embodiment, the replacement value index of the target new equipment is obtained based on the one-time investment amount data and multi-dimensional value increment data, including: Based on the data on the increase in value of production capacity, the increase in value of quality, the increase in value of market adaptation, and the increase in value of energy consumption and operation and maintenance savings, the total increase in value creation is obtained. Based on data on one-time investment in replacement and total value creation, the replacement value index of the target new equipment is obtained.
[0055] In the specific implementation process, value-driven development is the core, and equipment is positioned as the main value creator for profit growth. The Equipment Replacement Value Index (ERI) is calculated by quantifying the increase in total value creation of new equipment relative to old equipment.
[0056] in, The increase in total value creation in year t. ; i =k represents the discount rate; N is the valuation period; The risk adjustment factor (used to reflect the impact of market order volatility on value increment) is as follows: p t =σ t / μ t Where: σ t μ represents the standard deviation of order volume. t I represents the average order volume; I represents the one-time investment amount for replacement. New equipment purchase cost + installation and commissioning cost + personnel training cost + old equipment dismantling cost - old equipment dismantling residual value recovery (if the old equipment is retained, the residual value is calculated as 0).
[0057] By setting multiple different index thresholds, different threshold ranges are determined, based on the trade-in value index. ERI Based on the threshold range, a graded and quantitative replacement decision response is formulated to achieve standardization and scientification of replacement decisions. The range of replacement value index and corresponding decisions are shown in Table 2 below: Table 2 - Range of Replacement Value Index and Corresponding Decisions
[0058] This invention utilizes the γ index and ERI index to automatically determine the threshold for equipment retention and replacement, replacing manual experience. It employs industrial internet data collection, multi-source data fusion, algorithm modeling, and production system linkage to achieve coupled modeling of equipment status and order structure, dynamic residual value calculation, multi-dimensional value increment assessment, and automatic replacement decision-making. This improves assessment accuracy, reduces decision-making subjectivity, and optimizes production resource allocation. The decision results can be directly linked to production scheduling and equipment management systems, forming a technical closed loop of collection, calculation, decision-making, and execution.
[0059] See attached document Figure 3 In the attached Figure 3 The present invention will be further described in the embodiments shown below: First, multi-source data collection and fusion are carried out. The equipment PLC control system and the enterprise MES system are connected through the industrial Internet platform to collect basic equipment information, operating status data and cost data in real time. Supply and demand data of existing equipment market are obtained from equipment trading platforms and industry associations to form a unified dataset.
[0060] Basic parameters for this embodiment: Initial purchase price of equipment 10,000 yuan, rated service life Years used: 6 years, Discount rate Depreciation depreciation coefficient Market supply and demand correction coefficient Wear correction factor Normalization coefficient Annual operating costs Ten thousand yuan, annual maintenance cost Tens of thousands of yuan, annual downtime loss Ten thousand yuan, disposal cost Price: 10,000 yuan; Operating status data: Failure rate: 8%, Process accuracy compliance rate: 82%, Operating stability index: 0.75 Next, the equipment status is quantitatively calculated: Real-time health index :
[0061] Among them, the newness rate Process precision compliance rate Reliability Operational stability index Dynamic weights Substitute into the calculation:
[0062] Real-time Remaining Service Life (RUL):
[0063] Substitute into the calculation:
[0064] Dynamic residual value :
[0065] Substitute into the calculation:
[0066] Remaining lifecycle cost :
[0067] Total annual cost: Ten thousand yuan Present value of an annuity (approximately over 4 years):
[0068] Discounted residual value at the end of the period:
[0069] Remaining lifecycle cost:
[0070] Then, an automatic feasibility assessment of equipment retention is performed to obtain a comprehensive evaluation index. :
[0071] Substitute into the calculation:
[0072] Threshold determination: judgment If the value is less than or equal to 0.4, then a replacement is required; otherwise, the existing equipment can be retained. (In this embodiment...) If the value is less than 0.4, it is determined that the replacement decision process needs to be initiated.
[0073] The replacement assessment was then initiated, and multi-dimensional value increment calculations were performed: Incremental Value of Production Capacity :
[0074] Substituting: Annual production increase of 1.2 million prints, unit profit of 0.06 yuan / print:
[0075] Quality Value Increment :
[0076] Substituting the following: old scrap rate 3.2%, new scrap rate 1.1%, annual output 12 million prints, unit loss 0.2 yuan:
[0077] Market-adapted value increment : Profit from new high-end orders: Ten thousand yuan per year.
[0078] Energy consumption and maintenance savings increase value :
[0079] Substituting the figures: Annual energy savings of 25,000 yuan, annual maintenance savings of 30,000 yuan.
[0080] Total value increment :
[0081] Calculate the Replacement Value Index (REI) to automatically determine replacement decisions: Replacement one-time investment amount :
[0082] 5-year discounted net present value (risk-adjusted) ) Annual effective increment: Ten thousand yuan
[0083] Then replace with a new value index :
[0084]
[0085] The Replacement Value Index (ERI) is determined by checking if it is greater than 1. If it is, the replacement process can be directly initiated; otherwise, the selection of a new device needs to be changed, and a re-evaluation is required after the new device is selected. In this embodiment, the ERI is greater than 1, thus prioritizing the replacement process.
[0086] In this embodiment, through multi-source data fusion, equipment status quantification, retention assessment, value increment calculation and replacement decision-making, the accurate assessment and quantitative decision-making of the full life cycle value of printing and packaging equipment is achieved.
[0087] The calculation results show that the present invention can effectively solve the problems of single evaluation dimension, residual value distortion and strong decision-making subjectivity in traditional evaluation methods. It is suitable for the small-batch, multi-batch and highly customized production characteristics of the printing and packaging industry, and has practicality and significant industrial application value.
[0088] See attached document Figure 4 Based on the same inventive concept as in the foregoing embodiments, this embodiment of the invention also provides an evaluation device for printing and packaging equipment, comprising: The data acquisition module is used to acquire multi-source data from the target device; the multi-source data includes basic information data, operating status data, cost data, and market data. The state quantization module is used to obtain the state quantization parameters of the target device based on multi-source data; The comprehensive evaluation module is used to obtain the comprehensive evaluation index of the target equipment based on the state quantification parameters; the comprehensive evaluation index is used to guide the retention evaluation of the target equipment.
[0089] Those skilled in the art should understand that the division of the various modules in the embodiments is merely a logical functional division. In actual applications, they can be fully or partially integrated into one or more actual carriers. These modules can be implemented entirely in software through processing unit calls, entirely in hardware, or a combination of software and hardware. It should be noted that each module in the printing and packaging equipment evaluation device in this embodiment corresponds one-to-one with each step in the printing and packaging equipment evaluation method in the aforementioned embodiments. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned printing and packaging equipment evaluation method, which will not be repeated here.
[0090] Based on the same inventive concept as in the foregoing embodiments, embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when loaded and executed by a processor, implements the evaluation method for printing and packaging equipment provided in the embodiments of the present invention.
[0091] Based on the same inventive concept as in the foregoing embodiments, embodiments of the present invention also provide an electronic device, including a processor and a memory, wherein: Memory is used to store computer programs; The processor is used to load and execute computer programs to cause the electronic device to perform the evaluation method for printing and packaging equipment provided in the embodiments of the present invention.
[0092] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The computer may be a variety of computing devices, including smart terminals and servers.
[0093] In some embodiments, executable instructions may take the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a standalone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
[0094] As an example, executable instructions may, but do not necessarily, correspond to files in the file system. They may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple collaborative files (e.g., a file that stores one or more modules, subroutines, or code sections).
[0095] As an example, executable instructions can be deployed to execute on a single computing device, or on multiple computing devices located in one location, or on multiple computing devices distributed across multiple locations and interconnected via a communication network.
[0096] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a multimedia terminal device (which may be a mobile phone, computer, television receiver, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0097] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.
Claims
1. A method for evaluating printing and packaging equipment, characterized in that, Includes the following steps: Acquire multi-source data of the target device; wherein, the multi-source data includes basic information data, operating status data, cost data, and market data; Based on the multi-source data, the state quantization parameters of the target device are obtained; Based on the state quantification parameters, a comprehensive evaluation index for the target device is obtained; wherein, the comprehensive evaluation index is used to guide the retention evaluation of the target device.
2. The method for evaluating printing and packaging equipment according to claim 1, characterized in that, After obtaining the comprehensive evaluation index of the target device based on the state quantification parameters, the method further includes: Based on the preset evaluation threshold and the comprehensive evaluation index, the retention evaluation result of the target device is obtained.
3. The method for evaluating printing and packaging equipment according to claim 2, characterized in that, If the retention assessment result is "not to retain," after obtaining the retention assessment result of the target device based on the preset threshold and the comprehensive assessment index, the method further includes: Acquire multidimensional incremental value data for the target new equipment; Based on the one-time investment amount data for replacement and the multi-dimensional value increment data, the replacement value index of the target new equipment is obtained; A replacement decision is obtained based on a preset index threshold and the replacement value index.
4. The method for evaluating printing and packaging equipment according to claim 3, characterized in that, The multidimensional value increment data includes: data on the increase in production capacity value, data on the increase in quality value, data on the increase in market adaptation value, and data on the increase in energy consumption and operation and maintenance savings value.
5. The method for evaluating printing and packaging equipment according to claim 4, characterized in that, The process of obtaining the replacement value index of the target new equipment based on the one-time investment amount data and the multi-dimensional value increment data includes: Based on the data on the increase in production capacity value, the data on the increase in quality value, the data on the increase in market adaptation value, and the data on the increase in energy consumption and maintenance savings value, the total increase in value creation data is obtained. Based on the one-time investment amount data for replacement and the total value creation increase data, the replacement value index of the target new equipment is obtained.
6. The method for evaluating printing and packaging equipment according to claim 1, characterized in that, The step of obtaining the state quantization parameters of the target device based on the multi-source data includes: Based on the multi-source data, the real-time health index parameters, real-time remaining useful life parameters, dynamic residual value parameters, and remaining life cycle cost parameters of the target device are obtained.
7. The method for evaluating printing and packaging equipment according to claim 6, characterized in that, The process of obtaining the comprehensive evaluation index of the target device based on the state quantification parameters includes: Based on the real-time health index parameter, the real-time remaining useful life parameter, and the remaining life cycle cost parameter, a comprehensive evaluation index for the target device is obtained.
8. A device for evaluating printing and packaging equipment, characterized in that, include: The data acquisition module is used to acquire multi-source data from the target device; wherein, the multi-source data includes basic information data, operating status data, cost data, and market data; The state quantization module is used to obtain the state quantization parameters of the target device based on the multi-source data. The comprehensive evaluation module is used to obtain a comprehensive evaluation index of the target device based on the state quantification parameters; wherein the comprehensive evaluation index is used to guide the retention evaluation of the target device.
9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded and executed by the processor, it implements the evaluation method for printing and packaging equipment as described in any one of claims 1-7.
10. An electronic device, characterized in that, Including processor and memory, of which: The memory is used to store computer programs; The processor is used to load and execute the computer program to cause the electronic device to perform the evaluation method for printing and packaging equipment as described in any one of claims 1-7.