A low-carbon potential analysis method based on a TRIZ system function model tool
By using the functional modeling tool of TRIZ theory, the carbon emission sources of electromechanical equipment are analyzed, a low-carbon system functional model is constructed, the problem of discovering low-carbon design issues in existing technologies is solved, and a systematic low-carbon optimization analysis is realized.
Patent Information
- Application Number
- CN202310564356.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-05-18
- Publication Date
- 2026-11-06
- Estimated Expiration
- 2043-05-18
AI Technical Summary
Existing technologies lack scientific and feasible methods to guide engineers in identifying low-carbon design problems in high-energy-consuming electromechanical equipment, especially in analyzing functions and components with excessively high carbon emissions.
Using a functional modeling tool based on TRIZ theory, through system functional description and interaction analysis, we identify the effects that are detrimental to low-carbon properties, construct a system functional model for low-carbon development, and analyze the potential for low-carbon optimization.
It provides a logically clear low-carbon optimization analysis process that can accurately and objectively identify and analyze low-carbon design problems, and guide the direction of low-carbon optimization.
Smart Images
Figure CN116595765B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of low-carbon optimization in the machinery industry, and relates to a low-carbon potential analysis method based on the TRIZ system functional model tool. Background Technology
[0002] Low-carbon potential analysis is crucial for identifying low-carbon design problems and is an important step before implementing low-carbon design. For high-energy-consuming electromechanical equipment systems, identifying the functions and components that cause excessive carbon emissions is difficult and requires a high level of knowledge in both mechanical design and low-carbon design. Most engineers rely on personal experience and subjective judgment when analyzing low-carbon optimization potential, lacking scientifically feasible guiding methods.
[0003] Functional modeling tools in TRIZ theory provide a method for discovering the optimization potential of equipment by analyzing the target system from a functional perspective. This method describes the function and role of components in an engineering system, providing a feasible workflow for functional analysis. However, it neglects carbon emission factors within the engineering system and cannot address the issue of low-carbon product design. Summary of the Invention
[0004] The purpose of this invention is to address the shortcomings of existing methods, focus on system carbon emissions, and provide an optimization potential analysis method based on TRIZ theory functional modeling tools and focusing on low-carbon design. This method is easy for users to operate and can accurately and objectively identify low-carbon design problems or contradictions.
[0005] A low-carbon potential analysis method based on the TRIZ system functional model tool includes the following steps:
[0006] Step 1: Analyze the main carbon emission sources of the equipment to be optimized;
[0007] Step 2: Define the scope of the system to be optimized as all system components associated with the low-carbon design problem to be optimized, i.e., determine the target system;
[0008] Step 3: Based on the optimization direction of the target system, and referring to the main functional definitions in TRIZ theory, perform a basic functional description of the target system and a functional description for low carbon emissions;
[0009] The basic functional description refers to the implementation of the system's functional actions;
[0010] The description of low-carbon functions refers to reducing or maintaining the carbon emissions of the target system.
[0011] Step 4: Based on the main functions and limitations of the target system, divide it into the system and the supersystem, and list all system components and supersystem components;
[0012] The supersystem refers to a system that includes the system being analyzed.
[0013] The supersystem components refer to the components that make up the supersystem;
[0014] Step 5: Based on the interaction type, use the TRIZ interaction analysis method to analyze the interactions between pairs of components, and describe the interactions with reference to the interaction representation method in TRIZ theory;
[0015] Step 6: Identify the effects that are detrimental to low-carbon properties: Based on the product's low-carbon design criteria, extract the effects that are detrimental to low-carbon properties from the interactions analyzed in Step 5, and identify the effects that are detrimental to the low-carbon properties of the target system.
[0016] The effect that is detrimental to low-carbon attributes refers to the effect that has a significant impact on the low-carbon attributes of the target system based on the low-carbon attribute determination results.
[0017] The low-carbon attribute determination refers to the determination of the low-carbon attribute of the system according to the product's low-carbon design criteria. In this invention, the low-carbon attribute determination criteria include determination based on the efficiency level of each mechanical transmission and determination based on the power loss and service life of each bearing.
[0018] Step 7: Create a system functional model for low-carbon systems;
[0019] The TRIZ system functional model is used to provide a systematic and visual description of the interactions between components:
[0020] Extract the components identified in step 4 as components in the system functional model, integrate the interactions between the pairs of components analyzed in steps 5 and 6 into the system functional model, and construct a system functional model for low carbon.
[0021] Step 8: Determine the low-carbon optimization potential: Based on the system functional model for low carbon established in Step 7, analyze the low-carbon optimization potential of the system.
[0022] Functional categories include useful functions, harmful functions, and functions that are detrimental to low-carbon attributes.
[0023] In step 1, the mechanism with the highest energy loss during the execution of the action is identified as the main source of carbon emissions;
[0024] Based on the system's optimization objectives, the low-carbon function description in step 3 is to reduce or maintain the carbon emissions of the target system.
[0025] When it is determined in step 6 that the low-carbon properties are harmful, the low-carbon properties of the interaction in step 5 are determined based on transmission efficiency and bearing power loss.
[0026] Transmission efficiency is classified into different levels to determine the low-carbon properties of the transmission method.
[0027] The bearing friction and power loss, as well as the basic rated life of the bearing, are analyzed to determine the low-carbon properties of the bearing type.
[0028] In step 7, a system functional model for low carbon is created:
[0029] Straight lines represent useful functions;
[0030] The curve represents a function that is detrimental to low-carbon properties.
[0031] Beneficial effects
[0032] This invention provides a method for analyzing the optimization potential of low-carbon design based on TRIZ theory's functional modeling tool. By focusing on low-carbon design and system carbon emissions, it provides a clear direction and basis for low-carbon optimization potential analysis. It introduces classic and widely used system functional models and functional analysis from TRIZ theory to describe and analyze low-carbon design problems in systems, leveraging the advantages of this tool in defining and analyzing models to better describe and analyze low-carbon design problems. The analysis process and detailed steps provided by this invention help users systematically analyze low-carbon optimization potential, providing an objective and feasible method and process for low-carbon potential analysis. Attached Figure Description
[0033] Figure 1 This is a flowchart illustrating the method described in this invention;
[0034] Figure 2 A diagram illustrating component category symbols;
[0035] Figure 3 A schematic diagram of interaction category symbols;
[0036] Figure 4 This is a schematic diagram of the interaction.
[0037] Figure 5 This is a schematic diagram of the system's functional model;
[0038] Figure 6 This is a schematic diagram of a system functional model for low-carbon systems.
[0039] Figure 7 This is a schematic diagram of a fruit-harvesting machine.
[0040] Figure 8 This is a schematic diagram of a flexible robotic arm;
[0041] Figure 9 for Figure 8 A schematic diagram of the corresponding system functional model for low carbon;
[0042] Figure 10 for Figure 9A diagram illustrating the corresponding low-carbon optimization potential.
[0043] Labeling explanation: 1-Flexible robotic arm, 2-Bottom segment, 3-Top segment, 4-Middle segment, 5-Drive wire, 6-Wire locking buckle, 7-Wire conduit fixing seat, 8-Guard wire conduit, 9-End effector, 10-Flexible housing. Detailed Implementation
[0044] The present invention will now be further described in conjunction with the accompanying drawings and embodiments.
[0045] A low-carbon potential analysis method based on the TRIZ system functional model tool, such as Figure 1 As shown, it includes the following steps:
[0046] Step 1: Analyze the main carbon emission sources of the equipment to be optimized;
[0047] Step 2: Define the scope of the system to be optimized as all system components associated with the low-carbon design problem to be optimized, i.e., determine the target system;
[0048] Step 3: Based on the optimization direction of the target system, and referring to the main functional definitions in TRIZ theory, perform a basic functional description of the target system and a functional description for low carbon emissions;
[0049] The basic functional description refers to the implementation of the system's functional actions;
[0050] The description of low-carbon functions refers to reducing or maintaining the carbon emissions of the target system.
[0051] Step 4: Based on the main functions and limitations of the target system, divide it into the system and the supersystem, and list all system components and supersystem components;
[0052] The supersystem refers to a system that includes the system being analyzed.
[0053] The supersystem components refer to the components that make up the supersystem;
[0054] Step 5: Based on the interaction type, use the TRIZ interaction analysis method to analyze the interactions between pairs of components, and describe the interactions with reference to the interaction representation method in TRIZ theory;
[0055] Step 6: Identify the effects that are detrimental to low-carbon properties: Based on the product's low-carbon design criteria, extract the effects that are detrimental to low-carbon properties from the interactions analyzed in Step 5, and identify the effects that are detrimental to the low-carbon properties of the target system.
[0056] The effect that is detrimental to low-carbon attributes refers to the effect that has a significant impact on the low-carbon attributes of the target system based on the low-carbon attribute determination results.
[0057] The low-carbon attribute determination refers to the determination of the low-carbon attribute of the system according to the product's low-carbon design criteria. In this invention, the low-carbon attribute determination criteria include determination based on the efficiency level of each mechanical transmission and determination based on the power loss and service life of each bearing.
[0058] Step 7: Create a system functional model for low-carbon systems;
[0059] The TRIZ system functional model is used to provide a systematic and visual description of the interactions between components:
[0060] Extract the components identified in step 4 as components in the system functional model, integrate the interactions between the pairs of components analyzed in steps 5 and 6 into the system functional model, and construct a system functional model for low carbon.
[0061] Step 8: Determine the low-carbon optimization potential: Based on the system functional model for low carbon established in Step 7, analyze the low-carbon optimization potential of the system.
[0062] Functional categories include useful functions, harmful functions, and functions that are detrimental to low-carbon attributes.
[0063] In step 1, the mechanism with the highest energy loss during the execution of the action is identified as the main source of carbon emissions;
[0064] Based on the system's optimization objectives, the low-carbon function description in step 3 is to reduce or maintain the carbon emissions of the target system.
[0065] When it is determined in step 6 that the low-carbon properties are harmful, the low-carbon properties of the interaction in step 5 are determined based on transmission efficiency and bearing power loss.
[0066] Transmission efficiency is classified into different levels to determine the low-carbon properties of the transmission method.
[0067] The bearing friction and power loss, as well as the basic rated life of the bearing, are analyzed to determine the low-carbon properties of the bearing type.
[0068] In step 7, a system functional model for low carbon is created:
[0069] Straight lines represent useful functions;
[0070] The curve represents a function that is detrimental to low-carbon properties.
[0071] To further illustrate the specific application of this method, an example is provided. The example demonstrates how process analysis identifies low-carbon optimization potential.
[0072] Figure 8 Taking a flexible robotic arm as an example, let's assume that the low-carbon design problem it faces is that the harvesting robotic arm loses the most energy during the fruit harvesting process.
[0073] Step 1: Analyze the main sources of carbon emissions from the equipment.
[0074] analyze Figure 7 The harvesting action of the fruit harvester shown in the figure shows that the harvesting robotic arm loses the most energy during the fruit harvesting process, thus identifying the harvesting robotic arm as the key mechanism that is the main source of carbon emissions.
[0075] Step 2: Determine the target system.
[0076] Based on the analysis of the main sources of carbon emissions from fruit harvesters, all system components of the low-carbon optimization mechanism are selected to form the target system, namely the entire harvesting robotic arm.
[0077] The harvesting robotic arm includes a flexible robotic arm 1, a flexible outer shell 10, a bottom segment 2, a top segment 3, a middle segment 4, a drive wire 5, a locking buckle 6, a conduit fixing seat 7, a gate conduit 8, and an end effector 9.
[0078] Step 3: Determine the main functions for low carbon based on the low carbon goals, including the function of harvesting fruit and the function of reducing carbon emissions of the target system.
[0079] Step 4: Analyze the components as shown in Table 1, including system components, supersystem components that have a direct interaction with the system, and target components.
[0080] Table 1 Initial Flexible Robotic Arm System Component List
[0081]
[0082] Step 5: Analyze the interactions between components to determine the interactions between contacting components, namely: the pulling effect of the drive pulley on the drive wire; the interference effect of the flexible shell on the drive wire; the guiding effect of the flexible shell on the fruit; the fixing effect of the top segment on the drive wire and the locking buckle; the supporting effect of the top segment on the end effector; the traction effect of the drive wire on the top and middle segments; the relative fixing effect of the middle segment on the drive wire; the changing position effect of the middle segment on the flexible shell; the blocking effect of the bottom segment on the drive wire; the supporting effect of the bottom segment on the fruit; the supporting effect of the conduit fixing seat on the flexible shell; the supporting effect of the flexible shell on the top and middle segments; the supporting effect of the sheet metal structural parts on the bottom segment and the conduit fixing seat; the fixing effect of the conduit fixing seat on the gate conduit; the fixing effect of the locking buckle on the drive wire; the providing passage effect of the gate conduit on the drive wire; and the feeding effect of the end effector on the fruit.
[0083] Step 6: Determine the effects that are detrimental to the low-carbon properties. The drive wire assembly in the target system is an open friction wheel drive. The effects that affect its transmission are determined to be detrimental to the low-carbon properties. These effects are: interference of the flexible shell on the drive wire, blocking of the drive wire by the bottom segment, fixing of the drive wire by the locking buckle, and providing passage to the drive wire by the gate tube.
[0084] Step 7: Establish a system functional model for low carbon.
[0085] Based on the component and function analysis in Table 1, for Figure 8 The components and functions of the harvesting robotic arm are graphically represented. The established system functional model for low-carbon development is as follows: Figure 9 .
[0086] Step 8: Identify low-carbon optimization potential.
[0087] according to Figure 8 The established system functional model identifies the system's low-carbon optimization potential. This potential primarily exists in the gate tube, bottom end section, locking clip, and flexible housing assembly, whose effects on the drive wire are detrimental to low-carbon properties. The identified low-carbon optimization potential is as follows: Figure 10 .
[0088] In summary, the method described in this invention can logically identify low-carbon design problems and analyze the system from a functional perspective, providing a feasible solution for addressing the inability to objectively and accurately identify key issues in existing systems where low-carbon design problems exist.
[0089] The above examples are merely illustrative of the technical content of the present invention to facilitate easier understanding by the reader, but do not imply that the implementation of the present invention is limited to these examples. Any technical extensions or re-creations made in accordance with the present invention are protected by the present invention, and the scope of protection of the present invention is defined by the claims.
Claims
1. A low-carbon potential analysis method based on the TRIZ system functional model tool, characterized in that, Includes the following steps: Step 1: Analyze the sources of carbon emissions from the equipment to be optimized; Step 2: Define the scope of the system to be optimized as all system components associated with the low-carbon design problem to be optimized, i.e., determine the target system; Step 3: Based on the optimization direction of the target system, perform a basic functional description and a low-carbon functional description of the target system based on the functional definition of TRIZ theory; The basic functional description refers to the implementation of the system's functional actions; The description of low-carbon functions refers to reducing or maintaining the carbon emissions of the target system. Step 4: Based on the main functions and limitations of the target system, divide it into the system and the supersystem, and list all system components and supersystem components; The supersystem refers to a system that includes the system being analyzed. The supersystem components refer to the components that make up the supersystem; Step 5: Based on the interaction type, use the TRIZ interaction analysis method to analyze the interactions between pairs of components, and describe the interactions with reference to the interaction representation method in TRIZ theory; Step 6: Identify the effects that are detrimental to low-carbon properties: Based on the product's low-carbon design criteria, extract the effects that are detrimental to low-carbon properties from the interactions analyzed in Step 5, and identify the effects that are detrimental to the low-carbon properties of the target system. The effect that is detrimental to low-carbon attributes refers to the effect that has a significant impact on the low-carbon attributes of the target system based on the low-carbon attribute determination results. The low-carbon attribute determination refers to the determination of the low-carbon attribute of the system according to the product's low-carbon design criteria. The low-carbon attribute determination criteria include determination based on the efficiency level of each mechanical transmission and determination based on the power loss and service life of each bearing. Step 7: Create a system functional model for low-carbon systems; The TRIZ system functional model is used to provide a systematic and visual description of the interactions between components: Extract the components identified in step 4 as components in the system functional model, integrate the interactions between the pairs of components analyzed in steps 5 and 6 into the system functional model, and construct a system functional model for low carbon. Step 8: Determine the low-carbon optimization potential: Based on the system functional model for low carbon established in Step 7, analyze the low-carbon optimization potential of the system; The equipment to be optimized is a fruit harvester; The low-carbon design problem to be optimized is that the harvesting robotic arm loses the most energy during the fruit harvesting process, as detailed below: Step a: Analyze the sources of carbon emissions from the equipment; Analyzing the harvesting action of the equipment, the harvesting robotic arm loses the most energy during the fruit harvesting process, thus identifying the harvesting robotic arm as the key mechanism for carbon emission sources. Step b: Determine the target system; Based on the analysis of the main sources of carbon emissions from fruit harvesters, all system components of the low-carbon optimization mechanism are selected to form the target system, namely the entire harvesting robotic arm. The harvesting robotic arm includes a flexible robotic arm (1), a flexible shell (10), a bottom segment (2), a top segment (3), a middle segment (4), a drive wire (5), a locking buckle (6), a conduit fixing seat (7), a gate conduit (8), and an end effector (9). Step c: Determine the main functions for low carbon reduction based on the low carbon goals, including the function of harvesting fruit and the function of reducing carbon emissions of the target system; Step d: Analyze the components, including system components, supersystem components that directly interact with the system, and target components; The system components include: pressure bar, compression spring, rotating rod, pull rod, pivot, fixed spring, base, slider, and needle ejector; The super system components include: flexible shell, bottom section, top section, middle section, drive wire, locking buckle, conduit fixing seat, sheet metal structural parts and gate conduit; The target component is the fruit; Step e: Analyze the interactions between components to determine the interactions between contacting components, namely: the pulling effect of the drive pulley on the drive wire; the interference effect of the flexible shell on the drive wire; the guiding effect of the flexible shell on the fruit; the fixing effect of the top segment on the drive wire and the locking buckle; the supporting effect of the top segment on the end effector; the traction effect of the drive wire on the top and middle segments; the relative fixing effect of the middle segment on the drive wire; the changing position effect of the middle segment on the flexible shell; the blocking effect of the bottom segment on the drive wire; the supporting effect of the bottom segment on the fruit; the supporting effect of the conduit fixing seat on the flexible shell; the supporting effect of the flexible shell on the top and middle segments; the supporting effect of the sheet metal structural parts on the bottom segment and the conduit fixing seat; the fixing effect of the conduit fixing seat on the gate conduit; the fixing effect of the locking buckle on the drive wire; the providing passage effect of the gate conduit on the drive wire; and the feeding effect of the end effector on the fruit. Step f: Determine the effects that are detrimental to the low-carbon properties. The drive wire assembly in the target system is an open friction wheel drive. The effects that affect its transmission are determined to be detrimental to the low-carbon properties. These effects are: interference of the flexible shell on the drive wire, blocking of the drive wire by the bottom segment, fixing of the drive wire by the locking buckle, and providing passage to the drive wire by the gate tube. Step g: Establish a system functional model for low-carbon systems; Based on the component and function analysis of steps d, e, and f, the components and functions of the harvesting robotic arm are graphically represented. Step h: Identify low-carbon optimization potential; Based on the established system functional model, the low-carbon optimization potential of the system is determined. The optimization potential exists in the gate tube, bottom section, locking buckle and flexible shell assembly, and its effect on the drive wire is detrimental to the low-carbon properties.
2. The low-carbon potential analysis method based on the TRIZ system functional model tool according to claim 1, characterized in that, In step 1, the mechanism with the highest energy loss during the execution of the action is identified as the main source of carbon emissions.
3. The low-carbon potential analysis method based on the TRIZ system functional model tool according to claim 1, characterized in that, Based on the system's optimization objectives, the low-carbon function description in step 3 is to reduce or maintain the carbon emissions of the target system.
4. The low-carbon potential analysis method based on the TRIZ system functional model tool according to claim 1, characterized in that, When it is determined in step 6 that the low-carbon properties are harmful, the low-carbon properties of the interaction in step 5 are determined based on transmission efficiency and bearing power loss. Transmission efficiency is classified into different levels to determine the low-carbon properties of the transmission method. By analyzing bearing friction, power loss, and basic rated life of the bearing, the low-carbon properties of the bearing type can be determined.
5. The low-carbon potential analysis method based on the TRIZ system functional model tool according to claim 1, 3, or 4, characterized in that, In step 7, a system functional model for low carbon is created: Straight lines represent useful functions; The curve represents a function that is detrimental to low-carbon properties.