CN-122020606-A - MBSE-based climate adaptive agricultural machinery full life cycle depreciation rate accounting method

Abstract

The invention discloses a method for calculating the full life cycle depreciation rate of a weather-adapted agricultural machine based on MBSE, which comprises the following steps of S1, establishing a scatter data sequence, S2, establishing a working condition function of illumination and weather-adapted agricultural machine operation, S3, establishing a mechanical dynamics model, S4, establishing a mechanical-electrical-thermal coupling simulation model, S5, loading the working condition function into the mechanical-electrical-thermal coupling simulation model, S6, establishing a control model of the weather-adapted agricultural machine, S7, establishing an agricultural machine degradation rate function based on MBSE, and S8, establishing a depreciation function. The invention adopts the digital physical model taking depreciation rate accounting as a core target, can accurately restore the characteristics of the weather-adaptive agricultural machinery body, loads the full life cycle data of the weather-adaptive agricultural machinery based on the weather data model, is more suitable for the real working condition, and can realize high-precision calculation and evaluation of the depreciation rate of the weather-adaptive agricultural machinery of a specific type aiming at any working time.

Inventors

• SHI SHUAI
• Tong Chengxin
• LIU CHANGYU

Assignees

• 东北农业大学

Dates

Publication Date

20260512

Application Date

20260116

Claims (6)

1. 1. A MBSE-based climate adaptive agricultural machinery full life cycle depreciation rate accounting method, characterized in that the method comprises the following steps: Step S1, converting parameters of a local area corresponding to certain climate characteristics into thermal parameters according to annual history statistical data of a certain area, and establishing a scattered point data sequence taking time as a sequence; step S2, establishing a working condition function of illumination and climate adaptability agricultural machinery operation, processing a scattered point data sequence based on Matlab, and extracting a working section corresponding to temperature and precipitation; S3, extracting mechanical structure characteristics of the climate adaptive agricultural machine, and establishing a mechanical dynamics model of the climate adaptive agricultural machine based on ANSYS Motion; S4, extracting electrical structural characteristics of the climate-adapted agricultural machine, establishing an electrical model of the climate-adapted agricultural machine based on ANSYS Workbench, combining the electrical model with a mechanical dynamics model, and establishing a mechanical-electrical-thermal coupling simulation model of the climate-adapted agricultural machine; S5, taking a working condition function as a load coefficient, establishing a coupling relation between the working condition function and the mechanical-electrical-thermal coupling simulation model, and loading the working condition function into the mechanical-electrical-thermal coupling simulation model; s6, establishing a control model of the climate adaptive agricultural machine based on Matlab Simulink, and performing simulation analysis on the loss of the climate adaptive agricultural machine; Step S7, establishing an agricultural machinery degradation rate function based on MBSE, and establishing degradation data output through calculation data of mechanical loss, electrical loss and climate corrosion; and S8, combining the degradation data with the initial value of the climate adaptive agricultural machinery to establish a depreciation function.
2. 2. The MBSE-based climate adaptive agricultural machinery life cycle depreciation rate accounting method as claimed in claim 1, wherein in the mechanical dynamics model, a material property assignment is plotted against temperature.
3. 3. The MBSE-based climate adaptive agricultural machinery life cycle depreciation rate accounting method according to claim 1, wherein in the electric model, the material property assignment of the driving motor coil, the core circuit device and the like is a curve changing with temperature.
4. 4. The MBSE-based climate adaptive agricultural machinery life cycle depreciation method according to claim 1, wherein the climate adaptive agricultural machinery wear includes mechanical wear, structural deformation and fatigue, drive motor brush wear, corrosion and aging wear.
5. 5. The MBSE-based climate adaptive agricultural machinery life cycle depreciation method according to claim 1, wherein the MBSE-based agricultural machinery degradation rate function is expressed as: Wherein, the Is the first The comprehensive degradation rate of the agricultural machinery in the year, As a reference to the degradation rate, As a weight coefficient of the mechanical loss, Is the first The quantitative value of the annual mechanical loss, As the weight coefficient of the electrical loss, Is the first The annual electrical loss quantification value, As a weight coefficient for the weathering corrosion, Is the first The quantitative value of the annual climate corrosion, Is the first Annual job probability factor.
6. 6. The MBSE-based climate adaptive agricultural machinery life cycle depreciation method according to claim 1, wherein the expression of the depreciation function is: In the formula, As a basis constant term, i.e. a depreciation criterion, For the total service life of the utility model, For the number of years, The weather-adapted agricultural machinery physical regression coefficients calculated for the MBSE degradation models for the corresponding years, As a variable of the climate error, The working probability calculated by the climate adaptive agricultural machinery according to the past year working data is calculated, In order to be a link in which only the agricultural machinery participates, For all the links of the network, the network is provided with a plurality of links, Is a random error.

Description

MBSE-based climate adaptive agricultural machinery full life cycle depreciation rate accounting method Technical Field The invention relates to a method for calculating the full life cycle depreciation rate of a climate-adapted agricultural machine, in particular to a method for calculating the full life cycle depreciation rate of the climate-adapted agricultural machine Based on MBSE (Model-Based SYSTEMS ENGINEERING). Background The depreciation rate estimation, in particular for climate-adapted agricultural machinery, has an inseparable relationship with the climate influence and the actual working and degradation states of the agricultural machinery itself. Compared with the common agricultural machinery, the weather adaptation agricultural machinery such as the anti-winding caterpillar, the mini-tiller, the water pumping and waterlogging draining machine and the like has the remarkable characteristics of special weather adaptation, high efficiency, special operation adaptation and the like. The annual working time is short, the intensity is high, the non-climatic response or non-corresponding land working time is short, so that the depreciation rate estimation is greatly influenced by the intermittent working system, and the depreciation rate estimation precision is low due to the fact that the conventional constant degradation rate or linear degradation rate depreciation estimation method is difficult to accurately estimate the depreciation part. Aiming at the problems, on the basis of existing annual meteorological data, a digital method is used for establishing a degradation model of the climate-adapted agricultural machine, so that the degradation process of the climate-adapted agricultural machine in the conventional idle and working processes is more accurately simulated, the estimation accuracy of the depreciation part is improved, and the overall depreciation rate of the climate-adapted agricultural machine is more effectively estimated. Disclosure of Invention The invention aims to provide a MBSE-based calculation method for the full life cycle depreciation rate of a climate-adapted agricultural machine, which aims to provide a method for calculating the full life cycle depreciation rate of the climate-adapted agricultural machine by establishing a digital physical model taking the depreciation rate as a main target, loading a model load and climate time, the method is characterized in that a neural network algorithm is converted into a time sequence intensity sequence, the full life cycle degradation process is estimated, the depreciation rate of a specific type of climate adaptability agricultural machine for estimating any working time length is calculated, and the problem of inaccurate depreciation rate estimation is solved. The invention aims at realizing the following technical scheme: A MBSE-based climate adaptive agricultural machinery full life cycle depreciation rate accounting method, comprising the following steps: Step S1, converting parameters of a local area corresponding to certain climate characteristics into thermal parameters according to annual history statistical data of a certain area, and establishing a scattered point data sequence taking time as a sequence; step S2, establishing a working condition function of illumination and climate adaptability agricultural machinery operation, processing a scattered point data sequence based on Matlab, and extracting a working section corresponding to temperature and precipitation; S3, extracting mechanical structure characteristics of the climate adaptive agricultural machine, and establishing a mechanical dynamics model of the climate adaptive agricultural machine based on ANSYS Motion; S4, extracting electrical structural characteristics of the climate-adapted agricultural machine, establishing an electrical model of the climate-adapted agricultural machine based on ANSYS Workbench, combining the electrical model with a mechanical dynamics model, and establishing a mechanical-electrical-thermal coupling simulation model of the climate-adapted agricultural machine; S5, taking a working condition function as a load coefficient (temperature), establishing a coupling relation between the working condition function and a mechanical-electrical-thermal coupling simulation model, and loading the working condition function into the mechanical-electrical-thermal coupling simulation model; s6, establishing a control model of the climate adaptive agricultural machine based on Matlab Simulink, and performing simulation analysis on the loss of the climate adaptive agricultural machine; Step S7, an agricultural machinery degradation rate function based on MBSE is established, degradation data output is established through calculation data of mechanical loss, electrical loss and climate corrosion, and an expression of the agricultural machinery degradation rate function based on MBSE is as follows: Wherein, the Is the firstThe comprehensive deg