7 results about "Emergy" patented technology

The invention belongs to the technical field of ecological value chain reconstruction, and discloses an ecological value chain reconstruction method for agricultural waste resource utilization and management, and the method comprises the steps: building an evaluation system of an agricultural waste resource treatment process based on a life cycle evaluation tool, recognizing the environmental influence factors of the process, and carrying out the reconstruction of an ecological value chain. Performing contribution analysis, uncertainty analysis and sensitivity analysis on the result by applying a statistical method, and screening out a process route with a relatively excellent evaluation result; a machine learning theory is combined, an energy value-carbon sink dual-core driving model is developed, energy value benefits and the like of agricultural waste resource utilization are evaluated, and basic theoretical support is provided for subsequent research; an AI ecological value chain platform is established, big data analysis is combined, an economic association and value conversion mechanism among elements in an ecological system is disclosed, and deep development of a management theory and an ecological economics theory in the agricultural field is promoted.

The invention discloses an ecological product value accounting method based on remote sensing data and an energy value theory, and relates to the technical field of ecological product value accounting, high-resolution remote sensing image data is acquired by using a remote sensing technology, and the method has the advantages of long-term time series, data acquisition continuity and space visibility. The limitation of replacing surfaces with points in the traditional method is effectively solved; according to the method, the energy value method is adopted to uniformly convert the real quantity of different forms into the solar energy equivalent, so that the interference of human subjective factors is effectively reduced, the objectivity of evaluation is improved, and the comprehensive quantitative evaluation of the value of an ecological product is realized. The remote sensing data is combined with the energy value method, so that comprehensive, objective and dynamic spatial evolution analysis of the value of the ecological product can be realized, dynamic monitoring and long-term comparative analysis of the value of the ecological product are realized, and good adaptability and practicability are shown.

The application discloses a data-driven manufacturing system sustainability evaluation and improvement method, which belongs to the technical field of manufacturing system sustainability evaluation and improvement, and specifically comprises the following steps: S1, obtaining process yield and material consumption data, and constructing an environmental load rate based on the material consumption data and a preset energy value conversion rate database; S2, obtaining photoresist sensitivity and production cycle coincidence, and establishing a nonlinear coupling relationship model for representing the coupling relationship between the process yield and the environmental load rate; and establishing a sustainability index calculated from the energy value output rate and the environmental load rate; S3, constructing a digital twin model with controllable process parameters as input and outputting predicted process yield and predicted environmental load rate; and then solving the optimal process parameters for maximizing the sustainability index through a reinforcement learning decision engine, and generating a process recipe to realize closed-loop control. The application solves the problem that the traditional method cannot comprehensively evaluate multidimensional performance.

The invention discloses a photovoltaic power station site selection method, device, equipment and medium based on energy value analysis and a GIS (Geographic Information System), and aims to quantify resource consumption, carbon emission and land occupation cost of photovoltaic power station construction by constructing a full-period construction energy value index system and effectively solve the problems that a traditional site selection method depends on subjective weighting and ecological cost is omitted. The scientificity of site selection decision and the environmental compatibility are improved, and the project development risk is reduced. Besides, dynamic geographical constraint screening and photovoltaic power station energy value evaluation calculation are adopted, compared with a traditional site selection method based on a complex optimization algorithm, calculation resource consumption is remarkably reduced, the method is particularly suitable for remote areas or computing power limited scenes, rapid analysis and scheme output can be achieved in a low-configuration hardware environment, and photovoltaic power station planning efficiency is improved.

The invention discloses a manufacturing system sustainability evaluation and improvement method based on data driving, and belongs to the technical field of manufacturing system sustainability evaluation and improvement, and the method specifically comprises the steps: S1, obtaining a process yield and material consumption data, and constructing an environment load rate based on the material consumption data and a preset energy value conversion rate database; s2, obtaining photoresist sensitivity and production takt conformity, and establishing a nonlinear coupling relationship model for representing a coupling relationship between a process yield and an environmental load rate; establishing a sustainability index obtained by calculating the energy value output rate and the environment load rate; s3, constructing a digital twinborn model which takes the controllable process parameters as input and outputs the predicted process yield and the predicted environmental load rate; the optimal process parameters used for maximizing the sustainability index are solved through a reinforcement learning decision engine, a process formula is generated to achieve closed-loop control, and the problem that the multi-dimensional performance cannot be comprehensively evaluated through a traditional method is solved.

The invention discloses a hydropower development river ecosystem service value accounting method, which comprises the following steps: constructing a hydropower development river ecosystem service value evaluation index system: according to river ecosystem characteristics, identifying a hydropower development river reach ecosystem service function, constructing a hydropower development river reach ecosystem ecological value evaluation index system, and calculating the hydropower development river reach ecosystem service value evaluation index system; an index value calculation method is determined based on energy value analysis and actual ecological benefits; calculating the service energy value of the river ecosystem for water and electricity development: converting the energy value of each service function by utilizing the material energy value conversion rate, respectively calculating the value of each service function, and summing the value of each service type to obtain the value of each service type; and finally, the values of the four service types are added to obtain the total service value EM of the ecological system of the hydropower development river reach. Technical means are provided for determining a reservoir regulation and control comprehensive target and improving reservoir operation comprehensive benefits.

The invention discloses a charcoal green contribution degree evaluation method based on energy values, carbon footprints and economy. The method specifically comprises the following steps: acquiring theoretical calorific value information; according to the theoretical heat value information, the product output rate of energy conversion and utilization information is calculated, and the energy conversion and utilization information comprises biomass, biochar and biogas; evaluating the energy conversion and utilization information through the product output rate by using an energy value evaluation analysis method, a carbon footprint evaluation analysis method and an economic evaluation method to obtain an energy value evaluation result, a carbon footprint evaluation result and an economic evaluation result; and obtaining a green contribution degree based on the energy value evaluation result, the carbon footprint evaluation result and the economic evaluation result.