88 results about "Life-cycle assessment" patented technology

The invention discloses a fatigue life simulation evaluation method for a lightweight aluminum alloy material of a new energy automobile, and relates to the technical field of material life evaluation. A microstructure image is collected, coupling features are extracted through machine learning, and heterogeneous data fusion and enhancement are completed; generating a topological optimization structure based on a GAN, introducing a VPSC model to describe anisotropy according to a stress gradient dynamic grid, and constructing a dynamic finite element model; fusing vehicle driving data, predicting a load by using LSTM, performing VMD decomposition and environment correction, and realizing space-time correlation load spectrum reconstruction; a phase field model is used in a microcosmic mode, cracks are tracked in a macroscopic mode through XFEM, damage parameters are transmitted in a bidirectional coupling mode, and multi-physics field coupling simulation is carried out; fusing simulation and test data by adopting Bayesian reasoning, calculating life probability distribution, and correcting parameters when errors exceed the limit; according to the method, the fatigue life prediction error is finally reduced, the time consumption of single simulation is reduced, full-life-cycle evaluation and visual early warning are realized, an efficient scheme is provided for lightweight design, and industrial technology upgrading is promoted.

The invention discloses a digital twinning and AI analysis sewage treatment control system, and relates to the technical field of sewage equipment control, and the system comprises the steps: deploying a sensor to obtain a sewage treatment acoustic signal to form an acoustic energy matrix, and synchronously obtaining the operation data of a treatment plant to construct an operation data matrix; fusing the acoustic energy matrix and the operation data matrix to form a high-dimensional data matrix; mapping the high-dimensional data matrix into a low-dimensional point cloud, constructing a point cloud adjacent matrix, recognizing topological features according to the adjacent matrix, analyzing abnormal topological features by combining persistent coherence with topological entropy, and calculating an abnormal confidence coefficient; and establishing a hierarchical agent based on the abnormal confidence coefficient, defining a reward function through life cycle evaluation, adjusting a hierarchical agent optimization strategy by adopting DDPG reinforcement learning, predicting the performance of the optimization strategy in combination with a multi-step prediction loss function, and outputting the optimization strategy. According to the invention, the control strategy of the sewage treatment equipment is continuously optimized, and the strategy implementation efficiency is improved.

The invention relates to the technical field of carbon emission, in particular to an on-chain enterprise carbon emission accounting method and system. The method comprises the following steps: acquiring energy consumption, process flow and supply chain collaborative data of an enterprise in links of raw material acquisition, production processing, logistics transportation, equipment operation and recovery processing through Internet of Things equipment, and generating a carbon emission data set; based on a life cycle evaluation theory, boundaries of direct emission, indirect energy emission and supply chain associated emission are divided, and enterprise-level, product-level and supply chain-level carbon emission accounting models are constructed. A machine learning algorithm is utilized to analyze production fluctuation data in real time, carbon emission factor weights and accounting boundary parameters are dynamically adjusted, and an accounting result is optimized. And outputting a result to a green purchase decision-making system, a carbon asset management system and a supply chain collaboration platform. The system integrates industrial Internet of Things equipment, block chain nodes and enterprise resource planning system interfaces, collects and verifies full-link data in real time, solves the problem of data collection, and improves the accounting reliability.

The invention discloses a crane full life cycle evaluation method based on digital twinning, and relates to the technical field of cranes, the method comprises the following steps: determining a primary loss structural component set and a secondary loss structural component set; constructing an initial digital twin structure model; performing time sequence updating on the initial digital twinning structure model to obtain a digital twinning structure monitoring model sequence; performing multi-receptive-field space-time state interaction enhancement on the digital twin structure monitoring model sequence, and determining digital twin space-time state features of the target crane; and carrying out life evaluation based on the digital twin space-time state characteristics of the target crane, and determining a full life cycle stage and a life evaluation result of the target crane. The technical problems that in the prior art, crane operation data analysis depth is not enough, so that full life cycle evaluation is not comprehensive, and hysteresis exists are solved. The technical effects of carrying out multi-level component interaction analysis on the crane and improving the accuracy of full-life-cycle evaluation are achieved.

The invention belongs to the related technical field of pressure tests, and particularly discloses a gas inlet pipeline test device for a gas generator, which comprises a first base and a second base, a round frame is fixedly mounted on one side of the upper end surface of the first base, an annular pipe is embedded in the round frame, and a connecting rod is mounted at one end in the annular pipe through an arranged telescopic mechanism. The outer side of the connecting rod is externally connected with a ring rod through an inner chuck fixedly connected in a sleeving mode, a sealing rotating ring is arranged on the outer wall of one side of the round frame, a test air inlet pipe movably penetrates through the sealing rotating ring in a penetrating mode, and a particle feeding simulation mechanism is arranged at the end, away from the sealing rotating ring, of the test air inlet pipe. By simulating multi-field coupling environments such as pressure fluctuation, particle scouring and mechanical vibration under real working conditions, the problem that data deviation is large due to the fact that complex working conditions cannot be reproduced in a traditional test is solved, and precise detection and full-life-cycle evaluation of the performance such as wear resistance, pressure resistance and blockage resistance of the pipeline are achieved.

The invention provides a carbon footprint tracing method and device suitable for a copper product, and relates to the technical field of carbon tracing. The method comprises the following steps: acquiring data of a copper product in a full life cycle, calling a preset emission factor library and an industry carbon intensity database, and calculating carbon emission of the copper product in the full life cycle by adopting a mixed life cycle evaluation method to obtain a carbon emission accounting result of each stage; based on the carbon emission accounting result of each stage, combining with a multi-region input-output model, constructing copper product supply chain carbon emission distribution throughout the country, and quantifying an inter-provincial implicit carbon flow path; using the structure decomposition analysis model to decompose the driving factors; and performing time sequence prediction and supply chain high-carbon node identification on the carbon emission accounting result and the trans-provincial carbon distribution data by using a deep learning model to obtain a carbon traceability result. The method is used in the carbon footprint tracing process of the copper product, and solves the technical problem that national scale copper product carbon flow tracking cannot be carried out in the prior art.

The invention relates to the technical field of livestock and poultry manure and crop straw resourceful treatment, and particularly provides a four-flow coupling full life cycle evaluation method for planting and breeding waste resource treatment based on a graph neural network, and the method comprises the steps: obtaining four-flow real-time working condition data representing a system state, and constructing a heterogeneous process map; constructing a topology generation network, and generating a group of candidate process topology adjacency matrixes; calculating to obtain a total topology expected value, a path robustness score and a reconstruction conversion cost corresponding to each candidate process topology adjacent matrix; and obtaining a final decision score, selecting the candidate process topology adjacency matrix with the highest final decision score as the optimal process topology, and outputting a self-adaptive execution strategy corresponding to the optimal process topology. According to the method, the limitation that only parameter optimization can be carried out in a traditional fixed technological process is broken through, and dynamic reconstruction of the whole technological topological structure is achieved.

The invention discloses a life cycle evaluation system and method and a computer program product, and belongs to the technical field of life cycle evaluation, and the life cycle evaluation system comprises a data acquisition module, an artificial intelligence prediction module, an environmental influence calculation module and a feedback and visualization module. The data acquisition module acquires original data in equipment operation; the artificial intelligence prediction module receives the original data and performs prediction to form resource flow data; the environment influence calculation module receives the original data and the resource flow data and converts the original data and the resource flow data into standardized life cycle evaluation indexes; and the feedback and visualization module displays the life cycle evaluation index and generates a parameter adjustment instruction. According to the invention, real-time environmental impact assessment and sustainable optimization in the hybrid manufacturing process are realized.

This application relates to the field of conveyor belt fire technology, and provides a method and system for assessing the fire hazard of conveyor belts based on surface elemental analysis. In this method, the degradation degree index of the target conveyor belt is calculated by analyzing the changes in the content of surface constituent elements over wear time. Once the degradation degree index passes reliability verification, a constructed degradation-combustion prediction model is used to calculate the fire risk index of the target conveyor belt over wear time. This avoids interference from environmental factors such as underground dust and humidity in traditional assessment methods, enabling full life-cycle assessment and diagnosis of conveyor belts under different wear states before a fire occurs, overcoming the lag in traditional early warning methods.

The invention relates to the technical field of carbon evaluation, and discloses an LCA-based power grid full-life-cycle carbon footprint evaluation method, system and device, and the key points of the technical scheme are that the method comprises the steps: obtaining all data of five stages of raw material mining, production and manufacturing, transportation and installation, operation and maintenance, and decommissioning and recovery covered by a target power grid system in the full life cycle; identifying typical equipment related to each stage and corresponding list data from all data of the five stages; on the basis of the LCA theory, carbon emission calculation sub-models of the typical equipment in the five stages of raw material exploitation, production and manufacturing, transportation and installation, operation maintenance and retirement recovery are constructed; according to all the carbon emission calculation sub-models, in combination with the life cycle evaluation database, establishing a full life cycle carbon footprint integrated evaluation model of the target power grid system; and operating the evaluation model, and calculating and outputting respective carbon emission, carbon emission paths and key emission reduction node information of the five stages.

The invention relates to the technical field of conveyor belt fire, and provides a conveyor belt fire risk assessment method and system based on surface element analysis. According to the method, the degradation degree index of the target conveying belt in the abrasion time is calculated according to the content change of the surface composition elements of the target conveying belt in the abrasion time, and when the degradation degree index of the target conveying belt in the abrasion time passes reliability verification, the target conveying belt is subjected to reliability verification according to the degradation degree index of the target conveying belt in the abrasion time. And calculating a fire risk index of the target conveyor belt in the wear time by using the constructed degradation combustion prediction model. Therefore, the situation that a traditional evaluation method is interfered by environmental factors such as underground dust and humidity is avoided, full-life-cycle evaluation and diagnosis of the conveying belt in different abrasion states are achieved before a fire disaster occurs, and the hysteresis quality of a traditional early warning mode is overcome.

The invention relates to the technical field of ecological restoration assessment, in particular to a restoration area full life cycle assessment method based on multi-source remote sensing and ground monitoring, and the method comprises the steps: firstly obtaining three types of multi-source data of satellite remote sensing, unmanned aerial vehicle / near-ground remote sensing and ground monitoring, and generating a unified reference data set through space-time alignment, quality control and restoration processing; multi-modal features are extracted and fused, and a spatial-temporal feature sequence representing the ecological state is formed; life cycle stages are automatically divided through the model, an evaluation index set is dynamically matched, and stage self-adaptive ecological health degree scores are calculated; and finally, predicting an ecological state change trend, judging a degradation risk and outputting spatialized early warning information. According to the invention, automatic and precise evaluation and degradation risk early warning of the life cycle of the ecological system in the restoration area can be realized.

The invention relates to a carbon footprint accounting method for a granulated blast furnace slag powder product, and the method comprises the following steps: determining a system boundary of carbon footprint accounting according to an international general life cycle evaluation standard; collecting primary data and secondary data according to the determined system boundary; integrating the primary data and the secondary data, and accounting the total carbon footprint in the boundary of the whole system; distributing the symbiotic products of the granulated blast-furnace slag powder by adopting a layered progressive distribution strategy to obtain a distribution result of the symbiotic products; and based on the total carbon footprint and the distribution result of the symbiotic products, obtaining the carbon footprint of the granulated blast furnace slag powder product. Compared with the prior art, the method has the advantages of scientificity, standardization and the like.

This invention provides a multi-dimensional adsorbent performance evaluation method, belonging to the field of performance evaluation technology. The method includes: conducting a first experiment on the adsorbent, recording the mass change of the adsorbent after each cycle, evaluating the adsorption performance of the adsorbent, and obtaining the first experimental results; conducting a second experiment on the adsorbent to determine the adsorbent's anti-sintering ability and cycle stability, and obtaining the second experimental results. The microscopic morphological changes, influences, and crystal structure of the adsorbent before and after the experiment are observed to obtain the microscopic characterization of the adsorbent. Based on the microscopic characterization, multi-scale simulation of the adsorbent is performed, and the simulation results are used to conduct a life cycle assessment of the adsorbent, obtaining the life cycle assessment results. A comprehensive performance evaluation of the adsorbent is conducted to propose optimization directions. The aim is to achieve efficient and low-cost carbon capture technology, promote the effective utilization of solid waste resources, and provide a systematic evaluation method to promote the development of carbon capture technology.

The invention relates to the technical field of environmental information and industrial carbon emission, in particular to a cloud analysis and scheduling method for cement telegraph pole carbon footprint calculation, which comprises the following steps: constructing a cloud unified data access layer, and collecting raw material, energy and production logistics full-link data in real time; on the basis of life cycle evaluation, eight process stages are divided, and a high-precision carbon footprint accounting model is established; performing multi-dimensional sensitivity analysis on the key process parameters through Monte Carlo simulation to generate a carbon emission scene probability map; outputting a low-carbon scheduling instruction according to the optimal scene, and driving an advanced plan scheduling system to execute emission reduction and production scheduling; and a long-short-term memory neural network is introduced to realize model self-learning. According to the invention, real-time monitoring, accounting and active optimization of carbon emission in the whole life cycle of the cement telegraph pole are realized.

The application relates to the technical field of booster station plant management, and discloses a booster station plant data acquisition self-control energy-saving management system. Through standardized collection and deep feature extraction of full-factor operation data of the booster station plant, an innovative combination of physical information neural networks and a Transformer architecture is adopted to establish a precise prediction system covering load changes, equipment efficiency attenuation and environmental coupling influence. Meanwhile, through data envelopment analysis and life cycle assessment methods, a dynamic evaluation mechanism in the double dimensions of energy efficiency and carbon emission is constructed. Based on the fusion of multi-objective optimization algorithms and model predictive control, a real-time control strategy considering economic operation and low-carbon constraints is formed, so that the dual goals of improving the overall energy efficiency level and the management accuracy of carbon emission of the system are achieved.

The invention provides a ship repair plant area carbon emission modeling and photovoltaic emission reduction evaluation method and system. The ship repair plant area carbon emission modeling and photovoltaic emission reduction evaluation method comprises the steps of processing energy activity data of a target area to obtain actual energy activity data of the target area; constructing a functional region carbon emission evaluation model based on the actual energy activity data of the target region by using a life cycle evaluation method; analyzing the whole life cycle of photovoltaic power generation in the functional area carbon emission evaluation model to obtain the whole life cycle carbon emission of photovoltaic power generation; and completing evaluation of photovoltaic emission reduction environmental benefits according to the full-life-cycle carbon emission. According to the method, regional activity data and a life cycle evaluation (LCA) method are creatively combined and applied to carbon footprint modeling of the ship repairing and manufacturing factory area, and a new method is provided for accurately quantifying factory area carbon emission; a photovoltaic system carbon emission evaluation mechanism with universality is constructed, the mechanism can effectively evaluate photovoltaic emission reduction benefits under different energy structures, and an emission reduction path which is implemented preferentially can be conveniently formulated.

The invention relates to the technical field of sanitation equipment management, and discloses a digital warehousing system for sanitation vehicle part storage, comprising: a processing module for processing various data of the warehousing system and issuing a control instruction to each module; the visual identification module is used for collecting appearance image information and storage location state image information of the parts; the weight detection module is used for detecting weight data of the parts; the intelligent goods shelf module is used for bearing parts and monitoring the running state of the goods shelf; and the life cycle management module is used for managing the life cycle of the part based on the related data of the part. The visual recognition module collects appearance images of parts in real time and captures abrasion and corrosion appearance changes, the weight detection module continuously monitors weight data of the parts, precise management of the life cycle of the parts of the sanitation truck is achieved, and the problems that the state of the parts is sensed unilaterally, life cycle evaluation is inaccurate, and the service life of the sanitation truck is influenced are solved. And parts are easily overused or scrapped in advance.

The application provides a comprehensive decision-making and evaluation method for halogenated hydrocarbon contaminated soil and groundwater remediation strategy, comprising: establishing a site baseline and conducting technical preliminary screening based on health and ecological risk assessment (HERA) and a three-level evidence system; conducting rapid resource efficiency assessment based on environmental footprint analysis (EFA); conducting global long-term assessment based on life cycle assessment (LCA) and cost-benefit analysis (CBA); and dynamic evaluation and closed-loop control based on digital twinning and multi-criteria decision analysis (MCDA) coupling. In the dynamic evaluation stage, an adaptive hybrid dynamic weighting mechanism is constructed, the subjective benchmark weight and the objective fluctuation weight calculated based on real-time data information entropy are integrated, and the comprehensive utility score is calculated; at the same time, the apparent degradation rate constant of the pollutant is solved in real time, and when it is lower than the target rate and the strategy is replaced, the intervention instruction is automatically output. The application realizes the deep integration of multi-dimensional indicators, dynamic adaptive evaluation and closed-loop intelligent regulation and control, and solves the problems of single, static and lack of feedback of the existing evaluation method.

A highlight element simulation optimization method and device, an electronic device and a storage medium relate to the technical field of optical engineering and digital twinning, and the method comprises the following steps: obtaining a performance index of a highlight element, and performing simulation analysis by using optical analysis software to obtain parameter information, and a sensor network is arranged around the element to collect thermal field data in real time. Based on the data, a digital twinborn model of the highlight element is constructed, dynamic simulation of the working process of the highlight element is realized, and surface precision data is obtained. And in combination with a preset surface precision threshold, a dynamic compensation strategy and optimization parameters are formulated, and real-time dynamic adjustment is carried out on the strong light element. The attitude and position of the element are accurately controlled through the six-degree-of-freedom parallel mechanism, and the surface precision is ensured to meet the design requirement. The problems that in the prior art, surface type changes in the working process are difficult to reflect in real time, full life cycle evaluation and closed loop feedback mechanisms are lacked, dynamic optimization cannot be achieved, the system performance is unstable, and the optimization effect is limited are solved.

This invention discloses a life cycle assessment system, method, and computer program product, belonging to the field of life cycle assessment technology. It includes a data acquisition module, an artificial intelligence prediction module, an environmental impact calculation module, and a feedback and visualization module. The data acquisition module collects raw data during equipment operation. The artificial intelligence prediction module receives the raw data and predicts resource flow data. The environmental impact calculation module receives the raw data and the resource flow data and converts them into standardized life cycle assessment indicators. The feedback and visualization module displays the life cycle assessment indicators and generates parameter adjustment instructions. This invention achieves real-time environmental impact assessment and sustainability optimization in hybrid manufacturing processes.

The invention relates to the technical field of energy data processing, in particular to a converter steelmaking process carbon emission distribution method and system based on theoretical energy consumption, and the method comprises the steps: building a theoretical energy consumption model, and determining the energy consumption in an ideal state through the theoretical energy consumption model through material balance and heat balance calculation; collecting daily actual production data; calculating the ratio of the historical monthly settlement data to the monthly accumulated data to obtain an energy data calibration correction coefficient; determining an energy distribution coefficient based on the energy consumption and the steel grade yield in the ideal state; calculating the energy consumption of each steel grade based on the energy consumption, the energy distribution coefficient and the energy data calibration correction coefficient; and calculating the carbon emission of each steel grade by adopting a life cycle evaluation method on the basis of the energy consumption of each steel grade and in combination with data of raw material consumption and solid waste. By accurately distributing energy consumption of different steel types in the steelmaking process, the accuracy of calculation of the carbon emission of the steel products is improved.

The application relates to the technical field of life prediction, and discloses a construction device life cycle evaluation system and method, which comprises a historical database module, a collection module, a judgment module and an adjustment module.The collection module is used for calculating the predicted residual life cycle of a to-be-monitored construction device based on analysis results, and obtaining a data fluctuation value according to a running data set; the running data set comprises current-time to-be-monitored construction device running data and previous-time to-be-monitored construction device running data; the judgment module is configured to compare the data fluctuation value with a fluctuation threshold value, judge abnormal data according to a comparison result, and judge whether the predicted residual life cycle needs to be adjusted according to a life influence factor; and the adjustment module is used for adjusting the predicted residual life cycle according to an adjustment coefficient to obtain an adjusted residual life cycle.The maintenance and replacement of the construction device can be more scientifically and reasonably arranged, unexpected shutdown and production loss caused by equipment failure are avoided, and construction efficiency and economic benefits are improved.

The invention discloses a sludge treatment route sustainability comprehensive evaluation method, which comprises the following steps: establishing an index system, each dimension comprising a positive effect index and a negative effect index; calculating the numerical value of each index in the index system based on a material flow analysis and full life cycle evaluation method; obtaining a change interval of each index value through Monte Carlo simulation; according to the index values and the change intervals thereof, processing by adopting a normalization method to obtain standardized values of the indexes; on the basis of the standardized value, a sustainability index is obtained through weighted summation calculation; carrying out uncertainty and global sensitivity analysis on the sustainability index; and based on the sustainability index, multi-scene applicability and regional applicability evaluation is carried out. According to the method, by constructing the four-dimensional index system and combining the whole-process material flow and life cycle analysis, Monte Carlo simulation and the multi-scene decision model, sustainable comprehensive quantitative evaluation and accurate decision support of the sludge treatment route are achieved.

This invention relates to the field of carbon footprint assessment technology, and discloses a method and system for allocating the carbon footprint of co-products based on life cycle assessment. The method includes: determining the chemical reaction equation based on the chemical reaction process of the process to be assessed; identifying all reactants and all co-products, and the corresponding balancing coefficient for each; calculating the sum of the balancing coefficients of all co-products as the total molarity baseline; calculating the carbon footprint allocation ratio for each co-product based on the ratio of the balancing coefficient of each co-product to the total molarity baseline; obtaining the total carbon footprint of the chemical reaction unit process; and allocating the total carbon footprint to each co-product according to the carbon footprint allocation ratio. This invention solves the technical problems of distorted results from existing mass allocation methods and the narrow applicability and computational complexity of energy allocation methods, achieving a scientific, accurate, and universally applicable allocation of carbon footprints.

One embodiment of the present invention sets forth a technique for processing a query of a life cycle assessment (LCA) database. The technique includes searching one or more hierarchical structures included in the LCA database for data nodes that match a set of parameters that is (i) included in the query and (ii) specifies one or more properties of an entity. The technique also includes upon determining that a data node includes an unknown consumption or an unknown emission, matching a second set of parameters associated with the data node to an entry in a cache and computing one or more environmental impacts based on a functional unit that is (i) included in the entry and (ii) includes a quantity associated with the unknown consumption or the unknown emission. The technique further includes causing the one or more environmental impacts to be outputted in a response to the query.

The application provides a forestry carbon sink project full life cycle measurement method and system based on digital twinning, relates to forestry carbon sink measurement, and comprises the following steps: acquiring multi-source heterogeneous basic data such as forest three-dimensional skeleton topology, carbon dioxide flux time sequence, mycorrhizal network distribution and meteorological data, coupling forest digital gene and ecological process tensor to generate a digital gene tensor field; then obtaining a double-path carbon flux field of dominant conduit transmission and implicit mycorrhizal transfer through carbon transmission inversion driven by a conduit bundle network; constructing a carbon sink phase change field based on a stability boundary constraint by analyzing a carbon sink phase change critical point; obtaining a carbon re-allocation map regulated by a biological network through a cross-scale carbon re-allocation path deduction; and finally outputting an optimized and adjusted carbon sink evaluation value through full life cycle carbon sink entropy optimization measurement processing. The application realizes the transformation from static estimation to dynamic simulation of carbon sink measurement, and significantly improves the accuracy and reliability of full life cycle evaluation of a carbon sink project.

This invention provides a green building life cycle assessment method and system based on pile foundation data. It acquires material and energy consumption data during the construction phase, including pile foundation data, and calculates the building's inherent environmental load by combining this data with an environmental impact factor database. During the service life, it collects pile foundation structural response monitoring data and uses a structure-foundation correlation model to invert and obtain the equivalent load time series of the superstructure reflecting the building's actual usage state. The equivalent load time series is input into a pile foundation performance degradation model to generate a maintenance plan and calculate the maintenance environmental load. Simultaneously, it identifies the building's actual usage mode and calibrates the building energy consumption model to calculate the operational environmental load. Based on the predicted state of the pile foundation performance degradation model at the end of the planned lifespan, it assesses the remaining bearing capacity of the pile foundation, formulates demolition, renovation, or reuse disposal strategies, and calculates the disposal environmental load. Finally, it summarizes the inherent, maintenance, operational, and disposal environmental loads to obtain the building's full life cycle environmental load assessment results.

The present application relates to a kind of data fluctuation evaluation method and system for life cycle assessment, the method comprises the following steps: according to the corresponding field data of life cycle assessment requirement acquisition;According to the simulation analysis object determined in advance, each simulation analysis object is simulated based on the field data for life cycle assessment, and the simulation is realized based on Monte Carlo method;The simulation result of the data analysis module is shown, and the data accuracy discrimination result is generated based on the simulation result and is shown.Compared with prior art, the present application can accurately evaluate the fluctuation of data, and finally can calculate the fluctuation of LCA result, thereby improving the reliability of life cycle assessment, can reduce the time length of data verification, and using the method of the present application can help enterprises reduce cost.