365 results about "Carbon neutrality" patented technology

The invention discloses a vertical large language model training method and system in the carbon neutralization field, and the method comprises the following steps: collecting data of the carbon neutralization field, carrying out the data preprocessing, constructing a carbon neutralization field knowledge base, and updating the carbon neutralization field knowledge base through a dynamic updating mechanism; performing dynamic semantic partitioning and vectorization coding on the text of the carbon neutralization domain knowledge base, and storing the text into a vector database; performing staged fine tuning on the pre-trained large language model based on a low-rank adaptation technology, wherein the fine tuning comprises general instruction fine tuning and carbon neutralization field professional fine tuning; a retrieval enhancement generation mechanism is adopted, knowledge fragments related to user query are retrieved through a vector database, and a large language model is input to generate answers. Compared with the prior art, the method has the advantages that the answer reliability is improved through conflict detection and source tracing, so that the large language model can more accurately adapt to knowledge requirements in the carbon neutralization field.

The invention discloses a carbon neutralization target-oriented electricity-carbon-green certificate multi-target scheduling optimization method and system, and relates to the technical field of carbon neutralization control, and the method comprises the following steps: obtaining first data of a target energy storage unit, constructing a constraint generation network, and dynamically updating an energy storage operation constraint domain based on a dynamic time warping algorithm; based on the updated operation constraint domain, establishing an electricity-carbon coupling model, extracting a nonlinear mapping relation between an electric energy output behavior and carbon emission intensity, and outputting a dynamic incidence matrix through a multi-dimensional time sequence predictor; constructing a carbon flow distribution topological graph according to the dynamic incidence matrix, and obtaining an optimal carbon flow path through a Dijkstra algorithm; based on the operation constraint domain and the optimal carbon flow path, establishing a multi-subject collaborative decision-making mechanism, solving a multi-target unit equilibrium solution by adopting a distributed alternating direction multiplier method, and generating a global scheduling instruction set; according to the method, a carbon flow topology and dynamic constraint domain cooperation mechanism is constructed, so that efficient solving of a multi-main-body carbon response optimization scheduling problem is realized.

The invention relates to the technical field of sewage plant-oriented carbon neutralization regulation and control scheme design, in particular to a sewage plant-oriented carbon neutralization regulation and control method and a sewage plant-oriented carbon neutralization regulation and control system. The method comprises the steps of collecting water quality, energy consumption and gas emission data in real time through a multi-source sensor, inputting the data into a space-time diagram convolutional network to predict a carbon emission trend after edge computing node cleaning, and dynamically optimizing an aeration rate and a sludge reflux ratio based on a fuzzy PID controller. A whole-process carbon footprint is tracked by adopting a life cycle evaluation method, a multi-target compensation strategy is generated in combination with an improved NSGA-III algorithm, and photovoltaic, biogas and green power resources are scheduled preferentially. A digital twin platform and a block chain evidence storage module are innovatively integrated, the former calibrates model parameters in real time, and the latter generates a non-tampering carbon neutralization voucher. According to the method, the problems of one-sided data, regulation and control lag and insufficient credibility of a traditional method are solved, and minute-level sensing, prediction and offset closed-loop control of carbon emission in the sewage treatment process is realized.

The invention relates to the technical field of power systems, in particular to a carbon neutralization-oriented peak-valley electricity price dynamic excitation mechanism design and user response prediction system, which comprises a data acquisition module, a load characteristic analysis module, a dynamic regulation and control module, a sample evaluation module and an execution module. The system obtains power grid operation, user power consumption behaviors and new energy power generation data through a multi-source data access interface, and realizes partition load optimization and new energy adaptation in combination with a load classification model, a dynamic excitation framework and an energy storage optimization scheduling scheme. The method can accurately predict the user response, optimizes the peak-valley electricity price strategy, improves the new energy consumption capability, and assists the realization of a carbon neutralization target.

The invention provides a carbon neutralization evaluation method for an ecological park, and the method comprises the steps: obtaining the basic data of various carbon assets in the ecological park, and the basic data comprises the natural ecological system carbon sink capability and human activity carbon emission intensity data; according to the carbon asset basic data, a time sequence analysis method is adopted to carry out modeling on the change trend of the carbon sink capacity and the carbon emission intensity, and a change trend model is obtained; modeling the spatial distribution of the carbon reserves and the carbon flux by utilizing a geographic information system technology and combining a change trend model to obtain a spatial distribution model; key variables are extracted from the spatial distribution model, and the effects of different factors on the carbon assets are quantified by adopting a multiple regression analysis method; acquiring carbon asset monitoring data, evaluating data quality, and if an abnormal value exists, performing correction by adopting a data cleaning algorithm; and according to the corrected carbon asset data, adopting a random forest model to predict the carbon sink capacity and the carbon emission intensity, and generating a dynamic evaluation result.

The invention provides a carbon neutralization path dynamic planning method and system based on carbon asset matching, and the method comprises the following steps: obtaining multi-source carbon asset data in an enterprise, a park or a region, and carrying out the preprocessing of the multi-source carbon asset data; the carbon asset value is dynamically evaluated by constructing the time-varying value evaluation model and comprehensively considering the change of factors such as policies, markets and technologies along with time, and meanwhile, various carbon assets are managed in a classified manner by constructing the four-dimensional asset matrix, so that the carbon asset management efficiency and benefit are remarkably improved; through supply side geographical matching and demand side time sequence matching, carbon asset supply and demand are accurately connected from space and time dimensions, cost and loss are reduced, an improved Bellman equation is applied, decision weight is dynamically adjusted under triple constraint conditions, carbon asset transaction and emission reduction measures are scientifically coordinated, and the utilization efficiency of carbon assets is improved; by constructing a reinforcement learning model, path planning is continuously optimized, and the scheme is ensured to be able to land and adapt to changes.

The invention discloses a shipping industry carbon emission prediction method based on fusion of multi-scale feature extraction and time sequence dependence analysis, and belongs to the field of carbon emission prediction and time sequence analysis. The method comprises the steps that historical shipping carbon emission data are acquired and preprocessed; performing multi-scale decomposition on the preprocessed data by adopting a complete ensemble empirical mode decomposition adaptive noise technology, generating n intrinsic mode functions and a residual sequence, inputting the n intrinsic mode functions and the residual sequence into a Transform model, obtaining data features of the intrinsic mode functions, inputting the data features into an LSTM model, and obtaining predicted n intrinsic mode functions and n residual sequences; and superposing all prediction results, carrying out smoothing processing to obtain a final carbon emission prediction result, and then obtaining a trained Transform model and a trained LSTM model to predict the carbon emission of the shipping industry. The method is suitable for practical application scenes such as shipping carbon emission supervision, carbon emission reduction policy evaluation and carbon neutralization path planning.

The invention relates to the technical field of cloud computing and data center energy efficiency optimization, and discloses a carbon neutralization-oriented cloud data center energy efficiency optimization method, which comprises the following steps of: 1, acquiring server computing load, power consumption, cooling state and carbon emission data of a data center based on a distributed sensor network; step 2, constructing an energy efficiency mathematical model of the data center based on a deep learning model of AI training; 3, training a task scheduling and cooling system optimization strategy based on a reinforcement learning agent; 4, analyzing the real-time carbon emission condition of the data center by using an AI prediction algorithm; 5, based on the carbon emission trend predicted by AI, triggering an intelligent carbon compensation strategy in combination with the real-time energy consumption condition of the data center; and step 6, dynamically adjusting task scheduling, a cooling control strategy and a carbon compensation scheme by adopting an AI adaptive learning method based on data feedback. And dynamic scheduling of calculation tasks of the data center is realized through a reinforcement learning agent trained by AI.

The invention relates to the technical field of carbon neutralization, and provides a carbon emission monitoring method and system based on agricultural carbon neutralization. The carbon emission monitoring method based on agricultural carbon neutralization comprises the following steps: constructing a multi-dimensional database based on carbon emission based on agricultural planting data of a current area, and determining dynamic characteristics of carbon emission; according to the carbon emission dynamic characteristics, constructing a dynamic analysis model, and determining a carbon neutralization efficiency index set; according to the carbon neutralization efficiency index set, a carbon emission thermodynamic diagram of the current area is constructed, the carbon emission thermodynamic diagram generates a key sensitive factor sorting sequence which is transformed in real time based on the carbon neutralization time-space evolution trend, and the color depth of the thermodynamic diagram is adjusted based on the key sensitive factor sorting sequence. According to the application, through multi-dimensional data fusion, dynamic coupling of respiration source analysis and metabolic entropy change, based on sensitive factor sorting and thermodynamic diagram rendering rules, meteorological sudden change response and edge calculation are combined, a monitoring result is displayed in real time through a thermodynamic diagram, and the carbon emission condition is determined.

The invention discloses an LCA-based fabricated building carbon neutralization analysis management system, and particularly relates to the field of analysis management, and the system comprises a data collection module, a life cycle analysis module, a carbon emission calculation module, a carbon neutralization strategy generation module, a visual display module, and a user feedback and optimization module. According to the invention, through integration of an Internet of Things sensor, a BIM model and a block chain technology, full life cycle links are automatically collected; the system quantifies the environmental influence of each stage by using a dynamic LCA model, calculates the carbon emission in real time, and generates a carbon neutralization strategy based on a multi-objective optimization algorithm, including renewable energy application and carbon compensation measures; through a visual tool and dynamic simulation, the system visually displays an analysis result and a strategy effect, and supports user interaction and parameter adjustment; a user feedback mechanism is combined with a reinforcement learning algorithm, system parameters and strategies are dynamically optimized, a'feedback-optimization-re-feedback 'closed loop is formed, and analysis precision and strategy feasibility are improved.

The invention provides an urban carbon neutralization path analysis system and an analysis method thereof. The urban carbon neutralization path analysis system comprises a data acquisition module, a data arrangement module, a region division module, a carbon balance calculation module, a path setting module, a path analysis module and a result output module, according to the invention, through regular rasterization region division, fine modeling of the city space is realized; the carbon sequestration capacity is dynamically estimated by combining multiple types of carbon sources and multiple types of vegetation carbon sequestration factors with an NDVI time sequence index, so that a carbon-oxygen balance calculation result has time sensitivity and spatial resolution; meanwhile, the path analysis module supports a user to set various energy structures, traffic modes and greenbelt lifting parameter combinations to form a multi-path parallel simulation matrix, the selection space of path decision is effectively expanded, the system can realize comparable carbon neutralization evolution analysis according to regions and time periods, and the effects of improving the analysis precision and enhancing the path deduction capability are achieved.

The invention discloses a building material mine carbon emission metering traceability method, which realizes full-chain accurate metering and credible traceability of carbon emission through multi-process division, multi-source sensing data acquisition, dynamic model correction and block chain traceability technologies. The method comprises the following steps: refining a building material mine production process into five main procedures of mining, raw material processing, calcining / sintering, finished product preparation and transportation, and deploying a multi-source sensor group to collect raw material quality, particle size distribution, energy consumption and waste gas emission data in real time; constructing a multi-layer carbon emission calculation model, and dynamically correcting emission factors in combination with a material balance method, life cycle evaluation (LCA) and a machine learning algorithm; determining a carbon emission distribution coefficient based on the product output proportion and the process contribution degree, and generating a block chain carbon footprint label; coupling a mine restoration carbon sink evaluation and deduction mechanism, and outputting a dynamic net carbon accounting report; and an abnormal emission early warning mechanism is integrated. According to the method, the accuracy of carbon emission metering is remarkably improved, and technical support is provided for building material mine carbon neutralization.

According to the low-concentration flue gas CO2 absorbent screening method, system, equipment and medium disclosed by the embodiment of the invention, the RF for feature screening and the XGBoost for performance prediction are combined to construct a high-precision physical property prediction model, so that the dependence on experimental data is reduced; by introducing an NSGA-II algorithm of an adaptive constraint processing mechanism, weights of key features are dynamically adjusted, a global optimal solution is ensured, the accuracy of the model is effectively improved, and industrial requirements are met. Finally, the low-concentration flue gas CO2 absorbent formula which is excellent in performance and economical and feasible is screened out, an efficient absorbent design scheme is provided for industrial application, the efficiency and economical efficiency of the CO2 capturing process are improved, the industrialization process of the CO2 capturing technology is promoted, and powerful technical support is provided for achieving the purposes of carbon emission reduction and carbon neutralization.

The invention discloses a carbon neutralization target setting and tracking system based on big data and an artificial intelligence technology, and relates to the technical field of carbon neutralization. The system comprises a plurality of key modules, a data acquisition module widely collects multi-source data of energy, industry, traffic, building, weather and the like, a satellite remote sensing data acquisition technology is introduced, and the carbon emission condition is comprehensively reflected; the data preprocessing module adopts a transfer learning technology to improve the processing efficiency; the big data storage module is combined with a block chain technology to guarantee data credibility; a reinforcement learning mechanism is integrated into a target setting sub-module of the artificial intelligence analysis module, a knowledge graph technology is introduced into a tracking analysis sub-module, and a carbon neutralization target is accurately set and tracked; the visual display module provides immersive experience by applying VR and A technologies; and the decision support module gives comprehensive decision suggestions in combination with a simulated annealing algorithm and a multi-objective decision theory. The system can scientifically set targets, accurately track the progress and intelligently assist in decision making, and provides powerful technical support for carbon neutralization.

The invention relates to the technical field of building energy consumption analysis, and discloses a building energy consumption and carbon neutralization analysis system based on big data analysis, which comprises an acquisition unit, an analysis unit, a calculation unit, a deficit unit, a judgment unit and a carbon neutralization management unit, and is used for generating a carbon neutralization management instruction of a target object according to a carbon neutralization urgency index, performance degradation of a target object along with increase of service life is captured, an analysis unit combines real-time carbon emission data of a power grid, generates a dynamic carbon track slope and reflects a carbon emission change trend in real time, a calculation unit performs segment processing on operation duration based on big data, and a complete-cycle carbon track vector is constructed. A healthy deficit degree and a stepped urgency index are generated through big data analysis of the deficit unit and the judgment unit, and finally a management instruction is output by the management unit, so that the problem of insufficient tracking of full-life-cycle energy consumption attenuation and carbon emission increment of a target object by traditional analysis is effectively solved, and the accuracy of long-term carbon neutralization planning is greatly improved.

Disclosed herein are systems and embodiments for improving energy efficiency of a chemical separations plant through heat integration. Heat integration may provide heating loops between distillation columns and / or integrated electric heating components configured to supply heat to reboilers in the chemical separations plant. Heat integration may use heat from an associated chemical synthesis plant configured to carry out an exothermic reaction (e.g., production of methanol from CO2 and H2). Such integrated process designs allow for the use of “low-grade” heat, thereby improving energy efficiency. Furthermore, such integrated process designs allow for electrification of exemplary chemical separations plants, replacing the use of steam as a heating medium with more energy efficient and carbon-emission neutral, electrical methods.

The invention provides a port carbon emission reduction optimization method and system, and the method comprises the steps: firstly obtaining a carbon emission reduction management parameter; under a plurality of constraint conditions established by taking old port equipment emission reduction transformation and elimination limitation, incremental port equipment type selection and scale limitation, carbon counteracting project purchase and counteracting carbon quantity limitation, carbon peak reaching and carbon neutralization limitation and energy and carbon emission limitation as constraints, a plurality of constraint conditions are established; according to the cost of an emission reduction and transformation technology, a first decision variable, a subsidy eliminated by each piece of port equipment in the year, a second decision variable, the number of fuel used in the year, the fuel price in the year, the number of types of newly-input port equipment in the year, the cost of the newly-input port equipment and the number of direct carbon counteracting items purchased in the year, the number of direct carbon counteracting items is calculated. And constructing a port comprehensive carbon emission reduction optimization model according to the number of indirect carbon offset items purchased per year, the number of carbon quotas purchased per year and the price of the carbon quotas per year, and calculating an optimal solution by adopting a solver, thereby obtaining an optimal comprehensive carbon emission reduction scheme to realize optimization of port carbon emission reduction.

The invention discloses a coal gasification slag-steel slag-based high-carbon-storage type filling material and a preparation method thereof, and belongs to the field of coal-based solid waste resource utilization and carbon emission reduction. The filling material comprises the following components in parts by weight: 100 parts of a cementing material, 10-20 parts of aggregate and 10-20 parts of water. 38 to 52 parts of aggregate; 24 to 40 parts of water; the cementing material comprises the following raw materials: 65-85 parts of coal gasification slag; 15 to 35 parts of steel slag; and 3.0 to 10.5 parts of a composite exciting agent. According to the method, the coal gasification slag can be consumed on a large scale, CO2 is fixed and stored through the carbonization reaction, and stable storage of CO2 is achieved through engineering application of a filling material; the problems of industrial solid waste treatment, carbon emission control, natural resource consumption, environmental pollution and the like are effectively solved, and good environmental protection benefits and practical values are achieved; the invention provides a new technical path for realizing solid waste resource utilization and carbon neutralization targets.

The invention relates to the technical field of carbon footprint accounting, in particular to a marine ranch carbon footprint accounting system and method, and the system comprises a data collection module which is used for collecting carbon emission and carbon fixation related data in the stages of construction, operation, maintenance and breeding; the carbon emission accounting module is used for calculating carbon emission of construction materials, energy consumption and equipment operation in stages; the carbon immobilization accounting module is used for obtaining the total carbon immobilization amount by calculating the carbon immobilization capacity of the cultured species; the life cycle prediction module is used for predicting the change trend of carbon emission and carbon fixation in the future based on the historical data and the growth or attenuation rate; the correction module dynamically adjusts a prediction result in combination with actual monitoring data; and the report generation module is used for outputting a full-life-cycle carbon footprint trend chart and a carbon neutralization target suggestion. According to the system, accurate accounting of the carbon footprint of the whole life cycle of the marine ranch is realized, the defects in the prior art are overcome, and a scientific basis is provided for carbon neutralization path planning of the marine ranch.

The invention discloses a power demand response system which comprises the following steps: S1, data acquisition and monitoring: the system acquires detailed power consumption data such as power consumption, power consumption time, power consumption power and the like of a user in real time through widely distributed intelligent electric meters, and uses sensors installed at key nodes of a power grid to determine the power consumption of the user; operation parameters such as voltage, frequency and load of a power grid are monitored in an omnibearing manner; and S2, data analysis and load prediction: fusing and sorting various types of data from a user side and a power grid side, and eliminating data format differences and repeated data. According to the power demand response system, a power consumption mode is remodeled through two-way interaction, the operation efficiency and economical efficiency of a power grid are improved, key support is provided for energy transformation and carbon neutralization targets, and the power demand response system is an important tool for achieving an intelligent power grid and a sustainable energy system and has wide application prospects. The successful implementation of the method depends on policy support, technical innovation and collaborative optimization of a user participation mechanism.

The invention belongs to the technical field of carbon footprint tracking management, and relates to a carbon neutralization-oriented building waste classification and cyclic utilization tracking method, which comprises the following steps of generating a physical-digital anchoring voucher bound with a source tracing data packet based on the obtained source tracing data packet; based on the physical-digital anchoring voucher, generating a waste tracing data object which records theoretical carbon emission reduction potential and is in a non-activated state; generating a transportation process consistency log based on the waste tracing data object; generating a terminal cross validation report based on the transportation process consistency log and the waste tracing data object; on the basis of the terminal cross validation report, updating the waste traceability data object by calculating the verified actual carbon emission reduction, and generating a verified emission reduction verification data packet; according to the method, the problems that the whole process lacks an anti-counterfeiting and tracing mechanism and the standardized development of the construction waste recycling industry is restricted due to the dispersity and tampering easiness of related information of the construction waste are solved.

The invention provides a pavement coating material with tail gas degradation and CO2 adsorption capacities and a preparation method thereof. Epoxy resin is used as a matrix, polyethyleneimine is loaded on fumed silica through an impregnation method to form a CO2 adsorbent, nano titanium dioxide and a long afterglow material are compounded to realize photocatalytic degradation of tail gas pollutants at the same time, the coating curing time is optimized by controlling the addition amount of polyethyleneimine, and the water resistance is ensured; the catalytic activity in a dark environment is maintained through the long afterglow material, and the coating can degrade NOx, CH and CO and adsorb CO2 under weak light and strong light. By balancing the proportion of adsorption and photocatalysis components, the limitation that a traditional material is single in function, high in light dependence and the like is broken through, efficient tail gas purification and CO2 adsorption are still maintained under the dim light / dark condition, the material is suitable for changeable scenes such as the urban road peak period, and a comprehensive solution is provided for road area pollution treatment and carbon neutralization targets.

The invention discloses an optimal scheduling method for an urban comprehensive energy system, which comprises the following steps: firstly, analyzing the carbon emission of various energy sources of the urban comprehensive energy system, secondly, establishing a comprehensive energy carbon emission optimization model with the minimum carbon emission as the target by taking carbon reduction as the target, and finally, calculating the optimal scheduling of the urban comprehensive energy system. And finally, solving the comprehensive energy carbon emission optimization model by adopting a particle swarm algorithm to obtain an optimal low-carbon operation scheme of each type of unit, and realizing low-carbon operation optimization scheduling of the urban comprehensive energy system. According to the invention, the carbon emission of the urban comprehensive energy system can be effectively reduced, the consumption level of the urban comprehensive energy system to wind and photoelectricity is also increased, deep integration of different energy systems is realized, large-scale utilization of renewable energy sources is promoted, economic, efficient and green utilization of energy sources is realized, the energy utilization level of cities is improved, and the economic benefit is increased. Implementation of low-carbon electric power is beneficial to realization of global carbon neutralization targets.

The invention relates to the technical field of waste-free city carbon emission, and discloses a method for evaluating waste-free city construction carbon emission reduction benefits, which comprises the following steps: collecting related data of waste-free city solid wastes in a reference year and a target year; according to an emission factor method and a WARM model, determining a carbon footprint, and calculating the total carbon emission amount of the solid waste; setting a plurality of carbon emission reduction scenes of a waste-free city construction target year according to relevant national and urban plans; based on a WARM model and carbon footprint setting, carbon emission under each carbon emission reduction scene is calculated; based on a carbon emission calculation result, evaluating a carbon emission reduction benefit under a waste-free city policy; according to the evaluation result, a policy optimization scheme is provided, a carbon emission reduction monitoring system is arranged, and the purpose of medium-and-long-term carbon neutralization is achieved. The method effectively solves the problems that current carbon emission reduction evaluation is not accurate and systematic tools are lacked, helps local governments to realize accurate emission reduction and dynamic adjustment of waste-free targets, and has important practical significance and popularization value.

The invention discloses a high-temperature solid oxide electrolyzed water hydrogen production system coupling photo-thermal power generation and thermochemical heat storage. The system comprises a power module, a thermochemical heat storage and air supply module, a water vapor supply module and a high-temperature solid oxide electrolyzed water module. The photo-thermal power generation system provides clean electric energy and high-temperature heat energy, the thermochemical heat storage module achieves high-density storage and on-demand release of heat energy through reversible reaction, the intermittent problem of renewable energy sources is solved, and high-temperature stable operation of an SOEC electrolytic cell is ensured. Through the coupling design of the thermochemical heat storage system and the SOEC, heat flow distribution is optimized, energy consumption of traditional electric heating is reduced, the external steam heating requirement and the hot air requirement are reduced, the total energy cost of hydrogen production is reduced, and the unit hydrogen production cost is remarkably reduced. The thermochemical heat storage module can stabilize the volatility of photo-thermal power generation, so that the system can still stably supply energy when sunlight is insufficient, the utilization rate of renewable energy sources is increased, clean production of green hydrogen is achieved, and the carbon neutralization target is met.

The invention discloses a method for analyzing sensitivity of terrestrial ecosystem carbon cycle to drought, and relates to the field of carbon neutralizer.The method comprises the steps that terrestrial ecological data are collected and preprocessed, a standardized soil humidity index is calculated, and a drought event is recognized through a three-dimensional clustering method; drought characteristics are extracted, the correlation degree of the standardized land ecological data and the drought characteristics is calculated by using a Pearson's correlation method, and importance degree sorting is performed on the standardized land ecological data in combination with an interpretable machine learning method to obtain main climate driving factors; analyzing the influence degree of the drought characteristics on the change trend of the main climate driving factors by using a multi-source linear regression method; and analyzing the influence degree of the main climate-driven factors on the carbon cycle during the drought period by using the partial correlation coefficient between the main climate-driven factors and the carbon flux. The invention discloses the change rule of the land carbon sink driven by different climates.

The invention discloses an ecological slope engineering carbon neutralization management system and method, and the system comprises a data collection layer which is used for collecting various data related to ecological slope engineering; the data processing layer is used for cleaning, converting and storing the collected data and uniformly processing the data with different formats and different sources; the analysis decision-making layer is used for analyzing the processed data, and the analysis comprises carbon emission estimation, carbon emission analysis, carbon sequestration calculation and carbon neutralization capability evaluation; the application display layer is used for displaying an analysis result to a user and providing decision support; and the application display layer supports a user to carry out real-time monitoring and remote control through a mobile terminal application. According to the ecological slope engineering carbon neutralization management system and the method thereof, the design is reasonable, a plurality of links such as data acquisition, processing, analysis, decision making and monitoring implementation are included, a complete ecological slope engineering carbon neutralization management system is formed, and energy conservation, emission reduction and sustainable development of ecological slope engineering can be achieved.

The embodiment of the invention discloses a carbon neutralization path planning method. The method comprises the following steps: acquiring carbon emission associated data of a target industry, and determining a plurality of future development scenes of the target industry according to the carbon emission associated data; and obtaining a carbon neutralization target of the target industry, and planning a carbon neutralization path suitable for the target industry according to the plurality of future development scenes and the carbon neutralization target. According to the technical scheme of the embodiment of the invention, the adaptability of carbon neutralization path planning can be improved.

The invention provides a strategy output method and device for urban carbon neutralization, which can be applied to the field of urban low-carbon management decision making. Calling a plurality of first indexes from a database, each first index including index data of a plurality of second indexes and time sequence data of carbon emission of the target city, wherein the first indexes include carbon emission characteristics, ecological environment characteristics and energy characteristics; searching a first weight of each first index from the scale matrix by using a search unit; based on an entropy method, generating a second weight of each second index according to the index data of the plurality of second indexes; according to a combined weight determined by the first weight and the second weight and index data of the second index, recommending a carbon neutralization capability grade matched with the target city for the target city; according to the time sequence data, generating a carbon emission state of the target city; and outputting a carbon neutralization management strategy for the target city according to the carbon neutralization capability grade and the carbon emission state.

The invention relates to a water supply network carbon emission real-time accounting method and system based on hydraulic power-energy consumption dynamic coupling. The invention relates to the technical field of urban water affair engineering and carbon neutralization, and the method comprises the steps: collecting hydraulic data, equipment energy consumption data and regional power grid data of a water supply network through a multi-source sensing layer, and carrying out the time alignment and data cleaning; a hydraulic power-energy consumption digital twinborn model is constructed, and the dynamic efficiency of the pump set is inversed in real time; predicting a real-time carbon emission factor of the regional power grid based on a deep learning model; establishing a virtual carbon flow conduction model based on a graph neural network or a topological structure, and carrying out dynamic tracking and calculation among pipe network nodes by taking the carbon emission intensity as a virtual substance; calculating a carbon leakage index; and finally, generating a pipe network carbon thermodynamic diagram and feeding back an optimization scheduling instruction. According to the method, the problems of factor staticization, low temporal-spatial resolution and incapability of stripping invalid carbon emission of a traditional accounting method are solved.