6 results about "Financial evaluation" patented technology

The invention relates to the field of data processing, in particular to an energy storage market income measuring and calculating method based on a full-life-cycle financial model, and the method comprises the steps: constructing a basic parameter model; generating a market operation scene; determining a charging and discharging power track and an energy conversion path; calculating a scene-level income decomposition result; and calculating financial evaluation indexes, checking and selecting output or further optimization. By constructing a technology-market-finance three-layer coupled closed-loop measurement and calculation model, the physical realizability of income measurement and calculation is ensured, the price uncertainty is quantified into statistical distribution of finance indexes, whether the strategy is steady or not is evaluated, finally checking is performed, when checking is not passed, automatic tracing is performed for parameter adjustment, iterative calculation is performed again, and the accuracy of income measurement and calculation is improved. The problems of static distortion and low accuracy of the measurement result caused by dependence on single power market data and incapability of adapting to the battery attenuation condition are effectively solved.

The invention relates to the technical field of intelligent Internet of Things supply chain management, in particular to an intelligent Internet of Things-based supply chain platform data management system, which comprises a data acquisition module, a contract execution module, a node control module, a credit evaluation module and a data asset module. The data acquisition module acquires material physical state information to generate a supply chain panoramic data stream; the contract execution module extracts key performance data and automatically verifies the key performance data according to intelligent contract logic, and generates a credible contract execution signal if a condition is met; the node control module triggers logistics and storage nodes to automatically control and synchronously update resource state records according to the signals; the credit evaluation module extracts features to generate a financial evaluation vector and calculates a dynamic credible score; and the data asset module is packaged into a standardized asset packet to synchronously authorize the alliance node. The system can realize the technical effects of contract automatic execution, node linkage control, credit dynamic evaluation and alliance collaborative decision.

The invention discloses a credible data label construction and traceability method for a carbon financial scene, and relates to the technical field of general financial data processing. The method comprises a data label design module, a credible traceability module, a compliance out-of-domain module and an operation debugging module, a report is disassembled according to a carbon evaluation standard to form a full-amount label, and a power grid data index of a green electricity financial evaluation guide rule is 100% covered; a data quality evaluation system is established according to a two-dimensional traceability scheme, and an optimal mapping relation is screened to complete traceability; compliance out-of-domain is realized through the data transaction platform; and finally, outputting a carbon evaluation report through operation debugging. According to the method, the average time from data collection to report is shortened to 2.45 days from 31.1 days, the data quality index score is not lower than 99%, compliance and capitalization are both considered, the efficiency and scale of the common financial business are improved, and the financing cost of an enterprise is reduced.

The invention discloses a park low-carbon transformation financial evaluation and path optimization method based on a dynamic benchmark, and relates to the technical field of financial decision making, and the method comprises the steps: obtaining multi-source heterogeneous data of a park enterprise platform, and carrying out the credibility evaluation and timeliness analysis of the multi-source heterogeneous data; based on financial evaluation data and real-time monitoring data of Internet of Things equipment, a dynamic reference model is established by analyzing industry carbon emission trend and regional characteristics; based on the abnormal early warning signal and the elastic risk control strategy instruction set, automatically allocating a response event to a corresponding responsibility subject; generating a graded response instruction through a three-stage fusing mechanism; and synthesizing the hierarchical response instruction and the historical execution effect data, carrying out feature extraction and mode mining on the historical cases, and converting and outputting a transformation path scheme. According to the method, through multi-source data fusion and intelligent analysis, the risk identification and decision-making efficiency in the park low-carbon transformation process is remarkably improved, and it is ensured that the financial evaluation result has both accuracy and real-time performance.

The application discloses a kind of based on multi-specialty bill of quantities building SOFC power supply system economy evaluation method, it is related to distributed energy system economy evaluation technical field;The method takes the process, electrical, civil engineering, instrument control multi-specialty bill of quantities of building SOFC power supply project as core input, realizes evaluation by "list parameter analysis→dynamic investment estimation→multivariate financial evaluation→profit boundary determination" four general processes: first, the mapping rule of list and evaluation index is established, and the core parameters are extracted;Then, combined with regional quota and market benchmark price, a dynamic model is constructed to calculate the total investment;Introduce product maturity and operation parameter variable, calculate annual profit through general formula;Finally, the break-even point is determined by single-factor sensitivity analysis to determine the profit potential of the project.