The present invention concerns a method for generating technical design solutions satisfying a given performance target for a building. The method comprises: selecting a design model for the building; selecting a first set of design parameters from a first database; qualifying and/or quantifying the design parameters in the first set; generating a first set of design parameter combinations from the first set of design parameters; attributing the first set of design parameter combinations to the design model to obtain a first set of design alternatives; accessing a second database to determine the impact of the first set of design alternatives on a performance of the building; and ranking the first set of design parameters according to their contribution to the performance of the building.

This application relates to an input data generating apparatus for generating forcing data used as input data for a climate change prediction model. In one aspect, the apparatus includes a memory storing instructions and a processor configured to, by executing the instructions, collect new ground type data from land-use harmonization (LUH) data that is restored through history database of the global environment (HYDE) and provided by the coupled model inter-comparison project (CMIP). The processor may also collect existing ground type data calculated by an existing model in a previous phase of the CMIP, generate aggregated ground type data by data-aggregating the new ground type data and the existing ground type data, with priority to the new ground type data. The processor may further generate the forcing data from the aggregated ground type data by performing a distortion correction on a data distortion that occurs during the data aggregation.

A method and system for generating a design of a product is provided. The method includes obtaining a model of the product. The model is associated with a design of the product. The method includes simulating a model of the product with respect to an environmental sustainability of the product. The method includes generating simulation results indicative of behavior of the model with respect to the environmental sustainability. The simulation results comprise an environmental sustainability index of the product. The method includes determining whether the environmental sustainability index of the product satisfies an environmental sustainability threshold value. Further, the method includes generating a modified model of the product if the environmental sustainability index of the product satisfies the environmental sustainability threshold value.

The present disclosure refers to a method and a system of sudden water pollutant source detection by forward-inverse coupling, including: building an one-dimensional forward water quality simulation model of a river way according to acquired mechanical parameters and water quality parameters; according to the one-dimensional forward water quality simulation model of the river way, measuring and calculating each monitoring index by using an inverse optimization source-detection model; by constructing the one-dimensional forward water quality simulation model of the river way, using the inverse optimization source-detection model for measurement and calculation; and performing the Bayesian updating, in order to realize multi-information fusion. The present disclosure may reasonably control and use different observation information, and combine the redundancy or complementarity of multi-sourced information in space or in time to obtain consistent interpretation of the measured object, thus overcoming the uncertainty of the water environment, improving the accuracy of water pollutant source detection.

Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

A measuring and monitoring system is proposed comprising a plurality of measuring sensors and measuring devices by means of which geographically cellularly delimited measuring parameters are acquired. The measuring parameters are aggregated to a BES index, wherein the measuring parameters are selected in relation to the desired measurement accuracy of the biodiversity and ecosystem services (BES) index. The measuring and monitoring system comprises selectable, various biodiversity and ecosystem services at least comprising measuring parameters for measuring the habitat intactness and/or pollination and/or air quality and local climate and/or water security and/or water quality and/or soil fertility and/or erosion control and/or coastal protection and/or food provision and/or timber provision. The measuring and monitoring system further permits the quantitative acquisition/measurement of risk indices based on the measured ecosystem services as a function of sectoral economic services.

An estimation and ranking method for carbon emission of individual life, which includes the following steps: collecting and acquiring personal daily life clothing, food, housing, and transportation data; performing fuzzy interval processing on the collected data, and calculating carbon emissions corresponding to each behavior expressed by the fuzzy interval number according to the carbon emission coefficient of each behavior; using fuzzy interval number addition, the carbon emissions corresponding to each individual behavior are added according to different time scales to obtain the fuzzy interval value of the total carbon emissions of the individual on different time scales; use the fuzzy interval number comparison method to obtain the ranking of the carbon emissions of individuals in a specific group on the same time scale. The present invention performs effective size comparison and ranking of personal carbon emissions within a certain group range, and the analysis result is reasonable and accurate.

A device for determining a carbon footprint of a computing infrastructure in real time, including a collector that collect equipment data that includes, for each computing equipment, a measurement of its energy consumption and its time-stamped location, a receiver that received, for each site, a carbon intensity value provided by an electricity supplier of the each site, and a consolidator that associated a carbon intensity value of the each site with each computing equipment according to the time-stamped location of the computing equipment. The consolidator calculates the carbon footprint of each computing equipment from the carbon intensity value that is associated and the energy consumption that is measured.

If a moving object in use at a certain time calculates and displays a reselling price thereof in real time, it is possible to use the reselling price effectively for determining the replacement time of the moving object, and recognize the asset value of the moving object in real time, to effectively use the reselling price when using a financial aid and the like.

The moving object calculates and displays a reselling price when using the moving object (in real time), using the acquisition price of the moving object, and at least one of the running distance and the number of days elapsed from the time of acquisition of the moving object.

This application relates to an input data generating apparatus for generating forcing data used as input data for a climate change prediction model. In one aspect, the apparatus includes a memory storing instructions and a processor configured to, by executing the instructions, collect new ground type data from land-use harmonization (LUH) data that is restored through history database of the global environment (HYDE) and provided by the coupled model inter-comparison project (CMIP). The processor may also collect existing ground type data calculated by an existing model in a previous phase of the CMIP, generate aggregated ground type data by data-aggregating the new ground type data and the existing ground type data, with priority to the new ground type data. The processor may further generate the forcing data from the aggregated ground type data by performing a distortion correction on a data distortion that occurs during the data aggregation.