35 results about "Sustainability" patented technology

A computerized method for comprehensive ESG performance management quantifies multi-dimensional business value through integrated processes. A universal sustainability intelligence module receives ESG data from multiple sources, encompassing environmental, social, and governance information. An AI-driven performance intelligence engine generates sustainability insights using a universal framework that includes topic-agnostic insight generation, cross-topic opportunity optimization, universal project evaluation, and integrated pathway development. A multi-dimensional value quantification engine calculates business value metrics across cost reduction, revenue enhancement, risk mitigation, capital structure optimization, workforce value creation, supply chain sustainability, and intangible value creation. A causal linkage analysis engine establishes relationships between ESG improvements and business outcomes using attribution algorithms. A blockchain trust foundation stores immutable records using cryptographic verification. The system generates comprehensive ESG performance reports including sustainability insights, business value metrics, and verified attribution of business value to specific ESG improvements.

An enterprise system may include one or more devices with sensors that measure operational parameters of the devices. The enterprise system may also include a sustainability platform system that obtains a sustainability model representative of a state of operations of the enterprise based on the measured operational parameters and receives sustainability target data that includes one or more threshold limits, one or more ranges, or both for one or more sustainability parameters. The sustainability platform system may also obtain one or more action plans for adjusting respective operations of the devices based on the sustainability model and the sustainability target data, simulate a performance of the action plans over a period of time relative to the sustainability parameters, and determine whether the simulated performance of the action plans is effective.

Devices, systems, methods, and processes for sustainably reallocating resources based on within a plurality of computing nodes of a network, such as a managed network are described herein. Each computing node may be configured to transmit infrastructure data to an infrastructure monitor or ecosystem management tool. Additional sustainability data may also be accessed either internally or externally. The infrastructure data and sustainability data may be utilized to generate one or more scores that can be evaluated against each other. These scores may be configured to reflect various conditions or facts about the computing nodes including the overall sustainability. In order to increase sustainability levels, a variety of different resource configurations can be generated and evaluated against each other and the current configuration. When a more sustainable configuration is located, it may be applied by moving resources from originating computing nodes to destination computing nodes to achieve increased sustainability goals.

The invention relates to a method and a system for mammal detection. Furthermore, the invention relates generally to computer program product and a computer readable medium for executing the method. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

The present invention relates to managing and certifying energy transactions in an energy accounting system. The present invention provides a framework for receiving energies, organizing, and accounting energy-related transactions of the received energies through a general ledger and a chart of accounts. The present invention further enables tracking of the received energies through cryptographic certificates that are further convertible into exchangeable cryptographic artifacts for trading the energies. The present invention provides an ontology engine that normalizes energy-associated terminology to enable compliance with standardized terminology. A reporting manager generates detailed reports, for example, reports for Sustainable Development Goals (SDG) compliance, carbon net-zero assessments, and other sustainability metrics.

The application relates to the technical field of ecological environment protection, in particular to an ecological protection red line division method applied to ecological foundation investigation, which comprises the following steps: through ecological foundation data collection and processing, the service function and stability of an ecological unit are evaluated in combination with an ecological model, and then an ecological protection red line region is demarcated. Through spatial superposition analysis and conflict analysis of a land use status, the boundary of the red line region is optimized, and real-time adjustment is carried out based on ecological risk evaluation and a dynamic monitoring mechanism. In combination with a deep learning and a reinforcement learning algorithm, dynamic monitoring and flexible adjustment of the red line region are realized, the sustainability and safety of an ecological system are guaranteed, through GIS technology and an early warning mechanism, intelligent management of the ecological protection red line is realized, the scientificity and effectiveness of the ecological protection red line region are ensured, and reliable guarantee is provided for long-term stable development of the ecological system.

An enterprise system may include one or more devices that perform respective operations of an enterprise and a sustainability platform system. The sustainability platform system may obtain a sustainability model representative of a state of operations of the enterprise and sustainability target data of target constraints on one or more sustainability parameters of the enterprise. Additionally, the sustainability platform system may identify one or more abatement technologies from a database of multiple abatement technologies based on the sustainability model and the sustainability target data and generate a sustainability action plan for implementing at least one abatement technology of the identified abatement technologies such that the at least one abatement technology, when implemented via the sustainability action plan, is estimated to satisfy the sustainability target data. The sustainability platform system may also send commands to the devices to adjust their respective operations according to the sustainability action plan.

A platform may store data relating to sustainability actions performed by a first in a plurality of network-based non-transitory storage devices having a collection of impact tracking metrics generated based on sustainability actions to promote sustainability of the earth. The platform may further provide remote access so any entities can update the data based on updated actions performed to promote sustainability in substantially real time through a user interface. The updated data for an entity may be in a different form depending on their entity type. The platform may further generate impact tracking data for the first entity based on the update, store the impact tracking data for the first entity in the collection of impact tracking data, automatically generate a notification comprising the impact tracking data for the first entity; and transmit the notification about the impact tracking data in substantially real-time.

The invention discloses an SDGs-oriented natural resource sustainability comprehensive evaluation and partition governance method, relates to the technical field of resource environment management, and solves the problem that an existing natural resource evaluation method cannot deeply mine a systematic coupling relationship between resources. The method comprises the following steps: constructing a natural resource sustainable development index system for an evaluation unit, and constructing multiple types of index data; determining a three-level three-class label of the index data, and calculating a dynamic weight of the index data; identifying short board resources in the evaluation unit, and calculating a short board index; determining the contribution degree of the comprehensive SDGs in the evaluation unit; by taking the short board index and the comprehensive SDGs contribution degree as key features, constructing a data set for all the evaluation units, performing clustering analysis on the data set to determine a governance label of each evaluation unit, and matching differentiated governance schemes according to the governance labels; according to the method, the problems of scattered evaluation objects and single view angle in the existing research are solved, and the spanning from local and static analysis to systematic and dynamic diagnosis is realized.

The present disclosure generally relates to an uncrewed surface vessel (USV) for performing remote offshore projects, the USV comprising at least one launch and recovery system, arranged to deploy a payload from the deck into the water The present disclosure further relates to a method of deploying a payload from an uncrewed surface vessel. Unlocking insights from geodata, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

A method may include receiving a sustainability model indicative of expected sustainability parameters associated with implementing action plans that correspond to enterprise operations of an enterprise over a period of time, such that the enterprise operations correspond to production data performed in a hydrocarbon production system, facility data corresponding to buildings associated with the enterprise, or both. The method may also include receiving an indication to optimize one sustainability parameter and identifying an engineering workflow system that improves a first sustainability parameter associated with the one sustainability parameter. The method may involve sending the sustainability model to the engineering workflow system and receiving an action plan to improve the sustainability parameter, such that commands may be sent to devices based on the action plan to cause the one or more devices to adjust one or more respective operations.

The invention provides an intelligent moral decision-making and target auditing system, and aims to perform auditing evaluation on strategic decisions or targets submitted by users in terms of moral and value under the assistance of artificial intelligence. The system comprises a target analysis module, a value comparison module, an influence prediction module, an audit evaluation module, an optimization suggestion module, an interaction feedback module and the like: firstly, target extraction key information is analyzed, then consistency between a target and human common value and user value is examined by comparing a built-in ethical principle library, and consequences and risks of target implementation are predicted in combination with a domain model; and the system integrates the results to carry out moral conformity scoring and risk rating on the target, and outputs a detailed value analysis auditing report. For the found problem, the system gives a suggested scheme for modifying or optimizing the target, such as adjusting a target index and increasing a moral constraint condition, and allows a user to interact feedback preferences to iteratively perfect the target. Through the above process, automatic auditing and optimization of the human target by the AI as a moral advisor are realized, and it is ensured that the decision-making target meets the requirements of moral specifications, long-term benefits and sustainable development in the making stage. The technology that the wisdom layer directly acts on the intention layer fills the blank of existing AI governance, organizations and individuals are helped to avoid decision directivity errors, and decision moral and sustainability are improved.

A method may include receiving a sustainability model indicative of a plurality of expected sustainability parameters associated with enterprise operations of an enterprise over a period of time. The method includes receiving a plurality of action plans for the enterprise, such that the plurality of action plans corresponds to operational characteristics of a plurality of devices that correspond to the one or more enterprise operations. The method receives sustainability variables associated with sustainability parameters for the enterprise operations, simulating a plurality of sustainability variables associated with performing the plurality of action plans over time with respect to the sustainability variables, determining a plurality of effectiveness values associated with performing the plurality of action plans relative to the sustainability variables, presenting the plurality of action plans with the one or more effectiveness values. The method includes sending commands to devices of the plurality of devices based on a selected action plan.

The invention discloses a method and a system for constructing a multi-dimensional state sustainability evaluation index system of a nano-micro grid group. The method comprises the following steps: constructing four key sustainability indexes of economy, environment, technology and society; the key sustainability indexes are subdivided into sub-indexes such as electric power cost, operation and maintenance cost, initial investment cost, return on investment, CO2 emission, land utilization, unsatisfied load, excess electric quantity and the like; the comprehensive value of economic, environmental, technical and social indicator priorities is calculated using a neural network expert system. In one embodiment, seven microgrid scenarios that integrate locally accessible resources are scored and ranked with iHOGA PRO + software to determine an appropriate configuration. Compared with the existing method, the method provided by the invention is helpful for related policy formulators and investors to better plan the micro-grid on the basis of sustainable development.

The present invention relates to managing and certifying energy transactions in an energy accounting system. The present invention provides a framework for receiving energies, organizing, and accounting energy-related transactions of the received energies through a general ledger and a chart of accounts. The present invention further enables tracking of the received energies through cryptographic certificates that are further convertible into exchangeable cryptographic artifacts for trading the energies. The present invention provides an ontology engine that normalizes energy-associated terminology to enable compliance with standardized terminology. A reporting manager generates detailed reports, for example, reports for Sustainable Development Goals (SDG) compliance, carbon net-zero assessments, and other sustainability metrics.

A method for determining physical properties of a subsurface target volume is provided as well as a system and computer readable medium for performing the method. Unlocking insights from geologic data, the invention further relates to improvements in sustainability and environmental development: we co-create a safe and livable world. The method includes dividing a portion of the method into subtasks, wherein the subtasks are distributed among a network of computing devices of a network and executed in parallel. Unlocking insights from geologic data, the invention further relates to improvements in sustainability and environmental development: we co-create a safe and livable world.

The invention discloses an urban and rural landscape sustainable geographic design method based on random optimization and deep learning. According to the method, land utilization type data, geospatial data, environmental data and social economic data of a to-be-optimized area are utilized, four ecological system services including grain supply amount, carbon reserve, water conservation amount and culture service value are taken as optimization indexes, and calculation mode information of the indexes is input into an urban and rural landscape sustainable geographic framework; and predicting a high-probability change region through an artificial neural network model, performing iterative optimization on a current land utilization scheme by taking landscape sustainability as a target guide through a simulated annealing algorithm, and driving generation of an urban and rural landscape sustainability global optimal land utilization scheme. According to the method, a land utilization scheme with remarkable and better ecological indexes can be generated, multi-party benefit conflicts are efficiently coordinated, a flexible framework supports multi-target extension, and support can be provided for complex planning decision making.

This invention discloses a comprehensive assessment and regional governance method for the sustainability of natural resources oriented towards the SDGs, belonging to the field of resource and environmental management technology. It addresses the problem that existing natural resource assessment methods fail to deeply explore the systemic coupling relationships between resources. The invention includes constructing a sustainable development indicator system for natural resources within assessment units, building multiple types of indicator data; determining three-level, three-category labels for the indicator data, and calculating the dynamic weights of the indicator data; identifying weak resources within the assessment units and calculating the weakness index; determining the comprehensive SDG contribution within the assessment units; using the weakness index and comprehensive SDG contribution as key features to construct a dataset for all assessment units; performing cluster analysis on the dataset to determine the governance label for each assessment unit; and matching differentiated governance schemes based on the governance label. This invention overcomes the problems of fragmented assessment objects and single perspectives in existing studies, achieving a leap from local, static analysis to systemic, dynamic diagnosis.

Assessing sustainability performance of an enterprise is a challenging task. Embodiments of present disclosure provide a method and system for SDG performance assessment of an enterprise with a conceptually simpler data model and processing pipeline. Enterprise data collected from hard and soft sensors is mapped to appropriate indicators of the SDGs. Further, a semantic network is constructed with nodes corresponding to each indicator and edges connecting nodes belonging to same SDG. Each node of the semantic network is further linked to a first layer of a neuro fuzzy network which calculates degree of impact of the indicator on Social, Economic and Environment values. Output of the first layer activates second layer of the neuro fuzzy network which determines BBV scores indicating whether the indicator is a burden, benefit, or vulnerability. The BBV scores are transformed to a colour space to generate a colour that indicates SDG performance of the enterprise.

An enterprise system may include devices that perform respective operations of an enterprise and a sustainability platform system. The sustainability platform system may obtain a sustainability model representative of a state of operations of the enterprise and a current sustainability action plan associated with improving one or more sustainability parameters of the enterprise via one or more abatement technologies. The sustainability platform system may also determine that updated data is available for the abatement technologies and simulate an effect of the action plan on the sustainability parameters based on the updated data. The sustainability platform system may also determine whether the simulated effect of the action plan is effective to cause the sustainability parameters to be within one or more thresholds, and in response to determining that the simulated effect is effective, send commands to the devices to maintain their respective operations according to the current sustainability action plan.

The application discloses a global sustainable supply chain certification method and device, and belongs to the technical field of data management. The method comprises the following steps: performing GIS positioning analysis on a production site to generate a geographic fence area; calculating sustainability quantitative index data of the geographic fence area; obtaining activity data and emission factors with a credibility level from a plurality of data collection channels classified by credibility; calculating the life cycle carbon emission of a product; determining the probability distribution model and the uncertainty parameter followed by the activity data and the emission factors according to a preset mapping relationship between the credibility level and the probability distribution model to generate a confidence interval of the life cycle carbon emission; and verifying the sustainability quantitative index data and the life cycle carbon emission according to the confidence interval. The technical problems of insufficient geographic accuracy, inaccurate carbon emission calculation and unquantifiable result credibility in traditional certification are solved.

Sustainable method and environmentally-friendly device for improved survey data acquisition by providing a vessel for use in subsea surveying, at least one lifting hydrofoil, a method of acquiring subsea survey data, a method of producing a vessel, and the use of a vessel. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

Systems and methods predict future success of companies and / or products based on historical popularity and performance data. The systems and methods analyze, score, and rank companies or products based on their likelihood of success based on historical and current popularity, consumer sentiment, sales, trends, ethics, and financial health data. A computer-implemented method for swapping a selected product for a product with a higher attribute or sustainability score analyzes the selected product to determine its score, finds products similar to the selected product, determines a sustainability score for each similar product, and then ranks the similar products by similarity and corresponding sustainability score. Then, if the sustainability score of one of the highest ranked similar products is higher than the sustainability score of the selected product, it can be swapped for the selected product.

Provide a system. 【Solution means】 Means for collecting information on the region, Means for analyzing the collected information, Means for referring to a reference case database to identify similar cases, Generating algorithm means for generating a redevelopment plan based on regional characteristics, Means for simulating the economic effects of the generated plan, Means for evaluating sustainability and optimizing environmental design, Means for visualizing the redevelopment plan using augmented reality technology based on regional characteristics, Scenario analysis means for predicting long-term future impacts, A system including.

The present disclosure relates to the field of sustainability and, in particular, to calculating, monitoring and / or attributing source-attributed sustainability attribute(s) to select material products to improve the environmental impact of material production. The disclosure relates to methods, apparatuses and systems for generating, monitoring, and / or allocating source-attributed sustainability attribute(s).

Current solutions for measuring individual sustainability impact lack standardization. This invention introduces a system and method that tackles this challenge by encouraging and evaluating the adoption of sustainable activities by participants. The system provides measurable data of participants' environmental, economic, and social impact, leveraging behavioral principles of community influence and ranking. A two-step process for recording activities and a secure validation system enhances ease of use and trust. Participants receive credits for both their own sustainable activities and by validating others' sustainable activities, fostering collaboration. Unique formulas calculate credits and rankings, motivating continuous engagement. The system tracks data mirroring the physical environment, allowing it to indirectly influence real-world sustainability outcomes.

This invention discloses a method and system for constructing a multi-category product sustainability index (SPI) that integrates subjective and objective information with fuzzy processing, belonging to the field of product eco-design and environmental management technology. The method first constructs a unified evaluation framework encompassing four attributes—product function, resource and energy, environmental performance, and health and safety—along with specific measurement indicators. Then, it uses the analytic hierarchy process (AHP) to calculate subjective weights, the entropy weight method to calculate objective weights, and a game theory model to optimally integrate the subjective and objective weights to obtain a comprehensive weight. For qualitative indicators, fuzzy matter-element analysis is used to transform their linguistic evaluations into calculable quantitative values. Finally, the standardized data and quantitative values ​​of all indicators are combined with the comprehensive weight to calculate the product score and normalize it into the SPI. This invention overcomes the shortcomings of existing methods, such as strong subjectivity, inability to comprehensively quantify, and difficulty in horizontal comparison. It provides a scientific, universal, and comparable comprehensive evaluation scheme for product sustainability, offering an intuitive quantitative decision-making tool for green design, procurement, and regulation.

The invention discloses an SD-ML-based urban sustainable development innovation driving mechanism analysis method, and belongs to the technical field of environment management, and the method comprises the steps: obtaining multi-dimensional data of a research region, carrying out the preprocessing of the data to form a basic database, constructing a system dynamics (SD) model covering social, economic and ecological environment and innovation subsystems, and carrying out the analysis of an innovation driving mechanism. According to the method, innovation elements are embedded under an SSP-RCP scene framework, a secondary data set is generated, an XGBoost machine learning (ML) model is utilized to establish a nonlinear response relationship between driving factors and town sustainability indexes, finally key innovation indexes are identified through explanation methods such as SHAP, PDP and ALE, and nonlinear response and threshold effect are quantified; according to the method, deep coupling of SD mechanism modeling and ML nonlinear mining capacity is achieved, the defects of a single model in the aspects of dynamic mechanism description, nonlinear quantization and data dependence are overcome, and accurate quantization support is provided for urban sustainable development planning and policy optimization.

An uncrewed surface vessel is disclosed, comprising a first power assembly and a second power assembly. Each power assembly comprises a respective fuel cell and fuel tank fluidly coupled to the fuel cell. A valving arrangement is provided, configured to fluidly couple the first power assembly to the second power assembly. Unlocking insights from geodata, the present disclosure further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

Methods and systems for assessing sustainability of organizational practices with artificial intelligence (AI) tools are provided. Embodiments process textual data collected from a user, either through written documents or conversational interviews with an AI tool, to determine the practices of an organization in view of sustainability. Data is collected by decomposing text into excerpts and using generative AI tools to create corresponding vector embeddings. These vector embeddings are then concurrently searched for similarity to questions targeted to different aspects of sustainability. The generative AI tool is used to summarize findings, create comparisons to best practices and the practices of other organizations, and automate reporting. Schema for data collection, analysis, and reporting can be tailored according to input from subject-matter experts.