147 results about "Disposal waste" patented technology

The invention discloses a building carbon emission analysis method based on an STIRPAT algorithm and a building information model technology, and the method comprises the steps: collecting the whole life cycle information of a building through the BIM technology in a data collection and integration stage, covering the data of all links of design, construction and operation, widely collecting the external environment data of a project location, such as social economy, energy technology, etc. Multi-source data such as geographic space and weather are introduced and fused, and real-time monitoring is performed by means of an intelligent sensing technology. Secondly, an extended STIRPAT model is constructed, core independent variables such as population, economy and technology and control variables such as building scale are comprehensively considered, and the influence of factors is accurately quantified through dynamic parameter adjustment and scene simulation prediction; according to the method, carbon emission attributes are given to components and equipment based on a BIM model, full-life-cycle carbon emission is simulated and calculated, integrated optimization is carried out with solar photovoltaic, intelligent control, waste management and other technologies, finally, results are comprehensively analyzed, carbon emission distribution and trend are displayed by utilizing a BIM visualization function, and a building low-carbon decision is provided.

Embodiment herein discloses methods and devices for waste management by using an artificial intelligence based waste object categorizing engine. The method includes receiving an image while detecting a waste disposal activity (WDA) on a first waste bin and a second waste bin. Further, the method includes generating an entity identifier (EID) during a material disposal event (MDE) and associating the entity identifier with the material disposal event generated during the waste disposal activity. The method also includes identifying and displaying a brand, a product, a material, a usage of the material and a service information from the received image using a data driven assisted vision-based component based on the entity identifier. The method also includes identifying a waste stream type in the first waste bin and the second waste bin.

The invention relates to the technical field of waste management, in particular to a building solid waste intelligent disposal and reutilization system and method based on the Internet of Things, and the system comprises a solid waste classification optimization module, a solid waste disposal adaptation module, a recycling path planning module, an environmental impact evaluation module and a scheduling optimization module. According to the method, the sorting priority is dynamically adjusted by recognizing the particle size, density and energy consumption change of the solid waste, the recognition precision and separation efficiency of the mixed materials are improved, the path is compared and adjusted in combination with the equipment capacity, the solid waste attributes are matched, resource loss and mistaken sorting are avoided, the trend and concentration degree are extracted in the recycling link, and the path matching degree is improved; according to the method, the proportion of unavailable components is reduced, environmental load and energy consumption change are fused in the processing process, a high-emission section is adjusted, environmental impact is relieved, jump frequency is analyzed in combination with task switching, the adaptability and scheduling continuity of the system to change interference are enhanced, and resource utilization continuity, response sensitivity and environmental adaptation level are integrally improved.

A system for determining a fill level of at least one of a content within a container wherein the fill level of the at least one content is determined based on the reception of a time of return of a transmitted signals wherein the transmitted signals are frequency varying within a transmission window. The frequency variation may be continuous or patterned. The device herein disclosed is applicable to a wide spectrum of configurations to determine a content, whether liquid, mash or solid within the container wherein the container may be associated with a barrel or container associated with alcohol production, or containers involved in the retention of other types of materials or content, such as but not limited to, septic tanks, waste management systems, water towers, etc.

Embodiments are directed to an advanced, modular, and scalable system integrating a Dissolved Gas Infusion (DGI) system and a Programmable Logic Controller (PLC) to automate and optimize processes such as water filtration, oxygenation, and waste management. The DGI system infuses high-purity oxygen directly into the water, maintaining optimal dissolved oxygen (DO) levels from the post-larvae stage to harvest, and significantly reducing oxygen wastage compared to traditional bubble aeration processes. The system includes modular raceways with load-bearing support beams, twist locks for secure stacking, and observation ports for easy access. This innovative approach ensures efficient, cost-effective, and reliable shrimp production, leading to higher survival rates, faster growth, and improved overall health of the shrimp.

The “Industrial Digestive System” encapsulates a novel paradigm in waste management and resource recovery, bridging the gap between sophisticated computational intelligence and industrial automation. The hardware component replicates the natural digestive system's efficiency in processing a diverse range of inputs, including municipal and industrial waste, transforming them into valuable outputs like biofuels, chemicals, and advanced composite / conglomerate materials. This process is achieved through a series of mechanized operations. Complementing the hardware, the software facet of the invention is rooted in advanced machine learning and optimization algorithms that optimize multivariable functions for the most efficient conversion of input to resources, orchestrating the transformation from varied waste streams, elements, and molecules into solid, liquid, and gaseous outputs. The result is an automated, intelligent manufacturing machine that enhances product quality and operational efficacy. “The Industrial Digestive System” can be seen as a new branch of cybernetics, a cyber-physical system inspired by nature.

A system for determining a fill level of at least one of a content within a container wherein the fill level of the at least one content is determined based on the reception of a time of return of a transmitted signals wherein the transmitted signals are frequency varying within a transmission window. The frequency variation may be continuous or patterned. The device herein disclosed is applicable to a wide spectrum of configurations to determine a content, whether liquid, mash or solid within the container wherein the container may be associated with a barrel or container associated with alcohol production, or containers involved in the retention of other types of materials or content, such as but not limited to, septic tanks, waste management systems, water towers, etc.

The invention relates to the technical field of battery waste management and control, in particular to a battery production waste combustion risk intelligent early warning and disposal system. The system comprises a data acquisition module, a risk prediction module, an early warning management module, a disposal management module, a feedback optimization module and a parameter optimization module. The data acquisition module acquires waste multi-source monitoring data within a first preset time period; the risk prediction module trains a combustion risk prediction model accordingly; the early warning management module obtains real-time monitoring data in a second preset time period and executes early warning operation; the disposal management module executes disposal operation in a third preset time period according to the early warning result data; the feedback optimization module optimizes the prediction model in combination with early warning and disposal results; and the parameter optimization module configures an optimization target based on historical data and executes parameter directional optimization. The system can realize comprehensive monitoring, accurate early warning, effective disposal and dynamic optimization of the waste combustion risk.

The invention belongs to the technical field of waste treatment, and provides a waste plastic resource conversion method based on spectral frequency division utilization, which comprises the steps of new energy waste plastic collection, new energy waste plastic pretreatment, full-wave band energy distribution, catalyst setting, photocatalytic treatment, pyrolytic reaction treatment and gas-liquid-solid product conversion. According to the method disclosed by the invention, a high-crosslinking structure and selective bond breaking in the plastic are destroyed through ultraviolet light catalytic pre-degradation, so that the subsequent pyrolysis temperature is reduced to 600 DEG C from 800 DEG C, the energy consumption is reduced, and the release of HF or HBr in the pyrolysis process is avoided; through photo-thermal synergistic regulation and control, the conversion rate of gas-liquid-solid products is increased; and through spectrum frequency division, the energy utilization rate is increased to be greater than or equal to 75% from 30% of single photocatalysis, and the treatment cost is reduced.

At a waste management apparatus mounted on a waste collection vehicle, images of the waste dumped into a hopper are acquired. Objects are detected and a class is assigned to each object in a predefined classification e.g. by using an Al module. New objects are determined amongst the detected objects. Each new object is mapped to an expected type of waste collection tour, using a mapping table where sorting rules are stored. An actual type of waste collection tour is obtained. And a rate of waste contamination is calculated for a given location of the waste collection vehicle during a given waste collection tour as a function of the number of new objects identified at said given location which classes are mapped with an expected type of waste collection tour other than the actual type of the given waste collection tour.

The invention relates to the technical field of intelligent traffic and smart city waste management, and discloses a path planning method and system for a garbage transport vehicle based on multi-source data, and the method comprises the steps: generating a reference path based on historical collection and transportation data, the method comprises the following steps: performing data cleaning on pre-acquired garbage quantity data, vehicle state data, real-time traffic data, hydroelectric data and fuel consumption data, performing multi-source time sequence feature fusion anomaly detection on a cleaned data set, performing trajectory inversion on the cleaned data set, performing target constraint through a mixed integer programming model, and performing multi-source time sequence feature fusion anomaly detection on the cleaned data set. Then gradient descent parameter optimization is carried out on the initial optimization model, elastic resource scheduling is carried out on an optimized path scheme based on a large event plan library, a path instruction set is generated, dynamic re-optimization evaluation is carried out on the path instruction set based on garbage amount change and traffic condition data fed back in real time, and an updated path is generated; according to the invention, the path planning efficiency of the garbage transport vehicle based on the multi-source data can be improved.

The invention employs three distinct models, each tailored to offer the most accurate prediction in determining whether a given medical insurance claim qualifies as a fraud, waste, or abuse case. These models operate independently, yet their outputs are combined to ensure a comprehensive evaluation. The invention assigns weights to the votes cast by each model, reflecting their relative importance and reliability. This weighted approach ensures that the final classification-whether the case is fraud, waste, or abuse—is based on a balanced consideration of all available evidence. The result is a robust and dependable system that can handle the complexities of fraud detection, waste management, and abuse prevention in a variety of settings, including financial institutions, healthcare organizations, and government agencies.

A recreational vehicle waste delivery system with lengths of 3D cylindrical non-flexible tube and of 3D cylindrical flexible-tube, a first-coupler and, a second-coupler. The first coupler, the at least one flexible-tube, the second-coupler and the at least one flexible-tube in combination are able to be removably couplable modularly in series to provide an adjustable, modular waste management system for delivering waste from an rv to an in-ground sewer connection when engaged with a disposal fitting of the rv.

The invention discloses a Hakanson-LCA-based shield muck ecological influence assessment method, and relates to the field of shield muck ecological influence assessment. A Hakanson ecological risk assessment method and an LCA method are combined, and meanwhile, the potential ecological risk of heavy metal elements in shield muck and the carbon emission influence generated in the resource utilization and landfill disposal process are assessed; through the dual evaluation method, comprehensive analysis can be carried out on the muck from two dimensions of environmental pollution and climate change, more comprehensive ecological influence evaluation is provided, and a scientific basis is provided for environmental protection and waste management.

Embodiment herein discloses methods and devices for waste management by using an artificial intelligence based waste object categorizing engine. The method includes acquiring at least one image and detecting at least one waste object from the at least one acquired image. Additionally, the method determines that the at least one detected waste object matches with a pre-stored waste object and identifies a type of the detected waste object using the pre-stored waste object. Furthermore, the method includes displaying the type of the detected waste object based on the identification.

A semi-disposable medical-fluid waste management apparatus includes a rigid canister having a first and second canister portions with an opening in the first portion. One of the canister portions includes an interstitial vacuum port therein, and the first and second canister portions include first and second seal portions, respectively, which when sealingly engaged form a canister joint in a canister-closed position. The canister joint defines a seal area, and the canister opening defines an opening area which is smaller than the seal area. The apparatus also includes (a) a disposable assembly having a lid configured to sealingly mate with the canister opening and lid-ports for vacuum and fluid connections and (b) a suction liner sealingly attached to the lid and to be inserted into the canister to receive medical-fluid waste when the canister is closed and the lid is mated with the canister opening.

The present invention discloses a Mobile Autonomous Pet Care System with an adjustable Main Chamber for seamless indoor and outdoor transition, catering to pets of varied sizes. Equipped with integrated subsystems for essential care tasks, the system facilitates watering, feeding, waste management, temperature control, exercise, and play, all while ensuring the pet's comfort and safety. A Remote Monitoring and Control Subsystem allows owners to maintain contact and manage care settings from afar. The Power Subsystem supports energy sustainability, drawing from solar panels, batteries, or generators. Additionally, the Main Chamber is fitted with a Wheel Platform, enhancing portability with a secure locking feature for safe and easy relocation. This system aims to enhance the quality of life for pets and provide peace of mind for owners, ensuring pets are well-cared for in a safe, engaging, and controlled environment.

The application relates to the technical field of waste management, in particular to a building solid waste intelligent disposal and recycling system and method based on the Internet of Things, which comprises a solid waste classification optimization module, a solid waste treatment adaptation module, a resourceization path planning module, an environmental impact evaluation module and a scheduling optimization module.In the application, by identifying the particle size, density and energy consumption change of solid waste, the sorting priority is dynamically adjusted, the mixed material identification accuracy and separation efficiency are improved, the path is adjusted by comparing with the equipment capacity, the solid waste attribute is matched, the resource loss and misclassification are avoided, the extraction trend and concentration in the recycling link are extracted, the path matching degree is improved, the proportion of unusable components is reduced, the environmental load and energy consumption change in the treatment process are combined, the high-emission section is adjusted, the environmental impact is relieved, the task switching analysis jump frequency is combined, the adaptability and scheduling continuity of the system to the change interference are enhanced, and the resource utilization continuity, response sensitivity and environmental adaptation level are overall improved.

The present invention relates to the field of waste management systems, more specifically to an autonomous sensor-operated solar-powered waste container. It will provide solution to waste management by sensor-operated waste container. The present integrates solar-power energy to operate. An autonomous sensoroperated solar-powered waste container is disclosed. The container includes a solar panel to power the system, and a sensor to detect specific waste inside the container, a micro-controller to process sensor data and control the system, and a motorized mechanism to open and close the lid. The integrated sensors, including a level sensor and an odor sensor, monitor the waste level and detect any foul odors emanating from the container.

A waste management method includes setting an allowable methane amount in a bin and an allowable waste amount in the bin. The method includes measuring a methane amount in the bin, a waste amount in the bin, a temperature in the bin and a humidity in the bin, transmitting the methane amount, the temperature and the humidity to a first network and transmitting the the waste amount, and the timestamp to a second network. The method includes generating a first time estimate with the first network and generating a second time estimate with the second network to determine whether the waste amount exceeds a predetermined allowable waste amount. The method includes generating a schedule and a route for a waste vehicle based on the first and second time estimates, a number of waste vehicles available, and methane emissions by the waste vehicles.

At a waste management apparatus mounted on a waste collection vehicle, images of the waste dumped into a hopper are acquired. An AI module is used to detect the objects and provide, for each detected object, a position in the image and a class in a predefined classification of objects. New objects are determined amongst the detected objects based on the output of the AI module. Each object detected in the given image is compared with a history of objects detected in a plurality of previous images, based on a function of a plurality of distances comprising at least a distance between the class and a distance between the position of the objects being compared.

The system according to this embodiment aims to improve urban efficiency, sustainability, and the quality of life for citizens. [Solution] The system according to the embodiment comprises a traffic management unit, an energy management unit, a waste management unit, a safety management unit, and a citizen services unit. The traffic management unit has functions for traffic management. The energy management unit optimizes energy consumption based on the traffic flow optimized by the traffic management unit. The waste management unit optimizes waste collection routes based on the energy consumption optimized by the energy management unit. The safety management unit conducts predictive police activities based on the waste collection routes optimized by the waste management unit. The citizen services unit provides services that meet the needs of citizens based on the predictive police activities provided by the safety management unit.

A waste management method includes setting an allowable methane amount in a bin and an allowable waste amount in the bin. The method includes measuring a methane amount in the bin, a waste amount in the bin, a temperature in the bin and a humidity in the bin, transmitting the methane amount, the temperature and the humidity to a first network and transmitting the waste amount, and the timestamp to a second network. The method includes generating a first time estimate with the first network and generating a second time estimate with the second network to determine whether the waste amount exceeds a predetermined allowable waste amount. The method includes generating a schedule and a route for a waste vehicle based on the first and second time estimates, a number of waste vehicles available, and methane emissions by the waste vehicles.

A portable workbench (10) having a workbench surface and a receptacle retainer configured to receive an upper edge of a receptacle (30) and a demountable wall. The receptacle may be, for example, a rubbish, trash, or garbage bin. In a preferred form (as illustrated) the bin is a wheelie bin. When located on the receptacle, the workbench surface has an aperture located above the receptacle which can be used to easily dispose of waste during use. The portable workbench (10) may be removed from the receptacle and stored or easily transported for use at another site.

The present application relates to the technical field of adsorbent, in particular to a semi-volatile heavy metal adsorbent suitable for cement kiln co-processing and a preparation method thereof.The preparation method comprises the following steps: step 1, mixing kaolin, calcium oxide and water to form a slurry, preparing a foaming agent into a foam, adding the foam into the slurry to stir, and obtaining a semi-dry high-calcium material; step 2, mixing kaolin, aluminum hydroxide and water to form a slurry, preparing a foaming agent into a foam, adding the foam into the slurry to stir, and obtaining a high-aluminum slurry; step 3, mixing and stirring the semi-dry high-calcium material and the high-aluminum slurry, and then performing die pressing forming and curing to obtain the semi-volatile heavy metal adsorbent.The present application successfully prepares an adsorbent material capable of efficiently adsorbing semi-volatile heavy metals in cement kiln co-processing, and can improve the environmental safety of waste co-processing in a cement kiln.

Using a waste management apparatus mounted on a waste collection vehicle, images of the waste dumped into a hopper are acquired. Objects are detected and a class is assigned to each object in a predefined classification e.g. using an AI module. New objects are determined amongst the detected objects and information about the new objects are sent to a remote server, where each new object is mapped to an expected type of waste collection tour, suing a mapping table where sorting rules are stored. An actual type of waste collection tour is obtained, and a rate of waste contamination is calculated for a given location of the waste collection vehicle during a given waste collection tour as a function of the number of new objects identified, which classes are mapped with an expected type of waste collection tour other than the actual type of the given waste collection tour.

The present disclosure relates to an apparatus (100) for collecting waste in a marine environment (150) and a method for its implementation. The apparatus (100) provides an efficient approach to collect marine waste, including uneaten feed, fish feces, and organic debris, thereby improving water quality and maintaining a healthy aquaculture ecosystem. The apparatus (100) includes a substantially conical fabric with holes (101), each covered by an elongated flap (102) having a first end (103) fixed to the fabric and a second end (104) freely movable. The freely movable flaps (102) allow water to pass through the holes (101) while guiding waste toward a centrally positioned waste collection unit (600) at bottom of the conical structure. The configuration ensures effective waste capture, unobstructed water flow, and minimized hydrodynamic drag. This scalable and modular design offers a sustainable solution for marine waste management, facilitating easy installation, maintenance, and environmental conservation.

This system provides comprehensive data-driven solutions to challenges in urban areas, such as frequent traffic congestion, excessive energy consumption, and a lack of efficient waste management. [Solution] A system comprising means for acquiring location information and search data from a location information service provider, means for acquiring payment data from an electronic payment service provider, means for integrating the acquired location information, search data, and payment data and performing data cleaning, means for applying a machine learning algorithm to predict pedestrian flow based on the integrated data, means for proposing optimization of transportation operations based on pedestrian flow predictions, means for performing demand forecasting in commercial facilities and adjusting energy-saving measures, means for collecting wide-area data using a high-altitude platform and evaluating disaster risk, and means for providing personalized action guidelines to users.

A waste management method includes setting an allowable methane amount in a bin and an allowable waste amount in the bin. The method includes measuring a methane amount in the bin, a waste amount in the bin, a temperature in the bin and a humidity in the bin, transmitting the methane amount, the temperature and the humidity to a first network and transmitting the the waste amount, and the timestamp to a second network. The method includes generating a first time estimate with the first network and generating a second time estimate with the second network to determine whether the waste amount exceeds a predetermined allowable waste amount. The method includes generating a schedule and a route for a waste vehicle based on the first and second time estimates, a number of waste vehicles available, and methane emissions by the waste vehicles.

The “Industrial Digestive System” encapsulates a novel paradigm in waste management and resource recovery, bridging the gap between sophisticated computational intelligence and industrial automation. The hardware component replicates the natural digestive system's efficiency in processing a diverse range of inputs, including municipal and industrial waste, transforming them into valuable outputs like biofuels, chemicals, and advanced composite / conglomerate materials. This process is achieved through a series of mechanized operations. Complementing the hardware, the software facet of the invention is rooted in advanced machine learning and optimization algorithms that optimize multivariable functions for the most efficient conversion of input to resources, orchestrating the transformation from varied waste streams, elements, and molecules into solid, liquid, and gaseous outputs. The result is an automated, intelligent manufacturing machine that enhances product quality and operational efficacy. “The Industrial Digestive System” can be seen as a new branch of cybernetics, a cyber-physical system inspired by nature.