Intelligent Integrated System for Management and Collection of Post-Consumer Waste Materials

Description

26 Intelligent Integrated System for Management and Collection of Post-Consumer Waste Materials

[001] This invention patent relates to an intelligent system for waste collection and monitoring comprising a device for collecting buried waste equipped with a sensor and IoT communication system for waste monitoring, integrating the concept of smart cities. The system consists of a waste container, with one or more compartments, located underground, and its elevation can be activated by its own electrical and / or hydraulic system or by an external hydraulic crane (munk) type device. It is equipped with various sensors that allow for the optimization of waste collection in collective urban or rural environments, and interfaces for managing the devices at the end-user (population), manager, and driver levels.The system incorporates computer programs that utilize artificial intelligence to optimize waste collection routes and the use of collection devices, as well as the ability to monitor the quantity and type of waste collected, facilitating the proper distribution of urban equipment and the waste collection process. It can be applied to various types of waste, such as municipal solid waste, construction waste, industrial waste, and others. Fundamentals of the invention

[002] Solid waste management requires detailed planning and an efficient structure for each of its stages. Among the most critical challenges are the collection and transportation of waste, which represent a significant portion of operational costs.

[003] The vast majority of cities still use above-ground bins for the collection of solid waste, often stored in niches built for this purpose. Petition 870250076251, dated 08 / 28 / 2025, page 5 / 36 / 26 end, taking up space in the urban environment and having an unpleasant aesthetic effect. Furthermore, not closing these garbage bins can attract insects and animals, produce bad smells, and lead to the waste being scattered by recyclable material collectors.

[004] Although significant progress is being made in making urban environments more sustainable, the integration between solid waste management and smart technologies is still limited, compromising the efficiency of collection and disposal systems. The present invention, called “Smart Underground Waste Bin integrated with IoT solution for Sustainable Waste Management”, aims to develop and implement an underground waste bin system that aligns with the concept of smart cities, as established in the Brazilian Charter for Smart Cities (https: / / www.gov.br / mdr / pt-br / assuntos / desenvolvimento-regional / projeto-andus / Carta_Bras_Cidades_Inteligentes_Final.pdf).This innovative system aims to optimize the management of urban solid waste by automating the collection process, minimizing environmental impact, and providing strategic data for mapping sustainability indicators, enabling continuous improvement of urban infrastructure and environmental policies.

[005] Urban waste collection traditionally lacks real-time monitoring mechanisms, resulting in problems such as overload, fire risk, and excessive moisture accumulation, which can compromise operational safety and system efficiency. To mitigate these deficiencies, the present invention proposes an intelligent underground waste container equipped with load sensors, fire sensors, and moisture sensors. These sensors allow for continuous detection of waste levels, early identification of potential fires, and control of internal humidity, optimizing waste management, preventing incidents, and ensuring greater safety and efficiency in the collection and disposal process.

[006] The system features one or more waste collection chambers, inserted into a structure with liquid collection, lid with identification of the type of waste to be collected. Petition 870250076251, dated 08 / 28 / 2025, page 6 / 36 / 26 collected, and may also feature a waste type identification system controlled by artificial intelligence. The waste bin has a resistant body made of carbon steel and galvanized steel, rectangular in shape, positioned horizontally or vertically with an electro-hydraulic lifting system or via a hydraulic articulated crane.

[007] Given the absorption of heat by the metallic surface, accelerated decomposition of waste occurs, in addition to damaging electronic components that may be installed inside the bin. Given this problem, the circulation area of ​​the bin has thermal insulation made of polyurethane foam and / or rock wool confined by means of a polypropylene plate, promoting the reduction of the bin's internal temperature;

[008] As a way to reduce the internal temperature, the waste bin also has passive ventilation piping, in order to reduce the internal temperature of the compartment and provide a slowdown in the waste degradation process and adequate temperatures for the operation of the sensors;

[009] Considering the risk of fires, especially those resulting from vandalism or the spontaneous combustion of flammable waste, the equipment is equipped with an automated fire suppression system. This system consists of a self-activating chemical powder extinguishing sphere, strategically positioned on a circular metal base located just below the waste disposal opening. The metal base serves to stabilize the sphere and ensure its accessibility for immediate activation in case of fire detection. The activation mechanism occurs automatically when the sphere comes into direct contact with flames, promoting the efficient dispersion of the extinguishing agent inside the waste container. This strategic positioning ensures the containment and rapid extinguishing of the fire, preventing the spread of flames and mitigating structural and environmental risks.

[0010] With a focus on reducing energy consumption, the equipment performs an evaluation of the energy consumption of electronic components, with automatic suggestions for Petition 870250076251, dated 08 / 28 / 2025, page 7 / 36 / 26 adjustments to data transmission and sensor usage to minimize energy consumption, promoting more sustainable operation;

[0011] Obtaining accurate data on user behavior regarding waste generation represents a significant challenge for urban waste management. The present invention overcomes this limitation by using integrated sensors that capture and analyze, in real time, information on discarded volume, frequency of use, and disposal patterns. This data is processed and used to map sustainability indicators, allowing the identification of trends and the adaptation of waste management strategies according to the specific needs of each urban area. Furthermore, the analysis of the collected data directly contributes to the formulation of more effective public policies aligned with the Sustainable Development Goals (SDGs), enabling more sustainable and evidence-based urban planning.

[0012] The absence of real-time data significantly hinders the monitoring of waste generation and strategic decision-making for efficient waste collection management. To overcome this limitation, the present invention incorporates an intelligent integration system with collection services, in which underground waste containers are equipped with sensors capable of continuously monitoring fill levels. This information is transmitted in real time to a cloud-based system, where it is analyzed to determine which units need to be emptied. Based on this data, the routes of the collection trucks are automatically optimized, allowing for more accurate collections synchronized with actual waste generation patterns. This process reduces unnecessary travel, minimizes operational costs, and contributes to sustainable and efficient urban waste management.

[0013] Several problems can be listed when considering the current urban solid waste collection system, including: Petition 870250076251, dated 08 / 28 / 2025, page 8 / 36 / 26

[0014] The transportation of urban waste requires the continuous operation of heavy vehicles, which are subject to accelerated wear and tear due to adverse operating conditions, such as frequent stops and starts. This scenario results in high maintenance costs, including parts replacement, excessive fuel consumption, and increased need for mechanical repairs, directly impacting the financial sustainability of the concessionaires responsible for collection. The present invention contributes to reducing this problem by optimizing waste collection logistics through integration with intelligent sensors and a real-time monitoring system, allowing collection trucks to move only when necessary, reducing the number of unnecessary trips, fuel consumption, and operating costs.

[0015] The conventional process of collecting urban waste is inefficient because trucks follow fixed routes without considering the actual need to empty the bins. This model generates unnecessary travel, increasing fuel consumption and operational staff hours. The present invention optimizes this logistics by using sensors and IoT to direct collection only when necessary, reducing costs and environmental impact.

[0016] To ensure safety and operational control, each underground waste container is equipped with an RFID reader, which operates between 860 and 960 MHz frequencies. This reader authenticates the presence of the collection truck before activation. The system allows the container to be uncoupled and lifted only after validation of the RFID tag of the authorized vehicle, preventing unauthorized access and ensuring an automated, safe and traceable process.

[0017] The absence of source segregation compromises the recycling and recovery of materials, as waste is collected without distinction between recyclables, organics, and rejects. The lack of adapted collection points prevents efficient separation, increasing the inappropriate disposal in landfills and wasting resources that could be used. Petition 870250076251, dated 08 / 28 / 2025, page 9 / 36 / 26 to be reintegrated into the production chain. The present invention solves this problem by allowing proper separation and measurement of the recycled volume at the source.

[0018] Currently, underground waste disposal systems in the country are simple and not very functional, making manual cleaning and maintenance difficult. Furthermore, automation in these systems is scarce, resulting in a gap in mechanical and electrical integration and data collection. To address these deficiencies, the present invention incorporates sensors and an intelligent monitoring and control system based on Artificial Intelligence, enabling predictive analysis of waste generation, optimization of collection, and efficient management of urban waste. State of the art

[0019] Several patent documents are in the state of the art, presented below.

[0020] Document CN117799982 discloses a waste sorting control device and system for an underground smart waste bin; the waste sorting control device comprises an underground smart waste bin body, a side floor mounted on one side of the underground smart waste bin body, and a mounting plate disposed on the inner side of the side floor; a platform is installed on top of the underground smart waste bin body, an infrared sensor is disposed at the front end of the underground waste bin, an electric motor is installed at the rear of the upper end of the waste bin, an ultrasonic sensor is installed at the front end of the platform, and an underground waste bin is installed on the inner wall of the bottom of the underground smart waste bin body.

[0021] Utility model CN208394059 refers to an underground type waste bin including an outer bucket, a waste bin and a garbage can for handling household waste, the underground bin is buried in the outer bucket, and the waste bin and the garbage can Petition 870250076251, dated 08 / 28 / 2025, page 10 / 36 / 26 of the waste remains in the internal configuration of the external bin; when the waste bin is full, the warning light on the photoelectric sensor control flashes red, sanitation workers drain the liquid and remove the waste. It differs by not providing for the separation of waste and having only one fill sensor.

[0022] The utility model presented in document CN204399868 provides an intelligent underground waste bin system comprising an outer structure, an inner structure, a feeder, a waste bin and a control cabinet; the outer structure is buried underground and the upper end of the outer structure is flush with the ground; the inner structure is arranged in the outer structure in an elevation mode and provided with a top layer plate and a bottom layer plate. It features a hydraulic lifting system, an LED light that illuminates upon sound to identify the bin, a distance sensor and a control cabinet, but does not feature waste separation.

[0023] The utility model of document CN204399868 discloses an intelligent underground waste sorting control system, comprising a waste bin body, communicated with a remote computer server and provided with a GPS (global positioning system) positioning device, and a waste level sensor to detect the height of the waste inside the waste bin body and communicated with the remote computer server by means of a controller; provided with a hydraulic lifting device, with a control switch. The intelligent underground waste sorting control system has the advantages of being simple in structure, capable of detecting in a timely manner whether a waste bin is fully full to facilitate cleaning and improve work efficiency, capable of conveniently lifting and emptying the waste bin and moving it to the waste bin position with precision.

[0024] The invention CN105775512 discloses an intelligent underground-type trash can, comprising a can body with an opening at the top and a control box disposed on the inner wall of the can body, a main control board. Petition 870250076251, dated 08 / 28 / 2025, page 11 / 36 / 26 located in the control box, also includes a wireless transmission device, an overflow induction device, a smoke sensor, a water tank and a high-pressure spray device.

[0025] In addition to patent documents, a systematic review found that the topic of "optimization of the MSW collection system" has been studied focusing on optimizing waste transport routes from collection to final disposal, primarily seeking cost reduction at this stage. Very few publications have an environmental focus, whether on selective collection or collection equipment. Sustainable objectives such as fuel economy and / or emission reduction, or even the efficiency of correct waste separation, although intrinsic to process optimization, were not the target objective of the researchers, even though some of them conclude that shorter distances will result in lower fuel consumption and, consequently, also in lower costs.Some studies demonstrate the vital role of technology in optimizing waste collection operations, from the use of GIS (data management and integration) to the use of sensors or smart containers. (SANTOS NETO, ABP; SIMÕES, CL; SIMÕES. R. Optimization of the municipal solid waste collection system: a systematic review with bibliometric literature analysis. Journal of Material Cycles and Waste Management (2024) 26:1906-1917 https: / / doi.org / 10.1007 / s10163-024-01966-y).

[0026] The present invention proposes an advanced system for the collection and management of solid waste, integrating intelligent underground waste bins equipped with monitoring sensors, artificial intelligence (AI), and IoT connectivity, differentiating itself from conventional solutions by offering automated and predictive management of urban waste collection. The system has multiple segmented containers, allowing for the efficient separation of waste at the source and encouraging the circular economy. To ensure operational efficiency, intelligent sensors monitor the opening and closing of the bins, controlling access and preventing misuse, as well as measuring the fill level of the containers and optimizing waste collection through algorithms. Petition 870250076251, dated 08 / 28 / 2025, page 12 / 36 / 26 of machine learning, reducing costs and environmental impact. Temperature and smoke sensors identify fire hazards and trigger preventive alarms, while leachate level monitoring activates an automated drainage and cleaning service system, preventing leaks and soil contamination. In addition, the system has base displacement sensors, ensuring structural stability, safety and operational performance of the underground landfill as well as the durability of the equipment.

[0027] Unlike traditional systems, the present invention integrates hardware and software into an intelligent digital ecosystem, enabling the capture, processing, and analysis of data in real time. Through a mobile application and web system, users, operators, and public managers have access to an interactive dashboard that presents metrics such as volume collected, recycling rate, and CO2 emission reduction, as well as allowing the prediction of waste generation by neighborhood and seasonality, optimizing resource allocation and improving the efficiency of the collection service. The system also enables integration with municipal platforms and public dashboards, promoting transparency in waste management and encouraging public participation.

[0028] By combining advanced technology, automation and sustainability, the present invention goes beyond simple underground waste storage, becoming a complete solution for modernizing urban waste collection, reducing costs, optimizing logistics processes and contributing to cleaner, more efficient and environmentally responsible cities. Description of the Drawings

[0029] Figure 1 presents a perspective of the equipment showing: opening and closing sensors for the discharge openings (01); temperature and smoke sensors, responsible for detecting fire hazards (02); waste level sensors for monitoring occupied capacity (03); water level sensors for the tank. Petition 870250076251, dated 08 / 28 / 2025, page 13 / 36 / 26 lower (cradle) for leachate control (04); Load sensors, which assess the total weight of stored waste (06); Humidity sensors, allowing control of waste degradation (07); Fire extinguishing device, composed of chemical powder extinguishing sphere (08); Availability indicator light (09); Thermal insulation of the bin to reduce internal temperature (10); Specific disposal opening for green coconut, with inclined nozzle and protective curtain (11); Electromagnetic lock to block unauthorized access (12); Base decoupling sensor (13); Metal structure with pantographic drive for stable lifting of the equipment (14).

[0030] Figure 2 represents the electro-hydraulic unit responsible for actuating the lifting mechanism of the underground waste container. The system includes a sensor monitoring panel, where all operational information is processed (15); an electro-hydraulic pump, responsible for actuating the lifting mechanism (16); an oil collection basin, which prevents spills during maintenance (17); an upper side fan, ensuring adequate cooling of the electronic components (18); a lower side fan, promoting efficient internal air circulation (19); an internal RFID reader, allowing secure authentication of collection trucks (20); a security lock, preventing unauthorized access to the control unit (21); and a polypropylene structure with anti-UV and fire-retardant additive, protecting the electronic components against vandalism, impacts and thermal variations (22).

[0031] Figure 3 illustrates the RFID communication process between the underground waste container and the collection truck, ensuring secure authentication before the equipment is lifted. The system includes an internal RFID reader, installed in the structure of the container and connected to the cloud for remote access authentication (23); an RFID TAG on the collection truck, allowing vehicle identification (24); a wireless communication system, responsible for data transmission between the truck and the container (25); automatic validation of the collection vehicle via the cloud, ensuring that only authorized trucks perform the collection (26); and unlocking of the equipment after confirmation of Petition 870250076251, dated 08 / 28 / 2025, page 14 / 36 / 26 authentication in the cloud, allowing the activation of the lifting or decoupling system from the base (27).

[0032] Figure 4 represents another embodiment of the underground waste container, designed for complete decoupling from the base, facilitating the disposal of waste directly into the collection truck. The system has sensors for opening and closing the disposal openings (28); temperature and smoke sensors, which monitor fire risks and trigger automatic alarms (29); waste level sensors, responsible for controlling the occupied capacity and optimizing collection routes (30); water level sensors in the lower tank (cradle), which prevent leachate leaks and automatically activate the drainage system (31); a sensor monitoring panel, integrated into the remote cloud management system for real-time analysis (32); load sensors, which measure the total weight of the stored waste and prevent overloading (33); humidity sensors, ensuring control of waste degradation and preventing unpleasant odors (34);a fire extinguishing device, consisting of a chemical powder extinguishing sphere strategically positioned for immediate action in case of fire detection (35); a luminous availability indicator, displaying the status of the bin (36); a passive ventilation duct, which reduces the internal temperature, improves the conservation of the sensors and minimizes odors (37); lifting hooks, used to remove the bin from the basement safely and efficiently (38); and a base decoupling sensor, which monitors the operation of the equipment and issues alerts if unauthorized movement occurs (39).

[0033] Figure 5 presents the general flowchart of the intelligent underground waste disposal system, detailing the data processing from acquisition by sensors to automated decision-making by Artificial Intelligence (AI) and the availability of information on dashboards for users.

[0034] Figure 6 presents the diagram showing the input, processing, and output of data in the equipment system. Sensors capture information, which is analyzed by the AI ​​for output of information and automatic actions. Petition 870250076251, dated 08 / 28 / 2025, page 15 / 36 / 26

[0035] Figure 7 shows the flowchart for the use of the device, from the user's arrival to the disconnection, cleaning and restarting of the process. DESCRIPTION OF THE INVENTION

[0036] The present invention relates to an intelligent system for waste collection and monitoring, comprising an underground waste container equipped with sensors, IoT connectivity, and a predictive management system based on Artificial Intelligence (AI). The invention modernizes the process of disposal and collection of urban and rural waste, reducing operational costs, optimizing collection routes, and minimizing environmental impacts. AI enables predictive analysis of waste generation, optimization of collection logistics, and automation of maintenance and management processes.

[0037] The underground waste container is manufactured from ASTM A36 carbon steel and galvanized steel, with a thickness between 4 mm and 10 mm, ensuring high mechanical resistance and protection against corrosion. Its internal structure can be configured with multiple compartments for the separation of recyclable and organic waste, encouraging recycling practices and a circular economy.

[0038] The intelligent system for storing, managing, and collecting post-consumer waste incorporates a continuous monitoring method based on the integration of sensors, IoT connectivity, and Artificial Intelligence (AI). This method allows for real-time monitoring of the equipment's operating conditions, optimizing collection efficiency, structural safety, and waste management.

[0039] The system is equipped with strategically placed sensors distributed throughout the equipment, including ultrasonic sensors for detecting residue levels and predictive filling control; gas sensors for monitoring the emission of volatile organic compounds and identifying environmental risks; temperature and smoke sensors for identifying fires and automatically activating the suppression system; and displacement and vibration sensors for identifying attempts to... Petition 870250076251, dated 08 / 28 / 2025, page 16 / 36 / 26 vandalism and structural failures; load and volume sensors for accurate measurement of the bin's occupancy rate and intelligent activation of the collection service when necessary; humidity and leachate sensors for monitoring waste degradation and automatic activation of the drainage system.

[0040] The intelligent monitoring method is supported by an Artificial Intelligence-based data processing system, which analyzes data in real time, detecting disposal patterns, predicting seasonality, and automatically adjusting the routes of collection trucks according to emptying needs. This system also enables predictive maintenance of the equipment, identifying anomalies in the sensors and preventing operational failures.

[0041] Data transmission occurs via an IoT communication protocol, using LoRaWAN and MQTT, ensuring low energy consumption and efficient communication with a centralized cloud platform. The system generates automated reports for municipal managers and collection operators, optimizing urban planning and improving waste disposal traceability.

[0042] The monitoring method involves interaction with users and managers through a digital dashboard, accessible via Control API and mobile applications, allowing consultation of the equipment's operational status, emergency alerts, and environmental indicators. The control panel differentiates critical alerts, such as fire risk, from minor operational notifications, ensuring that maintenance and collection priorities are automatically adjusted according to the severity of the event.

[0043] The equipment consists of a mobile metal structure equipped with a pantograph device (3) for greater stability of the assembly. Movement occurs through hydraulic pistons (2) installed vertically on each side of the equipment, with a flow divider valve to supply them. Petition 870250076251, dated 08 / 28 / 2025, page 17 / 36 / 26

[0044] In the equipment, there is a platform (4), above the lifting device, consisting of a cage structure (1) that accommodates the municipal solid waste containers (5), with individual capacities of 500 to 2,000 liters.

[0045] The system can be powered by different energy sources, ensuring its operation in various urban and rural scenarios. The main power supply is alternating current connected to the conventional electrical grid, with the possibility of integrating photovoltaic solar panels for renewable energy generation, reducing grid consumption and making the system more sustainable. In addition, the device has a high-efficiency rechargeable battery system, allowing continuous operation even in cases of power outages or in locations with limited infrastructure. Energy management is performed by an intelligent controller, which prioritizes the use of the source with the least environmental impact and optimizes battery charging according to the equipment's operational demand.

[0046] The trash can is operated by two methods: a built-in electro-hydraulic system, allowing for automated lifting, and an external device such as a hydraulic articulated crane (munk), facilitating collection in urban areas.

[0047] The underground waste container has a plastic or metal enclosure intended for the installation of the hydraulic unit and the electronic circuit of the equipment. This enclosure has forced ventilation for cooling the components, an oil collection basin to contain any spills, and an access door equipped with a security locking system, consisting of a mechanical or electronic lock activated by a physical key or RFID code / sensor access control, ensuring protection against unauthorized access.

[0048] As an additional safety measure, the equipment incorporates a manual mechanical locking system, activated by the operator when the underground waste container is raised to the collection position. This mechanism prevents the container from unexpectedly falling in case of failure in the electro-hydraulic system, ensuring safety. Petition 870250076251, dated 08 / 28 / 2025, page 18 / 36 / 26 of the operation. After the waste has been emptied and before the bin is lowered, the operator manually deactivates the lock, allowing the equipment to be returned to its original position in a controlled manner. This safety system minimizes operational risks and increases the reliability of the collection process.

[0049] The trash can has strategic sensors for real-time monitoring, ensuring the automation of the collection process. AI processes the data collected by the sensors and uses machine learning algorithms to optimize collection, predict failures, and generate strategic reports.

[0050] The sensors implemented in the system, as well as the actions of the artificial intelligence, are described below:

[0051] Base Displacement Sensor: Detects anomalous movements of the underground waste container and operating time, identifying operational performance, structural failures, and preventing instability risks.

[0052] AI Action: The AI ​​analyzes displacements and vibration patterns to predict vandalism attempts or mechanical failures. If irregular behavior is identified, the system triggers automatic alerts to the maintenance or security team, preventing damage to the equipment and ensuring continuous operation.

[0053] Opening and Closing Sensor for the trash cans (7): Monitors the use of the trash can, recording accesses and disposal patterns, allowing security control to prevent misuse.

[0054] AI Action: The AI ​​analyzes disposal times and frequency, predicting peak demand periods and dynamically adjusting collections. Furthermore, when patterns of improper disposal are detected, the system can suggest educational campaigns or enforcement alerts. Petition 870250076251, dated 08 / 28 / 2025, page 19 / 36 / 26

[0055] Temperature and Smoke Sensor: Identifies thermal variations that may indicate a fire risk and triggers alarms and emergency response systems in case of fire detection.

[0056] AI Action: The AI ​​analyzes thermal trends and temperature patterns to predict spontaneous combustion risks. If an abnormal temperature increase is identified, the active AI notifies the responsible team, ensuring quick and efficient action in fire prevention.

[0057] Fill Level Sensor: Measures the availability of the trash can and the need for emptying, allowing for the optimization of collection routes through the use of artificial intelligence, reducing operational costs.

[0058] AI Action: AI dynamically adjusts the routes of collection trucks, predicting when the bin will reach its maximum capacity and automatically triggering collection. This reduces unnecessary travel and improves logistical efficiency, ensuring lower fuel consumption and less environmental impact.

[0059] Leachate Level Sensor: Monitors the amount of liquid percolating inside the waste bin and automatically activates the drainage system, preventing leaks and soil contamination.

[0060] AI Action: The AI ​​assesses patterns of liquid accumulation and correlates them with environmental factors, predicting the need for drainage before a leak occurs. If the level exceeds a critical limit, the system can automatically alert the maintenance team, ensuring safe operation and preventing contamination.

[0061] Weight Sensor: Measures the amount of waste deposited, allowing for a detailed analysis of waste density and the issuance of alerts to the control center to prevent further damage. Petition 870250076251, dated 08 / 28 / 2025, page 20 / 36 / 26 overload and assist in planning recycling strategies and proper disposal of waste.

[0062] AI Action: The AI ​​analyzes the density of deposited waste and automatically adjusts the capacity of collection trucks, optimizing transport and reducing unnecessary trips. Based on the density, weight, and estimated gravimetry provided by the system manager, the AI ​​presents the estimated volume of greenhouse gas (GHG) emissions from the waste to be disposed of in landfills. When recyclable waste bins are locally available, these will be calculated and counted as GHG emissions that were prevented from being released into the environment.

[0063] Volume Sensor: Calculates the occupied capacity within the waste bin compartment and provides data for balancing waste generation over time.

[0064] AI Action: AI uses predictive analytics to identify disposal patterns and predict peaks in waste generation, automatically adjusting collection logistics. Based on this data, the system can suggest strategic redistribution of waste bins in areas with higher demand, optimizing the city's infrastructure.

[0065] The fire suppression system uses a self-activating chemical powder extinguishing sphere, positioned on a circular metal base located just below the waste disposal opening, one for each collection opening. If a fire is detected, the sphere automatically releases the extinguishing agent, ensuring immediate and effective action in suppressing the fire.

[0066] AI Action: The AI ​​continuously monitors data from temperature and smoke sensors, analyzing thermal patterns to predict fire hazards before they occur. If an abnormal temperature increase or the presence of smoke is identified, the system can anticipate the activation of the chemical fire extinguisher, triggering alerts to the monitoring center and automatically notifying emergency teams. Furthermore, Petition 870250076251, dated 08 / 28 / 2025, page 21 / 36 / 26 AI stores and analyzes incident logs to improve predictive algorithms and prevent future occurrences.

[0067] The cage will also have an audible alarm and a visual alarm to identify the activation and operation of the system for the safety of users and operators.

[0068] Passive ventilation of the waste bin is provided by an integrated piping system, which reduces the internal temperature and slows down the degradation of waste, preventing unpleasant odors and optimizing the operation of internal sensors.

[0069] The system has an LED indicator light that visually shows the status of the trash can: Green - Available for disposal. Yellow - Capacity nearing limit. Red - Trash can unavailable for disposal.

[0070] The equipment includes a dedicated discharge chute for green coconuts, with a diameter between 200 mm and 400 mm and a neck angled between 15° and 60°, and a nozzle with a semi-rigid plastic curtain that prevents the entry of light debris and facilitates the entry of green coconuts by gravity, thus preventing incorrect disposal.

[0071] The trash can opening (6) has opening and closing sensors (7) in order to allow monitoring of equipment usage statistics by the user and locks that can disable the opening of the trash can opening if the compartment is already completely full.

[0072] The trash can opening also has a light indicator that shows whether or not the trash can is available, based on the fill level and the weight of the contents. The trash can opening will have a compartment with a volume between 100 and 200 liters for waste disposal, which isolates the view of the waste when opened by the user.

[0073] Access to the management system is via a QR code printed on the bin structure, allowing users and managers to view information about Petition 870250076251, dated 08 / 28 / 2025, page 22 / 36 / 26 capacity, collection frequency and disposal forecasts directly through an application or web platform.

[0074] RFID (Radio Frequency Identification) technology ensures secure authentication of the collection. Each collection truck has an RFID TAG, and the bin has an internal RFID reader. Only pre-authorized vehicles can lift and empty the bin, ensuring security and traceability.

[0075] Sensor data is transmitted to a cloud platform using LoRaWAN and MQTT protocols. AI analyzes the data in real time to optimize collection routes, predict structural failures, and generate strategic reports for environmental and logistics management. The system allows for dynamic adjustment of collection truck routes based on fill levels, reducing unnecessary travel and improving operational efficiency.

[0076] In addition to the operational analysis and optimization conducted by Artificial Intelligence, the present invention also stands out for its integration with public management applications and citizen monitoring platforms; this functionality allows municipal managers and waste collection service operators to access operational metrics in real time, including compartment fill rates, disposal forecasts, collection route efficiency, and operational status of storage devices; additionally, the platform provides an interactive interface for end users, allowing them to check system availability, make suggestions, and report misuse of equipment; this connectivity promotes transparency in the management of post-consumer waste, enabling dynamic adjustments to collection logistics and encouraging active public participation in monitoring and improving the service;The digital interface is compatible with mobile devices and web browsers, ensuring accessibility, as well as enabling integration with municipal environmental management systems. Petition 870250076251, dated 08 / 28 / 2025, page 23 / 36 / 26 allowing the automation of the generation of analytical reports and the cross-referencing of strategic data for the formulation of public policies aimed at urban sustainability.

[0077] The control panel allows for predictive monitoring of waste bin occupancy, automatically adjusting collection times according to demand projected by AI. In addition, the system uses machine learning to generate strategic indicators for public policies, analyzing disposal patterns and recommending awareness campaigns or increased enforcement in areas with a higher incidence of illegal dumping.

[0078] The flowchart in Figure 5 illustrates the main stages of the system, encompassing data collection by the sensors, where information is captured in real time to allow continuous monitoring. Next, the communication and data transmission interface occurs, in which the sensors send the data to the remote management system via Cloud Gateway, using LoRaWAN and MQTT protocols to ensure energy efficiency and high reliability in transmission. The raw data collected is then subjected to the storage and processing stage, where it undergoes an ETL (Extraction, Transformation, and Loading of Pre-processed Data) process. At this stage, the data is filtered, structured, and organized to avoid losses and inconsistencies.Following this preparation, AI analysis and decision-making are performed, applying machine learning algorithms to optimize collection operations, predict demand, and identify patterns that contribute to system efficiency. Finally, the processed data is made available through the user interface and sent to a management dashboard accessible via a Control API. This allows for real-time monitoring of the bin status, analysis of collection history, and waste generation forecasts, ensuring process automation. The system also provides an interactive dashboard so that managers and operators have access to strategic information for decision-making. Petition 870250076251, dated 08 / 28 / 2025, page 24 / 36 / 26

[0079] An additional embodiment is the underground bottom-discharge waste container model, with a single individual volume between 2,000 and 6,000 liters, operating by completely decoupling the equipment from the base. Removal is carried out using a hydraulic crane (munk) which lifts the container for direct unloading into the waste collection truck. Unloading occurs through traction by the hydraulic crane, with its top coupling connected to side tie rods, which opens the bottom lid.

[0080] The structure of the underground bottom-discharge waste container is made of carbon steel or galvanized steel, ensuring high mechanical resistance and protection against corrosion. The metal sheets used are profiled with strategic folds along their surface, forming structural profiles with angles between 60° and 135°, which provides additional rigidity and uniform distribution of mechanical stresses. This profiling reduces the need for additional reinforcements, optimizing the relationship between structural resistance and equipment weight. In addition, the shaping of the sheets improves the structure's ability to absorb impacts and external loads, preventing permanent deformations and ensuring the stability and durability of the assembly over time.

[0081] The bottom cover of this embodiment has its own internal basin for collecting leachate from the waste itself, with protective screens. The internal basin is lined with industrial-grade isophthalic resin, including formulations modified or reinforced with anti-corrosion fillers, ensuring high impermeability and mechanical resistance.

[0082] The format of this embodiment allows for a different mode of storage while maintaining the functionalities described in the patent.

[0083] The present invention represents a disruptive advance in solid waste management, integrating smart sensors, IoT connectivity and Artificial Intelligence (AI) for predictive monitoring and highly efficient collection. The solution reduces Petition 870250076251, dated 08 / 28 / 2025, page 25 / 36 / 26 operational costs, optimizes routes, minimizes environmental impacts and allows for the formulation of more assertive public policies, based on real-time data analysis.

[0084] Furthermore, the technology enables the automation of waste collection and strategic waste management, promoting an innovative model of smart urban infrastructure. This solution is fundamental to the advancement of smart cities, enabling sustainable and automated waste management, aligned with contemporary demands for energy efficiency, mobility, and emission reduction. The invention stands out for its scalability potential, being applicable in different urban and industrial contexts, ensuring flexibility and adaptation to the needs of each location. Examples of embodiments of the invention Example 1 - Identification of the vehicle authorized to carry out the collection.

[0085] The collection vehicle will be equipped with a unique RFID tag, which will be identified by the RFID reader installed on the proposed equipment. This mechanism ensures that only authorized vehicles can perform the waste container emptying operation, guaranteeing control and traceability of the process.

[0086] Upon detecting the approach of the collection vehicle, the system queries the cloud database, verifying if the RFID tag corresponds to a vehicle authorized for collection. This process occurs in real time, using secure communication protocols with AES-128 encryption to prevent fraud and unauthorized access.

[0087] The system has an offline operating mode, in which it locally stores the last enabled RFID tags, allowing data collection to continue even in case of cloud connection failure. When the connection is re-established, the system automatically synchronizes the information and updates the authorizations, ensuring that revocations are applied without compromising operational security. Petition 870250076251, dated 08 / 28 / 2025, page 26 / 36 / 26

[0088] Once authenticated, the local device releases the activation of the underground waste container. The operator can perform the procedure via remote control, local push button, or a command via an application connected to the management system, ensuring operational flexibility and greater efficiency in the collection process. This mechanism prevents unintended activations and ensures that emptying is only carried out when necessary. The system also records all activations in an audit log, allowing managers to track the time, collection vehicle, and operator responsible for each collection.

[0089] After the waste is removed and the bin is returned to its original position, the collection vehicle will move to the next collection point. The bin system will automatically identify the departure of the authorized vehicle and block the equipment from operating until another previously authorized vehicle is detected in the area. This feature prevents attempts at misuse and maintains the security of the equipment. If an unauthorized vehicle attempts access, the system will send an alert to the monitoring panel, allowing managers to assess the situation and take the necessary measures. Example 2 - Automated operation and management procedure.

[0090] The user approaches the trash can and checks if the status LED indicates the equipment is available. The LED may display the following colors: Green - Available for use; Yellow - Capacity nearing limit; Red - Trash can blocked for disposal.

[0091] When available, the trash can opening will be unlocked, allowing the user to deposit the waste.

[0092] The opening and closing sensor will record the user's action, sending the data to the monitoring system. Petition 870250076251, dated 08 / 28 / 2025, page 27 / 36 / 26

[0093] The cloud system will update the web platform and the application responsible for managing collection, allowing access via QR-CODE located on the trash can itself or through the collection company's control dashboard.

[0094] The load sensor will analyze the total weight of the contents of the trash can. If it reaches the maximum limit, the system will automatically activate the lid lock, change the LED to red, and send an alert to the collection center, which will assess the need for dynamic adjustments to the collection trucks' routes.

[0095] The liquid level sensor will identify the presence of water or leachate inside the waste bin compartment. The system will automatically trigger the drainage and maintenance service if the volume exceeds the defined limit, sending alerts to the responsible team.

[0096] The temperature and smoke sensor will constantly monitor the temperature of the trash can, identifying abnormal variations. If a critical temperature increase is detected, the system can activate the internal fire extinguisher and send alerts to the maintenance and firefighting team.

[0097] The system will record the level of waste and other operational indicators, sending the data to the cloud for continuous analysis.

[0098] When it reaches its maximum capacity, the trash can opening will be blocked, activating the red LED and sending an automatic notification to the collection team.

[0099] AI will analyze the situation and prioritize the trash can for collection, adjusting truck routes to ensure efficient waste removal.

[00100] When an authorized collection vehicle is identified within 30 meters of the trash can via RFID reader, the system will automatically unlock the trash can for cleaning. Petition 870250076251, dated 08 / 28 / 2025, page 28 / 36 / 26

[00101] The decoupling sensor will record the total time the trash can is off the base and assess whether there has been a delay or mechanical failure, sending alerts if corrective maintenance is needed.

[00102] After cleaning and replacing the trash can on its base, the system will automatically reset, allowing waste disposal again. All operational data will be recorded in the cloud, enabling auditing and report generation to improve operational efficiency. Key Technological Differentiators

[00103] The present invention integrates Artificial Intelligence (AI), IoT sensors, and cloud communication to offer an advanced solid waste management system. The main technological differentiators and the data generated by the solution are highlighted below:

[00104] Intelligent Automation - AI analyzes data from IoT sensors to optimize collection in real time, reducing unnecessary travel and adjusting collection truck routes according to demand.

[00105] Energy Efficiency - The system operates with low-energy wireless communication via LoRaWAN and MQTT, ensuring continuous connectivity and efficient data transmission without compromising energy consumption.

[00106] Advanced Security - Continuous monitoring of temperature, smoke, and base movement, allowing AI to identify structural anomalies, predict fires, and automatically trigger the fire suppression system or maintenance alerts.

[00107] Environmental Sustainability - Reduction of CO2 emissions due to intelligent optimization of collection routes, avoiding unnecessary travel and improving logistical efficiency. Petition 870250076251, dated 08 / 28 / 2025, page 29 / 36 / 26

[00108] Intelligence for Public Policy and Enforcement - The system improves accuracy in waste bin allocation and enforcement regarding improper waste disposal, using AI predictive analysis to identify usage patterns, detect irregularities, and suggest corrective actions.

[00109] Environmental Performance Indicators - The system allows for monitoring and generation of strategic reports, including:

[00110] Kilograms of waste generated per inhabitant and volume of waste generated per neighborhood / region.

[00111] Recycling success rate, including recycling ranking by collection area.

[00112] CO2 volume generated per inhabitant and environmental impact of recycling, allowing calculation of emission reduction resulting from the reuse of collected materials.

[00113] Seasonality Forecasting and Analysis - AI analyzes seasonal fluctuations in waste generation, allowing for adjustments to collection logistics according to demand variations throughout the year. This enables efficient planning of routes and necessary infrastructure, ensuring that services operate at maximum efficiency even during periods of high demand. Petition 870250076251, dated 08 / 28 / 2025, pages 30 / 36

Claims

1 / 5 CLAIM 1) An integrated intelligent system for the storage, management, and collection of post-consumer waste is characterized by an underground storage device equipped with an electro-hydraulic lifting mechanism, IoT sensors for real-time monitoring, and a digital communication system based on Artificial Intelligence (AI), enabling authentication of collection vehicles via RFID, optimization of collection routes, and operational safety; comprising a control unit equipped with: sensors for opening and closing the disposal openings to monitor usage (01; 28); temperature and smoke sensors for identifying fire hazards and activating the automatic fire suppression system (02; 29); waste level sensors for assessing occupied capacity and optimizing collection logistics (03; 30); liquid level sensors for controlling leachate accumulated in the lower tank and activating automatic drainage (04; 31);Load sensors for overload prevention (06; 33); humidity sensors for monitoring the degradation of discarded materials (07; 34); a fire extinguishing device consisting of a self-activating chemical powder extinguishing sphere, ensuring immediate response to fires detected in the underground compartment (08; 35); a luminous availability indicator for signaling operational status (09; 36); internal thermal insulation for preserving sensors and reducing temperature (10); exclusive discharge opening for green coconuts, equipped with an inclined nozzle and protective curtain to prevent improper disposal (11); electromagnetic safety lock to block unauthorized access (12); base decoupling sensor for monitoring anomalous movements or mechanical failures (13; 39); pantographic metal structure to ensure stability during lifting and lowering of the equipment (14). Petition 870250076251, dated 08 / 28 / 2025, page 31 / 36 2 / 5; 2) Intelligent integrated system for storage, management and collection of post-consumer discarded materials, as per claim 1, characterized by comprising an electro-hydraulic unit responsible for actuating the system with a sensor monitoring panel for processing and transmitting operational data (15; 32); an electro-hydraulic pump for actuating the lifting mechanism (16); an oil collection basin for preventing leaks during maintenance (17); an upper side fan and a lower side fan for cooling and internal air circulation (18; 19); an internal RFID reader for secure authentication of collection vehicles (20); a security lock on the control unit to prevent unauthorized access (21); and a polypropylene structure with anti-UV and fire-retardant additive, ensuring protection against impacts, vandalism and thermal variations (22). 3) Intelligent integrated system for storage, management and collection of post-consumer waste materials, as per claim 1, characterized by comprising a communication and authentication system with an internal RFID reader installed in the waste bin structure and connected to the cloud for remote access authentication (23); an RFID TAG on the collection truck for identification of the authorized vehicle (24); a wireless communication system for transmission of operational data between the truck and the waste bin (25); an automatic validation mechanism via cloud, ensuring that only previously authorized vehicles perform the collection (26); and an automatic unlocking, allowing the equipment to be lifted only after authentication (27). 4) Intelligent integrated system for storage, management and collection of post-consumer waste materials, characterized by comprising a concrete system with integral decoupling from the base, allowing direct disposal of waste materials into the collection truck; this configuration includes strategically positioned lifting hooks, Petition 870250076251, of 08 / 28 / 2025, p. 32 / 36 3 / 5 ensuring safe removal of the waste bin from the basement (38); in addition to a bottom opening mechanism, activated by the lifting system of the collection truck, ensuring efficient unloading without manual handling; a passive ventilation duct, which reduces the internal temperature, improves the conservation of the sensors and minimizes odors (37). 5) An intelligent system for storing, managing, and collecting post-consumer waste materials, as per claim 1, is characterized by an intelligent data processing mechanism based on Artificial Intelligence (AI), which performs real-time analysis of data captured by sensors distributed throughout the equipment, allowing for dynamic optimization of collection routes and demand forecasting through predictive modeling; the system comprises a communication and data transmission interface via Cloud Gateway, using LoRaWAN and MQTT protocols, ensuring energy efficiency and security in transmission; the captured data undergoes an ETL (Extraction, Transformation, and Loading) process, being structured and stored in a centralized database, allowing for continuous analysis and the generation of strategic reports for collection and disposal management;AI performs automated decision-making, adjusting collection schedules based on projected demand, predicting seasonality and disposal patterns; operational data is made available through a Control API, allowing integration with municipal platforms and interactive dashboards, enabling remote monitoring and access to strategic metrics for planning and logistics optimization. 6) Intelligent integrated system for storage, management and collection of post-consumer waste materials, as per claim 1, characterized by comprising an electrical power supply system with a hybrid energy supply mechanism, comprising a connection to the alternating current grid for main power supply; a set of photovoltaic solar panels, ensuring renewable energy generation and reduction of grid consumption; and a rechargeable battery system, ensuring equipment operation in case of power interruption or absence of electrical infrastructure; energy management is performed by an intelligent controller, which prioritizes the source with the least environmental impact and optimizes energy distribution according to operational demand. 7) The intelligent system for storing, managing, and collecting post-consumer waste materials, as per claim 1, is characterized by a method of continuous monitoring and predictive analysis, based on the integration of IoT sensors, Artificial Intelligence (AI), and cloud computing; the system allows for the acquisition, processing, and automated decision-making regarding the equipment's operational data, ensuring efficiency in waste collection and management; the sensors distributed throughout the equipment capture real-time information on fill levels, internal temperature, humidity, leachate presence, opening and closing of disposal ports, as well as the authentication of collection vehicles via RFID; the collected data is securely transmitted through a Cloud Gateway, using LoRaWAN and MQTT protocols;Data processing occurs in an ETL (Extraction, Transformation, and Loading) module, where information is organized and stored in a centralized database; AI-based predictive analysis dynamically adjusts collection routes, predicting disposal patterns and optimizing urban infrastructure to reduce operational costs and environmental impacts; the system prioritizes operational alerts, ensuring that critical events, such as fires and structural failures, are processed before conventional events, such as full waste bin fill or leachate accumulation; the analyzed information is made available via API, allowing integration with municipal platforms and interactive dashboards, ensuring transparency in public management and better strategic planning for waste collection. 8) The monitoring method, as per claim 7, is characterized by comprising an intelligent alert system that classifies and displays operational events with different levels of criticality in a graphical interface; critical alerts, such as fires or mechanical failures, take priority over conventional events, such as full fill of the waste container or accumulation of leachate, ensuring that decision-making is guided by the level of urgency; the monitoring of operational data occurs both automatically through Artificial Intelligence and through manual validation by the responsible managers; the information is presented in an integrated manner to a public management system, allowing the competent bodies to have continuous access to the status of the underground waste containers, optimizing collection and maintenance operations. Petition 870250076251, dated 08 / 28 / 2025, pp. 35 / 36

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