System and method for early fire detection and extinguishing on façades with integrated and automated management via artificial intelligence and a real-time evacuation application

Abstract

The present invention relates to a system and method for early fire detection and extinguishing on façades with integrated and automated management via artificial intelligence and a real-time evacuation application comprising: extinguishing actuators; detection means; a processing unit (4); an artificial intelligence engine that processes the data to determine the probability of a fire event, based on a multiple correlation of this data, and, where applicable, activate one or more of the extinguishing actuators; and a warning and notification system having a software application that generates a dynamic evacuation map for a user. The steps of the method comprise: A) receiving data from the detection means; B) processing this data in a central processing unit (4) using an artificial intelligence engine to determine the presence of a fire; C) activating extinguishing actuators; and D) generating an evacuation plan in real time.

Description

[0001] DESCRIPTION

[0002] SYSTEM AND METHOD FOR ADVANCED FIRE DETECTION AND EXTINGUISHING ON FACADES WITH INTEGRATED AND AUTOMATED MANAGEMENT THROUGH ARTIFICIAL INTELLIGENCE AND REAL-TIME EVACUATION APPLICATION

[0003] OBJECT OF THE INVENTION

[0004] The invention, as stated in the present descriptive report, refers to an advanced fire detection and extinguishing system and method for facades with comprehensive and automated management through artificial intelligence and real-time evacuation application, providing advantages and features, which are described in detail below.

[0005] The object of the present invention is a system and method for advanced detection and extinguishing of fires on facades that specifically contemplates an integrated and automated management of said detection and extinguishing through the use of artificial intelligence as well as a mobile application to generate in real time an evacuation map of the building.To this end, the system is distinguished, essentially, by comprising at least: one or more extinguishing actuators, preferably a sprinkler system installed on the facade, a plurality of detection means, such as cameras and sensors, at least one temperature sensor; a central processing unit, which receives data from said detection means; an artificial intelligence engine with an algorithm that processes said data to determine the probability of a fire event, based on a multifactorial correlation thereof; and an alert and notification system that, at least, comprises a software application that receives a signal from the processing unit and, where appropriate, activates the extinguishing actuators and generates a dynamic evacuation map for a user.In turn, the advanced fire detection and suppression method basically comprises the following steps: receiving multiple data points from one or more detection devices; processing said data through the processing unit with the artificial intelligence engine algorithm to determine the presence of a fire; activating one or more suppression actuators in response to said determination; and generating a dynamic, real-time evacuation plan through the mobile application. FIELD OF APPLICATION OF THE INVENTION.

[0006] The field of application of the present invention is framed within the sector of the industry dedicated to the manufacture of fire detection systems, encompassing at the same time the field of security and fire extinguishing systems, particularly those applicable to building facades.

[0007] BACKGROUND OF THE INVENTION

[0008] As is well known, fire spread through facades is one of the fastest and most dangerous ways a fire can spread in a building. Over time, the materials used in facades have evolved significantly, driven by the need to meet increasingly stringent energy efficiency standards. This change has directly influenced the design of building envelopes, leading to the introduction of new materials that exhibit very different fire behaviors compared to traditional materials.

[0009] Furthermore, current fire detection systems are mostly reactive. They rely on fixed thresholds to activate alarms and sprinklers, and their response is limited to triggering an audible alarm and calling emergency services. This results in numerous false alarms and a lack of predictive and customized response capabilities that could optimize safety and evacuation.

[0010] The objective of the present invention is to provide a fire detection and extinguishing system that, through the use of artificial intelligence, allows for comprehensive and automated management of fire detection and extinguishing. Furthermore, it enables the generation of a building evacuation map so that building occupants can follow it in real time via a mobile application, thus providing a key advantage by directly and effectively addressing the prevention of fire spread through facades, overcoming deficiencies in current systems.

[0011] The fire risk of a building is managed through a comprehensive approach based on multiple layers of protection, which include, arranged chronologically: prevention, detection, evacuation, compartmentalization, suppression, and structural resistance.

[0012] However, when a fire breaks out, the time needed to control it effectively is divided into two critical phases: Detection and alarm, that is, the time needed to identify the fire and transmit the alarm; and activation of extinguishing resources, that is, the time required for extinguishing systems to activate.

[0013] These two phases, along with the effectiveness of public services, constitute what is known as the time required to initiate fire suppression. This time is crucial for risk assessment, and therefore the essential objective of the present invention is to provide a system to minimize these times as much as possible by implementing measures that significantly reduce the time required to initiate fire suppression.

[0014] In this context, the automatic installations and fire protection elements comprising the invention, applied specifically to facades and adjacent building systems, play a fundamental and innovative role, and contribute significantly to the management and mitigation of fire risk, improving the response to emergencies and increasing the overall safety of the building.

[0015] Any facade, regardless of its type or the materials it is made of, can act as a path for the spread of fire. However, the relationship with fire is particularly critical in certain types, such as ventilated facades, exterior insulation systems, lightweight facades, and curtain walls, due to the poor thermomechanical performance of their constituent elements.

[0016] Furthermore, facades located in interior courtyards present an additional risk due to the thermal load from elements independent of the facades stored in galleries and balconies, as well as the difficult access of firefighting equipment to these interior spaces.

[0017] Therefore, the system and method of the present invention are suitable and advisable for any type of facade, which should be understood to include the front of the building, any of its sides or rear sections, and even the roof. Furthermore, fire suppression systems have traditionally been located inside buildings, since their primary function is to combat the fire load localized within those spaces. However, modern construction methods and the incorporation of insulating materials with high combustible content have shifted a significant portion of the risk to the exterior, while conventional fire suppression systems remain limited to the interior, proving ineffective in this new scenario.

[0018] The invention is characterized by integrating technology combined with an artificial intelligence system designed to optimize detection and extinguishing functions. This configuration innovatively enables the relocation of fire suppression systems to the exterior of the building, overcoming the limitations of traditional methods, such as operational failures, false alarms, and the physical impossibility of effective action.

[0019] The system and method of the invention represent a significant advancement over conventional security solutions. Its technical value lies in the redundancy of its architecture (edge ​​server, mesh network), the intelligence of its AI management, and its adaptability for multiple purposes. It is not merely a system that tracks people, but a platform that transforms the physical environment into a smart space that actively cooperates with security and rescue protocols, offering a comprehensive and robust solution for emergency management.

[0020] Furthermore, and with reference to the current state of the art, it should be noted that, at least as far as the applicant is concerned, there is no other known system or method for detecting and extinguishing fires on facades that has technical, structural and constitutive characteristics equal to or similar to those claimed herein.

[0021] EXPLANATION OF THE INVENTION

[0022] The system and method of advanced detection and fire suppression on facades with comprehensive and automated management through artificial intelligence and real-time evacuation application that the invention proposes are configured as an ideal solution to achieve the objectives indicated above, the characterizing details that make it possible and that distinguish them being conveniently included in the final claims that accompany this description.

[0023] Specifically, what the invention proposes, as previously mentioned, is, on the one hand, an advanced fire detection and extinguishing system for facades with comprehensive and automated management through artificial intelligence and real-time evacuation application, which is basically distinguished by comprising:

[0024] - one or more fire extinguishers, installed on a facade,

[0025] - a plurality of detection means, such as one or more cameras and one or more sensors, at least one of which is a temperature sensor;

[0026] - a central processing unit, which receives data from said detection means;

[0027] - an artificial intelligence engine that processes this data to determine the probability of a fire event, based on a multifactorial correlation of the data and, if necessary, activate one or more of the fire suppression actuators; and

[0028] - an alert and notification system that at least comprises a software application that receives a signal from the processing unit and generates a dynamic evacuation map for a user.

[0029] Furthermore, a second aspect of the invention relates to a method of operation of said advanced fire detection and extinguishing system for facades, with comprehensive and automated management through artificial intelligence and real-time evacuation application, which basically comprises the following steps:

[0030] - receive a plurality of data from one or more of the detection means;

[0031] - process said data through the processing unit with the artificial intelligence engine algorithm to determine the presence of a fire;

[0032] - to activate one or more of the extinguishing actuators in response to said determination; and

[0033] - Generate a dynamic, real-time evacuation plan through the mobile application.

[0034] Thus, in one embodiment of the invention, the detection and extinguishing system essentially comprises one or more extinguishing actuators, including at least one automated sprinkler system configured to detect and extinguish or control a fire in its initial stages. This system consists of a network of pipes installed on the facade or facades of the building, to which multiple roller nozzles are connected. These nozzles, through detection means such as a plurality of sensors, including at least one or more temperature sensors, are individually activated when the temperature of the surrounding area exceeds a predetermined threshold. This activation is automatic via the processing unit and the AI ​​motor, so that they discharge water onto the affected area to suppress the fire.

[0035] Thus, the system, through automatic sprinklers or other fire suppression actuators, not only detects fires but also automatically releases water to control and, in many cases, extinguish them. The sprinklers discharge water only in the affected area, preventing the fire from spreading, minimizing damage, and facilitating evacuation. Furthermore, the system can activate alarms to alert other residents and emergency services, at least through the app where the evacuation plan is generated by the processing unit.

[0036] An automatic sprinkler is a fire protection system that is always active, ready to act at any time, 24 hours a day, 365 days a year.

[0037] Sprinklers and other fire suppression systems are mounted on the roof or walls of the building's facade and connected to a network of pipes that provides them with a continuous water supply. Their simple and reliable design makes them automatic valves that open when the temperature exceeds a specific threshold, releasing water only in the area where heat is detected. This network of pipes can be connected to a dedicated pumping system or directly to the public water supply, provided the flow rate and pressure are adequate.

[0038] Additionally, the advanced fire detection and extinguishing system for facades that is the subject of the invention may comprise other detection means, such as cameras, smoke and temperature sensors, and active extinguishing systems based on water, foam, or extinguishing agents, as well as audible and visual alarms, all strategically installed on the facade. Furthermore, the advanced fire detection and extinguishing system for facades also comprises a computer control system through the data processing unit and AI (Artificial Intelligence)-based software that utilizes the detection means.Such as sensors or video cameras installed to detect thermal and visual anomalies associated with incipient fires, where the system uses machine learning algorithms to continuously analyze images in real time and automatically alert emergency services and building occupants if a potential fire is detected. Furthermore, it can be integrated with other building security and management systems for a coordinated and efficient emergency response.

[0039] More specifically, the advanced fire detection and extinguishing system of the invention comprises, in addition to the described automatic sprinkler system, basically the following additional components:

[0040] - Video cameras: Strategically installed on the building's facade, on any side or even the roof, to continuously monitor relevant areas and detect any visual anomalies associated with a fire.

[0041] - Thermal sensors: Placed at key points on the facade to detect temperature changes that may indicate the presence of fire.

[0042] - Smoke, flame, gas, humidity, or other sensors that allow for accurate and early detection.

[0043] - Fire extinguishing water or gas curtain: The fire extinguishing water or gas curtain will automatically deploy on the building's facade once a fire is detected. This curtain will help contain and extinguish the fire, preventing its spread to other areas of the building.

[0044] In any case, the system always includes the data processing unit: responsible for collecting and analyzing information from cameras and sensors in real time, using AI algorithms to identify patterns consistent with fires. It will also integrate additional algorithms to detect specific patterns associated with fires on the building's facade.

[0045] And an alert and notification system: Responsible for alerting building occupants and emergency services in case of detecting a fire, using audible alarms, text messages, mobile notifications, among other means.

[0046] This alert system comprises, at least, the software application that, through the processing unit, generates a dynamic evacuation map for a user in real time.

[0047] All components of the system are integrated and coordinated to ensure a rapid and effective response to emergencies.

[0048] Optionally, the system also includes compartmentalization means, firebreaks to divide the facades into watertight sections and limit the spread of fire and toxic fumes through the building.

[0049] The system preferably includes smoke, gas, flame, and temperature detectors as detection sensors. Thus, in addition to smoke detectors (whether optical, ionization, or photoelectric) and gas detectors, the system also considers the inclusion of devices specifically designed to detect the direct presence of flames or the heat generated by a fire. These are known as flame detectors and temperature detectors.

[0050] In certain environments, the smoke produced by a fire may be virtually imperceptible or even nonexistent before the flames develop. Furthermore, the building's structure may not allow for sufficient smoke detection to alert anyone to a fire, or it may be an open space where smoke does not accumulate significantly. In these cases, flame or heat detectors are the most suitable option to ensure early and effective fire detection.

[0051] The main distinction between a flame detector and a temperature detector lies in the detection methods they employ. Flame detectors use sensors that capture infrared and / or ultraviolet light to directly identify the presence of flames, while temperature or thermal detectors rely on temperature measurement using various devices such as PRT / RTD sensors, quartz bulbs, metal sheets with a coefficient of thermal expansion, heat-sensitive cables, or fiber optic cables. These detectors are designed to identify a temperature threshold that indicates the presence of a fire or an abnormally rapid increase in temperature in a specific area.

[0052] The system can include any of the different types of flame or temperature detectors available on the market, preferably: as rate-of-rise detectors: electronic, thermoelectric, or pneumatic tube or chamber versions; thermal or advanced thermal detectors; and as flame detectors: infrared (IR), ultraviolet (UV), ultraviolet / infrared (LIV / IR), or image-based.

[0053] In a preferred embodiment of the invention, each of the steps contemplated in the advanced fire detection and extinguishing method of the invention is specified in, or further comprises, the following:

[0054] - the data reception step:

[0055] - in the use of the described plurality of sensors as means of detection, said sensors being selected from thermal, infrared, optical and / or gas sensors, and arranged on the facade of the building;

[0056] - the transmission of data by the sensors to a central processing unit configured to receive said data from the sensors through a standardized communication protocol (BIM, IoT, and others),

[0057] - the data processing step:

[0058] - in the use of an artificial intelligence engine trained to analyze the received data, identify characteristic patterns of fire initiation and spread on facades and generate an activation signal,

[0059] - the actuator activation step,

[0060] - in the commissioning of one or more of the extinguishing actuators, selected from the fire extinguishing sprinkler system, as well as high-performance water turbines, nozzles, master jets or combinations thereof, arranged on the facade, and

[0061] - the step of generating the evacuation plan in the mobile application,

[0062] - in the implementation of other means of alert and notification

[0063] Furthermore, in the actuator activation step, the processing unit is configured to selectively activate only those extinguishing actuators that are necessary based on the detected location of the fire on the facade.

[0064] In any case, the system and method of the invention are configured to provide an automatic real-time response aimed at reducing the spread of fire through the facade.

[0065] To achieve this, and more specifically, the sensors are integrated with a building BIM platform specifically configured for digital data management and updating, and optimized real-time emergency and evacuation management.

[0066] For its part, the AI ​​engine is trained using historical data on fires in ventilated facades and SATE or other types.

[0067] In addition, the processing unit includes a hierarchical decision layer, which prioritizes the activation of actuators based on:

[0068] - heat intensity,

[0069] - wind direction,

[0070] - building evacuation routes.

[0071] Ideally, fire suppression actuators, in addition to the sprinkler system, include water turbines or adjustable high-pressure water lances, also configured to generate jets or a water curtain that isolates the facade from the fire or extinguishes the flames.

[0072] In any case, the system includes a remote control interface that allows emergency personnel to monitor the status of the sensors, override or modify automatic system commands.

[0073] The method also stipulates that the sensor data will be processed through a secure IoT environment with cybersecurity protocols to ensure signal integrity in case of emergency.

[0074] Furthermore, the system's response includes the coordinated sequential activation of different actuators to maximize the effectiveness of the extinguishing process with minimal water consumption.

[0075] Thus, the advanced fire detection and extinguishing method that is the subject of the invention is configured as a procedure for the comprehensive management of a fire in a building by combining data from cameras, sensors and an AI algorithm to activate an extinguishing system and generate an evacuation plan in real time, since:

[0076] - First, it receives the camera notification wirelessly.

[0077] - Next, it combines that warning with temperature and humidity data from other sensors.

[0078] - Next, the system's specific AI algorithm analyzes all this data together to determine if it is not a person, but an ongoing or potential fire.

[0079] - And finally, the system makes the decision to activate the firefighting resources and, at the same time, sends a dynamic evacuation plan to the users' app, emergency services, etc., recalculating safe routes in real time based on the information it is receiving.

[0080] The method, therefore, works through what is known as data fusion or multifactorial analysis. Instead of relying on a single source of information (for example, just the camera), the system integrates and evaluates multiple data points to make a more accurate decision. Artificial intelligence does not operate in isolation; rather, it is the tool that processes and correlates all this information to identify risk patterns, following this logic: Data Inputs: The system receives a variety of real-time data from different sensors.

[0081] Camera: The camera detects an anomaly. Its pre-existing algorithm could identify an unusual "shape" or "movement".

[0082] Thermal sensors: They measure ambient temperature and detect sudden increases. Smoke sensors: They detect the presence of smoke particles in the air.

[0083] Gas sensors: They can detect gases associated with a fire.

[0084] The AI ​​algorithm is programmed not to act on a single piece of data. Instead, it uses a machine learning model to analyze the combination of data. If the camera detects unusual movement, flames, or smoke, but the temperature, smoke, and gas sensors show no changes, the system concludes it's a false alarm (it could be a person with a lighter, smoke from a chimney, etc.). However, if the camera detects a shape while the thermal sensor registers a 50°C increase in 20 seconds and the smoke sensor detects particles, the AI ​​algorithm correlates this data and determines with a high probability that it's a fire. Based on the analysis of all this data together—its "training"—the system makes a decision.In the event of a fire, the system activates one or more fire extinguishing actuators, the closest and most effective to the source of the fire, while generating information to notify emergency services and sending an alert with a personalized evacuation plan to the application.

[0085] With all this in mind, the main advantages that digitization and remote management bring to fire safety on facades with the system that is the subject of the invention are numerous, including the following:

[0086] - Improved quality of facilities: Digitalization allows constant monitoring of the status and operation of fire protection systems, facilitating the immediate detection of defects or failures, ensuring that the systems are always operational and in optimal condition.

[0087] - Continuous Monitoring: Buildings, even when unoccupied or outside of operating hours, can be under constant surveillance. This ensures that any anomalies or problems in the protection systems are identified and addressed promptly, reducing the risk of serious incidents.

[0088] - Continuous Monitoring: Managing and administering the collected information allows for more reliable maintenance. Continuous monitoring ensures that any defects or failures are detected and corrected before they can compromise the building's safety.

[0089] - Optimizing emergency services response: Transmitting alarms with detailed information facilitates and optimizes the response of emergency services. Accurate, real-time information allows emergency teams to act more effectively and quickly, minimizing damage and protecting lives.

[0090] - Predictive actions and proactive maintenance: The continuous flow of data on the status and incidents of the systems allows the implementation of predictive actions, reducing the need for technical assistance and identifying obsolescence problems before they become serious failures.

[0091] Meanwhile, the integration of artificial intelligence (AI) has taken digitalization in fire safety to the next level. The system uses advanced technologies such as smoke detection and AI algorithms to recognize early fire patterns. These technologies allow the systems to differentiate between false alarms and real threats, thus optimizing response time and improving the overall effectiveness of safety measures.

[0092] Real-time communication from the system. The system communicates with other devices and emergency services. The ability to transmit information about a fire in real time allows for a faster and more coordinated response. Furthermore, the automation of fire suppression system activation and building evacuation improves the speed of emergency response, protecting lives and minimizing damage.

[0093] Specialized software for the system that is the subject of the invention. Digitalization has also advanced in the development of specialized software for managing the maintenance of fire protection systems (FPS). In this case, the software provides a comprehensive view of the security infrastructure, including the location of equipment, the status of detection and extinguishing devices, and maintenance records. Its key features include:

[0094] - Automatic maintenance scheduling: Allows for efficient management of preventive maintenance, with automatic alerts to remind you of inspection and testing dates.

[0095] - Monitoring the useful life of components: Facilitates the management of the equipment life cycle, ensuring that the components are kept in optimal condition.

[0096] - Generation of detailed reports: Automates the issuance of inspection certificates, technical reports and anomaly summaries, improving administrative management and facilitating communication between the head office, maintenance team and customers.

[0097] As previously mentioned, the system includes firebreaks or fire barriers. These fire barriers play a crucial role in preventing the spread of fire within a building, and in this case, on the facade. They are high-protection, mobile textile systems designed to partition and segment spaces, ensuring structural integrity and thermal insulation during a fire. Furthermore, the fire barriers contain smoke, providing an innovative and discreet solution that does not compromise the building's aesthetics.

[0098] Textile fire protection systems, such as fire curtains and smoke barriers, can be discreetly integrated into the facade. These systems are typically enclosed in compartments designed to be virtually invisible, maintaining the aesthetics of the space. When activated, they deploy rapidly to perform their containment function. This enclosed design also facilitates maintenance and extends the material's lifespan by protecting it from harsh environmental conditions.

[0099] It should be mentioned that, in any case, the facade fire detection and extinguishing system that is the subject of the invention also comprises the following resources:

[0100] - The use of BIM (Building Information Modeling) tools, which allows the creation, management and collaboration on construction projects through a digital model that integrates all relevant information of a building, from its design and construction to its operation and maintenance, allowing owners and managers, especially in high-rise buildings, to provide crucial information to local emergency services, as it can include detailed design information, updated plans, additional construction drawings and secure information boxes.

[0101] - The incorporation of advanced solutions to manage emergency calls through integration with IoT (Internet of Things) applications.

[0102] - Means of communication with residents, through guides to provide clear safety instructions and electronic guidance systems.

[0103] - Means of evacuation and protection of exit routes, using pressurization systems to keep evacuation routes smoke-free by means of an air overpressure, adapted to protect corridors, stairs, elevators and lobbies.

[0104] - And signaling means, through the inclusion of electronic devices to send evacuation signals throughout the building.

[0105] Thus, in a preferred embodiment of the invention, the advanced fire detection and suppression system for facades with integrated and automated management via artificial intelligence and real-time evacuation application is, therefore, a comprehensive security and evacuation management system conceived as a unified, flexible, and proactive solution, capable of managing multiple purposes (logistics and security) from a single centralized platform. Its architecture is based on a hybridization of technologies and functional redundancy, supervised by Artificial Intelligence (AI).

[0106] The system architecture is a distributed, hierarchical, and cognitive system, based on the "Cloud of Things" (CoT) concept: an architecture that centralizes the management of IoT devices in the cloud, facilitating connectivity, remote control, secure data storage, and advanced real-time analytics for system and service optimization. By connecting smart objects to the cloud, it enables remote management, data collection, and real-time analysis to improve efficiency and decision-making.

[0107] In a preferred embodiment, the steps of the method of the invention are basically broken down as follows:

[0108] - Detection and Collection Layer (Perception) (data reception)

[0109] • Multi-Modal Sensors: The system is powered by a network of interconnected sensors (IoT) that are not limited to smoke detection. It includes:

[0110] • AI Thermal and Image Sensors: Thermal and optical cameras that, through computer vision algorithms, detect patterns of heat, flames and smoke in their early stages, differentiating them from false alarms (e.g. steam, dust).

[0111] • Acoustic Sensors: Microphones that analyze sound patterns to identify the "crackling" of fire or the collapse of structures.

[0112] • Gas and Particle Sensors: Detect carbon monoxide, CO2 and fine particles, indicative of combustion.

[0113] • Environmental Data: Integration of meteorological and air quality data to predict fire spread.

[0114] - Intelligence and Processing Layer (Cognition) (processing the data):

[0115] • AI Core - "Cognitive Decision Engine": This is the core component and the key to patentability. It is not a simple decision algorithm, but a deep neural network that integrates and correlates sensor data.

[0116] It operates under the following principles:

[0117] • Weighted Sensor Fusion: Combines sensor data, assigning a dynamic weight to each data point based on its reliability and context. For example, a high smoke reading without a temperature increase could be a false alarm.

[0118] • Predictive Analysis: Uses predictive fire spread models based on fire physics, building topography, and wind speed (if it is outdoors).

[0119] It predicts the safest evacuation route and risk zones. • Reinforcement Learning for Extinguishing: In the event of activation of on-site firefighting resources, the AI ​​adjusts the pressure and flow rate of automatic fire extinguishers (e.g., sprinklers) in real time based on feedback from thermal sensors. It learns to optimize extinguishing with minimal water damage.

[0120] - Action and Coordination Layer (Action) (activation of actuators and generation of the evacuation plan):

[0121] • Response Automation: After validating the incident, the AI ​​core sequentially and in a coordinated manner activates the following systems:

[0122] • Extinguishing by Own Means: Activates sprinklers or clean agent extinguishing systems, adjusting their operation according to the AI ​​analysis.

[0123] • Dynamic Alarm and Evacuation Systems: Generates an audible and visual alarm. Integrates with the application logic to guide evacuation.

[0124] • Emergency Services Notification: Sends an automatic alert to firefighters, police and medical services, providing real-time data: exact location, type of fire, possible risks (e.g. hazardous materials) and estimated number of occupants.

[0125] - Generation of the evacuation plan:

[0126] Application Logic and Evacuation Strategy.

[0127] The logic of the mobile application is the second pillar of innovation, since it is not limited to notifying, but directing the evacuation in real time.

[0128] To achieve this, the app has specific code and functionalities that allow it to use existing platforms (for example: frameworks such as Flutter or React Native), specifically through:

[0129] • A routing algorithm within the App that, based on AI data, generates a dynamic evacuation map in real time that is updated according to the spread of the fire.

[0130] • A notification system that not only gives an alarm, but also offers specific voice or visual instructions to guide the person to the safest exit.

[0131] • An interface that translates complex AI decisions into simple and safe instructions for the user.

[0132] Dynamic Evacuation Routing: • Adaptive Routing Algorithm: Unlike static maps, this algorithm uses predictive analytics from the AI ​​core to generate and update safe evacuation routes in real time. If a route is compromised by fire or smoke, the application recalculates the best alternative.

[0133] • Geolocation and Occupant Status: The app uses the phone's GPS and motion sensors, among other systems, to track users' location and status (e.g., whether they are moving or have stopped). This allows emergency services to know the location of trapped individuals.

[0134] • Edge Detection and Localization

[0135] • Devices: In addition to mobile phones, you can use Ultra-Wideband (UWB) tags or wristbands for precise and reliable location tracking, even through obstacles, complemented by Bluetooth® Low Energy (BLE) technology for low power consumption and proximity management. These tags are heat and water resistant.

[0136] • Sensor Network: A network of dual gateways (UWB / BLE), connected to the building's local network via PoE, which guarantees power and data network connectivity, even in the event of failure of other sources. This network is designed as a mesh to ensure that the loss of one node does not collapse the network.

[0137] • Centralized Intelligent Processing Edge Server:

[0138] A local physical server, located in a secure data room. It processes geolocation data in real time with minimal latency, ensuring system operability even if the cloud connection is lost.

[0139] • Artificial Intelligence (AI) Module: The "brain" of the system. It analyzes occupancy patterns, generates predictive risk models, and manages automated decision-making. It is capable of:

[0140] Predictive Analysis: Predicting the movement of people and optimal evacuation routes.

[0141] • Autonomous Decision Making: Automatically send alerts and activate security protocols when a threat is detected.

[0142] • Dynamic Management: Reconfigure evacuation routes in real time based on the evolution of the emergency (e.g., redirecting occupants if an exit is compromised).

[0143] Post-Evacuation Verification and Control Verification Units: • Control points (RFID / NFC readers) located at safe assembly points outside the building. They operate with backup power and redundant connectivity (4G / 5G).

[0144] • Functionality: Evacuees register their departure, which updates the system's census. AI automatically reconciles this list with the last known occupancy census to generate an accurate, real-time list of missing persons.

[0145] Operating Modes and Operational Flexibility

[0146] • The system can operate in two main modes that guarantee maximum efficiency and safety:

[0147] • Normal Operating Mode (Logistics and Asset Management): In this mode, the system uses its infrastructure for non-critical purposes. A clear example is event management, where the system monitors access, capacity, and attendee flow at a conference, providing valuable logistical data.

[0148] • Emergency Operation Mode (Second and Rescue): Upon detecting an incident (via manual alarms or automatic sensors), the system performs an instant transition. AI converts logistical data into an emergency manifest list, and all system functions are geared towards evacuation and final headcount.

[0149] Adaptive User Interface (Voice and Visual Instructions):

[0150] • Haptic and Audio Guidance: The app not only displays a map, but can also provide clear and concise voice instructions ("Turn right in the next corridor, emergency exit 5 meters ahead"). In smoky environments, the phone can vibrate in a specific direction to guide the user.

[0151] In the preferred embodiment of the invention, the main components of the system are:

[0152] - Intelligent Sensors (Edge Layer):

[0153] Advanced Multi-Spectral Sensors: Thermal (IR) cameras, smoke and gas detectors (CO, CO2, VOCs), temperature and humidity sensors, acoustic sensors to detect dangerous sounds (broken glass, small explosions).

[0154] • Structural Integrity Sensors: Vibration, deformation, and temperature sensors on key structural elements.

[0155] • Occupancy Sensors: 3D cameras with computer vision for counting and locating people, BLE / Wi-F beacons for tracking mobile devices.

[0156] • Directional Microphones: To determine the direction of key sounds.

[0157] • Edge Data Reduction: Each sensor or group of sensors incorporates microcontrollers with basic inference capabilities (TinyML) to filter noise, pre-process data, and send only relevant information or critical events to the Core, reducing latency and network load.

[0158] - Central AI Core (Cloud / On-Premise Hybrid):

[0159] • Data Fusion Engine: Receives pre-processed data from the sensor layer. It uses Bayesian fusion algorithms and convolutional neural networks (CNNs) to correlate and contextualize information from multiple sources, creating a coherent, real-time picture of the building's condition.

[0160] • Cognitive Coordination Engine (CCE):

[0161] • Multi-Scale Reactive Digital Twin: Maintains a dynamic 3D model of the building, updating the position, spread, and severity of the fire, the location of people, the status of evacuation routes, and structural integrity in real time. It uses physics-based simulations and lightweight, GPU-accelerated computational fluid dynamics (CFD) models to predict the spread of fire and smoke with a short time horizon.

[0162] • Multi-Objective Optimization Algorithms:

[0163] Dynamic Evacuation Routing (DDR): Calculates optimal and personalized routes for each occupant (or groups), considering the location of the fire, the speed of spread, the occupancy density of the exits, accessibility (disabled), and the structural condition of the building.

[0164] • Firefighting Resource Management: Modulates the activation of firefighting systems (sprinklers, clean agents) in a localized and sequential manner, minimizing damage and maximizing effectiveness. Prioritizes critical areas or containment.

[0165] • Emergency Resource Allocation: Provides data and suggestions to external emergency services on safer access points, location of hotspots, and trapped people.

[0166] • Continuous Learning Module: Learns from each simulated or real incident (provided data is collected safely and ethically) to refine predictive models, routing algorithms, and extinction strategies. It uses reinforcement learning and transfer techniques.

[0167] - Intelligent Actuators:

[0168] • Automated Extinguishing Systems: Zone-controlled sprinklers, targeted clean agent systems, intelligent water curtains.

[0169] • Ventilation and Pressurization Systems: Dynamic control of HVAC systems to manage smoke spread, creating refuge areas or clearing routes.

[0170] • Adaptive Emergency Lighting: Dynamic light paths that guide occupants along the safest routes.

[0171] • Automated Doors and Turnstiles: Access and flow control to direct evacuation or block areas.

[0172] • Sound and Paging Systems: Audible alerts, directional voice instructions, and personalized messages.

[0173] • Digital Displays and Adaptive Signage: These display dynamic evacuation maps and messages. Adaptive signage consists of intelligent signage systems connected to the Center of Technology (CoT), capable of modifying the visual information they display (symbols, text, colors, or routes) in real time based on data received from sensors, AI algorithms, or computer vision. Their objective is to optimize communication, safety, and response to changes in the environment.

[0174] - Communication Interfaces:

[0175] • API for Emergency Services: Standardized interface for firefighters, police and medical services, providing real-time data (3D maps with fire focus, location of people, structural condition, selected videos).

[0176] • API for Building Management: Integration with BMS (Building Management System) systems for elevator control (emergency descent), energy, and other subsystems.

[0177] • Personalized Notification Services: Push notifications, SMS, automated calls for occupants and stakeholders.

[0178] - In addition, as communication and security protocols, it includes:

[0179] • Internal Communications (Sensors to Core and Core to Actuators): Use of redundant and low-latency networks (5G, Wi-Fi 6E, LoRaWAN for low-power sensors), with MQTT or AMQP protocols over TLS / SSL. End-to-end encryption (AES-256).

[0180] • External Communications (Core to Emergency / Mobile Services): Secure RESTful APIs with OAuth2 authentication and HTTPS encryption.

[0181] • Information Security: All data is stored in encrypted databases. Implementation of firewalls, intrusion detection systems (IDS), and intrusion prevention systems (IPS). Regular security audits and penetration tests. Anonymization of personal data for employment purposes whenever possible.

[0182] - Finally, the data flow includes: -Detection: Sensors detect anomalies (smoke, heat, gases). Edge computing pre-processes and validates the information.

[0183] -Transmission: Key data is sent to the AetherFire-AI CCE.

[0184] -Fusion and Analysis: The CCE merges data from multiple sources, updates the Digital Twin, and uses predictive models to assess the threat.

[0185] -Decision Making: The CCE, using optimization algorithms, determines the optimal actions:

[0186] • Activate alarms and notifications.

[0187] • Modular fire suppression systems.

[0188] • Generate dynamic evacuation routes.

[0189] • Send detailed information to the emergency services.

[0190] -Actuation: The CCE sends commands to the actuators and messages to the external interfaces.

[0191] -Feedback: The sensors continue to monitor and provide feedback to adjust actions in real time.

[0192] With all this, the advantages of the system and method of the invention are numerous:

[0193] - Use of BIM tools for fire safety. The system offers significant advantages by integrating Building Information Modeling (BIM) tools into fire safety management. This allows owners and managers of high-rise residential buildings to provide critical information to local fire and rescue services. Key benefits include:

[0194] • Detailed design information: Owners can provide precise data on the design of the building's facades, the materials used, and any modifications made before or during a disaster. This information includes the identified risk level and the mitigation measures adopted.

[0195] • Updated floor plans: Detailed floor plans are provided, both electronically and in paper format, showing the layout of each floor, the location of elevators, and the main fire safety equipment. This allows for a quick understanding of the building during an emergency.

[0196] • Additional construction plans: A simplified plan of the building's surroundings and the location of fire protection facilities is included, intended for quick reference by fire and rescue services.

[0197] • Secure information box: A secure information box is installed containing printed copies of plans and essential contact details, ensuring that all necessary information is available to emergency teams.

[0198] - Information for residents. The system optimizes communication with residents through digital formats, applications, virtual reality games, podcasts, checklists, among others, ensuring:

[0199] • Clear safety instructions: Survival guides and evacuation plans are provided in formats understandable to all occupants, adapted to the type and characteristics of the building.

[0200] • Electronic orientation systems: Systems are being developed that record and display orientation information for survival in case of fire, facilitating an efficient response from emergency services.

[0201] - Evacuation and protection of exit routes. The system ensures effective evacuation through:

[0202] • Pressurization systems: Systems are implemented to keep evacuation routes smoke-free by means of air overpressure, protecting corridors, stairs, elevators and lobbies.

[0203] • Evacuation plans: Customized evacuation plans are developed and maintained, including for residents with reduced mobility or compromised self-evacuation capabilities, ensuring that the information is up-to-date and available in the building documentation.

[0204] - Internal signage. Internal signage is optimized by ensuring:

[0205] • Clear floor markings: Floor numbers are clearly visible on stair landings and lobbies, even in low light conditions or the presence of smoke.

[0206] • Electronic signaling devices: Devices are installed that allow evacuation signals to be sent to the entire building or to specific areas, using sirens or other electronic mechanisms.

[0207] - Connectivity Solutions The system guarantees reliability and connectivity through products and technologies that improve communication and emergency management, ensuring the protection of residents and the continuity of building operations:

[0208] • CSL Router: A network device that allows multiple devices to connect to the internet or a private network, ensuring secure and reliable connections in home, business, or industrial environments, including IoT applications.

[0209] • CSL SIMs: SIM cards designed for secure and reliable communications in connected devices, integral to the security communication infrastructure and IoT systems.

[0210] • VoiceLink: Converts analog calls from devices such as autodialers or PABX lines into 4G VoLTE mobile transmissions, keeping critical systems such as elevator alarms and emergency lines operational without modifying the existing infrastructure.

[0211] • Push-to-Talk over Cellular (PoC / PTToC) systems: These allow walkie-talkie-type communication via mobile networks (4G, LTE, 5G) or Wi-Fi, with a PTT button to instantly activate voice, both in individual and group calls.

[0212] • How it works: The audio is digitized and transmitted to a Proof of Concept (PoC) server (local or cloud-based), from where it is distributed to other group members. • Key advantages: • Wide coverage using existing infrastructure without the need for private networks or spectrum licenses.

[0213] • Cost reduction: eliminates expenses for traditional radios, licenses and infrastructure; allows the use of smartphones or PoC apps.

[0214] • Rapid deployment: immediate connection to mobile or Wi-Fi networks.

[0215] • Advanced features: group calls, GPS, multimedia messaging and management via web platform.

[0216] In short, the system and method that are the subject of the invention provide a complete and robust solution for the detection and extinguishing of fires on building facades, meeting the requirements of aesthetics, economic viability and functionality.

[0217] DESCRIPTION OF THE DRAWINGS To complement the description being made and in order to help a better understanding of the characteristics of the invention, a sheet of drawings is attached to this descriptive report as an integral part thereof, in which the following has been represented for illustrative and non-limiting purposes: Figure 1 shows a schematic representation of a building with an example of the automatic sprinkler system comprising, for example, the advanced fire detection and extinguishing system that is the subject of the invention, installed on the facade of the building; Figure 2 shows a perspective view of an example of the network of pipes with rolling nozzles that makes up an automatic sprinkler system of the system that is the subject of the invention, showing the arrangement of the different elements it comprises; Figure 3.Figure 4 shows a schematic diagram of a building facade with a more complete example of the system, according to the invention, implemented therein, showing the main parts and elements it comprises; Figure 5 shows a schematic sectional view of an example of a fire curtain comprising the system of the invention installed in windows or doors facing the facade; Figure 6 shows a schematic perspective view of the roof of a building, as an alternative example of the inclusion of combined water jets and nozzles comprising the system as means of detection and extinguishing actuators; Figure 7 shows a view very similar to the previous one, of the roof of a building, in this case with water jets without a chamber; Figure 8 shows a schematic front elevation view of another example of a building with water jets as extinguishing actuators; and Figure 8.- Show, in a flowchart, the main steps of the fire detection and extinguishing method that is the subject of the invention.

[0218] PREFERRED EMBODIMENT OF THE INVENTION

[0219] In view of the aforementioned figures, and in accordance with the numbering adopted, one can observe in them, in a schematic way, non-limiting examples of the advanced fire detection and extinguishing system on facades with comprehensive and automated management by means of artificial intelligence and real-time evacuation application of the invention, which comprises what is described in detail below.

[0220] Thus, as can be seen in the figures, the system of the invention essentially comprises:

[0221] - one or more extinguishing actuators, installed on a facade of a building (2), including as facade any front, rear, side or roof,

[0222] - a plurality of detection means, such as one or more cameras (1) and one or more sensors (3), at least one of said means being a temperature sensor (3);

[0223] - a central processing unit (4), which receives data from said detection means;

[0224] - an artificial intelligence engine, which processes said data to determine the probability of a fire event, based on a multifactorial correlation of the data and, if necessary, activate one or more of the extinguishing actuators; and

[0225] - an alert and notification system that at least comprises a software application that receives a signal from the processing unit and generates a dynamic evacuation map for a user.

[0226] In a preferred embodiment of the invention, as shown in Figures 1 to 4, the system comprises, as extinguishing actuators, at least an automatic sprinkler system (10) configured to, via the processing unit to which they are connected, detect and extinguish or control a fire in its initial stages, comprising a network of pipes (11), installed on the facade or facades of the building (2), in which a plurality of roller nozzles (10.1) are incorporated, which, via the detection means, preferably the temperature sensors (3), are individually activated, for example when the temperature of the surrounding area exceeds a predetermined threshold, so that they discharge water only onto the affected area to suppress the fire.

[0227] Preferably, in the automatic sprinkler system (10) the network of pipes (11) that supplies them with water, does so continuously as a fire curtain of water, either from tanks (12) provided for this purpose and equipped with a dedicated pumping system (13), or from the supply network, provided that the flow rate and pressure are adequate.

[0228] Preferably, the automatic sprinkler system (10) is linked to the processing unit (4) via solenoid valves (7) that control the opening of the water when the temperature exceeds a specific threshold, releasing water only in the area where heat is detected.

[0229] Additionally, the advanced fire detection and extinguishing system for facades of the invention also comprises the following elements:

[0230] - one or more video cameras (1), as means of detection, strategically installed on the facade of the building (2) to continuously monitor relevant areas of said facade and detect any visual anomalies associated with a fire;

[0231] - one or more (3) smoke detection sensors, placed at key points on the facade of the building (2) to detect temperature changes that may indicate the presence of fire;

[0232] Preferably, the data processing unit (4), connected to the detection means, both the cameras (1) and the detection sensors (3), is equipped with specific software to collect and analyze the information from the cameras (1) and sensors (3) in real time, using AI algorithms to identify patterns compatible with fires and automatically alert the emergency services and the building occupants in case of detecting a possible fire, for which the artificial intelligence engine integrates additional learning algorithms to continuously analyze the images in real time, detect specific patterns associated with fires on the facade;For its part, the alert and notification system, optionally, also includes acoustic and / or visual means (5) as well as the use of telecommunication means (15) to contact and alert the occupants of the building and the emergency services in case of detecting a fire, using audible alarms and / or flashing lights and text messages, mobile notifications, among other means that are added to the generation of the evacuation plan of the mobile application, for example for those users who do not have said application installed.;

[0233] Optionally, the advanced fire detection and extinguishing system on facades of the invention also comprises at least a water curtain (6) or fire extinguishing gas curtain automatically deployed on the facade of the building (2) once the processing unit (4) activates the solenoid valve mechanism (7) that triggers it when a fire or fire start is detected by the cameras (1) and / or sensors (3).

[0234] Preferably, the water curtain (6), with the corresponding water or fluid conduits (16), is installed horizontally on the top of the facade of the building (2), as shown in the schematic representation of figure 3, with the water or fluid being supplied from tanks (12) provided for this purpose on the roof by means of a dedicated pumping system (13) or, in the case of water, from the supply network, provided that the flow rate and pressure are adequate.

[0235] Optionally, the system also comprises one or more means of compartmentalization or firebreaks (8) which, preferably, are also linked to the processing unit (4), so that they can be automatically deployed and divide watertight sections of the facade to limit the spread of fire and toxic fumes through the building.

[0236] Preferably, these firebreaks (8) consist of roll-up curtains made of a specific fire-resistant textile material, strategically installed at one or more points on the building's facade (2), for example, at doors or windows, to prevent the fire from spreading into the building (2). Preferably, when rolled up in the resting position, these curtains are housed in concealed casings (9), as shown in Figure 4. Furthermore, the system may include, as mentioned above, high-performance water jets or nozzles (10.2) that form a water curtain, as shown in Figure 7, and / or that spray water in an orientable manner, as shown in Figures 5 and 6. These water jets (10.2) can be installed anywhere on the facade, including the lower part or the roof of the building (2) And, optionally, incorporated together with the detection cameras (1), as shown in the example in figure 5. And, in addition to such high-performance water turbines or lances (10.2), the extinguishing actuators can also comprise master jets or combinations of these with the lances or with the nozzles (10.1) of the automatic sprinkler system (10), arranged on the facade of the building (2).

[0237] Alternatively, the data processing unit (4) can be installed on a remote server or manager and connected to the different system components via a control panel (14) installed in the building (2) and equipped with a remote communication modem via the Internet or intranet.

[0238] Preferably, the smoke detection sensors (3) are flame and / or temperature sensors, and may include electronic, thermoelectric, or pneumatic tube rate-of-rise detectors, thermal or advanced thermal detectors, as well as infrared (IR) and / or ultraviolet (UV) flame detectors, or image detectors, or any combination thereof.

[0239] In addition, although not shown, the described system may also include the existence of pressurization systems in the building, to keep evacuation routes smoke-free by means of an overpressure of air, for example installed in corridors, stairwells, elevators and lobbies of the building (2); and / or the existence of electronic signaling devices, installed in different areas of the building (2), to send evacuation signals throughout the building.

[0240] Finally, in a preferred and more complete embodiment of the invention, the system's extinguishing actuators encompass multiple elements, comprising: - Automated extinguishing systems: Zone-controlled sprinklers, targeted clean agent systems, intelligent water curtains.

[0241] - Ventilation and pressurization systems: Dynamic control of HVAC systems to manage smoke spread, creating refuge areas or clearing routes.

[0242] - Adaptive emergency lighting: Dynamic light paths that guide occupants along the safest routes.

[0243] - Automated doors and turnstiles: Access and flow control to direct evacuation or block areas.

[0244] - Sound and paging systems: Audible alerts, directional voice instructions, and personalized messages.

[0245] - Digital screens and adaptive signage: Display dynamic evacuation maps and messages.

[0246] In this preferred embodiment, the system's detection means consist primarily of intelligent sensors comprising:

[0247] - Advanced multi-spectral sensors: Thermal (IR) cameras, smoke and gas detectors (CO, CO2, VOCs), temperature and humidity sensors, acoustic sensors to detect sounds of danger (broken glass, small explosions).

[0248] - Structural integrity sensors: Vibration, deformation, and temperature sensors on key structural elements.

[0249] - Occupancy sensors: 3D cameras with computer vision for counting and locating people, BLE / Wi-F beacons for tracking mobile devices.

[0250] - Directional microphones: To determine the direction of key sounds.

[0251] In addition, each sensor or group of sensors preferably incorporates microcontrollers with basic inference capabilities (TinyML) to filter noise, pre-process data, and send only relevant information or critical events to the Core, reducing latency and network load.

[0252] Furthermore, in said preferred embodiment, the AI ​​engine of the processing unit is a core AI engine (Cloud / On-Premise Hybrid) which, in turn, comprises:

[0253] - Data Fusion Engine: Receives pre-processed data from the sensor layer. Uses Bayesian fusion algorithms and convolutional neural networks (CNNs) to correlate and contextualize information from multiple sources, creating a coherent, real-time picture of the building's condition.

[0254] - Cognitive Coordination Engine (CCE):

[0255] - Multi-Scale Reactive Digital Twin: Maintains a dynamic 3D model of the building, updating the position, spread, and severity of the fire, the location of people, the status of evacuation routes, and structural integrity in real time. It uses physics-based simulations and lightweight, GPU-accelerated computational fluid dynamics (CFD) models to predict the spread of fire and smoke with a short time horizon.

[0256] - Multi-Objective Optimization Algorithms:

[0257] -Dynamic Evacuation Routing (DDR): Calculates optimal and personalized routes for each occupant (or groups), considering the location of the fire, the speed of spread, the occupancy density of the exits, accessibility (disabled), and the structural condition of the building.

[0258] - Firefighting Resource Management: Modulates the activation of firefighting systems (sprinklers, clean agents) in a localized and sequential manner, minimizing damage and maximizing effectiveness. Prioritizes critical areas or containment.

[0259] - Emergency Resource Allocation: Provides data and suggestions to external emergency services on safer access points, location of hotspots, and trapped people.

[0260] - Continuous Learning Module: Learns from each simulated or real incident (provided data is collected safely and ethically) to refine predictive models, routing algorithms, and extinction strategies. It uses reinforcement learning and transfer techniques.

[0261] Furthermore, in the preferred embodiment, the system also comprises, as communication interfaces:

[0262] - API for Emergency Services: Standardized interface for firefighters, police and medical services, providing real-time data (3D maps with fire focus, location of people, structural condition, selected videos).

[0263] - Building Management API: Integration with Building Management Systems (BMS) for elevator control (emergency descent), energy management, and other subsystems. - Personalized Notification Services: Push notifications, SMS, and automated calls for occupants and stakeholders.

[0264] Figure 8 shows the flowchart of the main steps involved in the advanced fire detection and extinguishing method for facades with integrated and automated management using artificial intelligence and real-time evacuation application, which is the subject of the invention, and which include at least the following steps:

[0265] - A) receive a plurality of data from one or more of the detection means;

[0266] - B) process said data through the processing unit with the artificial intelligence engine algorithm to determine the presence of a fire;

[0267] - C) activate one or more of the extinguishing actuators in response to said determination; and

[0268] - D) Generate a dynamic, real-time evacuation plan through the mobile application.

[0269] Additionally, preferably, step A), data reception, includes:

[0270] - the use of multiple sensors as means of detection, said sensors being selected from thermal, infrared, optical and / or gas sensors, and arranged on the facade of the building; and

[0271] - The transmission of data by sensors to a central processing unit configured to receive such data from the sensors via a standardized communication protocol, such as BIM, IoT, or others. Specifically, the use of BIM tools to facilitate the work of emergency services; and / or the use of IoT applications to facilitate communication with residents and manage emergency calls.

[0272] Step B), data processing, comprises:

[0273] - the use of an artificial intelligence engine trained to analyze the data received, identify characteristic patterns of fire start and spread on facades and generate an activation signal for the extinguishing actuators.

[0274] Step C), activation of actuators, comprises: - the operation of one or more of the extinguishing actuators, selected from the fire extinguishing sprinkler system, as well as high-performance water turbines, lances, master jets or combinations thereof, arranged on the facade.

[0275] Step D), generating the evacuation plan in the mobile application, also includes implementing other alert and notification methods besides generating the evacuation plan in the mobile application. Having sufficiently described the nature of the present invention, as well as how to implement it, it is not considered necessary to provide a more extensive explanation so that any expert in the field can understand its scope and the advantages derived from it.

Claims

CLAIMS 1.- Advanced fire detection and extinguishing system for facades with comprehensive and automated management through artificial intelligence and real-time evacuation application, characterized by comprising: - one or more extinguishing actuators, installed on a facade of a building (2), including as facade any front, rear, side or roof; - a plurality of detection means, at least one of said means being a temperature sensor (3); - a central processing unit (4), which receives data from said detection means; - an artificial intelligence engine, which processes said data to determine the probability of a fire event, based on a multifactorial correlation of the data and, if necessary, activate one or more of the extinguishing actuators; and - an alert and notification system that at least comprises a software application that receives a signal from the processing unit and generates a dynamic evacuation map for a user.

2. The system of claim 1, characterized in comprising, as extinguishing actuators, at least an automatic sprinkler system (10) configured to, through the processing unit (4) to which it is connected, detect and extinguish or control a fire in its initial stages, comprising a network of pipes (11), installed on the facade or facades of the building (2), in which a plurality of rolling nozzles (10.1) are incorporated, which, through detection means, are individually activated, so that they discharge water only on the affected area.

3. The system of claim 2, characterized in that, in the automatic sprinkler system (10), the network of pipes (11) are configured to supply water continuously as a fire curtain, either from tanks (12) provided for this purpose and equipped with a dedicated pumping system (13), or from the supply network, provided that the flow rate and pressure are adequate.

4. The system of claim 2 or 3, characterized in that the automatic sprinkler system (10) is linked to the processing unit (4) through solenoid valves (7) that control the opening of the water, releasing water only in the area where heat is detected.

5. The system of any of the preceding claims, characterized in that it further comprises, as means of detection, one or more video cameras (1) installed on the facade of the building (2) to continuously monitor areas of said facade and detect any visual anomaly associated with a fire.

6. The system of any of the preceding claims, characterized in that it further comprises one or more smoke detection sensors (3), placed at points on the facade of the building (2) to detect temperature changes that may indicate the presence of fire.

7. The system of claims 5 and 6, characterized in that the data processing unit (4), connected to the cameras (1) and the detection sensors (3), is equipped with specific software for collecting and analyzing information from the cameras (1) and the sensors (3) in real time, and the artificial intelligence engine integrates algorithms for identifying patterns compatible with fires and additional learning algorithms for continuously analyzing the images in real time, and automatically alerting emergency services and building occupants in case of detecting a possible fire; and 8. The system of claim 7, characterized in that the alert and notification system comprises acoustic and / or visual means (5) and telecommunication means (15) to contact and alert the building occupants and the emergency services in case of detecting a fire, using audible alarms and / or flashing lights and text messages, mobile notifications, among other means.

9. The system of any of claims 4 to 8, characterized in that it further comprises at least one fire-extinguishing water curtain (6) or gas curtain automatically deployed on the facade of the building (2) once the processing unit (4) activate a solenoid valve mechanism (7) that triggers it when a fire or fire start is detected.

10. The system of claim 9, characterized in that the water curtain (6), with corresponding water or fluid conduits (16), is installed horizontally on the upper part of the facade of the building (2), the water or fluid being supplied from tanks (12) provided for this purpose on the roof by means of a dedicated pumping system (13) or, in the case of water, from the supply network.

11. The system of any of the preceding claims, characterized in that it comprises, as extinguishing actuators, high-performance turbines or water lances (10.2), master jets or combinations thereof, which form a curtain of water and / or which expel water in an orientable manner, 12.- The system of any of the preceding claims, characterized in that it comprises one or more means of compartmentalization or firewalls (8).

13. The system of claim 12, characterized in that the firewalls (8) are linked to the processing unit (4) and configured to deploy automatically and divide watertight sections of the facade to limit the spread of fire and toxic fumes through the building (2). 14.- The system of claim 12 or 13, characterized in that the fire barriers (8) are formed by roller curtains of specific fire-resistant textile material strategically installed at one or more points on the facade of the building (2), such as doors or windows. 15.- The system of any of the preceding claims, characterized in that the data processing unit (4) is installed in a remote server or manager and connected to the different components of the system through a control panel (14) installed in the building (2) equipped with a modem for communication via the Internet or intranet.

16. The system of claim 6, characterized in that the detection sensors (3) Smoke sensors are infrared (IR) and / or ultraviolet (UV) flame sensors, or image sensors, or they are temperature sensors, electronic, thermoelectric or pneumatic tube thermovelocimetric sensors, thermal or advanced thermal detectors. 17.- The system of any of the preceding claims, characterized in that it comprises pressurization systems, for maintaining smoke-free evacuation routes by means of an air overpressure, installed in corridors, stairwells, elevators and lobbies of the building (2). 18.- The system of any of the preceding claims, characterized in that it comprises electronic signaling devices, installed in different areas of the building (2), to send evacuation signals throughout the building. 19.- Advanced method for detecting and extinguishing fires on facades with comprehensive and automated management through artificial intelligence and real-time evacuation application, for operating the system described in any of claims 1 to 18, characterized by comprising steps of: -A) receiving a plurality of data from one or more detection means, wherein at least one is a temperature sensor (3); - B) process said data through a central processing unit (4), with an artificial intelligence engine equipped with an algorithm to determine the presence of a fire; - C) activate one or more fire suppression actuators, installed on the facade of a building (2), in response to said determination; and - D) generate a dynamic, real-time building evacuation plan (2) through the mobile application.

20. The method of claim 19, characterized in that step A), of data reception, comprises: the use of a plurality of sensors (3) as detection means, said sensors being selected from thermal, infrared, optical and / or gas sensors, and arranged on the facade of the building; and the transmission of data by the sensors (3) to the central processing unit (4) configured to receive said data from the sensors through a standardized communication protocol, such as BIM, IoT, or others.

21. The method of claim 20, characterized in that step B), of data processing, comprises the use of an artificial intelligence engine trained to analyze the received data, identify characteristic patterns of fire initiation and propagation on facades and generate an activation signal for the extinguishing actuators.

22. The method of claim 21, characterized in that step C), of actuator activation, comprises: the operation of one or more of the extinguishing actuators, being selected from the fire extinguishing sprinkler system (10) with rolling nozzles (10.1), as well as high-performance water turbines or lances (10.2), master jets or combinations thereof, arranged on the facade of the building (2).

23. The method of claim 22, characterized in that step D), of generating the evacuation plan in the mobile application, further comprises the implementation of other means of alert and notification other than said generation of the evacuation plan of the mobile application.

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