AI-Powered Active Sabotage, Climbing, and Flammable / Explosive Material Prevention System

TR202612512A2Pending Publication Date: 2026-08-21TURK TELEKOMUNIKASYON A S
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Patent Information

Application Number
TR202612512
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2026-07-27
Publication Date
2026-08-21

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Abstract

The invention relates to a system for detecting, classifying, and automatically neutralizing sabotage, forced entry, wall-over-wall jumping, throwing of flammable / explosive materials, and physical assault attempts that may occur in the perimeter walls, entrance doors, perimeter security lines, and critical external boundary areas of data centers. The system includes a multi-layered firewall (1), an anti-climbing rotating top barrier (2), an intelligent top mesh / protective cover (3), a vibration-impact-fiber optic sensor network (4), an artificial intelligence imaging and threat analysis system (5), an intelligent door locking and sabotage protection system (6), a suppression module (7), and a central alarm and control unit (8). Thanks to this invention, attempts at climbing, cutting, breaking, drilling, impact, and throwing objects are detected at the initial stage, the type of threat is determined, the doors are automatically locked, and foam, inert gas, or mist is applied to the landing zone of the flammable / explosive risky object.
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Description

1 TARIFF AI-Powered Active Sabotage, Climbing, and Flammable / Explosive Device Prevention The system TECHNICAL FIELD The invention relates to perimeter walls, entrance gates, perimeter security lines, and critical external structures of data centers. sabotage, forced entry, jumping over the wall, and other acts of violence that may occur in border regions Detection, classification, and 10 of the throwing of flammable / explosive materials and attempts at physical assault. in the field of intelligent physical security systems for automatic disposal used especially in perimeter walls, entrance gates, overhead barrier systems, detection sensors and AI-powered active intervention modules that enable integrated operation. It relates to sabotage, climbing, and flammable / explosive material prevention systems. PREVIOUS TECHNIQUE Today, the walls and doors used for perimeter security of data centers are mostly... It only serves as a physical barrier and provides passive perimeter security. The current Attempts to climb onto walls, hold onto walls, jump and overcome walls in buildings were common in the early 20th century. Detection at this stage is insufficient; flammable or explosive materials are being brought in from outside. There is no specific protection system against being thrown. In current applications, the camera, Alarms, doors, and similar security components operate separately and provide information about the threat. It cannot make integrated decisions. Even if a threat is detected, many systems automatically close the doors. locking down, isolating the risky area or 25 that are flammable / explosive or pose a fire risk automatic active physical interventions such as applying foam, inert gas or mist to the area They are unable to perform these tasks. Due to these deficiencies, they cannot climb, jump, or move over walls. Wall breach by clinging; fire, explosion or other hazards due to objects thrown from outside. Sabotage occurs; the doors are disabled by cutting, breaking, impact, or explosive force. Technical problems arose such as the alarm being delayed after the attack had started and the attack being abandoned. 30 These problems arise within the information technology services of the data center. Interruption increases the risk of fire and physical damage. Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. 35 A BRIEF DESCRIPTION OF THE INVENTION 2 The present invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. AI-powered active sabotage, climbing, and flammable / explosive methods to provide advantages. It is related to the substance prevention system. The main purpose of the invention is to create perimeter walls, entrance gates, perimeter security lines, and perimeter fences for data centers. Climbing, cutting, breaking, drilling, impact, and objects that may occur in critical outer boundary areas. The goal is to ensure that attacks and similar threat attempts are detected at the very beginning. Another purpose of the invention is to create perimeter walls, gates, top barriers, detection and suppression systems. The goal is to provide a multi-layered protection structure that works together. Another purpose of the invention is to provide an anti-climb rotating top barrier located at the top of the wall. The goal is to make climbing, holding on to, and jumping over walls physically challenging. Another purpose of the invention is to detect flammable or explosive objects thrown inside, analyzing their trajectories and protecting the area where these objects are expected to fall. to provide. Another purpose of the invention is to convert data from cameras, radars, lidars or similar sensors into 20 By processing it with the help of artificial intelligence, the distinction between normal movement and a real attack is made clear. The goal is to enable separation and identification of the type of threat. Another purpose of the invention is to enable entry doors to be secured at multiple points in the event of forced entry or sabotage. The goal is to ensure that it locks automatically and isolates the risky area. 25 Another purpose of the invention is to apply foam, inert gas to the fall zone of a flammable / explosive hazardous object. or by applying visibility-blocking fog to reduce the effects of fire or explosion. Another purpose of the invention is to prevent physical attacks from disrupting data center operations. The aim is to contribute to service continuity by reducing the risk. All the purposes mentioned above and those that will emerge from the detailed explanation below. The present invention is designed to implement perimeter walls, entrance gates, and perimeters of data centers. Sabotage, forced entry, and wall breaches that may occur in security lines and critical external border areas. 35 jumping over, throwing flammable / explosive materials inside, and attempts at physical assault 3 artificial intelligence developed for the detection, classification and automatic disposal of waste. It is an intelligent-assisted active sabotage, climbing, and flammable / explosive material prevention system, the feature of which is;  Multiple features providing physical strength, shock absorption and sensor integration layered firewall,  Anti-climb rotating top that makes climbing and jumping over the wall more difficult 5 barrier,  Intelligent upper network / guard that catches or limits the fall of objects thrown inside. cover,  Vibration-impact-fiber optic system that detects cutting, drilling, impact, and climbing movements. sensor network, 10  AI imaging that analyzes motion, behavior, and object trajectory. threat analysis system,  Smart door locking and sabotage systems that lock doors at multiple points in case of forced entry. protection system,  Foam, inert gas or mist applied to flammable / explosive or fire-risk areas 15 implementing suppression module and  a central unit that coordinates the entire system and implements alarm and response decisions. alarm and control unit It includes. The best way to utilize the advantages of the existing invention, together with its structure and additional elements. For it to be understood, it must be considered together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1 shows the AI-assisted active sabotage, climbing, and flammable / explosive capabilities that are the subject of the invention. This is a representative illustration of a substance prevention system. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent, 30 Elements that are identical or at least have substantially identical functions are numbered the same. It is shown. REFERENCE NUMBERS 35 1. Multi-layered firewall 4 2. Anti-climbing rotating top barrier 3. Smart overlay / protective cover 4. Vibration-impact-fiber optic sensor network 5. Artificial intelligence imaging and threat analysis system 6. Smart door locking and tamper protection system 5 7. Suppression module 8. Central alarm and control unit DETAILED DESCRIPTION OF THE INVENTION This detailed description explains the AI-powered active sabotage, climbing, and The flammable / explosive material prevention system is not merely for better understanding of the subject; it does nothing else. This is explained with examples that will not create a limiting effect. The multilayer firewall (1) included in the invention has 15 impact and cut resistance on the outer surface. Durable construction, energy-absorbing composite layer in the middle layer, and sensor in the inner layer. Designed to include integration, it offers high resistance to physical sabotage. It provides. The anti-climbing rotating top barrier (2) is placed on the top of the wall. a cylindrical or similar movable barrier structure that prevents the attacker from holding on and climbing over the wall It prevents physical bypass by making it difficult to bypass. Smart overlay / protective cover (3), threat 20 It is an upper network structure that provides instant or continuous protection against flammable or explosive materials thrown inside. Preventing explosive objects from falling into critical areas or mitigating the impact of such objects. It limits. Vibration-impact-fiber optic sensor network (4), located on wall and door surfaces Detects impact, cutting, drilling, boring, climbing and blast vibrations via sensors. by creating an early warning. Artificial intelligence imaging and threat analysis system (5), 25 By processing data from cameras, radar, lidar, or similar sensors, the attack behavior can be determined. It analyzes the projectile's trajectory and trajectory; distinguishing between a real threat and a false alarm. It separates. Smart door locking and tamper protection system (6), multi-point on doors By providing mechanical and electromechanical locking, it instantly secures entrances in the event of an attack. It engages the mode; it automatically locks in case of cutting or force. 30 Suppression module (7), determination of the landing zone of the flammable / explosive object thrown inside. In case of fire or explosion, foam, inert gas or visibility-blocking mist is applied to the affected area. It reduces its effect. The central alarm and control unit (8) receives data from all subsystems. By combining these, they determine the threat level, including door locking, barrier activation, and suppression. and centrally manages alarm scenarios. 35 The invention addresses data center perimeter security holistically, including perimeter walls, access gates, and upper floors. barrier systems, detection sensors and active intervention modules work together in an integrated manner. It encompasses a layered security architecture. The system enables early detection of external threats, threat management... classification of the species and automatic activation of appropriate countermeasures It operates in a way that provides the following functions: 5  Multilayer security wall (1), anti-climbing rotating top barrier (2), vibration- pulse-fiber optic sensor network (4) and artificial intelligence imaging and threat analysis The system (5) detects any attempt to climb, hold on to or cross the wall. It is done.  Cutting, breaking, drilling and 10 via vibration-impact-fiber optic sensor network (4) The explosive effect is determined.  AI imaging and threat analysis with intelligent overlay / protective cover (3) The object thrown inside is detected by means of the system (5).  The thrown object can be detected by means of the artificial intelligence imaging and threat analysis system (5) The area where it will fall is calculated. 15  Entrance doors are automatically locked via the smart door locking and tamper protection system (6) It is locked.  By means of the suppression module (7) in case of risky object fall or fire start Fire extinguishing is applied to the affected area.  The AI ​​imaging and threat analysis system (5) identifies the type of incident and all 20 It records the process. The working principle of the invention is generally multilayer security wall (1), anti-climbing Rotating top barrier (2), smart top mesh / protective cover (3), vibration-impact-fiber optic sensor network (4), artificial intelligence imaging and threat analysis system (5), smart door locking and sabotage 25 The protection system (6), suppression module (7) and central alarm and control unit (8) are integrated. It is based on the study. Cutting, breaking, drilling occurring on the perimeter wall and door surfaces, Impact, climb and blast effects are detected by the vibration-impact-fiber optic sensor network (4). Information on movement, behavior, object throw, and trajectory is being detected by artificial intelligence imaging and The threat analysis system (5) is evaluated by the central alarm and control unit (8), 30 By combining data from subsystems, it determines the threat level and the threat Door locking, barrier activation, suppression, and alarm scenarios depending on the situation. It manages the situation. If the landing area of ​​the flammable / explosive object thrown inside is determined... The suppression module (7) applies foam, inert gas or visibility-blocking mist to the relevant area. Thus, not just a specific point of the data center but its entire surroundings are covered; physical 35 The risk of attacks disrupting data center operations is reduced.

Claims

6 REQUESTS 1. Data center perimeter walls, entrance gates, perimeter security lines, and critical external 5 sabotage, forced entry, and crossing the wall that may occur in border regions climbing, throwing flammable or explosive materials inside, and attempts at physical assault. detection, classification and automated response against them AI-powered active sabotage, climbing, and other methods were developed for this purpose. It is a flammable / explosive material prevention system, and its feature is; 10  Providing physical strength and shock absorption at the perimeter boundary of the data center multilayer firewall (1),  positioned on the top of the multilayer firewall (1) and on the wall climbing that makes it difficult to hold on, climb or overcome a wall Preventive rotating top barrier (2), 15  positioned in relation to the multi-layer firewall (1) and data center catching objects thrown into it or the fall of those objects limiting smart overnet / protection cover (3),  positioned on the multi-layered firewall (1) and entrance doors 20 that detect vibrations caused by cutting, breaking, drilling, impact, climbing and explosion. Vibration-impact-fiber optic sensor network (4),  vibration-impact-fiber optic sensor network (4) and for imaging purposes By processing the data obtained from the sensors, it can analyze the attack behavior and the injected material. data analyzing the object's trajectory and threat classification data related to the type of event. artificial intelligence imaging and threat analysis system (5), 25  positioned at entrance doors and depending on the locking command it receives, the entrance Smart door locking and tamper protection that locks the doors in a multi-point manner. system (6),  an area where a flammable or explosive object thrown inside would land or a fire suppression module (7) and 30 which apply suppression agent to the area of ​​risk identified.  Artificial intelligence with sensing data from vibration-impact-fiber optic sensor network (4) Threat classification and produced by the imaging and threat analysis system (5) It receives object orbit data and determines the threat level based on that data. Intelligent upper network / protection that determines and depends on the determined threat level. cover (3), smart door locking and tamper protection system (6), suppression 35 central alarm and sends intervention command to module (7) and alarm system control unit (8) 7 It includes.

2. The system is compliant with Request 1 and its feature is that it is a multi-layered firewall (1), external a structure resistant to impact and cuts on its surface, and an energy absorber in the middle section. composite layer and vibration-impact-fiber optic sensor network inside (4) 5 It includes a layer that enables its integration.

3. The system compliant with Claim 1 is characterized by artificial intelligence imaging and threat analysis. data obtained from cameras, radars, lidars or similar sensors of the system (5) It distinguishes between normal movements and offensive behavior and includes 10 It is a module that determines the area where a thrown object will land.