Fire-fighting early warning system based on Internet

Abstract

The invention provides a fire-fighting early warning system based on the Internet, and relates to the technical field of fire-fighting early warning systems. The fire-fighting early warning system based on the Internet comprises a building area division module, a sensing module, a local data preprocessing module and an emergency linkage executor, the building area division module is used for dividing the internal space of a building into a plurality of sub-areas, and provides support for later hidden danger positioning; the sensing module comprises a temperature sensor, a smoke sensor and a high-definition camera. According to the fire-fighting early warning system based on the Internet, through cooperative work of the temperature sensor, the smoke sensor and the high-definition camera, a three-level fire judgment mechanism is constructed, and when the temperature suddenly rises (larger than or equal to 5 DEG C / min), an alarm is directly triggered; for a slow temperature rise scene (less than or equal to 5 DEG C / min), smoke concentration high-frequency detection and video analysis are linked for composite verification, and interference such as real fire behavior and cooking steam is effectively distinguished.

Description

Technical Field

[0001] This invention relates to the field of fire early warning system technology, specifically to an Internet-based fire early warning system. Background Technology

[0002] Timely and accurate detection of fires and rapid response are of great significance for reducing the losses caused by fires. With the development of Internet technology, especially the mature application of technologies such as the Internet of Things (IoT), cloud computing, and big data, new technical paths have been provided for the upgrading of fire early warning systems. Internet-based fire early warning systems can realize multi-device interconnection, real-time data sharing, and intelligent analysis, which greatly improves the accuracy and response speed of fire early warning.

[0003] Existing fire early warning systems suffer from two major flaws: First, in fire risk assessment, over-reliance on single sensors (such as independent smoke or heat detectors) leads to a high false alarm rate. Furthermore, the use of fixed thresholds makes it impossible to dynamically adapt to different environmental changes. Data from various subsystems is isolated, lacking the ability to integrate multi-source information. Second, in emergency response, traditional architectures rely on centralized cloud processing, resulting in response delays of 8-12 seconds. Edge devices only have data pass-through capabilities, causing system paralysis when the network is interrupted. Additionally, the lack of a tiered response mechanism often leads to over-handling. These flaws cause existing systems to experience frequent false alarms and missed alarms in complex scenarios, with an average emergency response time exceeding 3 minutes, far from meeting the real-time requirements of modern smart fire protection. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an internet-based fire early warning system that solves the problem of existing fire early warning systems relying excessively on a single sensor for sensing.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: An internet-based fire early warning system includes a building area division module, a sensing module, a local data preprocessing module, and an emergency linkage actuator; The building area division module is used to divide the interior space of a building into multiple sub-areas, providing support for the later location of potential hazards. The sensing module includes a temperature sensor, a smoke sensor, and a high-definition camera. The temperature sensor is used to detect the temperature in the sub-area at regular intervals, the smoke sensor is used to detect the smoke concentration in the sub-area at regular intervals, and the high-definition camera is used to monitor the space in the sub-area in real time. The local data preprocessing module includes a data filtering unit and a building model unit. The data filtering unit receives detection data from temperature sensors and smoke sensors in real time. When the temperature sensor in a certain sub-area detects a temperature rise rate ≥5℃ / min, it confirms that a fire has occurred in this sub-area. When a temperature rise is detected but ≤5℃ / min, the smoke sensor performs high-frequency detection of the current air quality. When the smoke concentration is detected to be continuously rising, it confirms that a fire has occurred in the sub-area. When the smoke sensor detects the current air quality at high frequency but the smoke concentration does not continue to rise, the real-time situation of the current sub-area is viewed in real time through a high-definition camera. The building model unit includes stored building escape information, dynamic threat algorithms, path cost algorithms, escape path selection algorithms, and crowd diversion control algorithms, which are used to calculate and provide the best escape routes for people in different sub-areas. The emergency linkage actuator includes a fire information push module, a high-pressure fire nozzle, and an audible and visual alarm. The fire information push module pushes fire information to the fire department of the relevant area. The high-pressure fire nozzle is used to spray high-pressure water jets for fire extinguishing. The audible and visual alarm sounds an alarm to alert people in the surrounding area. The emergency linkage actuator is connected to an industrial-grade communication gateway and a display module. The local data preprocessing module is connected to a data loop storage module, a control module, and an industrial-grade communication gateway.

[0006] Preferably, both the data loop storage module and the emergency linkage actuator are connected to a display module. The display module includes a control terminal display screen and a public advertising screen, which are used to transmit fire information to staff for viewing and to transmit the best escape route to the public advertising screen for tourists to view in the event of a fire.

[0007] Preferably, the data cyclic storage module is used to cyclically store the sensing module information processed by the local data preprocessing module, and the industrial-grade communication gateway is used to remotely transmit the collected information.

[0008] Preferably, the dynamic threat algorithm in the building model unit is as follows:

[0009] in, T: Threat value of position (x, y, z) at time t (normalized to 0.-1); : Normalized value of the rate of temperature change; Smoke concentration (mg / m³) 3 ); : European distance to the nearest fire source; K(t) is the time-varying diffusion coefficient.

[0010] Preferably, the path cost algorithm in the building model unit is as follows:

[0011] Weights are dynamically adjusted: (Path length); (Crowd density); (Export width); (Risk factor).

[0012] Preferably, the escape path selection algorithm in the building model unit is as follows:

[0013] Constraints: ; (Increases over time).

[0014] Preferably, the group diversion control algorithm in the building model unit is as follows:

[0015] Shunting adjustment factor:

[0016] Number of people currently waiting to exit; Number of people already diverted.

[0017] (III) Beneficial Effects This invention provides an internet-based fire early warning system. It has the following beneficial effects: 1. This invention provides an internet-based fire early warning system. Through the collaborative operation of temperature sensors, smoke sensors, and high-definition cameras, a three-level fire detection mechanism is constructed. When the temperature rises sharply (≥5℃ / min), an alarm is directly triggered. For scenarios with slow temperature rise (≤5℃ / min), high-frequency smoke concentration detection and video analysis are used for composite verification, effectively distinguishing between real fires and interference such as cooking steam. The system incorporates a building model unit, integrating a dynamic threat algorithm (T=(αΔT+βS)·e^(d / k)) and a path cost algorithm (C=w1L+w2D+w3 / W+w4T). By calculating the threat value T and path cost C in real time, the weight of escape routes is dynamically adjusted, solving the problem of poor adaptability caused by fixed thresholds in traditional systems. This mechanism achieves environmentally adaptive fire risk assessment for the first time, effectively improving the accuracy of early warnings.

[0018] 2. This invention provides an internet-based fire early warning system. Breaking through the limitations of centralized processing in traditional fire protection systems, this invention constructs a two-layer architecture of "rapid edge response + global cloud optimization." A lightweight decision-making module is deployed at the edge, using a pre-set escape path selection algorithm (f(n)=g(n)+h(n)) and a group diversion control algorithm (diversion ratio=1 / (1+e^-(N-5))). This allows for rapid initial fire assessment and emergency activation, significantly improving response speed compared to traditional systems. After receiving edge data synchronously in the cloud, secondary verification is performed using a BIM model, dynamically optimizing resource scheduling strategies (e.g., automatically adjusting the diversion ratio based on the number of people waiting at exits N). Furthermore, multi-channel information push is achieved through an industrial-grade communication gateway, enabling control terminals and public displays to push information, thus solving the secondary disaster problems caused by the "one-size-fits-all" response of traditional systems and effectively improving evacuation efficiency. Attached Figure Description

[0019] Figure 1 This is a structural architecture diagram of the system of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] The present invention provides embodiments thereof; An internet-based fire early warning system includes a building area division module, a sensing module, a local data preprocessing module, and an emergency linkage actuator; The building area division module is used to divide the interior space of a building into multiple sub-areas, providing support for the later location of potential hazards. The sensing module includes a temperature sensor, a smoke sensor, and a high-definition camera. The temperature sensor is used to detect the temperature in the sub-area at regular intervals, the smoke sensor is used to detect the smoke concentration in the sub-area at regular intervals, and the high-definition camera is used to monitor the space in the sub-area in real time. The local data preprocessing module includes a data filtering unit and a building model unit. The data filtering unit receives detection data from temperature sensors and smoke sensors in real time. When the temperature sensor in a certain sub-area detects a temperature rise rate ≥5℃ / min, it confirms that a fire has occurred in this sub-area. When the temperature rise is detected but ≤5℃ / min, the smoke sensor performs high-frequency detection of the current air quality. When the smoke concentration is detected to be continuously rising, it confirms that a fire has occurred in the sub-area. When the smoke sensor detects the current air quality at high frequency but the smoke concentration does not continue to rise, the real-time situation of the current sub-area is viewed through a high-definition camera. The building model unit includes stored building escape information, dynamic threat algorithms, path cost algorithms, escape path selection algorithms, and crowd diversion control algorithms, which are used to calculate and provide the best escape routes for people in different sub-areas. The emergency linkage actuator includes a fire information push module, a high-pressure fire sprinkler head, and an audible and visual alarm. The fire information push module pushes fire information to the fire department in the area. The high-pressure fire sprinkler head is used to spray high-pressure water jets for fire extinguishing. The audible and visual alarm sounds an alarm to alert people in the surrounding area. The emergency linkage actuator is connected to an industrial-grade communication gateway and a display module. The local data preprocessing module is connected to a data loop storage module, a control module, and an industrial-grade communication gateway.

[0022] Both the data loop storage module and the emergency linkage actuator are connected to a display module, which includes a control terminal display screen and a public advertising screen. In the event of a fire, the display module transmits fire information to staff for viewing and transmits the best escape route to the public advertising screen for tourists to view. The data loop storage module is used to loop and store the sensing module information processed by the local data preprocessing module. The industrial-grade communication gateway is used to remotely transmit the collected information.

[0023] The dynamic threat algorithm in the building model unit is specifically as follows:

[0024] Where T: Threat value of position (x, y, z) at time t (normalized to 0.-1); : Normalized value of the rate of temperature change; Smoke concentration (mg / m³) 3 ); : European distance to the nearest fire source; K(t) is the time-varying diffusion coefficient.

[0025] The path cost algorithm in the building model unit is as follows:

[0026] Weights are dynamically adjusted: (Path length); (Crowd density); (Export width); (Risk factor).

[0027] The escape path selection algorithm in the building model unit is as follows:

[0028] Constraints: ; (Increases over time).

[0029] The specific group flow control algorithm in the building model unit is as follows:

[0030] Shunting adjustment factor:

[0031] Number of people currently waiting to exit; Number of people already diverted.

[0032] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An internet-based fire early warning system, characterized in that, It includes a building area division module, a sensing module, a local data preprocessing module, and an emergency linkage actuator; The building area division module is used to divide the interior space of a building into multiple sub-areas, providing support for the later location of potential hazards. The sensing module includes a temperature sensor, a smoke sensor, and a high-definition camera. The temperature sensor is used to detect the temperature in the sub-area at regular intervals, the smoke sensor is used to detect the smoke concentration in the sub-area at regular intervals, and the high-definition camera is used to monitor the space in the sub-area in real time. The local data preprocessing module includes a data filtering unit and a building model unit. The data filtering unit receives detection data from temperature sensors and smoke sensors in real time. When the temperature sensor in a certain sub-area detects a temperature rise rate ≥5℃ / min, it confirms that a fire has occurred in this sub-area. When a temperature rise is detected but ≤5℃ / min, the smoke sensor performs high-frequency detection of the current air quality. When the smoke concentration is detected to be continuously rising, it confirms that a fire has occurred in the sub-area. When the smoke sensor detects the current air quality at high frequency but the smoke concentration does not continue to rise, the real-time situation of the current sub-area is viewed in real time through a high-definition camera. The building model unit includes stored building escape information, dynamic threat algorithms, path cost algorithms, escape path selection algorithms, and crowd diversion control algorithms, which are used to calculate and provide the best escape routes for people in different sub-areas. The emergency linkage actuator includes a fire information push module, a high-pressure fire nozzle, and an audible and visual alarm. The fire information push module pushes fire information to the fire department of the relevant area. The high-pressure fire nozzle is used to spray high-pressure water jets for fire extinguishing. The audible and visual alarm sounds an alarm to alert people in the surrounding area. The emergency linkage actuator is connected to an industrial-grade communication gateway and a display module. The local data preprocessing module is connected to a data loop storage module, a control module, and an industrial-grade communication gateway.

2. The Internet-based fire early warning system according to claim 1, characterized in that: Both the data loop storage module and the emergency linkage actuator are connected to a display module, which includes a control terminal display screen and a public advertising screen. In the event of a fire, the display module transmits fire information to staff for viewing and transmits the best escape route to the public advertising screen for tourists to view.

3. The Internet-based fire early warning system according to claim 1, characterized in that: The data loop storage module is used to loop and store the sensing module information processed by the local data preprocessing module, and the industrial-grade communication gateway is used to remotely transmit the collected information.

4. The Internet-based fire early warning system according to claim 1, characterized in that: The dynamic threat algorithm in the building model unit is specifically as follows: ； in, T: Threat value of position (x, y, z) at time t (normalized to 0.-1); : Normalized value of the rate of change of temperature; Smoke concentration (mg / m³) 3 ); : European distance to the nearest fire source; K(t) is the time-varying diffusion coefficient.

5. A fire early warning system based on the Internet according to claim 1, characterized in that: The path cost algorithm in the building model unit is as follows: ； Weights are dynamically adjusted: (Path length); (Crowd density); (Export width); (Risk factor).

6. A fire early warning system based on the Internet according to claim 1, characterized in that: The escape path selection algorithm in the building model unit is as follows: ； Constraints: ; (Increases over time).

7. A fire early warning system based on the Internet according to claim 1, characterized in that: The specific group flow control algorithm in the building model unit is as follows: ； Shunting adjustment factor: ； Number of people currently waiting to exit; Number of people already diverted.

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