A wireless fire alarm based on artificial intelligence

Abstract

This utility model belongs to the technical field of fire alarms, specifically relating to an artificial intelligence-based wireless fire alarm. It includes a base, a top shell, and an anti-slip shock-absorbing pad connected sequentially from bottom to top. The base is equipped with an artificial intelligence alarm component. The top shell has a groove, and the anti-slip shock-absorbing pad has protrusions that correspond to the groove. A permanent magnet is installed inside each protrusion, and the permanent magnet is magnetically connected to the top shell. The upper surface of the anti-slip shock-absorbing pad is used for bonding to the surface of the object being installed. The upper surface of the anti-slip shock-absorbing pad has several anti-slip feet with a honeycomb cavity structure, allowing some adhesive to enter the honeycomb cavity structure during bonding. The upper surface of the anti-slip feet also has anti-slip textures. Compared to the traditional method of directly adhesive-bonding the alarm to the surface of the object using a top shell, this utility model offers better stability and reliability after installation, allows for quick assembly and disassembly, is convenient and flexible to use, and provides a more secure connection.

Description

Technical Field

[0001] This utility model belongs to the technical field of fire alarm, specifically relating to a wireless fire alarm based on artificial intelligence. Background Technology

[0002] Traditional AI fire alarms are mostly fixed to building ceilings or vehicles with screws. This method can damage the installed object, is cumbersome to install, and makes it inconvenient to remove the alarm for later repair or replacement. There are also existing technologies that glue fire alarms directly to the surface of the installed object, such as the existing patent solution with announcement number CN219590918U. However, this adhesive method is prone to slipping on smooth or inclined surfaces, leading to blind spots. The adhesive is also prone to failure in high-temperature environments, resulting in a high risk of the alarm falling off. Furthermore, the lack of shock absorption design means the alarm is also at risk of falling off when subjected to vibration, and drops or vibrations can easily damage internal components. Utility Model Content

[0003] This utility model provides an artificial intelligence-based wireless fire alarm, comprising a base, a top shell, and an anti-slip shock-absorbing pad connected sequentially from bottom to top. The base is equipped with an artificial intelligence alarm component. The upper surface of the top shell has at least one groove. The lower surface of the anti-slip shock-absorbing pad has a protrusion that corresponds to and interlocks with the groove. A permanent magnet is disposed inside the protrusion, and the permanent magnet is magnetically connected to the top shell. The upper surface of the anti-slip shock-absorbing pad is used for adhesion to the plane of the object to be installed, and the upper surface of the anti-slip shock-absorbing pad has several anti-slip feet. The anti-slip foot includes a coaxially arranged central column and a ring wall. Multiple spokes are connected between the central column and the ring wall. The multiple spokes are arranged radially to form a honeycomb cavity structure on the inner side of the ring wall. This allows some adhesive to enter the honeycomb cavity structure during bonding, making the bonding more reliable. The upper surface of the anti-slip foot is provided with anti-slip texture. The bottom of the base is provided with a through hole communicating with its interior. The artificial intelligence alarm component includes a sensor module, a data preprocessing module, an artificial intelligence judgment module, a wireless communication module, an alarm module, and a power supply module.

[0004] In one specific embodiment, the anti-slip and shock-absorbing pad is made of silicone, the static friction coefficient of the anti-slip and shock-absorbing pad is ≥1.2, and the temperature resistance range of the anti-slip and shock-absorbing pad is -40℃ to 200℃.

[0005] In one specific embodiment, the upper surface of the anti-slip and shock-absorbing pad is provided with a plurality of anti-slip grooves, wherein the anti-slip grooves are one or a combination of two of the following: square anti-slip grooves and circular anti-slip grooves.

[0006] In one specific embodiment, the permanent magnet is a neodymium iron boron magnet, and the top shell is made of iron.

[0007] In one specific embodiment, the thickness at the connection between the spoke and the central column is 3 mm, and the thickness at the connection between the spoke and the ring wall is 1 mm.

[0008] In one specific embodiment, the anti-slip texture is a diamond-shaped grid anti-slip texture.

[0009] In one specific embodiment, the sensor module is disposed inside the base for collecting environmental data; the data preprocessing module is disposed on the top of the base for preprocessing the collected environmental data, and the data preprocessing module is signal-connected to the sensor module; the artificial intelligence judgment module is disposed on the top of the base for determining whether a fire has occurred based on the preprocessed data, and the artificial intelligence judgment module is signal-connected to the data preprocessing module; the wireless communication module is disposed inside the base for sending the alarm signal issued by the artificial intelligence judgment module to an alarm terminal, and the wireless communication module is signal-connected to the artificial intelligence judgment module; the alarm module is disposed at the bottom of the base, and the alarm module is signal-connected to the artificial intelligence judgment module for issuing an audible and visual alarm based on the alarm signal issued by the artificial intelligence judgment module; the power supply module is disposed on the top of the base for providing power to each module of the artificial intelligence alarm component.

[0010] In one specific implementation, the sensor module includes a smoke sensor and a temperature sensor.

[0011] In one specific implementation, the data preprocessing module uses an ADSP-SC58x DSP chip based on a dual-core architecture ARM Cortex-A5 + DSP, which includes a data filtering submodule and a data fusion submodule; the artificial intelligence judgment module uses a high-performance embedded AI chip NVIDIA Jetson Nano to run a TransCNN deep learning model that deeply integrates convolutional neural networks (CNN) and Transformers; the wireless communication module uses a multi-protocol wireless communication chip that supports Wi-Fi, ZigBee, and Bluetooth communication protocols; and the alarm module uses a high-volume buzzer and LED indicator lights.

[0012] In one specific implementation, the power module includes a rechargeable lithium battery equipped with an existing power management chip that supports low-power modes.

[0013] This utility model has at least the following beneficial effects: By designing an anti-slip and shock-absorbing pad, several anti-slip feet with honeycomb cavity structures are set on the upper surface of the anti-slip and shock-absorbing pad, and anti-slip textures are set on the surface of the anti-slip feet. Compared with the traditional method of directly gluing the top shell of the alarm to the surface of the object to be installed, the stability and reliability after installation are better. By using a magnetic snap-fit ​​connection structure between the anti-slip and shock-absorbing pad and the top shell, on the one hand, quick disassembly and assembly can be achieved, making it convenient and flexible to use, and on the other hand, the connection structure is more reliable. Attached Figure Description

[0014] Figure 1 This is a simplified structural diagram of an embodiment of the present utility model.

[0015] Figure 2 This is a top view of the anti-slip foot in an embodiment of this utility model.

[0016] Reference numerals: 1. Base; 2. Top shell; 3. Anti-slip and shock-absorbing pad; 4. Sensor module; 5. Data preprocessing module; 6. Artificial intelligence judgment module; 7. Wireless communication module; 8. Alarm module; 9. Power supply module; 10. Anti-slip foot; 11. Central column; 12. Ring wall; 13. Spoke plate; 14. Anti-slip groove. Detailed Implementation

[0017] Please see Figures 1-2 The wireless fire alarm based on artificial intelligence provided by this utility model includes a base 1, a top shell 2 and an anti-slip and shock-absorbing pad 3 connected together in sequence.

[0018] The base 1 is equipped with an artificial intelligence alarm component. The bottom of the base 1 has a through hole that communicates with its interior. The artificial intelligence alarm component includes: a sensor module 4, a data preprocessing module 5, an artificial intelligence judgment module 6, a wireless communication module 7, an alarm module 8, and a power supply module 9.

[0019] Sensor module 4 is located inside base 1 and is used to collect environmental data. Sensor module 4 includes a smoke sensor and a temperature sensor. The smoke sensor uses an MQ-2 ionization smoke sensor, which utilizes radioactive elements to ionize the air. When smoke particles enter the sensor, they change the ionization current. The ionization smoke sensor determines the smoke concentration by detecting the change in current. The temperature sensor uses a Texas Instruments TMP007 infrared temperature sensor, which measures temperature changes by detecting the infrared radiation emitted by objects. This chip integrates a thermopile sensor and signal processing circuitry, and has a temperature measurement range of -40°C to 125°C. It has high accuracy and low power consumption, making it very suitable for non-contact temperature measurement.

[0020] The data preprocessing module 5 is located at the top of the base 1 and is connected to the sensor module 4. The data preprocessing module 5 uses an ADSP-SC58x DSP chip based on a dual-core architecture ARM Cortex-A5 + DSP. It includes a data filtering submodule and a data fusion submodule, used to filter, normalize, and fuse the collected environmental data. This chip is suitable for running complex filtering and data fusion algorithms and for real-time data processing. It should be noted that filtering, normalizing, and fusing the collected environmental data are existing methods and will not be elaborated upon here. The artificial intelligence judgment module 6 is located at the top of the base 1 and is connected to the data preprocessing module 5. It uses a high-performance embedded AI chip, NVIDIA Jetson Nano, to run a TransCNN deep learning model that deeply integrates convolutional neural networks (CNN) and Transformers. This model is used to analyze the preprocessed sensor data and determine whether a fire has occurred. The judgment principle of this module is existing technology. It uses CNN to extract local features from the sensor data and then inputs these features into a Transformer for global modeling. In other words, CNN acts as a feature extractor, and Transformer acts as an encoder-decoder structure for fire detection and target localization.

[0021] The wireless communication module 7 is located inside the base 1 and is connected to the artificial intelligence judgment module 6. The wireless communication module 7 uses a multi-protocol wireless communication chip and supports Wi-Fi, ZigBee and Bluetooth communication protocols. It is used to send the alarm signal issued by the artificial intelligence judgment module 6 to the alarm terminal. The alarm terminal is a user terminal or a fire control center. The user terminal includes the user's mobile phone or computer.

[0022] The alarm module 8 is located at the bottom of the base 1 and is connected to the artificial intelligence judgment module 6. The alarm module 8 uses a high-pitched buzzer and an LED indicator to issue an audible and visual alarm based on the alarm signal issued by the artificial intelligence judgment module 6.

[0023] The power module 9 is located on the top of the base 1 and is electrically connected to each module. The power module 9 includes a rechargeable lithium battery, is equipped with an existing power management chip that supports low power mode, and supports switching with an external power source to provide power to each module.

[0024] The upper surface of the top shell 2 has at least one groove, and the lower surface of the anti-slip and shock-absorbing pad 3 has a protrusion that corresponds to the groove and inserts into it. A permanent magnet (neodymium iron boron magnet) is installed inside the protrusion. The top shell 2 is made of iron, and the permanent magnet is magnetically connected to the top shell 2. The anti-slip and shock-absorbing pad 3 is made of silicone, which provides both shock absorption and excellent anti-slip properties. The static friction coefficient of the anti-slip and shock-absorbing pad 3 is ≥1.2, and its temperature resistance range is -40℃ to 200℃.

[0025] The upper surface of the anti-slip damping pad 3 is bonded to the surface of the object being installed. The upper surface of the anti-slip damping pad 3 is provided with several anti-slip feet 10, each including a coaxially arranged central column 11 and an annular wall 12. Multiple spokes 13 are connected between the central column 11 and the annular wall 12, arranged radially to form a honeycomb cavity structure inside the annular wall 12. During bonding, some adhesive enters the honeycomb cavity structure, making the bond between the anti-slip damping pad 3 and the surface of the object being installed more secure. The thickness of the spokes 13 at the connection with the central column 11 is 3mm, and the thickness at the connection with the annular wall 12 is 1mm. This gradual thickness design optimizes the force distribution and further improves stability. The surface of the anti-slip feet 10 is provided with anti-slip textures, specifically a diamond-shaped grid pattern. This anti-slip texture design further enhances the bonding strength between the damping pad and the surface of the object being installed. The upper surface of the anti-slip and shock-absorbing pad 3 is provided with several anti-slip grooves 14. Some of the anti-slip grooves 14 are square, and others are circular, which further improves the reliability of the adhesion between the anti-slip and shock-absorbing pad 3 and the surface of the object being installed. Of course, only one type of anti-slip groove 14 can be provided.

[0026] The above description, in conjunction with specific preferred embodiments, provides a further detailed explanation of the present invention. It should not be construed that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, various simple deductions and substitutions can be made without departing from the concept of the present invention, and all such modifications and substitutions should be considered within the protection scope of the present invention.

Claims

1. A wireless fire alarm based on artificial intelligence, characterized in that, The device includes a base (1), a top shell (2), and an anti-slip shock-absorbing pad (3) connected together from bottom to top. The base (1) is equipped with an artificial intelligence alarm component. The upper surface of the top shell (2) is provided with at least one groove. The lower surface of the anti-slip shock-absorbing pad (3) is provided with a protrusion that corresponds to the groove and is inserted into it. The protrusion is provided with a permanent magnet, which is magnetically connected to the top shell (2). The upper surface of the anti-slip shock-absorbing pad (3) is used to bond with the plane of the object being installed. The upper surface of the anti-slip shock-absorbing pad (3) is provided with several anti-slip feet (10). Each anti-slip foot (10) includes a coaxially arranged central column (11). The central column (11) and the ring wall (12) are connected by multiple spokes (13), which are arranged radially to form a honeycomb cavity structure inside the ring wall (12) to allow some adhesive to enter the honeycomb cavity structure during bonding, making the bonding more reliable. The upper surface of the anti-slip foot (10) is provided with anti-slip texture. The bottom of the base (1) is provided with a through hole communicating with its interior. The artificial intelligence alarm component includes a sensor module (4), a data preprocessing module (5), an artificial intelligence judgment module (6), a wireless communication module (7), an alarm module (8), and a power module (9).

2. The wireless fire alarm based on artificial intelligence according to claim 1, characterized in that, The anti-slip and shock-absorbing pad (3) is made of silicone. The static friction coefficient of the anti-slip and shock-absorbing pad (3) is ≥1.

2. The temperature resistance range of the anti-slip and shock-absorbing pad (3) is -40℃ to 200℃.

3. The wireless fire alarm based on artificial intelligence according to claim 2, characterized in that, The upper surface of the anti-slip and shock-absorbing pad (3) is provided with a number of anti-slip grooves (14), and the anti-slip grooves (14) are one or a combination of square anti-slip grooves (14) and circular anti-slip grooves (14).

4. The wireless fire alarm based on artificial intelligence according to claim 1, characterized in that, The permanent magnet is a neodymium iron boron magnet, and the top shell (2) is made of iron.

5. The artificial intelligence-based wireless fire alarm according to claim 1, characterized in that, The thickness of the connection between the spoke (13) and the central column (11) is 3 mm, and the thickness of the connection between the spoke (13) and the ring wall (12) is 1 mm.

6. The wireless fire alarm based on artificial intelligence according to claim 1, characterized in that, The anti-slip texture is a diamond-shaped grid anti-slip texture.

7. The wireless fire alarm based on artificial intelligence according to any one of claims 1-6, characterized in that, The sensor module (4) is located inside the base (1) and is used to collect environmental data. The data preprocessing module (5) is located on the top of the base (1) and is used to preprocess the collected environmental data. The data preprocessing module (5) is connected to the sensor module (4) by signal. The artificial intelligence judgment module (6) is located on the top of the base (1) and is used to judge whether a fire has occurred based on the preprocessed data. The artificial intelligence judgment module (6) is connected to the data preprocessing module (5) by signal. The wireless communication module (7) is located inside the base (1) and is used to send the alarm signal issued by the artificial intelligence judgment module (6) to the alarm terminal. The wireless communication module (7) is connected to the artificial intelligence judgment module (6) by signal. The alarm module (8) is located at the bottom of the base (1) and is connected to the artificial intelligence judgment module (6) by signal. It is used to issue an audible and visual alarm based on the alarm signal issued by the artificial intelligence judgment module (6). The power supply module (9) is located on the top of the base (1) and is used to provide power to each module of the artificial intelligence alarm component.

8. The artificial intelligence-based wireless fire alarm according to claim 7, characterized in that, The sensor module (4) includes a smoke sensor and a temperature sensor.

9. The wireless fire alarm based on artificial intelligence according to claim 7, characterized in that, The power module (9) includes a rechargeable lithium battery equipped with an existing power management chip that supports low-power modes.

Images