Intelligent lamp integrating fire detection

Abstract

The intelligent lamp comprises a base, a detection cavity and an illumination cavity, and a gap is formed between the detection cavity and the illumination cavity to form a flow guide channel; a control module, a lighting circuit, a wireless communication module and a sensing circuit are arranged in the base; the control module is respectively connected with the lighting circuit, the wireless communication module and the sensing circuit; six groups of multispectral sensors are annularly distributed at the top of the detection cavity, and a semi-transmission ceramic substrate is arranged at the central axis of the detection cavity; the six groups of multispectral sensors are connected with the control module through the sensing circuit; the control module, the lighting circuit and the multispectral sensor are respectively connected with an external power supply; a COB light source module, an annular radiator and an optical diffusion cover are arranged in the lighting cavity. And the COB light source module is connected with the lighting circuit. According to the lamp, the fire detection function and the lighting function are integrated, the equipment installation and maintenance process is simplified, and the cost is reduced. The compact structural design enables the lamp to be more practical and suitable for various occasions.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home and lighting technology, and more specifically, to an intelligent lamp integrated with fire detection. Background Art

[0002] Currently, with the popularization of smart home systems, smart lighting products are constantly innovating, and functions such as remote control, dimming and color adjustment, and scene linkage have been realized. However, currently, most of the devices for fire alarm on the market are independently installed smoke alarms, temperature alarms, etc., with diverse installation positions and each being independent. The traditional alarm device is separated from the lighting device, which not only increases the installation cost but also has layout blind spots, and is not conducive to the timely detection of abnormal signals of smoke and temperature in the initial stage of a fire.

[0003] How to organically integrate fire detection and alarm functions on the premise of ensuring a high-quality usage experience of smart lighting has become an urgent problem for those skilled in the art to solve. Summary of the Invention

[0004] In view of this, the present invention provides an intelligent lamp integrated with fire detection, which has a compact structure, beautiful appearance, and integrated fire detection function. Without affecting the smart lighting effect, the lamp can quickly perceive the initial characteristics of a fire by reasonably arranging temperature and other fire-related sensors, and promptly give a warning through the built-in alarm. At the same time, it supports linkage with the smart home system, providing a safer and more comfortable living environment for users.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] An embodiment of the present invention provides an intelligent lamp integrated with fire detection, including: a base, a detection cavity and a lighting cavity. The detection cavity is annular and is installed on the base; the lighting cavity passes through the ring in the middle of the detection cavity and is installed on the base; and there is a gap between the detection cavity and the lighting cavity to form a diversion channel.

[0007] Among them, the base internally has a control module, a lighting circuit, a wireless communication module and a sensing circuit; the control module is respectively connected to the lighting circuit, the wireless communication module and the sensing circuit.

[0008] Six groups of multispectral sensors are annularly distributed at the top of the detection cavity, and a semi-transmissive ceramic substrate is provided at the central axis; the six groups of multispectral sensors are all connected to the control module through the sensing circuit; the control module, the lighting circuit, and the multispectral sensors are respectively connected to an external power supply.

[0009] The lighting cavity internally has a COB light source module, an annular radiator and an optical diffuser; the COB light source module is connected to the lighting circuit.

[0010] Further, each group of multispectral sensors consists of a blue LED with a central wavelength of 450 nm, a narrowband infrared receiver with a response band of 940 nm ± 10 nm, and a UV photodiode with a response threshold of 280 nm.

[0011] Further, five platinum resistance thin film temperature sensors are also provided in the detection cavity and are all connected to the control module. The distance between each layer is 3 mm, the film thickness is 0.1 mm, and the resistance change rate is 0.385 Ω / °C.

[0012] Further, the semi-transmissive ceramic substrate is an alumina-silicon nitride composite material with a porosity of 15-20%, a pore size distribution of 50-200 μm, and a surface roughness Ra ≤ 1.6 μm.

[0013] Further, an insect-proof net is provided on the outer periphery of the detection cavity. It is made of 304 stainless steel with a mesh diameter of 0.8 mm, a porosity of 40%, and the mesh surface is 2 mm away from the sensor array.

[0014] Further, the outer shell of the lighting cavity is made of a high-temperature flame-retardant material and its outer surface is specially sandblasted; in the middle area of the front of the shell, diversion grooves for smoke and heat flow are reserved.

[0015] Further, the overall shape of the diversion groove is spiral, and its inner wall is designed with a concave-convex structure; and it is closely connected to the detection cavity through physical notches.

[0016] Further, double spiral diversion ribs are provided on the inner wall of the diversion groove. The height of the ribs is 1.5 mm, the pitch is 8 mm, and the spiral angle is 45°.

[0017] Further, metal sheets are provided on the peripheries of the lighting circuit, the wireless communication module, and the sensing circuit to form a wire shielding plate.

[0018] Further, a thermal conductive silica gel pad is filled between the COB light source module and the radiator.

[0019] Further, a buzzer connected to the control module is also provided in the base.

[0020] Further, an emergency lighting lamp connected to the control module is also provided in the lighting cavity.

[0021] Further, the lighting circuit includes: an LED lamp drive circuit, a brightness adjustment circuit, and a relay; the control module, the LED lamp drive circuit, the brightness adjustment circuit, and the relay are sequentially connected in series; the brightness adjustment circuit is connected to the power supply; and the relay is connected to the COB light source module.

[0022] Further, the sensing circuit includes: an A / D conversion circuit connected to an amplification and filtering circuit; wherein, the input end of the amplification and filtering circuit is connected to the multispectral sensor, and the output end of the A / D conversion circuit is connected to the control module.

[0023] Further, the control module includes: a microcontroller and an LSTM coprocessor; wherein, the microcontroller is connected to the LSTM coprocessor through an SPI interface;

[0024] The microcontroller has a primary determination module and an intermediate determination module; the LSTM coprocessor has a high-level determination module;

[0025] Among them, the primary determination module is used to identify that when the temperature gradient change rate > 3°C / min according to the data collected by the temperature sensor, and issue a primary alarm prompt;

[0026] The intermediate determination module is used to identify that when a specific spectral feature lasts for 5s according to the data collected by the multispectral sensor, and issue an intermediate alarm prompt;

[0027] The high-level determination module is used to identify that when the movement trajectory of aerosol particles conforms to the combustion characteristics based on the time-series feature analysis model of the trained LSTM network according to the data collected by the multispectral sensor, and issue a high-level alarm prompt.

[0028] It can be seen from the above technical solutions that compared with the prior art, the present invention has the following technical advantages:

[0029] 1. High integration:

[0030] Integrate the fire detection function and the lighting function into one, simplify the equipment installation and maintenance process, and reduce the cost. The compact structure design makes the lamp more beautiful and practical, and is suitable for various places.

[0031] 2. Intelligence and automation:

[0032] The application of the control module makes the lamp intelligent, capable of automatically processing sensing data, triggering the alarm mechanism, controlling the lighting mode, etc. In addition, the wireless communication module enables the lamp to be remotely monitored and controlled, improving the timeliness of fire warning and emergency response.

[0033] 3. High sensitivity and accuracy:

[0034] The multispectral sensor has high sensitivity, can accurately identify the fire characteristic spectral signal, and reduce the false alarm and missed alarm rates. In addition, by combining algorithm optimization and data processing, the accuracy of fire detection is further improved.

[0035] 4. Energy saving and environmental protection:

[0036] The COB light source module features high efficiency and energy conservation, reducing energy consumption. The intelligent lighting mode can adjust the light intensity and switch-on time according to actual needs, further achieving energy-saving effects.

[0037] In summary, the intelligent lamp integrating fire detection function has significant technical effects and advantages, providing strong support for fire warning and emergency response, while meeting the daily lighting needs, and has broad application prospects and market value. Brief Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0039] Figure 1 It is a schematic structural diagram of the intelligent lamp integrating fire detection function provided by the present invention.

[0040] Figure 2 It is a structural block diagram of the intelligent lamp integrating fire detection function provided by the present invention. Detailed Embodiments

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0042] The present invention proposes to organically integrate fire detection, alarm functions with intelligent lighting, which not only meets the daily intelligent lighting needs but also takes into account the real-time performance and reliability of fire detection. An embodiment of the present invention discloses an intelligent lamp integrating fire detection. Referring to Figure 1 As shown, it mainly consists of a base 1, a detection cavity 2 and a lighting cavity 3. The base 1 is the support structure of the entire lamp, and core components such as a control module, a lighting circuit, a wireless communication module and a sensing circuit are built in. The detection cavity 2 is annular in shape and is installed on the base 1 for installing fire detection elements such as multi-spectral sensors. The lighting cavity 3 passes through the annular space in the middle of the detection cavity and is installed on the base 1 to be responsible for providing the lighting function. A gap is left between the detection cavity 2 and the lighting cavity 3 to form a diversion channel, which helps the rapid conduction and detection of smoke and heat flow.

[0043] Among them, through 6 groups of annularly distributed multispectral sensors 4, the spectral characteristics in the environment can be monitored in real time, and the characteristic spectral signals such as smoke and flame generated by the fire can be effectively identified. When the fire characteristics are detected, the control module will quickly process the signals transmitted by the sensing circuit and trigger the alarm mechanism, and send fire warning information to the central control room or relevant personnel through the wireless communication module.

[0044] The COB light source module provides efficient and uniform lighting effects to meet the daily lighting needs. During a fire, the control module can also control the lighting circuit to start the emergency lighting mode to provide necessary lighting support for the evacuation of personnel.

[0045] In specific implementation, for example, the base has a diameter of Φ200mm, a thickness of 15mm, and is made of flame-retardant PC + 30% glass fiber, with a temperature resistance grade of UL94 V-0; an internal electrical compartment with dimensions of Φ180×12mm, integrating the following modules:

[0046] The control module includes: a microcontroller and an LSTM co-processor; among them, the microcontroller is: STM32H743VIT6, with a main frequency of 400MHz; the LSTM co-processor is an independent hardware module (such as FPGA, ASIC or a dedicated AI acceleration chip); where the microcontroller is responsible for system control and sensor data processing, and the co-processor is dedicated to running the LSTM network model. The co-processor contains an INT8 quantization unit, and the inference cycle ≤ 15ms. The co-processor returns the inference result (fire probability value) to the microcontroller.

[0047] The lighting circuit includes an LED driver IC: LT3797; the wireless communication module, dual-mode: ESP32-WROVER + LoRaSX1276;

[0048] The sensing circuit includes: an A / D conversion circuit interconnected with an amplifying and filtering circuit.

[0049] The wireless communication module can adopt LoRa (868MHz) + WiFi6 (2.4 / 5GHz).

[0050] The detection cavity is of an annular structure, with an outer diameter of Φ200mm, an inner diameter of Φ120mm, and a height of 50mm. It can be fixed to the base through 6 groups of M4 stainless steel screws; 6 groups of multispectral sensors are evenly distributed in a ring on the top plane, designed with a 60° interval, and a semi-transmissive ceramic substrate 6 with a size of Φ50×3mm and a light transmittance of 60% is set at the central axis. The detection cavity contains a flow guiding grid with a grid spacing of 5mm.

[0051] The lighting cavity is cylindrical, with a diameter of Φ110mm and a height of 80mm: it penetrates the central annular area of the detection cavity, forms a structural coupling with the detection cavity through 4 groups of flow guiding grooves, and is connected to the base through a snap structure at the bottom.

[0052] Flow guide channel, annular gap width 8 mm: formed by the inner wall of the detection cavity and the outer wall of the lighting cavity, and can be internally provided with 6 groups of spiral flow guide ribs.

[0053] In this embodiment, in order to avoid the interference of the heat generation and light emission of the lamp on the fire monitoring of the sensor, the following measures are taken:

[0054] By reasonably designing the structures of the detection cavity and the lighting cavity, ensure that there is a sufficient gap of 30 mm between the two to form an effective flow guide channel. This can not only improve the heat dissipation efficiency, but also prevent the light generated by the lamp from directly irradiating the sensor to a certain extent, reducing light interference. Select light-shielding materials or design light-shielding structures to further block the interference of light on the sensor.

[0055] In addition, an annular radiator is also arranged in the lighting cavity to effectively disperse the heat generated by the lamp, ensure the stability of the working environment temperature of the sensor, and avoid false alarms caused by high temperature. At the same time, the internal heat conduction path of the lamp can also be optimized to improve the heat dissipation efficiency and reduce the risk of the sensor malfunctioning due to overheating.

[0056] The following will be described in detail with reference to Figure 2 as shown, each component will be described in detail:

[0057] 1. Configuration of core components in the base

[0058] Control module: includes: a microcontroller and an LSTM co-processor; as the control center of the intelligent lamp, the control module is responsible for receiving data from the sensing circuit, and processing and analyzing it. At the same time, the control module also controls the switch and brightness adjustment of the lighting circuit, and communicates with the outside world through the wireless communication module.

[0059] Lighting circuit: includes components such as an LED lamp drive circuit, a brightness adjustment circuit, and a relay. The LED lamp drive circuit is responsible for providing a stable current for the COB light source module, and the brightness adjustment circuit adjusts the brightness of the light source according to the instructions of the microcontroller. The relay, as a switching element, controls the on and off of the lighting circuit.

[0060] Wireless communication module: used to realize the wireless communication between the intelligent lamp and the outside world (such as smartphones, central control rooms, etc.), facilitating remote monitoring and control.

[0061] Sensing circuit: It consists of an amplification and filtering circuit and an A / D conversion circuit, which is responsible for receiving signals from components such as multispectral sensors and temperature sensors, amplifying, filtering, and digitizing the signals, and then transmitting them to the control module for analysis. An amplification and filtering circuit is added to the sensing circuit to effectively filter out interference signals generated by the luminescence of the lamp, improving the signal-to-noise ratio of the sensor output. The signals output by the sensors are preprocessed, such as smoothing filtering and denoising, to reduce the impact of interference signals on the fire monitoring results.

[0062] Furthermore, in order to consider circuit shielding and heat dissipation design, metal thin plates are provided around the lighting circuit, wireless communication module, and sensing circuit to form wire shielding plates, reducing electromagnetic interference and signal loss.

[0063] 2. Fire detection components are built into the detection cavity

[0064] Six groups of multispectral sensors are annularly distributed at the top of the detection cavity. Each group of sensors consists of a blue LED with a central wavelength of 450 nm, a narrowband infrared receiver with a response band of 940 nm ± 10 nm, and a UV photodiode with a response threshold of 280 nm. These sensors can detect multiple spectral characteristics simultaneously, improving the accuracy and reliability of fire detection. And these sensors are evenly distributed at the top of the detection cavity to form an annular array, improving the coverage and accuracy of fire detection. It also avoids directly exposing the sensors under the luminescence area of the lamp, reducing the impact of light interference.

[0065] Specific detection principle:

[0066] Blue LED and UV photodiode: The blue LED emits light with a central wavelength of 450 nm. When encountering smoke particles generated by a fire, these particles will scatter the blue light and excite ultraviolet light. The UV photodiode is responsible for receiving this excited ultraviolet light and converting it into an electrical signal. When the intensity of the ultraviolet light exceeds the threshold of 280 nm and the response time ≤ 100 ns, it indicates that there may be fire smoke.

[0067] Narrowband infrared receiver:

[0068] The narrowband infrared receiver specifically receives infrared light in the 940 nm ± 10 nm band, with a sensitivity of 0.5 mV / μW. When a fire occurs, the flame will emit a large amount of infrared radiation. When the intensity of the infrared light detected by the infrared receiver reaches the preset value, it indicates that there may be a flame.

[0069] The technical principle it follows is: When a light signal irradiates the surface of an object (in this case, the smoke or flame generated by a fire), the object will reflect or emit light in a specific band, and this light is captured by the sensor and converted into an electrical signal. These electrical signals are then processed to extract the characteristic information of the target substance (in this case, smoke or flame) in different spectral bands.

[0070] The temperature sensor detects fires by monitoring the temperature changes in the surrounding environment. When a fire occurs, the ambient temperature will rise rapidly.

[0071] There are also 5 platinum resistance thin film temperature sensors 5 in the detection cavity, with a spacing of 3 mm between each layer, a film thickness of 0.1 mm, and a resistance change rate of 0.385 Ω / °C. The resistance of the platinum resistance thin film temperature sensor changes with temperature, and the ambient temperature can be calculated by measuring its resistance change. It is mainly designed based on the principle of metal expansion. In this example, the temperature sensor adopts a double-metal design, with two metals with different expansion coefficients pasted together. When the temperature changes, the degree of metal expansion will increase, forming an output signal. This signal is then converted into a digital signal for the control module to process and analyze. The design of the temperature sensor is simple and effective, and can monitor the temperature changes in the surrounding environment in real time.

[0072] These sensors can monitor the temperature changes in the detection cavity in real time, providing important data for fire warning. The 6 groups of multi-spectral sensors and temperature sensors are respectively connected to the microcontroller through large filter circuits and A / D conversion circuits. For example, when the change rate or absolute value of the ambient temperature exceeds the preset threshold, the system will issue an alarm prompt.

[0073] A semi-transmissive ceramic substrate is provided at the central axis of the detection cavity, made of alumina-silicon nitride composite material, with a porosity of 15 - 20%, a pore size distribution of 50 - 200 μm, and a surface roughness Ra ≤ 1.6 μm. This material has good light transmittance and thermal stability, which is beneficial to the transmission of optical signals and the monitoring of temperature, and can effectively protect the multi-spectral sensors from high temperature and corrosive gases. At the same time, the ceramic material has excellent insulation performance, so the semi-transmissive ceramic substrate can provide a safe isolation layer between the base and the detection cavity and the illumination cavity environment. This helps to prevent current leakage or short circuit phenomena and ensures the electrical safety of electronic devices.

[0074] An insect-proof net is provided on the outer periphery of the detection cavity, made of 304 stainless steel, with a mesh hole diameter of 0.8 mm, a porosity of 40%, and the mesh surface is 2 mm away from the sensor array. The insect-proof net can effectively prevent insects from entering the detection cavity and affecting the operation of the sensors.

[0075] 3. The lighting cavity housing is an optical diffuser: It is made of high-temperature flame-retardant material, and its outer surface is sandblasted. The haze value is 85%, and the light transmittance is 90%, which improves the aesthetics and durability. In the middle area of the front of the housing, a spiral flow guide groove is reserved, and the inner wall is designed with a concave-convex structure, which helps the rapid conduction and detection of smoke and heat flow. The optical diffuser is internally provided with a COB light source module (the color temperature is adjustable from 2700K to 6500K) and an annular radiator. Among them, the COB light source module is connected to the microcontroller through a relay, a brightness adjustment circuit, and an LED lamp drive circuit in sequence.

[0076] The annular radiator is made of 6063 aluminum alloy, the fin height is 15mm, and the spacing is 2mm;

[0077] Furthermore, the inner wall of the flow guide groove can be provided with double-spiral flow guide ribs. The rib height is 1.5mm, the pitch is 8mm, and the spiral angle is 45°. This design can guide the smoke and heat flow to flow along a specific path, improving the sensitivity and accuracy of fire detection. At the same time, the flow guide groove forms a close connection with the detection cavity through a physical notch, ensuring that the smoke and heat flow can smoothly enter the detection cavity for detection.

[0078] In addition, a thermal conductive silicone pad with a thickness of 1mm, a thermal conductivity of 8W / m·K, and a contact pressure of 0.2 - 0.3MPa is filled between the COB light source module and the radiator to improve the heat dissipation efficiency and extend the service life of the lamp.

[0079] 4. The software program in the control module is divided into: a primary determination module, an intermediate determination module, and an advanced determination module. The microcontroller has a primary determination module and an intermediate determination module; the LSTM coprocessor has an advanced determination module, which is a pre-loaded and trained LSTM model at the time of factory.

[0080] The microcontroller and the LSTM coprocessor communicate in full-duplex mode through the SPI bus, and the transmission rate is 10Mbps. The microcontroller packs the preprocessed multi-spectral sensor data into a 32-byte data frame and sends it to the coprocessor, and the coprocessor returns the fire probability value (in the range of 0 - 1) within 15ms.

[0081] The primary determination module is used to identify that when the temperature gradient change rate > 3°C / min according to the data collected by the temperature sensor, and issue a primary alarm prompt; the temperature gradient analysis conforms to the characteristics of the flame thermal plume. It can be warned by the buzzer in the base.

[0082] The intermediate determination module is used to identify that when specific spectral characteristics (such as ultraviolet light intensity, infrared light intensity) last for 5s according to the data collected by the multi-spectral sensor, and issue an intermediate alarm prompt; based on spectral characteristic analysis, UV detection: the pulse count in the 280nm band > 50 times / second determines an open fire; IR analysis: a sudden increase of 30% in the absorption rate at 940nm identifies CO2 For example, by activating the emergency lighting, emitting red stroboscopic light at 2 Hz to give an alarm.

[0083] An advanced determination module, which is used to, based on the data collected by the multispectral sensor and the temporal feature analysis model of the trained LSTM network, identify that when the movement trajectory of aerosol particles conforms to combustion characteristics (such as smoke diffusion, flame spread, etc.), conduct laser scattering detection: analyze the movement trajectory of particles with a particle size of 0.3 - 10 μm; Brownian motion index: the characteristic value of combustion products > 0.85; give an advanced alarm prompt. For example, send a fire warning message to the central control room or relevant personnel through the wireless communication module.

[0084] Among them, the implementation process of the advanced determination based on the LSTM network

[0085] 1). Data collection and preprocessing

[0086] Collection of aerosol particle movement trajectory data: Through the sensors in the air flow state monitoring channel, collect the movement trajectory data of aerosol particles in real time.

[0087] Data preprocessing: Perform noise reduction and denoising processing on the collected data, and extract the movement characteristics of aerosol particles, such as speed, direction, concentration change, etc.

[0088] 2). Construction of the LSTM network model

[0089] Model selection: Adopt the LSTM (Long Short-Term Memory) network, because it can effectively process temporal data and is suitable for analyzing the time series characteristics of the movement trajectory of aerosol particles.

[0090] Feature engineering: Input the preprocessed aerosol particle movement trajectory data into the LSTM network for feature learning and extraction.

[0091] Model training: Use a large amount of labeled aerosol particle movement trajectory data in fire and normal environments to train the LSTM model so that it can identify the characteristic patterns during a fire.

[0092] 3). Model application and decision-making

[0093] Real-time analysis: Input the real-time collected and preprocessed aerosol particle movement trajectory data into the trained LSTM model for real-time analysis.

[0094] Decision-making logic: When the LSTM model determines that the movement trajectory of aerosol particles conforms to fire characteristics, the system triggers an advanced warning.

[0095] 4). Emergency startup

[0096] Send a fire warning message to the central control room or relevant personnel through the wireless communication module: At the same time, activate the audible and visual alarm device to remind people to pay attention to the occurrence of the fire.

[0097] Steps 1) and 2) can be pre-trained on the server side or at the factory, and subsequent steps 3) and 4) are applications implemented by deploying to the LSTM coprocessor.

[0098] In this example, the algorithm is used to process and analyze data from multi-spectral sensors and temperature sensors to determine whether there is a fire risk.

[0099] The control module of the intelligent lamp will comprehensively consider the output results of the primary determination module, the intermediate determination module and the advanced determination module, as well as possible other sensor data (such as smoke detectors, etc.) for comprehensive determination. For example, when the comprehensive determination result indicates a fire risk, the intelligent lamp will send an alarm prompt to the central control room or terminal devices such as smartphones through the wireless communication module, and at the same time activate the emergency lighting function to further emit a flashing light reminder.

[0100] Working principle:

[0101] Normal lighting mode: The COB module outputs a light efficiency of 120 lm / W;

[0102] Fire monitoring mode:

[0103] a) Air enters the detection cavity through the diversion channel at a flow rate of 0.3 - 0.8 m / s;

[0104] b) The multi-spectral sensor collects data every 200 ms;

[0105] c) The temperature gradient algorithm calculates the change rate of the temperature difference between layers;

[0106] Alarm linkage: After being triggered, the light source switches to start emergency lighting red strobing (frequency 2 Hz, duty cycle 50%).

[0107] In summary, the intelligent lamp of the present invention integrates advanced fire detection technology and a unique design structure, that is: through multi-spectral sensors, temperature sensors and advanced algorithm analysis, it realizes an efficient and accurate fire warning function. At the same time, the lamp also has excellent lighting performance and heat dissipation performance, can meet the use requirements of various places, and provides valuable time for personnel evacuation and fire fighting and rescue.

[0108] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0109] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent lamp with integrated fire detection, characterized in that: include: A base, a detection cavity and an illumination cavity, wherein the detection cavity is ring-shaped and mounted on the base; The illumination cavity passes through the ring shape in the middle of the detection cavity and is installed on the base; and a gap is provided between the detection cavity and the illumination cavity to form a guide channel; The base has a built-in control module, a lighting circuit, a wireless communication module and a sensor circuit; the control module is connected to the lighting circuit, the wireless communication module and the sensor circuit respectively; Six groups of multispectral sensors are arranged in an annular distribution on the top of the detection cavity, and a semi-transmissive ceramic substrate is arranged at the central axis; the six groups of multispectral sensors are connected to the control module through a sensor circuit; the control module, the lighting circuit, and the multispectral sensor are respectively connected to an external power supply; The lighting cavity has a built-in COB light source module, an annular heat sink and an optical diffusion cover; the COB light source module is connected to the lighting circuit.

2. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: Each set of multispectral sensors consists of a blue light LED with a central wavelength of 450nm, a narrow-band infrared receiver with a response band of 940nm±10nm, and an ultraviolet photodiode with a response threshold of 280nm.

3. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: The detection cavity is also provided with 5 layers of platinum resistance film temperature sensors, which are all connected to the control module through a sensor circuit, with a layer spacing of 3mm, a film thickness of 0.1mm, and a resistance change rate of 0.385Ω / °C.

4. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: The semi-transmissive ceramic substrate is an aluminum oxide-silicon nitride composite material with a porosity of 15-20%, a pore size distribution of 50-200 μm, and a surface roughness Ra≤1.6 μm.

5. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: The outer periphery of the detection cavity is provided with an anti-insect net made of 304 stainless steel, with a mesh diameter of 0.8 mm, a porosity of 40%, and a mesh surface distance of 2 mm from the sensor array.

6. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: The lighting cavity shell is made of high-temperature flame-retardant material, and the outer surface is sandblasted; in the middle area of ​​the front side of the shell, a guide groove for smoke and heat flow is reserved.

7. The intelligent lamp with integrated fire detection according to claim 2, characterized in that: The guide groove is spiral in shape as a whole, and its inner wall adopts a concave-convex structure design; and is closely connected with the detection cavity through a physical notch.

8. The intelligent lamp with integrated fire detection according to claim 2, characterized in that: The inner wall of the guide groove is provided with double helical guide ribs, with a rib height of 1.5 mm, a pitch of 8 mm, and a helical angle of 45°.

9. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: The peripheries of the lighting circuit, the wireless communication module and the sensor circuit are all provided with metal sheets to form wire shielding plates.

10. The intelligent lamp with integrated fire detection according to claim 1, characterized in that: A thermally conductive silicone pad is filled between the COB light source module and the heat sink.

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