Intelligent multifunctional early warning device
By designing an intelligent multi-functional early warning device integrating temperature, gas, smoke sensors and AI camera modules, the problem of difficulty in monitoring and early warning of safety hazards in the kitchen environment is solved, and a comprehensive real-time monitoring and timely warning of the kitchen environment is achieved, which significantly reduces the incidence of accidents.
Patent Information
- Application Number
- CN202510076742.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2025-03-25
AI Technical Summary
There are safety hazards such as gas leakage, excessive oil temperature, smoke and fire in the kitchen environment. The existing technology is difficult to effectively monitor and early warning, resulting in frequent accidents.
Design an intelligent multi-functional early warning device, integrating temperature, gas, smoke sensors and AI camera modules, monitoring the kitchen environment in real time, issuing early warnings through text messages, mini programs, robot phones, sound and light alarms, etc., and has the ability to control the power outage of gas valve cutting and circuits.
It realizes comprehensive real-time monitoring of the kitchen environment, promptly warning and blocking dangers, significantly reducing the incidence of fires and gas leakage accidents, and ensuring family safety.
Smart Images

Figure CN119694061A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the fields of monitoring cameras, sensing equipment, and more particularly to an intelligent multifunctional early warning device. Background Art
[0002] In modern home life, the kitchen, as one of the core areas of family activities, carries the important functions of cooking food and conveying warmth. People frequently use various gas stoves and electrical appliances every day. However, the kitchen environment hides many safety hazards. On the one hand, as the main energy source, gas is colorless and odorless. Once a leak occurs, it is easy to be ignored. When the leakage reaches a certain concentration, it may cause a violent explosion at any time. On the other hand, the oil temperature is too high and the electrical short circuit occurs from time to time during the cooking process. If you are not careful, a lot of smoke will be generated, which will cause a fire. According to relevant statistics, there are countless casualties and property losses caused by kitchen fires and gas leaks every year. Faced with these grim realities, people urgently need a product that protects kitchen safety in all aspects. Therefore, this product, which integrates the functions of monitoring kitchen temperature, smoke concentration, gas concentration detection and AI high temperature off-duty algorithm, came into being. It can accurately perceive various potential danger signals in the kitchen in real time, issue early warnings at the first time, escort people's kitchen life, effectively reduce the risk of accidents, and ensure the safety and happiness of the family. Summary of the invention
[0003] The purpose of the present invention is to design a multifunctional early warning device to monitor the temperature, gas, smoke, and staff absence in the kitchen in real time. When various potential dangers occur, the device will immediately inform residents through text messages, mini-programs, robot calls, and on-site sound and light alarms to ensure the safety of life and property of residents.
[0004] Specifically, the technical solution provided by the present invention is: an intelligent multifunctional early warning device, including PCBA-A, PCBA-B, an AI camera module, an oil temperature sensor, a human body induction sensor, a battery indicator light, a high temperature indicator light, an alarm indicator light, a Bluetooth matching button, an AI camera module PCBA, a smoke detection sensor, a network port socket, a methane detection sensor, a DC battery socket, a speaker, and a bracket buckle. The bracket buckle is equipped with a speaker, a PCBA-A is provided above the speaker, the PCBA-A is connected to the network port socket, a methane detection sensor is provided on one side of the network port socket, a DC battery socket is provided on one side of the methane detection sensor, and a smoke detection sensor is provided on one side of the DC battery socket;
[0005] An AI camera module PCBA is installed in the middle of PCBA-A, an AI camera module is connected to the AI camera module PCBA, and a PCBA-B is arranged around the AI camera module;
[0006] A human body sensing sensor is connected to PCBA-B. Multiple alarm indicator lights are arranged on both sides of the human body sensing sensor. A battery indicator light is arranged on one side of the alarm indicator light. An oil temperature sensor is arranged on one side of the battery indicator light. A high temperature indicator light is arranged on one side of the oil temperature sensor.
[0007] Furthermore, the smoke detection sensor, the network port socket, the methane detection sensor, and the DC battery socket are all connected and fixed on PCBA-A.
[0008] Furthermore, the oil temperature sensor, the human body sensing sensor, the battery indicator light, the high temperature indicator light, and the alarm indicator light are all connected and fixed on PCBA-B.
[0009] Furthermore, a Bluetooth pairing button is connected under PCBA-B.
[0010] Furthermore, the advanced flame algorithm built into the AI camera enables it to monitor the status of open flames in the kitchen in real time. Once signs of open flames are detected, the camera will automatically adjust the sensor immediately, switch the original regular monitoring frequency to high-frequency mode, and focus on kitchen temperature monitoring to ensure the high accuracy of the temperature data obtained, providing a strong basis for timely response to potential dangers.
[0011] Furthermore, the AI camera module has an intelligent and autonomous opening and closing function. It uses the built-in flame detection algorithm to detect that it will automatically turn on when the gas stove is turned on, and automatically turn off when the gas stove is turned off, reducing unnecessary continuous visual monitoring and thus avoiding the risk of privacy leakage; it allows users to manually turn off the AI camera module, providing the most direct visual privacy protection measure; after the AI camera module is turned off, the flame detection algorithm is not enabled, which does not affect the implementation of other functions.
[0012] Furthermore, the AI camera module will automatically start the recording function the moment the warning or alarm signal is triggered, accurately capturing and retaining the current video and the 3 minutes before and after, providing key image data for tracing the source of the accident and identifying the cause afterwards.
[0013] Furthermore, the intelligent multifunctional early warning device has the key capabilities of controlling the gas valve cut-off and circuit power-off. It has built-in ZigBee and Bluetooth physical interface communication modules, which can decisively send cut-off commands to the gas and circuit controllers in an emergency, promptly blocking the further spread of danger and effectively guarding the safety line of the home kitchen.
[0014] Compared with the prior art, the advantages of the present invention are: (1) integrated multi-sensor and monitoring: integrating smoke, gas, oil temperature sensors and AI cameras, using the Internet of Things to report key kitchen information in real time, and presenting it on multiple terminals for easy user control; (2) accurate prevention of dangers: based on field research, built-in algorithms are used to prevent kitchen dangers such as dry burning and abnormal gas combustion; (3) enhanced open flame monitoring: AI cameras automatically perform high-frequency monitoring when encountering open flames to ensure accurate temperature data; (4) automatic image retention: automatically recording a 3-minute video when warning or alarming occurs for accident tracing; (5) timely blocking of dangers: able to control gas valve cut-off and circuit power-off, and issue instructions to block dangers in emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Figure 1 It is a structural schematic diagram of the present invention.
[0016] As shown in the figure: 1. PCBA-A, 2. PCBA-B, 3. AI camera module, 4. Oil temperature sensor, 5. Human body sensing sensor, 6. Battery indicator light, 7. High temperature indicator light, 8. Alarm indicator light, 9. Bluetooth matching button, 10. AI camera module PCBA, 11. Smoke detection sensor, 12. Network port socket, 13. Methane detection sensor, 14. DC battery socket, 15. Speaker, 16. Bracket buckle. DETAILED DESCRIPTION
[0017] The present invention is further described in detail below in conjunction with the accompanying drawings.
[0018] Embodiment 1
[0019] like Figure 1As shown, this embodiment provides an intelligent multifunctional early warning device, which structurally includes PCBA-A1, PCBA-B2, AI camera module 3, oil temperature sensor 4, human body induction sensor 5, battery indicator light 6, high temperature indicator light 7, alarm indicator light 8, Bluetooth matching button 9, AI camera module PCBA10, smoke detection sensor 11, network port socket 12, methane detection sensor 13, DC battery socket 14, speaker 15, bracket buckle 16, the bracket buckle 16 is equipped with speaker 15, a PCBA-A1 is arranged above the speaker 15, the PCBA-A1 is connected to the network port socket 12, and one side of the network port socket 12 is provided with There is a methane detection sensor 13, a DC battery socket 14 is provided on one side of the methane detection sensor 13, and a smoke detection sensor 11 is provided on one side of the DC battery socket 14; an AI camera module PCBA10 is assembled in the middle of PCBA-A1, an AI camera module 3 is connected to the AI camera module PCBA10, and a PCBA-B2 is arranged around the AI camera module 3; a human body sensing sensor 5 is connected to PCBA-B2, and multiple alarm indicator lights 8 are provided on both sides of the human body sensing sensor 5, a battery indicator light 6 is provided on one side of the alarm indicator light 8, an oil temperature sensor 4 is provided on one side of the battery indicator light 6, and a high temperature indicator light 7 is provided on one side of the oil temperature sensor 4.
[0020] In terms of connection, the smoke detection sensor 11, network port socket 12, methane detection sensor 13, and DC battery socket 14 are all connected and fixed on PCBA-A1. The oil temperature sensor 4, human body induction sensor 5, battery indicator light 6, high temperature indicator light 7, and alarm indicator light 8 are all connected and fixed on PCBA-B2. A Bluetooth matching button 9 is connected at the bottom of PCBA-B2.
[0021] Specifically, the AI camera module 3 used in this device has a built-in flame detection algorithm, which enables it to monitor the open flame status in the kitchen in real time. Once the signs of open flame are captured, the AI camera module 3 will immediately and automatically adjust the built-in sensor, switch the original conventional monitoring frequency to the high-frequency mode, and focus on the kitchen temperature monitoring to ensure the high accuracy of the acquired temperature data, providing a strong basis for timely response to potential dangers. The AI camera module 3 has an intelligent and autonomous opening and closing function. It will automatically turn on only when high temperature, smoke, gas, open flame alarm and warning are detected, otherwise it will automatically turn off, reducing unnecessary continuous visual monitoring, thereby avoiding the risk of privacy leakage; allowing users to manually turn off the AI camera module 3, providing the most direct visual privacy protection measure; the flame detection algorithm is not enabled after the AI camera module 3 is turned off, which does not affect the realization of other functions. At the moment when the warning or alarm signal is triggered, the AI camera module 3 will quickly and automatically turn on the recording function, accurately capture and retain the video images of the current 3 minutes before and after, and provide key image data for tracing the source of the accident and finding out the cause afterwards.
[0022] In addition, the intelligent multifunctional early warning device has the key capabilities to control the gas valve cut-off and circuit power-off. It has built-in ZigBee and Bluetooth physical interface communication modules, which can decisively send cut-off commands to the gas and circuit controllers in an emergency, promptly blocking the further spread of danger and effectively guarding the safety line of the home kitchen.
[0023] Embodiment 2
[0024] like Figure 1 As shown, this embodiment provides an intelligent multifunctional early warning device, which integrates a gas sensor, a smoke sensor, an oil temperature sensor, and an AI camera equipped with a human recognition and flame detection algorithm. With the help of efficient IoT communication technology, key information such as the monitored oil temperature, gas concentration, smoke concentration, personnel leaving the post, and flame status can be quickly reported to the system platform in real time. Subsequently, through diversified terminal applications such as platforms, applets, and apps, these data are presented to users intuitively and in real time, allowing the safety of the kitchen to be under control.
[0025] The R&D team conducted in-depth field research on kitchen scenarios, repeatedly simulated various emergencies in the kitchen, and built a powerful AI high-temperature off-duty alarm algorithm into the product. With this algorithm, the product can accurately and efficiently prevent a series of abnormal and dangerous situations in kitchen operations, such as dry burning, abnormal combustion of flammable gases, and electrical short circuits, and ensure the safety of kitchen activities in all aspects.
[0026] Embodiment 3
[0027] like Figure 1 As shown, this embodiment provides a specific implementation of an intelligent multifunctional early warning device.
[0028] 1. Site selection
[0029] Choose a suitable installation location in the kitchen, usually giving priority to the area above the stove, so that the oil temperature sensor 4, human body sensing sensor 5, smoke detection sensor 11, methane detection sensor 13 and AI camera module 3 can effectively cover the cooking area and accurately monitor the oil temperature, flame and personnel activities. However, be careful to avoid locations with high temperature direct baking and frequent steam impact to prevent damage to the equipment.
[0030] 2. Fixed base
[0031] Use matching installation accessories, such as expansion screws, fixing brackets, etc. to firmly install the bracket buckle 16 on the selected wall or ceiling position, ensuring that the installation surface is flat and has sufficient bearing capacity to ensure that the equipment will not loosen or fall during daily use.
[0032] 3. Connect the power supply
[0033] Plug one end of the 12V power adapter provided with the device into a standard household socket, and connect the other end to the DC battery socket 14 of the device. Make sure the interface is tightly connected to avoid unstable power supply caused by loose connection. At the same time, tidy up the power cord to avoid the cable being messy or pulled.
[0034] 4. Adjustment direction
[0035] Hold the main body of the device and use its built-in universal adjustment device to flexibly adjust the direction of the sensor and camera according to the kitchen layout and actual monitoring needs to ensure that key information in the kitchen can be captured in all directions and without blind spots. After the adjustment, confirm again whether the fixation is firm.
[0036] Embodiment 4
[0037] like Figure 1 As shown, this embodiment provides an intelligent multifunctional early warning device, which is an intelligent AI early warning system for real-time monitoring of fire and gas safety in the working environment. This device integrates advanced sensor technology and data processing algorithms, and is designed to monitor the kitchen environment in real time and issue alarms in time to prevent potential safety hazards such as fire and gas leakage, and ensure the safety of home and commercial kitchens.
[0038] Structurally, an intelligent multifunctional early warning device is mainly composed of an oil temperature detector, a smoke detector, a gas detector, an AI camera equipped with human recognition and flame detection algorithms, an alarm device and a system platform. The detectors and cameras are responsible for collecting the temperature, smoke concentration, gas concentration and personnel activities in the kitchen in real time. The built-in alarm algorithm analyzes the data and identifies potential dangerous conditions according to the preset early warning / alarm thresholds. Once an abnormality is detected, the early warning and alarm mechanism is immediately triggered, and an alarm message is sent to the system platform and the user. At the same time, the alarm device is triggered to send an audible and visual alarm to remind the on-site personnel to take timely measures. In an emergency, a command can be sent to remotely cut off the power and gas to prevent accidents such as fires.
[0039] This device has a built-in powerful AI high temperature away alarm algorithm. When there is no one in the kitchen and there is a safety hazard, the system will issue an away alarm and generate an alarm signal. This function effectively avoids the risk of fire caused by an unattended stove.
[0040] This device has an AI camera with advanced flame algorithms built in. It works with temperature detectors to ensure high accuracy of temperature data, providing a strong basis for timely response to potential dangers. When an early warning or alarm is issued, it captures and retains 3 minutes of video footage before and after the incident, providing key image data for tracing the source of the accident and identifying the cause afterwards.
[0041] Through diversified terminal applications such as platforms, mini-programs, and APPs, this device supports real-time viewing of kitchen status, receiving alarm information, and providing remote power and gas cut-off functions, allowing users to manage and intervene in kitchen safety even if they are not on site.
[0042] This device has data analysis capabilities and can record kitchen environment data over a long period of time, helping users identify trends in potential safety hazards and optimize kitchen management.
[0043] Through highly integrated hardware design and intelligent software algorithms, this device links the system platform to achieve comprehensive, real-time and accurate monitoring of kitchen safety, greatly improving the safety factor of the kitchen environment. It is suitable for a variety of scenarios such as homes and restaurants and has broad application prospects and social value.
[0044] The above shows and describes the basic principles and main features of the present invention and the advantages of the invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.
Claims
1. An intelligent multifunctional early warning device, comprising PCBA-A (1), PCBA-B (2), an AI camera module (3), an oil temperature sensor (4), a human body induction sensor (5), a battery indicator light (6), a high temperature indicator light (7), an alarm indicator light (8), a Bluetooth matching button (9), an AI camera module PCBA (10), a smoke detection sensor (11), a network port socket (12), a methane detection sensor (13), a DC battery socket (14), a speaker (15), and a bracket buckle (16), characterized in that: The bracket buckle (16) is equipped with a speaker (15), a PCBA-A (1) is arranged above the speaker (15), a network port socket (12) is connected to the PCBA-A (1), a methane detection sensor (13) is arranged on one side of the network port socket (12), a DC battery socket (14) is arranged on one side of the methane detection sensor (13), and a smoke detection sensor (11) is arranged on one side of the DC battery socket (14); An AI camera module PCBA (10) is mounted in the middle of the PCBA-A (1), an AI camera module (3) is connected to the AI camera module PCBA (10), and a PCBA-B (2) is arranged around the AI camera module (3); The PCBA-B (2) is connected to a human body sensing sensor (5), a plurality of alarm indicator lights (8) are arranged on both sides of the human body sensing sensor (5), a battery indicator light (6) is arranged on one side of the alarm indicator light (8), an oil temperature sensor (4) is arranged on one side of the battery indicator light (6), and a high temperature indicator light (7) is arranged on one side of the oil temperature sensor (4).
2. An intelligent multifunctional early warning device according to claim 1, characterized in that: The smoke detection sensor (11), the network port socket (12), the methane detection sensor (13), and the DC battery socket (14) are all connected and fixed on the PCBA-A (1).
3. An intelligent multifunctional early warning device according to claim 1, characterized in that: The oil temperature sensor (4), the human body induction sensor (5), the battery indicator light (6), the high temperature indicator light (7), and the alarm indicator light (8) are all connected and fixed on the PCBA-B (2).
4. The intelligent multifunctional early warning device according to claim 1, characterized in that: A Bluetooth matching button (9) is connected below the PCBA-B (2).
5. The intelligent multifunctional early warning device according to claim 1, characterized in that: The AI camera module (3) has a built-in flame detection algorithm, which enables it to monitor the status of open flames in the kitchen in real time. Once signs of open flames are captured, the AI camera module (3) will immediately and automatically adjust the built-in sensor, switch the original conventional monitoring frequency to a high-frequency mode, and fully focus on kitchen temperature monitoring, ensuring the high accuracy of the temperature data obtained, thereby providing a strong basis for timely response to potential dangers.
6. The intelligent multifunctional early warning device according to claim 1, characterized in that: The AI camera module (3) has an intelligent and autonomous on / off function. It automatically turns on when the gas stove is turned on and automatically turns off when the gas stove is turned off, using a built-in flame detection algorithm, thereby reducing unnecessary continuous visual monitoring and avoiding the risk of privacy leakage. The user is allowed to manually turn off the AI camera module (3), providing the most direct visual privacy protection measure. After the AI camera module (3) is turned off, the flame detection algorithm is not enabled, which does not affect the realization of other functions.
7. The intelligent multifunctional early warning device according to claim 1, characterized in that: The AI camera module (3) will automatically start the recording function immediately upon the triggering of the early warning or alarm signal, accurately capturing and retaining the current video footage and the video footage of the previous and next three minutes, thus providing key video data for tracing the source of the accident and identifying the cause afterwards.
8. The intelligent multifunctional early warning device according to claim 1, characterized in that: The intelligent multifunctional early warning device has the key capabilities of controlling gas valve cut-off and circuit power-off. It has built-in ZigBee and Bluetooth physical interface communication modules, which can decisively send cut-off instructions to gas and circuit controllers in emergencies, timely block the further spread of danger, and effectively protect the safety line of home kitchens.