Intelligent early warning method and system for abnormal heating of kitchen ware

Abstract

The invention discloses an intelligent early warning method and system for abnormal heating of kitchen ware, and the method comprises the steps: collecting and storing the data of each sensor in real time, calculating a temperature change rate and a humidity change rate according to the collected data, and judging a normal heating state when the temperature change rate and the humidity change rate are greater than or equal to zero at the same time; when the temperature change rate and the humidity change rate are equal to zero at the same time or the values are in the interval of [-0.03-0.03], a normal non-heating state is formed, in the state, data of all the sensors are continuously collected, the average value of all the data is calculated, when the temperature change rate is larger than zero, the humidity change rate is smaller than zero, and the humidity value H is smaller than the average humidity value HE in the normal non-heating state, an alarm is given, and at the moment, the temperature change rate and the humidity change rate are not larger than zero. And monitoring sound input, and if the input sound is alarm stopping sound, immediately stopping alarming. According to the intelligent early warning method and system for abnormal heating of the kitchen ware, the early warning signal can be generated before fire disasters and power overload occur, people are prompted to intervene in time, and fire disasters are avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of signal processing, and in particular relates to an intelligent early warning method and system for abnormal heating of kitchen utensils. Background Art

[0002] Kitchen appliances generally use two heating methods - gas and electricity. During the heating period, someone must be on duty to complete normal heating. Heating abnormalities require human identification and measures to correct the abnormal state. But even so, heating abnormalities and even fires caused by them occur from time to time. Especially at present, when there are many elderly people in the family, heating abnormalities caused by factors such as memory loss of the elderly are more common.

[0003] In the home environment, fire alarm systems have become popular, and power overload protection has also been widely used. These measures have a certain effect on the occurrence of fires. However, they also have blind spots. For example, the fire alarm detects the smoke concentration and generates an alarm, but the fire has already occurred and caused losses when the alarm is issued. Power protection only occurs when there is an overload, and there are many abnormal heating situations that will not cause overload.

[0004] Therefore, how to alarm when fire and overload do not occur in the early stage of abnormal heating is an urgent need for the current use of household kitchen appliances. Summary of the invention

[0005] In order to solve the problems in the prior art, the present invention provides an intelligent early warning method for abnormal heating of kitchen utensils, which collects and stores data from various sensors in real time, calculates the temperature change rate and humidity change rate according to the collected data, and determines that the normal heating state is when both are greater than or equal to zero at the same time, and the normal non-heating state is when both are equal to zero at the same time or their values ​​are in the [-0.030.03] interval. In this state, the data of each sensor are continuously collected, and the average value of each data is calculated. When the temperature change rate is greater than zero and the humidity change rate is less than zero and the humidity value H is less than the average humidity value HE in the normal non-heating state, an alarm is issued. At this time, the sound input is monitored. If the input is a "stop alarm" sound, the alarm is stopped immediately. Thereafter, if the collected temperature value T is greater than the set threshold TH, an alarm is issued again and the response to the "stop alarm" sound input is stopped. If any value representing the kitchen gas concentration is collected and exceeds 10 times the average value of the normal non-heating state, an alarm is issued.

[0006] Furthermore, the data collected in real time from each sensor include: temperature T, humidity H, CO concentration D1, CO2 concentration D2 and PM10 concentration D3, and data from each sensor is collected every 0.5 seconds.

[0007] Furthermore, the temperature change rate is the derivative of temperature T with respect to time t, expressed as The humidity change rate is the derivative of humidity H with respect to time t, expressed as

[0008] Furthermore, in the normal unheated state, first, the values ​​of temperature T, humidity H, CO concentration D1, CO2 concentration D2 and PM10 concentration D3 are collected for 10 consecutive minutes, and then the average value of each data is calculated, and the average value of each data is used as the normal unheated state data for the next 3 hours. This step is repeated after 3 hours.

[0009] Furthermore, the alarm is sounded and a yellow alarm light flashes.

[0010] Furthermore, the set threshold TH=50.

[0011] Furthermore, the kitchen gas concentration includes CO concentration D1, CO2 concentration D2 and PM10 concentration D3.

[0012] The present invention also provides an intelligent early warning system for abnormal heating of kitchen utensils, which is placed in an unventilated position close to the heating equipment. Based on the intelligent early warning method for abnormal heating of kitchen utensils, the system includes an MCU, a temperature sensor, a humidity sensor, a CO sensor, a CO2 sensor, a microphone, a memory, an alarm device and a PM10 sensor. The temperature sensor, the humidity sensor, the CO sensor, the CO2 sensor, the PM10 sensor and the microphone are respectively connected to the input end of the MCU, the output end of the MCU is connected to the alarm device, the memory is connected to the MCU, the MCU will collect data from the temperature sensor, the humidity sensor, the CO sensor, the CO2 sensor and the PM10 sensor in real time, and store the collected data in the memory, and the MCU can read the data stored in the memory.

[0013] Furthermore, the alarm device can emit sound and light alarms when abnormal heating occurs. The microphone is used to monitor the sound. When a "stop alarm" sound is detected, it is determined to be a master command, and the system immediately stops the alarm.

[0014] Furthermore, an ADC chip is arranged between the temperature sensor, humidity sensor, CO sensor, CO2 sensor and PM10 sensor and the MCU, and a DAC chip is arranged between the MCU and the alarm device.

[0015] Compared with the prior art, the present invention is aimed at providing early warning of abnormal heating conditions before a fire occurs. The present invention provides an intelligent early warning method and system for abnormal heating of kitchen utensils, which can generate early warning signals before fire and power overload occur, and promptly remind people to intervene, thereby effectively avoiding the occurrence of fire; the present invention uses a sensor monitoring system to monitor the heating status of kitchen utensils in real time and accurately determine whether an abnormality occurs; the use of an intelligent algorithm can distinguish between normal heating and abnormal heating conditions, avoid false alarms, and improve the accuracy of early warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The invention discloses a structural schematic diagram of an intelligent early warning system for abnormal heating of kitchen utensils. DETAILED DESCRIPTION

[0017] The present invention is further explained below in conjunction with the drawings and specific embodiments of the specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0018] Combined with Figure 1 The present invention shown provides an intelligent early warning system for abnormal heating of kitchen utensils, which is placed in an unventilated position close to the heating equipment, including an MCU, a temperature sensor, a humidity sensor, a CO sensor, a CO2 sensor, a microphone, a memory, an alarm device and a PM10 sensor, wherein the MCU is a control and computing chip, and the temperature sensor, the humidity sensor, the CO sensor, the CO2 sensor, the microphone and the PM10 sensor input the real-time monitored data into the MCU, and the alarm device can emit sound and light alarms in the event of an abnormality. Specifically, the temperature sensor, the humidity sensor, the CO sensor, the CO2 sensor, the PM10 sensor and the microphone are respectively connected to the input end of the MCU, the output end of the MCU is connected to the alarm device, the memory is connected to the MCU, the MCU collects the data of the temperature sensor, the humidity sensor, the CO sensor, the CO2 sensor and the PM10 sensor in real time, and stores the collected data in the memory, and the MCU can read the data stored in the memory.

[0019] According to an embodiment of the present invention, the memory includes a 512G hard disk and an 8GDDR memory card.

[0020] According to an embodiment of the present invention, the microphone is used to monitor sound, and when a "stop alarm" sound is detected, it is determined to be a master command, and the system immediately stops the alarm.

[0021] According to an embodiment of the present invention, an ADC chip may be provided between the temperature sensor, humidity sensor, CO sensor, CO2 sensor and PM10 sensor and the MCU as required, and a DAC chip may also be provided between the MCU and the alarm device as required.

[0022] According to an embodiment of the present invention, the intelligent early warning method for abnormal heating of kitchen utensils of the present invention comprises the steps of:

[0023] 1.MCU receives data from each sensor.

[0024] The MCU collects data from the temperature sensor, humidity sensor, CO sensor, CO2 sensor and PM10 sensor every 0.5 seconds. The data input by each sensor are temperature T, humidity H, CO concentration D1, CO2 concentration D2 and PM10 concentration D3 respectively. The MCU stores the collected data of each sensor in the memory.

[0025] 2. Calculate the rate of change of temperature and humidity.

[0026] That is, the temperature T and humidity H are derived with respect to time t respectively. When the temperature change rate and humidity change rate When both are greater than or equal to zero at the same time, it is judged to be in normal heating state.

[0027] 3. When the temperature change rate and humidity change rate When both are equal to zero or their values ​​are in the range of [-0.03 0.03], it is judged as a normal non-heating state.

[0028] In the normal unheated state, continuously measure the temperature T, humidity H, CO concentration D1, CO2 concentration D2, and PM10 concentration D3 for 10 minutes, calculate the average value of each data, and use this value as the normal unheated state data for the next 3 hours. Repeat this step after 3 hours to remeasure these values.

[0029] 4. When the temperature change rate Greater than zero and humidity change rate When the temperature T is less than zero and the current humidity H value is less than the normal unheated humidity average value HE calculated in step 3, an alarm is sounded, and the alarm light flashes yellow. At this time, the sound input of the microphone is monitored. If the input is the "stop alarm" sound, it is determined to be a master command, and the system immediately stops the alarm. After that, if the temperature T is measured at this time and is greater than the set threshold TH = 50°C, the alarm is sounded again and the response to the microphone "stop alarm" sound input is stopped.

[0030] 5. When any one of the current CO concentration D1, CO2 concentration D2 and PM10 concentration D3 is measured to be more than 10 times the average value of the CO concentration, CO2 concentration and PM10 concentration in the normal unheated state calculated in step 3, the alarm device of the alarm system flashes a yellow light and sounds an alarm.

[0031] The present invention provides a method and system for intelligent early warning of abnormal heating of kitchen utensils. The present invention is aimed at early warning of abnormal heating before a fire occurs, and can generate an early warning signal before a fire or power overload occurs.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent early warning method for abnormal heating of kitchen utensils, characterized in that: The data of each sensor is collected and stored in real time. The temperature change rate and humidity change rate are calculated based on the collected data. When both are greater than or equal to zero at the same time, it is determined to be a normal heating state. When both are equal to zero at the same time or their values ​​are in the range of [-0.03 0.03], it is a normal non-heating state. In this state, the data of each sensor is continuously collected and the average value of each data is calculated. When the temperature change rate is greater than zero and the humidity change rate is less than zero and the humidity value H at this time is less than the average humidity value HE in the normal non-heating state, an alarm is issued. At this time, the sound input is monitored. If the input is the "stop alarm" sound, the alarm is stopped immediately. After that, if the collected temperature value T is greater than the set threshold TH, the alarm will be sounded again and the response to the "stop alarm" sound input will be stopped. If any value collected to represent the kitchen gas concentration exceeds 10 times the average value of the normal unheated state, an alarm will be issued.

2. The intelligent early warning method for abnormal heating of kitchen utensils according to claim 1 is characterized in that: The sensor data collected in real time include: temperature T, humidity H, CO concentration D1, CO2 concentration D2 and PM10 concentration D3. Data is collected from each sensor every 0.5 seconds.

3. The intelligent early warning method for abnormal heating of kitchen utensils according to claim 1 is characterized in that: The temperature change rate is the derivative of temperature T with respect to time t, expressed as The humidity change rate is the derivative of humidity H with respect to time t, expressed as 4. The intelligent early warning method for abnormal heating of kitchen utensils according to claim 1, characterized in that: In the normal unheated state, first, collect the values ​​of temperature T, humidity H, CO concentration D1, CO2 concentration D2 and PM10 concentration D3 for 10 consecutive minutes, and then calculate the average value of each data, and use the average value of each data as the normal unheated state data for the next 3 hours. Repeat this step after 3 hours.

5. The intelligent early warning method for abnormal heating of kitchen utensils according to claim 1 is characterized in that: The alarm is sounded and the alarm light flashes yellow.

6. The intelligent early warning method for abnormal heating of kitchen utensils according to claim 1, characterized in that: The set threshold TH=50.

7. The intelligent early warning method for abnormal heating of kitchen utensils according to claim 1, characterized in that: The kitchen gas concentration includes CO concentration D1, CO2 concentration D2 and PM10 concentration D3.

8. An intelligent early warning system for abnormal heating of kitchen utensils, placed in a non-ventilated location close to the heating equipment, characterized in that: Based on the intelligent early warning method for abnormal heating of kitchen utensils according to any one of claims 1 to 7, the system includes an MCU, a temperature sensor, a humidity sensor, a CO sensor, a CO2 sensor, a microphone, a memory, an alarm device and a PM10 sensor. The temperature sensor, humidity sensor, CO sensor, CO2 sensor, PM10 sensor and microphone are connected to the input end of the MCU respectively, and the output end of the MCU is connected to the alarm device. The memory is connected to the MCU, and the MCU collects data from the temperature sensor, humidity sensor, CO sensor, CO2 sensor and PM10 sensor in real time, and stores the collected data in the memory, and the MCU can read the data stored in the memory.

9. The intelligent early warning system for abnormal heating of kitchen utensils according to claim 8, characterized in that: The alarm device can emit sound and light alarms when abnormal heating occurs. The microphone is used to monitor the sound. When the "stop alarm" sound is detected, it is determined to be a master command and the system immediately stops the alarm.

10. The intelligent early warning system for abnormal heating of kitchen utensils according to claim 8, characterized in that: An ADC chip is also arranged between the temperature sensor, humidity sensor, CO sensor, CO2 sensor and PM10 sensor and the MCU, and a DAC chip is arranged between the MCU and the alarm device.

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