On-line monitoring method and system for cooking fume in catering industry

Abstract

The invention discloses a catering industry lampblack online monitoring method and system. According to the catering industry lampblack online monitoring method and system, comprehensive and real-time monitoring of pollutants discharged by catering enterprises is achieved by integrating various sensors. According to the method, the concentration of various pollutants can be accurately measured, the running state of related equipment can be effectively monitored, normal running of the equipment is ensured, environmental pollution caused by equipment failures or improper operation is avoided, and when it is monitored that the concentration of a certain pollutant exceeds the standard and is within the set working time period, the system can automatically trigger an alarm mechanism to give an alarm. An alarm is given through the buzzer and the display screen, and a passive I / O closing signal is output to control the purifier to be forcibly started, so that pollutant emission is quickly reduced. The processed data can be uploaded to a monitoring platform, so that remote real-time monitoring is realized, and the working efficiency and the response speed of an environmental protection supervision department are greatly improved; the method overcomes the defects of the traditional monitoring means, and provides powerful support for environmental protection management of the catering industry.

Description

Technical Field

[0001] This invention belongs to the field of oil fume detection technology, specifically relating to an online monitoring method and system for oil fume in the catering industry. Background Technology

[0002] In the area of ​​regulating kitchen fume emissions from the catering industry, traditional monitoring methods and equipment have many limitations. Current monitoring systems typically only monitor the concentration of kitchen fumes in exhaust ducts, failing to simultaneously monitor other important pollutants such as particulate matter concentration and non-methane total hydrocarbon concentration in real time. Furthermore, these systems often lack effective monitoring of the operational status of key equipment such as fans, purifiers, and water pumps, making it difficult to comprehensively reflect the equipment's working condition. This leads to regulatory loopholes, making it difficult for environmental management departments to accurately assess the pollution emissions of catering businesses and take timely appropriate measures. More importantly, the data transmission of existing equipment is not timely, preventing remote real-time monitoring and significantly limiting regulatory efficiency.

[0003] Existing oil fume monitoring equipment cannot comprehensively monitor the concentration of multiple pollutants and the equipment's operating status. Data transmission is not timely, making remote real-time monitoring impossible and affecting the efficiency of environmental supervision. Summary of the Invention

[0004] The purpose of this invention is to provide an online monitoring method and system for catering industry fumes, which overcomes the shortcomings of traditional monitoring methods and provides strong support for environmental management in the catering industry, thereby solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: an online monitoring method for cooking fumes in the catering industry, comprising the following steps:

[0006] The system utilizes sensor modules to collect real-time data on oil fume concentration, particulate matter concentration, non-methane total hydrocarbon concentration, current data from the fan, purifier, and water pump, as well as water pump flow rate data from the exhaust duct. The collected data is transmitted to a data processing unit centered on a microcontroller. This unit processes and analyzes the data and compares it with preset alarm thresholds. If the comparison value exceeds the limit and falls within a set operating time period, an alarm mechanism is triggered, emitting alarm signals via a buzzer and display screen, and outputting a passive I / O closing signal to force the purifier to start. Simultaneously, the data processing unit stores the processed data in its built-in memory. The processed data is then uploaded to a monitoring platform for remote real-time monitoring.

[0007] Preferably, the data processing unit is used to process and analyze the data and compare it with a preset alarm threshold, including:

[0008] Receive raw data streams from sensor modules and store each pollutant concentration and equipment operating status parameter in different buffers according to type;

[0009] Standardization is performed on the data in each buffer to adjust the numerical range to eliminate range differences between different sensors, so that all data are within the same reference frame;

[0010] Based on standard data, each item is compared with the corresponding preset alarm threshold in real time. Once a data item is found to exceed its corresponding threshold, the data item is immediately marked and a further inspection process is initiated to confirm whether an alarm needs to be triggered.

[0011] When the tagged data is verified to require a response, the alarm signal generation process is activated, and an alarm notification is sent through the interface connected to the display control module.

[0012] Preferably, if the comparison value exceeds the limit and falls within a set working time period, an alarm mechanism is triggered, including:

[0013] When the data processing unit detects that the concentration of a pollutant or the operating parameter of an equipment exceeds a preset threshold, the system will record the current timestamp and check whether the current time falls within the user's preset working time period; if the current time is outside the working time period, the alarm process will be temporarily suspended until the working time period begins.

[0014] Once it is confirmed that the current time is within the working period, the system will immediately initiate an internal verification process to eliminate the possibility of false alarms by cross-comparing the most recent data readings; if the most recent data readings all consistently show that the data exceeds the limit, then it is determined to be a valid exceeding event.

[0015] Based on the verification results, once the event exceeding the standard is confirmed, the system will immediately activate the alarm signal, sound an alarm through the buzzer, display the specific information on the exceeding standard and suggested measures on the display screen, and send a notification to the monitoring platform.

[0016] Preferably, an alarm signal is emitted via a buzzer and a display screen, and a passive I / O closing signal is output to force the purifier to turn on, including:

[0017] Once the system confirms that the event exceeds the limit, it first activates the internal alarm triggering unit, which is directly connected to the buzzer and the display screen. Once the start command is received, the buzzer will immediately emit a continuous sound alarm, and at the same time, a conspicuous warning message will be displayed on the display screen.

[0018] The system will automatically check the current working status of the purifier; if it detects that the purifier is not in working mode, the system will send a control signal to the relay control unit. After receiving the signal, the relay control unit will respond quickly and switch the internal circuit state.

[0019] Based on relay state switching, a passive I / O closing signal is generated and transmitted to the purifier's start-up interface.

[0020] Preferably, the data processed by the data processing unit is uploaded to the monitoring platform, including:

[0021] After the data processing unit completes the standardization and analysis of the data collected by various sensors, it will encapsulate the processed data into a data packet.

[0022] The data packet is sent to the communication preparation unit, which checks the network connection status and ensures that the communication channel with the target monitoring platform is unobstructed. If network instability or interruption is detected, the communication preparation unit will temporarily store the data packet and send it first after the connection is restored.

[0023] Once the network connection is confirmed to be normal, data packets will be transmitted to the monitoring platform through the selected communication interface;

[0024] Upon receiving a successfully sent data packet, the monitoring platform immediately parses and records the information; simultaneously, the monitoring platform sends a reception confirmation signal back to the sender.

[0025] Preferred, remote real-time monitoring includes:

[0026] Once a data packet is successfully sent to the monitoring platform through the selected communication interface, the receiving end will perform a preliminary verification of each arriving data packet.

[0027] Based on the verification results, if the data packet is verified to be correct and the transmission delay is within an acceptable range, the information in the data packet is decoded and converted into a visual format;

[0028] Based on the visualized data, the system will automatically perform a data synchronization operation; once an anomaly is detected, the system will initiate a data correction process.

[0029] Using the corrected data, the system will automatically generate periodic reports on the monitoring platform.

[0030] On the other hand, the present invention proposes an online monitoring system for cooking fumes in the catering industry, comprising:

[0031] The sensor module is used to detect the concentration of oil fumes, particulate matter, non-methane total hydrocarbons, current signals of fans, purifiers and water pumps, liquid level status of waste oil collection tanks and water pump flow rate in the exhaust duct.

[0032] A data processing unit, connected to the sensor module, is used to receive and process the collected data, and compare the processing result with a preset alarm threshold.

[0033] An alarm control unit, connected to the data processing unit, triggers an alarm signal when an exceedance is detected and the device is within a set working time period, and outputs a passive I / O closing signal to force the purification equipment to start.

[0034] A storage module, connected to the data processing unit, is used to store data during the processing.

[0035] A communication module, connected to the data processing unit, is used to upload the processed data to a remote monitoring platform.

[0036] The display interaction unit, connected to the data processing unit, is used to display operating status information and alarm prompts.

[0037] Preferably, the data processing unit includes:

[0038] The buffer partitioning module is used to store different types of sensor data in their respective buffer areas.

[0039] A standardization processing module, connected to the buffer partitioning module, is used to adjust the numerical range of various types of data so that they are within a unified reference framework.

[0040] The real-time comparison module is connected to the standardization processing module and is used to compare the processed data with their respective alarm thresholds one by one, and mark the corresponding data after an anomaly is detected.

[0041] The alarm confirmation module, connected to the real-time comparison module, is used to verify the validity of the marked data and determine whether to activate the alarm process.

[0042] Preferably, the alarm control unit includes:

[0043] The time judgment module is used to record the current timestamp when data exceeds the limit and to determine whether it is within the user-defined working time period.

[0044] The verification execution module is connected to the time judgment module. After confirming that it is within the working period, it verifies the authenticity of the exceeding event by comparing several consecutive measurement values.

[0045] The alarm output module is connected to the verification execution module. After confirming that the exceedance is true, it drives the buzzer to emit an audible alarm, the display screen to pop up a warning message, and sends a notification to the monitoring platform.

[0046] The air purifier control module is connected to the alarm output module and is used to output a passive I / O closure signal to force the air purifier to start.

[0047] Preferably, the communication module includes:

[0048] The data encapsulation unit is used to package the processed data in a fixed format and add timestamps and serial numbers;

[0049] A network status checking unit, connected to the data encapsulation unit, is used to detect network connection status and cache data packets in case of abnormality.

[0050] The data transmission unit is connected to the network status inspection unit and is used to send data packets to the monitoring platform via a 4G IoT interface or an RS485 interface.

[0051] The feedback receiving unit, connected to the data transmission unit, is used to receive the confirmation signal returned by the platform and resend the data packet if no confirmation is received.

[0052] Technical effects and advantages of the present invention: The online monitoring method and system for catering industry fumes proposed in this invention have the following advantages compared with the prior art:

[0053] This invention integrates multiple sensors (such as sensors for detecting oil fume concentration, particulate matter concentration, and non-methane total hydrocarbon concentration, as well as current transformers and flow meter sensors for monitoring the operating status of fans, purifiers, and water pumps) to achieve comprehensive and real-time monitoring of pollutants emitted by catering enterprises. This method not only accurately measures the concentration of various pollutants but also effectively monitors the operating status of related equipment, ensuring normal equipment operation and preventing environmental pollution caused by equipment malfunctions or improper operation. When a pollutant concentration is detected to exceed the standard within a set operating time period, the system automatically triggers an alarm mechanism, issuing an alarm through a buzzer and display screen, and outputting a passive I / O closing signal to force the purifier to start, thereby rapidly reducing pollutant emissions. Furthermore, the processed data is uploaded to a monitoring platform, enabling remote real-time monitoring and significantly improving the work efficiency and response speed of environmental regulatory departments. This method overcomes the shortcomings of traditional monitoring methods and provides strong support for environmental management in the catering industry. Attached Figure Description

[0054] Figure 1 This is a flowchart of the online monitoring method for cooking fumes in the catering industry according to the present invention;

[0055] Figure 2 This is a block diagram of the online monitoring system for cooking fumes in the catering industry according to the present invention. Detailed Implementation

[0056] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0057] This invention provides, for example Figure 1 The method for online monitoring of cooking fumes in the catering industry, as shown, includes the following steps:

[0058] Step 1: Provide a sensor module, which includes a sensor for detecting the concentration of oil fumes in the exhaust duct, a sensor for monitoring particulate matter concentration, a sensor for detecting the concentration of non-methane total hydrocarbons, a current transformer for acquiring current signals from the fan, purifier, and water pump, a level sensor for detecting the liquid level in the waste oil collection tank, and a flow meter sensor for monitoring the flow rate of the water pump; all data collected by the sensors are output in the form of analog voltage signals or digital signals, and transmitted to the data processing unit with the microcontroller as the core through an analog-to-digital converter circuit or a communication interface.

[0059] Step 2: Use sensor modules to collect real-time data on oil fume concentration, particulate matter concentration, non-methane total hydrocarbon concentration, current data of the fan, purifier, and water pump, as well as water pump flow rate data in the exhaust duct.

[0060] Step 3: The collected data is transmitted to a data processing unit with a microcontroller as its core. This data processing unit processes and analyzes the data and compares it with preset alarm thresholds; specifically, it includes:

[0061] The system receives raw data streams from the sensor modules and stores each type of pollutant concentration and equipment operating status parameter in different buffers. For example: Buffer A stores oil fume concentration data; Buffer B stores particulate matter concentration data; Buffer C stores non-methane total hydrocarbon concentration data; Buffer D stores equipment current data; and Buffer E stores water pump flow rate data.

[0062] Perform a standardization operation on the data in each buffer, adjusting the numerical range to eliminate range differences between different sensors, so that all data are within the same reference frame;

[0063] Standardized formula: Where: X represents the currently collected value; This indicates the minimum measurable value for this type of sensor; This represents the minimum value after standardization (e.g., 0); W is the dynamic weighting coefficient, calculated as follows: ,in This represents the maximum measurable value for this type of sensor. This formula dynamically adjusts the weight W to make the data from different sensors more comparable after standardization.

[0064] Based on standard data, each item is compared with the corresponding preset alarm threshold in real time. Once a data item is found to exceed its corresponding threshold, the data item is immediately marked and a further inspection process is initiated to confirm whether an alarm needs to be triggered.

[0065] When the tagged data is verified to indeed require a response, the alarm signal generation process is activated, and an alarm notification is sent through the interface connected to the display control module. Specifically, to prevent false alarms, the system introduces a verification formula based on a time window: ,in: The label result (0 or 1) for the j-th measurement; This is the timestamp of the j-th measurement; This is the current timestamp. If S exceeds the preset verification threshold... If so, the alarm process will be activated.

[0066] Step 4: If the comparison value exceeds the limit and falls within the set working time period, an alarm mechanism is triggered. An alarm signal is emitted through the buzzer and display screen, and a passive I / O closing signal is output to force the purifier to turn on. At the same time, the data processing unit stores the processed data in the built-in memory; specifically including:

[0067] When the data processing unit detects that the concentration of a pollutant or the operating parameter of an equipment exceeds a preset threshold, the system will record the current timestamp and check whether the current time falls within the user's preset working time period; if the current time is outside the working time period, the alarm process will be temporarily suspended until the working time period begins.

[0068] After confirming that the current time falls within the working hours, the system will immediately initiate an internal verification process, cross-referencing recent data readings to rule out false alarms. If the recent data readings consistently show exceedances, the event is determined to be a valid exceedance. Specifically, this includes:

[0069] The system retrieves the most recent N historical data points and calculates their weighted average. : ,in: This is the value of the j-th measurement; This is the time decay weight. If the current value... and If the difference Δ exceeds the set deviation threshold D, it is considered a real out-of-range event.

[0070] Based on the verification results, once the exceedance event is confirmed, the system immediately activates the alarm signal, emitting an audible alarm via a buzzer, displaying specific exceedance information and suggested measures on the screen, and simultaneously sending a notification to the monitoring platform. For example, upon confirmation of an exceedance, the system activates the buzzer to emit an audible alarm and displays specific exceedance information on the screen, such as "Fume concentration: 18.5 mg / m³ (threshold: 15 mg / m³)". Simultaneously, a notification is sent to the monitoring platform.

[0071] Once the system confirms that the event exceeds the limit, it first activates the internal alarm triggering unit, which is directly connected to the buzzer and the display screen. Once the start command is received, the buzzer will immediately emit a continuous sound alarm, and at the same time, a conspicuous warning message will be displayed on the display screen.

[0072] The system will automatically check the current operating status of the air purifier. If it detects that the purifier is not in operating mode, the system will send a control signal to the relay control unit. Upon receiving the signal, the relay control unit will quickly respond and switch its internal circuit state. Based on the relay state switch, a passive I / O closing signal is generated and transmitted to the purifier's startup interface. Specifically, if the purifier is not turned on, the system generates a control signal based on the severity of the exceedance. : Where: K is the proportional coefficient (preset value); Δ is the current exceeding value; T is the preset threshold. The higher the value, the stronger the air purifier needs to be. The system determines this based on... The size determines whether the air purifier should be turned on.

[0073] Step 5: Upload the processed data from the data processing unit to the monitoring platform to achieve remote real-time monitoring; specifically including:

[0074] After the data processing unit completes the standardization and analysis of the data collected by various sensors, it encapsulates the processed data into a data packet and sends the data packet to the communication preparation unit. The communication preparation unit checks the network connection status and ensures that the communication channel with the target monitoring platform is unobstructed. If network instability or interruption is detected, the communication preparation unit will temporarily store the data packet and send it first after the connection is restored.

[0075] Once the network connection is confirmed to be normal, the data packet will be transmitted to the monitoring platform through the selected communication interface. Based on the successfully sent data packet, the monitoring platform will immediately parse and record the received information. At the same time, the monitoring platform will send a reception confirmation signal back to the sending end.

[0076] Once a data packet is successfully sent to the monitoring platform through the selected communication interface, the receiving end will perform a preliminary verification of each arriving data packet. Based on the verification results, if the data packet is verified to be correct and the transmission delay is within an acceptable range, the information in the data packet will be decoded and converted into a visual format. Based on the visualized data, the system will automatically perform a data synchronization operation. Once an anomaly is detected, the system will initiate a data correction process. Using the corrected data, the system will automatically generate periodic reports on the monitoring platform.

[0077] On the other hand, the invention proposes an online monitoring system for cooking fumes in the catering industry, such as... Figure 2 As shown, it includes:

[0078] The sensor module is used to detect the concentration of oil fumes, particulate matter, non-methane total hydrocarbons, current signals of fans, purifiers and water pumps, liquid level status of waste oil collection tanks and water pump flow rate in the exhaust duct.

[0079] A data processing unit, connected to the sensor module, is used to receive and process the collected data, and compare the processing result with a preset alarm threshold.

[0080] An alarm control unit, connected to the data processing unit, triggers an alarm signal when an exceedance is detected and the device is within a set working time period, and outputs a passive I / O closing signal to force the purification equipment to start.

[0081] A storage module, connected to the data processing unit, is used to store data during the processing.

[0082] A communication module, connected to the data processing unit, is used to upload the processed data to a remote monitoring platform.

[0083] The display interaction unit, connected to the data processing unit, is used to display operating status information and alarm prompts.

[0084] Furthermore, the data processing unit includes:

[0085] The buffer partitioning module is used to store different types of sensor data in their respective buffer areas.

[0086] A standardization processing module, connected to the buffer partitioning module, is used to adjust the numerical range of various types of data so that they are within a unified reference framework.

[0087] The real-time comparison module is connected to the standardization processing module and is used to compare the processed data with their respective alarm thresholds one by one, and mark the corresponding data after an anomaly is detected.

[0088] The alarm confirmation module, connected to the real-time comparison module, is used to verify the validity of the marked data and determine whether to activate the alarm process.

[0089] Furthermore, the alarm control unit includes:

[0090] The time judgment module is used to record the current timestamp when data exceeds the limit and to determine whether it is within the user-defined working time period.

[0091] The verification execution module is connected to the time judgment module. After confirming that it is within the working period, it verifies the authenticity of the exceeding event by comparing several consecutive measurement values.

[0092] The alarm output module is connected to the verification execution module. After confirming that the exceedance is true, it drives the buzzer to emit an audible alarm, the display screen to pop up a warning message, and sends a notification to the monitoring platform.

[0093] The air purifier control module is connected to the alarm output module and is used to output a passive I / O closure signal to force the air purifier to start.

[0094] Furthermore, the communication module includes:

[0095] The data encapsulation unit is used to package the processed data in a fixed format and add timestamps and serial numbers;

[0096] A network status checking unit, connected to the data encapsulation unit, is used to detect network connection status and cache data packets in case of abnormality.

[0097] The data transmission unit is connected to the network status inspection unit and is used to send data packets to the monitoring platform via a 4G IoT interface or an RS485 interface.

[0098] The feedback receiving unit, connected to the data transmission unit, is used to receive the confirmation signal returned by the platform and resend the data packet if no confirmation is received.

[0099] In addition, the above modules are also used to implement other steps of the above-mentioned online monitoring method for catering industry fumes, which will not be elaborated here.

[0100] In summary, this invention achieves comprehensive and real-time monitoring of pollutants emitted by catering enterprises by integrating multiple sensors (such as sensors for detecting oil fume concentration, particulate matter concentration, and non-methane total hydrocarbon concentration, as well as current transformers and flow meter sensors for monitoring the operating status of fans, purifiers, and water pumps).

[0101] This method can not only accurately measure the concentration of various pollutants, but also effectively monitor the operating status of related equipment, ensuring normal equipment operation and avoiding environmental pollution caused by equipment failure or improper operation. When the concentration of a certain pollutant is detected to exceed the standard within the set working time period, the system will automatically trigger an alarm mechanism, issuing an alarm through a buzzer and display screen, and outputting a passive I / O closing signal to force the purifier to turn on, thereby rapidly reducing pollutant emissions.

[0102] Furthermore, the processed data is uploaded to a monitoring platform, enabling remote real-time monitoring and significantly improving the efficiency and response speed of environmental regulatory departments. This method overcomes the shortcomings of traditional monitoring methods and provides strong support for environmental management in the catering industry.

[0103] Improving monitoring efficiency means data transmission latency ≤1 second, alarm response speed increased by 50%, and equipment maintenance and sensor calibration cycles ≥6 months. This invention is applicable to exhaust ducts in small and medium-sized restaurants with pipe diameters of 100-300mm. Furthermore, in cases of abnormal situation handling, during network interruptions, local storage capacity >100,000 data entries are maintained, and data is automatically re-uploaded upon connection restoration.

[0104] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for online monitoring of cooking fumes in the catering industry, characterized in that, Includes the following steps: The sensor module is used to collect real-time data on oil fume concentration, particulate matter concentration, non-methane total hydrocarbon concentration, current data of fans, purifiers and water pumps, and water pump flow rate data in the exhaust duct. The collected data is transmitted to a data processing unit with a microcontroller as its core. The data processing unit is used to process and analyze the data and compare it with a preset alarm threshold. If the comparison value exceeds the limit and falls within the set working time period, an alarm mechanism is triggered, an alarm signal is emitted through a buzzer and display screen, and a passive I / O closing signal is output to force the purifier to turn on. At the same time, the data processing unit stores the processed data in the built-in memory. The data processed by the data processing unit is uploaded to the monitoring platform to achieve remote real-time monitoring.

2. The method according to claim 1, characterized in that, The data processing unit is used to process and analyze data and compare it with preset alarm thresholds, including: Receive raw data streams from sensor modules and store each pollutant concentration and equipment operating status parameter in different buffers according to type; Standardization is performed on the data in each buffer to adjust the numerical range to eliminate range differences between different sensors, so that all data are within the same reference frame; Based on standard data, each item is compared with the corresponding preset alarm threshold in real time. Once a data item is found to exceed its corresponding threshold, the data item is immediately marked and a further inspection process is initiated to confirm whether an alarm needs to be triggered. When the tagged data is verified to require a response, the alarm signal generation process is activated, and an alarm notification is sent through the interface connected to the display control module.

3. The method according to claim 1, characterized in that, If the comparison value exceeds the limit and falls within the set working time period, an alarm mechanism will be triggered, including: When the data processing unit detects that the concentration of a pollutant or the operating parameter of an equipment exceeds a preset threshold, the system will record the current timestamp and check whether the current time falls within the user's preset working time period; if the current time is outside the working time period, the alarm process will be temporarily suspended until the working time period begins. Once it is confirmed that the current time is within the working period, the system will immediately initiate an internal verification process to eliminate the possibility of false alarms by cross-comparing the most recent data readings; if the most recent data readings all consistently show that the data exceeds the limit, then it is determined to be a valid exceeding event. Based on the verification results, once the event exceeding the standard is confirmed, the system will immediately activate the alarm signal, sound an alarm through the buzzer, display the specific information on the exceeding standard and suggested measures on the display screen, and send a notification to the monitoring platform.

4. The method according to claim 1, characterized in that, An alarm signal is emitted via a buzzer and display screen, and a passive I / O closing signal is output to force the air purifier to turn on, including: Once the system confirms that the event exceeds the limit, it first activates the internal alarm triggering unit, which is directly connected to the buzzer and the display screen. Once the start command is received, the buzzer will immediately emit a continuous sound alarm, and at the same time, a conspicuous warning message will be displayed on the display screen. The system will automatically check the current working status of the purifier; if it detects that the purifier is not in working mode, the system will send a control signal to the relay control unit. After receiving the signal, the relay control unit will respond quickly and switch the internal circuit state. Based on relay state switching, a passive I / O closing signal is generated and transmitted to the purifier's start-up interface.

5. The method according to claim 1, characterized in that, The data processed by the data processing unit is uploaded to the monitoring platform, including: After the data processing unit completes the standardization and analysis of the data collected by various sensors, it will encapsulate the processed data into a data packet. The data packet is sent to the communication preparation unit, which checks the network connection status and ensures that the communication channel with the target monitoring platform is unobstructed. If network instability or interruption is detected, the communication preparation unit will temporarily store the data packet and send it first after the connection is restored. Once the network connection is confirmed to be normal, data packets will be transmitted to the monitoring platform through the selected communication interface; Upon receiving a successfully sent data packet, the monitoring platform immediately parses and records the information; simultaneously, the monitoring platform sends a reception confirmation signal back to the sender.

6. The method according to claim 1, characterized in that, Remote real-time monitoring, including: Once a data packet is successfully sent to the monitoring platform through the selected communication interface, the receiving end will perform a preliminary verification of each arriving data packet. Based on the verification results, if the data packet is verified to be correct and the transmission delay is within an acceptable range, the information in the data packet is decoded and converted into a visual format; Based on the visualized data, the system will automatically perform a data synchronization operation; once an anomaly is detected, the system will initiate a data correction process. Using the corrected data, the system will automatically generate periodic reports on the monitoring platform.

7. A catering industry oil fume online monitoring system for implementing the method as described in any one of claims 1-6, characterized in that, include: The sensor module is used to detect the concentration of oil fumes, particulate matter, non-methane total hydrocarbons, current signals of fans, purifiers and water pumps, liquid level status of waste oil collection tanks and water pump flow rate in the exhaust duct. A data processing unit, connected to the sensor module, is used to receive and process the collected data, and compare the processing result with a preset alarm threshold. An alarm control unit, connected to the data processing unit, triggers an alarm signal when an exceedance is detected and the device is within a set working time period, and outputs a passive I / O closing signal to force the purification equipment to start. A storage module, connected to the data processing unit, is used to store data during the processing. A communication module, connected to the data processing unit, is used to upload the processed data to a remote monitoring platform. The display interaction unit, connected to the data processing unit, is used to display operating status information and alarm prompts.

8. The system according to claim 7, characterized in that, The data processing unit includes: The buffer partitioning module is used to store different types of sensor data in their respective buffer areas. A standardization processing module, connected to the buffer partitioning module, is used to adjust the numerical range of various types of data so that they are within a unified reference framework. The real-time comparison module is connected to the standardization processing module and is used to compare the processed data with their respective alarm thresholds one by one, and mark the corresponding data after an anomaly is detected. The alarm confirmation module, connected to the real-time comparison module, is used to verify the validity of the marked data and determine whether to activate the alarm process.

9. The system according to claim 7, characterized in that, The alarm control unit includes: The time judgment module is used to record the current timestamp when data exceeds the limit and to determine whether it is within the user-defined working time period. The verification execution module is connected to the time judgment module. After confirming that it is within the working period, it verifies the authenticity of the exceeding event by comparing several consecutive measurement values. The alarm output module is connected to the verification execution module. After confirming that the exceedance is true, it drives the buzzer to emit an audible alarm, the display screen to pop up a warning message, and sends a notification to the monitoring platform. The air purifier control module is connected to the alarm output module and is used to output a passive I / O closure signal to force the air purifier to start.

10. The system according to claim 7, characterized in that, The communication module includes: The data encapsulation unit is used to package the processed data in a fixed format and add timestamps and serial numbers; A network status checking unit, connected to the data encapsulation unit, is used to detect network connection status and cache data packets in case of abnormality. The data transmission unit is connected to the network status inspection unit and is used to send data packets to the monitoring platform via a 4G IoT interface or an RS485 interface. The feedback receiving unit, connected to the data transmission unit, is used to receive the confirmation signal returned by the platform and resend the data packet if no confirmation is received.

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