A smart kitchen exhaust system

Abstract

This invention relates to F24 15 / 20, specifically to an intelligent kitchen fume extraction system. The intelligent kitchen fume extraction system includes a stove, a fume hood, a temperature sensor, a main control unit, a frequency converter, an electric fume extraction regulating valve, a fan unit, an electric air conditioning fresh air regulating valve, an air conditioning fan, and a power supply for the main control unit. The intelligent kitchen fume extraction system provided by this invention facilitates data monitoring by staff, improves kitchen ventilation while achieving high efficiency and energy saving. Furthermore, through the coordinated operation of multiple modules, this invention enhances kitchen comfort and effectively prevents malfunctions, ensuring stability and reliability.

Description

Technical Field

[0001] This invention relates to F24 15 / 20, and more specifically to an intelligent kitchen exhaust system. Background Technology

[0002] A survey of hotel catering systems shows that while catering areas account for only about 8% of the total building area of ​​hotels in my country, they consume an average of 53% of the total energy consumption throughout the catering service process. Their average annual energy costs account for 41% of the total energy costs and 20% of total catering revenue. The kitchen area alone accounts for about 70% of the energy consumption in the catering service, making its energy consumption a primary target for effective energy conservation efforts.

[0003] Patent CN201710439820.4 provides a low-cost fume control system and method for commercial kitchens, which automatically adjusts the exhaust volume and the make-up air volume of the air supply fan according to the number of fume hoods that are open, achieving excellent energy-saving and environmental protection effects.

[0004] Patent CN201910419747.3 provides an intelligent oil fume purification system that uses multiple terminals and flues, and relies on oil fume detectors to detect the oil fume content. The system processes the oil fume through an electrostatic oil fume purifier, a main fan, and a central processor, ensuring effective extraction while avoiding energy waste.

[0005] However, the emission of cooking fumes is not only related to the number of fume hoods, but also to other factors. Existing ventilation and fume extraction technologies are often not flexible enough and ignore other factors, resulting in the incomplete removal of cooking fumes from the kitchen. This leads to low energy utilization of the fans, which in turn results in poor energy-saving effects. Summary of the Invention

[0006] To address the aforementioned technical problems, the first aspect of this invention provides an intelligent kitchen fume extraction system, comprising a stove, a fume hood, a temperature sensor, a main control unit, a frequency converter, an electric fume extraction regulating valve, a fan unit, an electric air conditioning fresh air regulating valve, an air conditioning fan, and a main control unit power supply.

[0007] The stove is used for cooking food.

[0008] Preferably, the number of stoves is 1 ≤ number of stoves ≤ 70.

[0009] The exhaust hood is used to reduce the impact of backdraft on the combustion performance of the stove and to facilitate the escape of flue gas when the exhaust and flue are blocked.

[0010] The temperature sensor is used to test the temperature.

[0011] Preferably, the temperature sensor includes a chip.

[0012] The main control unit is used to calculate and store various data of the fume extraction system and control the normal operation of the entire fume extraction system.

[0013] Preferably, the main controller has a built-in core chip.

[0014] Preferably, the main control unit is a touch screen type.

[0015] Preferably, the main controller includes an air volume module, an adjustment module, an air pressure module, a stability module, a deep learning module, a virtual simulation module, a multi-fan linkage control module, a self-learning module, and an alert module.

[0016] The airflow module is used to set the maximum exhaust volume for each exhaust duct, monitor the airflow data of the main and secondary exhaust ducts, and control the usage of each duct. When an exhaust duct is not fully utilized, the system will prioritize increasing the exhaust volume of the ducts currently in use and reallocate the airflow from unused ducts to those in use to improve user experience. Simultaneously, the maximum exhaust volume for each duct is set to prevent the increased airflow from affecting the duct's lifespan.

[0017] The adjustment module is used to adjust the priority order of the number and power of the fan units and air conditioning fans to ensure that the fresh air supply is balanced and that the kitchen is always under negative pressure.

[0018] Preferably, the adjustment module includes a priority module and a synchronization module.

[0019] The priority module is used to monitor changes in kitchen temperature, humidity, and exhaust volume through modules such as ambient temperature sensors and air volume modules. Based on the preferred order, it first calculates the number of fan units and air conditioning fans to be turned on, and then adjusts the power of the fan units and air conditioning fans to ensure that the most important parts of the kitchen receive fresh air first.

[0020] The synchronization module controls the air supply volume of the air conditioner fan to ensure a balanced supply of fresh air to the kitchen. Simultaneously, it calculates the negative pressure value of the kitchen using a fresh air coefficient to ensure the kitchen remains under negative pressure at all times.

[0021] The air pressure module is used to calculate the air pressure of the fan unit and air conditioner fan, as well as the air pressure in the duct. Together with the adjustment module and air volume module, it adjusts the air pressure curve to compensate for discrepancies based on the air volume measured per Hz of frequency conversion, ensuring that each Hz adjustment fully meets the user's expected air volume experience in terms of efficiency. Simultaneously, it records the corresponding current changes and compares them with the original values ​​to monitor whether the fan unit and air conditioner fan are operating normally.

[0022] Preferably, the wind pressure module includes a curve calculation module, a static wind pressure module, and a dynamic wind pressure module.

[0023] The curve calculation module records the corresponding current changes and compares them with the original values ​​to obtain the effective value of the periodic component of the short-circuit current at any time after the short circuit occurs, thereby monitoring whether the fan units and air conditioning fans are operating normally. If an abnormal current change occurs, the operator will be alerted through the reminder module.

[0024] The static wind pressure module is used to monitor and calculate the wind pressure required to overcome pipeline resistance.

[0025] The dynamic wind pressure module is used to monitor and calculate the wind pressure when driving the oil fume exhaust pipe.

[0026] The stability module amplifies the calculations corresponding to the temperature sensor, ambient temperature sensor, and airflow valve to the maximum when sensors and airflow valves malfunction, ensuring the user experience remains unaffected. This guarantees normal kitchen ventilation even if all sensors and airflow valves are damaged. Simultaneously, the fault information is alerted to operations personnel and notified to all shops via the notification module.

[0027] The deep learning module automatically adjusts algorithm parameters based on user habits. It also automatically records the temperature and temperature difference values ​​of each sensor during emergency situations. If the temperature and temperature difference values ​​reach the emergency standard again, the system automatically activates an enhanced emergency response. Furthermore, the system uses user actions to determine the next required increase in airflow to prevent accidents.

[0028] The virtual simulation module is used to calculate and allocate cooking points between two airflow valves. Theoretically, one cooking device can correspond to multiple airflow valves. In addition, this invention further distributes the airflow of one airflow valve to multiple cooking devices and executes the opening angle action according to actual needs through an algorithm. This allows the exhaust system to ensure optimal comfort for kitchen staff under any complex kitchen conditions and in any state, while also improving energy efficiency.

[0029] like Figure 8 As shown, the cooking point between the two electric airflow valves is divided into two different sets of exhaust volumes. For example, cooking point 1 in the diagram is divided into sensor 1 and virtual sensor 3. During operation, sensor 1 measures the cooking temperature and simultaneously copies it to virtual sensor 3. The airflow at cooking point 1 is then distributed as needed to sensor 1 and virtual sensor 3. Cooking point 1 corresponds to airflow valve 1, and virtual sensor 3 corresponds to airflow valve 2. When cooking device 1 starts operating, the virtual simulation module performs calculations through sensor 1 and virtual sensor 3, and the corresponding airflow valves 1 and 2 open to the required angles based on the calculation results.

[0030] like Figure 9 As shown, the multi-fan linkage control module can combine several kitchens into a single multi-fan parallel system. When there is limited demand, based on data collected by sensors, the system calculates the dynamic efficiency of the fan units and air conditioning fans, and precisely controls the number and frequency conversion efficiency of the fan units and air conditioning fans, adjusting the number of fans and frequency conversion according to actual needs. This satisfies the standard design's distinction between functionality and usage time, while also featuring high energy efficiency, intelligent control, and reduced exhaust duct area, simplifying design work and enhancing user experience.

[0031] With user consent, the self-learning module can analyze sensor data, automatically slightly increasing the airflow for frequently used cooking equipment and slightly decreasing the airflow for less frequently used equipment. It also analyzes and calculates runtime data to track and analyze the usage of cooking equipment, simulating usage patterns through algorithms and providing maintenance analysis to the user. Simultaneously, it analyzes and calculates all data from the exhaust system's operation, simulating restaurant operational data and the usage rate of each stove for data-driven restaurant management.

[0032] The reminder module is used to remind users of malfunctions, cleaning, and maintenance of equipment such as air conditioning fans, air ducts, fume purifiers, and fume exhaust fans used in the process of exhausting oil fumes.

[0033] The frequency converter is used to control the operating power of the fan unit and air conditioning fan according to actual needs, thereby improving energy efficiency.

[0034] The electric regulating valve for exhaust fumes is used to control the opening degree of the air volume valve.

[0035] Preferably, the electric regulating valve for exhaust fumes includes a chip.

[0036] Preferably, the electric regulating valve for exhaust fumes is an analog type. The analog type electric regulating valve can control the opening of the airflow valve via the main controller, based on the required exhaust volume and the amount of exhaust fumes, thereby improving energy efficiency.

[0037] Preferably, the number of the electric exhaust valves is 1 ≤ 70.

[0038] The fan unit is used to extract and purify the oil fumes and then discharge them.

[0039] Preferably, the fan unit includes an exhaust fan and an oil fume purifier.

[0040] The exhaust fan regulates the air pressure in the duct, extracts the fumes from the kitchen, and transmits them to the fume purifier. After purification by the purifier, the purified fumes are then extracted and discharged from the well.

[0041] The fume purifier is used to adsorb and purify harmful substances such as oil fume factors in kitchen fumes.

[0042] Preferably, the number of wind turbine units is 1 ≤ number of wind turbine units ≤ 3.

[0043] Preferably, the fan unit includes an exhaust fan and an oil fume purifier.

[0044] The air conditioning fresh air electric regulating valve is used to control the opening degree of the air conditioning fan.

[0045] Preferably, the air conditioning fresh air electric regulating valve includes a chip.

[0046] Preferably, the air conditioning fresh air electric regulating valve is an analog type.

[0047] The air conditioning fan is used to facilitate the circulation and exchange of air between the kitchen and the outside, and it also plays a role in purifying the air. By expelling stale air from the kitchen to the outside through the air conditioning fan, a pressure difference is created between the inside and outside of the kitchen, completing the air exchange with the outside air, freshening the air, ensuring that the kitchen has clean and fresh air, and improving the working comfort of kitchen staff.

[0048] Preferably, the number of air conditioning fans is 1 ≤ number of air conditioning fans ≤ 3.

[0049] The main control unit power supply is used to provide power to the main control unit.

[0050] Preferably, the intelligent kitchen exhaust system also includes an ambient temperature sensor and an electric water flow regulating valve.

[0051] The ambient temperature sensor is used to measure the temperature and humidity in the kitchen and assists the priority module in the main control unit to calculate the optimal order for turning on the fan unit and the air conditioner fan, ensuring that the most important part of the kitchen receives fresh air first.

[0052] Preferably, the ambient temperature sensor includes a chip.

[0053] Preferably, the ambient temperature sensor is a temperature and humidity type. This type of sensor can simultaneously acquire kitchen temperature and humidity signals.

[0054] Preferably, the number of ambient temperature sensors is 1 ≤ 5.

[0055] The electric water flow regulating valve is used to control the valve opening degree through an ambient temperature sensor. If the temperature rises, the valve opens wider; otherwise, it closes lower.

[0056] Preferably, the electric water flow regulating valve includes a chip.

[0057] Preferably, the electric water flow regulating valve is an analog type.

[0058] Preferably, the intelligent kitchen fume extraction system also includes a temperature control module. The temperature control module assists the fan unit and air conditioning fan in controlling the kitchen temperature to prevent accidents caused by excessively high kitchen temperatures.

[0059] Preferably, the intelligent kitchen fume extraction system also includes a network connection port. This allows for the automatic uploading of wireless network data, meeting the data and feedback needs of the main control unit.

[0060] Preferably, the intelligent kitchen exhaust system is also equipped with an on / off switch, an off switch, and an emergency switch.

[0061] Preferably, the intelligent kitchen exhaust system adopts a network design with a network bus length of ≤1000M.

[0062] Preferably, the power cord for the electric regulating valve of the intelligent kitchen exhaust system is a BVVB 2.5*3.

[0063] The second aspect of the present invention provides an application of an intelligent kitchen fume extraction system in the field of kitchen fume extraction technology.

[0064] Beneficial effects:

[0065] This invention employs chip management technology to collect sensor data from cooking equipment, and builds a complete and massive data model through the cooperation of various modules in the main control unit. Furthermore, by integrating and controlling the frequency converter, fan, and variable air volume valve through the core module, the kitchen can always set the exhaust volume of individual equipment according to the user's needs and usage habits, and adjust the airflow according to the operating status to achieve optimal user experience and optimize fume extraction.

[0066] This invention compares the real-time usage efficiency of a kitchen by comparing sensors at individual cooking points with environmental sensors. It also calculates the efficiency impact of each stove, the changes in airflow valve control for each duct, and the frequency conversion control changes for each exhaust or fresh air unit. This allows for intelligent real-time allocation of fresh air supply based on kitchen temperature, humidity, and exhaust volume, minimizing energy consumption and ensuring the chef's experience is not compromised by energy saving. Ultimately, this achieves a truly intelligent energy-saving solution.

[0067] All data from this invention can be uploaded to the main control unit via a network connection port for analysis and processing. The system also analyzes all user equipment (including cooking equipment) to determine kitchen efficiency. Furthermore, it provides users with maintenance and upkeep plans to help them use the equipment more effectively and manage their operations better. Attached image description:

[0068] Figure 1 -Schematic diagram of a partial architecture of an intelligent kitchen fume extraction system;

[0069] Figure 2 -Schematic diagram of the main control unit;

[0070] Figure 3 - Flowchart of intelligent kitchen fume extraction system;

[0071] Figure 4 - A diagram showing the working status of each device in the kitchen when it has not been used for a certain period of time;

[0072] Figure 5 - A diagram showing the working status of each piece of equipment as cooking begins in the kitchen;

[0073] Figure 6 - A schematic diagram of the operating status of each device when the No. 1 air volume valve is working at full efficiency.

[0074] Figure 7 - A diagram showing the working status of each device when the entire kitchen is fully operational;

[0075] Figure 8 - Schematic diagram illustrating the working principle of the virtual simulation module;

[0076] Figure 9 - Schematic diagram of multi-fan linkage control module;

[0077] in, Figure 2 In the middle: 1-Main controller, 2-Temperature sensor, 3-Electric regulating valve for exhaust fumes, 4-Ambient temperature sensor, 5-Network connection port, 6-Variable frequency controller, 7-Exhaust fume fan, 8-Fume purifier, 9-Air conditioner fan, 10-Main controller power supply, 11-Exhaust hood, 12-Stove, 13-Electric water flow regulating valve, 14-Temperature control module, 15-Electric regulating valve for fresh air supply in air conditioning. Detailed Implementation

[0078] The present invention will now be described in detail through embodiments. It should be noted that the following embodiments are only for further illustration of the present invention and should not be construed as limiting the scope of protection of the present invention. Non-essential improvements and adjustments made by those skilled in the art based on the above description of the present invention still fall within the scope of protection of the present invention.

[0079] In addition, unless otherwise stated, all raw materials used are commercially available.

[0080] Example

[0081] Example 1

[0082] An intelligent kitchen fume extraction system includes a stove, a fume hood, a temperature sensor, a main control unit, a frequency converter, an electric fume extraction regulating valve, a fan unit, an electric air conditioning fresh air regulating valve, an air conditioning fan, and a main control unit power supply.

[0083] The number of stoves is 70.

[0084] The temperature sensor includes a chip.

[0085] The main control unit has a built-in core chip. The main control unit is a touch screen type.

[0086] The main control unit includes an airflow module, an adjustment module, an air pressure module, a stability module, a deep learning module, a virtual simulation module, a multi-fan linkage control module, a self-learning module, and an alert module. The adjustment module includes a priority module and a synchronization module. The air pressure module includes a curve calculation module, a static air pressure module, and a dynamic air pressure module.

[0087] The electric regulating valve for exhaust fumes includes a chip. The electric regulating valve for exhaust fumes is an analog type. The number of electric regulating valves for exhaust fumes is 70.

[0088] The fan unit includes an exhaust fan and an oil fume purifier. There are three fan units. Each fan unit includes one exhaust fan and one oil fume purifier.

[0089] The air conditioning fresh air electric regulating valve includes a chip. The air conditioning fresh air electric regulating valve is an analog type.

[0090] The number of air conditioning fans is 3.

[0091] The intelligent kitchen exhaust system also includes an ambient temperature sensor, an electric water flow regulating valve, a temperature control module, and a network connection port.

[0092] The ambient temperature sensor includes a chip. The ambient temperature sensor is a temperature and humidity type.

[0093] The electric water flow regulating valve includes a chip. The electric water flow regulating valve is an analog type.

[0094] The intelligent kitchen exhaust system is also equipped with an on / off switch, an off switch, and an emergency switch.

[0095] The intelligent kitchen exhaust system adopts a network design with a network bus length of 800M.

[0096] The power cord for the electric regulating valve of the intelligent kitchen exhaust system is BVVB 2.5*3.

[0097] Specifically: After the stove is turned on, the fume hood opens. The temperature data below the fume hood is measured by the temperature sensor and transmitted to the main control unit. The main control unit analyzes and calculates the opening angles of the air conditioner fan electric regulating valve and the fume exhaust electric regulating valve, as well as the frequency of the air conditioner fan and fan unit. Then, the main control unit controls the opening angles of the air conditioner fan electric regulating valve and the fume exhaust electric regulating valve, and controls the working frequency of the air conditioner fan and fan unit through the frequency converter to exhaust fumes and replace the air in the kitchen.

[0098] Meanwhile, the main control unit analyzes the temperature and humidity data of the kitchen measured by the ambient temperature sensor, controls the opening of the electric water flow regulating valve, and controls the temperature control module through the main control unit to keep the temperature and humidity of the kitchen within a certain range, thereby improving the comfort of kitchen staff.

[0099] like Figure 5 As shown, when cooking point 1 in the kitchen starts working, temperature sensor 1 detects a continuous rise in the temperature of the kitchen stove, while the ambient temperature sensor continuously monitors the temperature and humidity data within the kitchen. Based on calculations by the main controller, airflow valve 1 opens at a certain angle, causing the air conditioner fan and range hood fan to start inefficiently. For example... Figure 6 As shown, when airflow valve #1 is fully open, the opening of airflow valve #2 is adjusted based on calculations performed by the virtual simulation module of the main control unit. This utilizes a portion of the unused airflow, thereby maximizing the efficiency of the equipment's airflow. For example... Figure 7 As shown, when all cooking points in the kitchen are turned on and the entire kitchen is operating at full efficiency, the system will open all airflow valves to their maximum and start the air conditioning and exhaust fans at high efficiency, adjusting the exhaust volume to maximum to ensure proper ventilation of the kitchen fumes. Figure 5 As shown, when the kitchen is not used for a certain period of time, the system will stop the operation of the equipment to save energy.

[0100] Performance testing

[0101] 1. Economic Analysis

[0102] Table 1. Expected Annual Energy Savings of Hotel Kitchen Exhaust System

[0103]

[0104] 2. Energy Saving Analysis

[0105] Due to the management model of high-end hotels, the kitchen requires specific temperature control. There is an enthalpy difference between the hotel's indoor and outdoor areas during summer and winter. During operation, the kitchen exhaust fans carry away the air conditioning temperature, while the fresh air units supply outdoor air. This unnecessary large-volume airflow wastes a significant amount of central air conditioning energy, severely impacting the hotel's central air conditioning load. This loss can be roughly calculated as follows:

[0106] For a five-star hotel: the total exhaust volume of cooking fumes is 250,000 m³. 3 / h, the total air volume of the air conditioner is 220,000 m³ / h. 3 / h is used for estimation:

[0107] Adopting an intelligent kitchen exhaust system can save an average of 40% on kitchen energy consumption, meaning the system reduces the average amount of fresh air required by the kitchen air conditioner by 88,000 m³ per hour. 3 / h, the amount of negative pressure air drawn into the kitchen by the restaurant per hour is reduced by approximately 12000m³. 3 / h.

[0108] Kitchen intelligent exhaust system air conditioning loss and energy saving estimate = [reduction in restaurant negative pressure air volume (12000m³)] 3 / h)+ Kitchen fresh air reduces exhaust volume (88000m) 3 / h)]×volume ratio difference (1.293)×cooling efficiency (30%)×enthalpy difference (10)÷3600×12 (hours)×180 (days)=232740 degrees.

[0109] Fan energy consumption calculation (including kitchen exhaust fan and kitchen air conditioner fan) = 229kw × 40% energy saving rate × 12 (average daily running time) × 365 days = 401208 kWh.

[0110] The intelligent system solution is expected to save a total of 633,948 kWh of electricity throughout the year: energy savings from fan motors + energy savings from kitchen air conditioning losses = 401,208 + 232,740

[0111] Based on the above calculations, applying an intelligent kitchen exhaust system can save the entire hotel 600,000 kilowatt-hours of electricity annually.

Claims

1. A kitchen intelligent fume exhaust system, characterized in that, The kitchen intelligent fume exhaust system comprises a stove, a fume exhaust hood, a temperature sensor, a main control machine, a frequency conversion controller, a fume exhaust electric regulating valve, a fan group, a fresh air electric regulating valve, an air conditioner fan and a main control machine power supply. After the stove is ignited, the fume exhaust hood is opened, the temperature data below the fume exhaust hood is measured by the temperature sensor and transmitted to the main control machine, the opening angle of the fresh air electric regulating valve and the fume exhaust electric regulating valve and the frequency of the air conditioner fan and the fan group are obtained by analyzing and calculating the main control machine, then the main control machine controls the fresh air electric regulating valve and the fume exhaust electric regulating valve to open the required angle, and the frequency conversion controller controls the working frequency of the air conditioner fan and the fan group to exhaust fume and replace the air in the kitchen. The fan group comprises a fume exhaust fan and a fume purifier. The kitchen intelligent fume exhaust system further comprises an environmental temperature sensor. The main control machine comprises a wind volume module, a regulating module, a wind pressure module, a stability module, a deep learning module, a virtual simulation module, a multi-fan linkage control module, a self-learning module and a reminding module. The wind volume module is used for setting the maximum exhaust air volume of each exhaust air duct, monitoring the air volume data of the main and secondary exhaust air ducts and controlling the use of each duct, in the case that the exhaust air duct is not fully used, the exhaust air volume of the duct in use is first increased, and the air volume of the unused exhaust air duct is adjusted to the exhaust air duct in use to enhance the user experience. The regulating module is used for adjusting the priority order of the number and power of the opened fan group and air conditioner fan, ensuring that the fresh air supply is in a balanced state and ensuring that the kitchen is always in a negative pressure state. The wind pressure module is used for calculating the wind pressure of the fan group and the air conditioner fan and the wind pressure in the duct, adjusting the wind pressure curve difference according to the wind volume of each HZ frequency conversion, ensuring that each adjustment of 1 HZ can fully meet the required air volume experience of the user in efficiency, recording the corresponding current change and comparing with the original value, and monitoring whether the fan group and the air conditioner fan are used normally. The stability module is used for amplifying the calculation of the temperature sensor, the environmental temperature sensor and the air volume valve to the maximum when the sensor and the air volume valve fail, ensuring that even if all the sensors and air volume valves are damaged, the normal exhaust air use of the kitchen will not be affected, and the fault information is sent to the operator through the reminding module and notified to each shop. The deep learning module is used for automatically adjusting the algorithm parameters according to the user habits, automatically recording the temperature values and temperature difference values of each sensor in the emergency state, and automatically performing emergency strengthening in the next temperature value and temperature difference value reaches the emergency standard, and the system will judge the next required air volume value according to the user's operation to prevent accidents. The virtual simulation module is used for distributing and calculating the cooking points between two air volume valves, one cooking device corresponds to multiple air volume valves, the virtual simulation module divides the air volume of one air volume valve into multiple cooking devices, and executes the opening angle action according to the actual demand through the algorithm. The multi-fan linkage control module can combine several kitchens into a set of multi-fan interconnection system, when a small amount of demand is used, according to the collected data of the sensor, the dynamic change efficiency of the fan group and the air conditioning fan is calculated, and the number and variable frequency efficiency of the fan group and the air conditioning fan are accurately controlled, the number of fans and the frequency of variable frequency are controlled according to the actual demand; The self-learning module can analyze the sensor data under the condition of user's consent, automatically increase the air volume of the cooking equipment with high usage rate, and decrease the air volume of the cooking equipment with low usage rate, analyze and calculate the data during operation, track and analyze the usage of the cooking equipment, simulate the usage of the cooking equipment through algorithm, analyze and provide the user with the maintenance of the cooking equipment, and analyze and calculate all the data during the operation of the exhaust hood system, simulate the operation data of the restaurant and the click rate of each stove; The reminding module is used for reminding the failure, cleaning and maintenance of the equipment used in the exhaust process. The kitchen intelligent exhaust hood system further comprises a network connection port.

2. The kitchen intelligent fume exhaust system according to claim 1, characterized in that, The adjusting module comprises a priority module and a synchronization module; the priority module is used for calculating the number of the fan group and the air conditioning fan according to the preferred order, and then adjusting the power of the fan group and the air conditioning fan, to ensure that the most important part of the kitchen obtains fresh air in priority; the synchronization module is used for controlling the air conditioning fan to supplement the air in the kitchen to be in a balanced state, and calculating the negative pressure value of the kitchen through the fresh air coefficient, to ensure that the kitchen is always in a negative pressure state.

3. The kitchen intelligent fume exhaust system according to claim 1, characterized in that, The wind pressure module comprises a curve operation module, a static wind pressure module and a dynamic wind pressure module; the curve operation module is used for recording the corresponding current change, comparing the original value, and calculating the effective value of the short-circuit current periodic component at any time after the short circuit occurs, to monitor whether the fan group and the air conditioning fan are used normally, and reminding the operator through the reminding module if the current abnormally changes; the static wind pressure module is used for monitoring and calculating the wind pressure when overcoming the pipeline resistance; and the dynamic wind pressure module is used for monitoring and calculating the wind pressure when driving the exhaust pipe of the oil fume.

4. The kitchen intelligent fume exhaust system according to claim 1, characterized in that, The environmental temperature sensor is a temperature and humidity type.

5. The kitchen intelligent fume exhaust system according to claim 1, characterized in that, The kitchen intelligent exhaust hood system further comprises a temperature control module; the temperature control module is used for assisting the fan group and the air conditioning fan to control the temperature of the kitchen, to prevent accidents caused by too high temperature in the kitchen.

6. Application of the kitchen intelligent exhaust hood system according to any one of claims 1-5 in the field of kitchen exhaust technology.

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