Method, system, computing device, and storage medium for detecting a fume exhaust system

Abstract

The application discloses a kind of detection method, system, computing device and storage medium of fume exhaust system.Therein, the detection method of fume exhaust system includes: obtaining the demand air volume parameter and actual air volume parameter of host;According to the demand air volume parameter and actual air volume parameter, determine whether the operation state of the fume exhaust system is normal;If not, then turn off each air valve in multiple air valves in turn, and after turning off each air valve in turn, according to the current demand air volume parameter and current actual air volume parameter of host, determine whether the user corresponding to the currently closed air valve exists exhaust abnormal behavior.Obtain the on-off signal of each air valve in multiple air valves;Obtain the air volume state of each air valve in multiple air valves;According to the on-off signal of each air valve in multiple air valves and the air volume state of corresponding air valve, determine whether the user corresponding to the current air valve exists exhaust abnormal behavior.Improve detection accuracy to make fume exhaust machine work under preset air volume setting.

Description

Technical Field

[0001] This application relates to the field of commercial range hood technology, and in particular to a detection method, system, computing device and storage medium for a range hood system. Background Technology

[0002] In the use of commercial range hood systems, a single main unit is often connected to multiple catering shops through ducts, while the branch pipes are often installed in relatively concealed locations, making it impossible to routinely monitor whether the branch pipes are properly connected.

[0003] In existing technologies, the main method to determine whether a range hood is in use is by monitoring the on / off signals of the air valves within the shop. However, some shops have connected to the system and use the main unit for smoke extraction, but due to factors such as power outages to the air valves, forced opening of the air valves, or air vents bypassing the air valve route, the air valves become ineffective, and the main unit cannot promptly monitor whether the shop is using the system. This results in abnormal situations such as insufficient or uneven power distribution of the range hood. Summary of the Invention

[0004] In view of the above-mentioned defects or deficiencies in the prior art, it is desirable to provide a detection method, system, computing device and storage medium for a range hood, which can quickly and accurately determine whether there are any abnormalities in the use of the range hood and monitor the commercial range hood system.

[0005] In a first aspect, embodiments of this application provide a method for detecting an oil fume exhaust system, including:

[0006] Obtain the required airflow parameters and actual airflow parameters of the host unit;

[0007] Determine whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters.

[0008] If not, each of the multiple air valves will be closed in turn. After each air valve is closed in turn, the system will determine whether the user corresponding to the currently closed air valve has any abnormal exhaust behavior based on the host's current required air volume parameters and the current actual air volume parameters.

[0009] In some embodiments, obtaining the host's required airflow parameters and actual airflow parameters includes:

[0010] The number of air valves opened is obtained, and the required air volume parameters of the main unit are determined based on the number of air valves opened.

[0011] The actual airflow parameters of the host are determined based on the detection value of the pressure / wind speed sensor at the air inlet or air outlet of the host, wherein the pressure / wind speed sensor at the air inlet or air outlet of the host is installed at the air inlet or air outlet of the host.

[0012] In some embodiments, determining the actual airflow parameters of the host based on the detection values ​​of the pressure / wind speed sensors at the air inlet or outlet of the host includes:

[0013] Based on the pressure detection value detected by the pressure sensor at the air inlet or air outlet of the host, the actual air volume parameter of the host is obtained through a preset correspondence between pressure and air volume.

[0014] or,

[0015] The actual air volume parameters of the host are obtained based on the wind speed detection value detected by the wind speed sensor at the air inlet or air outlet of the host and the cross-sectional dimensions of the air inlet or air outlet.

[0016] In some embodiments, determining whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters includes:

[0017] Check whether the difference between the required air volume parameter and the actual air volume parameter is within a predetermined error range;

[0018] If not, then the operating status of the exhaust system is determined to be abnormal.

[0019] In another embodiment, a method for detecting an oil fume exhaust system includes:

[0020] Obtain the on / off signal of each of the multiple air valves;

[0021] Obtain the airflow status through each of the multiple air valves;

[0022] Based on the on / off signal of each of the multiple air valves and the corresponding airflow status, determine whether the user corresponding to the current air valve has any abnormal ventilation behavior.

[0023] The step of determining whether the user corresponding to the current air valve has abnormal ventilation behavior based on the on / off signal of each of the plurality of air valves and the corresponding airflow status of the air valve includes:

[0024] If the switch signal of the air valve indicates that it is open and the air volume status of the air valve is that there is airflow, then it is determined that the user corresponding to the current air valve does not have any abnormal ventilation behavior.

[0025] If the switch signal of the air valve indicates that it is open and the air volume status of the air valve is that there is no airflow, then it is determined that the user corresponding to the current air valve has abnormal ventilation behavior.

[0026] If the switch signal of the air valve is not open and the air volume status of the air valve is that there is excessive airflow, then it is determined that the user corresponding to the current air valve has abnormal ventilation behavior.

[0027] If the switch signal of the air valve is not open and the airflow status of the air valve is no airflow, then it is determined that the user corresponding to the current air valve does not have any abnormal exhaust behavior.

[0028] Secondly, embodiments of this application provide a detection system for an oil fume exhaust system, comprising:

[0029] The first acquisition module is used to obtain the host's required air volume parameters and actual air volume parameters;

[0030] The judgment module is used to determine whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters.

[0031] The first anomaly determination module is used to, when the operating status of the exhaust system is abnormal, sequentially close each of the multiple air valves, and after sequentially closing each air valve, determine whether the user corresponding to the currently closed air valve has abnormal exhaust behavior based on the host's current required air volume parameters and current actual air volume parameters.

[0032] In another embodiment, a detection system for an exhaust fume system includes: a second acquisition module for acquiring the on / off signal of each of a plurality of air valves;

[0033] The airflow status acquisition module is used to obtain the airflow status of each of the multiple air valves.

[0034] The second anomaly determination module is used to determine whether the user corresponding to the current air valve has abnormal ventilation behavior based on the on / off signal of each of the plurality of air valves and the air volume status of the corresponding air valve.

[0035] Thirdly, embodiments of this application provide a computing device having a computer program stored thereon, the computer program being used to implement the detection method for the exhaust fume system as described in the first aspect above.

[0036] Fourthly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, the computer program being used to implement the detection method for the fume extraction system as described in the first aspect above.

[0037] This application discloses a detection method, system, computing device, and storage medium for a kitchen exhaust system. The detection method includes: obtaining the required airflow parameters and actual airflow parameters of the main unit; determining whether the operating status of the kitchen exhaust system is normal based on the required and actual airflow parameters; if not, sequentially closing each of a plurality of air valves, and after sequentially closing each air valve, determining whether the user corresponding to the currently closed air valve has abnormal exhaust behavior based on the current required and actual airflow parameters of the main unit. The method also includes obtaining the on / off signal of each of the plurality of air valves; obtaining the airflow status through each of the plurality of air valves; and determining whether the user corresponding to the current air valve has abnormal exhaust behavior based on the on / off signal of each of the plurality of air valves and the corresponding airflow status. This improves detection accuracy, ensuring the kitchen exhaust hood operates under a preset airflow setting. It can quickly and accurately determine whether there are any abnormalities during the use of the kitchen exhaust hood, allowing for monitoring of the kitchen exhaust hood. Attached Figure Description

[0038] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0039] Figure 1 A flowchart of a detection method for an oil fume exhaust system provided in an embodiment of this application;

[0040] Figure 2 A system diagram of an oil fume extraction system provided for an embodiment of this application;

[0041] Figure 3 A flowchart of another detection method for an oil fume exhaust system provided for embodiments of this application;

[0042] Figure 4 A system diagram of another oil fume extraction system provided for embodiments of this application;

[0043] Figure 5 A structural block diagram of the detection system for the exhaust fume system provided in the embodiments of this application;

[0044] Figure 6 A structural block diagram of another detection system for an exhaust fume system provided in an embodiment of this application. Detailed Implementation

[0045] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the relevant disclosure and not intended to limit the scope of the disclosure. Furthermore, it should be noted that, for ease of description, only the parts relevant to the disclosure are shown in the accompanying drawings.

[0046] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0047] The following describes, with reference to the accompanying drawings, a detection method, system, computing device, and storage medium for an exhaust fume system according to embodiments of this application.

[0048] This method is applied to a kitchen exhaust system, which consists of at least a main unit, a main control box (central processing unit), and intelligent damper components (including intelligent dampers, damper communication execution modules, and switch boxes). The main unit is typically installed at the end of the main duct and provides power to the entire exhaust system. The main unit is controlled by a main control cabinet containing the central processing unit. All control programs are written in the central processing unit, which can adjust the frequency of the main unit to ensure the exhaust power of the entire system meets design and requirements, and can also adjust the angle of the intelligent dampers to ensure smooth exhaust for the corresponding users.

[0049] Figure 1 This is a flowchart of a detection method for an exhaust fume system according to an embodiment of this application, as follows: Figure 1 As shown, a detection method for an oil fume exhaust system according to an embodiment of this application includes the following steps:

[0050] S101. Obtain the required air volume parameters and actual air volume parameters of the host unit.

[0051] Specifically, the required air volume parameters are obtained through the main unit's preset control device, and the actual air volume parameters are obtained through the preset sensors inside the main unit.

[0052] In some embodiments, obtaining the host's required airflow parameters and actual airflow parameters includes:

[0053] The number of air valves opened is obtained, and the required air volume parameters of the main unit are determined based on the number of air valves opened.

[0054] The actual airflow parameters of the host are determined based on the detection value of the pressure / wind speed sensor at the air inlet or air outlet of the host, wherein the pressure / wind speed sensor at the air inlet or air outlet of the host is installed at the air inlet or air outlet of the host.

[0055] Specifically, the system obtains the number and location information of users who have turned on their range hoods through the host terminal, and then calculates the real-time demand airflow parameter Q (demand) based on this information. The demand airflow parameter Q (demand) can be calculated by summing the number of times each user's air valve is open. For example, Q1 represents the demand airflow for the first user, Q2 for the second user, and so on up to the nth user. Figure 2As shown, when a user presses the start switch, the communication module sends the start information to the air valve communication execution module. This communication execution module and the start switch can transmit signals via wired communication or wireless networks such as LoRa, 4G, 5G, and Wi-Fi. The air valve is powered on and starts, opening and sending the start information to the host. The host can then obtain the number of stores with the air valve open and their information, and calculate the required airflow based on the needs of each user. When the first user starts using the air valve, the second user starts using it, and so on up to the nth user, the required airflow Q (demand) is the sum of Q1 + Q2 + ... + Qn. In summary, the total required airflow parameter Q (demand) for all users can be calculated.

[0056] Then, based on the detection values ​​of the pressure / wind speed sensors at the air inlet or outlet of the main unit, the actual airflow parameters of the main unit are determined. The pressure sensor can be installed at either the air inlet or outlet of the main unit, and its installation position should be at least 1.5D away, where D is the diameter or equivalent diameter of the duct. The calculation formula for a rectangular duct is D = 2AB / (A+B), where A and B are the side lengths. The function of the pressure sensor is to monitor the static air pressure at the main unit inlet, which serves as the external residual pressure of the main unit and is used for comparison with the PQ performance curve of the main unit. The wind speed sensor is used to monitor the wind speed at the main unit inlet.

[0057] In some embodiments, determining the actual airflow parameters of the host based on the detection values ​​of the pressure / wind speed sensors at the air inlet or outlet of the host includes:

[0058] Based on the pressure detection value detected by the pressure sensor at the air inlet or air outlet of the host, the actual air volume parameter of the host is obtained through a preset correspondence between pressure and air volume.

[0059] or,

[0060] The actual air volume parameters of the host are obtained based on the wind speed detection value detected by the wind speed sensor at the air inlet or air outlet of the host and the cross-sectional dimensions of the air inlet or air outlet.

[0061] Specifically, a pressure sensor is installed at the air inlet or outlet of the main unit to obtain the static pressure P. Then, based on the preset PQ performance parameters of the main unit, i.e., the pressure-airflow correspondence, the actual airflow Q (actual) is obtained. Alternatively, a wind speed sensor is installed at the air inlet or outlet of the main unit to obtain the current wind speed V. The actual airflow Q (actual) is then calculated. The calculation of Q (actual) is as follows: Q (actual) = V x A, where A is the dimension of the pipe cross-section.

[0062] In other embodiments, the range hood is controlled to operate at a corresponding frequency based on the calculated required air volume parameters. For example, based on the calculated required air volume parameters, the corresponding operating frequency f of the range hood is calculated according to a preset formula. This formula is f = 50 x Q(requirement) / Q0, where Q0 is the rated air volume of the main unit.

[0063] S102. Determine whether the operating status of the exhaust system is normal based on the required air volume parameters and the actual air volume parameters.

[0064] Specifically, the system performs error assessment on the obtained required airflow parameters and the actual airflow. Different numbers of connected households and user specifications result in different pressures within the ductwork. That is, it determines whether the error between the required airflow parameters and the actual airflow exceeds a preset threshold, thereby determining whether the exhaust system is operating normally. It can also determine the accuracy of data reported by each intelligent damper, thus identifying any abnormal access by end users.

[0065] In some embodiments, determining whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters includes:

[0066] Check whether the difference between the required air volume parameter and the actual air volume parameter is within a predetermined error range;

[0067] If not, then the operating status of the exhaust system is determined to be abnormal.

[0068] Specifically, an error judgment is performed on the obtained required air volume parameters and the actual air volume. That is, it is determined whether the error between the required air volume parameters and the actual air volume is greater than a predetermined error range. This predetermined error range can usually be set to 0-15%. The difference is calculated as the difference between the required air volume parameters and the actual air volume / the required air volume parameters. When the difference is greater than 15%, it is determined that the operating status of the fume extraction system is abnormal.

[0069] In other embodiments, if the difference is less than or equal to 15%, the operating status of the fume extraction system is determined to be normal.

[0070] S103. If not, then each of the multiple air valves is closed in turn, and after each air valve is closed in turn, the user corresponding to the currently closed air valve is determined to have abnormal exhaust behavior based on the current demand air volume parameter and the current actual air volume parameter of the host.

[0071] Specifically, when it is determined that the operating status of the exhaust system is abnormal, the air valves are closed in sequence: the first user's air valve N1, the second user's air valve N2, and so on until the nth user's air valve Nn. At the same time, the current required air volume parameter and the current actual air volume parameter of the exhaust fan are detected until the abnormal air valve of the corresponding user is found, thereby determining whether the user corresponding to the currently closed air valve has abnormal exhaust behavior.

[0072] Figure 3 This is a flowchart of a detection method for an oil fume exhaust system according to another embodiment of this application, as shown below. Figure 1 As shown, a method for detecting an oil fume exhaust system according to another embodiment of this application includes the following steps:

[0073] S201. Obtain the on / off signal of each of the multiple air valves.

[0074] Specifically, the number and location information of users who have turned on the range hood are obtained through the host device. For example, Figure 4 As shown, when a user presses the start switch, the start information is sent to the air valve communication execution module through the communication module. The communication execution module and the start switch can transmit signals through wired communication or wireless networks such as LoRa, 4G, 5G, and Wi-Fi. The air valve is powered on and starts, opens, and sends the start information to the host, thereby obtaining the air valve's switch signal. Based on this method, the switch signals of each air valve in multiple air valves of multiple users can be obtained.

[0075] S202. Obtain the airflow status of each of the multiple air valves.

[0076] Specifically, such as Figure 4 As shown, a sensor is installed on the user's branch pipe to obtain the current airflow status. For example, the sensor can be a wind speed sensor (which detects airflow speed), a wind pressure sensor, or a pressure sensor (which detects dynamic pressure changes in the branch pipe) to obtain the airflow status.

[0077] S203. Based on the on / off signal of each of the plurality of air valves and the air volume status of the corresponding air valve, determine whether the user corresponding to the current air valve has abnormal ventilation behavior.

[0078] Specifically, by comparing the on / off signal of each air valve with the corresponding airflow status, it can be determined whether the user corresponding to the current air valve has any abnormal ventilation behavior.

[0079] In some embodiments, determining whether the user corresponding to the current air valve has abnormal ventilation behavior based on the on / off signal of each of the plurality of air valves and the corresponding airflow status of the air valve includes:

[0080] If the switch signal of the air valve indicates that it is open and the air volume status of the air valve is that there is airflow, then it is determined that the user corresponding to the current air valve does not have any abnormal ventilation behavior.

[0081] If the switch signal of the air valve indicates that it is open and the air volume status of the air valve is that there is no airflow, then it is determined that the user corresponding to the current air valve has abnormal ventilation behavior.

[0082] If the switch signal of the air valve is not open and the air volume status of the air valve is that there is excessive airflow, then it is determined that the user corresponding to the current air valve has abnormal ventilation behavior.

[0083] If the switch signal of the air valve is not open and the airflow status of the air valve is no airflow, then it is determined that the user corresponding to the current air valve does not have any abnormal exhaust behavior.

[0084] Specifically, when the switch signal of the air valve indicates that it is open and the corresponding air volume status is that there is airflow, it means that the current status is that the range hood is turned on and the range hood is working to extract air. This means that the user corresponding to the air valve does not have any abnormal exhaust behavior, that is, the exhaust is working normally at this time.

[0085] When the switch signal of the air valve is open and the corresponding air volume status is that there is no airflow, it means that the current status is that the range hood is on and the range hood is not working. This means that the user corresponding to the air valve has abnormal exhaust behavior, that is, there may be a malfunction of the range hood at this time.

[0086] When the switch signal of the air valve is not open and the corresponding air volume status is that there is airflow, it means that the current status is that the range hood is off, but the range hood is working to extract air. This means that the user corresponding to the air valve is having abnormal exhaust behavior. That is, there may be a malfunction of the range hood or a leak in the air duct branch.

[0087] When the switch signal of the air valve is open and the corresponding air volume status is that there is no airflow, it means that the current state is that the range hood is off and the range hood is not performing ventilation. This indicates that the user corresponding to the air valve has abnormal ventilation behavior, that is, the range hood is not in use at this time.

[0088] According to the detection method of the exhaust system disclosed in this application, the required airflow parameters and actual airflow parameters of the main unit are obtained; the normal operating status of the exhaust system is determined based on the required airflow parameters and actual airflow parameters. Alternatively, the on / off signals of each of the multiple air valves are obtained; the airflow status through each air valve is obtained; and based on the on / off signals of each air valve and the corresponding airflow status, it is determined whether the user corresponding to the current air valve has abnormal exhaust behavior. This improves detection accuracy, ensuring the exhaust hood operates under the preset airflow setting. It can quickly and accurately determine whether there are any abnormalities in the use of the exhaust hood, allowing for monitoring of the exhaust hood.

[0089] On the other hand, such as Figure 5 As shown in the figure, this application provides a detection system for an oil fume exhaust system, including: a first acquisition module 310, a judgment module 320, and a first anomaly determination module 330, wherein:

[0090] The first acquisition module 310 is used to obtain the host's required air volume parameters and actual air volume parameters;

[0091] The judgment module 320 is used to determine whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters.

[0092] The first anomaly determination module 330 is used to, when the operating state of the exhaust system is abnormal, sequentially close each of the multiple air valves, and after sequentially closing each air valve, determine whether the user corresponding to the currently closed air valve has abnormal exhaust behavior based on the current demand air volume parameter and the current actual air volume parameter of the host.

[0093] like Figure 6 As shown in the embodiment of this application, another detection system for an exhaust fume system is provided, including: a second acquisition module 410, an airflow status acquisition module 420, and a second anomaly determination module 430, wherein:

[0094] The second acquisition module 410 is used to acquire the switching signal of each of the multiple air valves;

[0095] The air volume status acquisition module 420 is used to obtain the air volume status of each of the multiple air valves.

[0096] The second anomaly determination module 430 is used to determine whether the user corresponding to the current air valve has abnormal ventilation behavior based on the opening and closing signal of each of the plurality of air valves and the air volume status of the corresponding air valve.

[0097] According to the detection system for a kitchen exhaust system disclosed in this application, the system obtains the required airflow parameters and actual airflow parameters of the main unit; and determines whether the operating status of the kitchen exhaust system is normal based on the required airflow parameters and actual airflow parameters. Alternatively, it obtains the on / off signals of each of multiple air valves; obtains the airflow status through each of the multiple air valves; and determines whether the user corresponding to the current air valve has abnormal exhaust behavior based on the on / off signals of each of the multiple air valves and the corresponding airflow status of the air valve. This improves detection accuracy, ensuring that the kitchen exhaust hood operates under a preset airflow setting. It can quickly and accurately determine whether there are any abnormalities in the use of the kitchen exhaust hood, and monitor the kitchen exhaust hood.

[0098] It should be noted that the specific implementation of the detection system of the exhaust fume system in this application embodiment is similar to the specific implementation of the detection system of the exhaust fume system in this application embodiment. Please refer to the description in the method section for details, which will not be repeated here.

[0099] The division of modules or units mentioned in the detailed description above is not mandatory. In fact, according to the embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0100] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operational instructions of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two connected blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified functions or operational instructions, or using a combination of dedicated hardware and computer instructions. The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by specific combinations of the above-mentioned technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-mentioned technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, technical solutions formed by substituting the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this application.

[0101] Furthermore, embodiments of this application provide a computing device storing a computer program. The memory of this computing device stores at least one instruction, at least one program segment, a code set, or an instruction set. The instruction, program, code set, or instruction set is loaded and executed by the processor to implement the detection method for the exhaust system according to any of the above embodiments. For example, implementing a detection method for an exhaust system includes: obtaining the host's required airflow parameters and actual airflow parameters; determining whether the exhaust system's operating status is normal based on the required airflow parameters and actual airflow parameters; if not, sequentially closing each of a plurality of air valves, and after sequentially closing each air valve, determining whether the user corresponding to the currently closed air valve has abnormal ventilation behavior based on the host's current required airflow parameters and current actual airflow parameters.

[0102] For example, another detection method for an exhaust system includes: obtaining the on / off signal of each of a plurality of air valves; obtaining the airflow status of each of the plurality of air valves; and determining whether the user corresponding to the current air valve has abnormal exhaust behavior based on the on / off signal of each of the plurality of air valves and the corresponding airflow status of the air valve.

[0103] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When executed by a processor, the computer program performs the following steps: obtaining the host's required airflow parameters and actual airflow parameters; determining whether the operating status of the exhaust system is normal based on the required airflow parameters and actual airflow parameters; if not, sequentially closing each of a plurality of air valves, and after sequentially closing each air valve, determining whether the user corresponding to the currently closed air valve has abnormal exhaust behavior based on the host's current required airflow parameters and current actual airflow parameters. Alternatively, when executed, the program performs the following steps: obtaining the on / off signal of each of the plurality of air valves; obtaining the airflow status of each of the plurality of air valves; determining whether the user corresponding to the current air valve has abnormal exhaust behavior based on the on / off signal of each of the plurality of air valves and the corresponding airflow status of the air valve.

[0104] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static random access memory (SRAM) and dynamic random access memory (DRAM), etc.

[0105] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0106] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0107] Unless otherwise defined, the technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used herein is for descriptive purposes only and is not intended to limit the invention. Terms such as “set” appearing herein can refer to either a component being directly attached to another component or a component being attached to another component via an intermediary. A feature described in one embodiment herein may be applied, alone or in combination with other features, to another embodiment, unless that feature is not applicable in that other embodiment or is otherwise stated.

[0108] The present invention has been described through the above embodiments; however, it should be understood that the above embodiments are for illustrative purposes only and are not intended to limit the present invention to the described embodiments. Those skilled in the art will understand that many variations and modifications can be made based on the teachings of the present invention, and all such variations and modifications fall within the scope of protection claimed by the present invention.

Claims

1. A method for detecting an oil fume exhaust system, characterized in that, The fume extraction system comprises at least a main unit, a main control box, and an intelligent damper assembly, wherein the main unit is installed at the end of the main duct; the method includes: The required air volume parameters of the host are obtained through the preset main box controller in the host, and the actual air volume parameters of the host are obtained through the preset sensor in the host. Determine whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters. If not, then each of the multiple air valves will be closed in turn, and after each air valve is closed in turn, the user corresponding to the currently closed air valve will be determined to have abnormal exhaust behavior based on the host’s current required air volume parameters and the current actual air volume parameters. The step of obtaining the required airflow parameters of the host through a preset main unit controller and obtaining the actual airflow parameters of the host through a preset sensor within the host includes: The number of air valves opened is obtained, and the required air volume parameters of the main unit are determined based on the number of air valves opened. The actual airflow parameters of the host are determined based on the detection values ​​of the pressure / wind speed sensors at the air inlet or air outlet of the host. The pressure / wind speed sensors at the air inlet or air outlet of the host are installed at the air inlet or air outlet of the host. The function of the pressure sensor is to monitor the static air pressure at the inlet of the host, which is used as the external static pressure of the host and compared with the actual-demand performance curve of the host.

2. The detection method for the fume extraction system according to claim 1, characterized in that, The step of determining the actual airflow parameters of the host based on the detection values ​​of the pressure / wind speed sensors at the air inlet or air outlet of the host includes: Based on the pressure detection value detected by the pressure sensor at the air inlet or air outlet of the host, the actual air volume parameter of the host is obtained through a preset correspondence between pressure and air volume. or, The actual air volume parameters of the host are obtained based on the wind speed detection value detected by the wind speed sensor at the air inlet or air outlet of the host and the cross-sectional dimensions of the air inlet or air outlet.

3. The detection method for the fume extraction system according to any one of claims 1-2, characterized in that, Determining whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters includes: Check whether the difference between the required air volume parameter and the actual air volume parameter is within a predetermined error range; If not, then the operating status of the exhaust system is determined to be abnormal.

4. A detection system for an oil fume exhaust system, characterized in that, The fume extraction system comprises at least a main unit, a main control box, and an intelligent damper assembly, with the main unit installed at the end of the main duct; the detection system includes: The first acquisition module is used to obtain the required air volume parameters of the host through the preset main box controller in the host, and to obtain the actual air volume parameters of the host through the preset sensor in the host. The judgment module is used to determine whether the operating status of the fume extraction system is normal based on the required air volume parameters and the actual air volume parameters. The first anomaly determination module is used to turn off each of the multiple air valves in turn when the operating status of the exhaust system is abnormal, and after turning off each air valve in turn, determine whether the user corresponding to the currently closed air valve has abnormal exhaust behavior based on the current demand air volume parameter and the current actual air volume parameter of the host. The step of obtaining the required airflow parameters of the host through a preset main unit controller and obtaining the actual airflow parameters of the host through a preset sensor within the host includes: The number of air valves opened is obtained, and the required air volume parameters of the main unit are determined based on the number of air valves opened. The actual airflow parameters of the host are determined based on the detection values ​​of the pressure / wind speed sensors at the air inlet or air outlet of the host. The pressure / wind speed sensors at the air inlet or air outlet of the host are installed at the air inlet or air outlet of the host. The function of the pressure sensor is to monitor the static air pressure at the inlet of the host, which is used as the external static pressure of the host and compared with the actual-demand performance curve of the host.

5. A computing device, characterized in that, It stores a computer program for implementing the detection method of the fume extraction system according to any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, It stores a computer program for implementing the detection method of the fume extraction system according to any one of claims 1-3.

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