Intelligent monitoring ventilation control method and system, electronic device and storage medium

Abstract

The invention discloses an intelligent monitoring ventilation control method and system, an electronic device and a storage medium, and the control comprises the steps: obtaining detection data of at least two types of sensors, the different types of sensors being used for detecting different environmental data in a scene, and the detection data of the different types of sensors corresponding to different standard exceeding thresholds; judging whether at least one item of the detection data exceeds the corresponding standard exceeding threshold value or not; if yes, increasing the power of the ventilation system. According to the technical scheme provided by the invention, the technical problems that a ventilation system in the prior art cannot accurately control the power of the ventilation system and cannot timely ventilate the environment can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring and automatic control, and in particular to an intelligent monitoring ventilation control method, system, electronic device and storage medium. Background Art

[0002] Traditional ventilation systems are usually based on the judgment of the exceeding threshold of a single parameter (such as CO2). When the parameter reaches the exceeding threshold, the power of the ventilation system is increased to reduce the concentration of CO2 as quickly as possible.

[0003] However, the air quality in the actual environment is the result of the coupling of multiple factors. For example, high CO2 concentration may be accompanied by insufficient oxygen (in crowded scenes), and excessive dust may be independent of gas concentration (such as industrial dust). Therefore, when a single parameter does not reach the threshold of exceeding the standard, there may be a scene of poor air quality. At this time, the power of the ventilation system is not enhanced, and there will be safety hazards.

[0004] Therefore, the traditional ventilation system cannot accurately control the power of the ventilation system and cannot ventilate the environment in time. Summary of the invention

[0005] The present invention provides an intelligent monitoring ventilation control method, system, electronic device and storage medium, aiming to effectively solve the technical problem that the ventilation system in the prior art cannot accurately control the power of the ventilation system and cannot ventilate the environment in time.

[0006] According to a first aspect of the present invention, the present invention provides an intelligent monitoring ventilation control method, comprising: obtaining detection data from sensors, wherein there are at least two types of sensors, different types of sensors are used to detect different environmental data in a scene, and the detection data of different types of sensors correspond to different exceeding thresholds; determining whether at least one item of the detection data exceeds its corresponding exceeding threshold; if so, increasing the power of the ventilation system.

[0007] Furthermore, the types of sensors include: carbon dioxide sensors, oxygen sensors and dust sensors; the intelligent monitoring ventilation control method also includes: when obtaining the detection data of the sensor, periodically obtaining the detection data of the sensor.

[0008] Furthermore, the intelligent monitoring and ventilation control method also includes: classifying different types of sensors with corresponding weights according to different environments, and the sum of the weights of all types of sensors in each environment is 1; adjusting the power of the ventilation system according to the weight of the detection data exceeding the corresponding exceeding threshold.

[0009] Furthermore, the intelligent monitoring and ventilation control method also includes: regularly calibrating and compensating the sensor to improve data accuracy; wherein, the step of regularly calibrating the sensor includes: obtaining the time of each day, and determining whether the current time is at a preset time trigger point; if it is at the preset time trigger point, starting calibration, wherein the calibration standard is that the environmental data detected by the sensor is the same as the atmospheric reference value data; the step of compensating the sensor includes: if after starting the calibration, the detection data of the sensor is different from the atmospheric reference value data, then using the atmospheric reference value data and the pre-stored sensor calibration value to perform compensation, and storing the compensated data.

[0010] Furthermore, in the process of periodically calibrating and calculating compensation for the sensor, the intelligent monitoring ventilation control method also includes: determining whether the detection data of the sensor is greater than a fault threshold, wherein the fault thresholds corresponding to the detection data of different types of sensors are different, and the fault threshold is less than the exceeding threshold; if the detection data of the sensor is greater than the fault threshold, the number of times is recorded; if the number of times exceeds a first preset number of times, a fault alarm is triggered.

[0011] Furthermore, the intelligent monitoring ventilation control method also includes: connecting the ventilation system to the Internet of Things through a first communication mode; periodically detecting the connection status of the first communication mode; if it is detected that the connection status has timed out for a second preset number of consecutive times, determining that the ventilation system is disconnected from the Internet of Things; and using the second communication mode to link the ventilation system to a mobile terminal so that a user can use the mobile terminal to control the ventilation system.

[0012] Furthermore, the intelligent monitoring ventilation control method also includes: when the ventilation system is connected to the Internet of Things via a first communication mode, storing the operating data of the ventilation system to the cloud; when the ventilation system is disconnected from the Internet of Things, recording the operating data of the ventilation system, and transmitting the operating data to the cloud when the connection state of the first communication mode is a normal link.

[0013] According to the second aspect of the present invention, the present invention also provides an intelligent monitoring ventilation control system, comprising: a sensor module for acquiring detection data, the sensor module comprising at least two types of sensors, different types of sensors are used to detect different environmental data in the scene, and the detection data of different types of sensors correspond to different exceeding thresholds; a main controller for determining whether at least one item of the detection data exceeds its corresponding exceeding threshold; an execution module for increasing the power of the ventilation system if the main controller determines that at least one item of the detection data exceeds its corresponding exceeding threshold.

[0014] According to the third aspect of the present invention, the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any one of the above-mentioned intelligent monitoring and ventilation control methods is implemented.

[0015] According to another aspect of the present invention, the present invention further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, any one of the above-mentioned intelligent monitoring ventilation control methods is implemented.

[0016] Through one or more of the above embodiments of the present invention, at least the following technical effects can be achieved: In the technical solution disclosed in the present invention, the power of the ventilation system can be adjusted according to a variety of different environmental data, so as to ventilate the environment in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The technical solutions and other beneficial effects of the present invention will be made apparent by describing in detail the specific embodiments of the present invention in conjunction with the accompanying drawings.

[0018] Figure 1 A flow chart of an intelligent monitoring ventilation control method provided by an embodiment of the present invention; Figure 2 A framework diagram of an intelligent monitoring ventilation control system provided by an embodiment of the present invention; Figure 3 A schematic block diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all of the embodiments. Based on the embodiment of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " herein, unless otherwise specified, generally indicates that the associated objects before and after are in an "or" relationship.

[0021] Figure 1The intelligent monitoring ventilation control method provided by an embodiment of the present invention includes: S101, acquiring detection data of the sensor; S102, determining whether at least one item of the detection data exceeds its corresponding exceeding threshold; S103: If yes, increase the power of the ventilation system.

[0022] In step S101, there are at least two types of sensors, and different types of sensors are used to detect different environmental data in the scene, and the detection data of different types of sensors correspond to different exceeding thresholds. For example, the types of sensors include: carbon dioxide sensors, oxygen sensors and dust sensors. Therefore, in this embodiment, the carbon dioxide sensor can be used to detect the carbon dioxide concentration in the environment, the oxygen sensor can be used to detect the oxygen concentration in the environment, and the dust sensor can be used to detect the dust concentration in the environment.

[0023] Among them, the carbon dioxide sensor adopts the non-dispersive infrared (NDIR) principle, with a range of 0-5000ppm and an accuracy of ±50ppm. The oxygen sensor adopts the electrochemical principle, with a range of 0-25%VOL and an output signal of 0.4-2V. The dust sensor adopts the laser scattering principle to detect PM2.5 / PM10, with a range of 0-1000μg / m³.

[0024] Therefore, in step S101, obtaining the detection data of the sensor specifically includes: reading the data of the carbon dioxide sensor through the UART communication protocol; using the oxygen sensor to read the oxygen data through the analog signal (voltage value); using the dust sensor to read the PM2.5 concentration data through the serial port communication.

[0025] The value returned by the carbon dioxide sensor is the carbon dioxide concentration in the current environment, in ppm; the output voltage range of the oxygen sensor is 0.4V to 2V, corresponding to an oxygen concentration range of 0% to 25%. The voltage value of the sensor pin is read through the ADC (analog-to-digital converter, oxygen concentration = ADC reading value * 0.1 + 0.4) and converted into oxygen concentration.

[0026] Among them, different types of sensors have corresponding exceeding standard thresholds. For example, the exceeding standard threshold of carbon dioxide concentration is greater than 1000ppm, the exceeding standard threshold of oxygen concentration is less than 19.5%, and the exceeding standard threshold of dust concentration is greater than 75μg / m³.

[0027] Therefore, after reading the detection data of carbon dioxide concentration, oxygen concentration and dust concentration, step S102 can be used to determine whether at least one of the carbon dioxide concentration, oxygen concentration and dust concentration exceeds its corresponding exceeding threshold value. If at least one of the carbon dioxide concentration, oxygen concentration and dust concentration exceeds its corresponding exceeding threshold value, it means that the environment in the detection scene needs to be ventilated as soon as possible to reduce safety hazards in the environment.

[0028] Therefore, the intelligent monitoring ventilation control method provided in this embodiment can adjust the power of the ventilation system according to a variety of different environmental data, thereby ventilating the environment in a timely manner and reducing safety hazards in the environment.

[0029] In some embodiments, the intelligent monitoring ventilation control method also includes: when the sensor is used for the first time in the detection environment, initializing the sensor, such as configuring the UART communication parameters (baud rate, data bits, etc.) of the carbon dioxide sensor, configuring the ADC pin and reference voltage of the oxygen sensor, and initializing the serial port communication of the dust sensor.

[0030] In some embodiments, the intelligent monitoring ventilation control method further includes: when acquiring the detection data of the sensor, periodically acquiring the detection data of the sensor.

[0031] In this embodiment, by periodically acquiring the detection data of the sensor, the detection environment can be continuously detected, so that when an abnormality occurs in the detection environment, the power of the ventilation system can be increased in time to eliminate the abnormality.

[0032] In this embodiment, the cycle is 5 seconds, that is, after detecting the carbon dioxide concentration, oxygen concentration, and dust concentration once, the carbon dioxide concentration, oxygen concentration, and dust concentration are detected again after 5 seconds.

[0033] In some embodiments, the intelligent monitoring and ventilation control method also includes: the intelligent monitoring and ventilation control method also includes: classifying corresponding weights for different types of sensors according to different environments, and the sum of the weights of all types of sensors in each environment is 1; adjusting the power of the ventilation system according to the weight size of the detection data exceeding the corresponding exceeding threshold.

[0034] This embodiment can adjust the power of the ventilation system according to the weight of the detection data exceeding the corresponding exceeding threshold value. For example, after the carbon dioxide concentration, oxygen concentration or dust concentration reaches the exceeding threshold value, if the sum of the weights is less than or equal to 0.4, the ventilation system is turned on; if the sum of the weights is greater than 0.4 and less than or equal to 0.7, the ventilation system is turned on at full power; if it is greater than 0.7, the ventilation system is turned on at full power and an alarm is issued.

[0035] In addition, this embodiment takes into account that different detection environments have different characteristics. For example, industrial plants and laboratories. Under normal circumstances, the dust concentration in an industrial plant will be higher than that in a laboratory, the oxygen concentration will be higher than that in a laboratory, and the carbon dioxide concentration will be lower than that in a laboratory. In this embodiment, the weights of the carbon dioxide concentration, oxygen concentration, and dust concentration corresponding to the industrial plant are assigned to 0.3, 0.4, and 0.3, respectively, and the weights of the carbon dioxide concentration, oxygen concentration, and dust concentration corresponding to the laboratory are assigned to 0.5, 0.3, and 0.2, respectively.

[0036] In an industrial plant, if the carbon dioxide concentration, oxygen concentration or dust concentration reaches the exceeding threshold, for example, if only the carbon dioxide concentration reaches the exceeding threshold, the weight is 0.3, which means that the environment in the industrial plant is poor and the ventilation system needs to be turned on. If the carbon dioxide concentration and oxygen concentration reach the exceeding threshold, the weight is 0.3+0.4=0.7, which means that the environment in the industrial plant is very poor and the ventilation system needs to be turned on at full power. If the carbon dioxide concentration, oxygen concentration and dust concentration all reach the exceeding threshold, the weight is 0.3+0.4+0.3=1, which means that the environment in the industrial plant is extremely poor and the ventilation system needs to be turned on at full power, and an alarm is issued, and the staff in the industrial plant need to evacuate in time.

[0037] In this embodiment, different detection scenarios have different weight allocations. Correspondingly, different weight allocations have different control strategies for ventilation systems. The above example illustrates the control strategy for the ventilation system based on weight allocation in an industrial plant.

[0038] In some embodiments, the intelligent monitoring ventilation control method further includes: Perform regular calibration and compensation calculations on the sensor to improve data accuracy; The step of periodically calibrating the sensor includes: obtaining the time of each day and determining whether the current time is at a preset time trigger point; if it is at the preset time trigger point, starting calibration, wherein the calibration standard is that the environmental data detected by the sensor is the same as the atmospheric reference value data; The step of performing compensation calculation on the sensor includes: if the detection data of the sensor is different from the atmospheric reference value data after starting the calibration, compensation is performed using the atmospheric reference value data and the pre-stored sensor calibration value, and the compensated data is stored.

[0039] In this embodiment, due to the data drift caused by long-term use of the sensor (such as the CO2 sensor is affected by temperature and humidity), this will lead to inaccurate sensor measurement data. However, this embodiment can ensure the accuracy of the sensor detection data by regularly calibrating and compensating the sensor.

[0040] In this embodiment, the preset time trigger point is artificially set, and the preset time trigger point requires the detection environment at that moment to be close to the natural state. In this embodiment, 00:00 every day is the preset time trigger point. At this time, the carbon dioxide sensor is calibrated to the atmospheric reference value of 400ppm, and the oxygen sensor is calibrated to 20.9%.

[0041] In some embodiments, during the process of periodically calibrating and calculating compensation for the sensor, the intelligent monitoring ventilation control method further comprises: Determine whether the detection data of the sensor is greater than a fault threshold, wherein the fault thresholds corresponding to the detection data of different types of sensors are different, and the fault threshold is less than the exceeding threshold; If the detection data of the sensor is greater than the fault threshold, the number of times is recorded; If the number exceeds the first preset number, a fault alarm is triggered.

[0042] In this embodiment, taking the carbon dioxide sensor as an example, the fault threshold of the carbon dioxide concentration is 450ppm, and the first preset number of times is three times. If the detection data of the carbon dioxide sensor during calibration is greater than 450ppm (normally it should be 400ppm), and this happens more than three times, it means that the carbon dioxide sensor may be faulty, and thus a fault alarm is triggered.

[0043] In this embodiment, the error of the sensor after calibration is only ≤±2%, compared with the case of ±10% without calibration. Through calibration, the detection data in the detection environment can be read more accurately. In addition, calibration does not require manual intervention, which can reduce operation and maintenance costs, and can also dynamically compensate for the impact of changes in temperature and humidity.

[0044] In some embodiments, the intelligent monitoring ventilation control method further includes: connecting the ventilation system to the Internet of Things via a first communication mode; Periodically detecting a connection status of the first communication mode; If it is detected that the connection state has timed out for a second preset number of times in a row, it is determined that the ventilation system is disconnected from the Internet of Things; The ventilation system is linked to a mobile terminal using a second communication mode, so that a user can control the ventilation system using the mobile terminal.

[0045] In this embodiment, the first communication mode is WiFi-MQTT communication, that is, remote cloud communication, and the second communication mode is Bluetooth communication, that is, short-distance direct mobile terminal communication.

[0046] In this embodiment, the connection status of the first communication mode is periodically detected every 60 seconds, and the second preset number of times is 3 times. If 3 consecutive ping times expire (>5 seconds), it means that the WiFi-MQTT communication is disconnected and the ventilation system cannot be controlled through the Internet of Things. At this time, in order to restore control of the ventilation system, the device name is broadcast using Bluetooth communication, and then actively paired through the mobile app. After the app is paired, the user can send instructions to control the ventilation system through the mobile Bluetooth.

[0047] Therefore, this embodiment can still control the ventilation system through Bluetooth when the network is interrupted. In addition, the delay of Bluetooth communication itself is <50ms (WiFi is usually 100-300ms), which has a faster transmission speed and more efficient control of the ventilation system. In some detection environments without network, such as underground warehouses, the second communication mode that does not require networking can be used to control the ventilation system.

[0048] In some embodiments, the intelligent monitoring ventilation control method further includes: When the ventilation system is connected to the Internet of Things via the first communication mode, storing the operation data of the ventilation system in the cloud; When the ventilation system is disconnected from the Internet of Things, the operation data of the ventilation system is recorded, and when the connection state of the first communication mode is a normal link, the operation data is transmitted to the cloud.

[0049] In this embodiment, in order to maintain the completeness of the data, the data before the first communication mode is restored is cached locally, and after the first communication mode is restored, the cached data is transmitted to the cloud.

[0050] Therefore, the intelligent monitoring and ventilation control method provided in this embodiment can adjust the power of the ventilation system according to a variety of different environmental data, so as to ventilate the environment in a timely manner, reduce the risk of confined space operations, and reduce casualties. It can also enable corporate managers and safety supervision departments to supervise confined space operations through mobile terminals, cloud, etc., reduce operational risks, and avoid illegal operations.

[0051] See also Figure 2The embodiment of the present application also provides an intelligent monitoring ventilation control system, including: a sensor module 1, a main controller 2 and an execution module 3; the sensor module 1 is used to obtain detection data, and the sensor module includes at least two types of sensors, different types of sensors are used to detect different environmental data in the scene, and the detection data of different types of sensors correspond to different exceeding thresholds; the main controller 2 is used to determine whether at least one item of the detection data exceeds its corresponding exceeding threshold; the execution module 3 is used to increase the power of the ventilation system if the main controller determines that at least one item of the detection data exceeds its corresponding exceeding threshold.

[0052] In this embodiment, the types of sensors include: carbon dioxide sensor, oxygen sensor and dust sensor.

[0053] The main controller 2 integrates WiFi / Bluetooth, a dual-core processor, supports low power consumption mode, and has peripheral circuits including a signal conditioning circuit (amplification, filtering) and a power management module.

[0054] The execution module 3 selects a relay unit, which controls a 220V AC fan of the ventilation system, has a contact capacity of 10A, and has optocoupler isolation protection.

[0055] In this embodiment, the intelligent monitoring ventilation control system also includes a human-computer interaction module, which includes a display screen and an alarm. The display screen is a 0.96-inch OLED display screen: I2C interface, 128x64 resolution, which displays real-time concentration and red / green status. The carbon dioxide concentration, oxygen concentration, and dust concentration are in green state when they do not reach the exceeding threshold, and in red state when they reach the exceeding threshold. The alarm is a buzzer, and its parameters are active 5V, alarm frequency 2kHz, and sound pressure level ≥85dB.

[0056] The intelligent monitoring and ventilation control system provided in this embodiment can adjust the power of the ventilation system according to a variety of different environmental data, thereby ventilating the environment in a timely manner.

[0057] In some embodiments, the sensor module acquires the detection data periodically when acquiring the detection data.

[0058] In some embodiments, the intelligent monitoring and ventilation control system also includes: a weight allocation module, which classifies different types of sensors into corresponding weights according to different environments, and the sum of the weights of all types of sensors in each environment is 1; and adjusts the power of the ventilation system according to the weight of the detection data exceeding the corresponding exceeding threshold.

[0059] In some embodiments, the intelligent monitoring and ventilation control system also includes: a calibration and compensation module, which is used to perform regular calibration and compensation calculations on the sensor to improve data accuracy; wherein, the step of regularly calibrating the sensor includes: obtaining the time of each day, and determining whether the current time is at a preset time trigger point; if it is at the preset time trigger point, starting calibration, wherein the calibration standard is that the environmental data detected by the sensor is the same as the atmospheric reference value data; the step of performing compensation calculations on the sensor includes: if after starting the calibration, the detection data of the sensor is different from the atmospheric reference value data, then using the atmospheric reference value data and the pre-stored sensor calibration value to perform compensation, and storing the compensated data.

[0060] In some embodiments, the intelligent monitoring and ventilation control system also includes: a fault alarm module, used to determine whether the detection data of the sensor is greater than a fault threshold, wherein the fault thresholds corresponding to the detection data of different types of sensors are different, and the fault threshold is less than the exceeding threshold; if the detection data of the sensor is greater than the fault threshold, the number of times is recorded; if the number exceeds a first preset number of times, a fault alarm is triggered.

[0061] In some embodiments, the intelligent monitoring ventilation control system also includes: a communication module for connecting the ventilation system to the Internet of Things through a first communication mode; periodically detecting the connection status of the first communication mode; if it is detected that the connection status has timed out for a second preset number of consecutive times, it is determined that the ventilation system and the Internet of Things are in a disconnected state; and the ventilation system is linked to a mobile terminal using a second communication mode so that a user can control the ventilation system using the mobile terminal.

[0062] In some embodiments, the intelligent monitoring ventilation control system also includes: a data synchronization module, which is used to store the operating data of the ventilation system to the cloud when the ventilation system is connected to the Internet of Things via a first communication mode; when the ventilation system is disconnected from the Internet of Things, the operating data of the ventilation system is recorded, and when the connection state of the first communication mode is a normal link, the operating data is transmitted to the cloud.

[0063] The present application embodiment provides an electronic device. Figure 3 The electronic device includes: a memory 601, a processor 602, and a computer program stored in the memory 601 and executable on the processor 602. When the processor 602 executes the computer program, the intelligent monitoring ventilation control method described above is implemented.

[0064] Furthermore, the electronic device also includes: at least one input device 603 and at least one output device 604 .

[0065] The memory 601 , processor 602 , input device 603 and output device 604 are connected via a bus 605 .

[0066] The input device 603 may be a camera, a touch panel, a physical button or a mouse, etc. The output device 604 may be a display screen.

[0067] The memory 601 may be a high-speed random access memory (RAM) memory, or a non-volatile memory, such as a disk memory. The memory 601 is used to store a set of executable program codes, and the processor 602 is coupled to the memory 601 .

[0068] Furthermore, the embodiment of the present application also provides a computer-readable storage medium, which may be disposed in the electronic device in each of the above embodiments, and the computer-readable storage medium may be the memory 601 in the above embodiments. The computer-readable storage medium stores a computer program, which, when executed by the processor 602, implements the intelligent monitoring ventilation control method described in the above method embodiment.

[0069] Furthermore, the computer storable medium may also be a U disk, a mobile hard disk, a read-only memory (ROM), a RAM, a magnetic disk or an optical disk, or other medium that can store program codes.

[0070] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0071] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0072] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0073] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention.

[0074] It should be noted that, for the convenience of description, the aforementioned method embodiments are all described as a series of action combinations, but those skilled in the art should be aware that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0075] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] In summary, although the present invention has been disclosed as above in terms of preferred embodiments, the above preferred embodiments are not intended to limit the present invention. A person skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be based on the scope defined in the claims.

Claims

1. An intelligent monitoring ventilation control method, characterized in that: include: Acquire detection data of sensors, where there are at least two types of sensors, and different types of sensors are used to detect different environmental data in the scene, and the detection data of different types of sensors correspond to different exceeding thresholds; Determine whether at least one item of the detection data exceeds its corresponding exceeding threshold; If so, increase the power of the ventilation system.

2. The intelligent monitoring ventilation control method according to claim 1, characterized in that: The types of sensors include: carbon dioxide sensors, oxygen sensors and dust sensors; The intelligent monitoring ventilation control method also includes: When acquiring the detection data of the sensor, the detection data of the sensor is acquired periodically.

3. The intelligent monitoring ventilation control method according to claim 2, characterized in that: The intelligent monitoring ventilation control method also includes: Different types of sensors are classified with corresponding weights according to different environments. The sum of the weights of all types of sensors in each environment is 1. The power of the ventilation system is adjusted according to the weight of the detection data exceeding the corresponding exceeding threshold.

4. The intelligent monitoring ventilation control method according to claim 1, characterized in that: The intelligent monitoring ventilation control method also includes: Perform regular calibration and compensation calculations on the sensor to improve data accuracy; The step of periodically calibrating the sensor includes: obtaining the time of each day and determining whether the current time is at a preset time trigger point; if it is at the preset time trigger point, starting calibration, wherein the calibration standard is that the environmental data detected by the sensor is the same as the atmospheric reference value data; The step of performing compensation calculation on the sensor includes: if the detection data of the sensor is different from the atmospheric reference value data after starting the calibration, compensation is performed using the atmospheric reference value data and the pre-stored sensor calibration value, and the compensated data is stored.

5. The intelligent monitoring ventilation control method according to claim 4, characterized in that: In the process of periodically calibrating and calculating compensation for the sensor, the intelligent monitoring ventilation control method further includes: Determine whether the detection data of the sensor is greater than a fault threshold, wherein the fault thresholds corresponding to the detection data of different types of sensors are different, and the fault threshold is less than the exceeding threshold; If the detection data of the sensor is greater than the fault threshold, the number of times is recorded; If the number exceeds the first preset number, a fault alarm is triggered.

6. The intelligent monitoring ventilation control method according to claim 1, characterized in that: The intelligent monitoring ventilation control method also includes: connecting the ventilation system to the Internet of Things via a first communication mode; Periodically detecting a connection status of the first communication mode; If it is detected that the connection state has timed out for a second preset number of times in a row, it is determined that the ventilation system is disconnected from the Internet of Things; The ventilation system is linked to a mobile terminal using a second communication mode, so that a user can control the ventilation system using the mobile terminal.

7. The intelligent monitoring ventilation control method according to claim 6, characterized in that: The intelligent monitoring ventilation control method also includes: When the ventilation system is connected to the Internet of Things via the first communication mode, storing the operation data of the ventilation system in the cloud; When the ventilation system is disconnected from the Internet of Things, the operation data of the ventilation system is recorded, and when the connection state of the first communication mode is a normal link, the operation data is transmitted to the cloud.

8. An intelligent monitoring ventilation control system, characterized in that: include: A sensor module, used for acquiring detection data, wherein the sensor module includes at least two types of sensors, and different types of sensors are used to detect different environmental data in the scene, and the detection data of different types of sensors correspond to different exceeding thresholds; A main controller, used for determining whether at least one item of the detection data exceeds its corresponding exceeding threshold value; The execution module is used to increase the power of the ventilation system if the main controller determines that at least one item of the detection data exceeds its corresponding exceeding threshold value.

9. An electronic device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method described in any one of claims 1 to 7 is implemented.

Images