CN116539807A

CN116539807A - Intelligent formaldehyde detection device and formaldehyde detection method

Info

Publication number: CN116539807A
Application number: CN202310483706.7A
Authority: CN
Inventors: 郭明强; 袁振; 姚振虎
Original assignee: AO Smith China Water Heater Co Ltd
Current assignee: AO Smith China Water Heater Co Ltd
Priority date: 2023-04-28
Filing date: 2023-04-28
Publication date: 2023-08-04

Abstract

The application provides an intelligent formaldehyde detection device and a formaldehyde detection method, wherein the device comprises a formaldehyde detection unit and a data monitoring unit; the formaldehyde detection unit is used for detecting the indoor formaldehyde concentration and transmitting the indoor formaldehyde concentration to the data monitoring unit; the data monitoring unit comprises a data monitoring module and a data processing module; the data monitoring module is used for determining whether the absolute value of the difference value between the formaldehyde concentration and the historical formaldehyde concentration is larger than a preset threshold value, if not, displaying the formaldehyde concentration, and if yes, transmitting the formaldehyde concentration to the data processing module; the data processing module is used for determining the detection value of the formaldehyde influence factor, determining whether the formaldehyde concentration needs to be corrected according to the variation of the detection value, if so, displaying the formaldehyde concentration after correcting the formaldehyde concentration based on the variation of the detection value, and if not, displaying the formaldehyde concentration. The formaldehyde concentration detection and display device can improve accuracy and anti-interference performance of formaldehyde concentration detection and display.

Description

Intelligent formaldehyde detection device and formaldehyde detection method

Technical Field

The application relates to the technical field of formaldehyde detection, in particular to an intelligent formaldehyde detection device and a formaldehyde detection method.

Background

This section is intended to provide a background or context to the embodiments of the application recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

Along with the development and progress of science and technology, the life style of people is gradually changed, and the production and life of modern people are mainly concentrated in the room, so that the condition of the indoor environment greatly influences the health of people, especially the condition of the indoor air environment.

Formaldehyde is a high carcinogen, has great harm to the health of people, and when the indoor air environment is detected, the most important detection item is the detection of indoor formaldehyde concentration. However, the formaldehyde concentration of the current formaldehyde detection device is affected by various factors, so that a larger error may exist in the formaldehyde detection value detected by the formaldehyde detection device compared with the indoor real formaldehyde concentration value, and the accuracy of the formaldehyde concentration value detected and displayed by the current formaldehyde detection device is low, and the anti-interference performance is poor.

Disclosure of Invention

An object of the application is to provide an intelligent formaldehyde detection device, discernment detects the unusual in the formaldehyde concentration that obtains, revises based on formaldehyde influence factor's detected value, improves formaldehyde detection device and detects and show formaldehyde concentration's accuracy and interference immunity. Another object of the present application is to provide a formaldehyde detection method.

To achieve the above object, an aspect of the present application discloses an intelligent formaldehyde detection device, including:

a formaldehyde detection unit and a data monitoring unit;

the formaldehyde detection unit is used for detecting the indoor formaldehyde concentration and transmitting the formaldehyde concentration to the data monitoring unit;

the data monitoring unit comprises a data monitoring module and a data processing module;

the data monitoring module is used for determining whether the absolute value of the difference value between the formaldehyde concentration and the historical formaldehyde concentration is larger than a preset threshold value, if not, displaying the formaldehyde concentration, and if yes, transmitting the formaldehyde concentration to the data processing module;

the data processing module is used for determining a detection value of a formaldehyde influence factor, determining whether the formaldehyde concentration needs to be corrected according to the variation of the detection value, if so, displaying the formaldehyde concentration after correcting the formaldehyde concentration based on the variation of the detection value, and if not, displaying the formaldehyde concentration.

Optionally, the display unit is further included;

the display unit is used for receiving and displaying the formaldehyde concentration transmitted by the data monitoring unit.

Optionally, the data monitoring module is configured to determine whether an absolute value of a difference between the formaldehyde concentration and the formaldehyde concentration obtained by previous processing by the data monitoring unit is greater than a preset threshold.

Optionally, the formaldehyde influencing factor comprises at least one of the following: indoor temperature, indoor humidity, and total volatile organic compounds.

Optionally, at least one of the following is further included: a temperature sensor, a humidity sensor, and a total volatile organic compound detector;

the temperature sensor is used for detecting indoor temperature and transmitting the indoor temperature as the detection value to the data processing module;

the humidity sensor is used for detecting indoor humidity and transmitting the indoor humidity as the detection value to the data processing module;

the total volatile organic compound detector is used for detecting indoor total volatile organic compounds, and the total volatile organic compounds are used as detection values to be transmitted to the data processing module.

Optionally, the data processing module is configured to determine whether the variation of the detection value is greater than a preset variation threshold, and if yes, correct the formaldehyde concentration based on the variation of the detection value.

Optionally, the formaldehyde influencing factors include indoor temperature and indoor humidity;

the data processing module is used for correcting the formaldehyde concentration based on the change amount of the indoor temperature and the change amount of the indoor humidity.

the data processing module is used for determining whether the change amount of the indoor temperature is larger than a preset temperature change threshold value and/or whether the change amount of the indoor humidity is larger than a preset humidity change threshold value, and if so, correcting the formaldehyde concentration based on the corresponding change amount of the indoor temperature and/or the change amount of the indoor humidity.

Optionally, the formaldehyde influencing factors include indoor temperature, indoor humidity and total volatile organic compounds;

the data processing module is used for performing temperature and humidity verification on the formaldehyde concentration, the temperature and humidity verification comprises determining whether the variation of the indoor temperature is larger than a preset temperature variation threshold value and/or whether the variation of the indoor humidity is larger than a preset humidity variation threshold value, and if yes, correcting the formaldehyde concentration based on the variation of the indoor temperature and/or the variation of the indoor humidity;

after temperature and humidity verification, determining whether the variation of the total volatile organic compounds is larger than an organic compound variation threshold, and if not, displaying the formaldehyde concentration after temperature and humidity verification; if so, correcting the formaldehyde concentration based on the amount of change in the total volatile organic compounds.

Optionally, the apparatus further comprises a fine particulate matter concentration detector for detecting the fine particulate matter concentration in the chamber.

Optionally, the data processing module is configured to determine whether the variation of the concentration of the fine particulate matter in the room is greater than a preset variation of the concentration of the fine particulate matter if the variation of the total volatile organic compounds is greater than a variation of the organic compounds, and correct the concentration of formaldehyde based on the variation of the total volatile organic compounds if the variation of the concentration of the fine particulate matter is greater than the variation of the preset variation of the concentration of the fine particulate matter, and correct the concentration of formaldehyde based on the variation of the total volatile organic compounds and the variation of the concentration of the fine particulate matter if the variation of the total volatile organic compounds is greater than the variation of the concentration of the fine particulate matter.

Optionally, the formaldehyde detection unit includes a formaldehyde sensor for detecting and outputting the formaldehyde concentration in the room.

The application also discloses a formaldehyde detection method, which comprises the following steps:

determining whether the absolute value of the difference value between the indoor formaldehyde concentration and the historical formaldehyde concentration detected by the formaldehyde detection unit is larger than a preset threshold value;

if not, displaying the formaldehyde concentration;

if so, determining a detection value of the formaldehyde influence factor, determining whether the formaldehyde concentration needs to be corrected according to the variation of the detection value, if so, displaying after correcting the formaldehyde concentration based on the variation of the detection value, and if not, displaying the formaldehyde concentration.

Optionally, determining whether the absolute value of the difference between the indoor formaldehyde concentration and the historical formaldehyde concentration detected by the formaldehyde detecting unit is greater than a preset threshold specifically includes:

and determining whether the absolute value of the difference value between the formaldehyde concentration and the previous formaldehyde concentration is larger than a preset threshold value.

Optionally, the determining whether the formaldehyde concentration needs to be corrected according to the variation of the detection value specifically includes:

determining whether the variation of the detection value is larger than a preset variation threshold value;

if so, correcting the formaldehyde concentration based on the variation of the detection value.

the correcting the formaldehyde concentration based on the variation of the detection value specifically includes:

and correcting the formaldehyde concentration based on the change amount of the indoor temperature and the change amount of the indoor humidity.

Determining whether the change amount of the indoor temperature is larger than a preset temperature change threshold value and/or whether the change amount of the indoor humidity is larger than a preset humidity change threshold value;

if so, correcting the formaldehyde concentration based on the corresponding change amount of the indoor temperature and/or the corresponding change amount of the indoor humidity.

the formaldehyde detection method further comprises the following steps:

determining whether the variation of the total volatile organic compounds is greater than an organic compound variation threshold, and if not, displaying the formaldehyde concentration;

if so, correcting the formaldehyde concentration based on the amount of change in the total volatile organic compounds.

Optionally, the correcting the formaldehyde concentration based on the variation of the total volatile organic compound specifically includes:

determining whether the variation of the concentration of the fine particulate matters in the room is larger than a preset fine particulate matter concentration variation threshold value;

if not, correcting the formaldehyde concentration based on the variation of the total volatile organic compounds;

if so, correcting the formaldehyde concentration based on the amount of change in the total volatile organic compound and the amount of change in the fine particulate matter concentration.

The application also discloses a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the aforementioned method when executing the computer program.

The intelligent formaldehyde detection device comprises a formaldehyde detection unit and a data monitoring unit. The formaldehyde detection unit is used for detecting the indoor formaldehyde concentration and transmitting the formaldehyde concentration to the data monitoring unit. The data monitoring unit comprises a data monitoring module and a data processing module. The data monitoring module is used for determining whether the absolute value of the difference value between the formaldehyde concentration and the historical formaldehyde concentration is larger than a preset threshold value, if not, displaying the formaldehyde concentration, and if yes, transmitting the formaldehyde concentration to the data processing module. The data processing module is used for determining a detection value of a formaldehyde influence factor, determining whether the formaldehyde concentration needs to be corrected according to the variation of the detection value, if so, displaying the formaldehyde concentration after correcting the formaldehyde concentration based on the variation of the detection value, and if not, displaying the formaldehyde concentration. Therefore, the data monitoring unit is arranged to monitor the change of the formaldehyde concentration detected by the formaldehyde detecting unit, if the absolute value of the difference between the detected formaldehyde concentration and the historical formaldehyde concentration is not larger than the preset threshold, the fluctuation of the detected formaldehyde concentration is in a normal range, the formaldehyde concentration can be directly displayed, whether the abnormal change of the formaldehyde concentration is possibly caused by the formaldehyde influencing factor or not is further determined by the data processing module according to the change amount of the formaldehyde influencing factor, whether the formaldehyde concentration is corrected according to the change amount of the formaldehyde influencing factor detection value is determined according to the change amount of the formaldehyde influencing factor, the influence of the formaldehyde influencing factor change on the formaldehyde concentration detection is eliminated, and the problem of inaccurate formaldehyde concentration detection caused by the change of the formaldehyde influencing factor can be eliminated to a certain extent after the formaldehyde concentration is corrected according to the detection value of the formaldehyde influencing factor which is possibly influenced by the formaldehyde concentration detection, so that the formaldehyde concentration detection and the display accuracy is improved.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:

FIG. 1 is a schematic diagram of the structure of the intelligent formaldehyde detection device provided by the application;

FIG. 2 is a schematic structural diagram of an intelligent formaldehyde detection device provided by the application, comprising a display unit;

fig. 3 and fig. 4 are schematic structural diagrams of an intelligent formaldehyde detection device provided by the application for detecting formaldehyde influencing factors;

FIG. 5 is a schematic diagram of a structure of an intelligent formaldehyde detection device provided by the application comprising a formaldehyde sensor;

fig. 6 to 10 are flowcharts of the formaldehyde detection method provided in the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

In the present application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal" and the like indicate an azimuth or a positional relationship based on that shown in the drawings. These terms are used primarily to better describe the present application and its embodiments and are not intended to limit the indicated device, element or component to a particular orientation or to be constructed and operated in a particular orientation.

The positional relationship of "parallel" or "perpendicular" includes not only the positional relationship of completely "parallel" or "perpendicular" but also the positional relationship in which the angular deviation from completely "parallel" or "perpendicular" is within a predetermined deviation range.

Also, some of the terms described above may be used to indicate other meanings in addition to orientation or positional relationships, for example, the term "upper" may also be used to indicate some sort of attachment or connection in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.

Furthermore, the terms "mounted," "configured," "provided," "connected," "coupled," and "sleeved" are to be construed broadly. For example, it may be a fixed connection, a removable connection, or a unitary construction; may be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements, or components. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art as the case may be.

It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 is a schematic structural diagram of an intelligent formaldehyde detection device provided by the application, and as shown in fig. 1, the intelligent formaldehyde detection device provided by the embodiment of the application comprises a formaldehyde detection unit 1 and a data monitoring unit 2.

The formaldehyde detection unit 1 is used for detecting the formaldehyde concentration in a room and transmitting the formaldehyde concentration to the data monitoring unit 2.

The data monitoring unit 2 comprises a data monitoring module 21 and a data processing module 22.

The data monitoring module 21 is configured to determine whether an absolute value of a difference between the formaldehyde concentration and the historical formaldehyde concentration is greater than a preset threshold, and if not, display the formaldehyde concentration, and if yes, transmit the formaldehyde concentration to the data processing module 22.

The data processing module 22 is configured to determine a detection value of a formaldehyde influencing factor, determine whether the formaldehyde concentration needs to be corrected according to a variation of the detection value, if so, display the formaldehyde concentration after correcting the formaldehyde concentration based on the variation of the detection value, and if not, display the formaldehyde concentration.

According to the formaldehyde concentration detection method, the data monitoring unit is arranged, the change of the formaldehyde concentration detected by the formaldehyde detection unit is monitored, if the absolute value of the difference value between the detected formaldehyde concentration and the historical formaldehyde concentration is not larger than the preset threshold value, the fluctuation of the detected formaldehyde concentration is in a normal range, the formaldehyde concentration can be directly displayed, whether the abnormal change of the formaldehyde concentration is possibly caused by the formaldehyde influence factor or not is further determined according to the change amount of the formaldehyde influence factor by the data processing module, and therefore whether the formaldehyde concentration is corrected according to the change amount of the formaldehyde influence factor detection value or not is determined according to the formaldehyde influence factor, and the influence of the formaldehyde influence factor change on the formaldehyde concentration detection is eliminated. According to the formaldehyde concentration which is displayed after the correction is carried out on the detection value of the formaldehyde influence factor which possibly influences the formaldehyde concentration detection, the problem that the formaldehyde concentration detection is inaccurate due to the change of the formaldehyde influence factor can be eliminated to a certain extent, and the accuracy of the formaldehyde concentration detection and display is improved.

Fig. 2 is a schematic structural diagram of the intelligent formaldehyde detection device provided in the present application, as shown in fig. 2, and in an alternative embodiment, the intelligent formaldehyde detection device further includes a display unit 3. The display unit 3 is used for receiving and displaying the formaldehyde concentration transmitted by the data monitoring unit 2.

It should be noted that, in this alternative embodiment, the display unit 3 may be disposed in the intelligent formaldehyde detecting device, that is, the display function of formaldehyde concentration is integrated in the formaldehyde detecting device, and the functions of detecting, correcting, displaying and the like of formaldehyde concentration can be implemented through one device, so that the formaldehyde detecting device is complete in function and convenient to carry.

Of course, in other embodiments, the data monitoring unit 2 may also transmit the formaldehyde concentration to other external devices for display in a wired or wireless manner, for example, the data monitoring unit 2 transmits the formaldehyde concentration to a central controller of an intelligent home system based on the internet of things for display, so as to achieve the purposes of uniformly controlling and interacting with a user when the formaldehyde detection device is connected to the intelligent home system.

In this application, the data monitoring module 21 is configured to determine whether the absolute value of the difference between the formaldehyde concentration and the historical formaldehyde concentration is greater than a preset threshold, and if not, display the formaldehyde concentration, and if yes, transmit the formaldehyde concentration to the data processing module 22.

It can be understood that in the prior art, a formaldehyde sensor based on an electrochemical principle is easy to be interfered by formaldehyde influencing factors of a detection environment to solve the problem of inaccurate detection concentration value, the intelligent formaldehyde detection device is provided with a data monitoring unit 2, the change of the indoor formaldehyde concentration detected by the formaldehyde detection unit 1 is monitored through a data monitoring module 21 in the data monitoring unit 2, and the abnormal condition that the change of the formaldehyde concentration is overlarge is detected through a preset threshold value. The excessive change of the formaldehyde concentration is probably caused by the change of the formaldehyde influencing factors, so that the change condition of the formaldehyde influencing factors which influence the detection of the formaldehyde concentration can be determined before the formaldehyde concentration obtained by the detection is displayed, the formaldehyde concentration is corrected based on the change amount of the formaldehyde influencing factors, the corrected formaldehyde concentration is more similar to the formaldehyde concentration in the detection environment, and the accuracy of the formaldehyde detection and the display is improved.

In an alternative embodiment, the data monitoring module 21 is configured to determine whether the absolute value of the difference between the formaldehyde concentration and the formaldehyde concentration obtained by the previous processing by the data monitoring unit 2 is greater than a preset threshold.

It can be understood that the data monitoring module 21 determines whether the formaldehyde concentration detected by the formaldehyde detecting unit 1 is abnormal each time, and the data processing module 22 corrects the formaldehyde concentration with large variation according to the variation of the formaldehyde influencing factor and then displays the corrected formaldehyde concentration. Thus, the formaldehyde concentration processed by the data processing module 22 is closer to the indoor formaldehyde concentration, and the accuracy of the displayed formaldehyde concentration is higher. Based on this, in this alternative embodiment, the data monitoring module 21 determines whether the absolute value of the difference between the formaldehyde concentration detected by the current formaldehyde detecting unit and the previous formaldehyde concentration is greater than a preset threshold based on the previous formaldehyde concentration, and the base formaldehyde concentration in the determination process is more accurate, so that the accuracy of abnormal formaldehyde concentration detection is improved.

Of course, in other embodiments, the historical formaldehyde concentration may also be set by using an average value of the formaldehyde concentration in a certain historical time period, taking the current detection time as a reference, and selecting an average value of the formaldehyde concentration in a previously preset historical time period, or other possible manners, which are not specifically limited herein.

In an alternative embodiment, the formaldehyde influencing factors include at least: indoor temperature, indoor humidity, or total volatile organic compounds.

In order to solve the problem that the interference of environmental factors to formaldehyde concentration detection cannot be eliminated in the prior art, the formaldehyde concentration detection method and device is provided with the data processing module 22, and after the data processing module 22 obtains the detection value of the formaldehyde influence factor in the environment, the formaldehyde concentration is corrected based on the detection value so as to improve the accuracy of the formaldehyde concentration finally displayed to a user.

Specifically, when the indoor formaldehyde concentration is detected by sampling or real-time detection, the detection environment can influence the formaldehyde concentration. And the change in the detection environment may be a change in formaldehyde influencing factors due to the user's daily living habits. For example, when a user turns on or off an air conditioner, the indoor ambient temperature may change, and the change in temperature may affect the process of detecting the formaldehyde concentration by the formaldehyde detecting unit, so that the detected formaldehyde concentration fluctuates. Similarly, when a user switches on or off the humidifier, the change in humidity also affects the process of detecting the concentration of formaldehyde by the formaldehyde detecting unit, so that the detected concentration of formaldehyde fluctuates.

Thus, the change of these formaldehyde influencing factors can lead to the change of the formaldehyde concentration detected by the formaldehyde detecting unit, so that the formaldehyde concentration displayed by the formaldehyde detecting device is inaccurate. Therefore, after the data processing module 22 obtains the corresponding detection value, if the formaldehyde concentration change exceeds the preset threshold, the formaldehyde concentration is corrected by considering the main formaldehyde influencing factors, so as to improve the accuracy of the formaldehyde concentration finally displayed to the user.

As shown in fig. 3, the intelligent formaldehyde detection device further comprises at least one of the following: a temperature sensor 4, a humidity sensor 5, and a total volatile organic compound detector 6.

The temperature sensor 4 is configured to detect an indoor temperature, and transmit the indoor temperature as the detection value to the data processing module 22.

The humidity sensor 5 is configured to detect the indoor humidity, and transmit the indoor humidity as the detected value to the data processing module 22.

The total volatile organic compound detector 6 is configured to detect the total volatile organic compound in the room, and transmit the total volatile organic compound as the detection value to the data processing module 22.

In particular, it is understood that the formaldehyde influencing factor may be the indoor temperature, the indoor humidity or the total volatile organic compounds in the room. In practical application, the detection values of the formaldehyde influencing factors can be obtained through detection by detection equipment arranged outside the indoor formaldehyde detection device, and the data monitoring unit of the formaldehyde detection device can acquire the detection values of the formaldehyde influencing factors from the external detection equipment or receive the detection values of the formaldehyde influencing factors transmitted by the external detection equipment. Of course, in an alternative embodiment, the formaldehyde influencing factor detecting device may be integrated into an intelligent formaldehyde detecting device to obtain an intelligent formaldehyde detecting device with functions of detecting and displaying various values such as formaldehyde concentration, humidity, temperature and total volatile organic compounds.

In an alternative embodiment, at least one of the temperature sensor 4, the humidity sensor 5 and the total volatile organic compound detector 6 may be provided in the intelligent formaldehyde detection device for detecting the detected values of the indoor temperature, the indoor humidity and the total volatile organic compound, respectively. Specifically, the temperature sensor 4 may detect the indoor temperature, and transmit the detection result as a detection value of the indoor temperature to the data processing module 22, the humidity sensor 5 may detect the indoor humidity, and transmit the detection result as a detection value of the indoor humidity to the data processing module 22, and the total volatile organic compound detector 6 may detect the total volatile organic compound in the room, and transmit the detection result as a detection value of the total volatile organic compound to the data processing module 22.

In an alternative embodiment, the data processing module 22 is configured to determine whether the variation of the detected value is greater than a preset variation threshold, and if so, correct the formaldehyde concentration based on the variation of the detected value.

Specifically, it can be understood that, when the absolute value of the difference between the current detected formaldehyde concentration and the historical formaldehyde concentration is greater than the preset threshold, the data monitoring module 21 indicates that the current detected formaldehyde concentration is abnormal, where the abnormality may be caused by a change of formaldehyde influencing factors in the indoor environment or a large change of the indoor formaldehyde concentration determination. In order to determine whether the formaldehyde influencing factor has a large influence on the abnormal formaldehyde concentration, it may be calculated whether the variation of the detected value of the formaldehyde influencing factor is greater than a preset variation threshold, if so, it indicates that the variation of the formaldehyde influencing factor is large, which may cause the variation of the detected formaldehyde concentration to exceed the preset threshold too much. In this case, the formaldehyde concentration obtained by detection needs to be corrected according to the variation of the formaldehyde influencing factors, so that the corrected formaldehyde concentration is closer to the real formaldehyde concentration in the room, and the detection accuracy of the formaldehyde concentration is improved.

Of course, in practical application, the historical detection value may be set in a feasible manner such as a detection value at a certain time point of the history, an average value of the detection value in a certain time period of the history, or an average value of the detection value in a preset time period of the history before the current time by taking the current time as a reference.

If the variation of the detected value of the formaldehyde influencing factor is larger than the preset variation threshold, the detected value of one or more formaldehyde influencing factors which are currently detected obviously fluctuates compared with the value in the normal environment, and at the moment, the detected formaldehyde concentration is influenced by the formaldehyde influencing factor in the environment and has larger difference from the real formaldehyde concentration value, if the detected formaldehyde influencing factor is directly displayed to a user, the accuracy is poor, and the detected formaldehyde influencing factor can be displayed to the user only by correcting the detected formaldehyde influencing factor. Otherwise, if the absolute value of the difference is smaller than the threshold, it means that the formaldehyde concentration currently measured by the formaldehyde detecting unit 1 is not affected by the formaldehyde influencing factor in the environment or is less affected by the formaldehyde influencing factor in the environment, and the formaldehyde concentration may not be corrected and may be directly displayed to the user.

In alternative embodiments, the formaldehyde-affecting factor includes indoor temperature and indoor humidity.

The data processing module 22 is used for correcting the formaldehyde concentration based on the change amount of the indoor temperature and the change amount of the indoor humidity.

Specifically, when formaldehyde concentration is detected, the indoor temperature and indoor humidity can have significant influence on the formaldehyde detection process, and when the formaldehyde concentration obtained by detection is obviously changed, most of formaldehyde concentration is caused by the change of the indoor temperature and indoor humidity. Thus, in this alternative embodiment, the abnormal formaldehyde concentration is corrected in consideration of formaldehyde influencing factors of the indoor temperature and the indoor humidity. The data processing module 22 is configured to determine whether the variation of the indoor temperature is greater than a preset temperature variation threshold and/or whether the variation of the indoor humidity is greater than a preset humidity variation threshold, and if so, correct the formaldehyde concentration based on the corresponding variation of the indoor temperature and/or the variation of the indoor humidity.

In a specific example, the data correction module 22 is configured to determine whether the amount of change in the indoor temperature is greater than a preset temperature change threshold and whether the amount of change in the indoor humidity is greater than a preset humidity change threshold. If the change amount of the indoor temperature is larger than a preset temperature change threshold and the change amount of the indoor humidity is not larger than a preset humidity change threshold, obtaining a correction amount based on the change amount of the indoor temperature, and adding the correction amount to the formaldehyde concentration to correct the formaldehyde concentration; if the change amount of the indoor humidity is larger than a preset humidity change threshold value and the change amount of the indoor temperature is not larger than a preset temperature change threshold value, obtaining a correction amount based on the change amount of the indoor humidity, and adding the correction amount to the formaldehyde concentration to correct the formaldehyde concentration; and if the change amount of the indoor temperature is larger than a preset temperature change threshold value and the change amount of the indoor humidity is larger than a preset humidity change threshold value, obtaining a first correction amount based on the change amount of the indoor temperature, obtaining a second correction amount based on the change amount of the indoor humidity, obtaining a third correction amount based on the change amounts of the indoor temperature and the indoor humidity, obtaining a total correction amount based on the first correction amount, the second correction amount and the third correction amount, and adding the total correction amount to the formaldehyde concentration to correct the formaldehyde concentration.

Specifically, the formaldehyde concentration may be corrected by the formula (1), and the formaldehyde concentration detected by the formaldehyde detecting unit is substituted into the formula (1), and the corrected formaldehyde concentration C01 is calculated.

C01＝a×ΔT+b×ΔRH+c×ΔT×ΔRH+C0 (1)

Wherein, deltaT is the variation of the temperature detection value; Δrh is the amount of change in the humidity detection value; c0 is the formaldehyde concentration detected by the formaldehyde detection unit 1; a, b, c are constants.

Specifically, it can be understood that when formaldehyde concentration is detected, the indoor temperature or indoor humidity can have a significant influence on the formaldehyde detection process, so that an abnormal condition that the measurement result may change by more than a preset threshold value may occur.

Thus, in an alternative embodiment, the data processing module 22 may only consider the amount of change in the room temperature when modifying the formaldehyde concentration to determine whether the formaldehyde concentration needs to be modified, and if so, modify the formaldehyde concentration based on the amount of change in the room temperature.

In a specific example, the formaldehyde concentration may be corrected by the formula (2), and the formaldehyde concentration detected by the formaldehyde detecting unit may be substituted into the formula (2), so as to calculate the corrected formaldehyde concentration C01.

C01＝a×ΔT+C0 (2)

In another alternative embodiment, the data processing module 22 may only consider the amount of change in the indoor humidity when modifying the formaldehyde concentration to determine whether the formaldehyde concentration needs to be modified, and if so, modify the formaldehyde concentration based on the amount of change in the indoor humidity.

In a specific example, the formaldehyde concentration may be corrected by the formula (3), and the formaldehyde concentration detected by the formaldehyde detecting unit may be substituted into the formula (3), and the corrected formaldehyde concentration C01 may be calculated.

C01＝b×ΔRH+C0 (3)

In other alternative embodiments, the data processing module 22 may determine whether the formaldehyde concentration needs to be corrected in consideration of the amount of change in the indoor temperature and the amount of change in the indoor humidity when correcting the formaldehyde concentration, and if so, correct the formaldehyde concentration based on the amount of change in the indoor temperature and the amount of change in the indoor humidity. In a specific example, the formaldehyde may be corrected by the formula (1) to obtain the corrected formaldehyde concentration C01. Of course, in other embodiments, specific modifications may be determined by those skilled in the art, and the present application is not limited thereto.

In alternative embodiments, the formaldehyde-affecting factors include room temperature, room humidity, and total volatile organic compounds.

The data processing module 22 is configured to perform temperature and humidity verification on the formaldehyde concentration, where the temperature and humidity verification includes determining whether the variation of the indoor temperature is greater than a preset temperature variation threshold and/or whether the variation of the indoor humidity is greater than a preset humidity variation threshold, and if so, correcting the formaldehyde concentration based on the variation of the indoor temperature and/or the variation of the indoor humidity.

Specifically, it is understood that the total volatile organic compounds are one of factors affecting the detection result of formaldehyde concentration in addition to the indoor temperature and indoor humidity. Thus, in this embodiment, after the formaldehyde concentration is corrected based on the amount of change in the indoor temperature and/or the amount of change in the indoor humidity, the formaldehyde concentration is further corrected based on the amount of change in the total volatile organic compound, and the method of correcting the formaldehyde concentration based on the amount of change in the indoor temperature and/or the amount of change in the indoor humidity is as described above and will not be described in detail.

In the embodiment, the formaldehyde concentration obtained by detection is corrected by considering various formaldehyde influencing factors, and the formaldehyde concentration is subjected to temperature and humidity verification by adopting the indoor temperature and the indoor humidity, and the total volatile organic compounds are corrected after the formaldehyde concentration is subjected to temperature and humidity verification, so that the correction effect of the total volatile organic compounds influencing factors is improved. Specifically, when the formaldehyde concentration is corrected by considering the indoor temperature and the indoor humidity, determining whether the change amount of the indoor temperature is larger than a preset temperature change threshold value and/or whether the change amount of the indoor humidity is larger than a preset humidity change threshold value, if so, correcting the formaldehyde concentration based on the corresponding change amount of the indoor temperature and/or the change amount of the indoor humidity, and then correcting the corrected formaldehyde concentration by using the total volatile organic compounds. If not, the correction of the total volatile organic compounds is directly carried out on the formaldehyde concentration. That is, in this embodiment, whether or not the formaldehyde concentration is corrected based on the amount of change in the indoor temperature and/or the indoor humidity, the correction of the total volatile organic compound is continued for the formaldehyde concentration, and the formaldehyde concentration is corrected based on various formaldehyde influencing factors to improve the accuracy of the corrected formaldehyde concentration.

The data processing module 22 compares the collected change amount of the total volatile organic compounds with a preset change threshold value of the total volatile organic compounds, and if the change value of the total volatile organic compounds is greater than the change threshold value of the total volatile organic compounds, the total volatile organic compounds in the environment have significant fluctuation, and the formaldehyde concentration needs to be corrected. When the formaldehyde concentration is corrected based on the total volatile organic compound, the change value of the total volatile organic compound can be input into a pre-established functional relation for calculation, and the corrected formaldehyde concentration is obtained.

In a specific example, the formaldehyde concentration of formula (4) may be used to correct the total volatile organic compounds to obtain a corrected formaldehyde concentration:

wherein, C0' is the formaldehyde concentration at the previous moment; Δc0 is the formaldehyde concentration variation value; delta TVOC is the total volatile organic compound variation; d (D) _TVOC Is the threshold of change of the organic compound.

It can be understood that, in this embodiment, after the formaldehyde concentration is corrected based on the temperature and humidity variation, the formaldehyde concentration is compensated based on the total volatile organic compounds, so that factors possibly influencing the formaldehyde concentration detection are more comprehensively considered, and the formaldehyde concentration is sequentially corrected by considering the influence of each formaldehyde influencing factor, so that the accuracy of the formaldehyde concentration detection result is further improved.

In an alternative embodiment, the data processing module 22 is further configured to determine whether the variation of the indoor fine particulate matter concentration (PM 2.5) is greater than a preset fine particulate matter concentration variation threshold if the variation of the total volatile organic compound is greater than an organic compound variation threshold, and if not, correct the formaldehyde concentration based on the variation of the total volatile organic compound, and if so, correct the formaldehyde concentration based on the variation of the total volatile organic compound and the variation of the fine particulate matter concentration.

Specifically, the change of the total volatile organic compounds in the room may be caused by various factors, wherein when the behavior of specific scenes such as cooking, smoking and the like occurs in the room, the influence of the change of the total volatile organic compounds in the room on formaldehyde concentration detection is changed. Thus, whether or not the behavior of these specific scenes occurs can be determined by the change in the concentration of the fine particulate matter in the room, so that the change in the total volatile organic compound in the room under the specific scenes can be recognized, and the formaldehyde concentration is corrected in consideration of the total volatile organic compound in the room and the concentration of the fine particulate matter for these specific scenes.

Accordingly, the data processing module 22 continues to acquire the variation of the fine particulate matter concentration detected by the fine particulate matter concentration detector 7 after determining that the variation of the total volatile organic compounds in the room is greater than the organic compound variation threshold, and compares the variation with a preset fine particulate matter concentration variation threshold.

When the variation of the fine particulate matter concentration detected by the fine particulate matter concentration detector 7 does not exceed the preset fine particulate matter concentration variation threshold, the formaldehyde concentration is still corrected based on the variation of the total volatile organic compounds, and the method of correcting the formaldehyde concentration based on the variation of the total volatile organic compounds is as described above and will not be described here.

When the amount of change in the fine particulate matter concentration detected by the fine particulate matter concentration detector 7 exceeds a preset fine particulate matter concentration change threshold value set in advance, the formaldehyde concentration is corrected based on the amount of change in the total volatile organic compound and the amount of change in the fine particulate matter concentration.

Specifically, the amount of change in the total volatile organic compounds and the amount of change in the concentration of fine particles are input into a pre-established functional relationship, and the concentration of formaldehyde is corrected.

In a specific example, the formula (5) may be selected to correct the concentration of the total volatile organic compounds and the concentration of the fine particulate matters, and the formaldehyde concentration detected by the formaldehyde detecting unit is substituted into the formula (5) to calculate the corrected formaldehyde concentration.

C01＝C0'+ΔC0×k/(ΔTVOC×ΔPM2.5) (5)

Wherein, C0' is the formaldehyde concentration at the previous moment; Δc0 is the formaldehyde concentration variation value; delta TVOC is the total volatile organic compound variation; Δpm2.5 is a fine particulate matter concentration variation value; k is a constant.

It can be understood that, in this embodiment, after the formaldehyde concentration is corrected based on the temperature and humidity variation, the formaldehyde concentration is compensated based on the total volatile organic compound and the fine particulate matter concentration, so that factors possibly influencing the formaldehyde concentration detection are more comprehensively considered, and the accuracy of the formaldehyde concentration detection result is further improved.

Fig. 4 is a schematic structural diagram of the intelligent formaldehyde detection device provided in the present application, as shown in fig. 4, and in an alternative embodiment, the intelligent formaldehyde detection device further includes a fine particulate matter concentration detector 7 for detecting the concentration of fine particulate matter in a room.

In this alternative embodiment, the formaldehyde detection device is integrated with the fine particulate matter concentration detector 7, so that the formaldehyde detection device can detect the fine particulate matter concentration in the room, and the fine particulate matter concentration is used for the formaldehyde concentration correction of the data processing module 22. Of course, in practical applications, the formaldehyde detection device may also be configured to receive or acquire the detected value of the fine particulate matter concentration detected by the external fine particulate matter concentration detector provided in the room, which is not limited in this application.

Fig. 5 is a schematic structural diagram of the intelligent formaldehyde detection device provided in the present application, as shown in fig. 5, in an alternative embodiment, the formaldehyde detection unit 1 includes a formaldehyde sensor 11 for detecting and outputting the formaldehyde concentration in a room.

Specifically, the formaldehyde sensor 11 detects the formaldehyde concentration in the room and transmits the formaldehyde concentration to the data monitoring unit 2.

In this alternative embodiment, the formaldehyde sensor 11 is integrated in the formaldehyde detection device, and the formaldehyde sensor 11 may be disposed in the formaldehyde detection unit 1 to detect the formaldehyde concentration in the room and transmit the formaldehyde concentration to the data monitoring unit 2. Of course, other detectors may be integrated into the formaldehyde detection device, for example, detection devices such as the formaldehyde sensor 11, the temperature sensor 4, the humidity sensor 5, the total volatile organic compound detector 6, the fine particulate matter concentration detector 7 and the like may be provided in the formaldehyde detection device, and formaldehyde concentration and various formaldehyde influencing factors are detected and displayed, the detected formaldehyde influencing factors are also used for correcting the formaldehyde concentration, and the detected formaldehyde concentration also needs to be displayed after relevant data processing of the data monitoring unit. The accuracy of formaldehyde concentration that improves the demonstration promotes formaldehyde detection device's interference immunity.

Based on the same principle, the application also discloses a formaldehyde detection method. In this embodiment, as shown in fig. 6, the method includes:

s100: determining whether the absolute value of the difference value between the indoor formaldehyde concentration and the historical formaldehyde concentration detected by the formaldehyde detection unit is larger than a preset threshold value;

S200: if not, displaying the formaldehyde concentration;

s300: if so, determining a detection value of the formaldehyde influence factor, determining whether the formaldehyde concentration needs to be corrected according to the variation of the detection value, if so, displaying after correcting the formaldehyde concentration based on the variation of the detection value, and if not, displaying the formaldehyde concentration.

In an alternative embodiment, the step S100 of determining whether the absolute value of the difference between the formaldehyde concentration in the room detected by the formaldehyde detection unit and the historical formaldehyde concentration is greater than a preset threshold comprises:

s110: and determining whether the absolute value of the difference value between the formaldehyde concentration and the previous formaldehyde concentration is larger than a preset threshold value.

In an alternative embodiment, the formaldehyde influencing factor comprises at least one of: indoor temperature, indoor humidity, and total volatile organic compounds.

In an alternative embodiment, as shown in fig. 7, determining whether the formaldehyde concentration needs to be corrected according to the variation of the detected value in S300 specifically includes:

s310: determining whether the variation of the detection value is larger than a preset variation threshold value;

s310a: if so, correcting the formaldehyde concentration based on the variation of the detection value.

In an alternative embodiment, the formaldehyde influencing factors of S310a include indoor temperature and indoor humidity;

the correcting the formaldehyde concentration based on the variation of the detection value in S310a specifically includes:

and correcting the formaldehyde concentration based on the change amount of the indoor temperature and the change amount of the indoor humidity. In an alternative embodiment, as shown in fig. 8, the formaldehyde influencing factors include indoor temperature and indoor humidity;

s311: determining whether the change amount of the indoor temperature is larger than a preset temperature change threshold value and/or whether the change amount of the indoor humidity is larger than a preset humidity change threshold value;

s312: if so, correcting the formaldehyde concentration based on the corresponding change amount of the indoor temperature and/or the corresponding change amount of the indoor humidity.

In alternative embodiments, the formaldehyde-affecting factors include room temperature, room humidity, and total volatile organic compounds;

as shown in fig. 9, the formaldehyde detection method further includes:

s313: determining whether the amount of change in the total volatile organic compounds is greater than an organic compound change threshold.

S313a: and if not, displaying the formaldehyde concentration.

S313b: if so, correcting the formaldehyde concentration based on the amount of change in the total volatile organic compounds.

In an alternative embodiment, as shown in fig. 10, the correcting the formaldehyde concentration based on the variation of the total volatile organic compound specifically includes:

s323: it is determined whether the amount of change in the concentration of fine particulate matter in the room is greater than a preset fine particulate matter concentration change threshold.

S323a: and if not, correcting the formaldehyde concentration based on the variation of the total volatile organic compounds.

S323b: if so, correcting the formaldehyde concentration based on the amount of change in the total volatile organic compound and the amount of change in the fine particulate matter concentration.

Since the principle of the method for solving the problem is similar to that of the above system, the implementation of the method can be referred to the implementation of the system, and will not be described herein.

Based on the same principle, the application also discloses a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method of the embodiment.

The system, apparatus, module or unit set forth in the above embodiments may be implemented in particular by a computer chip or entity, or by a product having a certain function. A typical implementation device is a computer device, which may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

In a typical example, the computer apparatus includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement a method performed by a client as described above, or where the processor executes the program to implement a method performed by a server as described above.

In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for performing the method shown in the flowchart.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.

Claims

1. The intelligent formaldehyde detection device is characterized by comprising a formaldehyde detection unit and a data monitoring unit;

2. The intelligent formaldehyde detection device according to claim 1, further comprising a display unit,

3. The intelligent formaldehyde detection device according to claim 1, wherein,

The data monitoring module is used for determining whether the absolute value of the difference value between the formaldehyde concentration and the formaldehyde concentration obtained by the previous processing of the data monitoring unit is larger than a preset threshold value.

4. The intelligent formaldehyde detection device according to claim 1, wherein,

the formaldehyde influencing factors at least comprise one of the following: indoor temperature, indoor humidity, and total volatile organic compounds.

5. The intelligent formaldehyde detection device according to claim 4, further comprising at least one of: a temperature sensor, a humidity sensor, and a total volatile organic compound detector;

6. The intelligent formaldehyde detection device according to claim 4, wherein,

And the data processing module is used for determining whether the variation of the detection value is larger than a preset variation threshold value, and if so, correcting the formaldehyde concentration based on the variation of the detection value.

7. The intelligent formaldehyde detection apparatus according to claim 4, wherein the formaldehyde influencing factors include indoor temperature and indoor humidity;

8. The intelligent formaldehyde detection apparatus according to claim 6, wherein the formaldehyde influencing factors include indoor temperature and indoor humidity;

9. The intelligent formaldehyde detection apparatus according to claim 6, wherein the formaldehyde influencing factors include indoor temperature, indoor humidity and total volatile organic compounds;

10. The formaldehyde detection apparatus as recited in claim 9, further comprising a fine particulate matter concentration detector for detecting a fine particulate matter concentration in the room.

11. The formaldehyde detection apparatus according to claim 10, wherein,

the data processing module is configured to determine whether the variation of the concentration of the fine particulate matter in the room is greater than a preset variation of the concentration of the fine particulate matter if the variation of the total volatile organic compounds is greater than a variation of the organic compounds threshold, and correct the concentration of formaldehyde based on the variation of the total volatile organic compounds if the variation of the concentration of the fine particulate matter is greater than the preset variation of the concentration of the fine particulate matter, and correct the concentration of formaldehyde based on the variation of the total volatile organic compounds and the variation of the concentration of the fine particulate matter if the variation of the total volatile organic compounds is greater than the variation of the concentration of the fine particulate matter.

12. The formaldehyde detection apparatus according to claim 1, wherein the formaldehyde detection unit includes a formaldehyde sensor for detecting and outputting a formaldehyde concentration in the room.

13. A formaldehyde detection method, comprising:

if not, displaying the formaldehyde concentration;

14. The formaldehyde detection method according to claim 13, wherein determining whether an absolute value of a difference between the formaldehyde concentration in the room detected by the formaldehyde detection unit and the historical formaldehyde concentration is greater than a preset threshold specifically comprises:

15. The method for detecting formaldehyde according to claim 13, wherein,

16. The formaldehyde detection method according to claim 13, wherein the determining whether the formaldehyde concentration needs to be corrected based on the amount of change in the detection value specifically comprises:

17. The formaldehyde detection method according to claim 15, wherein the formaldehyde influencing factors include indoor temperature and indoor humidity;

18. The formaldehyde detection method according to claim 16, wherein the formaldehyde influencing factors include indoor temperature and indoor humidity;

19. The formaldehyde detection method according to claim 16, wherein the formaldehyde influencing factors include indoor temperature, indoor humidity and total volatile organic compounds;

the formaldehyde detection method further comprises the following steps:

20. The formaldehyde detection method according to claim 19, wherein the correcting the formaldehyde concentration based on the amount of change in the total volatile organic compounds specifically includes:

21. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 13 to 20 when executing the computer program.