Formaldehyde detection method and device

Abstract

The invention discloses a formaldehyde detection method and device, and relates to the technical field of detection. The method comprises the following steps: receiving environment data of a target environment uploaded by equipment; analyzing the environmental data to generate a correlation trend chart; and judging whether the target environment meets a preset standard or not according to the correlation trend chart, and displaying the correlation trend chart and a judgment result. Compared with the prior art, the temperature data and / or the humidity data are / is collected in the environment data in real time, the correlation between the formaldehyde data and the temperature / humidity data is established to obtain the trend chart, and the correlation between the formaldehyde data and the temperature / humidity data change can be revealed more accurately. Meanwhile, whether the target environment meets the preset standard or not can be judged according to the trend chart, and a subsequent formaldehyde removal scheme is given, so that the problem that according to an existing formaldehyde detection scheme, formaldehyde data is only collected according to time, no further analysis and judgment standard exists, and consequently the judgment accuracy is low is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of detection, in particular to a formaldehyde detection method and device. BACKGROUND

[0002] At present, in the formaldehyde detection scheme for indoor, most of them adopt the method of collecting formaldehyde concentration through the sensing device on the electrical equipment, so as to broadcast the formaldehyde data in the room. But this way is only limited to presenting the collected formaldehyde data according to time dimension (such as the formaldehyde concentration content in the room every day within 7 days), and there is no further analysis, resulting in the problem of low discrimination accuracy. SUMMARY

[0003] Therefore, the present application provides a formaldehyde detection method and device, which mainly aims to solve the problem that the current formaldehyde detection scheme only collects formaldehyde data according to time, and there is no further analysis and judgment standard, resulting in low discrimination accuracy.

[0004] In a first aspect, the present application provides a formaldehyde detection method for a server, comprising:

[0005] receiving environmental data of a target environment uploaded by a device; the environmental data comprises first data and second data, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data;

[0006] analyzing the environmental data to generate a correlation trend chart; the correlation trend chart is used to represent the relationship between the first data and the second data of the target environment;

[0007] judging whether the target environment meets a preset standard according to the correlation trend chart, and displaying the correlation trend chart and the judgment result.

[0008] Optionally, after judging whether the target environment meets the preset standard according to the correlation trend chart and displaying the judgment result, the method further comprises generating a de-aldehyde scheme according to the correlation trend chart and pushing it to a user end.

[0009] Optionally, generating a de-aldehyde scheme according to the correlation trend chart comprises judging whether the second data of the target environment presents an upward trend according to the correlation trend chart; and in the case that the second data of the target environment presents an upward trend, increasing the working wind speed of the device.

[0010] In a second aspect, the present application provides a formaldehyde detection method for a user end, comprising:

[0011] obtain a correlation trend chart and a judgment result of the target environment sent by the server; the correlation trend chart is used to represent a relationship between first data and second data of the target environment, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data;

[0012] adjust a working mode of the device according to the judgment result.

[0013] Optionally, the adjusting of the working mode of the device comprises: obtaining a formaldehyde removal scheme sent by the server; generating a formaldehyde removal instruction according to the judgment result and the formaldehyde removal scheme; and sending the formaldehyde removal instruction to the device to adjust the working mode of the device; wherein the formaldehyde removal instruction comprises: increasing a working wind speed of the device in a case where the second data of the target environment presents an upward trend.

[0014] In a third aspect, the present application provides a formaldehyde detection method, comprising:

[0015] collecting environment data of a target environment in real time; the environment data comprises first data and second data, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data;

[0016] uploading the environment data to a server.

[0017] Optionally, in a case where a formaldehyde removal instruction is received from a user terminal, the working mode is adjusted according to the formaldehyde removal instruction; wherein the formaldehyde removal instruction comprises: increasing a working wind speed of the device in a case where the second data of the target environment presents an upward trend.

[0018] In a fourth aspect, the present application provides a formaldehyde detection device for a server, comprising:

[0019] a receiving unit configured to receive environment data of a target environment uploaded by a device; the environment data comprises first data and second data, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data;

[0020] a generating unit configured to analyze the environment data and generate a correlation trend chart; the correlation trend chart is used to represent a relationship between the first data and the second data of the target environment;

[0021] a judging unit configured to judge whether the target environment meets a preset standard according to the correlation trend chart, and display the correlation trend chart and a judgment result.

[0022] In a fifth aspect, the present application provides a formaldehyde detection device for a user terminal, comprising:

[0023] an acquisition unit configured to acquire a correlation trend graph and a judgment result of a target environment sent by a server, the correlation trend graph being used to represent a relationship between first data and second data of the target environment, the first data including formaldehyde data, and the second data including temperature data and / or humidity data;

[0024] an adjustment unit configured to adjust a working mode of a device according to the judgment result.

[0025] In a sixth aspect, the present application provides a formaldehyde detection device for a device, comprising:

[0026] an acquisition unit configured to acquire environmental data of a target environment in real time, the environmental data including first data and second data, the first data including formaldehyde data, and the second data including temperature data and / or humidity data;

[0027] a communication unit configured to upload the environmental data to a server.

[0028] In a seventh aspect, the present application provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the formaldehyde detection method of the first aspect or the second aspect or the third aspect.

[0029] In an eighth aspect, the present application provides an electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, the processor implementing the formaldehyde detection method of the first aspect or the second aspect or the third aspect when executing the computer program.

[0030] According to the above technical solution, the formaldehyde detection method and device provided by the present application first receive environmental data of a target environment uploaded by a device, the environmental data including first data and second data, the first data including formaldehyde data, and the second data including temperature data and / or humidity data; analyze the environmental data to generate a correlation trend graph; the correlation trend graph is used to represent a relationship between the first data and the second data of the target environment; according to the correlation trend graph, judge whether the target environment meets a preset standard, and display the correlation trend graph and the judgment result. Compared with related art, the present application further collects temperature data and / or humidity data in real time in the environmental data, and establishes a correlation between the formaldehyde data and the temperature / humidity data to obtain a trend graph, which can more accurately reveal the correlation between the changes in the formaldehyde data and the temperature / humidity data. Meanwhile, according to the trend graph, it can be judged whether the target environment meets a preset standard, and a subsequent formaldehyde removal scheme is given, thereby solving the problem that the current formaldehyde detection scheme only collects formaldehyde data according to time, and does not further analyze and judge the standard, resulting in a low accuracy of discrimination.

[0031] It should be understood that the general description and detailed description of the foregoing are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0032] The accompanying drawings incorporated in and forming a part of the specification illustrate embodiments consistent with the present application and serve to explain the principles of the present application, together with the description.

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings required to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, for those skilled in the field, other drawings can also be obtained from these drawings without any creative labor.

[0034] Figure 1 An interactive flowchart of a formaldehyde detection method provided by an embodiment of the present application is shown;

[0035] Figure 2 A flowchart of a formaldehyde detection method for a device provided by an embodiment of the present application is shown;

[0036] Figure 3 A flowchart of a formaldehyde detection method for a server provided by an embodiment of the present application is shown;

[0037] Figure 4 A flowchart of a formaldehyde detection method for a user end provided by an embodiment of the present application is shown;

[0038] Figure 5 A structural diagram of a formaldehyde detection device provided by an embodiment of the present application is shown;

[0039] Figure 6 A structural diagram of another formaldehyde detection device provided by an embodiment of the present application is shown;

[0040] Figure 7 A structural diagram of another formaldehyde detection device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0041] Some embodiments of the present disclosure will be described in detail herein, with examples shown in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise represented. Various changes and modifications of the embodiments described herein, and equivalents thereof, can become apparent to the readers and are intended to be covered by the scope of this disclosure. For example, the order of the operations described herein is merely examples and is not limited to those set forth herein, but is subject to change as can be apparent to those of ordinary skill in the art, except for operations that must be performed in a specific order. In addition, the description of features known in the art can be omitted for the sake of clarity and brevity.

[0042] The implementations described in some embodiments of the present disclosure below do not represent all implementations consistent with the present disclosure. Instead, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0043] In order to solve the problem that the current formaldehyde detection scheme only collects formaldehyde data by time, and does not further analyze and judge the standard, resulting in low discrimination accuracy. The present embodiment provides a formaldehyde detection method, as shown in Figure 1 The method comprises:

[0044] S101, the device collects environmental data of the target environment in real time.

[0045] The environmental data includes first data and second data, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data; it should be noted that the second data can be one of temperature data and humidity data, or both can be collected. Since the formaldehyde concentration will also increase with the increase of temperature or humidity in the actual environment, the two are positively correlated, so establishing the correlation between the first data and the second data can more clearly understand the size of the specific change, thereby facilitating the subsequent de-aldehyde scheme. The scheme proposed in the present embodiment can be based on three-party interaction, including devices, cloud servers and user terminals. The devices include air conditioners, humidifiers, air purifiers and other devices that can adjust the indoor environment. It can also be a smart home or a smart environment monitor with formaldehyde detection function. A plurality of sensors can be provided thereon for collecting formaldehyde data, temperature and humidity data, etc. in the target environment, and integrated sensors can also be used for collection. The collection method is not limited here. The user terminal can refer to the user's mobile phone, mobile device, etc. The communication can be realized by pushing the message to the user APP.

[0046] Real-time collection here refers to the immediacy and continuity of data collection. That is, the device can continuously collect data even in the shutdown state. The target environment refers to the specific place or space of data collection. This environment can be a family home, an office, a school classroom, a hospital room, a laboratory, or any place where environmental quality needs to be monitored. In this embodiment, since temperature and humidity have a certain influence on the release and distribution of indoor formaldehyde, real-time monitoring of temperature / humidity data helps to fully understand the trend of indoor formaldehyde concentration.

[0047] S102, the device uploads the environmental data to the cloud server.

[0048] In some embodiments, the collected environmental data can be uploaded to the cloud server through the wireless communication module, so that the server can analyze the environmental data and give the corresponding change trend, realizing remote monitoring and storage of environmental data. Among them, the environmental data includes first data and second data, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data.

[0049] Optionally, before uploading the environmental data to the cloud server, the data can also be corrected and filtered to ensure the accuracy and stability of the data.

[0050] S103, the cloud server analyzes the environmental data to generate a correlation trend chart.

[0051] On the cloud server, the received formaldehyde, temperature and / or humidity data are further analyzed and processed. Using statistical analysis methods, the correlation between formaldehyde concentration and temperature data, formaldehyde concentration and humidity data, or formaldehyde concentration and temperature and humidity data is analyzed, and a correlation model is established. According to the established correlation model, the trend of formaldehyde concentration with temperature and / or humidity is calculated, and a correlation trend chart is generated. The correlation trend chart here can reflect the relationship between formaldehyde data and temperature and humidity data at the same time node, and at the same time, according to the correlation trend chart, the trend of formaldehyde concentration can be judged under the condition that temperature and humidity data change in the future, so that the formaldehyde removal scheme can be formulated in advance.

[0052] S104, according to the correlation trend chart, whether it meets the requirements is judged, and a formaldehyde removal scheme is generated.

[0053] Correlation trend chart is a data visualization tool used to show the strength and direction of the relationship between two or more variables. In the context of formaldehyde removal, these variables include the relationship between indoor formaldehyde concentration and certain environmental factors such as temperature, humidity, ventilation time, or usage time, etc. The judgment of whether it meets the requirements refers to the cloud server judging whether the current formaldehyde level in the environment and the relationship between formaldehyde and temperature belong to the safe range for recommended residence. Here, the safety value judgment standard of formaldehyde is based on the GB / T18883-2022 standard, the highest level S1 requirement of "Finland Indoor Environment Classification", and the setting of temperature / humidity changes in indoor environment. In this embodiment, the server will also generate a corresponding formaldehyde removal scheme. For example, according to the correlation trend chart, if the temperature and humidity data or at least one of them have an increasing trend (such as judging from the data of the previous few days that the temperature will rise in the next few hours, or combining with the weather to judge that it will rain in the next few hours), the corresponding formaldehyde removal scheme will be given in advance. Specifically, it can be recommended that the user turn on the "high sensitivity" working mode of the device, increase the device wind speed, etc. Taking temperature as an example, if the future trend may be 27-33 degrees, the wind speed gear will be increased by 1 gear; if it is greater than 33 degrees, the gear will be increased by 1 gear; if it is less than 27 degrees, it will not be processed.

[0054] S105, the cloud server sends the trend chart, the judgment result and the formaldehyde removal scheme to the user end.

[0055] The cloud server sends the correlation trend chart, the judgment result and the formaldehyde removal scheme to the user interface or the mobile phone APP and displays it on the user end. The judgment result here can include a formaldehyde data report, and a specific formaldehyde removal scheme can also be given, for example:

[0056] The average formaldehyde value last week was 0.022 units, which met the human residence standard. Before human residence, it is recommended to conduct a systematic investigation of indoor formaldehyde, toluene, TVOC and other decoration pollutants according to GB50352.

[0057] A: The average formaldehyde value this week is relatively stable compared to last week's data. Please continue to maintain the working mode of the air purifier;

[0058] B: The average formaldehyde value this week is lower than the average value of last week. Please continue to maintain the working mode of the purifier;

[0059] C: The average formaldehyde value this week is lower than the average value of last week, but the formaldehyde content still does not meet the human residence safety standard. Please strengthen ventilation, keep the device on, and adjust to "intelligent formaldehyde removal-high sensitivity" mode.

[0060] D: The average formaldehyde value this week is higher than the average value of last week. Please strengthen ventilation and keep the purifier on.

[0061] S106, the user end generates a formaldehyde removal instruction according to the judgment result and the formaldehyde removal scheme.

[0062] The user terminal can adjust the working mode of the device according to the correlation trend chart and the formaldehyde removal scheme pushed by the cloud server, that is, generate corresponding formaldehyde removal instructions, and then send the formaldehyde removal instructions to the device through the mobile phone APP or the device control interface.

[0063] S107, the user terminal sends the formaldehyde removal instructions to the device.

[0064] After the user receives the judgment result and the formaldehyde removal scheme, the user can send the formaldehyde removal instructions to the device through the mobile phone APP or the device control interface.

[0065] S108, if the second data of the target environment presents an upward trend, the working wind speed of the device is increased.

[0066] It should be noted that since the increase of formaldehyde is positively correlated with the increase of temperature and humidity, that is, the increase of temperature or humidity will increase the formaldehyde concentration in the room, therefore, when the device detects that the environmental temperature rises first (for example, the weather becomes hotter during the day, or the humidity rises when it starts to rain), the working wind speed is automatically increased to clean the formaldehyde that may be released in advance.

[0067] The key steps in the above embodiment include: data acquisition and transmission ensure real-time and accuracy, which provides a basis for subsequent data analysis; at the same time, the data analysis and correlation calculation of the cloud server are the core steps to solve the technical problem, by establishing a correlation model and calculating the trend, the correlation analysis and trend prediction of formaldehyde and temperature / humidity are realized. Compared with related technologies, the embodiment further collects temperature and humidity data in the environmental data, and establishes the correlation between formaldehyde data and temperature / humidity data to obtain a trend chart, which can more accurately reveal the correlation between the changes of formaldehyde data and temperature / humidity data. At the same time, according to the trend chart, it can be judged whether the target environment meets the preset standard, and the subsequent formaldehyde removal scheme is given, thereby solving the problem that the current formaldehyde detection scheme only collects formaldehyde data according to time, and does not further analyze and judge the standard, resulting in low accuracy of discrimination.

[0068] Further, the embodiment provides a formaldehyde detection method for a device, such as Figure 2 As shown in the figure, the method comprises:

[0069] The device can be an air conditioner or an air purifier integrated with a formaldehyde detection function, and other smart home or smart environment monitoring instruments with a formaldehyde detection function. The device is built-in with a formaldehyde sensor, a temperature and humidity sensor, and a wireless communication module. The wireless communication module is used for communication transmission.

[0070] S201, real-time collection of environmental data of a target environment.

[0071] The target environment refers to the specific place or space where data collection takes place. This environment can be a home, an office, a school classroom, a hospital room, a laboratory, or any place where environmental quality needs to be monitored. Environmental data includes first data and second data, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data.

[0072] S202, correcting and filtering the environmental data.

[0073] Correction refers to the process of adjusting measured data or observations to known or expected standards or reference values. Correction usually includes: 1, data conversion: converting raw data into a more useful or easier to analyze form. For example, converting temperature readings from Fahrenheit to Celsius; or converting time, temperature, humidity, and formaldehyde data into a one-to-one unified format. 2, extreme value rejection, in the case of collecting data that does not conform to the actual scene, the extreme value is rejected.

[0074] Filtering refers to the process of removing noise and unwanted interference signals from data. In this embodiment, it is a smoothing process (applying moving average, exponential smoothing, etc. to reduce random fluctuations and high-frequency noise in formaldehyde data) and outlier processing (identifying and processing outliers in the data, such as sudden increases in concentration readings) on environmental data.

[0075] S203, uploading the environmental data to the server.

[0076] The device transmits the preliminarily processed environmental data to the cloud server through the wireless communication module, realizing remote monitoring and storage of data.

[0077] Optionally, the method further comprises: in the case of receiving a formaldehyde removal instruction from the user end, adjusting the working mode according to the formaldehyde removal instruction.

[0078] In this embodiment, the device receives a formaldehyde removal instruction from the user end through the wireless communication module, and adjusts the working mode of the device according to the formaldehyde removal instruction, for example, starting the "high sensitivity" working mode of the device. When the "high sensitivity" working mode is enabled, the device will automatically increase the working wind speed when it detects that the environmental temperature and / or humidity rises first, so as to clean the pollutants that may be released in advance.

[0079] This embodiment provides a formaldehyde detection method for a server, as shown in Figure 3 The method comprises:

[0080] S301, receiving environmental data of a target environment uploaded by a device.

[0081] The cloud server receives environmental data of a target environment uploaded by the device through a network. The target environment refers to a specific place or space where data collection is performed. The environmental data includes first data and second data, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data.

[0082] In S302, the environmental data is analyzed to generate a correlation trend graph of the formaldehyde data and the second data.

[0083] The cloud server further analyzes and processes the received formaldehyde, temperature and / or humidity data. Using statistical analysis methods, the correlation between formaldehyde concentration and the second data is analyzed, and a correlation model is established. According to the established correlation model, the trend of formaldehyde concentration with temperature and / or humidity is calculated, and a correlation trend graph is generated. The correlation trend graph can reflect the relationship between the formaldehyde data and the temperature / humidity data at the same time node.

[0084] In S303, according to the correlation trend graph, it is determined whether the target environment meets the preset standard, and the correlation trend graph and the determination result are displayed.

[0085] The cloud server determines whether the target environment meets the preset standard according to the correlation trend graph, i.e., whether the current formaldehyde level is within the safe range recommended for living. Displaying the correlation trend graph and the determination result means that the cloud server generates a formaldehyde removal scheme according to the correlation trend graph and pushes it to the user end. Specifically, in this embodiment, the safety value of formaldehyde is determined according to the reference GB / T18883-2022 standard, the highest level S1 requirement of the Finnish Indoor Environment Classification, and the temperature change of the indoor environment. Of course, the standard can be selected according to the actual situation.

[0086] Optionally, after determining whether the target environment meets the preset standard according to the correlation trend graph and displaying the determination result, the method further includes generating a formaldehyde removal scheme according to the correlation trend graph and pushing it to the user end.

[0087] In this embodiment, the cloud server determines whether the current formaldehyde level is within the safe range recommended for living according to the correlation trend graph. According to the correlation trend graph, a formaldehyde removal scheme is generated, such as starting the high sensitivity mode of the device, increasing the wind speed of the device, etc. The trend graph, the determination result and the formaldehyde removal scheme are displayed to the user end through the user interface or the mobile phone APP, thereby improving the immediacy and convenience.

[0088] Optionally, generating a formaldehyde removal scheme according to the correlation trend graph includes: determining whether the second data of the target environment presents an upward trend according to the correlation trend graph; and increasing the working wind speed of the device if the second data of the target environment presents an upward trend.

[0089] In this embodiment, the cloud server generates an aldehyde removal scheme according to the correlation trend chart analysis result, and pushes the corresponding aldehyde removal suggestion to the user. According to the correlation trend chart, it is determined whether the temperature and / or humidity of the target environment presents an upward trend. If the temperature and / or humidity of the target environment presents an upward trend, it is suggested to increase the working wind speed of the device.

[0090] This embodiment provides a formaldehyde detection method for a user end, as shown in the figure, the method comprises: Figure 4

[0091] S401, obtaining the correlation trend chart and the judgment result of the target environment sent by the server.

[0092] The user end obtains the correlation trend chart and the judgment result of the target environment sent by the cloud server. The correlation trend chart can reflect the relationship between the formaldehyde data and the temperature / humidity data at the same time node, and can also determine the future trend according to the trend chart. The judgment result is whether the current formaldehyde level of the target environment belongs to the safe range of living suggestion and the aldehyde removal scheme generated by the cloud server.

[0093] S402, adjusting the working mode of the device according to the judgment result.

[0094] According to the aldehyde removal scheme generated by the cloud server, the user end can adjust the working mode of the device. For example, when the device judges that the environmental second data presents an upward trend, the user end can generate an instruction to increase the working wind speed of the device, so as to control the working mode of the device.

[0095] Optionally, adjusting the working mode of the device comprises: obtaining the aldehyde removal scheme sent by the server; generating an aldehyde removal instruction according to the judgment result and the aldehyde removal scheme; sending the aldehyde removal instruction to the device to adjust the working mode of the device; wherein the aldehyde removal instruction comprises: increasing the working wind speed of the device in the case that the second data of the target environment presents an upward trend.

[0096] In this embodiment, the user end receives the aldehyde removal scheme sent by the cloud server. The user end can generate an aldehyde removal instruction according to the judgment result and the aldehyde removal scheme through the user interface or the mobile phone APP. The user end sends the aldehyde removal instruction to the device through the user interface or the mobile phone APP, and the aldehyde removal instruction comprises: increasing the working wind speed of the device in the case that the temperature and / or humidity of the target environment presents an upward trend. The device adjusts the working mode of the device according to the received aldehyde removal instruction.

[0097] Further, in the actual application scene, the second data can be collected in the form of temperature and humidity data, and the specific details of the formaldehyde detection method steps are as follows:

[0098] ​Step One: Data Collection and Transmission

[0099] 1. Use the built-in formaldehyde sensor and temperature and humidity sensor in the device to collect real-time data on formaldehyde concentration, temperature, and humidity in the environment.

[0100] 2. The collected data is preliminarily processed by the internal processing unit of the device, including data correction and filtering processing, to ensure the accuracy and stability of the data.

[0101] 3. The preliminarily processed data is transmitted to the cloud server through the wireless communication module, realizing remote monitoring and storage of the data.

[0102] Step Two: Data Analysis and Correlation Calculation

[0103] 1. On the cloud server, further analyze and process the received formaldehyde, temperature, and humidity data.

[0104] 2. Use statistical analysis methods to analyze the correlation between formaldehyde concentration and temperature and humidity, and establish a correlation model.

[0105] 3. According to the established correlation model, calculate the trend of formaldehyde concentration with temperature and humidity changes, and generate the corresponding trend chart.

[0106] Step Three: User Feedback and Control

[0107] 1. Show the analysis results of the correlation trend between formaldehyde and temperature and whether the indoor environment meets the standard to the user through the user interface or mobile APP.

[0108] 2. According to the analysis results, push the corresponding formaldehyde removal suggestions to the user, such as turning on the high sensitivity mode of the device, adjusting the indoor temperature, etc.

[0109] 3. The user can adjust the working mode of the device through the mobile APP or device control interface according to the pushed suggestions to achieve better formaldehyde removal effect.

[0110] In summary, the present embodiment achieves a more comprehensive statistical analysis by considering temperature factors. Such comprehensive analysis can more accurately reveal the correlation between formaldehyde concentration and temperature changes. Through the APP aldehyde removal report, real-time feedback of formaldehyde concentration and temperature data can be provided, and through the visualization of the trend chart, users can clearly understand the relationship between formaldehyde and temperature. This real-time feedback and visualization greatly improves users' perception and understanding of environmental conditions. The introduction of the "high sensitivity" device working mode automatically increases the working wind speed when the environmental temperature and / or humidity priority increases, effectively cleaning the pollutants that may be released, enabling the device to intelligently perceive environmental changes and make corresponding adjustments. This intelligent adjustment can improve the aldehyde removal effect while reducing the user's operation burden. The integration of real-time feedback, visualization, and intelligent adjustment functions greatly optimizes the user experience. Users can more intuitively understand the environmental conditions, and the intelligent adjustment of the device reduces the user's intervention needs, improving user comfort and convenience.

[0111] Based on the same concept, the present disclosure also provides a formaldehyde detection device for a device, such as Figure 5 As shown, the device includes a collection unit 51 and a communication unit 52.

[0112] The collection unit 51 is configured to collect environmental data of a target environment in real time; the environmental data includes first data and second data, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data;

[0113] The communication unit 52 is configured to upload the environmental data to a server.

[0114] In some embodiments, the communication unit 52 is specifically configured to adjust the working mode according to the aldehyde removal instruction received from the user end; wherein the aldehyde removal instruction includes: increasing the working wind speed of the device when the second data of the target environment shows an upward trend.

[0115] Based on the same concept, the present disclosure also provides a formaldehyde detection device for a server, such as Figure 6 As shown, the device includes a receiving unit 61, a generating unit 62, and a judging unit 63.

[0116] The receiving unit 61 is configured to receive environmental data of a target environment uploaded by a device; the environmental data includes first data and second data, the first data includes formaldehyde data, and the second data includes temperature data and / or humidity data;

[0117] The generating unit 62 is configured to analyze the environment data to generate a correlation trend graph, the correlation trend graph being used to represent a relationship between the first data and the second data of the target environment.

[0118] The judging unit 63 is configured to judge whether the target environment meets a preset standard according to the correlation trend graph, and display the correlation trend graph and the judging result.

[0119] In some embodiments, the generating unit 62 is specifically configured to generate an aldehyde removal scheme according to the correlation trend graph, and push the aldehyde removal scheme to the user end.

[0120] In some embodiments, the judging unit 63 is specifically further configured to judge whether the second data of the target environment presents an upward trend according to the correlation trend graph, and increase a working wind speed of the device in a case where the second data of the target environment presents the upward trend.

[0121] Based on the same concept, the embodiment of the present disclosure further provides a formaldehyde detection device for a user end, as shown in the accompanying drawings, the device comprises an obtaining unit 71 and an adjusting unit 72. Figure 7

[0122] The obtaining unit 71 is configured to obtain a correlation trend graph and a judging result of a target environment sent by a server, the correlation trend graph being used to represent a relationship between first data and second data of the target environment, the first data comprising formaldehyde data, and the second data comprising temperature data and / or humidity data.

[0123] The adjusting unit 72 is configured to adjust a working mode of a device according to the judging result.

[0124] In some embodiments, the obtaining unit 71 is specifically configured to obtain an aldehyde removal scheme sent by the server, generate an aldehyde removal instruction according to the judging result and the aldehyde removal scheme, and send the aldehyde removal instruction to the device to adjust the working mode of the device, wherein the aldehyde removal instruction comprises increasing a working wind speed of the device in a case where the second data of the target environment presents an upward trend.

[0125] It should be noted that other corresponding descriptions of the functional units involved in the formaldehyde detection method provided by the embodiment can refer to the corresponding descriptions in the Figures 1 to 4 , which will not be described here in detail.

[0126] In exemplary embodiments, the present disclosure further provides a computer readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the method as shown in the accompanying drawings. Figures 1 to 4 ​​

[0127] Based on such understanding, the technical scheme of the present application can be embodied in the form of a software product, which can be stored in a nonvolatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.), and includes a plurality of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the method of various implementation scenarios of the present application.

[0128] Based on the method as shown in Figures 1 to 4 , and Figures 5 to 7 the virtual device embodiment, in order to achieve the above-mentioned purpose, the embodiments of the present application also provide an electronic device, such as a smart phone, a tablet computer, a drone, a smart robot, etc. The device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to realize the method as shown in Figures 1 to 4 .

[0129] Optionally, the above-mentioned entity device can also include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface can include a display screen (Display), an input unit such as a keyboard (Keyboard), etc. The optional user interface can also include a USB interface, a card reader interface, etc. The network interface can optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0130] Those skilled in the art can understand that the above-mentioned entity device structure provided by the embodiments does not constitute a limitation on the entity device, and can include more or fewer components, or combine certain components, or different component arrangements.

[0131] The storage medium can also include an operating system, a network communication module. The operating system is a program that manages the hardware and software resources of the above-mentioned entity device, supports the running of information processing programs and other software and / or programs. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing entity device.

[0132] Those skilled in the art can clearly understand, through the description of the above embodiments, that the application can be implemented by means of software plus a necessary general hardware platform, or by hardware. By applying the scheme of the present embodiment, compared with the related art, the present embodiment further collects temperature data and / or humidity data in the environmental data in real time, and establishes the association of the formaldehyde data and the temperature / humidity data to obtain a trend chart, which can more accurately reveal the correlation between the changes of the formaldehyde data and the temperature / humidity data. Meanwhile, according to the trend chart, it can be judged whether the target environment meets the preset standard, and a subsequent formaldehyde removal scheme is given, so as to solve the problem that the current formaldehyde detection scheme only collects the formaldehyde data according to time, and does not further analyze and judge the standard, resulting in a low accuracy of judgment.

[0133] It should be noted that, in this document, relational terms such as“first” and“second”, and the like, are used solely to distinguish one entity or action from another entity or action, without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by“comprises a...” does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0134] The above description is merely one specific implementation of the application. Many modifications and other embodiments of the application set forth herein will come to mind to one skilled in the art to which the application pertains having the benefit of the teachings presented in the foregoing description. Therefore, it is to be understood that the application is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims.

Claims

1. A formaldehyde detection method for a server, characterized by, The method comprises the following steps: receiving environmental data of a target environment uploaded by a device; the environmental data comprises first data and second data, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data; analyzing the environmental data to generate a correlation trend graph; the correlation trend graph is used to represent the relationship between the first data and the second data of the target environment; judging whether the target environment meets a preset standard according to the correlation trend graph, and displaying the correlation trend graph and the judgment result.

2. The method of claim 1, wherein, After judging whether the target environment meets a preset standard according to the correlation trend graph and displaying the judgment result, the method further comprises: generating a formaldehyde removal scheme according to the correlation trend graph and pushing the formaldehyde removal scheme to a user terminal.

3. The method of claim 2, wherein, Generating a formaldehyde removal scheme according to the correlation trend graph comprises: judging whether the second data of the target environment presents an upward trend according to the correlation trend graph; in the case that the second data of the target environment presents an upward trend, increasing the working wind speed of the device.

4. A method for detecting formaldehyde for a user end, characterized in that, The method comprises the following steps: obtaining a correlation trend graph and a judgment result of a target environment sent by a server; the correlation trend graph is used to represent the relationship between first data and second data of the target environment, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data; adjusting the working mode of a device according to the judgment result.

5. The method of claim 4, wherein, The adjustment of the working mode of the device comprises: obtaining a formaldehyde removal scheme sent by the server; generating a formaldehyde removal instruction according to the judgment result and the formaldehyde removal scheme; sending the formaldehyde removal instruction to the device to adjust the working mode of the device; wherein the formaldehyde removal instruction comprises: in the case that the second data of the target environment presents an upward trend, increasing the working wind speed of the device.

6. A method for detecting formaldehyde for use in a device, characterized by The method comprises the following steps: collecting environmental data of a target environment in real time; the environmental data comprises first data and second data, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data; uploading the environmental data to a server.

7. The method of claim 6, wherein, The method further comprises: in the case that a formaldehyde removal instruction is received from a user terminal, adjusting the working mode according to the formaldehyde removal instruction; wherein the formaldehyde removal instruction comprises: in the case that the second data of the target environment presents an upward trend, increasing the working wind speed of the device.

8. A formaldehyde detection device for a server, comprising: The method comprises the following steps: a receiving unit configured to receive environmental data of a target environment uploaded by a device; the environmental data comprises first data and second data, the first data comprises formaldehyde data, and the second data comprises temperature data and / or humidity data; a generating unit configured to analyze the environmental data to generate a correlation trend graph; the correlation trend graph is used to represent the relationship between the first data and the second data of the target environment; a judging unit configured to judge whether the target environment meets a preset standard according to the correlation trend graph, and display the correlation trend graph and the judgment result.

9. A formaldehyde detection device for an end user, characterized in that The method comprises the following steps: An acquisition unit is configured to acquire a correlation trend graph and a judgment result of a target environment sent by a server. The correlation trend graph is used to represent a relationship between first data and second data of the target environment, the first data including formaldehyde data, and the second data including temperature data and / or humidity data. An adjustment unit is configured to adjust a working mode of a device according to the judgment result.

10. A formaldehyde detection device for use in an apparatus, characterized by The method comprises the following steps: An acquisition unit is configured to acquire a correlation trend graph and a judgment result of a target environment sent by a server. The correlation trend graph is used to represent a relationship between first data and second data of the target environment, the first data including formaldehyde data, and the second data including temperature data and / or humidity data.

11. A computer readable storage medium having stored thereon a computer program, characterized in that, An adjustment unit is configured to adjust a working mode of a device according to the judgment result.

12. An electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, The method comprises the following steps: An acquisition unit is configured to acquire a correlation trend graph and a judgment result of a target environment sent by a server. The correlation trend graph is used to represent a relationship between first data and second data of the target environment, the first data including formaldehyde data, and the second data including temperature data and / or humidity data. An adjustment unit is configured to adjust a working mode of a device according to the judgment result. The method comprises the following steps: An acquisition unit is configured to acquire a correlation trend graph and a judgment result of a target environment sent by a server. The correlation trend graph is used to represent a relationship between first data and second data of the target environment, the first data including formaldehyde data, and the second data including temperature data and / or humidity data. An adjustment unit is configured to adjust a working mode of a device according to the judgment result. The method comprises the following steps: An acquisition unit is configured to acquire a correlation trend graph and a judgment result of a target environment sent by a server. The correlation trend graph is used to represent a relationship between first data and second data of the target environment, the first data including formaldehyde data, and the second data including temperature data

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