CN115754166A - Indoor environment quality early warning system based on Internet of things - Google Patents
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Abstract
The invention relates to the field of indoor environment quality early warning, in particular to an indoor environment quality early warning system based on the Internet of things, which comprises a data acquisition unit, a monitoring analysis unit, a server, an internal environment dynamic analysis unit, a static feedback analysis unit, a supervision evaluation analysis unit, an early warning unit and a display unit, wherein the data acquisition unit is used for acquiring data; the method acquires the indoor air flow rate after ventilation, analyzes the indoor dynamic environment data under the condition that the air flow rate is normal to obtain a corresponding early warning signal, immediately plays the voice of early warning information 'dynamic environment abnormity', timely adjusts the indoor dynamic environment data, analyzes the indoor static environment data before ventilation to obtain a purification signal and a display signal, immediately displays an 'air purification' text document in a text mode, timely purifies the indoor environment, improves the indoor environment quality, and simultaneously improves the indoor environment quality early warning function.
Description
Technical Field
The invention relates to the field of indoor environment quality early warning, in particular to an indoor environment quality early warning system based on the Internet of things.
Background
Along with the development of society, people more and more clearly recognize the importance of environmental problems, the focus is not limited to outdoor environmental indexes, the quality of indoor environment is more and more important, people spend most of the time indoors every day, pollution sources exist in the indoor environment, and the environmental pollution detection system can seriously affect the health of human bodies when being in the indoor environment with poor conditions for a long time, so that the family environment detection system can be produced at the discretion;
the existing home environment detection system has poor early warning function, and the feedback of information is slow and unintuitive, which is not beneficial to the timely adjustment of the indoor environment;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide an indoor environment quality early warning system based on the Internet of things, which is used for solving the technical defects, and comprises the steps of collecting the indoor air flow rate after ventilation, analyzing indoor dynamic environment data under the condition that the air flow rate is normal to obtain a corresponding early warning signal, immediately playing early warning information 'abnormal dynamic environment' voice, timely adjusting the indoor dynamic environment data to further improve the indoor dynamic environment quality, analyzing the indoor static environment data before ventilation to obtain a purification signal and a display signal, respectively and immediately and literally displaying an 'air purification' text document, an indoor bacteria content and a dust particle content change characteristic curve chart in indoor air, further timely purifying the indoor environment, improving the indoor environment quality, simultaneously improving the indoor environment quality early warning function, and being beneficial to intuitively knowing the indoor static environment data change condition.
The purpose of the invention can be realized by the following technical scheme:
an indoor environment quality early warning system based on the Internet of things comprises a data acquisition unit, a monitoring analysis unit, a server, an internal environment dynamic analysis unit, a static feedback analysis unit, a supervision evaluation analysis unit, an early warning unit and a display unit;
the data acquisition unit is used for acquiring air flow rate in the ventilated rear room, indoor dynamic environment data and indoor static environment data before ventilation, sending the air flow rate in the ventilated rear room to the monitoring analysis unit, sending the indoor dynamic environment data after ventilation to the internal environment dynamic analysis unit and sending the indoor static environment data before ventilation to the static feedback analysis unit;
the monitoring and analyzing unit analyzes the air flow speed after receiving the air flow speed to obtain a normal signal and a ventilation signal, and respectively sends the normal signal and the ventilation signal to the internal environment dynamic analyzing unit and the display unit, and the display unit immediately displays a 'ventilation' text document in a text mode after receiving the ventilation signal;
after receiving the normal signals and the indoor dynamic environment data, the internal environment dynamic analysis unit analyzes the dynamic environment data to obtain a dynamic environment coefficient DH, sends the dynamic environment coefficient DH to the supervision evaluation analysis unit, obtains early warning signals at the same time, and immediately plays the voice of early warning information 'dynamic environment abnormity' after receiving the early warning signals;
after the static feedback analysis unit receives the static environment data in the room before ventilation, the static environment data in the room before ventilation comprises a characteristic curve graph of indoor bacteria content and dust particle content change in indoor air, the static environment data is analyzed to obtain an environment influence coefficient Y and sent to the supervision evaluation analysis unit, a purification signal and a display signal are obtained at the same time and sent to the display unit, and the display unit respectively displays an 'air purification' text document and displays the characteristic curve graph of indoor bacteria content and dust particle content change in indoor air in a text mode after receiving the purification signal and the display signal;
and after receiving the dynamic environment coefficient DH and the environment influence coefficient Y, the supervision evaluation analysis unit immediately analyzes the environment influence coefficient Y and the dynamic environment coefficient DH before and after indoor ventilation to obtain high-quality signals, general signals and range signals, and sends the high-quality signals, the general signals and the range signals to the display unit.
Preferably, the monitoring and analyzing unit comprises the following analysis processes:
setting the duration of twenty-four hours as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number greater than zero, acquiring indoor air flow rate in each sub-time period, marking the air flow rate as an analysis flow rate Fi, constructing a set of the analysis flow rate Fi, drawing an analysis flow rate Fi curve segment in a rectangular coordinate system, drawing a preset analysis flow rate threshold interval ray on an analysis flow rate Fi curve segment coordinate system, acquiring the total length of a line segment of the analysis flow rate Fi curve segment, which is located in the preset analysis flow rate threshold interval ray, marking the line segment as a flow rate length LS, and comparing and analyzing the flow rate length LS with a preset flow rate length recorded and stored in the interior of the analysis flow rate LS:
if the flow rate length LS is larger than or equal to the preset flow rate length, generating a normal signal;
and if the flow velocity length LS is less than the preset flow velocity length, generating a ventilation signal.
Preferably, the dynamic environment data analysis process of the internal environment dynamic analysis unit is as follows:
the first step is as follows: acquiring indoor volatile harmful gas content values in each sub-time period, marking the indoor volatile harmful gas content values as harmful gas values YHi, constructing a set of the harmful gas values YHi, drawing a curve of the harmful gas values YHi in a rectangular coordinate system, marking the curve as a harmful gas curve, drawing a preset harmful gas value threshold ray on the harmful gas curve, acquiring total duration corresponding to the harmful gas curve above and on the preset harmful gas value threshold ray, and marking the total duration as analysis duration SC;
obtaining the change curve graphs of the indoor temperature and the humidity in the time threshold, drawing the change curve graphs of the indoor temperature and the humidity in the same rectangular coordinate system, marking the change curve graphs as reference curves, uniformly dividing the time threshold into t sections according to the k duration, wherein both k and t are natural numbers larger than zero, obtaining the indoor average temperature value and the indoor average humidity value corresponding to each t section according to the reference curves, marking the average temperature value Wt and the average humidity value St respectively, constructing a set of the average temperature value Wt and the average humidity value St respectively, obtaining the ratio of the average temperature value to the average humidity value of the corresponding duration according to the set of the average temperature value Wt and the average humidity value St, marking the ratio as a temperature-humidity ratio, constructing a coordinate system graph of the time-temperature-humidity ratio, marking the coordinate system graph as the temperature-humidity curve graph, drawing a preset temperature-humidity ratio interval threshold curve on the temperature-humidity curve graph, re-marking the number of the temperature-humidity ratio outside the temperature-humidity interval threshold curve as '1', obtaining the total number of '1', marking the abnormal temperature-humidity number as a YW label;
the second step is that: obtaining a dynamic environment coefficient DH through formula calculation, and comparing and analyzing the dynamic environment coefficient DH and a preset dynamic environment coefficient recorded and stored in the dynamic environment coefficient DH:
if the dynamic environment coefficient DH is not less than the preset dynamic environment coefficient, generating an early warning signal;
if the dynamic environment coefficient DH is less than the preset dynamic environment coefficient, no signal is generated.
Preferably, the static environment data analysis process of the static feedback analysis unit is as follows:
the method comprises the following steps: acquiring the indoor bacteria content in each sub-time period, marking the indoor bacteria content as interfering bacteria Gi, constructing a set of the interfering bacteria Gi, acquiring a maximum subset and a minimum subset in the set at the same time, respectively marking the subsets as Gmax and Gmin, acquiring the time length between the Gmax and the Gmin, acquiring the difference between the Gmax and the Gmin at the same time, acquiring the growth speed of the interfering bacteria in unit time by dividing the difference between the Gmax and the Gmin by the time length between the Gmax and the Gmin, and marking the growth speed as an interfering speed GV;
uniformly dividing an indoor space into g sub-regions, wherein g is a natural number greater than zero, acquiring a characteristic curve graph of the content change of dust particles in indoor air of each sub-region within a time threshold, marking the characteristic curve graph as a dust interference map, and marking the characteristic curve graph as GFg, acquiring the maximum value and the minimum value of the content of the dust particles in the indoor air corresponding to the dust interference map, respectively marking the maximum value and the minimum value as GFmax and GFmin, comparing the sum of GFmax and GFmin with the sum of preset GFmax and GFmin recorded and stored in the dust interference map, performing quantity statistics on the dust interference map corresponding to the sum of the GFmax and the GFmin, and acquiring the total number of the dust interference maps corresponding to the sum of the GFmax and the GFmin which are greater than or equal to the preset GFmax and GFmin: m, wherein m is a natural number and is calculated as follows: m =1-M/g, obtaining a ratio M of interference dust graphs corresponding to the sum of preset GFmax and GFmin;
step two: obtaining an environmental influence coefficient Y through formula calculation, and comparing and analyzing the environmental influence coefficient Y and a preset environmental influence coefficient recorded and stored in the environmental influence coefficient Y:
if the environmental influence coefficient Y is larger than or equal to the preset environmental influence coefficient, generating a purification signal;
and if the environmental influence coefficient Y is less than the preset environmental influence coefficient, generating a display signal.
Preferably, the analysis process of the supervision evaluation analysis unit is as follows:
after receiving the dynamic environment coefficient DH and the environment influence coefficient Y, the supervision evaluation analysis unit obtains an indoor environment coefficient Z through a formula, and compares and analyzes the indoor environment coefficient Z and a preset indoor environment coefficient interval recorded and stored in the indoor environment coefficient Z:
if the indoor environment coefficient Z is smaller than the minimum value of the preset indoor environment coefficient interval, generating a high-quality signal;
if the indoor environment coefficient Z is within the preset indoor environment coefficient interval, generating a general signal;
and if the indoor environment coefficient Z is larger than the maximum value of the preset indoor environment coefficient interval, generating a range difference signal.
Preferably, the display unit immediately displays the text document with good environment in a text mode after receiving the high-quality signal;
the display unit immediately displays the text document of 'environment general' by characters after receiving the general signal;
and immediately displaying the text document of 'environment extreme difference' by characters after the display unit receives the extreme difference signal.
The invention has the following beneficial effects:
(1) The indoor dynamic environment data are analyzed by acquiring the indoor air flow rate after ventilation, and by means of progressive analysis, information feedback and threshold substitution comparison under the condition that the air flow rate is normal, a corresponding early warning signal is obtained, early warning information 'dynamic environment abnormal' voice is immediately played, the indoor dynamic environment data are timely adjusted, the indoor dynamic environment quality is further improved, a 'ventilation' text document is immediately displayed in a text mode when the ventilation signal is generated, and therefore the fact that people are reminded of timely adjusting the opening angle of a window is facilitated, and indoor air smell is conveniently and timely changed;
(2) The indoor static environment data before ventilation is subjected to symbolic calibration and progressive analysis, namely, the collected objects and the hierarchy division of the processing flow are combined and compared to obtain a purification signal and a display signal, and an 'air purification' text document, an indoor bacteria content and a dust particle content change characteristic curve graph in indoor air are immediately displayed in a text mode respectively, so that the indoor environment is timely purified, the indoor environment quality is improved, meanwhile, the indoor environment quality early warning function is improved, and the change condition of the indoor static environment data is visually known;
(3) The method comprises the steps of analyzing environmental influence coefficients and dynamic environment coefficients before and after indoor ventilation by means of information feedback, threshold substitution comparison and in-depth analysis to obtain corresponding signals and display characters, namely generating high-quality signals, immediately displaying text documents with excellent environment by characters, generating general signals, immediately displaying text documents with general environment by characters, generating extremely poor signals, immediately displaying text documents with extremely poor environment by characters, and further being beneficial to visually knowing the indoor environmental quality.
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The invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
please refer to fig. 1, the invention is an indoor environmental quality early warning system based on internet of things, comprising a data acquisition unit, a monitoring analysis unit, a server, an internal environment dynamic analysis unit, a static feedback analysis unit, a supervision evaluation analysis unit, an early warning unit and a display unit, wherein the data acquisition unit is in one-way communication connection with the monitoring analysis unit, the monitoring analysis unit is in one-way communication connection with the server, the server is in two-way communication connection with the internal environment dynamic analysis unit, the server is in two-way communication connection with the static feedback analysis unit, the server is in two-way communication connection with the supervision evaluation analysis unit, the server is in one-way communication connection with the early warning unit, and the server is in one-way communication connection with the display unit;
the data acquisition unit is used for gathering the indoor air velocity in ventilation rear room, the indoor static environmental data before the indoor dynamic environmental data in ventilation rear room and the ventilation, and with indoor air velocity in ventilation rear room send to monitoring analysis unit, the indoor dynamic environmental data in ventilation rear room sends to interior environmental dynamic analysis unit, and the indoor static environmental data sends to static feedback analysis unit before the ventilation, monitoring analysis unit is after receiving air velocity, and carry out the analysis to air velocity, concrete analysis steps are as follows:
setting the duration of twenty-four hours as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number greater than zero, acquiring indoor air flow rate in each sub-time period and marking the indoor air flow rate as an analysis flow rate, wherein the marking is Fi, constructing a set { F1, F2, F3,. Once, ft } of the analysis flow rate Fi, establishing a rectangular coordinate system by taking time as an X axis and the analysis flow rate Fi as a Y axis, drawing an analysis flow rate Fi curve segment in the rectangular coordinate system, drawing a preset analysis flow rate threshold interval ray on an analysis flow rate Fi curve segment coordinate system, acquiring the total length of a line segment of the analysis flow rate Fi curve segment, which is located within the preset analysis flow rate threshold interval ray, and marking the total length as a flow rate length LS, wherein the larger the flow rate length LS is, the more odor of indoor air is obviously changed, the more influence on the indoor environment is larger, otherwise, the smaller the influence on the indoor environment is caused, and the flow rate length LS stored in the interior is compared and analyzed:
if the flow velocity length LS is larger than or equal to the preset flow velocity length, generating a normal signal, sending the normal signal to an internal environment dynamic analysis unit through a server, if the flow velocity length LS is smaller than the preset flow velocity length, generating a ventilation signal, sending the ventilation signal to a display unit through the server, and immediately displaying a ventilation text document in a text mode after the display unit receives the ventilation signal, so that a person can be reminded to adjust the opening angle of a window in time, and the indoor air smell can be conveniently and timely changed;
after the internal environment dynamic analysis unit receives the normal signal and the indoor dynamic environment data, the dynamic environment data comprise the indoor volatile harmful gas content value and the change curve graph of the indoor temperature and humidity, and the dynamic environment data are analyzed, and the specific analysis steps are as follows:
acquiring indoor volatile harmful gas content values in each sub-period, marking the indoor volatile harmful gas content values as harmful gas values, marking the indoor volatile harmful gas content values as YHi, establishing a set { YH1, YH2, YH3,. And.yhi } of the harmful gas values YHi, establishing a rectangular coordinate system by taking time as an X axis and taking the harmful gas values YHi as a Y axis, drawing a curve of the harmful gas values YHi in the rectangular coordinate system, marking the curve as a harmful gas curve, drawing a preset harmful gas value threshold ray on the harmful gas curve, acquiring total duration corresponding to the harmful gas curve above and on the line of the preset harmful gas value threshold ray, and marking the total duration as analysis duration SC, wherein the analysis duration SC needs to be explained to be shorter if the numerical value of the analysis duration SC is larger, the indoor harmful gas volatilization is explained to be larger, the purification duration is longer, the pollution influence on the indoor environment is obtained, otherwise, the analysis duration SC is analyzed to be smaller, the indoor harmful gas volatilization is explained to be smaller, and the pollution on the indoor environment is smaller;
obtaining a change curve graph of indoor temperature and humidity in a time threshold, drawing the change curve graph of the indoor temperature and humidity in the same rectangular coordinate system, marking the change curve graph as a reference curve, uniformly dividing the time threshold into t sections according to k duration, wherein k and t are natural numbers larger than zero, and k is a unit hour, obtaining an indoor average temperature value and an indoor average humidity value corresponding to each t section according to the reference curve, marking the average temperature value Wt and the average humidity value St respectively, constructing a set { W1, W2, W3, a.
And by the formula:
obtaining a dynamic environment coefficient, wherein alpha and beta are respectively a correction coefficient of analysis duration and a correction coefficient of abnormal temperature and humidity number, alpha is more than beta and is more than 0, alpha + beta =1.685, DH is the dynamic environment coefficient, the accuracy of the dynamic environment coefficient DH is improved by obtaining the dynamic environment coefficient DH through calculation, meanwhile, the reliability of the dynamic environment coefficient DH as an analysis basis is improved, the dynamic environment coefficient DH is sent to a supervision evaluation analysis unit through a server, and meanwhile, the dynamic environment coefficient DH is compared and analyzed with a preset dynamic environment coefficient which is recorded and stored in the dynamic environment coefficient DH:
if the dynamic environment coefficient DH is not less than the preset dynamic environment coefficient, generating an early warning signal, sending the early warning signal to an early warning unit, immediately playing early warning information 'dynamic environment abnormal' voice after the early warning unit receives the early warning signal, and timely adjusting indoor dynamic environment data so as to improve indoor dynamic environment quality;
if the dynamic environment coefficient DH is less than the preset dynamic environment coefficient, no signal is generated, and it should be noted that the dynamic environment coefficient DH at this time meets the requirement of the preset dynamic environment coefficient.
Example 2:
the static feedback analysis unit receives static environment data in the room before ventilation, the static environment data in the room before ventilation comprises indoor bacteria content and a characteristic curve graph of dust particle content change in indoor air, and the static environment data are analyzed, and the specific analysis process is as follows:
acquiring the indoor bacteria content in each sub-time period, marking the indoor bacteria content as interfering bacteria Gi, constructing a set of the interfering bacteria Gi, acquiring a maximum subset and a minimum subset in the set, respectively marking the maximum subset and the minimum subset as Gmax and Gmin, wherein the Gmax and the Gmin respectively represent that the indoor interfering bacteria are in maximum content and minimum content, the maximum content of the interfering bacteria has greater influence on the indoor environment, the minimum content of the interfering bacteria has smaller influence on the indoor environment, the time duration between the Gmax and the Gmin is acquired, the difference between the Gmax and the Gmin is acquired, the growth rate of the interfering bacteria in unit time is acquired by dividing the difference between the Gmax and the Gmin by the time duration between the Gmax and the Gmin, and the interfering bacteria is marked as interfering velocity GV, wherein the larger the interfering velocity GV is, the larger the influence on the indoor environment quality is acquired, the more serious the indoor pollution is caused, and the smaller the interfering velocity GV is, the smaller the indoor environment quality is caused;
uniformly dividing an indoor space into g sub-regions, wherein g is a natural number greater than zero, acquiring a characteristic curve graph of the change of the content of dust particles in indoor air of each sub-region within a time threshold, marking the characteristic curve graph as a dust interference map, and marking the characteristic curve graph as GFg, acquiring the maximum value and the minimum value of the content of the dust particles in the indoor air corresponding to the dust interference map, respectively marking the characteristic curve graph as GFmax and GFmin, and comparing the GFmax and GFmin with the sum of preset GFmax and GFmin recorded and stored in the interference map, wherein the larger the value of the sum of GFmax and GFmin is, the larger the content of the dust particles in the air of the sub-region is, the larger the influence on the indoor environment is, and the smaller the value of the sum of GFmax and GFmin is, the smaller the content of the dust particles in the air of the sub-region is, the smaller the influence on the indoor environment is, counting the sum of the preset GFmax and GFmin is, and acquiring the total number of the dust particles greater than or equal to the preset GFmin and the number of the interference map corresponding to the GFmin: m, wherein m is a natural number and is calculated as follows: m =1-M/g, obtaining a ratio value M of the interference dust graph corresponding to the sum of the preset GFmax and GFmin, wherein the larger the ratio value M of the interference dust graph corresponding to the sum of the preset GFmax and GFmin, the smaller the influence of the dust particle content in the indoor air on the indoor is, and conversely, the smaller the ratio value M of the interference dust graph corresponding to the sum of the preset GFmax and GFmin isThe smaller the value of M, the greater the influence of the dust particle content in the room air on the room, and the interference velocity GV and the ratio M are analyzed in a formula way, that is to say
Obtaining an environmental influence coefficient Y, wherein a and b are respectively a correction coefficient of an interference speed and a correction coefficient of a ratio value, a is greater than b is greater than 0, Y is an environmental influence coefficient, it should be noted that the larger the value of the environmental influence coefficient Y is, the more serious the indoor environment is polluted, and conversely, the smaller the value of the environmental influence coefficient Y is, the lighter the indoor environment is polluted, the environmental influence coefficient Y is sent to a supervision evaluation analysis unit through a server, and meanwhile, the environmental influence coefficient Y is compared with a preset environmental influence coefficient recorded and stored in the server for analysis:
if the environmental influence coefficient Y is larger than or equal to the preset environmental influence coefficient, a purification signal is generated and sent to the display unit, the display unit immediately displays an air purification text document in a text mode after receiving the purification signal, then indoor environment is purified in time, indoor environmental quality is improved, and meanwhile an indoor environmental quality early warning function is improved;
if the environmental influence coefficient Y is smaller than the preset environmental influence coefficient, a display signal is generated and sent to the display unit, and the display unit immediately displays the indoor bacteria content and the change characteristic curve graph of the dust particle content in the indoor air after receiving the display signal, so that the change condition of the indoor static environmental data can be intuitively known.
Example 3:
after receiving the dynamic environment coefficient DH and the environment influence coefficient Y, the supervision evaluation analysis unit immediately analyzes the environment influence coefficient Y and the dynamic environment coefficient DH before and after indoor ventilation, and the environment influence coefficient Y and the environment influence coefficient DH are subjected to formula analysis
Obtaining an indoor environment coefficient Z, wherein Z is the indoor environment coefficient, and it should be noted that the larger the value of the indoor environment coefficient Z is, the lower the overall quality of the indoor environment is, otherwise,the smaller the numerical value of the indoor environment coefficient Z is, the better the overall quality of the indoor environment is, and the indoor environment coefficient Z is compared and analyzed with a preset indoor environment coefficient interval recorded and stored inside the indoor environment coefficient Z:
if the indoor environment coefficient Z is smaller than the minimum value of the preset indoor environment coefficient interval, judging that the indoor environment quality is good, generating a high-quality signal, and sending the high-quality signal to the display unit, wherein the display unit immediately displays a text document of 'good environment' in a text manner after receiving the high-quality signal, so that the intuitive understanding of the indoor environment quality is facilitated, and a solution is made in time;
if the indoor environment coefficient Z is within the preset indoor environment coefficient interval, judging that the indoor environment quality is general, generating a general signal, and sending the general signal to the display unit, wherein the display unit immediately displays a text document of general environment in a text mode after receiving the general signal, so that the intuitive understanding of the indoor environment quality is facilitated;
if the indoor environment coefficient Z is larger than the maximum value of the preset indoor environment coefficient interval, judging that the indoor environment quality is extremely poor, generating an extremely poor signal and sending the extremely poor signal to the display unit, and immediately displaying an 'environment extremely poor' text document in a text mode after the display unit receives the extremely poor signal so as to be beneficial to visually knowing the indoor environment quality;
in summary, the indoor air flow rate after ventilation is collected, the indoor dynamic environment data is analyzed in a progressive analysis, information feedback and threshold substitution comparison mode under the condition that the air flow rate is normal, a corresponding early warning signal is obtained, early warning information 'dynamic environment abnormal' voice is immediately played, the indoor dynamic environment data is timely adjusted, the indoor dynamic environment quality is further improved, a 'ventilation' text document is immediately displayed in a text mode when the ventilation signal is generated, and therefore people can be reminded to timely adjust the opening angle of a window, and the indoor air smell can be conveniently and timely changed; the indoor static environment data before ventilation is subjected to symbolic calibration and progressive analysis, namely, the collected objects and the hierarchy division of the processing flow are combined and compared to obtain a purification signal and a display signal, and an 'air purification' text document, an indoor bacteria content and a dust particle content change characteristic curve graph in the indoor air are immediately displayed in a text mode respectively, so that the indoor environment is timely purified, the indoor environment quality is improved, meanwhile, the indoor environment quality early warning function is improved, and the change condition of the indoor static environment data is facilitated to be visually known; and the environmental influence coefficient Y and the dynamic environment coefficient DH before and after the indoor ventilation are analyzed by the modes of information feedback, threshold value substitution comparison and in-depth analysis to obtain corresponding signals and display characters, namely, high-quality signals are generated, text documents with excellent environment are immediately displayed in characters, general signals are generated, text documents with general environment are immediately displayed in characters, extremely poor signals are generated, text documents with extremely poor environment are immediately displayed in characters, and further the indoor environmental quality is visually known.
The above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions, and the above descriptions are only preferred embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can be within the technical scope of the present invention, and equivalent substitutions or changes according to the technical scheme and the inventive concept thereof should be covered within the scope of the present invention.
Claims (6)
1. An indoor environment quality early warning system based on the Internet of things is characterized by comprising a data acquisition unit, a monitoring analysis unit, a server, an internal environment dynamic analysis unit, a static feedback analysis unit, a supervision evaluation analysis unit, an early warning unit and a display unit;
the data acquisition unit is used for acquiring air flow rate in a ventilated room, indoor dynamic environment data and indoor static environment data before ventilation, transmitting the air flow rate in the ventilated room to the monitoring analysis unit, transmitting the indoor dynamic environment data after ventilation to the internal environment dynamic analysis unit and transmitting the indoor static environment data before ventilation to the static feedback analysis unit;
after receiving the air flow rate, the monitoring and analyzing unit analyzes the air flow rate to obtain a normal signal and a ventilation signal, and respectively sends the normal signal and the ventilation signal to the internal environment dynamic analyzing unit and the display unit, and the display unit immediately displays a 'ventilation' text document in a text mode after receiving the ventilation signal;
after the internal environment dynamic analysis unit receives normal signals and indoor dynamic environment data, the dynamic environment data comprise indoor volatile harmful gas content values and indoor temperature and humidity change curve charts, the dynamic environment data are analyzed to obtain a dynamic environment coefficient DH, the dynamic environment coefficient DH is sent to the supervision evaluation analysis unit, meanwhile, an early warning signal is obtained and sent to the early warning unit, and after the early warning unit receives the early warning signal, early warning information 'dynamic environment abnormal' voice is immediately played;
after the static feedback analysis unit receives the static environment data in the room before ventilation, the static environment data in the room before ventilation comprises a characteristic curve graph of indoor bacteria content and dust particle content change in indoor air, the static environment data is analyzed to obtain an environment influence coefficient Y and sent to the supervision evaluation analysis unit, a purification signal and a display signal are obtained at the same time and sent to the display unit, and the display unit respectively displays an 'air purification' text document and displays the characteristic curve graph of indoor bacteria content and dust particle content change in indoor air in a text mode after receiving the purification signal and the display signal;
and after receiving the dynamic environment coefficient DH and the environment influence coefficient Y, the supervision, evaluation and analysis unit immediately analyzes the environment influence coefficient Y and the dynamic environment coefficient DH before and after indoor ventilation to obtain high-quality signals, general signals and extreme difference signals, and sends the high-quality signals, the general signals and the extreme difference signals to the display unit.
2. The indoor environment quality early warning system based on the internet of things as claimed in claim 1, wherein the monitoring and analyzing unit comprises the following analysis processes:
setting the duration of twenty-four hours as a time threshold, dividing the time threshold into i sub-time periods, wherein i is a natural number greater than zero, acquiring indoor air flow rate in each sub-time period, marking the indoor air flow rate as an analysis flow rate Fi, constructing a set of the analysis flow rate Fi, drawing an analysis flow rate Fi curve segment in a rectangular coordinate system, drawing a preset analysis flow rate threshold interval ray on an analysis flow rate Fi curve segment coordinate system, acquiring the total length of a line segment of the analysis flow rate Fi curve segment, which is located in the preset analysis flow rate threshold interval ray, marking the total length as a flow rate length LS, and comparing and analyzing the flow rate length LS with the preset flow rate length recorded and stored in the interior of the analysis flow rate LS:
if the flow rate length LS is larger than or equal to the preset flow rate length, generating a normal signal;
and if the flow velocity length LS is less than the preset flow velocity length, generating a ventilation signal.
3. The internet of things-based indoor environment quality early warning system of claim 1, wherein the dynamic environment data analysis process of the internal environment dynamic analysis unit is as follows:
the first step is as follows: acquiring indoor volatile harmful gas content values in each sub-time period, marking the indoor volatile harmful gas content values as harmful gas values YHi, constructing a set of the harmful gas values YHi, drawing a curve of the harmful gas values YHi in a rectangular coordinate system, marking the curve as a harmful gas curve, drawing a preset harmful gas value threshold ray on the harmful gas curve, acquiring total time corresponding to the harmful gas curve above and on the preset harmful gas value threshold ray, and marking the total time as analysis time SC;
obtaining a change curve graph of indoor temperature and humidity in a time threshold, drawing the change curve graph of the indoor temperature and humidity in the same rectangular coordinate system, marking the change curve graph as a reference curve, uniformly dividing the time threshold into t sections according to k time length, wherein both k and t are natural numbers larger than zero, obtaining an indoor average temperature value and an indoor average humidity value corresponding to each t section according to the reference curve, marking a temperature leveling value Wt and a humidity leveling value St respectively, constructing a set of the temperature leveling value Wt and the humidity leveling value St respectively, obtaining a ratio of the temperature leveling value and the humidity leveling value of the corresponding time length according to the set of the temperature leveling value Wt and the humidity leveling value St, marking the temperature leveling value and the humidity leveling value as a temperature-humidity ratio, constructing a coordinate system graph of the time-temperature-humidity ratio, marking the coordinate system graph as a temperature-humidity curve graph, drawing a preset temperature-humidity ratio interval threshold curve on the temperature-humidity curve, re-temperature-humidity ratio numbers outside the temperature-humidity interval threshold curve are marked as '1', obtaining a total number of '1', and marking the total number as an abnormal temperature-humidity number as a YW;
the second step is that: obtaining a dynamic environment coefficient DH through formula calculation, and comparing and analyzing the dynamic environment coefficient DH and a preset dynamic environment coefficient recorded and stored in the dynamic environment coefficient DH:
if the dynamic environment coefficient DH is more than or equal to the preset dynamic environment coefficient, generating an early warning signal;
if the dynamic environment coefficient DH is less than the preset dynamic environment coefficient, no signal is generated.
4. The indoor environment quality early warning system based on the internet of things according to claim 1, wherein the static environment data analysis process of the static feedback analysis unit is as follows:
the method comprises the following steps: acquiring the indoor bacteria content in each sub-period, marking the indoor bacteria content as interfering bacteria Gi, constructing a set of the interfering bacteria Gi, acquiring a maximum subset and a minimum subset in the set, marking the maximum subset and the minimum subset as Gmax and Gmin respectively, acquiring the time length between the Gmax and the Gmin, acquiring the difference between the Gmax and the Gmin, acquiring the growth speed of the interfering bacteria in unit time by dividing the time length between the Gmax and the Gmin by the difference between the Gmax and the Gmin, and marking the growth speed as an interfering speed GV;
uniformly dividing an indoor space into g sub-regions, wherein g is a natural number greater than zero, acquiring a characteristic curve graph of the content change of dust particles in indoor air of each sub-region within a time threshold, marking the characteristic curve graph as a dust interference map, and marking the characteristic curve graph as GFg, acquiring the maximum value and the minimum value of the content of the dust particles in the indoor air corresponding to the dust interference map, respectively marking the maximum value and the minimum value as GFmax and GFmin, comparing the sum of GFmax and GFmin with the sum of preset GFmax and GFmin recorded and stored in the dust interference map, performing quantity statistics on the dust interference map corresponding to the sum of the GFmax and the GFmin, and acquiring the total number of the dust interference maps corresponding to the sum of the GFmax and the GFmin which are greater than or equal to the preset GFmax and GFmin: m, wherein m is a natural number, and the calculation is as follows: m =1-M/g, obtaining a ratio M of interference dust graphs corresponding to the sum of preset GFmax and GFmin;
step two: obtaining an environmental influence coefficient Y through formula calculation, and comparing and analyzing the environmental influence coefficient Y and a preset environmental influence coefficient recorded and stored in the environmental influence coefficient Y:
if the environmental influence coefficient Y is larger than or equal to the preset environmental influence coefficient, generating a purification signal;
and if the environmental influence coefficient Y is less than the preset environmental influence coefficient, generating a display signal.
5. The internet of things-based indoor environment quality early warning system according to claim 1, wherein the supervision evaluation analysis unit comprises the following analysis processes:
after receiving the dynamic environment coefficient DH and the environment influence coefficient Y, the supervision evaluation analysis unit obtains an indoor environment coefficient Z through a formula, and compares and analyzes the indoor environment coefficient Z and a preset indoor environment coefficient interval recorded and stored in the indoor environment coefficient Z:
if the indoor environment coefficient Z is smaller than the minimum value of the preset indoor environment coefficient interval, generating a high-quality signal;
if the indoor environment coefficient Z is within the preset indoor environment coefficient interval, generating a general signal;
and if the indoor environment coefficient Z is larger than the maximum value of the preset indoor environment coefficient interval, generating a range difference signal.
6. The indoor environment quality early warning system based on the Internet of things is characterized in that the display unit immediately displays an 'environment good' text document in a text mode after receiving a good-quality signal;
the display unit immediately displays the text document of 'environment general' by characters after receiving the general signal;
and the display unit immediately displays the text document of 'environment extreme difference' in a character mode after receiving the extreme difference signal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116428682A (en) * | 2023-04-14 | 2023-07-14 | 浙江飞骏医疗科技有限公司 | Air disinfection purifier based on intelligent level regulation and control |
| CN116559376B (en) * | 2023-05-26 | 2024-01-30 | 广东雅建建设科技股份有限公司 | Indoor environment state monitoring system for decoration engineering |
| CN118038620A (en) * | 2024-04-11 | 2024-05-14 | 深圳天益建设工程有限公司 | Intelligent fire safety monitoring system and method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116428682A (en) * | 2023-04-14 | 2023-07-14 | 浙江飞骏医疗科技有限公司 | Air disinfection purifier based on intelligent level regulation and control |
| CN116428682B (en) * | 2023-04-14 | 2023-10-03 | 浙江飞骏医疗科技有限公司 | Air disinfection purifier based on intelligent level regulation and control |
| CN116559376B (en) * | 2023-05-26 | 2024-01-30 | 广东雅建建设科技股份有限公司 | Indoor environment state monitoring system for decoration engineering |
| CN118038620A (en) * | 2024-04-11 | 2024-05-14 | 深圳天益建设工程有限公司 | Intelligent fire safety monitoring system and method |
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