CN117290174A - Intelligent equipment supervision system and method based on Internet of things - Google Patents
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Abstract
The invention relates to the technical field of multimedia equipment adjustment, in particular to an intelligent equipment supervision system and method based on the Internet of things.
Description
Technical Field
The invention relates to the technical field of multimedia equipment regulation, in particular to an intelligent equipment supervision system and method based on the Internet of things.
Background
In present multimedia age, people are used for providing information to ordinary masses through setting up numerous outdoor display screen often, but outdoor display screen has more restriction in the use, and outdoor display screen's operating temperature generally does not exceed 40 degrees centigrade generally, and when operating temperature exceeded 40 degrees centigrade, outdoor display screen can cause the influence because of operating temperature is too high makes the life of display screen, increases its probability of breaking down, and then people need monitor outdoor display screen's operating condition.
In the existing intelligent equipment supervision system and method based on the Internet of things, the working temperature value of the outdoor display screen is simply obtained in real time through a sensor and is transmitted to the cloud platform, whether the value obtained by the sensor in the cloud platform is abnormal or not is judged in real time, the mode has a large defect, the data obtained by the sensor are all the conditions which occur, the cloud platform cannot predict the working temperature of the outdoor display screen in advance, and the working brightness of the outdoor display screen cannot be adjusted in real time according to the working temperature of the outdoor display screen.
Disclosure of Invention
The invention aims to provide an intelligent equipment supervision system and method based on the Internet of things, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent device supervision method based on the internet of things, the method comprising the following steps:
s1, recording the starting time of an outdoor display screen currently running as tk, recording the current time as t1, acquiring preset values t2-tk of the running duration of the outdoor display screen, acquiring temperatures corresponding to different time points in the (t 1, t 2) time period through weather forecast, recording the temperature corresponding to the time point t3 in the weather forecast as Tt3 and t3 epsilon (t 1, t2], (t 1, t 2) represents time points which are larger than t1 and smaller than or equal to t 2;
s2, acquiring heat generated by one display screen module in the outdoor display screen in unit time under the condition of different display brightness through a database to obtain the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen, wherein the outdoor display screen comprises n display screen modules with the same specification;
s3, acquiring the variation quantity of the temperature rise in the outdoor display screen caused by the non-overflowed heat generated during the operation of the display screen in the outdoor display screen through a first lookup table in the database, and acquiring the heat dissipation rates respectively corresponding to the fans in the outdoor display screen under different temperature differences inside and outside the display screen through the database to acquire the relation between the temperature differences inside and outside the display screen and the heat dissipation rates of the fans in the outdoor display screen;
S4, acquiring a change trend of the intensity of ambient light around the outdoor display screen within [ tk, t1] through a light source sensor arranged in the outdoor display screen, predicting the change condition of the intensity of ambient light around the outdoor display screen within (t 1, t 2) according to the acquired change trend, and combining the standard working temperature upper limit value of the outdoor display screen prefabricated in a database to acquire first display brightness values corresponding to different time points within (t 1, t 2);
s5, combining the optimal display brightness values corresponding to the intensities of the ambient light around different outdoor display screens in the database to obtain second display brightness values corresponding to different time points in the (t 1, t 2);
s6, acquiring a first display brightness value and a second display brightness value which correspond to different time points in the (t 1, t 2), obtaining operation display brightness values which correspond to different time points in the (t 1, t 2) of the outdoor display screen, and regulating, controlling and controlling the brightness of the outdoor display screen.
The data acquired by each sensor needs to be transmitted to the cloud platform for data storage and data analysis, and the analysis and processing processes of the data in each step are carried out in the cloud platform.
Further, the method for obtaining the relationship between the different display brightness and the heat generation rate of each display module in the outdoor display screen in S2 includes the following steps:
S21, acquiring heat generated by one display screen module of an outdoor display screen in a database in unit time under different display brightness conditions, and recording the heat generated by the one display screen module of the outdoor display screen in the database in unit time B under the condition that the display brightness is A as RAB (random access memory) to obtain a brightness heat generation relation data pair (A, RAB/B), wherein the RAB/B represents the heat generation rate of the one display screen module of the outdoor display screen in the unit time B under the condition that the display brightness is A, and the B is a preset constant in the database, wherein A is more than or equal to 0 and less than or equal to 1;
s22, marking corresponding coordinate points in a first plane rectangular coordinate system according to the brightness heat generation relation data when A is different values, and marking corresponding coordinate points in a matlab according to a first preset function y=a1/[ 1+e -(a2*x+a3) ]+a4 fitting the marked points in the rectangular coordinate system of the first plane, and recording the function corresponding to the final fitting result as G (x), wherein a1, a2, a3 and a4 are all coefficients of a first preset function,
the first plane rectangular coordinate system is constructed with o as an origin, display brightness as an x-axis and heat generation rate as a y-axis.
In the process of obtaining the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen in the S2, the corresponding heat generation rate of the outdoor display screen is different in consideration of different brightness when the outdoor display screen works, so that the influence on the working temperature in the outdoor display screen is different, the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen is analyzed, the first display brightness value corresponding to the outdoor display screen in different time points is conveniently predicted in the subsequent process, and data reference is provided for realizing adjustment of the brightness of the outdoor display screen.
Further, the method for obtaining the relationship between the temperature difference between the inside and outside of the display screen of the fan in the outdoor display screen and the heat dissipation rate in the step S3 comprises the following steps:
s31, obtaining heat dissipation rates respectively corresponding to fans in an outdoor display screen in a database under different temperature differences inside and outside the display screen, wherein the heat dissipation rates are equal to the ratio of the total heat dissipation amount of the fans in unit time to the corresponding time length of the fans in unit time under the condition that the temperature difference inside and outside the display screen is unchanged;
s32, marking the heat dissipation rate corresponding to the temperature difference TC of a fan in an outdoor display screen in a database as RSTC (reactive thermal control) in the display screen to obtain a first heat dissipation data pair (TC, RSTC);
s33, a second plane rectangular coordinate system is constructed by taking o1 as an origin, taking the temperature difference between the inside and outside of the display screen as an x1 axis and taking the heat dissipation rate as a y1 axis, and corresponding coordinate points of each stain accumulation amount data pair when TC is different values are marked in the second plane rectangular coordinate system;
s34, fitting the marked points in the rectangular coordinate system of the second plane according to a linear regression equation formula, wherein the linear regression equation formula is as follows
And taking a function corresponding to the fitting result as a relation between the temperature difference inside and outside a display screen of the fan in the outdoor display screen and the heat dissipation rate, and marking as G1 (x 1).
In the process of obtaining the relationship between the temperature difference between the inside and outside of the display screen and the heat dissipation rate of the outdoor display screen fan in the S3, when the temperature difference between the inside and outside of the outdoor display screen is considered to be different, the corresponding heat dissipation rates are also different, and further the change conditions of the working temperature in the outdoor display screen are also different under the influence of the heat dissipation rates.
Further, the method for predicting the change condition of the ambient light intensity around the outdoor display screen in (t 1, t 2) according to the obtained change trend in S4 includes the following steps:
s41, acquiring the intensity of ambient light around the outdoor display screen at different time points in [ tk, t1] through a light source sensor arranged in the outdoor display screen, recording the intensity of ambient light around the outdoor display screen at time point t4 as HQt4, and constructing an ambient light intensity data pair (t 4, HQt 4), wherein t4 epsilon [ tk, t1];
s42, acquiring the periphery of the outdoor display screen corresponding to each time point in the standard monitoring day stored in the historical dataThe intensity of ambient light, the time point within the standard monitoring day, is [0,24]In matlab, y3=b2×f (x3+b3) +b4 and according to a second preset function modelFitting data pairs (BC, QBC) corresponding to each time point in the standard monitoring day, marking a value corresponding to b3 in a function corresponding to a fitting result as Wb3, μ as W mu, BC representing the time point in the standard monitoring day, and QBC representing the intensity of ambient light around the outdoor display screen at the time point BC in the standard monitoring day;
S43, calibrating the second preset function model according to Wb3 and Wmu to obtain a calibrated second preset function model y3=b2×f (x3+Wb3) +b4 andfitting each corresponding ambient light intensity data pair (t 4, HQt 4) when t4 is different according to the calibrated second preset function model in matlab, wherein the fitting result is that the intensity of ambient light around the outdoor display screen is [ tk, t1 ]]The change trend in the model is recorded as U (x 3) as a function corresponding to the fitting result;
s44, predicting the change condition of the intensity of the ambient light around the outdoor display screen in (t 1, t 2), and recording a predicted value of the intensity of the ambient light around the outdoor display screen at a time point t3 as U (t 3) when t3 epsilon (t 1, t 2);
the method for obtaining the first display brightness values corresponding to different time points in (t 1, t 2) in the S4 comprises the following steps:
s401, acquiring the variation quantity of temperature rise in an outdoor display screen caused by non-scattered heat generated during the operation of the display screen through a first lookup table in a database, and acquiring G (x), G1 (x 1) and U (t 3);
s402, acquiring the working number n2 of display screen modules in the outdoor display screen at the current time, and respectively acquiring the internal temperature T of the outdoor display screen through temperature sensors c T1 and external temperature T c1 T1, acquiring the off-screen temperature T by combining the first lookup table c T1 and the in-screen temperature is T c1 the corresponding non-overflowed heat dissipation capacity at t2 is RYt1；
S403, obtaining a first display brightness value XL1t3 corresponding to a time point t3 in (t 1, t 2), wherein the first display brightness values corresponding to different time points in (t 1, t 2) are the same;
when the first display brightness value XL1t3 corresponding to the time point t3 in the (t 1, t 2) is obtained, an LSTM neural network model is adopted, at the time point t3, the LSTM is input with three input values, namely an input value X_t3 of the network at the current time point, an output value h_t3-delta t of the LSTM at the last time point and a unit state C_t3-delta t at the last time point,
wherein X_t3 is equal to the set of the temperature Tt3 corresponding to the time point t3 in the weather forecast in (t 1, t 2) and the first display brightness value XL1t3,
h_t3-Deltat represents the predicted value of the temperature in the outdoor display screen at the time t 3-Deltat immediately before the time t3,
C_t3-Deltat represents the heat dissipation rate corresponding to the time point t3 in the weather forecast in (t 1, t 2),
the output value h _ t3 of the current moment LSTM and the cell state C _ t3 of the current moment are obtained, wherein,
h_t3＝GR1{G(XL1t3)*n2*△t-C_t3，h_t3-△t}+(h_t3-△t)
C_t3＝G1(GR1{G(XL1t3)*n2*△t，h_t3-△t}+(h_t3-△t)-X_t3)
wherein,
g (XL 1t 3) represents the rate of heat generation at which each display module in the outdoor display displays a luminance XL1t3,
GR1{ G (XL 1t 3) ×n2×Δt, h_t3- Δt } represents the amount of change in the temperature h_t3- Δt in the first lookup table in the database by which the non-dispersed heat G (XL 1t 3) ×n2×Δt generated when the display screen operates in the outdoor display screen,
GR1{ G (xl1t3) ×n2×Δt—cjt3, h_t3- Δt } represents the amount of change in the first lookup table in the database that increases the temperature in the screen h_t3- Δt by the amount of non-dispersed heat G (xl1t3) ×n2×Δt—cjt3 generated when the display screen operates in the outdoor display screen,
when t3=t1, h_t1=t c t1，C_t1＝G1(T c t1-T c1 t1)，
Obtaining the output value h_t2 of the LSTM at the time t2 of the LSTM neural network model, comparing the h_t2 with YSZ,
when h_t2 corresponding to XL1t3 is larger than or equal to YSZ and h_t2 corresponding to XL1t3+LDC is smaller than YSZ, taking XL1t3 as a first display brightness value corresponding to a time point t3 in (t 1, t 2), wherein LDC is a brightness adjustment step length of an outdoor display screen, and YSZ is a standard working temperature upper limit value of the outdoor display screen prefabricated in a database.
In the process of obtaining the first display brightness values corresponding to different time points in the (t 1, t 2), the invention combines the influence of each factor (the first lookup table, the G (x), the G1 (x 1) and the U (t 3)) in the outdoor display screen on the working temperature, predicts the working temperature change condition of the outdoor display screen in a period of time through the LSTM neural network model, accurately obtains the first display brightness value of the outdoor display screen, and provides a data basis for adjusting the brightness of the outdoor display screen at each time point in the subsequent step.
Further, when the second display brightness values corresponding to different time points in the time point (t 1, t 2) are obtained in the step S5, a prediction result of the change condition of the intensity of the ambient light around the outdoor display screen in the time point (t 1, t 2) is obtained, a prediction value U (t 3) of the intensity of the ambient light around the outdoor display screen corresponding to the time point t3 is obtained,
obtaining the brightness of the outdoor display screen corresponding to the ambient light intensities of different outdoor display screens in a second preset form in the database, wherein each ambient light intensity of the outdoor display screen in the second preset form corresponds to one display brightness value,
and obtaining a display brightness value corresponding to U (t 3) in a second preset form, and marking the display brightness value as a second display brightness value XL2t3 corresponding to a time point t3 in the (t 1, t 2).
Further, in the step S6, in the process of obtaining the operation display brightness values corresponding to different time points in the (t 1, t 2) of the outdoor display screen, obtaining a first display brightness value and a second display brightness value corresponding to different time points in the (t 1, t 2) respectively, recording the operation display brightness value of the outdoor display screen corresponding to the time point t3 as YLt3, wherein, YLt3 =min { xl1t3, xl2t3}, xl1t3 represents the first display brightness value corresponding to the time point t3, xl2t3 represents the second display brightness value corresponding to the time point t3,
When the brightness of the outdoor display screen is regulated and controlled, the brightness of the outdoor display screen is controlled to be YLt at the time point t3,
when the brightness of the outdoor display screen is regulated, the operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen are calibrated once every first unit time, and the first unit time is a constant preset in a database.
An intelligent device supervision system based on the internet of things, the system comprising the following modules:
the information acquisition module is used for recording the opening time of the outdoor display screen currently running as tk, recording the current time as t1, acquiring preset values t2-tk of the current running time of the outdoor display screen, acquiring temperatures corresponding to different time points in the (t 1, t 2) time period through weather forecast, recording the temperature corresponding to the time point t3 in the weather forecast as Tt3 and t3 epsilon (t 1, t2], (t 1, t 2) represents time points which are larger than t1 and smaller than or equal to t 2;
the brightness analysis module is used for obtaining heat generated by one display screen module in the outdoor display screen in unit time under the condition of different display brightness through the database to obtain the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen, and the outdoor display screen comprises n display screen modules with the same specification;
The heat dissipation information analysis module acquires the variation quantity of the temperature rise in the outdoor display screen caused by the non-overflowed heat generated during the operation of the display screen in the outdoor display screen through a first lookup table in the database, acquires the heat dissipation rates respectively corresponding to the fans in the outdoor display screen under different temperature differences inside and outside the display screen through the database, and acquires the relation between the temperature differences inside and outside the display screen and the heat dissipation rates of the fans in the outdoor display screen;
the first display brightness prediction module acquires the change trend of the intensity of ambient light around the outdoor display screen within [ tk, t1] through a light source sensor arranged in the outdoor display screen, predicts the change condition of the intensity of ambient light around the outdoor display screen within (t 1, t 2) according to the acquired change trend, and combines the prefabricated standard working temperature upper limit value of the outdoor display screen in the database to acquire first display brightness values corresponding to different time points within (t 1, t 2);
the second display brightness prediction module is combined with the optimal display brightness values corresponding to the intensities of the ambient light around different outdoor display screens in the database to obtain second display brightness values corresponding to different time points in the (t 1, t 2);
And the brightness control module acquires a first display brightness value and a second display brightness value which correspond to different time points in (t 1, t 2), obtains operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen, and regulates and controls the brightness of the outdoor display screen.
Further, in the process of obtaining operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen, obtaining a first display brightness value and a second display brightness value corresponding to different time points in (t 1, t 2), respectively, recording the operation display brightness value of the outdoor display screen corresponding to the time point t3 as YLt3, wherein YLt3 =min { XL1t3, XL2t3}, XL1t3 represents the first display brightness value corresponding to the time point t3, XL2t3 represents the second display brightness value corresponding to the time point t3, controlling the brightness of the outdoor display screen to be YLt when the brightness of the outdoor display screen is regulated and controlled, and calibrating the operation display brightness value corresponding to different time points in (t 1, t 2) of the outdoor display screen once every first unit time, wherein the first unit time is a preset constant in a database.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the working temperature value of the outdoor display screen obtained by the sensor in real time is monitored through the cloud platform, the working temperature of the outdoor display screen is predicted in advance, the influence of different brightness of the outdoor display screen on the working temperature is analyzed, and further the working brightness of the outdoor display screen is regulated in real time, so that the effective management and control of the brightness and the temperature of the outdoor display screen are realized.
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The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic structural diagram of an intelligent device supervision system based on the internet of things;
fig. 2 is a schematic flow chart of an intelligent device supervision method based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: an intelligent device supervision method based on the internet of things, the method comprising the following steps:
s1, recording the starting time of an outdoor display screen currently running as tk, recording the current time as t1, acquiring preset values t2-tk of the running duration of the outdoor display screen, acquiring temperatures corresponding to different time points in the (t 1, t 2) time period through weather forecast, recording the temperature corresponding to the time point t3 in the weather forecast as Tt3 and t3 epsilon (t 1, t2], (t 1, t 2) represents time points which are larger than t1 and smaller than or equal to t 2;
in this embodiment, if tk is 10 a.m., if the predicted value of the current running time of the outdoor display screen is 6 hours, and if the current time is 12 a.m., the current time is (12, 16) in a time period corresponding to the temperature obtained by weather forecast;
s2, acquiring heat generated by one display screen module in the outdoor display screen in unit time under the condition of different display brightness through a database to obtain the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen, wherein the outdoor display screen comprises n display screen modules with the same specification;
the method for obtaining the relationship between the different display brightness and the heat generation rate of each display screen module in the outdoor display screen in the S2 comprises the following steps:
S21, acquiring heat generated by one display screen module of an outdoor display screen in a database in unit time under different display brightness conditions, and recording the heat generated by the one display screen module of the outdoor display screen in the database in unit time B under the condition that the display brightness is A as RAB (random access memory) to obtain a brightness heat generation relation data pair (A, RAB/B), wherein the RAB/B represents the heat generation rate of the one display screen module of the outdoor display screen in the unit time B under the condition that the display brightness is A, and the B is a preset constant in the database, wherein A is more than or equal to 0 and less than or equal to 1;
s22, marking corresponding coordinate points in a first plane rectangular coordinate system according to the brightness heat generation relation data when A is different values, and marking corresponding coordinate points in a matlab according to a first preset function y=a1/[ 1+e -(a2*x+a3) ]+a4 fitting the marked points in the rectangular coordinate system of the first plane, and recording the function corresponding to the final fitting result as G (x), wherein a1, a2, a3 and a4 are all coefficients of a first preset function,
the first plane rectangular coordinate system is constructed with o as an origin, display brightness as an x-axis and heat generation rate as a y-axis.
S3, acquiring the variation quantity of the temperature rise in the outdoor display screen caused by the non-overflowed heat generated during the operation of the display screen in the outdoor display screen through a first lookup table in the database, and acquiring the heat dissipation rates respectively corresponding to the fans in the outdoor display screen under different temperature differences inside and outside the display screen through the database to acquire the relation between the temperature differences inside and outside the display screen and the heat dissipation rates of the fans in the outdoor display screen;
The method for obtaining the relation between the temperature difference inside and outside the display screen of the outdoor display screen fan and the heat dissipation rate in the S3 comprises the following steps:
s31, obtaining heat dissipation rates respectively corresponding to fans in an outdoor display screen in a database under different temperature differences inside and outside the display screen, wherein the heat dissipation rates are equal to the ratio of the total heat dissipation amount of the fans in unit time to the corresponding time length of the fans in unit time under the condition that the temperature difference inside and outside the display screen is unchanged;
s32, marking the heat dissipation rate corresponding to the temperature difference TC of a fan in an outdoor display screen in a database as RSTC (reactive thermal control) in the display screen to obtain a first heat dissipation data pair (TC, RSTC);
s33, a second plane rectangular coordinate system is constructed by taking o1 as an origin, taking the temperature difference between the inside and outside of the display screen as an x1 axis and taking the heat dissipation rate as a y1 axis, and corresponding coordinate points of each stain accumulation amount data pair when TC is different values are marked in the second plane rectangular coordinate system;
s34, fitting the marked points in the rectangular coordinate system of the second plane according to a linear regression equation formula, wherein the linear regression equation formula is as follows
And taking a function corresponding to the fitting result as a relation between the temperature difference inside and outside a display screen of the fan in the outdoor display screen and the heat dissipation rate, and marking as G1 (x 1).
S4, acquiring the intensity of ambient light around the outdoor display screen through a light source sensor arranged in the outdoor display screen
The variation trend in [ tk, t1] is adopted, the variation condition of the ambient light intensity around the outdoor display screen in (t 1, t 2) is predicted according to the obtained variation trend, and the first display brightness values corresponding to different time points in (t 1, t 2) are obtained by combining the standard working temperature upper limit value of the outdoor display screen prefabricated in the database;
in the embodiment, the upper limit value of the standard working temperature of the prefabricated outdoor display screen in the database is 40 ℃;
the method for predicting the change condition of the ambient light intensity around the outdoor display screen in the (t 1, t 2) according to the obtained change trend in the S4 comprises the following steps:
s41, acquiring the intensity of ambient light around the outdoor display screen at different time points in [ tk, t1] through a light source sensor arranged in the outdoor display screen, recording the intensity of ambient light around the outdoor display screen at time point t4 as HQt4, and constructing an ambient light intensity data pair (t 4, HQt 4), wherein t4 epsilon [ tk, t1];
s42, acquiring the intensity of ambient light around the outdoor display screen corresponding to each time point in the standard monitoring day stored in the historical data, wherein the time points in the standard monitoring day belong to [0,24 ] ]In matlab, y3=b2×f (x3+b3) +b4 and according to a second preset function modelFitting data pairs (BC, QBC) corresponding to each time point in the standard monitoring day, marking a value corresponding to b3 in a function corresponding to a fitting result as Wb3, μ as W mu, BC representing the time point in the standard monitoring day, and QBC representing the intensity of ambient light around the outdoor display screen at the time point BC in the standard monitoring day;
s43, calibrating the second preset function model according to Wb3 and Wmu to obtain a calibrated second preset function model y3=b2×f (x3+Wb3) +b4 andfitting each corresponding ambient light intensity data pair (t 4, HQt 4) when t4 is different according to the calibrated second preset function model in matlab, wherein the fitting result is that the intensity of ambient light around the outdoor display screen is [ tk, t1 ]]The change trend in the model is recorded as U (x 3) as a function corresponding to the fitting result;
s44, predicting the change condition of the intensity of the ambient light around the outdoor display screen in (t 1, t 2), and recording a predicted value of the intensity of the ambient light around the outdoor display screen at a time point t3 as U (t 3) when t3 epsilon (t 1, t 2);
the method for obtaining the first display brightness values corresponding to different time points in (t 1, t 2) in the S4 comprises the following steps:
S401, acquiring the variation quantity of temperature rise in an outdoor display screen caused by non-scattered heat generated during the operation of the display screen through a first lookup table in a database, and acquiring G (x), G1 (x 1) and U (t 3);
s402, acquiring the working number n2 of display screen modules in the outdoor display screen at the current time, and respectively acquiring the internal temperature T of the outdoor display screen through temperature sensors c T1 and external temperature T c1 T1, acquiring the off-screen temperature T by combining the first lookup table c T1 and the in-screen temperature is T c1 the corresponding non-overflowed heat dissipation capacity at t2 is recorded as RYt1;
s403, obtaining a first display brightness value XL1t3 corresponding to a time point t3 in (t 1, t 2), wherein the first display brightness values corresponding to different time points in (t 1, t 2) are the same;
when the first display brightness value XL1t3 corresponding to the time point t3 in the (t 1, t 2) is obtained, an LSTM neural network model is adopted, at the time point t3, the LSTM is input with three input values, namely an input value X_t3 of the network at the current time point, an output value h_t3-delta t of the LSTM at the last time point and a unit state C_t3-delta t at the last time point,
wherein X_t3 is equal to the set of the temperature Tt3 corresponding to the time point t3 in the weather forecast in (t 1, t 2) and the first display brightness value XL1t3,
h_t3-Deltat represents the predicted value of the temperature in the outdoor display screen at the time t 3-Deltat immediately before the time t3,
C_t3-Deltat represents the heat dissipation rate corresponding to the time point t3 in the weather forecast in (t 1, t 2),
the output value h _ t3 of the current moment LSTM and the cell state C _ t3 of the current moment are obtained, wherein,
h_t3＝GR1{G(XL1t3)*n2*△t-C_t3，h_t3-△t}+(h_t3-△t)
C_t3＝G1(GR1{G(XL1t3)*n2*△t，h_t3-△t}+(h_t3-△t)-X_t3)
wherein,
g (XL 1t 3) represents the rate of heat generation at which each display module in the outdoor display displays a luminance XL1t3,
GR1{ G (XL 1t 3) ×n2×Δt, h_t3- Δt } represents the amount of change in the temperature h_t3- Δt in the first lookup table in the database by which the non-dispersed heat G (XL 1t 3) ×n2×Δt generated when the display screen operates in the outdoor display screen,
GR1{ G (xl1t3) ×n2×Δt—cjt3, h_t3- Δt } represents the amount of change in the first lookup table in the database that increases the temperature in the screen h_t3- Δt by the amount of non-dispersed heat G (xl1t3) ×n2×Δt—cjt3 generated when the display screen operates in the outdoor display screen,
when t3=t1, h_t1=t c t1，C_t1＝G1(T c t1-T c1 t1)，
Obtaining the output value h_t2 of the LSTM at the time t2 of the LSTM neural network model, comparing the h_t2 with YSZ,
when h_t2 corresponding to XL1t3 is larger than or equal to YSZ and h_t2 corresponding to XL1t3+LDC is smaller than YSZ, taking XL1t3 as a first display brightness value corresponding to a time point t3 in (t 1, t 2), wherein LDC is a brightness adjustment step length of an outdoor display screen, and YSZ is a standard working temperature upper limit value of the outdoor display screen prefabricated in a database.
S5, combining the optimal display brightness values corresponding to the intensities of the ambient light around different outdoor display screens in the database to obtain second display brightness values corresponding to different time points in the (t 1, t 2);
when the second display brightness values corresponding to different time points in the time points (t 1, t 2) are obtained in the S5, a prediction result of the change condition of the intensity of the ambient light around the outdoor display screen in the time points (t 1, t 2) is obtained, a prediction value U (t 3) of the intensity of the ambient light around the outdoor display screen corresponding to the time point t3 is obtained,
obtaining the brightness of the outdoor display screen corresponding to the ambient light intensities of different outdoor display screens in a second preset form in the database, wherein each ambient light intensity of the outdoor display screen in the second preset form corresponds to one display brightness value,
and obtaining a display brightness value corresponding to U (t 3) in a second preset form, and marking the display brightness value as a second display brightness value XL2t3 corresponding to a time point t3 in the (t 1, t 2).
S6, acquiring a first display brightness value and a second display brightness value which correspond to different time points in the (t 1, t 2), obtaining operation display brightness values which correspond to different time points in the (t 1, t 2) of the outdoor display screen, and regulating, controlling and controlling the brightness of the outdoor display screen.
In the step S6, in the process of obtaining the operation display brightness values corresponding to different time points in the (t 1, t 2) of the outdoor display screen, obtaining the first display brightness value and the second display brightness value corresponding to different time points in the (t 1, t 2) respectively, recording the operation display brightness value of the outdoor display screen corresponding to the time point t3 as YLt3, wherein, YLt3 =min { xl1t3, xl2t3}, xl1t3 represents the first display brightness value corresponding to the time point t3, xl2t3 represents the second display brightness value corresponding to the time point t3,
When the brightness of the outdoor display screen is regulated and controlled, the brightness of the outdoor display screen is controlled to be YLt at the time point t3,
when the brightness of the outdoor display screen is regulated, the operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen are calibrated once every first unit time, and the first unit time is a constant preset in a database.
An intelligent device supervision system based on the internet of things, the system comprising the following modules:
the information acquisition module is used for recording the opening time of the outdoor display screen currently running as tk, recording the current time as t1, acquiring preset values t2-tk of the current running time of the outdoor display screen, acquiring temperatures corresponding to different time points in the (t 1, t 2) time period through weather forecast, recording the temperature corresponding to the time point t3 in the weather forecast as Tt3 and t3 epsilon (t 1, t2], (t 1, t 2) represents time points which are larger than t1 and smaller than or equal to t 2;
the brightness analysis module is used for obtaining heat generated by one display screen module in the outdoor display screen in unit time under the condition of different display brightness through the database to obtain the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen, and the outdoor display screen comprises n display screen modules with the same specification;
The heat dissipation information analysis module acquires the variation quantity of the temperature rise in the outdoor display screen caused by the non-overflowed heat generated during the operation of the display screen in the outdoor display screen through a first lookup table in the database, acquires the heat dissipation rates respectively corresponding to the fans in the outdoor display screen under different temperature differences inside and outside the display screen through the database, and acquires the relation between the temperature differences inside and outside the display screen and the heat dissipation rates of the fans in the outdoor display screen;
the first display brightness prediction module acquires the change trend of the intensity of ambient light around the outdoor display screen within [ tk, t1] through a light source sensor arranged in the outdoor display screen, predicts the change condition of the intensity of ambient light around the outdoor display screen within (t 1, t 2) according to the acquired change trend, and combines the prefabricated standard working temperature upper limit value of the outdoor display screen in the database to acquire first display brightness values corresponding to different time points within (t 1, t 2);
the second display brightness prediction module is combined with the optimal display brightness values corresponding to the intensities of the ambient light around different outdoor display screens in the database to obtain second display brightness values corresponding to different time points in the (t 1, t 2);
And the brightness control module acquires a first display brightness value and a second display brightness value which correspond to different time points in (t 1, t 2), obtains operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen, and regulates and controls the brightness of the outdoor display screen.
In the process of obtaining operation display brightness values corresponding to different time points in (t 1, t 2) of an outdoor display screen, obtaining a first display brightness value and a second display brightness value which correspond to different time points in (t 1, t 2) respectively, recording the operation display brightness value of the outdoor display screen corresponding to the time point t3 as YLt3, wherein YLt3 =min { XL1t3, XL2t3}, XL1t3 represents the first display brightness value corresponding to the time point t3, XL2t3 represents the second display brightness value corresponding to the time point t3, controlling the brightness of the outdoor display screen to be YLt3 when the brightness of the outdoor display screen is regulated and controlled, and calibrating the operation display brightness value corresponding to different time points in (t 1, t 2) of the outdoor display screen once every other first unit time, wherein the first unit time is a preset constant in a database.
It is noted that 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 may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An intelligent device supervision method based on the internet of things is characterized by comprising the following steps:
s1, recording the starting time of an outdoor display screen currently running as tk, recording the current time as t1, acquiring preset values t2-tk of the running duration of the outdoor display screen, acquiring temperatures corresponding to different time points in the (t 1, t 2) time period through weather forecast, recording the temperature corresponding to the time point t3 in the weather forecast as Tt3 and t3 epsilon (t 1, t2], (t 1, t 2) represents time points which are larger than t1 and smaller than or equal to t 2;
s2, acquiring heat generated by one display screen module in the outdoor display screen in unit time under the condition of different display brightness through a database to obtain the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen, wherein the outdoor display screen comprises n display screen modules with the same specification;
s3, acquiring the variation quantity of the temperature rise in the outdoor display screen caused by the non-overflowed heat generated during the operation of the display screen in the outdoor display screen through a first lookup table in the database, and acquiring the heat dissipation rates respectively corresponding to the fans in the outdoor display screen under different temperature differences inside and outside the display screen through the database to acquire the relation between the temperature differences inside and outside the display screen and the heat dissipation rates of the fans in the outdoor display screen;
S4, acquiring a change trend of the intensity of ambient light around the outdoor display screen within [ tk, t1] through a light source sensor arranged in the outdoor display screen, predicting the change condition of the intensity of ambient light around the outdoor display screen within (t 1, t 2) according to the acquired change trend, and combining the standard working temperature upper limit value of the outdoor display screen prefabricated in a database to acquire first display brightness values corresponding to different time points within (t 1, t 2);
s5, combining the optimal display brightness values corresponding to the intensities of the ambient light around different outdoor display screens in the database to obtain second display brightness values corresponding to different time points in the (t 1, t 2);
s6, acquiring a first display brightness value and a second display brightness value which correspond to different time points in the (t 1, t 2), obtaining operation display brightness values which correspond to different time points in the (t 1, t 2) of the outdoor display screen, and regulating, controlling and controlling the brightness of the outdoor display screen.
2. The intelligent device supervision method based on the internet of things according to claim 1, wherein the method comprises the following steps: the method for obtaining the relationship between the different display brightness and the heat generation rate of each display screen module in the outdoor display screen in the S2 comprises the following steps:
s21, acquiring heat generated by one display screen module of an outdoor display screen in a database in unit time under different display brightness conditions, and recording the heat generated by the one display screen module of the outdoor display screen in the database in unit time B under the condition that the display brightness is A as RAB (random access memory) to obtain a brightness heat generation relation data pair (A, RAB/B), wherein the RAB/B represents the heat generation rate of the one display screen module of the outdoor display screen in the unit time B under the condition that the display brightness is A, and the B is a preset constant in the database, wherein A is more than or equal to 0 and less than or equal to 1;
S22, marking corresponding coordinate points in a first plane rectangular coordinate system according to the brightness heat generation relation data when A is different values, and marking corresponding coordinate points in a matlab according to a first preset function y=a1/[ 1+e -(a2*x+a3) ]+a4 fitting the marked points in the rectangular coordinate system of the first plane, and recording the function corresponding to the final fitting result as G (x), wherein a1, a2, a3 and a4 are all coefficients of a first preset function,
the first plane rectangular coordinate system is constructed with o as an origin, display brightness as an x-axis and heat generation rate as a y-axis.
3. The intelligent device supervision method based on the internet of things according to claim 2, wherein the method comprises the following steps: the method for obtaining the relation between the temperature difference inside and outside the display screen of the outdoor display screen fan and the heat dissipation rate in the S3 comprises the following steps:
s31, obtaining heat dissipation rates respectively corresponding to fans in an outdoor display screen in a database under different temperature differences inside and outside the display screen, wherein the heat dissipation rates are equal to the ratio of the total heat dissipation amount of the fans in unit time to the corresponding time length of the fans in unit time under the condition that the temperature difference inside and outside the display screen is unchanged;
s32, marking the heat dissipation rate corresponding to the temperature difference TC of a fan in an outdoor display screen in a database as RSTC (reactive thermal control) in the display screen to obtain a first heat dissipation data pair (TC, RSTC);
S33, a second plane rectangular coordinate system is constructed by taking o1 as an origin, taking the temperature difference between the inside and outside of the display screen as an x1 axis and taking the heat dissipation rate as a y1 axis, and corresponding coordinate points of each stain accumulation amount data pair when TC is different values are marked in the second plane rectangular coordinate system;
s34, fitting the marked points in the rectangular coordinate system of the second plane according to a linear regression equation formula, wherein the linear regression equation formula is as follows
And taking a function corresponding to the fitting result as a relation between the temperature difference inside and outside a display screen of the fan in the outdoor display screen and the heat dissipation rate, and marking as G1 (x 1).
4. The intelligent device supervision method based on the internet of things according to claim 3, wherein the method comprises the following steps: the method for predicting the change condition of the ambient light intensity around the outdoor display screen in the (t 1, t 2) according to the obtained change trend in the S4 comprises the following steps:
s41, acquiring the intensity of ambient light around the outdoor display screen at different time points in [ tk, t1] through a light source sensor arranged in the outdoor display screen, recording the intensity of ambient light around the outdoor display screen at time point t4 as HQt4, and constructing an ambient light intensity data pair (t 4, HQt 4), wherein t4 epsilon [ tk, t1];
s42, acquiring the intensity of ambient light around the outdoor display screen corresponding to each time point in the standard monitoring day stored in the historical data, wherein the time points in the standard monitoring day belong to [0,24 ] ]In matlab, y3=b2×f (x3+b3) +b4 and according to a second preset function modelFitting data pairs (BC, QBC) corresponding to each time point in the standard monitoring day, marking a value corresponding to b3 in a function corresponding to a fitting result as Wb3, μ as W mu, BC representing the time point in the standard monitoring day, and QBC representing the intensity of ambient light around the outdoor display screen at the time point BC in the standard monitoring day;
s43, calibrating the second preset function model according to Wb3 and WmuA second calibrated preset function model y3=b2×f (x3+Wb3) +b4 is obtainedFitting each corresponding ambient light intensity data pair (t 4, HQt 4) when t4 is different according to the calibrated second preset function model in matlab, wherein the fitting result is that the intensity of ambient light around the outdoor display screen is [ tk, t1 ]]The change trend in the model is recorded as U (x 3) as a function corresponding to the fitting result;
s44, predicting the change condition of the intensity of the ambient light around the outdoor display screen in (t 1, t 2), and recording a predicted value of the intensity of the ambient light around the outdoor display screen at a time point t3 as U (t 3) when t3 epsilon (t 1, t 2);
the method for obtaining the first display brightness values corresponding to different time points in (t 1, t 2) in the S4 comprises the following steps:
S401, acquiring the variation quantity of temperature rise in an outdoor display screen caused by non-scattered heat generated during the operation of the display screen through a first lookup table in a database, and acquiring G (x), G1 (x 1) and U (t 3);
s402, acquiring the working number n2 of display screen modules in the outdoor display screen at the current time, and respectively acquiring the internal temperature T of the outdoor display screen through temperature sensors c T1 and external temperature T c1 T1, acquiring the off-screen temperature T by combining the first lookup table c T1 and the in-screen temperature is T c1 the corresponding non-overflowed heat dissipation capacity at t2 is recorded as RYt1;
s403, obtaining a first display brightness value XL1t3 corresponding to a time point t3 in (t 1, t 2), wherein the first display brightness values corresponding to different time points in (t 1, t 2) are the same;
when the first display brightness value XL1t3 corresponding to the time point t3 in the (t 1, t 2) is obtained, an LSTM neural network model is adopted, at the time point t3, the LSTM is input with three input values, namely an input value X_t3 of the network at the current time point, an output value h_t3-delta t of the LSTM at the last time point and a unit state C_t3-delta t at the last time point,
wherein X_t3 is equal to the set of the temperature Tt3 corresponding to the time point t3 in the weather forecast in (t 1, t 2) and the first display brightness value XL1t3,
h_t3-Deltat represents the predicted value of the temperature in the outdoor display screen at the time t 3-Deltat immediately before the time t3,
C_t3-Deltat represents the heat dissipation rate corresponding to the time point t3 in the weather forecast in (t 1, t 2),
the output value h _ t3 of the current moment LSTM and the cell state C _ t3 of the current moment are obtained, wherein,
h_t3＝GR1{G(XL1t3)*n2*△t-C_t3，h_t3-△t}+(h_t3-△t)
C_t3＝G1(GR1{G(XL1t3)*n2*△t，h_t3-△t}+(h_t3-△t)-X_t3)
wherein,
g (XL 1t 3) represents the rate of heat generation at which each display module in the outdoor display displays a luminance XL1t3,
GR1{ G (XL 1t 3) ×n2×Δt, h_t3- Δt } represents the amount of change in the temperature h_t3- Δt in the first lookup table in the database by which the non-dispersed heat G (XL 1t 3) ×n2×Δt generated when the display screen operates in the outdoor display screen,
GR1{ G (xl1t3) ×n2×Δt—cjt3, h_t3- Δt } represents the amount of change in the first lookup table in the database that increases the temperature in the screen h_t3- Δt by the amount of non-dispersed heat G (xl1t3) ×n2×Δt—cjt3 generated when the display screen operates in the outdoor display screen,
when t3=t1, h_t1=t c t1，C_t1＝G1(T c t1-T c1 t1)，
Obtaining the output value h_t2 of the LSTM at the time t2 of the LSTM neural network model, comparing the h_t2 with YSZ,
when h_t2 corresponding to XL1t3 is larger than or equal to YSZ and h_t2 corresponding to XL1t3+LDC is smaller than YSZ, taking XL1t3 as a first display brightness value corresponding to a time point t3 in (t 1, t 2), wherein LDC is a brightness adjustment step length of an outdoor display screen, and YSZ is a standard working temperature upper limit value of the outdoor display screen prefabricated in a database.
5. The intelligent device supervision method based on the internet of things according to claim 4, wherein the method comprises the following steps: when the second display brightness values corresponding to different time points in the time points (t 1, t 2) are obtained in the S5, a prediction result of the change condition of the intensity of the ambient light around the outdoor display screen in the time points (t 1, t 2) is obtained, a prediction value U (t 3) of the intensity of the ambient light around the outdoor display screen corresponding to the time point t3 is obtained,
obtaining the brightness of the outdoor display screen corresponding to the ambient light intensities of different outdoor display screens in a second preset form in the database, wherein each ambient light intensity of the outdoor display screen in the second preset form corresponds to one display brightness value,
and obtaining a display brightness value corresponding to U (t 3) in a second preset form, and marking the display brightness value as a second display brightness value XL2t3 corresponding to a time point t3 in the (t 1, t 2).
6. The intelligent device supervision method based on the internet of things according to claim 1, wherein the method comprises the following steps: in the step S6, in the process of obtaining the operation display brightness values corresponding to different time points in the (t 1, t 2) of the outdoor display screen, obtaining the first display brightness value and the second display brightness value corresponding to different time points in the (t 1, t 2) respectively, recording the operation display brightness value of the outdoor display screen corresponding to the time point t3 as YLt3, wherein, YLt3 =min { xl1t3, xl2t3}, xl1t3 represents the first display brightness value corresponding to the time point t3, xl2t3 represents the second display brightness value corresponding to the time point t3,
When the brightness of the outdoor display screen is regulated and controlled, the brightness of the outdoor display screen is controlled to be YLt at the time point t3,
when the brightness of the outdoor display screen is regulated, the operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen are calibrated once every first unit time, and the first unit time is a constant preset in a database.
7. An intelligent device supervision system based on the internet of things is characterized by comprising the following modules:
the information acquisition module is used for recording the opening time of the outdoor display screen currently running as tk, recording the current time as t1, acquiring preset values t2-tk of the current running time of the outdoor display screen, acquiring temperatures corresponding to different time points in the (t 1, t 2) time period through weather forecast, recording the temperature corresponding to the time point t3 in the weather forecast as Tt3 and t3 epsilon (t 1, t2], (t 1, t 2) represents time points which are larger than t1 and smaller than or equal to t 2;
the brightness analysis module is used for obtaining heat generated by one display screen module in the outdoor display screen in unit time under the condition of different display brightness through the database to obtain the relation between different display brightness and heat generation rate of each display screen module in the outdoor display screen, and the outdoor display screen comprises n display screen modules with the same specification;
The heat dissipation information analysis module acquires the variation quantity of the temperature rise in the outdoor display screen caused by the non-overflowed heat generated during the operation of the display screen in the outdoor display screen through a first lookup table in the database, acquires the heat dissipation rates respectively corresponding to the fans in the outdoor display screen under different temperature differences inside and outside the display screen through the database, and acquires the relation between the temperature differences inside and outside the display screen and the heat dissipation rates of the fans in the outdoor display screen;
the first display brightness prediction module acquires the change trend of the intensity of ambient light around the outdoor display screen within [ tk, t1] through a light source sensor arranged in the outdoor display screen, predicts the change condition of the intensity of ambient light around the outdoor display screen within (t 1, t 2) according to the acquired change trend, and combines the prefabricated standard working temperature upper limit value of the outdoor display screen in the database to acquire first display brightness values corresponding to different time points within (t 1, t 2);
the second display brightness prediction module is combined with the optimal display brightness values corresponding to the intensities of the ambient light around different outdoor display screens in the database to obtain second display brightness values corresponding to different time points in the (t 1, t 2);
And the brightness control module acquires a first display brightness value and a second display brightness value which correspond to different time points in (t 1, t 2), obtains operation display brightness values corresponding to different time points in (t 1, t 2) of the outdoor display screen, and regulates and controls the brightness of the outdoor display screen.
8. The intelligent device supervisory system based on the internet of things according to claim 7, wherein: in the process of obtaining operation display brightness values corresponding to different time points in (t 1, t 2) of an outdoor display screen, obtaining a first display brightness value and a second display brightness value which correspond to different time points in (t 1, t 2) respectively, recording the operation display brightness value of the outdoor display screen corresponding to the time point t3 as YLt3, wherein YLt3 =min { XL1t3, XL2t3}, XL1t3 represents the first display brightness value corresponding to the time point t3, XL2t3 represents the second display brightness value corresponding to the time point t3, controlling the brightness of the outdoor display screen to be YLt3 when the brightness of the outdoor display screen is regulated and controlled, and calibrating the operation display brightness value corresponding to different time points in (t 1, t 2) of the outdoor display screen once every other first unit time, wherein the first unit time is a preset constant in a database.
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