CN117307009B

CN117307009B - Intelligent control system and method for electric roller shutter type hollow sunshade door with sensing feedback

Info

Publication number: CN117307009B
Application number: CN202311600006.8A
Authority: CN
Inventors: 邓扬礼; 徐海生
Original assignee: Hanlion Optical Technology Guangdong Co ltd
Current assignee: Hanlion Optical Technology Guangdong Co ltd
Priority date: 2023-11-28
Filing date: 2023-11-28
Publication date: 2024-02-02
Anticipated expiration: 2043-11-28
Also published as: CN117307009A

Abstract

The invention relates to the technical field of rolling shutter door control, and discloses an intelligent control system of an electric rolling shutter type hollow sunshade door with sensing feedback, which comprises a first data acquisition module, a second data acquisition module and a control module, wherein the first data acquisition module is used for acquiring initial opening and closing degree of a door curtain and acquiring predicted heat radiation coefficients of an outdoor light-facing area and an indoor backlight area; the comparison judging module is used for determining whether the outdoor environment at the moment T+N belongs to a high-temperature state or not and acquiring a comparison result; the second data acquisition module is used for calling door curtain control characteristic data, inputting the door curtain control characteristic data into a pre-constructed door curtain opening and closing control model, and obtaining the door curtain demand opening and closing degree; the opening and closing control module is used for calculating the initial opening and closing degree difference value of the door curtain and the door curtain demand opening and closing degree, taking the door curtain demand opening and closing degree difference value and the door curtain initial opening and closing degree difference value as a door curtain opening regulating value, and controlling the hollow sunshade door to ascend or descend according to the door curtain opening regulating value; the invention is beneficial to automatically adjusting the opening and closing degree of the door curtain according to the outdoor environment change.

Description

Intelligent control system and method for electric roller shutter type hollow sunshade door with sensing feedback

Technical Field

The invention relates to the technical field of rolling door control, in particular to an intelligent control system and method for an electric rolling type hollow sunshade door with sensing feedback.

Background

With the continuous progress of technology and the continuous improvement of life quality of people, hollow sun-shading doors have become common elements in modern buildings; these hollow sun-shading doors are intended to provide sun-shading, heat-insulating, sound-insulating, sun-screening, etc. functions to improve the comfort of the indoor environment; however, the conventional electric roller shutter type hollow sunshade door generally lacks active adaptability, and the opening and closing degree of the door curtain cannot be actively adjusted according to the change of the outdoor environment; this means that under different weather conditions, such as high sunlight and high temperature, the user needs to manually intervene to adjust the opening and closing of the door curtain, so as to achieve the optimal comfort level of the indoor environment; secondly, since the opening and closing of the curtains are usually determined by time setting or manual operation, they cannot be adjusted in real time according to the change of the sun illumination intensity, which may cause the change of the indoor caused by the exposure to excessive sunlight (such as floor chapping, etc.), and influence the indoor comfort, which further weakens the practical value of the hollow sunshade door in modern buildings; therefore, how to optimize the control intelligence of the electric roller shutter type hollow sunshade door so as to realize the automatic shielding of outdoor illumination and heat radiation becomes a problem to be solved.

At present, although there are some related technical patents in lack of an intelligent control system for an electric roller shutter type hollow sunshade door, for example, chinese patent with publication number CN106968588B discloses a fast roller shutter type door control system, for example, chinese patent with publication number CN114598193a discloses a lifting control method, device, driving controller and roller shutter type door for a roller shutter type door, and although the method can realize intelligent lifting control for a roller shutter type door, research and practical application of the method and the prior art find that at least the following part of defects exist in the method and the prior art:

(1) The intelligent degree is low, the opening and closing degree of the door curtain cannot be automatically adjusted according to the outdoor environment change, the anti-exposure and sun-screening effects are poor, indoor damage caused by excessive sunlight exposure is difficult to avoid, and indoor thermal comfort is difficult to effectively improve;

(2) The control hysteresis is of a certain degree, and erroneous judgment is easy to occur, so that the phenomenon that the door curtain rises or falls mistakenly is easy to occur.

Disclosure of Invention

In order to overcome the defects in the prior art, the embodiment of the invention provides an intelligent control system and an intelligent control method for an electric roller shutter type hollow sunshade door with sensing feedback.

In order to achieve the above purpose, the present invention provides the following technical solutions:

sensing feedback's electronic roller shutter formula cavity sun-shading door intelligent control system, the system includes:

the first data acquisition module is used for acquiring the initial opening and closing degree of a door curtain of the hollow sunshade door at the time T, and acquiring the predicted heat radiation coefficients of an outdoor light-receiving area and an indoor backlight area at the time T+N according to a pre-constructed heat radiation coefficient regression model, wherein the outdoor light-receiving area is obtained according to the mirror image of the indoor backlight area, and T, N is a positive integer larger than zero;

the comparison judging module is used for determining whether the outdoor space is in a high-temperature state or not at the moment T+N according to the predicted heat radiation coefficient of the outdoor light-receiving area, if not, enabling T=T+N+M, and triggering the first data acquisition module; if the indoor backlight area belongs to a high-temperature state, comparing the predicted heat radiation coefficient of the indoor backlight area with a preset heat radiation standard coefficient interval to obtain a comparison result, wherein the comparison result comprises a first comparison result, a second comparison result and a third comparison result;

the second data acquisition module is used for calling door curtain control characteristic data according to a second comparison result or a third comparison result, inputting the door curtain control characteristic data into a pre-constructed door curtain opening and closing control model, and obtaining the door curtain demand opening and closing degree;

The opening and closing control module is used for calculating the initial opening and closing degree difference value of the door curtain and the door curtain demand opening and closing degree, taking the door curtain demand opening and closing degree difference value and the door curtain initial opening and closing degree difference value as a door curtain opening regulating value, and controlling the hollow sunshade door to ascend or descend according to the door curtain opening regulating value.

Further, the obtaining the initial opening and closing degree of the door curtain of the hollow sunshade door includes:

obtaining the ground clearance of the hollow sunshade door under the complete opening degree, and obtaining the ground clearance of the hollow sunshade door under the moment T by using a laser ranging sensor;

taking the ground clearance at the full opening degree as a first ground clearance and taking the ground clearance at the T moment as a second ground clearance;

and calculating a difference value between the first ground clearance and the second ground clearance, and taking the difference value between the first ground clearance and the second ground clearance as the initial opening and closing degree of the door curtain.

Further, the generating logic of the indoor backlight area is as follows:

under the condition that the hollow sunshade door is completely opened, acquiring indoor images of a space for installing the hollow sunshade door at each moment in a day to obtain Q indoor images, wherein Q is a positive integer larger than zero;

carrying out pixel point distinction on each indoor image by using a K-means clustering algorithm so as to obtain a virtual illumination area and a virtual shadow area in each indoor image;

Overlapping the virtual illumination areas in each indoor image to obtain a virtual backlight area, converting the virtual backlight area according to a preset proportionality coefficient to obtain an actual backlight area, and taking the actual backlight area as an indoor backlight area.

Further, the pre-constructed thermal emissivity regression model comprises a first thermal emissivity regression model for predicting an outdoor light-receiving area and a second thermal emissivity regression model for predicting an indoor backlight area.

Further, the obtaining the predicted heat radiation coefficients of the outdoor light-receiving area and the indoor backlight area at the time t+n includes:

acquiring first heat radiation characteristic data and acquiring second heat radiation characteristic data;

inputting the first heat radiation characteristic data into a first heat radiation coefficient regression model to obtain a predicted heat radiation coefficient of an outdoor light-receiving area;

and inputting the second heat radiation characteristic data into a second heat radiation coefficient regression model to obtain the predicted heat radiation coefficient of the indoor backlight area.

Further, the first heat radiation coefficient regression model is obtained based on training a first historical heat radiation sample set, wherein the first historical heat radiation sample set comprises first heat radiation characteristic data and heat radiation coefficients of corresponding outdoor light-facing areas; the second heat radiation coefficient regression model is obtained based on training a second historical heat radiation sample set, and the second historical heat radiation sample set comprises second heat radiation characteristic data and heat radiation coefficients of corresponding indoor backlight areas; wherein,

The logic for acquiring the heat radiation coefficient of the outdoor light-receiving area is as follows:

dividing the outdoor light-receiving area in equal parts to obtain R subdivision areas;

acquiring a temperature value, a humidity value and an illumination value of each subdivision region; carrying out formulated calculation according to the temperature value, the humidity value and the illumination value to obtain the heat radiation coefficient of the outdoor light-receiving area; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Heat radiation coefficient indicating outdoor light-facing area, < ->Indicate->Temperature value of individual subdivision region, +.>Indicate->The humidity value of the individual sub-divided areas,indicate->Illumination value of individual subdivision regions, +.>、/>And->Correction factor greater than zero, +.>。

Further, the determining whether the outdoor room is in a high temperature state at the time t+n includes:

comparing the predicted heat radiation coefficient of the outdoor light-receiving area with a preset heat radiation high-temperature coefficient interval,

if the predicted heat radiation coefficient of the outdoor light-receiving area belongs to a preset heat radiation high-temperature coefficient interval, judging that the outdoor air is in a high-temperature state at the moment T+N;

if the predicted heat radiation coefficient of the outdoor light-receiving area does not belong to the preset heat radiation high-temperature coefficient interval, judging that the outdoor is not in a high-temperature state at the moment T+N.

Further, the comparing the predicted heat radiation coefficient of the indoor backlight area with a preset heat radiation standard coefficient interval includes:

If the predicted heat radiation coefficient of the indoor backlight area belongs to the heat radiation standard coefficient interval, displaying a character of 'normal room temperature', taking the character of 'normal room temperature' as a first comparison result, and triggering a first data acquisition module by enabling T=T+N+M, wherein M is a positive integer greater than zero;

if the predicted heat radiation coefficient of the indoor backlight area is larger than the maximum value of the heat radiation standard coefficient interval, displaying a character with overhigh room temperature, and taking the character with overhigh room temperature as a third comparison result;

and if the predicted heat radiation coefficient of the indoor backlight area is smaller than the minimum value of the heat radiation standard coefficient interval, displaying a word with the excessively low room temperature, and taking the word with the excessively low room temperature as a second comparison result.

Further, the generation logic of the pre-constructed door curtain opening and closing control model is as follows:

the method comprises the steps of obtaining a door curtain opening and closing sample set, and dividing the door curtain opening and closing sample set into a door curtain opening and closing training set and a door curtain opening and closing test set, wherein the door curtain opening and closing sample set comprises door curtain control characteristic data and corresponding door curtain demand opening and closing degrees, and the door curtain control characteristic data comprises a predicted thermal radiation coefficient of an outdoor light-receiving area and a predicted thermal radiation coefficient of an indoor backlight area;

Constructing a third regression network, taking door curtain control characteristic data of a door curtain opening and closing training set as input of the third regression network, taking door curtain demand opening and closing degree in the door curtain control characteristic data as output of the third regression network, and training the third regression network to obtain an initial door curtain opening and closing control regression network;

and carrying out model verification on the initial curtain opening and closing control regression network by using the curtain opening and closing test set, and outputting the initial curtain opening and closing control regression network with the accuracy greater than or equal to a preset third test accuracy as a curtain opening and closing control model.

The intelligent control method of the electric roller shutter type hollow sunshade door based on the sensing feedback is realized on the basis of the intelligent control system of the electric roller shutter type hollow sunshade door with the sensing feedback, and the method comprises the following steps:

step 1: acquiring the initial opening and closing degree of a door curtain of the hollow sunshade door at the T moment, and acquiring the predicted heat radiation coefficients of an outdoor light-receiving area and an indoor backlight area at the T+N moment according to a pre-constructed heat radiation coefficient regression model, wherein the outdoor light-receiving area is obtained according to the mirror image of the indoor backlight area, and T, N is a positive integer larger than zero;

step 2: determining whether the outdoor space is in a high-temperature state at the moment T+N according to the predicted heat radiation coefficient of the outdoor space light-receiving area, if not, enabling T=T+N+M, and returning to the step 1; if the indoor backlight area belongs to a high-temperature state, comparing the predicted heat radiation coefficient of the indoor backlight area with a preset heat radiation standard coefficient interval to obtain a comparison result, wherein the comparison result comprises a first comparison result, a second comparison result and a third comparison result;

Step 3: according to the second comparison result or the third comparison result, door curtain control characteristic data are called, and the door curtain control characteristic data are input into a pre-constructed door curtain opening and closing control model to obtain door curtain demand opening and closing degree;

step 4: calculating the initial opening and closing degree difference value of the door curtain and the door curtain demand opening and closing degree, taking the door curtain demand opening and closing degree difference value and the door curtain initial opening and closing degree difference value as a door curtain opening regulating value, and controlling the hollow sunshade door to ascend or descend according to the door curtain opening regulating value.

An electronic device comprises a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor realizes the intelligent control method of the electric roller shutter type hollow sunshade door with the sensing feedback when executing the computer program.

A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program is executed to realize the intelligent control method of the electric roller shutter type hollow sunshade door with the sensing feedback.

Compared with the prior art, the invention has the beneficial effects that:

the application discloses an intelligent control system and method for an electric roller shutter type hollow sunshade door with sensing feedback, wherein the intelligent control system comprises a first data acquisition module, a second data acquisition module and a control module, wherein the first data acquisition module is used for acquiring initial opening and closing degree of a door curtain and acquiring predicted heat radiation coefficients of an outdoor light-receiving area and an indoor backlight area; the comparison judging module is used for determining whether the outdoor environment at the moment T+N belongs to a high-temperature state or not and acquiring a comparison result; the second data acquisition module is used for calling door curtain control characteristic data, inputting the door curtain control characteristic data into a pre-constructed door curtain opening and closing control model, and obtaining the door curtain demand opening and closing degree; the opening and closing control module is used for calculating the initial opening and closing degree difference value of the door curtain and the door curtain demand opening and closing degree, taking the door curtain demand opening and closing degree difference value and the door curtain initial opening and closing degree difference value as a door curtain opening regulating value, and controlling the hollow sunshade door to ascend or descend according to the door curtain opening regulating value; based on the module, the door curtain opening and closing degree can be automatically adjusted according to the outdoor environment change, the damage to the indoor space caused by excessive sunlight exposure can be avoided, the indoor thermal comfort can be effectively improved, the intelligent degree is high, and the door curtain opening and closing device has a certain exposure prevention and sun protection function and control timeliness; in addition, through designing multi-layer judgment, the invention can avoid the generation of erroneous judgment, thereby being beneficial to avoiding the phenomenon of mistaken rising or mistaken falling of the door curtain.

Drawings

FIG. 1 is a schematic diagram of an intelligent control system of an electric roller shutter type hollow sunshade door with sensing feedback provided by the invention;

FIG. 2 is a flow chart of an intelligent control method of the electric roller shutter type hollow sunshade door with sensing feedback provided by the invention;

FIG. 3 is a schematic view showing the elevation of a hollow sunshade door according to the present invention;

fig. 4 is a schematic structural diagram of an electronic device according to the present invention;

fig. 5 is a schematic structural diagram of a computer readable storage medium according to the present invention.

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.

Example 1

Referring to fig. 2, the embodiment discloses an intelligent control method for an electric roller shutter type hollow sunshade door, which provides sensing feedback, and the method comprises the following steps:

It should be appreciated that: the hollow sunshade door is particularly an electric roller shutter type hollow sunshade door, and at least comprises a frame structure, an electric roller shutter, a driving system, a control system, accessories, options and the like, wherein the accessories and the options comprise, but are not limited to, a sensor, a timer, a manual standby device (used for a user to manually open or close the door) and the like; including, but not limited to, laser ranging sensors, temperature sensors, humidity sensors, illumination sensors, cameras, and the like;

in an implementation, obtaining an initial opening and closing degree of a door curtain of the hollow sunshade door comprises:

it should be noted that: the laser ranging sensor is embedded in the bottom of the hollow sunshade door; as shown in fig. 3, K1 is a beam (the beam includes a driving system) of the electric roller shutter type hollow sunshade door, K2 is the electric roller shutter type hollow sunshade door, and K3 is a laser ranging sensor; it should be noted that the laser ranging sensor is mounted in-line, and thus, K3 in fig. 3 is only schematically patterned for easy understanding; h1 is the ground clearance of the hollow sunshade door under the full opening degree, namely the distance from the bottom of K1 to the ground, the ground clearance of the hollow sunshade door under the full opening degree is pre-stored in a system database, and H2 is the ground clearance of the hollow sunshade door under the T moment, namely the distance from the bottom of K2 to the ground, which is measured by a laser ranging sensor;

calculating a difference value between the first ground clearance and the second ground clearance, and taking the difference value between the first ground clearance and the second ground clearance as the initial opening and closing degree of the door curtain;

in an implementation, the generating logic of the indoor backlight area is as follows:

it should be appreciated that: the space for installing the hollow sunshade door refers to any installed building, such as residential houses, commercial buildings and the like; in addition, it should be noted that indoor image acquisition at each moment in a day should be selected to be performed in sunny weather with sufficient illumination;

overlapping the virtual illumination areas in each indoor image to obtain a virtual backlight area, converting the virtual backlight area according to a preset proportionality coefficient to obtain an actual backlight area, and taking the actual backlight area as an indoor backlight area;

It should be noted that: the indoor image is an image of an indoor area positioned on the back of the hollow sunshade door, the outdoor light-receiving area is obtained by mirroring the indoor backlight area according to the indoor backlight area, the hollow sunshade door is used as a symmetry axis to mirror the indoor backlight area, and the area formed by mirroring is used as the outdoor light-receiving area;

the above is exemplified by: as shown in fig. 3 (a lifting schematic diagram of the hollow sunshade door), a region B in fig. 3 is an indoor backlight region, a region a in fig. 3 is an outdoor light-receiving region, a region B is mirrored by using K2 as a symmetry axis to obtain a region a, the region a is located outside a space for installing the hollow sunshade door, and the region B is located inside the space for installing the hollow sunshade door;

specifically, the pre-constructed thermal radiation coefficient regression model comprises a first thermal radiation coefficient regression model for predicting an outdoor light-receiving area and a second thermal radiation coefficient regression model for predicting an indoor backlight area;

in an implementation, obtaining predicted heat radiation coefficients of an outdoor light-receiving area and an indoor backlight area at a time t+n includes:

inputting the second heat radiation characteristic data into a second heat radiation coefficient regression model to obtain a predicted heat radiation coefficient of the indoor backlight area;

specifically, the generation logic of the first thermal emissivity regression model is as follows:

the method comprises the steps of obtaining a first historical heat radiation sample set, and dividing the first historical heat radiation sample set into a first heat radiation training set and a first heat radiation test set, wherein the first historical heat radiation sample set comprises first heat radiation characteristic data and a heat radiation coefficient of a corresponding outdoor light-receiving area, and the first heat radiation characteristic data comprises seasons, weather, time T, temperature of the outdoor light-receiving area under the time T, humidity of the outdoor light-receiving area under the time T and illumination intensity of the outdoor light-receiving area under the time T;

constructing a first regression network, taking first heat radiation characteristic data in a first heat radiation training set as input of the first regression network, taking a first predicted heat radiation coefficient in the first heat radiation training set as output of the first regression network, and training the first regression network to obtain a first heat radiation coefficient regression network;

Performing model verification on a first thermal radiation coefficient regression network by using a first thermal radiation test set, and outputting the first thermal radiation coefficient regression network with the accuracy larger than or equal to a preset first test as a first thermal radiation coefficient regression model;

specifically, the generating logic of the second thermal emissivity regression model is as follows:

obtaining a second historical heat radiation sample set, and dividing the second historical heat radiation sample set into a second heat radiation training set and a second heat radiation test set, wherein the second historical heat radiation sample set comprises second heat radiation characteristic data and corresponding heat radiation coefficients of indoor backlight areas, and the second heat radiation characteristic data comprises seasons, weather, time T, temperature of the indoor backlight areas under the time T, humidity of the indoor backlight areas under the time T and illumination intensity of the indoor backlight areas under the time T;

constructing a second regression network, taking second heat radiation characteristic data in a second heat radiation training set as input of the second regression network, taking a second predicted heat radiation coefficient in the second heat radiation training set as output of the second regression network, and training the second regression network to obtain a second heat radiation coefficient regression network;

Performing model verification on a second thermal radiation coefficient regression network by using a second thermal radiation test set, and outputting the second thermal radiation coefficient regression network with the accuracy larger than or equal to the preset second test as a second thermal radiation coefficient regression model;

it should be noted that: the seasons are divided into spring, summer, autumn and winter, and the weather is divided into rainy days, sunny days, cloudy days, snowy days and foggy days; the first regression network and the second regression network are specific one of algorithms such as logistic regression, support vector machine regression, random forest regression, neural network regression and the like;

acquiring a temperature value, a humidity value and an illumination value of each subdivision region; according to the temperature value, the humidity value and the illumination valueCarrying out formulated calculation to obtain the heat radiation coefficient of the outdoor light-receiving area; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Heat radiation coefficient indicating outdoor light-facing area, < ->Indicate->Temperature value of individual subdivision region, +.>Indicate->The humidity value of the individual sub-divided areas,indicate->Illumination value of individual subdivision regions, +. >、/>And->Correction factor greater than zero, +.>；

It should be noted that: the logic for acquiring the heat radiation coefficient of the indoor backlight area is the same as that of the outdoor light-receiving area, and details refer to the logic for acquiring the heat radiation coefficient of the outdoor light-receiving area, so that redundant description is omitted;

in an implementation, determining whether the outdoor environment is in a high temperature state at time t+n includes:

if the predicted heat radiation coefficient of the outdoor light-receiving area does not belong to a preset heat radiation high-temperature coefficient interval, judging that the outdoor is not in a high-temperature state at the moment T+N;

It should be appreciated that: by determining whether the outdoor temperature is in a high-temperature state at the time of T+N, the phenomenon of system misjudgment and system misoperation caused by directly acquiring the comparison result is avoided; the exemplary explanation is that, assuming that the outdoor temperature is 10 ℃ in winter, and the indoor temperature is 30 ℃ because the air conditioner is started, further assuming that the indoor temperature is 30 ℃ and exceeds the preset heat radiation standard coefficient interval, if it is uncertain whether the outdoor temperature is in a high-temperature state at the time of T+N, the system can determine that the indoor temperature is too high because of high-temperature insolation, and then misjudgment is generated by the system, so that misoperation is generated, and the central sunshade door is subjected to wrong lifting operation;

in an implementation, comparing the predicted thermal emissivity of the indoor backlight area with a preset thermal emissivity standard coefficient interval includes:

if the predicted heat radiation coefficient of the indoor backlight area is in the heat radiation standard coefficient interval, displaying a character of 'normal room temperature', taking the character of 'normal room temperature' as a first comparison result, and returning T=T+N+M to the step 1, wherein M is a positive integer greater than zero;

If the predicted heat radiation coefficient of the indoor backlight area is smaller than the minimum value of the heat radiation standard coefficient interval, displaying a character pattern with the excessively low room temperature, and taking the character pattern with the excessively low room temperature as a second comparison result;

specifically, the logic for generating the pre-constructed door curtain opening and closing control model is as follows:

Performing model verification on an initial curtain opening and closing control regression network by using a curtain opening and closing test set, and outputting the initial curtain opening and closing control regression network with the accuracy greater than or equal to a preset third test accuracy as a curtain opening and closing control model;

it should be noted that: the third regression network includes, but is not limited to, a specific one of algorithms such as logistic regression, support vector machine regression, random forest regression, neural network regression, etc.;

step 4: calculating an initial opening and closing degree difference value of the door curtain and a door curtain demand opening and closing degree, taking the door curtain demand opening and closing degree difference value and the door curtain initial opening and closing degree difference value as a door curtain opening regulating value, and controlling the hollow sunshade door to ascend or descend according to the door curtain opening regulating value;

an exemplary illustration is: if the comparison result is the second comparison result, the condition that the room temperature is too low is indicated, and the hollow sunshade door is controlled to ascend so as to improve indoor illumination; therefore, the door curtain control characteristic data is called according to the second comparison result, and the door curtain control characteristic data is input into a pre-constructed door curtain opening and closing control model to obtain the door curtain demand opening and closing degree; further, assuming that the initial opening and closing degree of the door curtain is 5 meters and the required opening and closing degree of the door curtain is 3 meters, the door curtain opening regulating value is +2 meters by calculating the door curtain initial opening and closing degree difference value and the door curtain required opening and closing degree, and therefore the hollow sunshade door is controlled to rise by 2 meters according to the door curtain opening regulating value at the moment; similarly, if the comparison result is the third comparison result, the condition that the room temperature is too high is indicated, and the hollow sunshade door should be controlled to descend so as to reduce indoor illumination; therefore, the door curtain control characteristic data is called according to the third comparison result, and is input into a pre-constructed door curtain opening and closing control model to obtain the door curtain demand opening and closing degree; further, assuming that the initial opening and closing degree of the door curtain is 5 meters and the required opening and closing degree of the door curtain is 7 meters, the door curtain opening and closing degree regulating value is-2 meters by calculating the door curtain initial opening and closing degree difference value and the door curtain required opening and closing degree, and therefore, the hollow sunshade door should be controlled to descend by 2 meters according to the door curtain opening and closing degree regulating value.

Example 2

Referring to fig. 1, based on the same inventive concept, according to the above embodiment 1, the present embodiment discloses an intelligent control system for an electric roller shutter type hollow sunshade door, which provides sensing feedback, and the system includes:

the first data obtaining module 210 is configured to obtain, at a time T, an initial opening degree of a door curtain of the hollow sunshade door, and obtain, according to a pre-constructed thermal radiation coefficient regression model, a predicted thermal radiation coefficient of an outdoor light-receiving area and an indoor backlight area at a time t+n, where the outdoor light-receiving area is obtained according to an indoor backlight area by mirroring, and T, N is a positive integer greater than zero;

The above is exemplified by: as shown in fig. 3, a region B in fig. 3 is an indoor backlight region, a region a in fig. 3 is an outdoor light-receiving region, a region B is mirrored by using K2 as a symmetry axis to obtain a region a, the region a is located outside a space for installing a hollow sunshade door, and the region B is located inside the space for installing the hollow sunshade door;

acquiring a temperature value, a humidity value and an illumination value of each subdivision region; carrying out formulated calculation according to the temperature value, the humidity value and the illumination value to obtain the heat radiation coefficient of the outdoor light-receiving area; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Heat radiation coefficient indicating outdoor light-facing area, < ->Indicate->Temperature value of individual subdivision region, +.>Indicate->The humidity value of the individual sub-divided areas,indicate->Illumination value of individual subdivision regions, +.>、/>And->Correction factor greater than zero, +.>；

the comparison and judgment module 220 is configured to determine whether the outdoor environment is in a high temperature state at a time t+n according to the predicted heat radiation coefficient of the outdoor light-receiving area, if not, let t=t+n+m, and trigger the first data acquisition module 210; if the indoor backlight area belongs to a high-temperature state, comparing the predicted heat radiation coefficient of the indoor backlight area with a preset heat radiation standard coefficient interval to obtain a comparison result, wherein the comparison result comprises a first comparison result, a second comparison result and a third comparison result;

if the predicted heat radiation coefficient of the indoor backlight area belongs to the heat radiation standard coefficient interval, displaying a word of 'normal room temperature', taking the word of 'normal room temperature' as a first comparison result, and triggering a first data acquisition module 210 by enabling T=T+N+M, wherein M is a positive integer greater than zero;

the second data obtaining module 230 is configured to retrieve door curtain control feature data according to a second comparison result or a third comparison result, and input the door curtain control feature data into a pre-constructed door curtain opening and closing control model to obtain a door curtain required opening and closing degree;

The opening and closing control module 240 is configured to calculate an initial opening and closing degree difference value of the door curtain and a door curtain required opening and closing degree, and control the hollow sunshade door to rise or fall according to the door curtain opening and closing degree regulation value by using the door curtain required opening and closing degree and the door curtain initial opening and closing degree difference value as a door curtain opening regulation value;

Example 3

Referring to fig. 4, the disclosure of the present embodiment provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the above-mentioned intelligent control method for the sensor-fed electric roller shutter type hollow sunshade door when executing the computer program.

Since the electronic device described in this embodiment is an electronic device used to implement the intelligent control method of the electric roller shutter type hollow sunshade door with sensing feedback in this embodiment, based on the intelligent control method of the electric roller shutter type hollow sunshade door with sensing feedback described in this embodiment, those skilled in the art can understand the specific implementation manner of the electronic device and various variations thereof, so how to implement the method in this embodiment of the application for this electronic device will not be described in detail herein. As long as the person skilled in the art implements the electronic equipment adopted by the intelligent control method of the electric roller shutter type hollow sunshade door with sensing feedback in the embodiment of the application, the electronic equipment belongs to the scope of protection required by the application.

Example 4

Referring to fig. 5, a computer readable storage medium stores a computer program, which when executed by a processor, implements the above-mentioned intelligent control method for a sensor-fed electric roller shutter type hollow sunshade door.

The above formulas are all formulas with dimensionality removed and numerical value calculated, the formulas are formulas with the latest real situation obtained by software simulation by collecting a large amount of data, and preset parameters, weights and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center over a wired network or a wireless network. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely one, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims

1. Sensing feedback's electronic roller shutter formula cavity sun-shading door intelligent control system, its characterized in that, the system includes:

the initial degree of opening and shutting of door curtain of acquireing cavity sun-shading door includes:

2. The sensory feedback intelligent control system of an electric roller shutter type hollow sunshade door according to claim 1, wherein the generating logic of the indoor backlight area is as follows:

3. The sensory feedback intelligent control system of an electric roller shutter type hollow sunshade door according to claim 2, wherein the pre-constructed thermal emissivity regression model comprises a predicted thermal emissivity first thermal emissivity regression model for predicting an outdoor light-receiving area and a predicted thermal emissivity second thermal emissivity regression model for predicting an indoor backlight area.

4. The intelligent control system for the sensor-fed electric roller shutter type hollow sunshade door according to claim 3, wherein the obtaining of the predicted heat radiation coefficients of the outdoor light-receiving area and the indoor backlight area at the time t+n comprises:

5. The intelligent control system of the sensor-fed electric roller shutter type hollow sunshade door according to claim 4, wherein the first heat radiation coefficient regression model is obtained based on training of a first historical heat radiation sample set, and the first historical heat radiation sample set comprises first heat radiation characteristic data and heat radiation coefficients of corresponding outdoor light-receiving areas; the second heat radiation coefficient regression model is obtained based on training a second historical heat radiation sample set, and the second historical heat radiation sample set comprises second heat radiation characteristic data and heat radiation coefficients of corresponding indoor backlight areas; wherein,

acquiring a temperature value, a humidity value and an illumination value of each subdivision region; carrying out formulated calculation according to the temperature value, the humidity value and the illumination value to obtain the heat radiation coefficient of the outdoor light-receiving area; the calculation formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Heat radiation coefficient indicating outdoor light-facing area, < ->Indicate->Temperature value of individual subdivision region, +.>Indicate->Humidity value of individual subdivision region, +.>Indicate->Illumination value of individual subdivision regions, +.>、/>And->Correction factor greater than zero, +.>。

6. The intelligent control system for the sensor-fed electric roller shutter type hollow sunshade door according to claim 5, wherein said determining whether the outdoor environment at time t+n is in a high temperature state comprises:

7. The intelligent control system for the sensor-fed electric roller shutter type hollow sunshade door according to claim 6, wherein the comparing the predicted thermal radiation coefficient of the indoor backlight area with the preset thermal radiation standard coefficient interval comprises:

8. The intelligent control system of the sensor-fed electric roller shutter type hollow sunshade door according to claim 7, wherein the generation logic of the pre-built door shutter opening and closing control model is as follows:

9. A sensing feedback intelligent control method for an electric roller shutter type hollow sunshade door, which is realized based on the sensing feedback intelligent control system for the electric roller shutter type hollow sunshade door, as claimed in any one of claims 1 to 8, and is characterized in that the method comprises the following steps: