CN116326976B - Controllable multilayer wisdom (window) curtain of degree of opening and shutting - Google Patents
Controllable multilayer wisdom (window) curtain of degree of opening and shutting Download PDFInfo
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47H—FURNISHINGS FOR WINDOWS OR DOORS
- A47H5/00—Devices for drawing draperies, curtains, or the like
- A47H5/02—Devices for opening and closing curtains
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47H—FURNISHINGS FOR WINDOWS OR DOORS
- A47H5/00—Devices for drawing draperies, curtains, or the like
- A47H5/02—Devices for opening and closing curtains
- A47H2005/025—Devices for opening and closing curtains controlled by electronic sensors
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Abstract
The application discloses a multi-layer intelligent curtain with controllable opening and closing degree, which relates to the technical field of intelligent curtains, wherein a detection unit detects indoor environment and establishes an internal environment data set; the internal environment data set is sent to a first processing unit, an internal environment coefficient Wxs is established, when the internal environment coefficient Wxs is lower than a corresponding threshold value, a judging result and a curtain adjusting strategy determined by the judging result are output, and after execution, if the internal environment coefficient Wxs is not reduced to be within a preset threshold value, the corresponding adjusting strategy is matched; forming a control instruction by a control unit, and controlling an execution unit to execute a corresponding adjustment strategy; if the internal environment coefficient Wxs is not reduced within the preset threshold, the third processing unit sends out an early warning to the outside. The corresponding adjustment strategy is determined according to the internal environment coefficient Wxs, so that the intelligent curtain can adopt different use modes according to the change of the environment, and the indoor environment can be changed in a targeted manner.
Description
Technical Field
The application relates to the technical field of intelligent curtains, in particular to a multi-layer intelligent curtain with controllable opening and closing degree.
Background
The intelligent curtain is capable of controlling opening and closing through an intelligent technology, intelligent operation is achieved through a connecting network, a sensor and other intelligent devices, the intelligent curtain can be controlled through various modes such as a smart phone, voice control and a remote controller, the opening and closing degree can be adjusted according to the requirements of users and environmental changes, and automatic and intelligent curtain management is achieved.
Current smart curtains generally have multiple layers, including, for example, a thermal curtain, a window shade, and a sound insulation curtain, and when in actual use, a user can choose to lower or raise a corresponding curtain according to a current indoor environment, for example, when external illumination is strong, the window shade is lowered, so that indoor illumination intensity is reduced.
However, when the existing intelligent curtain selects a corresponding adjusting strategy according to the indoor environment and controls the curtain to be lifted or put down, the output adjusting strategy is difficult to have pertinence, and is not necessarily suitable for the current indoor situation, so that the expected adjusting effect is difficult to be achieved.
Therefore, the application provides the multi-layer intelligent curtain with controllable opening and closing degree.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the application provides a multi-layer intelligent curtain with controllable opening and closing degree, which is characterized in that an indoor environment is detected by a detection unit to establish an internal environment data set; the internal environment data set is sent to a first processing unit, an internal environment coefficient Wxs is established, when the internal environment coefficient Wxs is lower than a corresponding threshold value, a judging result and a curtain adjusting strategy determined by the judging result are output, and after execution, if the internal environment coefficient Wxs is not reduced to be within a preset threshold value, the corresponding adjusting strategy is matched; forming a control instruction by a control unit, and controlling an execution unit to execute a corresponding adjustment strategy; if the internal environment coefficient Wxs is not reduced within the preset threshold, the third processing unit sends out an early warning to the outside. The corresponding adjustment strategy is determined according to the internal environment coefficient Wxs, so that the intelligent curtain can be used in different modes according to the change of the environment, the indoor environment is changed in a targeted manner, and the problem in the background technology is solved.
(II) technical scheme
In order to achieve the above purpose, the application is realized by the following technical scheme: the multi-layer intelligent curtain with the controllable opening and closing degree comprises a detection unit, a first processing unit, a control unit, an execution unit, a self-checking unit, a second processing unit and a third processing unit, wherein the detection unit is used for detecting the indoor environment, and an internal environment data set is established after acquiring indoor temperature, illumination intensity and temperature data; the detection unit comprises an illumination detection module, a noise detection module and a temperature detection module, wherein the illumination detection module is used for detecting the intensity of illumination which irradiates the room from outside the window to obtain illumination intensity Gq, the temperature detection module is used for detecting the indoor temperature to obtain indoor temperature T, and the noise detection module is used for detecting the indoor noise to obtain noise Zy; summarizing illumination intensity Gq, indoor temperature T and noise Zy, and establishing an internal environment data set;
the method comprises the steps of sending an internal environment data set to a first processing unit, establishing an internal environment coefficient Wxs, outputting a judging result and a curtain adjusting strategy determined by the judging result when the internal environment coefficient Wxs is lower than a corresponding threshold value, and executing the curtain adjusting strategy by an executing unit if an executing permission is obtained after the curtain adjusting strategy is obtained by a control unit; if the execution permission is not obtained within the preset time, or after the execution of the policy, the internal environment coefficient Wxs is not reduced to within the preset threshold,
the self-checking unit recognizes the indoor scene, acquires the current indoor scene, extracts scene characteristics, sends the scene characteristics to the second processing unit, and the second processing unit matches corresponding adjustment strategies according to the scene characteristics; forming a control instruction by a control unit, and controlling an execution unit to execute a corresponding adjustment strategy; after executing the strategy, if the internal environment coefficient Wxs is not reduced within the preset threshold, the third processing unit sends out an early warning to the outside.
Further, the first processing unit includes an evaluation module, a judgment module, and an analysis module, where the internal environment data set is sent to the evaluation module, the evaluation module obtains the illumination intensity Gq, the indoor temperature T, and the noise Zy, and after dimensionless processing, obtains the internal environment coefficient Wxs, and the obtaining mode of the internal environment coefficient Wxs accords with the following formula:
wherein alpha and beta are parameters of a changeable constant, < ->，The specific value is set by the user adjustment.
Further, the internal environment coefficient Wxs is sent to the judging module, when the internal environment coefficient Wxs is higher than the first threshold, a first judging result is output, when the internal environment coefficient Wxs is between the first threshold and the second threshold, a second judging result is output, and when the internal environment coefficient Wxs is lower than the second threshold, a third judging result is output; wherein the first threshold is greater than the second threshold.
Further, when the analysis module obtains the first judgment result, the judgment module judges whether the current indoor illumination intensity Gq exceeds a threshold value, and if so, a first regulation strategy is formed, wherein the strategy is as follows: lowering the window shade; when the analysis module obtains the second judgment result, the judgment module judges whether the illumination intensity Gq and the indoor temperature T exceed the threshold value, and if at least one of the illumination intensity Gq and the indoor temperature T exceeds the threshold value, a second regulation strategy is formed, wherein the strategy is as follows: lowering the heat-insulating curtain and the shading curtain; when the analysis module obtains the third judgment result, the judgment module judges whether the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the threshold value, and if at least two of the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the threshold value, a third regulation strategy is formed, wherein the strategy is as follows: the heat preservation curtain, the shading curtain and the sound insulation curtain are put down.
Further, the execution unit comprises an adjustment module, a positioning module and a voice recognition module, when the control unit executes any one of the first adjustment strategy, the second adjustment strategy and the third adjustment strategy, based on a preset indication word, after the voice recognition module obtains and recognizes the indication word, the execution unit sends out adjustment permission to the adjustment module to adjust one or more of the heat preservation curtain, the shading curtain and the sound insulation curtain, so that the window can be shielded at least partially; and determining the descending degree of the corresponding shading curtain, the heat preservation curtain and the sound insulation curtain according to the degree that the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the corresponding threshold values respectively, outputting the distance between the lower edge of the curtain and the lower edge of the window, and positioning the lower edge of the curtain by a positioning module.
Further, the self-checking unit includes a scene recognition module, a scene feature library and a recording module, when the voice recognition module fails to recognize a specific indicator in a preset time, or after executing any one of the first adjustment strategy, the second adjustment strategy and the third adjustment strategy, the internal environment coefficient Wxs is not reduced to be within a preset threshold, the scene recognition module judges the indoor user state, determines the indoor scene, extracts the current scene feature from the scene feature library according to the acquired indoor scene, and searches and matches the extracted scene feature in the pre-constructed feature library.
Further, when the scene feature does not exist in the feature library, recording the scene feature as an unknown scene feature by a recording module; when the acquired scene characteristics are unknown scene characteristics, a corresponding judging result is formed according to the indoor internal environment coefficient Wxs, and after a corresponding adjusting strategy is acquired, the control unit is used for executing the adjusting of one or more of the heat preservation curtain, the shading curtain and the sound insulation curtain, so that the window can be at least partially shielded.
Further, the second processing unit comprises an adjusting scheme library, a simulation module, an evaluation module and a scheme output module, wherein when the acquired scene characteristics are known scene characteristics, an adjusting strategy corresponding to the known scene characteristics is searched and matched from an adjusting scheme library which is built in advance and comprises a plurality of targeted adjusting strategies, and the fourth adjusting strategy is determined; according to the indoor scene, based on the internal environment data set acquired by the detection unit, after testing and training, an indoor scene digital twin model is established, simulation analysis is carried out on the fourth regulation strategy by the simulation module, and the result of the simulation analysis is output.
Further, after the evaluation module obtains the simulation result, whether the fourth regulation strategy is feasible or not is evaluated, and when the fourth regulation strategy is feasible, the scheme output module outputs the fourth regulation strategy; and when the fourth regulation strategy is not feasible, based on the indoor scene digital twin model, carrying out simulation analysis again, and after the fourth regulation strategy is corrected, forming a fifth regulation strategy, and outputting the fifth regulation strategy by the scheme output module.
Further, the third processing unit includes a fault detection module, a matching module, and a reminding module, where after executing the fifth adjustment policy or the fourth adjustment policy, if the indoor internal environment coefficient Wxs is still not reduced within the threshold range, the fault detection module performs fault detection on the window shade, the heat insulation window shade, and the sound insulation window shade of the smart window shade, and if the smart window shade has a fault, the corresponding fault feature is determined; according to the fault characteristics, the matching module matches corresponding maintenance schemes in a pre-constructed scheme library, and when a user approaches the intelligent curtain and the distance between the user and the intelligent curtain enters a preset distance threshold value, the reminding module sends a reminder to the user.
(III) beneficial effects
The application provides a multi-layer intelligent curtain with controllable opening and closing degree, which has the following beneficial effects:
the method comprises the steps of correlating a plurality of factors according to the formed internal environment coefficient Wxs, comprehensively evaluating the indoor environment, selecting a corresponding adjusting strategy for the intelligent curtain according to the distribution of the internal environment coefficients Wxs, and adjusting one or more of the heat preservation curtain, the light shading curtain and the sound insulation curtain so as to influence the indoor internal environment coefficient Wxs.
The corresponding regulation strategy is determined according to the value of the internal environment coefficient Wxs, the indoor environment is improved, the indoor environment can be changed to the direction required by a user, the intelligent curtain can be used in different modes according to the change of the environment, and the indoor environment is changed in a targeted manner.
Through the formed internal environment coefficient Wxs again, when the adjusting strategy fails to obtain the corresponding effect, the indoor environment and the scene are identified, the corresponding scene characteristics are extracted, the adjusting scheme is matched for the user again automatically, the state of the curtain is adjusted, and the intelligent curtain is fully targeted.
Through simulation analysis, the validity and the correctness of the output fourth regulation strategy and the output fifth regulation strategy can be ensured, after the fourth regulation strategy and the fifth regulation strategy are executed, the curtain can be correspondingly regulated by combining the indoor environment and the outdoor environment, and the indoor environment can be pertinently improved according to the current indoor situation.
According to the internal environment coefficient Wxs, after judging that the expected effect cannot be obtained through adjustment of the intelligent curtain, detecting the intelligent curtain, judging whether the intelligent curtain has faults or not, if so, outputting the faults of the intelligent curtain and corresponding maintenance schemes, and enabling a user to timely find the faults of the intelligent curtain so as to maintain, so that the curtain can be used normally.
Drawings
FIG. 1 is a schematic diagram of a first control flow of a multi-layer smart window covering according to the present application;
FIG. 2 is a schematic diagram of a second control flow structure of the multi-layer smart curtain of the present application.
In the figure:
10. a detection unit; 11. an illumination detection module; 12. a noise detection module; 13. a temperature detection module;
20. a first processing unit; 21. an evaluation module; 22. a judging module; 23. an analysis module; 30. a control unit; 40. an execution unit; 41. an adjustment module; 42. a positioning module; 43. a voice recognition module;
50. a self-checking unit; 51. a scene recognition module; 52. a scene feature library; 53. a recording module; 60. a second processing unit; 61. a library of adjustment schemes; 62. a simulation module; 63. an evaluation module; 64. a scheme output module;
70. a third processing unit; 71. a fault detection module; 72. a matching module; 73. and a reminding module.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Examples
Referring to fig. 1-2, the present application provides a multi-layer intelligent curtain with controllable opening and closing degree, which comprises a detecting unit 10, a first processing unit 20, a control unit 30, an executing unit 40, a self-checking unit 50, a second processing unit 60 and a third processing unit 70, wherein,
detecting the indoor environment by a detection unit 10, and establishing an internal environment data set after acquiring indoor temperature, illumination intensity and temperature data; the internal environment data set is sent to the first processing unit 20, an internal environment coefficient Wxs is established, when the internal environment coefficient Wxs is lower than a corresponding threshold value, a judging result and a curtain adjusting strategy determined by the judging result are output, and after the control unit 30 acquires the curtain adjusting strategy, if the control unit acquires the execution permission, a control instruction is formed, and the execution unit 40 executes the adjusting strategy; if the execution permission is not obtained within the preset time or after the execution of the strategy, the internal environment coefficient Wxs is not reduced to be within the preset threshold, the self-checking unit 50 identifies the indoor scene, acquires the current indoor scene and extracts the scene characteristics, the scene characteristics are sent to the second processing unit 60, and the second processing unit 60 matches the corresponding adjustment strategy according to the scene characteristics; forming a control instruction by the control unit 30, controlling the execution unit 40 to execute a corresponding adjustment strategy; after executing the strategy, if the internal environment coefficient Wxs has not yet decreased to be within the preset threshold, the third processing unit 70 sends out an early warning to the outside.
Referring to fig. 1 and 2, the detecting unit 10 includes an illumination detecting module 11, a noise detecting module 12 and a temperature detecting module 13, wherein the illumination detecting module 11 detects the intensity of illumination which irradiates the room from outside the window to obtain illumination intensity Gq, the temperature detecting module 13 detects the temperature in the room to obtain the temperature T in the room, and the noise detecting module 12 detects the noise in the room to obtain noise Zy; summarizing illumination intensity Gq, indoor temperature T and noise Zy, and establishing an internal environment data set;
when the indoor environment evaluation method is used, the indoor environment can be evaluated by establishing an internal environment data set, and whether the indoor environment can form negative influence on indoor users at present is judged; for example, if the noise from the outside is large, the sleeping of the user is affected when the user in the room sleeps.
Referring to fig. 1 and 2, the first processing unit 20 includes an evaluation module 21, a judging module 22, and an analyzing module 23, wherein an internal environment data set is sent to the evaluation module 21, the evaluation module 21 obtains the illumination intensity Gq, the indoor temperature T, and the noise Zy, and after dimensionless processing, obtains an internal environment coefficient Wxs;
the acquisition mode of the internal environment coefficient Wxs accords with the following formula:
wherein, alpha and beta are changeable constant parameters,，/>the specific value is set by the user adjustment.
When the intelligent curtain system is used, a plurality of factors are related together according to the formed internal environment coefficient Wxs, the indoor environment can be comprehensively evaluated, corresponding adjustment strategies can be selected for the intelligent curtain according to the distribution of the internal environment coefficients Wxs, one or more of the heat preservation curtain, the light shading curtain and the sound insulation curtain can be adjusted, and then the indoor internal environment coefficient Wxs is influenced, so that the indoor illumination intensity Gq, the indoor temperature T and the noise Zy are adjusted.
Referring to fig. 1, the internal environment coefficient Wxs is sent to the judging module 22, when the internal environment coefficient Wxs is higher than the first threshold, a first judging result is output, when the internal environment coefficient Wxs is between the first threshold and the second threshold, a second judging result is output, and when the internal environment coefficient Wxs is lower than the second threshold, a third judging result is output; wherein the first threshold is greater than the second threshold.
When the indoor environment management method is used, after the internal environment coefficient Wxs is obtained through the set first threshold value and second threshold value, the current indoor environment can be divided, and the coping strategies can be determined according to the division results.
Referring to fig. 1, when the analysis module 23 obtains the first determination result, the determination module 22 determines whether the current indoor illumination intensity Gq exceeds the threshold value, and if so, a first adjustment policy is formed, where the policy is: lowering the window shade;
when the analysis module 23 obtains the second determination result, the determination module 22 determines whether the illumination intensity Gq and the indoor temperature T exceed the threshold, and if at least one of them exceeds, a second adjustment policy is formed, where the policy is: lowering the heat-insulating curtain and the shading curtain;
when the analysis module 23 obtains the third determination result, the determination module 22 determines whether the illumination intensity Gq, the indoor temperature T, and the noise Zy exceed the threshold, and if at least two of them exceed, a third adjustment policy is formed, where the policy is: the heat preservation curtain, the shading curtain and the sound insulation curtain are put down.
When the intelligent curtain is used, different judging results are formed according to different values of the internal environment coefficients Wxs, and corresponding adjusting strategies are determined according to the judging results, so that the indoor environment is changed in a targeted mode, for example, when the indoor temperature is too high, the heat-insulating curtain is put down for heat insulation, when the external noise is too high, the sound-insulating curtain is put down for sound insulation, the indoor environment is improved by determining the corresponding adjusting strategies according to the values of the internal environment coefficients Wxs, the indoor environment can be changed to the direction required by a user, and the intelligent curtain can be used in different modes according to the change of the environment.
Referring to fig. 1 and 2, the execution unit 40 includes an adjustment module 41, a positioning module 42 and a voice recognition module 43,
when any one of the first adjustment strategy, the second adjustment strategy and the third adjustment strategy is executed by the control unit 30, the preset instruction words are used for sending adjustment authority to the adjustment module 41, namely, executing permission after being acquired and identified by the voice recognition module 43, and one or more of the heat preservation curtain, the light shading curtain and the sound insulation curtain are adjusted, so that the window is at least partially shielded;
determining the descending degree of the corresponding window shade, the heat-preserving window shade and the sound-insulating window shade according to the degree that the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the corresponding threshold values respectively and according to preset conditions, for example, the window shade is descended by 50 percent when the illumination intensity Gq exceeds 10 percent of the corresponding threshold value and by 80 percent when the illumination intensity Gq exceeds 20 percent of the corresponding threshold value; and outputs the distance between the lower edge of the curtain and the lower edge of the window, and the positioning module 42 positions the lower edge of the curtain.
When the window curtain regulation system is used, after the regulation strategy is obtained, the permission of executing the regulation strategy is obtained according to the identification of the preset specific instruction words, so that a notification effect is formed for a user, and therefore, if the user is not satisfied with the current regulation strategy, manual regulation can be performed, and finally, the regulation on the window curtain can fully meet the actual demands of the user, and the pertinence is better.
Referring to fig. 2, the self-checking unit 50 includes a scene recognition module 51, a scene feature library 52 and a recording module 53,
after the voice recognition module 43 fails to recognize a specific instruction word within a preset time or after executing any one of the first adjustment policy, the second adjustment policy and the third adjustment policy, the internal environment coefficient Wxs is not reduced to be within a preset threshold, the context recognition module 51 judges the indoor user state and determines an indoor context, for example, whether the indoor user is sleeping, reading, working or some other context, and the current context feature is extracted by the context feature library 52 according to the acquired indoor context, for example, when the indoor user is in a reading context, the indoor needs to keep illumination soft and quiet; searching and matching the extracted scene features in a pre-constructed feature library;
when the scene feature does not exist in the feature library, the recording module 53 records the scene feature as an unknown scene feature, when the acquired scene feature is the unknown scene feature, a corresponding judgment result is formed according to the indoor internal environment coefficient Wxs, and after a corresponding adjustment strategy is acquired, the control unit 30 performs adjustment on one or more of the heat preservation curtain, the light shielding curtain and the sound insulation curtain, so that the window is at least shielded.
When the intelligent curtain system is used, when the right cannot be obtained or after an adjustment strategy is executed, the indoor environment is comprehensively evaluated and judged again through the formed internal environment coefficient Wxs again, if the corresponding effect cannot be obtained, the indoor environment and the scene are identified, the corresponding scene characteristics are extracted, the current indoor scene is automatically matched with an adjustment scheme again for a user, the state of the curtain is adjusted, and the intelligent curtain is fully targeted.
Referring to fig. 2, the second processing unit 60 includes an adjustment scheme library 61, a simulation module 62, an evaluation module 63, and a scheme output module 64, where when the acquired scene feature is a known scene feature, an adjustment policy corresponding to the known scene feature is retrieved and matched from the adjustment scheme library 61 that is pre-constructed and includes a plurality of targeted adjustment policies, and is determined as a fourth adjustment policy;
according to the indoor scene, based on the internal environment data set acquired by the detection unit 10, after testing and training, an indoor scene digital twin model is established, simulation analysis is performed on the fourth regulation strategy by the simulation module 62, and the result of the simulation analysis is output;
after the evaluation module 63 obtains the simulation result, whether the fourth adjustment strategy is feasible or not is evaluated, and when the fourth adjustment strategy is feasible, the fourth adjustment strategy is output by the scheme output module 64; when the fourth regulation strategy is not feasible, based on the indoor scene digital twin model, simulation analysis is performed again, after the fourth regulation strategy is modified, a fifth regulation strategy is formed, and the fifth regulation strategy is output by the scheme output module 64.
When the intelligent curtain system is used, on the basis that scene characteristics are acquired, a targeted adjustment strategy is matched from the adjustment scheme library 61, simulation analysis is performed to judge whether the matched adjustment strategy is feasible, the matched adjustment strategy is finally output, validity and correctness of the output fourth adjustment strategy and fifth adjustment strategy can be ensured through the simulation analysis, and after the fourth adjustment strategy and the fifth adjustment strategy are executed, the curtain is correspondingly adjusted by combining indoor and outdoor environments, so that the indoor environment can be targeted improved according to the current indoor scene.
Referring to fig. 2, the third processing unit 70 includes a fault detection module 71, a matching module 72, and a reminding module 73, wherein after executing the fifth adjustment strategy or the fourth adjustment strategy, if the indoor internal environment coefficient Wxs is not yet reduced within the threshold range, the fault detection module 71 performs fault detection on the window shade, the heat insulation window shade, and the sound insulation window shade of the smart window shade, and if the smart window shade has a fault, determines a corresponding fault characteristic; according to the fault characteristics, the matching module 72 matches the corresponding maintenance scheme in the pre-constructed scheme library, and when the user approaches the intelligent curtain and the distance from the intelligent curtain is within a preset distance threshold, for example, when the distance from the user to the intelligent curtain is not greater than 2 meters, the reminding module 73 sends a reminder to the user.
When the intelligent curtain control system is used, after the fifth regulation strategy or the fourth regulation strategy is executed, according to the internal environment coefficient Wxs, after the expected effect cannot be obtained through the regulation of the intelligent curtain, the intelligent curtain is required to be detected at the moment because the regulation strategy of the intelligent curtain is output, whether the intelligent curtain has faults or not is judged, if the faults exist, the faults of the intelligent curtain and corresponding maintenance schemes are output, at the moment, a user can timely find the faults of the intelligent curtain, maintenance is conducted, and the intelligent curtain can be used normally.
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. 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.
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.
The foregoing is merely illustrative of the present application, and the present application 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 application.
Claims (1)
1. The utility model provides a controllable multilayer wisdom (window) curtain of degree of opening and shutting which characterized in that: comprises a detection unit (10), a first processing unit (20), a control unit (30), an execution unit (40), a self-checking unit (50), a second processing unit (60) and a third processing unit (70), wherein,
detecting the indoor environment by a detection unit (10), and establishing an internal environment data set after acquiring indoor temperature, illumination intensity and temperature data; the detection unit (10) comprises an illumination detection module (11), a noise detection module (12) and a temperature detection module (13), wherein the illumination detection module (11) detects the intensity of illumination which irradiates the room from outside the window to obtain illumination intensity Gq, the temperature detection module (13) detects the indoor temperature to obtain the indoor temperature T, and the noise detection module (12) detects the indoor noise to obtain noise Zy; summarizing illumination intensity Gq, indoor temperature T and noise Zy, and establishing an internal environment data set;
transmitting the internal environment data set to a first processing unit (20), establishing an internal environment coefficient Wxs, and outputting a judging result and a curtain adjusting strategy determined by the judging result when the internal environment coefficient Wxs is lower than a corresponding threshold value;
when the control unit (30) acquires the curtain regulation strategy, if the control unit acquires the execution permission, a control instruction is formed, and the execution unit (40) executes the regulation strategy; if the execution permission cannot be obtained within the preset time or after the strategy is executed, the internal environment coefficient Wxs is not reduced to be within the preset threshold value, the self-checking unit (50) identifies the indoor scene, acquires the current indoor scene and extracts the scene characteristics, the scene characteristics are sent to the second processing unit (60), and the second processing unit (60) matches the corresponding adjustment strategy according to the scene characteristics;
forming a control instruction by the control unit (30), controlling the execution unit (40) to execute a corresponding regulation strategy, and after executing the strategy, if the internal environment coefficient Wxs is not reduced to be within a preset threshold, sending an early warning to the outside by the third processing unit (70);
the first processing unit (20) comprises an evaluation module (21), a judgment module (22) and an analysis module (23), wherein,
the internal environment data set is sent to an evaluation module (21), the evaluation module (21) acquires the illumination intensity Gq, the indoor temperature T and the noise Zy, and after dimensionless processing, the internal environment coefficient Wxs is acquired, and the acquisition mode of the internal environment coefficient Wxs accords with the following formula:
where alpha and beta are parameters of a variable constant,，/>the specific value is adjusted and set by a user;
transmitting the internal environment coefficient Wxs to the judging module (22), outputting a first judging result when the internal environment coefficient Wxs is higher than a first threshold value, outputting a second judging result when the internal environment coefficient Wxs is between the first threshold value and a second threshold value, and outputting a third judging result when the internal environment coefficient Wxs is lower than the second threshold value; wherein the first threshold is greater than the second threshold;
when the analysis module (23) acquires a first judgment result, the judgment module (22) judges whether the current indoor illumination intensity Gq exceeds a threshold value, and if so, a first regulation strategy is formed, wherein the strategy is as follows: lowering the window shade;
when the analysis module (23) acquires the second judgment result, the judgment module (22) judges whether the illumination intensity Gq and the indoor temperature T exceed the threshold value, and if at least one of the illumination intensity Gq and the indoor temperature T exceeds the threshold value, a second regulation strategy is formed, wherein the strategy is as follows: lowering the heat-insulating curtain and the shading curtain;
when the analysis module (23) obtains the third judgment result, the judgment module (22) judges whether the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the threshold value, and if at least two of the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the threshold value, a third regulation strategy is formed, wherein the strategy is as follows: setting down the heat-insulating curtain, the shading curtain and the sound-insulating curtain;
the execution unit (40) comprises an adjusting module (41), a positioning module (42) and a voice recognition module (43),
when any one of the first regulation strategy, the second regulation strategy and the third regulation strategy is executed by the control unit (30), based on a preset indication word, after the indication word is acquired and identified by the voice recognition module (43), regulation authority is sent to the regulation module (41), and one or more of the heat preservation curtain, the shading curtain and the sound insulation curtain are regulated so that the window is shielded at least partially;
determining the descending degree of the corresponding shading curtain, the heat preservation curtain and the sound insulation curtain according to the degree that the illumination intensity Gq, the indoor temperature T and the noise Zy exceed the corresponding threshold values respectively, outputting the distance between the lower edge of the curtain and the lower edge of the window, and positioning the lower edge of the curtain by a positioning module (42);
the self-checking unit (50) comprises a scene identification module (51), a scene feature library (52) and a recording module (53);
when the voice recognition module (43) fails to recognize a specific instruction word within a preset time, or after executing any one of a first regulation strategy, a second regulation strategy and a third regulation strategy, the internal environment coefficient Wxs is not reduced to be within a preset threshold value, the context recognition module (51) judges the indoor user state, determines the indoor context, extracts the current context feature from the context feature library (52) according to the acquired indoor context, and searches and matches the extracted context feature in the pre-constructed feature library;
recording, by a recording module (53), the scene feature as an unknown scene feature when the scene feature does not exist in the feature library; when the acquired scene characteristics are unknown scene characteristics, a corresponding judging result is formed according to an indoor internal environment coefficient Wxs, and after a corresponding adjusting strategy is acquired, the control unit (30) is used for executing the adjusting of one or more of the heat-insulating curtain, the light-shading curtain and the sound-insulating curtain, so that the window can be at least partially shielded;
the second processing unit (60) comprises an adjusting scheme library (61), a simulation module (62), an evaluation module (63) and a scheme output module (64), wherein when the acquired scene characteristics are known scene characteristics, an adjusting strategy corresponding to the known scene characteristics is searched and matched from the adjusting scheme library (61) which is built in advance and comprises a plurality of targeted adjusting strategies, and the fourth adjusting strategy is determined;
according to the indoor scene, based on an internal environment data set acquired by the detection unit (10), after testing and training, an indoor scene digital twin model is established, simulation analysis is carried out on a fourth regulation strategy by the simulation module (62), and a simulation analysis result is output;
after the simulation result is obtained by the evaluation module (63), whether the fourth regulation strategy is feasible or not is evaluated, and when the fourth regulation strategy is feasible, the fourth regulation strategy is output by the scheme output module (64); when the fourth regulation strategy is not feasible, based on the indoor scene digital twin model, carrying out simulation analysis again, after the fourth regulation strategy is corrected, forming a fifth regulation strategy, and outputting the fifth regulation strategy by a scheme output module (64);
the third processing unit (70) comprises a fault detection module (71), a matching module (72) and a reminding module (73), wherein after a fifth regulation strategy or a fourth regulation strategy is executed, if the indoor internal environment coefficient Wxs is not reduced within a threshold range, the fault detection module (71) detects faults of a shading curtain, a heat preservation curtain and a sound insulation curtain of the intelligent curtain, and if the intelligent curtain has faults, corresponding fault characteristics are determined;
according to the fault characteristics, a matching module (72) matches corresponding maintenance schemes in a pre-constructed scheme library, and when a user approaches the intelligent curtain and the distance between the user and the intelligent curtain is within a preset distance threshold, a reminding module (73) sends a reminder to the user.
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