Scene control method and system for indoor space

Abstract

The present invention discloses a scene control method and system for indoor space, which collects indoor environment parameter combinations of each interactive space according to the detection of multiple interactive spaces at the same time; and determines the corresponding indoor scene features based on the identification of each indoor environment parameter combination. In the indoor space, a multi-dimensional parameter set is constructed according to multiple indoor scene features, the area of ​​the corresponding interactive space and the relative position of each interactive space, and the indoor scene of the indoor space is determined according to the multi-dimensional parameter set; the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scene, and the autonomous adjustment of multiple indoor intelligent devices is triggered based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices and the task progress model, so that work distribution can be performed in a collaborative form, thereby ensuring the scene control effect of the indoor space.

Description

Technical Field

[0001] The present invention relates to the technical field of indoor space, and in particular to a scene control method and system for indoor space. Background Art

[0002] With the development of science and technology, indoor space is located in indoor buildings and serves as people's living space. The indoor space accommodates multiple indoor smart devices, including smart mops, sweepers, automated window equipment, smart lighting components, smart TVs, etc. Multiple indoor smart devices are electrically connected. In the prior art, the indoor space will have multiple indoor scenes, and different indoor scenes are configured with corresponding indoor tasks. However, there are multiple indoor tasks, and multiple indoor tasks cannot trigger the autonomous adjustment of multiple indoor smart devices, which affects the scene control effect of the indoor space. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a scene control method and system for an indoor space, which determines an indoor smart device cluster based on the device traversal of the indoor space; matches multiple interactive spaces according to the indoor smart device cluster, the corresponding position and the space division learning model; collects the indoor environmental parameter combination of each interactive space according to the detection of multiple interactive spaces at the same time; determines the corresponding indoor scene features based on the identification of each indoor environmental parameter combination, is compatible with the synchronous compatibility of multiple interactive spaces and the identification of each indoor environmental parameter combination, realizes multi-dimensional control of indoor scene features, and ensures the accuracy of indoor scene features.

[0004] Furthermore, in the indoor space, a multidimensional parameter set is constructed according to the characteristics of multiple indoor scenes, the areas of corresponding interactive spaces, and the relative positions of each interactive space, and the indoor scene of the indoor space is determined according to the multidimensional parameter set; the indoor scene of the indoor space is monitored in real time, and the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces, and the task priorities corresponding to the indoor scene, and the autonomous adjustment of multiple indoor intelligent devices is triggered based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices, and the task progress model, thereby ensuring the autonomous allocation of multiple indoor intelligent devices to each indoor task in the indoor space, and being able to perform work allocation in a collaborative form to trigger the autonomous adjustment of multiple indoor intelligent devices, thereby realizing the reasonable allocation of the functions and work progress of multiple indoor tasks to multiple indoor intelligent devices, and ensuring the scene control effect of the indoor space.

[0005] The embodiment of the present invention provides a scene control method for an indoor space, which is applied to the scene control of the indoor space;

[0006] The scene control method of the indoor space comprises:

[0007] Determine indoor smart device clusters based on device traversal in indoor space;

[0008] Match multiple interactive spaces based on indoor smart device clusters, corresponding locations, and space division learning models;

[0009] Collecting indoor environment parameter combinations of each interactive space based on detection of multiple interactive spaces at the same time;

[0010] Determine the corresponding indoor scene features based on the recognition of each indoor environment parameter combination;

[0011] In the indoor space, a multi-dimensional parameter set is constructed according to a plurality of indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and an indoor scene of the indoor space is determined according to the multi-dimensional parameter set;

[0012] Monitor the indoor scenes of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of multiple indoor tasks, the corresponding indoor smart devices and the task progress model.

[0013] Optionally, determining an indoor smart device cluster based on device traversal in the indoor space includes:

[0014] Collecting the location of the indoor space, and determining the layout of the indoor space based on the positioning detection of the location of the indoor space;

[0015] Determine the equipment traversal mode according to the layout and area of ​​the indoor space;

[0016] Associating the indoor space and the device traversal mode;

[0017] Determine a plurality of indoor smart devices according to the indoor space and the device traversal pattern, wherein the plurality of indoor smart devices are distributed at different locations in the indoor space;

[0018] An indoor smart device cluster is determined according to the multiple indoor smart devices, the locations of the multiple indoor smart devices, and the layout of the indoor space.

[0019] Optionally, matching multiple interactive spaces according to the indoor smart device cluster, the corresponding position and the space division learning model includes:

[0020] Freeze the indoor smart device cluster;

[0021] Divide multiple indoor smart device combinations based on indoor smart device clusters and work dimensions;

[0022] Associating multiple indoor smart device combinations, corresponding locations, and space division learning models;

[0023] Determine a first space parameter based on a combination of multiple indoor smart devices and corresponding positions;

[0024] Determine the second space parameter based on the combination of multiple indoor smart devices and the space division learning model, where the space division learning model is trained based on previous space data;

[0025] The first space parameter, the second space parameter and the indoor space are associated to match multiple interactive spaces. In the same interactive space, various indoor smart devices dynamically interact with each other and work together based on indoor tasks.

[0026] Optionally, collecting indoor environment parameter combinations of each interactive space according to detection of multiple interactive spaces at the same time includes:

[0027] Collect multiple interactive spaces;

[0028] Trigger detection at the same time based on multiple interaction spaces;

[0029] Determine multiple environmental spaces based on the detection of multiple interactive spaces at the same time, and each interactive space matches an environmental space;

[0030] Based on the division of each environmental space, multiple sub-environmental spaces are formed;

[0031] Multiple environmental parameters are collected based on the detection of multiple sub-environmental spaces, and the environmental parameters of the environmental space are determined based on the multiple environmental parameters, the locations of the environmental parameters and the spatial areas of the sub-environmental spaces. A combination of indoor environmental parameters of each interactive space is formed based on the environmental parameters of the multiple environmental spaces.

[0032] Optionally, the determining corresponding indoor scene features based on the identification of each indoor environment parameter combination includes:

[0033] Freeze various indoor environmental parameter combinations;

[0034] Associating various indoor environmental parameter combinations with a combination recognition model, wherein the combination recognition model is trained based on data of previous environmental parameter combinations;

[0035] Trigger dynamic recognition based on various indoor environmental parameter combinations and combined recognition models, and output corresponding environmental features in dynamic recognition;

[0036] The corresponding indoor scene features are determined according to a plurality of environmental features, positions corresponding to the environmental features, and functions of corresponding indoor smart devices.

[0037] Optionally, in the indoor space, constructing a multidimensional parameter set according to a plurality of indoor scene features, the areas of corresponding interactive spaces, and the relative positions of the interactive spaces, and determining the indoor scene of the indoor space according to the multidimensional parameter set includes:

[0038] In this interior space, multiple interactive spaces are framed;

[0039] Associating multiple indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space;

[0040] Determine primary dimension parameters according to multiple indoor scene features and the area of ​​the corresponding interactive space;

[0041] A plurality of complex dimensional parameters are determined according to a plurality of indoor scene features and the relative positions of each interactive space.

[0042] Optionally, in the indoor space, constructing a multidimensional parameter set according to a plurality of indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and determining the indoor scene of the indoor space according to the multidimensional parameter set, further includes:

[0043] Determining a multi-dimensional parameter set according to multiple interactions of multiple complex-level dimensional parameters and primary-level dimensional parameters;

[0044] The indoor scene of the indoor space is determined according to the multi-dimensional parameter set, the indoor space and the distribution of each indoor smart device.

[0045] Optionally, the real-time monitoring of the indoor scene of the indoor space, determining the execution order of multiple indoor tasks according to the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scene, and triggering the autonomous adjustment of multiple indoor smart devices based on the execution order of the multiple indoor tasks, the corresponding indoor smart devices and the task progress model, includes:

[0046] Locate the indoor scene of the indoor space and monitor the indoor scene of the indoor space in real time;

[0047] Based on the tracing of the indoor space, a task space is defined, and according to the traversal of the task space, a task set matching the indoor space is collected;

[0048] The task set matched by the associated indoor space, multiple interactive spaces and the task priority corresponding to the indoor scene; at this time, the task priority corresponding to the indoor scene is matched based on the type of indoor scene, the load of the indoor scene and the current time;

[0049] The execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes.

[0050] Optionally, the real-time monitoring of the indoor scene of the indoor space, determining the execution order of multiple indoor tasks according to the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scene, triggering the autonomous adjustment of the multiple indoor smart devices based on the execution order of the multiple indoor tasks, the corresponding indoor smart devices and the task progress model, also includes:

[0051] Determine a first adjustment performance parameter based on the execution order of multiple indoor tasks and the corresponding indoor smart devices; determine a second adjustment performance parameter based on the execution order of multiple indoor tasks and the task progress model;

[0052] The second adjustment performance parameter, the first adjustment performance parameter and multiple indoor smart devices are associated, an autonomous adjustment model is determined according to the second adjustment performance parameter, the first adjustment performance parameter and multiple indoor smart devices, and autonomous adjustment of the multiple indoor smart devices is triggered according to the autonomous adjustment model.

[0053] In addition, an embodiment of the present invention further provides a scene control system for an indoor space, wherein the scene control system for the indoor space comprises:

[0054] A clustering module, used to determine indoor smart device clusters based on device traversal in the indoor space;

[0055] The interactive space module is used to match multiple interactive spaces according to the indoor smart device clusters, corresponding locations, and space division learning models;

[0056] An indoor environment module, used to collect indoor environment parameter combinations of each interactive space based on the detection of multiple interactive spaces at the same time;

[0057] A feature module, used to determine corresponding indoor scene features based on the recognition of each indoor environment parameter combination;

[0058] An indoor scene module, used to construct a multi-dimensional parameter set in the indoor space according to multiple indoor scene features, the area of ​​the corresponding interactive space and the relative position of each interactive space, and determine the indoor scene of the indoor space according to the multi-dimensional parameter set;

[0059] The adjustment module is used to monitor the indoor scenes of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of multiple indoor tasks, the corresponding indoor smart devices and the task progress model.

[0060] In an embodiment of the present invention, through the method in the embodiment of the present invention, an indoor smart device cluster is determined based on the device traversal of the indoor space; multiple interactive spaces are matched according to the indoor smart device cluster, the corresponding position and the space division learning model; the indoor environmental parameter combination of each interactive space is collected according to the detection of multiple interactive spaces at the same time; the corresponding indoor scene characteristics are determined based on the identification of each indoor environmental parameter combination, which is compatible with the synchronous compatibility of multiple interactive spaces and the identification of each indoor environmental parameter combination, realizes multi-dimensional control of indoor scene characteristics, and ensures the accuracy of indoor scene characteristics.

[0061] Furthermore, in the indoor space, a multidimensional parameter set is constructed according to the characteristics of multiple indoor scenes, the areas of corresponding interactive spaces, and the relative positions of each interactive space, and the indoor scene of the indoor space is determined according to the multidimensional parameter set; the indoor scene of the indoor space is monitored in real time, and the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces, and the task priorities corresponding to the indoor scene, and the autonomous adjustment of multiple indoor intelligent devices is triggered based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices, and the task progress model, thereby ensuring the autonomous allocation of multiple indoor intelligent devices to each indoor task in the indoor space, and being able to perform work allocation in a collaborative form to trigger the autonomous adjustment of multiple indoor intelligent devices, thereby realizing the reasonable allocation of the functions and work progress of multiple indoor tasks to multiple indoor intelligent devices, and ensuring the scene control effect of the indoor space. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0063] Figure 1 is a flow chart of a scene control method for an indoor space in an embodiment of the present invention;

[0064] Figure 2 is a flow chart of S11 in the scene control method for an indoor space in an embodiment of the present invention;

[0065] Figure 3 is a flow chart of S12 in the scene control method for an indoor space in an embodiment of the present invention;

[0066] Figure 4is a flow chart of S13 in the scene control method for an indoor space in an embodiment of the present invention;

[0067] Figure 5 is a flow chart of S14 in the scene control method for an indoor space in an embodiment of the present invention;

[0068] Figure 6 is a flow chart of S15 in the scene control method for an indoor space in an embodiment of the present invention;

[0069] Figure 7 is a flow chart of S16 in the scene control method for an indoor space in an embodiment of the present invention;

[0070] Figure 8 Schematic diagram of the structure of the scene control system of the indoor space in the embodiment of the present invention;

[0071] Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] See also Figures 1 to 9 , a scene control method for an indoor space, applied to the scene control of the indoor space; the scene control method for the indoor space comprises:

[0074] Step S11: Determine an indoor smart device cluster based on device traversal in the indoor space;

[0075] Step S12: Match multiple interactive spaces according to the indoor smart device cluster, the corresponding location and the space division learning model;

[0076] Step S13: collecting indoor environment parameter combinations of each interactive space according to detection of multiple interactive spaces at the same time;

[0077] Step S14: determining corresponding indoor scene features based on the identification of each indoor environment parameter combination;

[0078] Step S15: in the indoor space, construct a multi-dimensional parameter set according to multiple indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and determine the indoor scene of the indoor space according to the multi-dimensional parameter set;

[0079] Step S16: Monitor the indoor scene of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scene, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of multiple indoor tasks, the corresponding indoor smart devices and the task progress model.

[0080] In an embodiment of the present invention, through the method in the embodiment of the present invention, an indoor smart device cluster is determined based on the device traversal of the indoor space; multiple interactive spaces are matched according to the indoor smart device cluster, the corresponding position and the space division learning model; the indoor environmental parameter combination of each interactive space is collected according to the detection of multiple interactive spaces at the same time; the corresponding indoor scene characteristics are determined based on the identification of each indoor environmental parameter combination, which is compatible with the synchronous compatibility of multiple interactive spaces and the identification of each indoor environmental parameter combination, realizes multi-dimensional control of indoor scene characteristics, and ensures the accuracy of indoor scene characteristics.

[0081] Furthermore, in the indoor space, a multidimensional parameter set is constructed according to the characteristics of multiple indoor scenes, the areas of corresponding interactive spaces, and the relative positions of each interactive space, and the indoor scene of the indoor space is determined according to the multidimensional parameter set; the indoor scene of the indoor space is monitored in real time, and the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces, and the task priorities corresponding to the indoor scene, and the autonomous adjustment of multiple indoor intelligent devices is triggered based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices, and the task progress model, thereby ensuring the autonomous allocation of multiple indoor intelligent devices to each indoor task in the indoor space, and being able to perform work allocation in a collaborative form to trigger the autonomous adjustment of multiple indoor intelligent devices, thereby realizing the reasonable allocation of the functions and work progress of multiple indoor tasks to multiple indoor intelligent devices, and ensuring the scene control effect of the indoor space.

[0082] refer to Figure 2 , in step S11, determining an indoor smart device cluster based on device traversal in the indoor space;

[0083] In the specific implementation process of the present invention, the specific steps may be:

[0084] S111: collecting the location of the indoor space, and determining the layout of the indoor space based on the positioning detection of the location of the indoor space;

[0085] S112: Determine a device traversal mode according to the layout of the indoor space and the area of ​​the indoor space;

[0086] S113: Associating the indoor space and the device traversal mode;

[0087] S114: Determine a plurality of indoor smart devices according to the indoor space and the device traversal pattern, wherein the plurality of indoor smart devices are distributed at different locations in the indoor space;

[0088] S115: Determine an indoor smart device cluster according to the multiple indoor smart devices, the locations of the multiple indoor smart devices, and the layout of the indoor space.

[0089] In an embodiment of the present application, the location of the indoor space is collected, and the layout of the indoor space is determined based on the positioning detection of the location of the indoor space. Positioning detection is performed on the location of the indoor space to facilitate the detection of the indoor space, so as to control the layout of the indoor space, thereby achieving preliminary control of the indoor space, so as to facilitate further overall control of the indoor space.

[0090] Furthermore, the device traversal mode is determined according to the layout of the indoor space and the area of ​​the indoor space. The layout of the indoor space and the area of ​​the indoor space are introduced, and multiple interactions are performed on the layout of the indoor space and the area of ​​the indoor space to facilitate compatibility with the overall consideration of the layout of the indoor space and the area of ​​the indoor space, thereby ensuring the device traversal mode. At this time, the device traversal mode is used as a mode for traversing indoor smart devices to facilitate the acquisition of multiple indoor smart devices in the indoor space.

[0091] Therefore, the indoor space and the device traversal pattern are associated; multiple indoor smart devices are determined according to the indoor space and the device traversal pattern, and the multiple indoor smart devices are distributed in different positions of the indoor space. Multi-dimensional control is performed based on the indoor space and the device traversal pattern, and the positioning of multiple indoor smart devices in the indoor space is achieved, so as to know the number and positions of the indoor smart devices in the indoor space.

[0092] Furthermore, an indoor smart device cluster is determined based on multiple indoor smart devices, the locations of multiple indoor smart devices and the layout of the indoor space, and multiple indoor smart devices, the locations of multiple indoor smart devices and the layout of the indoor space are introduced. Multiple interactions are performed on the multiple indoor smart devices, the locations of multiple indoor smart devices and the layout of the indoor space to ensure the creation of the indoor smart device cluster, thereby performing overall management and control based on the indoor smart device cluster to ensure overall management and control of multiple indoor smart devices in the indoor space.

[0093] refer to Figure 3 , in step S12, matching multiple interaction spaces according to the indoor smart device cluster, the corresponding location and the space division learning model;

[0094] In the specific implementation process of the present invention, the specific steps may be:

[0095] S121: freeze-frame indoor smart device cluster;

[0096] S122: Divide multiple indoor smart device combinations based on indoor smart device clusters and work dimensions;

[0097] S123: Associating multiple indoor smart device combinations, corresponding locations, and space division learning models;

[0098] S124: Determine a first space parameter based on a combination of multiple indoor smart devices and corresponding positions;

[0099] S125: determining a second space parameter based on a combination of multiple indoor smart devices and a space division learning model, where the space division learning model is trained based on previous space data;

[0100] S126: Associating the first space parameter, the second space parameter, and the indoor space to match multiple interactive spaces. In the same interactive space, various indoor smart devices dynamically interact with each other and work together based on indoor tasks.

[0101] In an embodiment of the present application, an indoor smart device cluster is frozen; multiple indoor smart device combinations are divided based on the indoor smart device cluster and the working dimension, and the indoor smart device cluster and the working dimension are introduced. Multi-dimensional control is performed on the indoor smart device cluster and the working dimension division, thereby outputting multiple indoor smart device combinations, thereby ensuring the rationality of the multiple indoor smart device combinations.

[0102] At this time, multiple indoor smart device combinations, corresponding positions and space division learning models are associated, and multiple indoor smart device combinations, corresponding positions and space division learning models are introduced. Overall management and control are carried out for multiple indoor smart device combinations, corresponding positions and space division learning models, realizing multi-dimensional control of multiple indoor smart device combinations, corresponding positions and space division learning models.

[0103] Therefore, the first space parameter is determined based on the combination of multiple indoor smart devices and the corresponding positions; the second space parameter is determined based on the combination of multiple indoor smart devices and the space division learning model. At this time, the space division learning model is trained based on previous space data, and the first space parameter and the second space parameter are introduced. Furthermore, the first space parameter, the second space parameter and the indoor space are associated to match multiple interactive spaces. In the same interactive space, each indoor smart device dynamically interacts and works together based on indoor tasks.

[0104] refer to Figure 4, in step S13, in the cleaning space of the floor, the indoor environment parameter combination of each interactive space is collected according to the detection of multiple interactive spaces at the same time;

[0105] In the specific implementation process of the present invention, the specific steps may be:

[0106] S131: Collect multiple interactive spaces;

[0107] S132: triggering detection at the same time based on multiple interaction spaces;

[0108] S133: determining a plurality of environment spaces according to the detection of the plurality of interaction spaces at the same time, each interaction space matching an environment space;

[0109] S134: forming a plurality of sub-environmental spaces based on the division of each environmental space;

[0110] S135: Collect multiple environmental parameters based on the detection of multiple sub-environmental spaces, and determine the environmental parameters of the environmental space based on the multiple environmental parameters, the locations of the environmental parameters and the spatial areas of the sub-environmental spaces, and form indoor environmental parameter combinations of each interactive space based on the environmental parameters of the multiple environmental spaces.

[0111] In an embodiment of the present application, multiple interaction spaces are collected and managed, so that detection is triggered at the same time based on the multiple interaction spaces, ensuring that the multiple interaction spaces are synchronously detected at the same time, thereby ensuring the detection efficiency of the multiple interaction spaces.

[0112] Furthermore, multiple environmental spaces are determined based on the detection of multiple interactive spaces at the same time, and each interactive space matches an environmental space, so that multiple environmental spaces are introduced, so as to manage and control the multiple environmental spaces, and then form multiple sub-environmental spaces based on the division of each environmental space. The corresponding environmental space is introduced through the management and control of multiple interactive spaces, thereby realizing environmental management of the environmental space and making full use of the detection of multiple sub-environmental spaces.

[0113] Therefore, multiple environmental parameters are collected based on the detection of multiple sub-environmental spaces, and the environmental parameters of the environmental space are determined based on the multiple environmental parameters, the location of the environmental parameters, and the spatial area of ​​the sub-environmental space, which is compatible with the overall consideration of multiple environmental parameters, the location of the environmental parameters, and the spatial area of ​​the sub-environmental space, and realizes the multi-dimensional control of multiple environmental parameters, the location of the environmental parameters, and the spatial area of ​​the sub-environmental space, ensuring the accuracy of the environmental parameters of the environmental space. At the same time, according to the environmental parameters of multiple environmental spaces, the indoor environmental parameter combination of each interactive space is formed, and the corresponding indoor environmental parameter combination is introduced into an interactive space, which ensures the integrity of the interactive space, and presents the overall environmental state of the interactive space through the indoor environmental parameter combination.

[0114] refer to Figure 5 , S14: determining corresponding indoor scene features based on the identification of each indoor environment parameter combination;

[0115] In the specific implementation process of the present invention, the specific steps may be:

[0116] S141: freeze various indoor environment parameter combinations;

[0117] S142: Associating various indoor environmental parameter combinations with a combination recognition model. At this time, the combination recognition model is trained based on data of previous environmental parameter combinations;

[0118] S143: triggering dynamic recognition based on various indoor environmental parameter combinations and the combined recognition model, and outputting corresponding environmental features in the dynamic recognition;

[0119] S144: Determine corresponding indoor scene features according to a plurality of environmental features, positions corresponding to the environmental features, and functions of corresponding indoor smart devices.

[0120] In an embodiment of the present application, an indoor smart device cluster is determined based on device traversal in the indoor space; multiple interactive spaces are matched according to the indoor smart device cluster, the corresponding position and the space division learning model; the indoor environmental parameter combination of each interactive space is collected based on the detection of multiple interactive spaces at the same time; the corresponding indoor scene characteristics are determined based on the identification of each indoor environmental parameter combination, which is compatible with the synchronous compatibility of multiple interactive spaces and the identification of each indoor environmental parameter combination, realizes multi-dimensional control of indoor scene characteristics, and ensures the accuracy of indoor scene characteristics.

[0121] At this time, each indoor environmental parameter combination is frozen and introduced, thereby associating each indoor environmental parameter combination and the combination recognition model. At this time, the combination recognition model is trained based on the data of previous environmental parameter combinations, and recognizes each indoor environmental parameter combination and the combination recognition model.

[0122] Therefore, dynamic recognition is triggered based on the combination of various indoor environmental parameters and the combined recognition model, and the corresponding environmental features are output in the dynamic recognition; the corresponding indoor scene features are determined according to multiple environmental features, the positions corresponding to the environmental features, and the functions of the corresponding indoor smart devices, which is compatible with the overall consideration of multiple environmental features, the positions corresponding to the environmental features, and the functions of the corresponding indoor smart devices, and realizes multi-dimensional control of multiple environmental features, the positions corresponding to the environmental features, and the functions of the corresponding indoor smart devices, thereby ensuring the accuracy of the indoor scene features.

[0123] refer to Figure 6 , S15: in the indoor space, construct a multi-dimensional parameter set according to multiple indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and determine the indoor scene of the indoor space according to the multi-dimensional parameter set;

[0124] In the specific implementation process of the present invention, the specific steps may be:

[0125] S151: In this indoor space, multiple interactive spaces are framed;

[0126] S152: Associating multiple indoor scene features, the areas of corresponding interactive spaces, and the relative positions of the interactive spaces;

[0127] S153: determining primary dimension parameters according to multiple indoor scene features and the area of ​​the corresponding interactive space;

[0128] S154: determining a plurality of multi-level dimension parameters according to a plurality of indoor scene features and relative positions of each interactive space;

[0129] S155: determining a multi-dimensional parameter set according to multiple interactions of the multiple complex-level dimensional parameters and the primary-level dimensional parameters;

[0130] S156: Determine an indoor scene of the indoor space according to the multi-dimensional parameter set, the indoor space, and the distribution of each indoor smart device.

[0131] In an embodiment of the present application, in the indoor space, multiple interactive spaces are frozen, and management and control are performed on the multiple interactive spaces. At the same time, multiple indoor scene features, the corresponding areas of the interactive spaces, and the relative positions of the interactive spaces are associated, and multiple indoor scene features, the corresponding areas of the interactive spaces, and the relative positions of the interactive spaces are introduced. Multiple interactions are performed on the multiple indoor scene features, the corresponding areas of the interactive spaces, and the relative positions of the interactive spaces, so as to fully accommodate the overall consideration of multiple indoor scene features, the corresponding areas of the interactive spaces, and the relative positions of the interactive spaces.

[0132] Furthermore, primary dimensional parameters are determined according to multiple indoor scene features and the corresponding areas of interactive spaces. Multiple indoor scene features and the corresponding areas of interactive spaces are introduced, and multi-dimensional control of multiple indoor scene features and the corresponding areas of interactive spaces is achieved, thereby ensuring the accuracy of primary dimensional parameters.

[0133] At the same time, multiple complex-dimensional parameters are determined according to multiple indoor scene characteristics and the relative positions of each interactive space. Multiple indoor scene characteristics and the relative positions of each interactive space are introduced, and multi-dimensional control is performed on multiple indoor scene characteristics and the relative positions of each interactive space to ensure the rationality and accuracy of multiple complex-dimensional parameters, and then multiple complex-dimensional parameters and primary-dimensional parameters are considered as a whole.

[0134] Therefore, a multidimensional parameter set is determined according to multiple interactions between multiple complex-dimensional parameters and primary-dimensional parameters, multiple complex-dimensional parameters and primary-dimensional parameters are introduced, multiple interactions are performed on the multiple complex-dimensional parameters and primary-dimensional parameters, and the primary-dimensional parameters are multi-dimensionally controlled by multiple complex-dimensional parameters, thereby ensuring the accuracy of the multidimensional parameter set. At the same time, the indoor scene of the indoor space is determined according to the distribution of the multidimensional parameter set, the indoor space and each indoor smart device, and the distribution of the multidimensional parameter set, the indoor space and each indoor smart device is controlled as a whole, thereby ensuring the accuracy of the indoor scene of the indoor space.

[0135] refer to Figure 7 , S16: monitor the indoor scene of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scene, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of the multiple indoor tasks, the corresponding indoor smart devices and the task progress model;

[0136] In the specific implementation process of the present invention, the specific steps may be:

[0137] S161: locating an indoor scene of an indoor space, and performing real-time monitoring of the indoor scene of the indoor space;

[0138] S162: defining a task space based on tracing the indoor space, and collecting a task set that matches the indoor space according to traversing the task space;

[0139] S163: Associating the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scenes; at this time, matching the corresponding task priorities based on the type of indoor scene, the load of the indoor scene and the current time;

[0140] S164: Determine the execution order of the multiple indoor tasks according to the task set matched by the indoor space, the multiple interactive spaces, and the task priorities corresponding to the indoor scenes;

[0141] S165: Determine a first adjustment performance parameter based on the execution order of the multiple indoor tasks and the corresponding indoor smart devices; determine a second adjustment performance parameter based on the execution order of the multiple indoor tasks and the task progress model;

[0142] S166: Associating the second adjustment performance parameter, the first adjustment performance parameter and multiple indoor smart devices, determining an autonomous adjustment model according to the second adjustment performance parameter, the first adjustment performance parameter and the multiple indoor smart devices, and triggering autonomous adjustment of the multiple indoor smart devices according to the autonomous adjustment model.

[0143] In the specific implementation process of the present invention, in the indoor space, a multidimensional parameter set is constructed according to multiple indoor scene features, the areas of corresponding interactive spaces and the relative positions of each interactive space, and the indoor scene of the indoor space is determined according to the multidimensional parameter set; the indoor scene of the indoor space is monitored in real time, and the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scene, and the autonomous adjustment of multiple indoor intelligent devices is triggered based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices and the task progress model, thereby ensuring the autonomous allocation of multiple indoor intelligent devices to each indoor task in the indoor space, and being able to perform work allocation in a collaborative form to trigger the autonomous adjustment of multiple indoor intelligent devices, thereby realizing the reasonable allocation of the functions and work progress of multiple indoor tasks to multiple indoor intelligent devices, and ensuring the scene control effect of the indoor space.

[0144] At this time, the indoor scene of the indoor space is located, and the indoor scene of the indoor space is monitored in real time, so as to further control the changes of the indoor scene of the indoor space, thereby dynamically controlling the update of the indoor scene of the indoor space, so as to adjust the collaborative work of multiple indoor smart devices according to the dynamic changes of the indoor scene of the indoor space.

[0145] Furthermore, a task space is defined based on the tracing of the indoor space, and a task set matching the indoor space is collected according to the traversal of the task space, thereby introducing a task set to facilitate further processing of the task set.

[0146] Therefore, the task set matched by the associated indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes are matched; at this time, the task priorities corresponding to the types of indoor scenes, the load of indoor scenes and the current time are matched, which is compatible with the overall consideration of the types of indoor scenes, the load of indoor scenes and the current time, and realizes the multi-dimensional matching of the types of indoor scenes, the load of indoor scenes and the current time, ensuring the accuracy of task priorities.

[0147] Furthermore, the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scenes, and the execution order of the multiple indoor tasks is further controlled. Multiple interactions are performed by the task set matched by the indoor space, the multiple interactive spaces and the task priorities corresponding to the indoor scenes, so as to ensure the rationality of the execution order of the multiple indoor tasks.

[0148] Therefore, a first adjustment performance parameter is determined based on the execution order of multiple indoor tasks and the corresponding indoor smart devices; a second adjustment performance parameter is determined according to the execution order of multiple indoor tasks and a task progress model; the second adjustment performance parameter, the first adjustment performance parameter and multiple indoor smart devices are associated, and an autonomous adjustment model is determined according to the second adjustment performance parameter, the first adjustment performance parameter and multiple indoor smart devices, and autonomous adjustment of multiple indoor smart devices is triggered according to the autonomous adjustment model, thereby ensuring the autonomous allocation of each indoor task by multiple indoor smart devices in the indoor space, and being able to distribute work in a collaborative form to trigger autonomous adjustment of multiple indoor smart devices, thereby achieving a reasonable allocation of the functions and work progress of multiple indoor tasks to multiple indoor smart devices, and ensuring the scene control effect of the indoor space.

[0149] In an embodiment of the present invention, through the method in the embodiment of the present invention, an indoor smart device cluster is determined based on the device traversal of the indoor space; multiple interactive spaces are matched according to the indoor smart device cluster, the corresponding position and the space division learning model; the indoor environmental parameter combination of each interactive space is collected according to the detection of multiple interactive spaces at the same time; the corresponding indoor scene characteristics are determined based on the identification of each indoor environmental parameter combination, which is compatible with the synchronous compatibility of multiple interactive spaces and the identification of each indoor environmental parameter combination, realizes multi-dimensional control of indoor scene characteristics, and ensures the accuracy of indoor scene characteristics.

[0150] Furthermore, in the indoor space, a multidimensional parameter set is constructed according to the characteristics of multiple indoor scenes, the areas of corresponding interactive spaces, and the relative positions of each interactive space, and the indoor scene of the indoor space is determined according to the multidimensional parameter set; the indoor scene of the indoor space is monitored in real time, and the execution order of multiple indoor tasks is determined according to the task set matched by the indoor space, the multiple interactive spaces, and the task priorities corresponding to the indoor scene, and the autonomous adjustment of multiple indoor intelligent devices is triggered based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices, and the task progress model, thereby ensuring the autonomous allocation of multiple indoor intelligent devices to each indoor task in the indoor space, and being able to perform work allocation in a collaborative form to trigger the autonomous adjustment of multiple indoor intelligent devices, thereby realizing the reasonable allocation of the functions and work progress of multiple indoor tasks to multiple indoor intelligent devices, and ensuring the scene control effect of the indoor space.

[0151] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of the scene control system of the indoor space in the embodiment of the present invention.

[0152] like Figure 8 As shown, a scene control system for an indoor space, the scene control system for the indoor space comprises:

[0153] A cluster module 21, used to determine indoor smart device clusters based on device traversal in the indoor space;

[0154] An interactive space module 22, for matching multiple interactive spaces according to indoor smart device clusters, corresponding locations, and a spatial partition learning model;

[0155] An indoor environment module 23, used to collect indoor environment parameter combinations of each interactive space according to the detection of multiple interactive spaces at the same time;

[0156] A feature module 24, configured to determine corresponding indoor scene features based on the identification of each indoor environment parameter combination;

[0157] An indoor scene module 25 is used to construct a multi-dimensional parameter set in the indoor space according to a plurality of indoor scene features, the area of ​​the corresponding interactive space and the relative position of each interactive space, and determine the indoor scene of the indoor space according to the multi-dimensional parameter set;

[0158] The adjustment module 26 is used to monitor the indoor scene of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scene, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of multiple indoor tasks, the corresponding indoor smart devices and the task progress model.

[0159] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0160] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0161] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0162] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0163] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0164] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0165] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0166] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a multi-parameter sensor device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0167] Those skilled in the art can understand that all or some of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0168] In addition, the scene control method and system for the indoor space provided by the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. For those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A scene control method for an indoor space, characterized in that: Scenes applied to indoor spaces control indoor scenes; The scene control method of the indoor space comprises: Determine indoor smart device clusters based on device traversal in indoor space; Match multiple interactive spaces based on indoor smart device clusters, corresponding locations, and space division learning models; Collecting indoor environment parameter combinations of each interactive space based on detection of multiple interactive spaces at the same time; Determine the corresponding indoor scene features based on the recognition of each indoor environment parameter combination; In the indoor space, a multi-dimensional parameter set is constructed according to a plurality of indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and an indoor scene of the indoor space is determined according to the multi-dimensional parameter set; Monitor the indoor scenes of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of multiple indoor tasks, the corresponding indoor smart devices and the task progress model; The method of real-time monitoring the indoor scene of the indoor space, determining the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scene, and triggering the autonomous adjustment of multiple indoor intelligent devices based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices and the task progress model, includes: locating the indoor scene of the indoor space, and monitoring the indoor scene of the indoor space in real time; defining the task space based on the tracing of the indoor space, and collecting the task set matched by the indoor space according to the traversal of the task space; associating the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scene; at this time, based on the type of indoor scene The method comprises the following steps: determining the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes; determining the first adjustment performance parameter based on the execution order of multiple indoor tasks and the corresponding indoor smart devices; determining the second adjustment performance parameter according to the execution order of multiple indoor tasks and the task progress model; associating the second adjustment performance parameter, the first adjustment performance parameter and the multiple indoor smart devices, determining the autonomous adjustment model according to the second adjustment performance parameter, the first adjustment performance parameter and the multiple indoor smart devices, and triggering the autonomous adjustment of the multiple indoor smart devices according to the autonomous adjustment model.

2. The scene control method for indoor space according to claim 1, characterized in that: The determining of the indoor smart device cluster based on the device traversal of the indoor space includes: Collecting the location of the indoor space, and determining the layout of the indoor space based on the positioning detection of the location of the indoor space; Determine the equipment traversal mode according to the layout and area of ​​the indoor space; Associating the indoor space and the device traversal mode; Determine a plurality of indoor smart devices according to the indoor space and the device traversal pattern, wherein the plurality of indoor smart devices are distributed at different locations in the indoor space; An indoor smart device cluster is determined according to the multiple indoor smart devices, the locations of the multiple indoor smart devices, and the layout of the indoor space.

3. The scene control method for indoor space according to claim 2, characterized in that: The learning model matches multiple interactive spaces according to the indoor smart device cluster, the corresponding position and the space division, including: Freeze the indoor smart device cluster; Divide multiple indoor smart device combinations based on indoor smart device clusters and work dimensions; Associating multiple indoor smart device combinations, corresponding locations, and space division learning models; Determine a first space parameter based on a combination of multiple indoor smart devices and corresponding positions; Determine the second space parameter based on the combination of multiple indoor smart devices and the space division learning model, where the space division learning model is trained based on previous space data; The first space parameter, the second space parameter and the indoor space are associated to match multiple interactive spaces. In the same interactive space, various indoor smart devices dynamically interact with each other and work together based on indoor tasks.

4. The scene control method for indoor space according to claim 3, characterized in that: The collecting of indoor environment parameter combinations of each interactive space according to the detection of multiple interactive spaces at the same time includes: Collect multiple interactive spaces; Trigger detection at the same time based on multiple interaction spaces; Determine multiple environmental spaces based on the detection of multiple interactive spaces at the same time, and each interactive space matches an environmental space; Based on the division of each environmental space, multiple sub-environmental spaces are formed; Multiple environmental parameters are collected based on the detection of multiple sub-environmental spaces, and the environmental parameters of the environmental space are determined based on the multiple environmental parameters, the locations of the environmental parameters and the spatial areas of the sub-environmental spaces. A combination of indoor environmental parameters of each interactive space is formed based on the environmental parameters of the multiple environmental spaces.

5. The scene control method for indoor space according to claim 4, characterized in that: The determining of the corresponding indoor scene features based on the identification of each indoor environment parameter combination includes: Freeze various indoor environmental parameter combinations; Associating various indoor environmental parameter combinations with a combination recognition model, wherein the combination recognition model is trained based on data of previous environmental parameter combinations; Trigger dynamic recognition based on various indoor environmental parameter combinations and combined recognition models, and output corresponding environmental features in dynamic recognition; The corresponding indoor scene features are determined according to a plurality of environmental features, positions corresponding to the environmental features, and functions of corresponding indoor smart devices.

6. The scene control method for indoor space according to claim 5, characterized in that: In the indoor space, a multi-dimensional parameter set is constructed according to a plurality of indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and an indoor scene of the indoor space is determined according to the multi-dimensional parameter set, including: In this interior space, multiple interactive spaces are framed; Associating multiple indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space; Determine primary dimension parameters according to multiple indoor scene features and the area of ​​the corresponding interactive space; A plurality of complex dimensional parameters are determined according to a plurality of indoor scene features and the relative positions of each interactive space.

7. The scene control method of indoor space according to claim 6, characterized in that: In the indoor space, a multi-dimensional parameter set is constructed according to a plurality of indoor scene features, the area of ​​the corresponding interactive space, and the relative position of each interactive space, and an indoor scene of the indoor space is determined according to the multi-dimensional parameter set, further comprising: Determining a multi-dimensional parameter set according to multiple interactions of multiple complex-level dimensional parameters and primary-level dimensional parameters; The indoor scene of the indoor space is determined according to the multi-dimensional parameter set, the indoor space and the distribution of each indoor smart device.

8. A scene control system for an indoor space, characterized in that: The scene control system of the indoor space is applied to the scene control method of the indoor space as claimed in any one of claims 1 to 7, and the scene control system of the indoor space includes: A clustering module, used to determine indoor smart device clusters based on device traversal in the indoor space; The interactive space module is used to match multiple interactive spaces according to the indoor smart device clusters, corresponding locations, and space division learning models; An indoor environment module, used to collect indoor environment parameter combinations of each interactive space based on the detection of multiple interactive spaces at the same time; A feature module, used to determine corresponding indoor scene features based on the recognition of each indoor environment parameter combination; An indoor scene module, used to construct a multi-dimensional parameter set in the indoor space according to multiple indoor scene features, the area of ​​the corresponding interactive space and the relative position of each interactive space, and determine the indoor scene of the indoor space according to the multi-dimensional parameter set; An adjustment module is used to monitor the indoor scenes of the indoor space in real time, determine the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes, and trigger the autonomous adjustment of multiple indoor smart devices based on the execution order of multiple indoor tasks, the corresponding indoor smart devices and the task progress model; The method of real-time monitoring the indoor scene of the indoor space, determining the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scene, and triggering the autonomous adjustment of multiple indoor intelligent devices based on the execution order of multiple indoor tasks, the corresponding indoor intelligent devices and the task progress model, includes: locating the indoor scene of the indoor space, and monitoring the indoor scene of the indoor space in real time; defining the task space based on the tracing of the indoor space, and collecting the task set matched by the indoor space according to the traversal of the task space; associating the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scene; at this time, based on the type of indoor scene The method comprises the following steps: determining the execution order of multiple indoor tasks according to the task set matched by the indoor space, multiple interactive spaces and the task priorities corresponding to the indoor scenes; determining the first adjustment performance parameter based on the execution order of multiple indoor tasks and the corresponding indoor smart devices; determining the second adjustment performance parameter according to the execution order of multiple indoor tasks and the task progress model; associating the second adjustment performance parameter, the first adjustment performance parameter and the multiple indoor smart devices, determining the autonomous adjustment model according to the second adjustment performance parameter, the first adjustment performance parameter and the multiple indoor smart devices, and triggering the autonomous adjustment of the multiple indoor smart devices according to the autonomous adjustment model.

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