A digital home AI central control system

Abstract

The application discloses a digital home AI central control system and belongs to the technical field of big data analysis; the technical problem of poor initiative understanding effect and poor autonomous selection effect of different users in different aspects before installing and using the digital home AI central control system in the prior art is solved; the digital home central control demand of the user is processed and matched, first sample central control equipment matching data or second sample central control equipment matching data corresponding to different demand equipment of the user is obtained, a number of first sample central control equipment matching data or second sample central control equipment matching data obtained by processing the user in advance is subjected to screening analysis of a collaborative reliable state, whether the demand matching of a sample central control equipment set prompted by a device matching sequence set obtained through screening analysis is effective is determined, and all effective matching sample central control equipment subjected to screening analysis is dynamically pushed to the user, so that the digital home central control demand of different users is actively pushed in a diversified manner.

Description

Technical Field

[0001] This invention relates to the field of big data analytics, specifically to a digital home AI central control system. Background Technology

[0002] Digital home AI central control typically refers to the core control device or platform in a smart home system. It uses artificial intelligence technology to integrate and manage various smart devices and services in the home. Through such a central hub, users can achieve intelligent control and automated operation of various home devices such as lighting, temperature, security systems, and entertainment systems.

[0003] Existing digital home AI central control systems suffer from barriers in data processing and sharing during implementation. They cannot comprehensively collect and process usage data from different digital home central control systems, nor can they automatically process and analyze the corresponding data and automatically match it with the user's actual needs. This results in poor proactive understanding and self-selection by different users before installing and using the digital home AI central control system. Summary of the Invention

[0004] The purpose of this invention is to provide a digital home AI central control system to solve the technical problems in existing solutions where different users have poor proactive understanding and self-selection effects before installing and using the digital home AI central control system.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A digital home AI central control system includes a user demand acquisition and processing module, which is used to acquire the user's digital home central control demand and perform matching analysis with a sample central control device set to obtain first sample central control device matching data or second sample central control device matching data corresponding to different user demand devices;

[0007] The user demand screening and analysis module is used to perform collaborative reliability status screening and analysis on several first sample central control device matching data or second sample central control device matching data obtained by the user to obtain the device matching sequence set corresponding to the user's digital home central control needs;

[0008] The user demand push notification module is used to prompt whether the demand matching of the control equipment set in the sample is valid based on the equipment matching sequence set obtained by screening and analysis, and dynamically push all valid matching control equipment in the sample to the user.

[0009] Preferably, the user's digital home control requirements and a number of required devices are obtained;

[0010] Based on the digital home central control requirements, high-demand commands or regular demand commands are generated for the user. Then, based on the high-demand commands or regular demand commands, the user's several demand devices are sequentially matched with several sample central control devices in the sample central control device set to obtain the first sample central control device matching data for high-demand commands corresponding to different demand devices, or the second sample central control device matching data for regular demand commands.

[0011] Preferably, the matching data of all sample central control devices obtained by matching several user-required devices are numbered and marked, and according to the order of the numbers, several sample central control devices in the first-ranked sample central control device matching data are sequentially matched with several sample central control devices in the second-ranked sample central control device matching data to perform a screening analysis of their collaborative reliability status, thereby obtaining the first device matching sequence set corresponding to the second-ranked sample central control device matching data.

[0012] Preferably, if the reliable collaborative identifier between two sample control devices in the sorted sample control device matching data is k, where k is 0 or 1, then both sample control devices are marked as valid matching sample control devices, and the marked valid matching sample control devices are sorted and combined according to the number order to obtain the first device matching sequence;

[0013] If the collaborative reliability identifier between two sample control devices in the sorted sample control device matching data is not k, then both sample control devices are marked as invalid matching sample control devices.

[0014] All the first device matching sequences obtained from the processing are sorted and combined to obtain the first device matching sequence set corresponding to the control device matching data of the second-ranked sample.

[0015] Preferably, all the first device matching sequences in the first device matching sequence set are sequentially compared with several sample central control devices in the third-ranked sample central control device matching data to perform a screening analysis of their collaborative reliability status, thereby obtaining the second device matching sequence set corresponding to the third-ranked sample central control device matching data.

[0016] Preferably, if the cooperative reliability identifier between the control device in the valid matching sample in the first device matching sequence and the control device in the sample is k, then the control device in the sample is marked as a valid matching sample control device, and it is filled into the matching first device matching sequence, and the filled first device matching sequence is marked as the second device matching sequence;

[0017] If the cooperative reliability identifier between the control device in the valid matching sample in the first device matching sequence and the control device in the sample is not k, then the control device in the sample is marked as an invalid matching sample control device;

[0018] All the second device matching sequences obtained from the processing are sorted and combined to obtain the second device matching sequence set corresponding to the control device matching data of the third sample.

[0019] Preferably, the control equipment matching data of the Nth sample is used to perform a collaborative reliability status screening analysis on the previously obtained equipment matching sequence set to obtain the (N-1)th equipment matching sequence set corresponding to the control equipment matching data of the Nth sample; N is a positive integer.

[0020] Preferably, the N-1th device matching sequence set is traversed and analyzed. If the N-1th device matching sequence set contains an N-1th device matching sequence, it indicates that the demand matching of the sample control device set is completely valid, and all valid matching sample control devices in the existing N-1th device matching sequence are pushed to the user for active selection.

[0021] If there is no matching sequence for the N-1th device in the matching sequence set, the system will indicate that the required matching part of the sample control device set is valid, and the existing matching sequences and the sample control device set will be pushed to the user for passive selection.

[0022] Compared to existing solutions, the beneficial effects achieved by this invention are:

[0023] This invention processes and matches users' digital home control needs to obtain first sample control device matching data or second sample control device matching data corresponding to different user needs. This can provide reliable data support for subsequent collaborative reliability status analysis of different sample control devices for user needs.

[0024] This invention achieves automated screening and analysis of different sample central control devices obtained from user needs by performing collaborative and reliable state screening analysis on several first sample central control device matching data or second sample central control device matching data obtained in the early stage of user processing. It obtains a set of device matching sequences corresponding to the user's digital home central control needs, which can provide reliable data support for dynamically pushing effective matching sample central control devices that match the user's needs in subsequent users.

[0025] This invention uses the device matching sequence set obtained through screening and analysis to indicate whether the demand matching of the sample central control device set is valid, and dynamically pushes all valid matching sample central control devices to users. This enables diversified and proactive push of digital home central control needs to different users, improving the proactive understanding and self-selection of different aspects of different users before installing and using the digital home central control system. Attached Figure Description

[0026] The invention will now be further described with reference to the accompanying drawings.

[0027] Figure 1 This is a flowchart illustrating the operation of a digital home AI central control system according to the present invention.

[0028] Figure 2 This is a block diagram of a digital home AI central control system according to the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] Example 1, such as Figure 1 as well as Figure 2 As shown, the present invention is a digital home AI central control system, comprising:

[0031] The user demand acquisition and processing module is used to acquire users' digital home control needs and perform matching analysis with a sample set of control devices to obtain either first sample control device matching data or second sample control device matching data corresponding to different user needs; including:

[0032] Obtain the user's digital home control requirements and a list of required devices;

[0033] Among them, the demand for digital home central control includes high demand or regular demand, and users can choose the corresponding demand type themselves.

[0034] The required devices refer to furniture devices that can be automatically controlled through a digital home control center, specifically including but not limited to smart door locks, smart lighting, smart curtains, smart air conditioners, and smart fresh air systems;

[0035] Based on the digital home central control requirements, generate high-demand commands or regular demand commands for the user, and sequentially match the user's several demand devices with several sample central control devices in the sample central control device set according to the high-demand commands or regular demand commands to obtain the first sample central control device matching data for high-demand commands corresponding to different demand devices, or the second sample central control device matching data for regular demand commands.

[0036] It should be noted that the sample control device set is pre-set with several sample control device subsets of different demand types; for example, smart door locks correspond to high demand sample control device subsets and regular demand sample control device subsets; both the high demand sample control device subset and the regular demand sample control device subset are pre-set with several sample control devices, and the number of sample control devices is greater than or equal to 1.

[0037] The specific brands and models of several sample central control devices set in the sample central control device subsets for different needs can be classified by professionals in this field in combination with the device parameter data and operation and maintenance data of the digital home central control system already in use. The specific classification details and content are not limited and can be customized according to the application needs of the actual application scenario.

[0038] In this embodiment of the invention, by processing and matching the user's digital home control needs, the first sample control device matching data or the second sample control device matching data corresponding to the user's different needs can be obtained, which can provide reliable data support for the subsequent collaborative reliability status analysis of different sample control devices for user needs.

[0039] The user demand screening and analysis module is used to perform collaborative reliability status screening and analysis on several first-sample or second-sample central control device matching data obtained by the user, to obtain a set of device matching sequences corresponding to the user's digital home central control needs; including:

[0040] All sample central control device matching data obtained by matching several user-required devices are numbered and marked. The numbering rules are not limited. The sample central control device matching data is the first sample central control device matching data or the second sample central control device matching data corresponding to different user-required devices. According to the order of the numbers, several sample central control devices in the first sample central control device matching data are sequentially matched with several sample central control devices in the second sample central control device matching data to perform collaborative reliability status screening analysis.

[0041] If the reliable collaborative identifier between two sample control devices in the sorted sample control device matching data is k, where k is 0 or 1, and the user's demand type is high demand, then k is 0; if the user's demand type is regular demand, then k is 1. In this case, both sample control devices are marked as valid matching sample control devices, and the marked valid matching sample control devices are sorted and combined according to the number order to obtain the first device matching sequence.

[0042] It should be explained that different sample control devices are configured with corresponding collaborative reliability flags based on whether they are working together. Specifically, if sample control device A and sample control device B are working together, their collaborative reliability flags are set to 0 or 1.

[0043] For example, sample control device A is a smart door lock, and sample control device B is a smart light fixture; when a user opens the smart door lock to enter the home, the smart light fixture turns on simultaneously without the user having to operate it manually, thus realizing the collaborative work of the smart door lock and the smart light fixture;

[0044] Among them, a collaborative reliability indicator with a value of 0 indicates that the collaborative operation between sample central control device A and sample central control device B is completely reliable, corresponding to the user's high demand. The complete reliability of collaborative operation can be determined based on the historical collaborative operation data between sample central control device A and sample central control device B, such as the historical collaborative operation data being all normal. The historical collaborative operation data can specifically be collaborative communication status indicators and collaborative response processing indicators. The collaborative communication status indicators and collaborative response processing indicators correspond to the judgment criteria for normal operation, which can be determined based on the actual equipment operation design requirements data.

[0045] In addition, a collaborative reliability indicator with a value of 1 indicates that the collaborative operation between sample control device A and sample control device B is reliable. Corresponding to the user's regular needs, the reliability of the collaborative operation can be determined based on the historical collaborative operation data between sample control device A and sample control device B. For example, if there are anomalies in the historical collaborative operation data, such as delays in the collaborative response processing during the historical collaborative operation between sample control device A and sample control device B.

[0046] Furthermore, if there is no collaborative work between sample control device A and sample control device B, then the collaborative reliability flag between them is set to empty;

[0047] If the collaborative reliability identifier between two sample control devices in the sorted sample control device matching data is not k, then both sample control devices are marked as invalid matching sample control devices.

[0048] All the first device matching sequences obtained from the processing are sorted and combined to obtain the first device matching sequence set corresponding to the control device matching data of the second sample.

[0049] It is understandable that the sample control device in the first-ranked sample control device matching data can be matched with multiple sample control devices in the second-ranked sample control device matching data, that is, corresponding to multiple first device matching sequences;

[0050] In addition, the first device matching sequence set is used to perform a collaborative reliability status screening analysis on all first device matching sequences in the first device matching sequence set and several sample control devices in the third-ranked sample control device matching data.

[0051] If the cooperative reliability identifier between the control device in the valid matching sample in the first device matching sequence and the control device in the sample is k, then the control device in the sample is marked as a valid matching sample control device, and it is filled into the matching first device matching sequence. The filled first device matching sequence is then marked as the second device matching sequence.

[0052] It should be noted that, in the embodiments of the present invention, the control devices of the valid matching samples in the first device matching sequence are connected in series and work together. That is, only one control device of the valid matching sample in the first device matching sequence works together with the control device of the sample in the third-ranked sample matching data.

[0053] If there is parallel collaborative work, that is, the control device in the valid matching sample in the first device matching sequence and the control device in the third sample matching data all work collaboratively, then the collaborative reliability identifier between the control device in the valid matching sample in the first device matching sequence and the sample control device is required to be k.

[0054] If the cooperative reliability identifier between the control device in the valid matching sample in the first device matching sequence is not k, or if there is only one cooperative reliability identifier that is not k when there is parallel cooperative work, then the control device in the sample is marked as an invalid matching sample control device.

[0055] It is worth noting that, in the screening and analysis of all control devices in the matching data of the effective matching sample control device in the first device matching sequence and the third-ranked control device, if all control devices in the screening and analysis results are marked as invalid matching control devices, then the third-ranked control device matching data is marked as abnormal control device matching data, and the subset of control devices in the control device set to which the abnormal control device matching data belongs is marked as an abnormal sample subset. Furthermore, the screening and analysis of all control devices in the subsequent control device matching data is stopped to avoid wasting data resources due to subsequent invalid screening and analysis.

[0056] All the second device matching sequences obtained from the processing are sorted and combined to obtain the second device matching sequence set corresponding to the control device matching data of the third sample.

[0057] Using the matching data of the control equipment in the Nth sample, a collaborative reliability status screening analysis is performed on the previously obtained equipment matching sequence set. That is, the above collaborative reliability status screening analysis scheme is repeated to obtain the N-1th equipment matching sequence set corresponding to the matching data of the control equipment in the Nth sample; N is a positive integer.

[0058] In this embodiment of the invention, by performing a collaborative and reliable state screening analysis on several first sample central control device matching data or second sample central control device matching data obtained from the user's previous processing, the system achieves automated screening analysis of different sample central control devices obtained from matching user needs, and obtains a set of device matching sequences corresponding to the user's digital home central control needs. This provides reliable data support for dynamically pushing effective matching sample central control devices that match the user's needs to the user in the future.

[0059] The user demand push notification module is used to indicate whether the demand matching of the control equipment set in the sample is valid based on the device matching sequence set obtained from the screening analysis, and to dynamically push all valid matching control equipment in the screening analysis sample to the user; including:

[0060] The N-1th device matching sequence set is traversed and analyzed. If the N-1th device matching sequence set exists, it indicates that the demand matching of the sample central control device set is completely valid, and all valid matching sample central control devices in the existing N-1th device matching sequence are pushed to the user for active selection.

[0061] If there is no matching sequence for the N-1th device in the matching sequence set, the system will indicate that the required matching part of the sample control device set is valid, and the existing matching sequences and the sample control device set will be pushed to the user for passive selection.

[0062] In this embodiment of the invention, the system prompts whether the matching of the required control device set of the sample central control device set is valid based on the device matching sequence set obtained by screening and analysis, and dynamically pushes all valid matching sample central control devices of the screening and analysis to the user. This realizes diversified and proactive push of digital home central control needs of different users, and improves the proactive understanding and autonomous selection effect of different users in different aspects before installing and using the digital home central control system.

[0063] Example 2, based on the technical solution of Example 1, further includes a sample data utilization monitoring module, used to proactively monitor and analyze the impact of abnormal matching on subsets of control equipment in different abnormal samples, and adaptively optimize and manage the subsets of control equipment in high-impact samples obtained from the analysis based on the analysis results; including:

[0064] Count the total number of times the control equipment subset is labeled in different abnormal samples, and then apply the formula sequentially. Calculate the abnormal matching value YP corresponding to the subset of control devices in the abnormal sample; where N1 and N2 are the total number of times the subset of control devices in the abnormal sample has been matched and the total number of times it has been marked, respectively; A is the abnormal matching warning value, which can be determined based on the design requirements data of the existing digital home control system, or based on the abnormal handling values ​​of all subsets of control devices in the abnormal sample. The median is used to determine the impact factor; α is the abnormal matching impact factor, determined by the formula... The calculation shows that N3 is the total number of valid matches for the high-demand matching portion corresponding to the control equipment subset in the abnormal samples.

[0065] It should be noted that the anomaly matching value is used to process and calculate the impact data of anomaly matching on the subset of control equipment in the marked anomaly samples, so as to digitally represent the corresponding anomaly matching impact; in addition, by performing data analysis on the anomaly matching value, the analysis results can be used to dynamically optimize and manage the subset of control equipment in different anomaly samples.

[0066] If the abnormal matching value is less than 0, the subset of control equipment in the abnormal sample is marked as the subset of control equipment in the low-impact sample;

[0067] Conversely, the subset of control devices in the abnormal samples is marked as the subset of control devices in the high-impact samples, and all control devices in the high-impact sample control device subset are subject to proactive optimization management for coordinated operation. Proactive optimization management for coordinated operation includes, but is not limited to, proactive maintenance and upgrades of the coordinated communication status indicators and coordinated response processing indicators of all control devices in the samples.

[0068] In this embodiment of the invention, by expanding the utilization of different abnormal sample control device subsets marked in the early stage, the abnormal matching impact corresponding to different abnormal sample control device subsets is digitally processed and analyzed. Based on the analysis results, the control device subsets of different abnormal samples are dynamically optimized and managed. This can improve the reliability and accuracy of different users' proactive understanding and autonomous selection before installing and using the digital home control system from the perspective of sample data.

[0069] In the several embodiments provided by this invention, it should be understood that the disclosed system can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative; for example, the division of modules is only a logical functional division, and there may be other division methods in actual implementation.

[0070] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0071] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or in the form of hardware plus software functional modules.

[0072] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A digital home AI central control system, characterized in that, The user demand obtaining processing module is used for obtaining the digital home control demand of the user, and performing matching analysis with the sample control equipment set to obtain the first sample control equipment matching data or the second sample control equipment matching data corresponding to the different demand equipment of the user; The digital home control demand of the user and the demand equipment are obtained. The high demand instruction or the regular demand instruction of the user is generated according to the digital home control demand, and the demand equipment of the user is sequentially matched with the sample control equipment in the sample control equipment set according to the high demand instruction or the regular demand instruction, so as to obtain the first sample control equipment matching data corresponding to the high demand instruction of the different demand equipment, or the second sample control equipment matching data corresponding to the regular demand instruction. The user demand screening analysis module is used for screening and analyzing the obtained first sample control equipment matching data or second sample control equipment matching data in a cooperative and reliable state to obtain the equipment matching sequence set corresponding to the digital home control demand of the user. If the cooperative and reliable identifier between the two sample control equipment in the sorted sample control equipment matching data is k, and k is 0 or 1, the two sample control equipment are marked as effective matching sample control equipment, and the effective matching sample control equipment is sorted and combined according to the number sequence to obtain the first equipment matching sequence. If the cooperative and reliable identifier between the two sample control equipment in the sorted sample control equipment matching data is not k, the two sample control equipment are marked as invalid matching sample control equipment. All the first equipment matching sequences obtained by processing are sorted and combined to obtain the first equipment matching sequence set corresponding to the sample control equipment matching data in the second place. If the cooperative and reliable identifier between the effective matching sample control equipment in the first equipment matching sequence and the sample control equipment is k, the sample control equipment is marked as effective matching sample control equipment, and is filled into the matched first equipment matching sequence, and the filled first equipment matching sequence is marked as the second equipment matching sequence. If the cooperative and reliable identifier between the effective matching sample control equipment in the first equipment matching sequence and the sample control equipment is not k, the sample control equipment is marked as invalid matching sample control equipment. All the second equipment matching sequences obtained by processing are sorted and combined to obtain the second equipment matching sequence set corresponding to the sample control equipment matching data in the third place. The user demand pushing prompt module is used for prompting whether the demand matching of the sample control equipment set is effective according to the equipment matching sequence set obtained by screening and analysis, and dynamically pushing all the effective matching sample control equipment of the user to the user. 2.The digital home AI central control system according to claim 1, wherein, The sample control equipment matching data obtained by matching the demand equipment of the user is numbered and marked, and the sample control equipment in the first sample control equipment matching data is sequentially matched with the sample control equipment in the second sample control equipment matching data according to the number sequence to obtain the first equipment matching sequence set corresponding to the second sample control equipment matching data. 3.The digital home AI control system of claim 1, wherein, All first device matching sequences in the first device matching sequence set are sequentially matched with a plurality of sample control devices in the third-ranked sample control device matching data for collaborative reliable state screening analysis, to obtain a second device matching sequence set corresponding to the third-ranked sample control device matching data.

4. The digital home AI central control system according to claim 1, characterized in that, The device matching sequence set obtained in the early stage is subjected to collaborative reliable state screening analysis by using the Nth-ranked sample control device matching data, to obtain an N-1 device matching sequence set corresponding to the Nth-ranked sample control device matching data; N is a positive integer.

5. The digital home AI central control system according to claim 4, characterized in that, The N-1 device matching sequence set is subjected to traversal analysis, if there is an N-1 device matching sequence in the N-1 device matching sequence set, it is prompted that the demand matching of the sample control device set is completely effective, and all effective matching sample control devices in the existing N-1 device matching sequence are pushed to the user for active selection; If there is no N-1 device matching sequence in the N-1 device matching sequence set, it is prompted that the demand matching of the sample control device set is partially effective, and the existing device matching sequence and the sample control device set are synchronously pushed to the user for passive selection.

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