Digital home AI central control system

Abstract

The invention discloses a digital home AI central control system, and belongs to the technical field of big data analysis. The method and the device are used for solving the technical problems of poor active understanding effect and poor autonomous selection effect in different aspects before different users install and use a digital home AI central control system in the existing scheme. Performing processing and matching analysis on the digital home central control demand of the user to obtain first sample central control equipment matching data or second sample central control equipment matching data corresponding to different demand equipment of the user; performing collaborative reliable state screening analysis on a plurality of first sample central control equipment matching data or second sample central control equipment matching data obtained by previous user processing, and prompting whether demand matching of a sample central control equipment set is effective or not according to an equipment matching sequence set obtained by screening analysis; and all the screened and analyzed effective matched sample central control devices are dynamically pushed to the users, so that diversified active pushing of digital home central control requirements of different users is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data analysis, and particularly relates to a digital home AI central control system. BACKGROUND

[0002] The digital home AI central control generally refers to the core control device or platform in the smart home system, which integrates and manages various smart devices and services in the home by using artificial intelligence technology. Through such a central hub, users can realize intelligent control and automatic operation of various home devices such as lighting, temperature, security systems, and entertainment systems.

[0003] The existing digital home AI central control system has a processing and sharing barrier for use data when implemented, cannot collect and process use data of different digital home central controls in all directions, and cannot automatically process and analyze defects corresponding to different use data and automatically match in combination with actual needs of users, resulting in poor active understanding and poor self-selection of different aspects of different users before installing and using the digital home AI central control system. SUMMARY

[0004] The present application relates to the technical field of big data analysis, and particularly relates to a digital home AI central control system.

[0005] The present application relates to the technical field of big data analysis, and particularly relates to a digital home AI central control system. A digital home AI central control system, comprising a user demand acquisition and processing module, configured to acquire digital home central control demands of a user 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 demand devices of the user; A user demand screening and analysis module, configured to perform screening and analysis of the reliability of the first sample central control device matching data or the second sample central control device matching data acquired by the user to obtain a device matching sequence set corresponding to the digital home central control demands of the user; A user demand push and prompt module, configured to prompt whether the demand matching of the sample central control device set is effective according to the device matching sequence set obtained by the screening and analysis, and dynamically push all effective matching sample central control devices of the screening and analysis to the user.

[0006] Preferably, the digital home central control demands of the user and a plurality of demand devices are acquired. According to the high demand instruction or the regular demand instruction of the user generated according to the demand of the digital home control, the several demand devices of the user are sequentially matched with the several sample central control devices in the sample central control device set to obtain the first sample central control device matching data of the high demand instruction corresponding to the different demand devices or the second sample central control device matching data of the regular demand instruction.

[0007] Preferably, the several demand devices of the user corresponding to the matching obtained all sample central control device matching data are numbered and marked, and the several sample central control devices in the first sample central control device matching data in the first place are sequentially matched with the several sample central control devices in the second sample central control device matching data in the second place for screening analysis of the cooperative reliable state to obtain the first device matching sequence set corresponding to the second sample central control device matching data.

[0008] Preferably, if the cooperative reliable identification between the two sample central control devices in the sorted sample central control device matching data is k, k is 0 or 1, then the two sample central control devices are marked as valid matching sample central control devices, and the marked valid matching sample central control devices are sorted and combined according to the number sequence to obtain the first device matching sequence. If the cooperative reliable identification between the two sample central control devices in the sorted sample central control device matching data is not k, then the two sample central control devices are marked as invalid matching sample central control devices. The sorted and combined all first device matching sequences obtained by processing are obtained to obtain the first device matching sequence set corresponding to the second sample central control device matching data.

[0009] Preferably, all first device matching sequences in the first device matching sequence set are sequentially matched with the several sample central control devices in the third sample central control device matching data for screening analysis of the cooperative reliable state to obtain the second device matching sequence set corresponding to the third sample central control device matching data.

[0010] Preferably, if the cooperative reliable identification between the valid matching sample central control device in the first device matching sequence and the sample central control device is k, then the sample central control device is marked as a valid matching sample central control device, and is filled into the matched first device matching sequence, and the filled first device matching sequence is marked as a second device matching sequence. If the cooperative reliable identification between the valid matching sample central control device in the first device matching sequence and the sample central control device is not k, then the sample central control device is marked as an invalid matching sample central control device. The sorted and combined all second device matching sequences obtained by processing are obtained to obtain the second device matching sequence set corresponding to the third sample central control device matching data.

[0011] Preferably, the pre-acquired device matching sequence set is cooperatively and reliably analyzed by using the Nth sample central control device matching data to obtain the N-1 device matching sequence set corresponding to the Nth sample central control device matching data; N is a positive integer.

[0012] Preferably, the N-1 device matching sequence set is iteratively analyzed, 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 central control device set is completely effective, and all effective matching sample central 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 central control device set is partially effective, and the existing device matching sequence and the sample central control device set are synchronously pushed to the user for passive selection.

[0013] Compared with the prior art, the present application has the following beneficial effects: The present application obtains the first sample central control device matching data or the second sample central control device matching data corresponding to the different demand devices of the user by processing and matching analysis of the digital home central control demand of the user, and can provide reliable data support for subsequent cooperative and reliable state analysis of different sample central control devices of the user demand.

[0014] The present application realizes automatic screening analysis of different sample central control devices matched by user demand by cooperatively and reliably screening and analyzing a plurality of first sample central control device matching data or second sample central control device matching data obtained by the user in the early stage, obtains the device matching sequence set corresponding to the digital home central control demand of the user, and can provide reliable data support for subsequent dynamic pushing of the user of the effective matching sample central control device matching the demand.

[0015] The present application prompts whether the demand matching of the sample central control device set is effective according to the device matching sequence set obtained by screening and analysis, and dynamically pushes all effective matching sample central control devices of the screening and analysis to the user, realizes diversified active pushing of the digital home central control demand of different users, and improves the active understanding effect and self-selection effect of different users in different aspects before installing and using the digital home central control system. BRIEF DESCRIPTION OF DRAWINGS

[0016] The present application will be further described below with reference to the accompanying drawings.

[0017] Figure 1 A flowchart of the operation of the digital home AI central control system of the present application.

[0018] Figure 2A module block diagram of a digital home AI central control system. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0020] Embodiment 1, as shown in Figure 1 and Figure 2 The present application is a digital home AI central control system, comprising: a user demand acquisition and processing module, configured to acquire the digital home central control demand of a user, 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 demand devices of the user; comprising: acquiring the digital home central control demand of the user and a plurality of demand devices; wherein the digital home central control demand includes high demand or regular demand, and the corresponding demand type is selected by the user; The plurality of demand devices refers to furniture devices that can be automatically controlled by the digital home central control, specifically including but not limited to smart door locks, smart lamps, smart curtains, smart air conditioners and smart fresh air; According to the digital home central control demand, generate the high demand instruction or the regular demand instruction of the user, and according to the high demand instruction or the regular demand instruction, sequentially traverse and match the plurality of demand devices of the user with a plurality of sample central control devices in the sample central control device set to obtain first sample central control device matching data corresponding to the high demand instruction of the different demand devices, or second sample central control device matching data corresponding to the regular demand instruction; It should be noted that a plurality of sample central control device subsets of different demand types are pre-set in the sample central control device set; for example, the smart door lock has a high demand sample central control device subset and a regular demand sample central control device subset; a plurality of sample central control devices are pre-set in the high demand sample central control device subset and the regular demand sample central control device subset, and the number of sample central control devices is greater than or equal to 1; The specific brands and models of the plurality of sample central control devices set in the different demand sample central control device subsets can be classified by professional technicians in the field in combination with the device parameter data and operation and maintenance data applied in the digital home central control system, and the specific classification details and contents are not limited, and can be customized according to the application requirements of the actual application scene; In the embodiment of the present application, by processing and matching analysis of the user's digital home control demand, the first sample control device matching data or the second sample control device matching data corresponding to the different demand equipment of the user is obtained, which can provide reliable data support for subsequent analysis of the cooperative reliable state of different sample control devices of the user's demand.

[0021] The user demand screening analysis module is used for screening analysis of the cooperative reliable state of the first sample control device matching data or the second sample control device matching data obtained by the user, and obtaining the equipment matching sequence set corresponding to the user's digital home control demand; comprising: The sample control device matching data corresponding to the matching of the user's several demand equipment is numbered and marked, and the numbering rule is not limited. The sample control device matching data is the first sample control device matching data or the second sample control device matching data corresponding to the different demand equipment of the user, and the first sample control device matching data is sequentially screened and analyzed with the second sample control device matching data in the order of the number. If the cooperative reliable identifier between the two sample control devices in the sorted sample control device matching data is k, k is 0 or 1, the demand type of the user is high demand, then k is 0; the demand type of the user is regular demand, then k is 1, then the two sample control devices are marked as effective matching sample control devices, and the marked effective matching sample control devices are sorted and combined according to the number order to obtain the first equipment matching sequence. It needs to be explained that the corresponding cooperative reliable identifier is set according to whether there is cooperative work between different sample control devices. Specifically, there is cooperative work between sample control device A and sample control device B, and the cooperative reliable identifier between them is set to 0 or 1. For example, sample control device A is a smart door lock, and sample control device B is a smart lamp; when the user opens the smart door lock and enters the house, the smart lamp is turned on synchronously without manual operation, realizing the cooperative work of the smart door lock and the smart lamp. The cooperative reliable identifier with a value of 0 indicates that the cooperative work between sample control device A and sample control device B is completely reliable, corresponding to the high demand of the user. The completely reliable cooperative work can be determined according to the historical cooperative work data between sample control device A and sample control device B, such as normal historical cooperative work data. The historical cooperative work data can be cooperative communication state indicators and cooperative reaction processing indicators, and the normal judgment standard corresponding to the cooperative communication state indicators and the cooperative reaction processing indicators can be determined according to the actual equipment operation design requirement data. In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; In addition, the cooperative reliability identifier with the value of 1 indicates that the cooperation between the sample control device A and the sample control device B in the sample is partially reliable, which corresponds to the conventional demand of the user, and the partial reliability of the cooperation can be determined according to the historical cooperation data between the sample control device A and the sample control device B, for example, the historical cooperation data is abnormal, for example, the cooperative reaction processing between the sample control device A and the sample control device B is delayed during the historical cooperation; It is worth noting that the control device in the valid matching sample in the first device matching sequence matches the third sample control device matching data of all sample control devices in the screening analysis, if all sample control devices in the screening analysis result are marked as invalid matching sample control devices, the third sample control device matching data is marked as abnormal sample control device matching data, and the sample control device subset in the sample control device set to which the abnormal sample control device matching data belongs is marked as an abnormal sample control device subset, and the screening analysis of all sample control devices in subsequent sample control device matching data is stopped; avoid the waste of data resources caused by subsequent invalid screening analysis; The obtained all second device matching sequences are sorted and combined to obtain a second device matching sequence set corresponding to the third sample control device matching data; The device matching sequence set obtained in the early stage is screened and analyzed for cooperative reliability state by using the Nth sample control device matching data, that is, the above-mentioned screening analysis scheme for cooperative reliability state is repeated to obtain an N-1 device matching sequence set corresponding to the Nth sample control device matching data; N is a positive integer; In the embodiment of the application, by screening and analyzing the cooperative reliability state of a plurality of first sample control device matching data or second sample control device matching data obtained by the user in the early stage, automatic screening and analysis of different sample control devices matched by the user demand is realized, and a device matching sequence set corresponding to the user digital home control demand is obtained, which can provide reliable data support for the user to dynamically push the effective matching sample control devices matched by the demand.

[0022] The user demand push prompting module is used for prompting whether the demand matching of the sample control device set is effective according to the device matching sequence set obtained by screening and analysis, and dynamically pushing all effective matching sample control devices screened and analyzed to the user; comprising: 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.

[0023] 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.

[0024] 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: 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. 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. 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; 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.

[0025] In the embodiment of the present application, the abnormal matching influence of the control device subset corresponding to different abnormal samples is digitally processed and analyzed by expanding and utilizing the control device subset in different abnormal samples marked in the early stage, and the different abnormal sample control device subsets are dynamically optimized and managed according to the analysis result, so that the reliability and accuracy of the active understanding and self-selection of different users before installing and using the digital home control system can be improved from the sample data aspect.

[0026] In several embodiments provided by the present application, it should be understood that the disclosed system can be implemented in other manners. For example, the embodiments of the application described above are merely schematic; for example, the division of the modules is only a logical function division; and there can be another division manner in actual implementation.

[0027] The modules illustrated as separated components can or can not be physically separated, and the components illustrated as modules can or can not be physical modules, and can be located in one place or distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0028] In addition, each functional module in each embodiment of the present application can be integrated in one processing module, or each module can exist physically, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of hardware plus software functional module.

[0029] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the essential characteristics of the present application.

[0030] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application but not limit the present application, and although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

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 central control equipment set to obtain the first sample central control equipment matching data or the second sample central control equipment matching data corresponding to different demand equipment of the user; The user demand screening analysis module is used for screening and analyzing the first sample central control equipment matching data or the second sample central control equipment matching data obtained by the user in a cooperative and reliable state to obtain the equipment matching sequence set corresponding to the digital home control demand of the user. The user demand pushing and prompting module is used for prompting whether the demand matching of the sample central control equipment set is effective according to the equipment matching sequence set obtained by screening and analysis, and dynamically pushing all effective matching sample central control equipment of the screening and analysis to the user. 2.The digital home AI central control system according to claim 1, wherein, Obtain the digital home control demand of the user and several demand equipment; Generate the high demand instruction or the regular demand instruction of the user according to the digital home control demand, and perform traversal matching of the several demand equipment of the user with the several sample central control equipment in the sample central control equipment set according to the high demand instruction or the regular demand instruction to obtain the first sample central control equipment matching data corresponding to the high demand instruction of the different demand equipment or the second sample central control equipment matching data corresponding to the regular demand instruction. 3.The digital home AI control system of claim 2, wherein, Number and mark all the sample central control equipment matching data corresponding to the matching of the several demand equipment of the user, and perform screening and analysis of the several sample central control equipment in the sample central control equipment matching data in the first place with the several sample central control equipment in the sample central control equipment matching data in the second place in a cooperative and reliable state according to the numbering order to obtain the first equipment matching sequence set corresponding to the sample central control equipment matching data in the second place.

4. The digital home AI central control system according to claim 3, characterized in that, If the cooperative and reliable identification between the two sample central control equipment in the sample central control equipment matching data in the order is k, k is 0 or 1, then the two sample central control equipment are marked as effective matching sample central control equipment, and the effective matching sample central control equipment marked is sorted and combined according to the numbering order to obtain the first equipment matching sequence. If the cooperative and reliable identification between the two sample central control equipment in the sample central control equipment matching data in the order is not k, then the two sample central control equipment are marked as invalid matching sample central control equipment. Sort and combine all the first equipment matching sequences obtained by processing and obtaining to obtain the first equipment matching sequence set corresponding to the sample central control equipment matching data in the second place.

5. The digital home AI central control system according to claim 4, characterized in that, Perform screening and analysis of all the first equipment matching sequences in the first equipment matching sequence set with the several sample central control equipment in the sample central control equipment matching data in the third place in a cooperative and reliable state to obtain the second equipment matching sequence set corresponding to the sample central control equipment matching data in the third place.

6. The digital home AI central control system according to claim 5, characterized in that, If the cooperative and reliable identification between the effective matching sample central control equipment in the first equipment matching sequence and the sample central control equipment is k, then the sample central control equipment is marked as effective matching sample central 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 reliable identifier between the control device in the first device matching sequence and the sample control device in the valid matching sample is not k, the sample control device is marked as an invalid matching sample control device; All the second device matching sequences obtained are sorted and combined to obtain a second device matching sequence set corresponding to the sample control device matching data in the third position.

7. The digital home AI central control system according to claim 6, characterized in that, The device matching sequence set obtained in the early stage is subjected to cooperative reliable state screening analysis by using the sample control device matching data in the Nth position to obtain an N-1 device matching sequence set corresponding to the sample control device matching data in the Nth position; N is a positive integer. 8.The digital home AI control system of claim 7, wherein, 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 valid, and all the valid 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 valid, 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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