Intelligent control system, method and storage medium for intelligent equipment

Abstract

The present invention discloses an intelligent control system, method and storage medium for intelligent devices, and designs the field of intelligent control technology, including an analysis object determination module, a control sequence generation module, a target control sequence determination module, a device update analysis module and a real-time monitoring response module; the analysis object determination module is used to take a smart home improvement system database constructed by each local area network corresponding to the intelligent Internet of Things as the analysis object, the control sequence generation module is used to generate a control sequence of a corresponding intelligent device constituted by an instruction trigger factor; the target control sequence determination module is used to screen a control sequence that has a unique instruction trigger factor associated with multiple intelligent devices as a target control sequence; the device update analysis module is used to determine whether a directly associated event needs to update the target control sequence, and the real-time monitoring response module is used to respond to the updated target control sequence when there is an intelligent control event constituted by the instruction trigger factor in real-time monitoring.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent control system, method and storage medium for intelligent equipment. Background Art

[0002] With the rapid development of computer technology, processor performance continues to improve, enabling intelligent control systems to process more complex and larger amounts of data, thereby achieving precise control of equipment. Advances in communication technology, especially the rise of the Internet of Things (IoT), have enabled interconnection between smart devices, enabling real-time data transmission and processing, making remote control and monitoring of intelligent control systems possible. In existing technology applications, multiple smart devices can be controlled in conjunction with an integrated control system, enabling information sharing, collaborative work, and intelligent decision-making. However, this interconnected IoT setup is often implemented at the time of control system layout. However, as users use the control system, the usage status may change, and the control of the smart devices may no longer meet the multi-intelligent device collaborative model set by the initial control system. Existing control systems cannot effectively respond and perceive through data analysis. Often, more active user intervention makes the application of smart devices less convenient and intelligent. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent control system, method and storage medium for intelligent devices to solve the problems raised in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for intelligent control of intelligent devices, the method comprising:

[0005] Step S100: Taking the smart home system database constructed by the smart IoT corresponding to each local area network as the analysis object, extracting the smart control events of the smart devices recorded in the database, and generating a control sequence of the corresponding smart devices composed of instruction trigger factors based on the smart control events;

[0006] Step S200: Extracting the control relationship between the instruction trigger factor and the smart device in the control sequence, screening the control sequence in which a unique instruction trigger factor is associated with multiple smart devices as the target control sequence; and dividing the smart control events into directly associated events and progressively associated events based on the target control sequence;

[0007] Step S300: Based on the direct association event and the progressive association event, extract the device association data corresponding to the same instruction trigger factor in the database history record, and determine whether the direct association event requires updating the target control sequence. Updating means deleting or adding smart devices in the target control sequence.

[0008] Step S400: When there is an updated target control sequence, the updated target control sequence responds to the real-time monitoring of the existence of an intelligent control event consisting of an instruction trigger factor.

[0009] Furthermore, the step S100 of generating the control sequence of the smart device corresponding to the instruction trigger factor includes the following steps:

[0010] The command trigger factor refers to the detection and analysis data required for smart devices to implement smart control. The smart control event records the smart devices that transmit responses after the smart home system captures the command trigger factor. Based on the communication transmission link, the command trigger factor is used as the search item in the sequence, and the smart devices connected to the command trigger factor communication transmission link are used as sequence items. The search item and sequence item are linked to generate the control sequence A; A = {search item → sequence item}; where "→" represents the communication transmission link;

[0011] When there is an intelligent control event record containing different intelligent devices corresponding to the same instruction trigger factor, a multi-regulation sequence A0 is constructed with the search item corresponding to the same instruction trigger factor, A0={search item→(sequence item a1, sequence item a2..., sequence item a n )}; There is no communication transmission link between the sequence items in the multi-regulatory sequence; among which sequence item a1, sequence item a2..., sequence item a n Indicates the 1st, 2nd, ..., nth independent sequence items corresponding to the same search term;

[0012] When there is a sequence item record communication transmission link in the multi-regulatory sequence, a progressive regulation sequence A1 is constructed, A1={search item→[(sequence item a1→sequence item b i ), sequence item a2, ..., sequence item a n ]}; (sequence item a1 → sequence item b i ) indicates that sequence item a1 responds to the i-th sequence item b of the communication transmission link i .

[0013] Furthermore, step S200 includes the following specific steps:

[0014] Mark multiple regulatory sequences and progressive regulatory sequences as target regulatory sequences;

[0015] The intelligent control events corresponding to the extracted multi-regulatory sequences are directly related events;

[0016] The intelligent control events recorded corresponding to the progressive control sequence are progressive association events.

[0017] Furthermore, step S300 includes the following specific steps:

[0018] Step S310: The device association data includes user operation data, which refers to the active intervention data of the user's operation records based on the smart device. The factor association sequence pairs and progressive transmission sequence pairs marked as directly associated events and progressively associated events in the target control sequence are extracted. The factor association sequence pair refers to a sequence pair formed by the instruction trigger factor linking the smart device via a communication transmission link, and the progressive transmission sequence pair refers to a sequence pair formed by the communication transmission link linking two communicating smart devices.

[0019] Step S320: Retrieving the active intervention data in the history records corresponding to the intelligent control event for each sequence pair in the database, which is the number of times M that the user executes device shutdown;

[0020] When the sequence pair is a factor-associated sequence pair, the target regulatory sequence containing the factor-associated sequence pair is extracted, and the number of times M of the target regulatory sequence excluding the factor-associated sequence and other associated sequence pairs is counted. The correlation coefficient Y of the factor-associated sequence pair is calculated using the formula: Y=(M1-Mmax) / (Mmax-Mmin), where M1 represents the number of times the user executes device shutdown when the sequence pair is an analysis sequence pair, Mmax represents the maximum number of times the user executes device shutdown in the history of all sequence pairs after excluding the analysis sequence pair in the target regulatory sequence where the analysis sequence pair is located, and Mmin represents the minimum number of times the user executes device shutdown in the history of all sequence pairs after excluding the analysis sequence pair in the target regulatory sequence where the analysis sequence pair is located;

[0021] The larger the correlation coefficient, the smaller the impact of the analysis sequence on the correlation based on the instruction trigger factor in the actual smart device control, which means that the user's actual demand for the smart device controlled by the instruction trigger factor is smaller. With the increase of data and the development of device application habits, the user's subjective demand for smart devices decreases. Usually, the control of smart devices often has fixed logic and algorithms, and it is not changed autonomously after the initial setting. Therefore, this application captures the control needs of users' tendencies by accessing the database of smart device execution control records, thereby performing intelligent control and realizing personalized and adaptive smart device control.

[0022] Set the correlation coefficient threshold Y0, delete the sequence items of the factor-correlated sequence pairs with Y>Y0, and update the target regulatory sequence where the factor-correlated sequence pairs are located;

[0023] When the sequence pair is a progressive transmission sequence pair, the number of times Q that a user has executed device shutdowns, which is recorded in the target control sequence of the same progressive transmission sequence pair, is extracted. The number of records in the target control sequence is used as the horizontal coordinate and the number of corresponding device shutdowns as the vertical coordinate. A two-dimensional rectangular coordinate system is constructed, and the coordinate points consisting of the number of records and the number of device shutdowns are marked in the coordinate system. The vertical coordinate difference Q0 of adjacent coordinates is calculated, where Q0 = Q1 - Q2, where Q1 represents the vertical coordinate corresponding to the previous recorded event and Q2 represents the vertical coordinate corresponding to the next recorded event.

[0024] Calculate the amplitude coefficient P, P=Z Q0 / X Q0 , where Z Q0 Indicates the number of vertical coordinate difference Q0 greater than or equal to zero, X Q0 It indicates the number of times the vertical coordinate difference Q0 is less than zero. The larger the amplitude coefficient is, the more downward trend there is in the dot diagram composed of the coordinate system, indicating that the user's demand for the device gradually decreases during the use of the smart device.

[0025] Set the amplitude coefficient threshold P0. When P>P0 and the difference between the abscissa of the coordinate point corresponding to the maximum ordinate value and the abscissa of the coordinate point corresponding to the minimum ordinate value is greater than or equal to the difference threshold, delete the sequence item of the corresponding progressive transmission sequence pair; and update the target control sequence in which the progressive transmission sequence pair is located.

[0026] Furthermore, step S300 further includes the following specific steps:

[0027] Set the observable duration of each intelligent control event. The observable duration is the duration of continuous monitoring after the intelligent control event is completed. Extract the user's active intervention data recorded during the observable duration as the intelligent device when the responding intelligent device is turned on. If the intelligent device is not a responding device in the intelligent control event recorded before the observable duration, mark it.

[0028] Determine the command trigger factor of the marked smart device, obtain the number of active interventions R of each marked smart device under all the same smart control events in the history, and calculate the average number of active interventions R0 in the target control sequence where the corresponding command trigger factor is located, which can form a sequence pair with the command trigger factor;

[0029] Extract the marked smart device corresponding to R≥R0, and use the marked smart device as a new smart device in the target control sequence where the corresponding instruction trigger factor is located to issue a signal reminder.

[0030] The analysis of newly added smart devices is that when users have new smart device control needs, they can be added to the control events associated with the instruction trigger factors based on the current response process. This addition serves as a prompt signal to the system, which can effectively improve the intelligent system's monitoring of real-time changes in the user's smart device usage status, thereby establishing a closer intelligent connection between the device and the user.

[0031] An intelligent control system for intelligent equipment, the system includes an analysis object determination module, a control sequence generation module, a target control sequence determination module, an equipment update analysis module and a real-time monitoring response module;

[0032] The analysis object determination module is used to analyze the smart home system database built by each local area network corresponding to the smart Internet of Things.

[0033] The control sequence generation module is used to generate a control sequence for the corresponding smart device triggered by the instruction;

[0034] The target regulatory sequence determination module is used to screen regulatory sequences that have a unique instruction trigger factor associated with multiple smart devices as target regulatory sequences;

[0035] The device update analysis module is used to determine whether the directly related events require updating the target control sequence.

[0036] The real-time monitoring response module is used to respond to the updated target control sequence when there is an intelligent control event composed of instruction trigger factors in real-time monitoring.

[0037] The regulatory sequence generation module includes an instruction trigger factor determination unit, a multi-regulatory sequence construction unit, and a progressive regulatory sequence construction unit;

[0038] The instruction trigger factor determination unit is used to use the instruction trigger factor as a search item in the sequence, and the smart device connected to the instruction trigger factor communication transmission link as the sequence item.

[0039] The multiple control sequence construction unit is used to construct a multiple control sequence using search items corresponding to the same instruction trigger factor when there is an intelligent control event record containing different intelligent devices corresponding to the same instruction trigger factor;

[0040] The progressive control sequence construction unit is used to construct a progressive control sequence when a sequence item records a communication transmission link in a multi-element control sequence.

[0041] The device update analysis module includes a user operation data calling unit, a device deletion analysis unit, and a device addition analysis unit;

[0042] The user operation data calling unit is used to call the active intervention data of the user based on the operation record of the smart device;

[0043] The device deletion analysis unit is used to analyze the correlation coefficient to delete the sequence items and update the target regulation sequence in which the factor correlation sequence is located;

[0044] The newly added analysis unit of the device is used to analyze the number of active interventions and send a signal reminder to the marked smart device as a new smart device in the target control sequence where the corresponding instruction trigger factor is located.

[0045] A storage medium for intelligent control of an intelligent device stores a computer program. When the computer program is executed by a processor, an intelligent control method for an intelligent device is implemented.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention analyzes the control system of the intelligent device under each local area network, generates a control sequence of the corresponding intelligent device composed of instruction trigger factors, and classifies it into different control sequences based on the actual control relationship; based on the historical analysis of the control sequence records, it is analyzed whether there is any addition or deletion of each sequence pair in the sequence, and early warning reminders are given for possible sequence pairs; by accessing the database of the control records of the intelligent device execution, the control requirements with user tendencies are captured to perform intelligent control, thereby realizing the personalization and adaptation of the intelligent device control. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a structural diagram of an intelligent control system for intelligent devices of the present invention. DETAILED DESCRIPTION

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0049] Example: Figure 1 As shown, the present invention provides a technical solution, an intelligent control method for intelligent devices, the method comprising:

[0050] Step S100: Taking the smart home system database constructed by the smart IoT corresponding to each local area network as the analysis object, extracting the smart control events of the smart devices recorded in the database, and generating a control sequence of the corresponding smart devices composed of instruction trigger factors based on the smart control events;

[0051] Generating a control sequence of the smart device corresponding to the instruction trigger factor in step S100 includes the following steps:

[0052] The command trigger factor refers to the detection and analysis data required for the intelligent device to implement intelligent control. For example, if the monitoring device captures a person entering the living room and then transmits a signal in response to the lighting device to turn on the lights in the living room, then the monitoring screen data of the person entering the living room in this intelligent control event is the detection and analysis data required for intelligent control, which is called the command trigger factor. The generation of the command trigger factor also originates from the intelligent device, but in this application, the determination of the command trigger factor is used as a benchmark to analyze subsequent related intelligent devices; the intelligent control event records the intelligent device that transmits a response after the intelligent home improvement system captures the command trigger factor. Based on the communication transmission link, the command trigger factor is used as the search item in the sequence, and the intelligent device connected to the communication transmission link of the command trigger factor is used as the sequence item. The search item and the sequence item are linked to generate a control sequence A; A={search item→sequence item}; where "→" represents the communication transmission link;

[0053] When there is an intelligent control event record containing different intelligent devices corresponding to the same instruction trigger factor, a multi-regulation sequence A0 is constructed with the search item corresponding to the same instruction trigger factor, A0={search item→(sequence item a1, sequence item a2..., sequence item a n )}; There is no communication transmission link between the sequence items in the multi-regulatory sequence; among which sequence item a1, sequence item a2..., sequence item a n Indicates the 1st, 2nd, ..., nth independent sequence items corresponding to the same search term;

[0054] When there is a sequence item record communication transmission link in the multi-regulatory sequence, a progressive regulation sequence A1 is constructed, A1={search item→[(sequence item a1→sequence item b i ), sequence item a2, ..., sequence item a n ]}; (sequence item a1 → sequence item b i ) indicates that sequence item a1 responds to the i-th sequence item b of the communication transmission link i .

[0055] In the control sequence, the sequence items enclosed in brackets are all independently responded to when no communication transmission link is established. If (sequence item a1→sequence item b i ) contains sequence items b1 and b2, and b1 and b2 are independent, it can be further expressed as: [sequence item a1→(sequence item b1, sequence item b2)], and sequence item b1 and sequence item b2 are both transmitted in response to sequence item a1.

[0056] Step S200: Extracting the control relationship between the instruction trigger factor and the smart device in the control sequence, screening the control sequence in which a unique instruction trigger factor is associated with multiple smart devices as the target control sequence; and dividing the smart control events into directly associated events and progressively associated events based on the target control sequence;

[0057] Step S200 includes the following specific steps:

[0058] Mark multiple regulatory sequences and progressive regulatory sequences as target regulatory sequences;

[0059] The intelligent control events corresponding to the extracted multi-regulatory sequences are directly related events;

[0060] The intelligent control events recorded corresponding to the progressive control sequence are progressive association events.

[0061] Step S300: Based on the direct association event and the progressive association event, extract the device association data corresponding to the same instruction trigger factor in the database history record, and determine whether the direct association event requires updating the target control sequence. Updating means deleting or adding smart devices in the target control sequence.

[0062] Step S300 includes the following specific steps:

[0063] Step S310: The device association data includes user operation data, which refers to the active intervention data of the user's operation records based on the smart device. The factor association sequence pairs and progressive transmission sequence pairs marked as directly associated events and progressively associated events in the target control sequence are extracted. The factor association sequence pair refers to a sequence pair formed by the instruction trigger factor linking the smart device via a communication transmission link, and the progressive transmission sequence pair refers to a sequence pair formed by the communication transmission link linking two communicating smart devices.

[0064] Step S320: Retrieving the active intervention data in the history records corresponding to the intelligent control event for each sequence pair in the database, which is the number of times M that the user executes device shutdown;

[0065] When the sequence pair is a factor-associated sequence pair, the target regulatory sequence containing the factor-associated sequence pair is extracted, and the number of times M of the target regulatory sequence excluding the factor-associated sequence and other associated sequence pairs is counted. The correlation coefficient Y of the factor-associated sequence pair is calculated using the formula: Y=(M1-Mmax) / (Mmax-Mmin), where M1 represents the number of times the user executes device shutdown when the sequence pair is an analysis sequence pair, Mmax represents the maximum number of times the user executes device shutdown in the history of all sequence pairs after excluding the analysis sequence pair in the target regulatory sequence where the analysis sequence pair is located, and Mmin represents the minimum number of times the user executes device shutdown in the history of all sequence pairs after excluding the analysis sequence pair in the target regulatory sequence where the analysis sequence pair is located;

[0066] As shown in the embodiment: there is a factor-associated sequence pair (search item → sequence item a1); the corresponding monitoring device may capture a person entering the living room as a command trigger factor, and then transmit a signal response to the lighting device to turn on the lights in the living room;

[0067] The target regulatory sequence is: A0={search item→(sequence item a1, sequence item a2, sequence item a3)};

[0068] Remove the factor-associated sequence pairs that still exist (search item → sequence item a2) and (search item → sequence item a3); correspondingly extract the historical records under the target regulatory sequence to record the number of times the user executed device shutdown in each sequence pair;

[0069] If (search item → sequence item a1) is recorded 3 times, (search item → sequence item a2) is recorded once, and (search item → sequence item a3) is recorded 0 times, then the correlation coefficient Y = (3-1) / (1-0) = 2 can be calculated. If Mmax-Mmin = 0, the denominator is taken as 1.

[0070] The larger the correlation coefficient, the smaller the impact of the analysis sequence on the correlation based on the instruction trigger factor in the actual smart device control, which means that the user's actual demand for the smart device controlled by the instruction trigger factor is smaller. With the increase of data and the development of device application habits, the user's subjective demand for smart devices decreases. Usually, the control of smart devices often has fixed logic and algorithms, and it is not changed autonomously after the initial setting. Therefore, this application captures the control needs of users' tendencies by accessing the database of smart device execution control records, thereby performing intelligent control and realizing personalized and adaptive smart device control.

[0071] Set the correlation coefficient threshold Y0, delete the sequence items of the factor-correlated sequence pairs with Y>Y0, and update the target regulatory sequence where the factor-correlated sequence pairs are located;

[0072] When the sequence pair is a progressive transmission sequence pair, the number of times Q that a user has executed device shutdowns, which is recorded in the target control sequence of the same progressive transmission sequence pair, is extracted. The number of records in the target control sequence is used as the horizontal coordinate and the number of corresponding device shutdowns as the vertical coordinate. A two-dimensional rectangular coordinate system is constructed, and the coordinate points consisting of the number of records and the number of device shutdowns are marked in the coordinate system. The vertical coordinate difference Q0 of adjacent coordinates is calculated, where Q0 = Q1 - Q2, where Q1 represents the vertical coordinate corresponding to the previous recorded event and Q2 represents the vertical coordinate corresponding to the next recorded event.

[0073] Calculate the amplitude coefficient P, P=Z Q0 / X Q0 , where Z Q0 Indicates the number of vertical coordinate difference Q0 greater than or equal to zero, X Q0It indicates the number of times the vertical coordinate difference Q0 is less than zero. The larger the amplitude coefficient is, the more downward trend there is in the dot diagram composed of the coordinate system, indicating that the user's demand for the device gradually decreases during the use of the smart device.

[0074] Set the amplitude coefficient threshold P0. When P>P0 and the difference between the abscissa of the coordinate point corresponding to the maximum ordinate value and the abscissa of the coordinate point corresponding to the minimum ordinate value is greater than or equal to the difference threshold, delete the sequence item of the corresponding progressive transmission sequence pair; and update the target control sequence in which the progressive transmission sequence pair is located.

[0075] Step S300 also includes the following specific steps:

[0076] Set the observable duration of each intelligent control event. The observable duration is the duration of continuous monitoring after the intelligent control event is completed. Extract the user's active intervention data recorded during the observable duration as the intelligent device when the responding intelligent device is turned on. If the intelligent device is not a responding device in the intelligent control event recorded before the observable duration, mark it.

[0077] Determine the command trigger factor of the marked smart device. The command trigger factor here defaults to the command trigger factor in the smart control event recorded before the observable length of time. Obtain the number of active interventions R of each marked smart device under all the same smart control events in the history, and calculate the average number of active interventions R0 in the target control sequence where the corresponding command trigger factor is located, which can form a sequence pair with the command trigger factor.

[0078] Extract the marked smart device corresponding to R≥R0, and use the marked smart device as a new smart device in the target control sequence where the corresponding instruction trigger factor is located to issue a signal reminder.

[0079] The analysis of newly added smart devices is that when users have new smart device control needs, they can be added to the control events associated with the instruction trigger factors based on the current response process. This addition serves as a prompt signal to the system, which can effectively improve the intelligent system's monitoring of real-time changes in the user's smart device usage status, thereby establishing a closer intelligent connection between the device and the user.

[0080] Step S400: When there is an updated target control sequence, the updated target control sequence responds to the real-time monitoring of the existence of an intelligent control event consisting of an instruction trigger factor.

[0081] For example, when the updated target control sequence is to delete the smart device, then in the sequence pair corresponding to the device, the instruction trigger factor or other smart device and its communication transmission link will be cut off; if the updated target control sequence is to add a new smart device, then the communication transmission link will be added when the corresponding instruction trigger factor or smart device responds.

[0082] An intelligent control system for intelligent equipment, the system includes an analysis object determination module, a control sequence generation module, a target control sequence determination module, an equipment update analysis module and a real-time monitoring response module;

[0083] The analysis object determination module is used to analyze the smart home system database built by each local area network corresponding to the smart Internet of Things.

[0084] The control sequence generation module is used to generate a control sequence for the corresponding smart device triggered by the instruction;

[0085] The target regulatory sequence determination module is used to screen regulatory sequences that have a unique instruction trigger factor associated with multiple smart devices as target regulatory sequences;

[0086] The device update analysis module is used to determine whether the directly related events require updating the target control sequence.

[0087] The real-time monitoring response module is used to respond to the updated target control sequence when there is an intelligent control event composed of instruction trigger factors in real-time monitoring.

[0088] The regulatory sequence generation module includes an instruction trigger factor determination unit, a multi-regulatory sequence construction unit, and a progressive regulatory sequence construction unit;

[0089] The instruction trigger factor determination unit is used to use the instruction trigger factor as a search item in the sequence, and the smart device connected to the instruction trigger factor communication transmission link as the sequence item.

[0090] The multiple control sequence construction unit is used to construct a multiple control sequence using search items corresponding to the same instruction trigger factor when there is an intelligent control event record containing different intelligent devices corresponding to the same instruction trigger factor;

[0091] The progressive control sequence construction unit is used to construct a progressive control sequence when a sequence item records a communication transmission link in a multi-element control sequence.

[0092] The device update analysis module includes a user operation data calling unit, a device deletion analysis unit, and a device addition analysis unit;

[0093] The user operation data calling unit is used to call the active intervention data of the user based on the operation record of the smart device;

[0094] The device deletion analysis unit is used to analyze the correlation coefficient to delete the sequence items and update the target regulation sequence in which the factor correlation sequence is located;

[0095] The newly added analysis unit of the device is used to analyze the number of active interventions and send a signal reminder to the marked smart device as a new smart device in the target control sequence where the corresponding instruction trigger factor is located.

[0096] A storage medium for intelligent control of an intelligent device stores a computer program. When the computer program is executed by a processor, an intelligent control method for an intelligent device is implemented.

[0097] 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 invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. An intelligent control method for an intelligent device, characterized in that: The method comprises: Step S100: taking the smart home system database constructed by the smart IoT corresponding to each local area network as the analysis object, extracting the smart control events of the smart devices recorded in the database, and generating a control sequence of the corresponding smart devices constituted by the command trigger factor based on the smart control events; The step S100 of generating a control sequence of the smart device corresponding to the instruction trigger factor includes the following steps: The command trigger factor refers to the detection and analysis data required for the intelligent device to implement intelligent control. The intelligent control event records the intelligent device that transmits the response after the intelligent home improvement system captures the command trigger factor. Based on the communication transmission link, the command trigger factor is used as the search item in the sequence, and the intelligent device connected to the command trigger factor communication transmission link is used as the sequence item. The search item and the sequence item are linked to generate the control sequence A; A={search item→sequence item}; where "→" represents the communication transmission link; When there is an intelligent control event record containing different intelligent devices corresponding to the same instruction trigger factor, a multivariate control sequence A0 is constructed with the search items corresponding to the same instruction trigger factor, A0={search item→(sequence item a1, sequence item a2..., sequence item a n )}; There is no communication transmission link between the sequence items in the multi-regulatory sequence; wherein sequence item a1, sequence item a2..., sequence item a n Indicates the 1st, 2nd, ..., nth independent sequence items corresponding to the same search term; When there is a sequence item record communication transmission link in the multivariate regulatory sequence, a progressive regulatory sequence A1 is constructed, A1={search item→[(sequence item a1→sequence item b i ), sequence item a2, ..., sequence item a n ]}; (sequence item a1→sequence item b i ) indicates that sequence item a1 responds to the i-th sequence item b of the communication transmission link i ; Step S200: extracting the control relationship between the instruction trigger factor and the smart device in the control sequence, screening the control sequence with a unique instruction trigger factor associated with multiple smart devices as the target control sequence; and dividing the smart control events into directly associated events and progressively associated events based on the target control sequence; Step S300: based on the direct association event and the progressive association event, extract the device association data corresponding to the same instruction trigger factor in the database history record, and determine whether the direct association event requires updating the target control sequence, wherein updating the target control sequence refers to deleting or adding a smart device in the target control sequence; The step S300 includes the following specific steps: Step S310: the device association data includes user operation data, which refers to active intervention data of the user based on the operation record of the smart device; extracting the factor association sequence pairs and the progressive transmission sequence pairs marked as direct association events and progressive association events in the target regulation sequence, wherein the factor association sequence pairs refer to the sequence pairs formed by the instruction trigger factor linking the smart device through the communication transmission link, and the progressive transmission sequence pairs refer to the sequence pairs formed by the communication transmission link linking two communicating smart devices; Step S320: Retrieving the active intervention data in the history records corresponding to the intelligent control event for each sequence pair in the database, which is the number of times M that the user executes device shutdown; When the sequence pair is a factor-associated sequence pair, extract the target regulatory sequence containing the factor-associated sequence pair, count the number of times M of other associated sequence pairs in the target regulatory sequence excluding the factor-associated sequence, and calculate the correlation coefficient Y of the factor-associated sequence pair using the formula: Y=(M1-Mmax) / (Mmax-Mmin), where M1 represents the number of times the user executes device shutdown recorded when the sequence pair is an analysis sequence pair, Mmax represents the maximum number of times the user executes device shutdown recorded in the historical records of all other sequence pairs after the analysis sequence pair is removed from the target regulatory sequence where the analysis sequence pair is located, and Mmin represents the minimum number of times the user executes device shutdown recorded in the historical records of all other sequence pairs after the analysis sequence pair is removed from the target regulatory sequence where the analysis sequence pair is located; Set the correlation coefficient threshold Y0, delete the sequence items of the factor-associated sequence pairs with Y>Y0, and update the target regulatory sequence where the factor-associated sequence pairs are located; When the sequence pair is a progressive transmission sequence pair, extract the number of times Q of user-executed device shutdowns recorded in the target control sequence where the progressive transmission sequence pair with the same historical record is located, construct a two-dimensional rectangular coordinate system with the number of records in the target control sequence as the horizontal coordinate and the number of corresponding device shutdowns as the vertical coordinate, and mark the coordinate points composed of the number of records and the number of device shutdowns in the coordinate system, and calculate the vertical coordinate difference Q0 of adjacent coordinates, Q0=Q1-Q2, Q1 represents the vertical coordinate corresponding to the previous recorded event, and Q2 represents the vertical coordinate corresponding to the next recorded event; Calculate the amplitude coefficient P, P=Z Q0 / X Q0 , where Z Q0 Indicates the number of ordinate difference values ​​Q0 greater than or equal to zero, X Q0 Indicates the number of ordinate difference Q0 less than zero; The amplitude coefficient threshold value P0 is set, and when P>P0 and the difference between the abscissa of the coordinate point corresponding to the maximum value of the ordinate and the abscissa of the coordinate point corresponding to the minimum value of the ordinate is greater than or equal to the difference threshold, the corresponding progressive transmission sequence pair is deleted; and the progressive transmission sequence pair is updated in the target control sequence where it is located; Step S400: When there is an updated target control sequence, the updated target control sequence is responded to when there is an intelligent control event consisting of instruction triggering factors in real-time monitoring.

2. The intelligent control method of an intelligent device according to claim 1, characterized in that: The step S200 includes the following specific steps: Marking multiple regulatory sequences and progressive regulatory sequences as target regulatory sequences; The intelligent regulation events corresponding to the extracted multi-regulatory sequences are directly associated events; The intelligent control events recorded corresponding to the progressive control sequence are progressive association events.

3. The intelligent control method of an intelligent device according to claim 1, characterized in that: The step S300 also includes the following specific steps: Set the observable duration of each intelligent control event, which is the monitoring duration that continues after the intelligent control event is executed. Extract the active intervention data of the user recorded within the observable duration as the intelligent device when the responding intelligent device is turned on. If the intelligent device does not belong to the responding device in the intelligent control event recorded before the observable duration, mark it; Determine the command trigger factor of the marked smart device, obtain the number of active interventions R of each marked smart device under all the same smart control events in the historical records, and calculate the average number of active interventions R0 of the target control sequence in which the corresponding command trigger factor is located and can form a sequence pair with the command trigger factor; The marked smart device corresponding to R≥R0 is extracted, and the marked smart device is used as a new smart device in the target control sequence where the corresponding instruction trigger factor is located to send a signal reminder.

4. An intelligent control system for an intelligent device, applying an intelligent control method for an intelligent device according to any one of claims 1 to 3, characterized in that: The system includes an analysis object determination module, a regulation sequence generation module, a target regulation sequence determination module, an equipment update analysis module, and a real-time monitoring response module; The analysis object determination module is used to take the smart home improvement system database constructed by the smart IoT corresponding to each local area network as the analysis object. The control sequence generation module is used to generate a control sequence of a corresponding smart device constituted by the instruction trigger factor; The target regulation sequence determination module is used to select a regulation sequence that has a unique instruction trigger factor associated with multiple smart devices as a target regulation sequence; The device update analysis module is used to determine whether the directly associated event requires updating the target regulation sequence. The real-time monitoring response module is used to respond to the updated target control sequence when there is an intelligent control event composed of instruction triggering factors in real-time monitoring.

5. The intelligent control system for intelligent devices according to claim 4, characterized in that: The regulatory sequence generation module includes an instruction trigger factor determination unit, a multivariate regulatory sequence construction unit, and a progressive regulatory sequence construction unit; The instruction trigger factor determination unit is used to use the instruction trigger factor as a search item in the sequence, and the smart device connected to the instruction trigger factor communication transmission link as the sequence item. The multi-element control sequence construction unit is used to construct a multi-element control sequence with the search items corresponding to the same instruction trigger factor when there is an intelligent control event record containing different intelligent devices corresponding to the same instruction trigger factor; The progressive control sequence construction unit is used to construct a progressive control sequence when there is a sequence item recording a communication transmission link in the multi-element control sequence.

6. The intelligent control system for intelligent devices according to claim 5, characterized in that: The device update analysis module includes a user operation data calling unit, a device deletion analysis unit and a device addition analysis unit; The user operation data calling unit is used to call the active intervention data of the user based on the operation record of the smart device; The device deletion analysis unit is used to analyze the correlation coefficient to delete the sequence items, and update the target regulation sequence in which the factor correlation sequence is located; The newly added analysis unit of the device is used to analyze the number of active interventions and send a signal reminder to the marked smart device as a newly added smart device in the target control sequence where the corresponding instruction trigger factor is located.

7. An intelligent device intelligent control storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, an intelligent control method for an intelligent device according to any one of claims 1 to 3 is implemented.

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