CN117346271B - Indoor environment management and control system and method based on visual ai deep learning - Google Patents
Indoor environment management and control system and method based on visual ai deep learning Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention relates to the technical field of environment control, in particular to an indoor environment control system and method based on visual ai deep learning, wherein the method comprises the following steps: respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction; identifying and extracting all environment regulation events in the regulation command sequence according to target regulation parameter items of all historical environment regulation commands in the regulation command sequence and information distribution conditions presented by a target regulation region; respectively calculating characteristic indexes of the environment regulation events based on event distribution conditions of the environment regulation events, and screening the characteristic environment regulation events based on the characteristic indexes; an indoor characteristic environment control model is built, all environment control instructions initiated by a user to an indoor environment central control end are analyzed in real time, and all environment control instructions are intelligently adjusted based on the indoor characteristic environment control model.
Description
Technical Field
The invention relates to the technical field of environment control, in particular to an indoor environment control system and method based on visual ai deep learning.
Background
Environmental problems are always concerned, however, people cannot intuitively find some problems in the environment, and the aim of digital environmental monitoring can be intuitively realized by means of modern intelligent technological means. According to the monitored environmental data, artificial regulation and control measures can be adopted, a more perfect environmental monitoring system is realized, and people can adjust the environment to self favorite environmental configuration to perform proper environmental regulation and control.
In the process of indoor environment regulation and control, due to unreasonable indoor equipment layout, the indoor environment parameter adjustment distribution is often uneven, for example, the position, distance and orientation of equipment, indoor space structure and other factors can influence the indoor environment parameter adjustment distribution. Therefore, when designing the equipment layout, the factors such as equipment position setting, orientation selection and the like need to be considered so as to achieve uniform distribution of adjustment of various indoor environmental parameters; meanwhile, in the process of arranging personalized environment regulation for users, regulation and control changes caused by the phenomena are considered.
Disclosure of Invention
The invention aims to provide an indoor environment management and control system and method based on visual ai deep learning, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an indoor environment control method based on visual ai deep learning, the method comprises the following steps:
step S100: extracting all historical environment regulation and control instructions initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control instruction sequence; respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction; the environment central control terminal is used for carrying out centralized control on all indoor environment parameters, one environment control device is used for carrying out environment data adjustment on at least one indoor environment parameter item, and at least one environment data corresponding to the indoor environment parameter item can be obtained from one environment control device terminal;
step S200: identifying and extracting all environment regulation events in the regulation command sequence according to target regulation parameter items of all historical environment regulation commands in the regulation command sequence and information distribution conditions presented by a target regulation region;
step S300: respectively calculating characteristic indexes of the environment regulation events based on event distribution conditions of the environment regulation events, and screening the characteristic environment regulation events based on the characteristic indexes;
step S400: according to characteristic environment regulation data acquired from each characteristic environment regulation event, an indoor characteristic environment regulation model is constructed, each environment regulation instruction initiated by a user to an indoor environment central control end is analyzed in real time, and intelligent adjustment is performed on each environment regulation instruction based on the indoor characteristic environment regulation model.
Further, step S100 includes:
step S101: acquiring environment data displayed on each environment regulation equipment end before a user initiates each historical environment regulation instruction to an indoor environment central control end, and collecting and obtaining a first environment data set A1= { a corresponding to each historical environment regulation instruction 1 、a 2 、...、a n -a }; wherein a is 1 、a 2 、...、a n Respectively representing the corresponding environmental data on the 1 st, 2 nd, n th environmental parameter items indoors before the user initiates each history environmental regulation instruction; acquiring a first environment data set A1= { a of each historical environment regulation instruction 1 、a 2 、...、a n On the basis of the above, after executing each history environment regulation instruction, collecting the environment data displayed on each environment regulation equipment end to obtain a second environment data set A2= { a corresponding to each history environment regulation instruction 1 '、a 2 '、...、a n ' s; wherein a is 1 '、a 2 '、...、a n ' respectively representing the environmental data corresponding to the 1 st, 2 nd, n th environmental parameter items indoors after the environmental control terminal executes each history environmental regulation instruction;
step S102: when the environmental data a corresponding to the ith environmental parameter item in the second environmental data set A2 of a certain historical environmental regulation instruction i ' environmental data a corresponding to the ith environmental parameter item in the first environmental data set A1 of a certain historical environmental regulation instruction i Satisfy a i ≠a i ' judging the ith environmental parameter item as a target regulation parameter item of a certain historical environmental regulation instruction, and collecting to obtain a target regulation parameter item set corresponding to the certain historical environmental regulation instruction;
comparing the environmental data displayed at each indoor environmental control equipment end before and after the execution of the environmental control instruction, and if the environmental data change occurs, defaulting to a result to be adjusted by a current user initiating a target of the environmental control instruction;
step S103: identifying each user corresponding to each historical environment regulation instruction initiated to the environment central control terminal through a visual ai technology, capturing a time stamp tr corresponding to each user when each historical environment regulation instruction is initiated to the indoor environment central control terminal, extracting a first environment data set A1= { a, wherein the first environment data set A1= { a is displayed by each indoor environment regulation equipment terminal when the environment data displayed by each indoor environment regulation equipment terminal is initially distributed 1 、a 2 、...、a n A timestamp te corresponding to the time; the method comprises the steps of setting movable units, and dividing an indoor area into a plurality of movable units; judging that the time ranges [ tr, te ] are within]All the activity units related to the activity path of the inner user are target regulation and control areas of a certain historical environment regulation and control instruction, and a target regulation and control area set corresponding to the certain historical environment regulation and control instruction is collected;
the above-mentioned process of obtaining the target regulation and control region is to further search the region which is desired to be directly acted in the indoor range for the result to be regulated by the user which will initiate the environmental regulation and control instruction.
Further, step S200 includes:
step S201: taking every two historical environment regulation and control instructions which are initiated by the same user and are adjacent to each other in the regulation and control instruction sequence as a target regulation and control node; the j-th historical environment configured as a target regulation nodeThe target regulation parameter item set of the regulation instruction is Q j 1, the target regulatory region set is Q j 2, the j+1th historical environment regulation instruction of a certain target regulation node has a target regulation parameter item set of Q j+1 1, the target regulatory region set is Q j+1 2；
Step S202: the method comprises the steps that the method is arranged in a target regulation node, a user initiating a j-th historical environment regulation instruction to an indoor environment central control end is P1, a corresponding time stamp when the P1 initiates the j-th historical environment regulation instruction is T (j), a user initiating a j+1th historical environment regulation instruction to the indoor environment central control end is P2, a corresponding time stamp when the P2 initiates the j+1th historical environment regulation instruction is T (j+1), and P1=P2; when T (j+1) -T (j) +.Tf, where Tf represents the time difference threshold and Q j 1∩Q j+1 1=U1≠∅，Q j 2∩Q j+1 2=u2+. ∅, each environmental parameter item Y in the set U1 is sequentially associated with each target regulation and control region X in the set U2 one by one, and a plurality of environmental regulation and control events Y ↔ X are constructed and generated;
if the interval duration between two environmental regulation instructions is shorter and the environmental regulation instructions with shorter interval duration are initiated by the same user, if an intersection exists between the target regulation parameter item set corresponding to the two environmental regulation instructions and the target regulation area set, it means that regulation association exists between the two environmental regulation instructions, and the later environmental regulation instruction may be further regulated by the same user for the previous regulation instruction.
Further, step S300 includes:
step S301: extracting all environment regulation events constructed and generated according to all target regulation nodes existing in a regulation command sequence, and if a certain environment regulation event is constructed and generated based on a certain target regulation node in the regulation command sequence, and a user corresponding to the certain target regulation node is R, performing association marking on the certain environment regulation event and the user R;
step S302: setting the total number of the constructed and generated environment regulation events as M according to all target regulation nodes existing in the regulation instruction sequence, and setting the total number of certain environment regulation events contained in the M environment regulation events as N; setting the total number of the users initiating the regulation command extracted according to the regulation command sequence as W, wherein association marks exist between the U users and a certain environmental regulation event;
step S303: calculating the characteristic index beta= (N/M) of a certain environment regulation event (U/W), and taking the certain environment regulation event as the characteristic environment regulation event if the characteristic index beta of the certain environment regulation event is larger than a threshold value.
Further, step S400 includes:
step S401: if an environmental parameter item Y 'is constructed and generated from a certain target regulation node in a regulation command sequence, a certain characteristic environmental regulation event Y' ↔ X 'with a target regulation region X' is formed, the certain target regulation node is a historical environmental regulation command f1 and a historical environmental regulation command f2, and the historical environmental regulation command f1 is a previous command of the historical environmental regulation command f 2;
step S402: respectively acquiring environmental data g and environmental data h displayed on an environmental regulation equipment end corresponding to an environmental parameter item Y ' according to a historical environmental regulation instruction f1 and a historical environmental regulation instruction f2 in a certain target regulation node, generating a data pair (g, h), and taking the data pair (g, h) as characteristic environmental regulation data which is extracted from the certain target regulation node and corresponds to a certain characteristic environmental regulation event Y ' ↔ X ';
step S403: respectively collecting all characteristic environment regulation data of each characteristic environment regulation event, respectively carrying out linear fitting on all characteristic environment regulation data of each characteristic environment regulation event, and generating an indoor characteristic environment regulation model h=d×g+v corresponding to each characteristic environment regulation event; wherein D is a constant and v is a constant;
step S404: if a user in the room initiates an environment regulation command E to an environment central control end, acquiring a target regulation parameter item set S1 and a target regulation area set S2 of the environment regulation command E; if a certain target regulation and control parameter item existing in the S1 and a certain target regulation and control region existing in the S2 form a certain characteristic environment regulation and control event G, acquiring environment data displayed on an environment regulation and control equipment end corresponding to the certain target regulation and control parameter item based on an environment regulation and control instruction E, taking the environment data as input of an indoor characteristic environment regulation and control model of the characteristic environment regulation and control event G, and automatically adjusting the regulation and control content related to the certain target regulation and control parameter item in the environment regulation and control instruction E according to the environment data displayed on an output end.
In order to better implement the method, an indoor environment management and control system is also provided, and the system comprises: the system comprises a regulation and control instruction information carding module, an environment regulation and control event extraction management module, a characteristic environment regulation and control event screening module and an instruction intelligent regulation management module;
the regulation and control instruction information carding module is used for extracting all historical environment regulation and control instructions initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control instruction sequence; respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction;
the environment regulation and control event extraction management module is used for identifying and extracting all environment regulation and control events in the regulation and control instruction sequence according to target regulation and control parameter items of all historical environment regulation and control instructions in the regulation and control instruction sequence and information distribution conditions presented by a target regulation and control area;
the characteristic environment regulation event screening module is used for respectively carrying out characteristic index calculation on each environment regulation event based on the event distribution condition of each environment regulation event and screening the characteristic environment regulation event based on the characteristic index;
the intelligent instruction adjustment management module is used for constructing an indoor characteristic environment management and control model according to characteristic environment regulation and control data acquired from each characteristic environment regulation and control event, analyzing each environment regulation and control instruction initiated by a user to an indoor environment central control end in real time, and intelligently adjusting each environment regulation and control instruction based on the indoor characteristic environment management and control model.
Further, the regulation and control instruction information carding module comprises an instruction sequence carding unit, a target regulation and control parameter item identification unit and a target regulation and control area identification unit;
the command sequence carding unit is used for extracting all historical environment regulation and control commands initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control command sequence;
the target regulation and control parameter item identification unit is used for judging and identifying target regulation and control parameter items for each historical environment regulation and control instruction respectively;
the target regulation and control area identification unit is used for judging and identifying the target regulation and control area for each historical environment regulation and control instruction respectively.
Further, the characteristic environment regulation event screening module comprises a characteristic index calculation unit and a characteristic environment regulation event screening unit;
the characteristic index calculation unit is used for calculating the characteristic index of each environment regulation event based on the event distribution condition of each environment regulation event;
the characteristic environment regulation event screening unit is used for screening out characteristic environment regulation events according to the characteristic indexes of the environment regulation events.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the environment regulation events are extracted from the extracted regulation instruction sequence, and in all the environment regulation events, the characteristic environment regulation events caused by the fact that the regulation distribution is uneven in the indoor environment parameter adjustment process due to the unreasonable indoor equipment layout or the complicated indoor space structure and the like are further captured, so that the personalized environment regulation rules are arranged for the user, the regulation change caused by the phenomenon is considered, the personalized environment regulation management for the user is realized, the environment regulation efficiency of the user is improved, and better user experience is brought to the user.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of an indoor environment control method based on visual ai deep learning;
fig. 2 is a schematic structural diagram of an indoor environment management and control system based on visual ai deep learning.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: an indoor environment control method based on visual ai deep learning, the method comprises the following steps:
step S100: extracting all historical environment regulation and control instructions initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control instruction sequence; respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction;
wherein, step S100 includes:
step S101: acquiring environment data displayed on each environment regulation equipment end before a user initiates each historical environment regulation instruction to an indoor environment central control end, and collecting and obtaining a first environment data set A1= { a corresponding to each historical environment regulation instruction 1 、a 2 、...、a n -a }; wherein a is 1 、a 2 、...、a n Respectively representing the corresponding environmental data on the 1 st, 2 nd, n th environmental parameter items indoors before the user initiates each history environmental regulation instruction; acquiring a first environment data set A1= { a of each historical environment regulation instruction 1 、a 2 、...、a n On the basis of the above, after executing each history environment regulation instruction, collecting the environment data displayed on each environment regulation equipment end to obtain a second environment data set A2= { a corresponding to each history environment regulation instruction 1 '、a 2 '、...、a n ' s; wherein a is 1 '、a 2 '、...、a n ' respectively showing that the control end in the environment has finished executing each calendarAfter history of environmental regulation instructions, corresponding environmental data on the 1 st, 2 nd, n th environmental parameter items indoors;
step S102: when the environmental data a corresponding to the ith environmental parameter item in the second environmental data set A2 of a certain historical environmental regulation instruction i ' environmental data a corresponding to the ith environmental parameter item in the first environmental data set A1 of a certain historical environmental regulation instruction i Satisfy a i ≠a i ' judging the ith environmental parameter item as a target regulation parameter item of a certain historical environmental regulation instruction, and collecting to obtain a target regulation parameter item set corresponding to the certain historical environmental regulation instruction;
step S103: identifying each user corresponding to each historical environment regulation instruction initiated to the environment central control terminal through a visual ai technology, capturing a time stamp tr corresponding to each user when each historical environment regulation instruction is initiated to the indoor environment central control terminal, extracting a first environment data set A1= { a, wherein the first environment data set A1= { a is displayed by each indoor environment regulation equipment terminal when the environment data displayed by each indoor environment regulation equipment terminal is initially distributed 1 、a 2 、...、a n A timestamp te corresponding to the time; the method comprises the steps of setting movable units, and dividing an indoor area into a plurality of movable units; judging that the time ranges [ tr, te ] are within]All the activity units related to the activity path of the inner user are target regulation and control areas of a certain historical environment regulation and control instruction, and a target regulation and control area set corresponding to the certain historical environment regulation and control instruction is collected;
step S200: identifying and extracting all environment regulation events in the regulation command sequence according to target regulation parameter items of all historical environment regulation commands in the regulation command sequence and information distribution conditions presented by a target regulation region;
wherein, step S200 includes:
step S201: taking every two historical environment regulation and control instructions which are initiated by the same user and are adjacent to each other in the regulation and control instruction sequence as a target regulation and control node; set the target regulation parameter item set of the jth historical environment regulation instruction forming a certain target regulation node as Q j 1, the target regulatory region set is Q j 2, the j+1th historical environment regulation instruction of a certain target regulation node has a target regulation parameter item set of Q j+1 1, the target regulatory region set is Q j+1 2；
Step S202: the method comprises the steps that the method is arranged in a target regulation node, a user initiating a j-th historical environment regulation instruction to an indoor environment central control end is P1, a corresponding time stamp when the P1 initiates the j-th historical environment regulation instruction is T (j), a user initiating a j+1th historical environment regulation instruction to the indoor environment central control end is P2, a corresponding time stamp when the P2 initiates the j+1th historical environment regulation instruction is T (j+1), and P1=P2; when T (j+1) -T (j) +.Tf, where Tf represents the time difference threshold and Q j 1∩Q j+1 1=U1≠∅，Q j 2∩Q j+1 2=u2+. ∅, each environmental parameter item Y in the set U1 is sequentially associated with each target regulation and control region X in the set U2 one by one, and a plurality of environmental regulation and control events Y ↔ X are constructed and generated;
step S300: respectively calculating characteristic indexes of the environment regulation events based on event distribution conditions of the environment regulation events, and screening the characteristic environment regulation events based on the characteristic indexes;
wherein, step S300 includes:
step S301: extracting all environment regulation events constructed and generated according to all target regulation nodes existing in a regulation command sequence, and if a certain environment regulation event is constructed and generated based on a certain target regulation node in the regulation command sequence, and a user corresponding to the certain target regulation node is R, performing association marking on the certain environment regulation event and the user R;
step S302: setting the total number of the constructed and generated environment regulation events as M according to all target regulation nodes existing in the regulation instruction sequence, and setting the total number of certain environment regulation events contained in the M environment regulation events as N; setting the total number of the users initiating the regulation command extracted according to the regulation command sequence as W, wherein association marks exist between the U users and a certain environmental regulation event;
step S303: calculating a characteristic index beta= (N/M) of a certain environment regulation event (U/W), and taking the certain environment regulation event as a characteristic environment regulation event if the characteristic index beta of the certain environment regulation event is larger than a threshold value;
step S400: according to characteristic environment regulation data acquired from each characteristic environment regulation event, an indoor characteristic environment regulation model is constructed, each environment regulation instruction initiated by a user to an indoor environment central control end is analyzed in real time, and each environment regulation instruction is intelligently regulated based on the indoor characteristic environment regulation model;
wherein, step S400 includes:
step S401: if an environmental parameter item Y 'is constructed and generated from a certain target regulation node in a regulation command sequence, a certain characteristic environmental regulation event Y' ↔ X 'with a target regulation region X' is formed, the certain target regulation node is a historical environmental regulation command f1 and a historical environmental regulation command f2, and the historical environmental regulation command f1 is a previous command of the historical environmental regulation command f 2;
step S402: respectively acquiring environmental data g and environmental data h displayed on an environmental regulation equipment end corresponding to an environmental parameter item Y ' according to a historical environmental regulation instruction f1 and a historical environmental regulation instruction f2 in a certain target regulation node, generating a data pair (g, h), and taking the data pair (g, h) as characteristic environmental regulation data which is extracted from the certain target regulation node and corresponds to a certain characteristic environmental regulation event Y ' ↔ X ';
step S403: respectively collecting all characteristic environment regulation data of each characteristic environment regulation event, respectively carrying out linear fitting on all characteristic environment regulation data of each characteristic environment regulation event, and generating an indoor characteristic environment regulation model h=d×g+v corresponding to each characteristic environment regulation event; wherein D is a constant and v is a constant;
step S404: if a user in the room initiates an environment regulation command E to an environment central control end, acquiring a target regulation parameter item set S1 and a target regulation area set S2 of the environment regulation command E; if a certain target regulation and control parameter item existing in the S1 and a certain target regulation and control region existing in the S2 form a certain characteristic environment regulation and control event G, acquiring environment data displayed on an environment regulation and control equipment end corresponding to the certain target regulation and control parameter item based on an environment regulation and control instruction E, taking the environment data as the input of an indoor characteristic environment regulation and control model of the characteristic environment regulation and control event G, and automatically regulating the regulation and control content related to the certain target regulation and control parameter item in the environment regulation and control instruction E according to the environment data displayed on an output end;
for example, it is monitored that the indoor user 1 initiates an environmental regulation command E to the environmental central control terminal, where an environmental regulation event formed by a temperature item F in a target regulation parameter item set S1 of the environmental regulation command E and an area 1 in a target regulation area set S2 of the environmental regulation command E is a characteristic environmental regulation event, and an indoor characteristic environmental regulation model of the characteristic environmental regulation event is h=1.2×g-6; if the environmental data displayed on the temperature regulation device side corresponding to the temperature item is 26 degrees based on the environmental regulation command E, the output environmental data is 25.2, i.e. h=1.2×26-6=25.2, so 26 degrees are the temperature data actually desired to be enjoyed by the user, and according to the actual regulation situation of the temperature item in the area 1, the environmental data displayed on the temperature regulation device side corresponding to the temperature item should be actually regulated to 25.2, so that the user can actually enjoy the temperature of 26 degrees in the area 1, that is, the temperature regulation effect of the temperature regulation device on the area 1 is poor.
In order to better implement the method, an indoor environment management and control system is also provided, and the system comprises: the system comprises a regulation and control instruction information carding module, an environment regulation and control event extraction management module, a characteristic environment regulation and control event screening module and an instruction intelligent regulation management module;
the regulation and control instruction information carding module is used for extracting all historical environment regulation and control instructions initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control instruction sequence; respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction;
the regulation and control instruction information carding module comprises an instruction sequence carding unit, a target regulation and control parameter item identification unit and a target regulation and control area identification unit;
the command sequence carding unit is used for extracting all historical environment regulation and control commands initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control command sequence;
the target regulation and control parameter item identification unit is used for judging and identifying target regulation and control parameter items for each historical environment regulation and control instruction respectively;
the target regulation and control area identification unit is used for judging and identifying the target regulation and control area for each historical environment regulation and control instruction respectively;
the environment regulation and control event extraction management module is used for identifying and extracting all environment regulation and control events in the regulation and control instruction sequence according to target regulation and control parameter items of all historical environment regulation and control instructions in the regulation and control instruction sequence and information distribution conditions presented by a target regulation and control area;
the characteristic environment regulation event screening module is used for respectively carrying out characteristic index calculation on each environment regulation event based on the event distribution condition of each environment regulation event and screening the characteristic environment regulation event based on the characteristic index;
the characteristic environment regulation event screening module comprises a characteristic index calculation unit and a characteristic environment regulation event screening unit;
the characteristic index calculation unit is used for calculating the characteristic index of each environment regulation event based on the event distribution condition of each environment regulation event;
the characteristic environment regulation event screening unit is used for screening out characteristic environment regulation events according to the characteristic indexes of the environment regulation events;
the intelligent instruction adjustment management module is used for constructing an indoor characteristic environment management and control model according to characteristic environment regulation and control data acquired from each characteristic environment regulation and control event, analyzing each environment regulation and control instruction initiated by a user to an indoor environment central control end in real time, and intelligently adjusting each environment regulation and control instruction based on the indoor characteristic environment management and control model.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. An indoor environment control method based on visual ai deep learning, which is characterized by comprising the following steps:
step S100: extracting all historical environment regulation and control instructions initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control instruction sequence; respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction;
step S200: identifying and extracting all environment regulation events in the regulation command sequence according to target regulation parameter items of all historical environment regulation commands in the regulation command sequence and information distribution conditions presented by a target regulation region;
step S300: calculating characteristic indexes of the environment regulation events based on event distribution conditions of the environment regulation events respectively, and screening characteristic environment regulation events based on the characteristic indexes;
step S400: according to characteristic environment regulation data acquired from each characteristic environment regulation event, an indoor characteristic environment regulation model is constructed, each environment regulation instruction initiated by a user to an indoor environment central control end is analyzed in real time, and intelligent adjustment is performed on each environment regulation instruction based on the indoor characteristic environment regulation model;
the step S100 includes:
step S101: acquiring environment data displayed on each environment regulation equipment end before a user initiates each historical environment regulation instruction to an indoor environment central control end, and collecting and obtaining a first environment data set A1= { a corresponding to each historical environment regulation instruction 1 、a 2 、...、a n -a }; wherein a is 1 、a 2 、...、a n Respectively representing the corresponding environmental data on the 1 st, 2 nd, n th environmental parameter items indoors before the user initiates each history environmental regulation instruction; acquiring a first environment data set A1= { a of each historical environment regulation instruction 1 、a 2 、...、a n On the basis of the above, after the execution of the above-mentioned historical environmental regulation and control instructions, the environmental data displayed on the end of each environmental regulation and control equipment is collected to obtain a second environmental data set A2= { a corresponding to each historical environmental regulation and control instruction 1 '、a 2 '、...、a n ' s; wherein a is 1 '、a 2 '、...、a n ' respectively representing the environmental data corresponding to the 1 st, 2 nd, n th environmental parameter items indoors after the environmental control terminal executes each history environmental regulation instruction;
step S102: when the environmental data a corresponding to the ith environmental parameter item in the second environmental data set A2 of a certain historical environmental regulation instruction i ' environmental data a corresponding to the ith environmental parameter item in the first environmental data set A1 of a certain historical environmental regulation instruction i Satisfy a i ≠a i ' judging the ith environmental parameter item as a target regulation parameter item of the certain historical environmental regulation instruction, and collecting to obtain a target regulation parameter item set corresponding to the certain historical environmental regulation instruction;
step S103: identifying each user corresponding to each historical environment regulation instruction initiated to the environment central control terminal through a visual ai technology, and capturing the corresponding time of each user when each historical environment regulation instruction is initiated to the indoor environment central control terminalThe timestamp tr is extracted, the environmental data displayed by each indoor environmental regulation equipment end is initially distributed and presents a first environmental data set A1= { a of each historical environmental regulation instruction, wherein the first environmental data set A1= { a is closest to the timestamp tr 1 、a 2 、...、a n A timestamp te corresponding to the time; the method comprises the steps of setting movable units, and dividing an indoor area into a plurality of movable units; judging that the time ranges [ tr, te ] are within]All activity units related to the activity path of the inner user are target regulation and control areas of the certain historical environment regulation and control instruction, and a target regulation and control area set corresponding to the certain historical environment regulation and control instruction is obtained through aggregation;
the step S200 includes:
step S201: taking every two historical environment regulation and control instructions which are initiated by the same user and are adjacent to each other in the regulation and control instruction sequence as a target regulation and control node; set the target regulation parameter item set of the jth historical environment regulation instruction forming a certain target regulation node as Q j 1, the target regulatory region set is Q j 2, the target regulation parameter item set of the j+1th historical environment regulation instruction forming the certain target regulation node is Q j+1 1, the target regulatory region set is Q j+1 2；
Step S202: the target regulation node is arranged, the user initiating the j-th historical environment regulation instruction to the indoor environment central control end is P1, the corresponding time stamp when the P1 initiates the j-th historical environment regulation instruction is T (j), the user initiating the j+1th historical environment regulation instruction to the indoor environment central control end is P2, the corresponding time stamp when the P2 initiates the j+1th historical environment regulation instruction is T (j+1), and P1=P2; when T (j+1) -T (j) +.Tf, where Tf represents the time difference threshold and Q j 1∩Q j+1 1=U1≠∅，Q j 2∩Q j+1 2=u2+. ∅, each environmental parameter item Y in the set U1 is sequentially associated with each target regulation and control region X in the set U2 one by one, and a plurality of environmental regulation and control events Y ↔ X are constructed and generated;
the step S300 includes:
step S301: extracting all environment regulation events constructed and generated according to all target regulation nodes existing in a regulation command sequence, and if a certain environment regulation event is constructed and generated based on a certain target regulation node in the regulation command sequence, and a user corresponding to the certain target regulation node is R, performing association marking on the certain environment regulation event and the user R;
step S302: setting the total number of the constructed and generated environment regulation events as M according to all target regulation nodes existing in the regulation instruction sequence, and setting the total number of certain environment regulation events contained in the M environment regulation events as N; setting the total number of the users initiating the regulation command extracted according to the regulation command sequence as W, wherein association marks exist between the U users and the certain environmental regulation event;
step S303: calculating a characteristic index beta= (N/M) of the certain environment regulation event (U/W), and taking the certain environment regulation event as a characteristic environment regulation event if the characteristic index beta of the certain environment regulation event is larger than a threshold value;
the step S400 includes:
step S401: if an environmental parameter item is Y 'and a characteristic environmental regulation event Y' ↔ X 'with a target regulation area of X' is constructed and generated from a certain target regulation node in a regulation instruction sequence, the certain target regulation node is formed into a historical environmental regulation instruction f1 and a historical environmental regulation instruction f2, and the historical environmental regulation instruction f1 is the previous instruction of the historical environmental regulation instruction f 2;
step S402: respectively acquiring an environmental data g and an environmental data h displayed on an environmental regulation equipment end corresponding to an environmental parameter item Y ' according to a historical environmental regulation instruction f1 and a historical environmental regulation instruction f2 in a certain target regulation node, generating a data pair (g, h), and taking the data pair (g, h) as characteristic environmental regulation data which is extracted from the certain target regulation node and corresponds to a certain characteristic environmental regulation event Y ' ↔ X ';
step S403: respectively collecting all characteristic environment regulation data of each characteristic environment regulation event, respectively carrying out linear fitting on all characteristic environment regulation data of each characteristic environment regulation event, and generating an indoor characteristic environment regulation model h=d×g+v corresponding to each characteristic environment regulation event; wherein D is a constant and v is a constant;
step S404: if a user in a room initiates an environment regulation command E to an environment central control end, acquiring a target regulation parameter item set S1 and a target regulation region set S2 of the environment regulation command E; if a certain target regulation and control parameter item existing in the S1 and a certain target regulation and control area existing in the S2 form a certain characteristic environment regulation and control event G, acquiring environmental data displayed on an environment regulation and control equipment end corresponding to the certain target regulation and control parameter item based on the environment regulation and control instruction E, taking the environmental data as input of an indoor characteristic environment regulation and control model of the characteristic environment regulation and control event G, and automatically regulating the regulation and control content related to the certain target regulation and control parameter item in the environment regulation and control instruction E according to the environmental data displayed on an output end.
2. An indoor environment management and control system for performing an indoor environment management and control method based on visual ai deep learning as set forth in claim 1, said system comprising: the system comprises a regulation and control instruction information carding module, an environment regulation and control event extraction management module, a characteristic environment regulation and control event screening module and an instruction intelligent regulation management module;
the regulation and control instruction information carding module is used for extracting all historical environment regulation and control instructions initiated by a user to an indoor environment central control end according to time sequence to obtain a regulation and control instruction sequence; respectively judging and identifying target regulation parameter items and target regulation areas for each historical environment regulation instruction;
the environment regulation and control event extraction management module is used for identifying and extracting all environment regulation and control events in the regulation and control instruction sequence according to target regulation and control parameter items of all historical environment regulation and control instructions in the regulation and control instruction sequence and information distribution conditions presented by a target regulation and control area;
the characteristic environment regulation event screening module is used for respectively carrying out characteristic index calculation on each environment regulation event based on event distribution conditions of each environment regulation event and screening the characteristic environment regulation event based on the characteristic index;
the intelligent instruction adjustment management module is used for constructing an indoor characteristic environment management and control model according to characteristic environment regulation and control data acquired from each characteristic environment regulation and control event, analyzing each environment regulation and control instruction initiated by a user to an indoor environment central control end in real time, and intelligently adjusting each environment regulation and control instruction based on the indoor characteristic environment management and control model.
3. The indoor environment management and control system according to claim 2, wherein the regulation and control instruction information carding module comprises an instruction sequence carding unit, a target regulation and control parameter item identification unit and a target regulation and control area identification unit;
the command sequence carding unit is used for extracting all historical environment regulation commands initiated by a user to an indoor environment central control end in a time sequence manner to obtain a regulation command sequence;
the target regulation and control parameter item identification unit is used for judging and identifying target regulation and control parameter items for each historical environment regulation and control instruction respectively;
the target regulation and control area identification unit is used for judging and identifying the target regulation and control area for each historical environment regulation and control instruction respectively.
4. The indoor environment control system according to claim 2, wherein the characteristic environment control event screening module comprises a characteristic index calculation unit, a characteristic environment control event screening unit;
the characteristic index calculation unit is used for calculating the characteristic index of each environment regulation event based on the event distribution condition of each environment regulation event;
the characteristic environment regulation event screening unit is used for screening out characteristic environment regulation events according to the characteristic indexes of the environment regulation events.
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