CN114926306A - Apartment house scene mode artificial intelligence interaction method and system - Google Patents
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Abstract
The invention relates to the technical field of intelligent management, and particularly discloses an artificial intelligence interaction method and system for apartment house contextual models, wherein the method comprises the steps of establishing a connecting channel with a building database, and reading an apartment model in the building database; acquiring parameter information of energy consumption equipment based on a preset filing template, and filling the submodel according to the acquired parameter information; acquiring energy consumption data based on the filled apartment model, and dynamically correcting the apartment model in real time according to the energy consumption data; and receiving the contextual model sent by each resident, and sending a regulation and control instruction according to the contextual model and the apartment model. On the basis of higher intelligent level of apartment houses, the invention records energy consumption equipment of residents, monitors the energy utilization state of the users in real time, and generates some regulating and controlling instructions in real time by combining the energy utilization intention of the users, thereby not only saving the living cost of the users, but also reducing the energy waste.
Description
Technical Field
The invention relates to the technical field of intelligent management, in particular to an artificial intelligence interaction method and system for apartment house contextual models.
Background
Apartments are the most widespread one of the commercial property investments. The apartment house is the ship at the earliest, and is more economical and practical compared with a villa of a single family. Early apartment houses in large cities were high-rise buildings, each of which had several apartments for individual users, including bedrooms, living rooms, bathrooms, toilets, kitchens, and the like.
Compared with the common house, the apartment house is different from the common house in that the energy cost is higher, the simplest apartment house uses commercial power, does not use fuel gas, is expensive and has higher living cost, and the residents often spend some 'extra money' because the residents can not use the house well; in addition, most of the products are delivered by fine decoration, the design quality is high, and the intelligent level is high; how to add some energy management and control functions on the basis of the existing intelligent level is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide an apartment house contextual model artificial intelligence interaction method and an apartment house contextual model artificial intelligence interaction system, which are used for solving the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an apartment house contextual model artificial intelligence interaction method, comprising:
establishing a connection channel with a building database, and reading an apartment model in the building database; the apartment model comprises a sub-model with resident information as a label;
sending a filing request containing a preset filing template to each resident, acquiring parameter information of energy consumption equipment based on the filing template, and filling the sub-model according to the acquired parameter information; the parameter information comprises physical parameters and position information of the energy consumption equipment;
acquiring energy consumption data based on the filled apartment model, and dynamically correcting the apartment model in real time according to the energy consumption data;
and receiving the contextual model sent by each resident, and sending a regulation and control instruction to the room where the corresponding resident is located according to the contextual model and the real-time dynamically modified apartment model.
As a further scheme of the invention: the steps of sending a filing request containing a preset filing template to each resident, acquiring parameter information of the energy consumption equipment based on the filing template, and filling the submodel according to the acquired parameter information include:
sequentially reading sub models in an apartment model, and numbering the sub models according to the position information of the sub models relative to the apartment model;
sequentially sending a filing request to each resident according to the numbering sequence of the sub-models, and sending a filing template to the resident when receiving the consent information fed back by the resident;
receiving a filled filing template sent by a user, and inputting the filled filing template into a trained recognition model to obtain integrity;
and when the integrity reaches a preset integrity threshold, acquiring the parameter information of the energy consumption equipment according to the filled filing template, and filling the sub-model according to the acquired parameter information.
As a further scheme of the invention: when the integrity reaches a preset integrity threshold, acquiring the parameter information of the energy consumption equipment according to the filled filing template, and filling the submodel according to the acquired parameter information, wherein the steps of:
reading the position parameters of each energy consumption device in the well-filled record template, and generating position points in the sub-model corresponding to the resident according to the position parameters;
reading physical parameters of each energy consumption device in the well-filled record template, and reading a virtual model corresponding to the energy consumption device in a preset model library according to the physical parameters;
and inserting the virtual model into the corresponding position point.
As a further scheme of the invention: the step of collecting energy consumption data based on the filled apartment model and dynamically correcting the apartment model in real time according to the energy consumption data comprises the following steps:
acquiring working parameters of energy consumption equipment corresponding to the virtual model in each sub-model in the apartment model according to a preset frequency to obtain a working table; the working parameters contain time information, and the working table is sorted according to the time information;
inputting the worksheet into a trained conversion model to obtain a feature array;
sequentially reading characteristic values in the characteristic array, calculating the ratio between the characteristic values and a preset standard characteristic value, and determining the initial brightness of a virtual model corresponding to the energy consumption equipment according to the ratio;
reading the previous characteristic value of the characteristic values in the characteristic array, calculating the offset rate between the two characteristic values, and correcting the initial brightness according to the offset rate to obtain the display brightness;
and displaying the apartment model according to the display brightness.
As a further scheme of the invention: the step of receiving the contextual model sent by each resident and sending a regulation and control instruction to the room where the corresponding resident is located according to the contextual model and the real-time dynamically corrected apartment model comprises the following steps:
receiving the contextual models sent by each resident, and inquiring the standard submodel corresponding to each contextual model in a preset standard model library;
counting and connecting each standard sub-model to obtain a standard apartment model;
performing logic operation on the apartment model dynamically corrected in real time and the standard apartment model;
determining a difference apartment model according to the logical operation result;
and generating a regulating instruction of each submodel according to the different apartment model, and sending the regulating instruction to the resident corresponding to the submodel.
As a further scheme of the invention: the step of generating the regulating and controlling instruction of each submodel according to the apartment difference model and sending the regulating and controlling instruction to the resident corresponding to the submodel comprises the following steps:
classifying virtual models in each submodel in the difference apartment model according to difference brightness;
counting the number of various virtual models in each sub-model in sequence, and determining the energy consumption characteristics of the sub-model according to the number of various virtual models;
determining the regulation priority of each sub-model according to the energy consumption characteristics;
sequentially acquiring parameter information corresponding to the virtual models in the sub-models according to the regulation priority, and determining the virtual models to be regulated according to the parameter information;
and generating a regulation and control instruction of the virtual model to be regulated, and sending the regulation and control instruction to the resident corresponding to the sub-model.
As a further scheme of the invention: the method further comprises the following steps:
receiving a rated energy consumption value containing time information sent by a manager, and determining a model mask according to the rated energy consumption value;
covering the displayed apartment model according to the model mask;
and determining warning information according to the covered apartment model, and sending the warning information to corresponding residents.
The technical scheme of the invention also provides an artificial intelligence interactive system for the apartment house scene mode, which comprises the following steps:
the apartment model reading module is used for establishing a connection channel with a building database and reading an apartment model in the building database; the apartment model comprises a sub-model taking resident information as a label;
the model filling module is used for sending a filing request containing a preset filing template to each resident, acquiring parameter information of the energy consumption equipment based on the filing template, and filling the sub-model according to the acquired parameter information; the parameter information comprises physical parameters and position information of the energy consumption equipment;
the dynamic correction module is used for acquiring energy consumption data based on the filled apartment models and dynamically correcting the apartment models in real time according to the energy consumption data;
and the regulation and control instruction generation module is used for receiving the contextual model sent by each resident and sending a regulation and control instruction to the room where the corresponding resident is located according to the contextual model and the real-time dynamically corrected apartment model.
As a further scheme of the invention: the model filling module comprises:
the numbering unit is used for sequentially reading the submodels in the apartment models and numbering the submodels according to the position information of the submodels relative to the apartment models;
the template sending unit is used for sequentially sending a filing request to each resident according to the numbering sequence of the sub-models, and sending a filing template to the resident when receiving the consent information fed back by the resident;
the integrity calculation unit is used for receiving the filled filing template sent by the user and inputting the filled filing template into the trained recognition model to obtain integrity;
and the processing execution unit is used for acquiring the parameter information of the energy consumption equipment according to the filled filing template and filling the sub-model according to the acquired parameter information when the integrity reaches a preset integrity threshold value.
As a further scheme of the invention: the process execution unit includes:
the position point generating subunit is used for reading the position parameters of the energy consumption devices in the well-filled filing template and generating position points in the sub-model corresponding to the resident according to the position parameters;
the model reading subunit is used for reading the physical parameters of each energy consumption device in the well-filled filing template, and reading the virtual model corresponding to the energy consumption device in a preset model library according to the physical parameters;
and the model inserting subunit is used for inserting the virtual model into the corresponding position point.
Compared with the prior art, the invention has the beneficial effects that: on the basis of higher intelligent level of apartment houses, the invention records energy consumption equipment of residents, monitors the energy utilization state of users in real time, and generates some regulating and controlling instructions in real time by combining the energy utilization intention of the users, thereby not only saving the living cost of the users, but also reducing the energy waste.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
FIG. 1 is a block diagram of a flow chart of an apartment house contextual model artificial intelligence interaction method.
Fig. 2 is a first sub-flow block diagram of an apartment house scene mode artificial intelligence interaction method.
Fig. 3 is a second sub-flow block diagram of an apartment house scene mode artificial intelligence interaction method.
Fig. 4 is a third sub-flow block diagram of an apartment house scene mode artificial intelligence interaction method.
Fig. 5 is a block diagram of a configuration of an apartment house scene mode artificial intelligence interactive system.
FIG. 6 is a block diagram of a model filling module in an apartment house contextual model artificial intelligence interactive system.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 is a block flow diagram of an apartment house contextual model artificial intelligence interaction method, and in an embodiment of the present invention, the apartment house contextual model artificial intelligence interaction method includes steps S100 to S400:
step S100: establishing a connection channel with a building database, and reading an apartment model in the building database; the apartment model comprises a sub-model with resident information as a label;
apartments are the most widespread one of the commercial property investments. The apartment house is the ship at the earliest, and is more economical and practical compared with a villa of a single family. Apartment houses in early large cities are high-rise buildings, and each floor is provided with a plurality of suite rooms which are used by single users and comprise bedrooms, living rooms, bathrooms, toilets, kitchens and the like; in the building process of the apartment, a building side has a building database, the existing building design process generally forms a three-dimensional model, and the three-dimensional model is read to be the apartment model.
Step S200: sending a filing request containing a preset filing template to each resident, acquiring parameter information of energy consumption equipment based on the filing template, and filling the submodel according to the acquired parameter information; the parameter information comprises physical parameters and position information of the energy consumption equipment;
after reading the apartment models, the apartment models need to be recorded, and the recording process is to obtain the information of energy consumption equipment used by each resident in the residence; the residence of the resident is the sub-model.
Step S300: acquiring energy consumption data based on the filled apartment model, and dynamically correcting the apartment model in real time according to the energy consumption data;
after each sub-model in the apartment model is filled, the system starts to collect the data of the energy consumption devices, and then corrects the filled apartment model to obtain a dynamic model, and the dynamic model reflects the energy consumption condition of each resident.
Step S400: receiving a contextual model sent by each resident, and sending a regulation and control instruction to a room where the corresponding resident is located according to the contextual model and the real-time dynamically corrected apartment model;
the contextual model refers to an energy consumption state, which comprises a standard mode, an energy-saving mode and the like; according to the profile, the system automatically controls the operating status of the energy consuming devices in the apartment, which is the function that step S400 wants to implement.
Fig. 2 is a block diagram of a first sub-process of an artificial intelligence interaction method in an apartment house contextual model, where the step of sending a filing request including a preset filing template to each resident, obtaining parameter information of energy consumption equipment based on the filing template, and filling the sub-model according to the obtained parameter information includes steps S201 to S204:
step S201: sequentially reading sub-models in an apartment model, and numbering the sub-models according to the position information of the sub-models relative to the apartment model;
step S202: sequentially sending a filing request to each resident according to the numbering sequence of the sub-models, and sending a filing template to the resident when receiving the consent information fed back by the resident;
step S203: receiving a filled filing template sent by a user, and inputting the filled filing template into the trained recognition model to obtain integrity;
step S204: and when the integrity reaches a preset integrity threshold value, acquiring parameter information of the energy consumption equipment according to the filled filing template, and filling the sub-model according to the acquired parameter information.
The steps S201 to S204 mainly describe the acquisition process of the energy consumption device, and first, each sub-model of the apartment model is numbered, so that the subsequent processing process can be more orderly through the numbering process; then, sending a filing request to the resident, wherein the process is allowed by the resident, and if the resident is allowed, sending a preset filing template to the resident; filling in the record template after the user receives the record template; and finally, the system carries out some simple positive and false identifications on the filled filing template to obtain a filling integrity, and when the integrity meets the requirement, a subsequent data filling link is started.
Further, when the integrity reaches a preset integrity threshold, acquiring parameter information of the energy consumption device according to the filled filing template, and filling the submodel according to the acquired parameter information, wherein the step of filling the submodel comprises:
reading the position parameters of each energy consumption device in the well-filled record template, and generating position points in the sub-model corresponding to the resident according to the position parameters;
reading physical parameters of each energy consumption device in the well-filled record template, and reading a virtual model corresponding to the energy consumption device in a preset model library according to the physical parameters;
and inserting the virtual model into the corresponding position point.
The data filling link is specifically described, and the filling process is divided into three steps, namely, firstly, a position point in the sub-model is determined according to the position parameter, then, a virtual model is determined according to the physical parameter, and finally, the virtual model is inserted into the corresponding position point.
Fig. 3 is a block diagram of a second sub-flow of an apartment house scene model artificial intelligence interaction method, where the step of collecting energy consumption data based on the populated apartment model and performing real-time dynamic modification on the apartment model according to the energy consumption data includes steps S301 to S305:
step S301: acquiring working parameters of energy consumption equipment corresponding to a virtual model in each submodel in the apartment model according to a preset frequency to obtain a working table; the working parameters contain time information, and the working table is sorted according to the time information;
step S302: inputting the worksheet into a trained conversion model to obtain a feature array;
step S303: sequentially reading characteristic values in the characteristic array, calculating the ratio between the characteristic values and a preset standard characteristic value, and determining the initial brightness of a virtual model corresponding to the energy consumption equipment according to the ratio;
step S304: reading the previous characteristic value of the characteristic values in the characteristic array, calculating the offset rate between the two characteristic values, and correcting the initial brightness according to the offset rate to obtain the display brightness;
step S305: and displaying the apartment model according to the display brightness.
The acquisition and application process of the energy consumption data is specifically limited, the working parameters of all the recorded energy consumption devices are acquired under the condition of preset frequency, the working parameters contain time information, and the acquired working parameters are inserted into a working table according to the time information; each worksheet corresponds to one submodel; the data in the worksheet are more complex and the units are not uniform, so that the data in the worksheet are converted into uniform characteristic values for data processing; the working parameters at different times all correspond to a characteristic value; finally, comparing the characteristic value with a standard characteristic value to determine the initial brightness of the virtual model; on the basis of the initial brightness, the analysis process of adjacent working parameters is added, so that the salience of brightness change can be effectively reduced.
It is conceivable that the finally generated apartment model is an apartment model including a plurality of virtual models, and the virtual models may be light or not.
Fig. 4 is a third sub-flow block diagram of an apartment house contextual model artificial intelligence interaction method, where the step of receiving contextual models sent by each resident and sending a regulation and control instruction to a room where a corresponding resident is located according to the contextual models and an apartment model dynamically modified in real time includes steps S401 to S405:
step S401: receiving contextual models sent by each resident, and inquiring standard submodels corresponding to the contextual models in a preset standard model library;
step S402: counting and connecting each standard sub-model to obtain a standard apartment model;
step S403: performing logical operation on the apartment model dynamically corrected in real time and the standard apartment model;
step S404: determining a difference apartment model according to the logical operation result;
step S405: and generating a regulation and control instruction of each submodel according to the difference apartment model, and sending the regulation and control instruction to the resident corresponding to the submodel.
Firstly, according to the contextual model sent by the resident, some standard submodels can be determined, and the relationship between the standard submodels and the contextual model is preset; connecting the standard sub-models to obtain a standard apartment model meeting all requirements of all residents at the moment; then, acquiring an actual situation, comparing the actual situation with a standard situation, and determining a difference apartment model, wherein the difference apartment model reflects the difference between the actual energy consumption situation and the ideal energy consumption situation of a user; finally, according to the difference, some regulating and controlling instructions can be generated and sent to each household.
Specifically, the step of generating a regulation and control instruction of each submodel according to the apartment difference model and sending the regulation and control instruction to the resident corresponding to the submodel includes:
classifying virtual models in each sub-model in the difference apartment model according to difference brightness;
counting the number of various virtual models in each submodel in sequence, and determining the energy consumption characteristics of the submodel according to the number of various virtual models;
determining the regulation priority of each sub-model according to the energy consumption characteristics;
sequentially acquiring parameter information corresponding to the virtual models in the sub-models according to the regulation priority, and determining the virtual models to be regulated according to the parameter information;
and generating a regulation and control instruction of the virtual model to be regulated, and sending the regulation and control instruction to the resident corresponding to the sub-model.
The process of generating the regulation and control instruction according to the difference apartment model is specifically limited, the difference in the difference apartment model is the difference between each virtual model and the standard situation, the virtual models belong to different sub-models (different energy consumption devices are used by different residents), and the virtual models are counted by taking the sub-models as units, so that which residents are more in need of adjustment can be determined, namely the meaning of the regulation and control priority.
Specifically, the generation process of the regulation and control instruction is very simple, the regulation and control instruction can be directly sent to the energy consumption equipment, the energy supply parameter can be regulated, and prompt information can be directly sent to residents.
As a preferred embodiment of the technical solution of the present invention, the method further comprises:
receiving a rated energy consumption value containing time information sent by a manager, and determining a model mask according to the rated energy consumption value;
covering the displayed apartment model according to the model mask;
and determining warning information according to the covered apartment model, and sending the warning information to corresponding residents.
In an example of the technical scheme of the invention, a management party can make some limits on energy consumption, the limits can be converted into model masks matched with the apartment models, irrelevant (low energy consumption) virtual models in the apartment models can be shielded according to the model masks, and only some virtual models with higher display brightness are left and correspond to energy consumption equipment with higher energy consumption; the owners of the energy consumption devices can be reminded, and the purpose of actual energy consumption management and control is achieved.
Example 2
Fig. 5 is a block diagram of a configuration of an apartment house scene mode artificial intelligence interactive system, in an embodiment of the present invention, the apartment house scene mode artificial intelligence interactive system includes:
an apartment model reading module 11, configured to establish a connection channel with a building database, and read an apartment model in the building database; the apartment model comprises a sub-model with resident information as a label;
the model filling module 12 is configured to send a filing request including a preset filing template to each household, acquire parameter information of the energy consumption device based on the filing template, and fill the sub-model according to the acquired parameter information; the parameter information comprises physical parameters and position information of the energy consumption equipment;
the dynamic correction module 13 is used for acquiring energy consumption data based on the filled apartment models and dynamically correcting the apartment models in real time according to the energy consumption data;
and the regulation and control instruction generation module 14 is configured to receive the contextual model sent by each resident, and send a regulation and control instruction to a room where the corresponding resident is located according to the contextual model and the real-time dynamically-corrected apartment model.
Fig. 6 is a block diagram illustrating a structure of a model filling module 12 in an apartment house scene mode artificial intelligence interactive system, where the model filling module 12 includes:
a numbering unit 121, configured to sequentially read submodels in an apartment model, and number the submodels according to position information of the submodels relative to the apartment model;
the template sending unit 122 is used for sequentially sending a filing request to each resident according to the numbering sequence of the sub-models, and sending a filing template to the resident when receiving the consent information fed back by the resident;
the integrity calculation unit 123 is configured to receive the filled filing template sent by the user, and input the filled filing template into the trained recognition model to obtain integrity;
and the processing execution unit 124 is configured to, when the integrity reaches a preset integrity threshold, obtain parameter information of the energy consumption device according to the filled filing template, and fill the sub-model according to the obtained parameter information.
The process execution unit 124 includes:
the position point generating subunit is used for reading the position parameters of the energy consumption devices in the well-filled filing template and generating position points in the sub-model corresponding to the resident according to the position parameters;
the model reading subunit is used for reading the physical parameters of each energy consumption device in the filled filing template and reading a virtual model corresponding to the energy consumption device in a preset model library according to the physical parameters;
and the model inserting subunit is used for inserting the virtual model into the corresponding position point.
The functions that can be realized by the apartment house scene mode artificial intelligence interaction method are all completed by a computer device, the computer device comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the apartment house scene mode artificial intelligence interaction method.
The processor fetches instructions and analyzes the instructions from the memory one by one, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) which is used for storing computer programs, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs required by at least one function (such as an information acquisition template display function, a product information publishing function and the like) and the like; the storage data area may store data created according to the use of the berth status display system (such as product information acquisition templates corresponding to different product categories, product information that needs to be issued by different product providers, and the like). In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may also be implemented by instructing relevant hardware by a computer program, and the computer program may be stored in a computer-readable storage medium, and when executed by a processor, the computer program may implement the functions of the above embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunications signal, software distribution medium, etc.
It should be noted that, in this document, 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An apartment house contextual model artificial intelligence interaction method is characterized by comprising the following steps:
establishing a connection channel with a building database, and reading an apartment model in the building database; the apartment model comprises a sub-model with resident information as a label;
sending a filing request containing a preset filing template to each resident, acquiring parameter information of energy consumption equipment based on the filing template, and filling the sub-model according to the acquired parameter information; the parameter information comprises physical parameters and position information of the energy consumption equipment;
acquiring energy consumption data based on the filled apartment model, and dynamically correcting the apartment model in real time according to the energy consumption data;
and receiving the contextual model sent by each resident, and sending a regulation and control instruction to the room where the corresponding resident is located according to the contextual model and the real-time dynamically corrected apartment model.
2. The apartment house scene mode artificial intelligence interaction method according to claim 1, wherein the sending a filing request containing a preset filing template to each resident, acquiring parameter information of energy consumption equipment based on the filing template, and the step of populating the sub-model according to the acquired parameter information includes:
sequentially reading sub models in an apartment model, and numbering the sub models according to the position information of the sub models relative to the apartment model;
sequentially sending a filing request to each resident according to the numbering sequence of the sub-models, and sending a filing template to the resident when receiving the consent information fed back by the resident;
receiving a filled filing template sent by a user, and inputting the filled filing template into a trained recognition model to obtain integrity;
and when the integrity reaches a preset integrity threshold value, acquiring parameter information of the energy consumption equipment according to the filled filing template, and filling the sub-model according to the acquired parameter information.
3. The apartment house scene mode artificial intelligence interaction method according to claim 2, wherein the step of acquiring parameter information of energy consumption equipment according to the filled-in docket template when the completeness reaches a preset completeness threshold, and the step of filling the sub-model according to the acquired parameter information comprises:
reading the position parameters of each energy consumption device in the well-filled record template, and generating position points in the sub-model corresponding to the resident according to the position parameters;
reading physical parameters of each energy consumption device in the filled record template, and reading a virtual model corresponding to the energy consumption device in a preset model library according to the physical parameters;
and inserting the virtual model into the corresponding position point.
4. The apartment house scene model artificial intelligence interaction method according to claim 1, wherein the step of collecting energy consumption data based on the populated apartment models, and the step of performing real-time dynamic correction of the apartment models based on the energy consumption data comprises:
acquiring working parameters of energy consumption equipment corresponding to the virtual model in each sub-model in the apartment model according to a preset frequency to obtain a working table; the working parameters contain time information, and the working table is sorted according to the time information;
inputting the worksheet into a trained conversion model to obtain a feature array;
sequentially reading characteristic values in the characteristic array, calculating the ratio between the characteristic values and a preset standard characteristic value, and determining the initial brightness of a virtual model corresponding to the energy consumption equipment according to the ratio;
reading the previous characteristic value of the characteristic values in the characteristic array, calculating the offset rate between the two characteristic values, and correcting the initial brightness according to the offset rate to obtain the display brightness;
and displaying the apartment model according to the display brightness.
5. The method for interacting artificial intelligence in contextual models of an apartment house according to claim 1, wherein the step of receiving contextual models sent by each resident and sending control instructions to the room in which the corresponding resident is located according to the contextual models and the real-time dynamically modified apartment model comprises:
receiving contextual models sent by each resident, and inquiring standard submodels corresponding to the contextual models in a preset standard model library;
counting and connecting each standard sub-model to obtain a standard apartment model;
performing logical operation on the apartment model dynamically corrected in real time and the standard apartment model;
determining a difference apartment model according to the logical operation result;
and generating a regulating instruction of each submodel according to the different apartment model, and sending the regulating instruction to the resident corresponding to the submodel.
6. The apartment house scene mode artificial intelligence interaction method according to claim 5, wherein the step of generating a control instruction of each sub-model according to the apartment difference model and sending the control instruction to the resident corresponding to the sub-model comprises:
classifying virtual models in each submodel in the difference apartment model according to difference brightness;
counting the number of various virtual models in each submodel in sequence, and determining the energy consumption characteristics of the submodel according to the number of various virtual models;
determining the regulation priority of each sub-model according to the energy consumption characteristics;
sequentially acquiring parameter information corresponding to the virtual models in the sub-models according to the regulation priority, and determining the virtual model to be regulated according to the parameter information;
and generating a regulation and control instruction of the virtual model to be regulated, and sending the regulation and control instruction to the resident corresponding to the sub-model.
7. An apartment house scenario artificial intelligence interaction method according to claim 6, characterized in that the method further comprises:
receiving a rated energy consumption value containing time information sent by a manager, and determining a model mask according to the rated energy consumption value;
covering the displayed apartment model according to the model mask;
and determining warning information according to the covered apartment model, and sending the warning information to corresponding residents.
8. An apartment house contextual model artificial intelligence interactive system, characterized in that the system comprises:
the apartment model reading module is used for establishing a connection channel with a building database and reading an apartment model in the building database; the apartment model comprises a sub-model taking resident information as a label;
the model filling module is used for sending a filing request containing a preset filing template to each resident, acquiring parameter information of the energy consumption equipment based on the filing template, and filling the sub-model according to the acquired parameter information; the parameter information comprises physical parameters and position information of the energy consumption equipment;
the dynamic correction module is used for acquiring energy consumption data based on the filled apartment models and dynamically correcting the apartment models in real time according to the energy consumption data;
and the regulation and control instruction generation module is used for receiving the contextual model sent by each resident and sending a regulation and control instruction to the room where the corresponding resident is located according to the contextual model and the real-time dynamically corrected apartment model.
9. An apartment-dwelling-scenario artificial-intelligence interaction system as recited in claim 8, wherein the model-populating module includes:
the numbering unit is used for sequentially reading submodels in the apartment model and numbering the submodels according to the position information of the submodels relative to the apartment model;
the template sending unit is used for sequentially sending a filing request to each resident according to the numbering sequence of the sub-models, and sending a filing template to the resident when receiving the consent information fed back by the resident;
the integrity calculation unit is used for receiving the filled filing template sent by the user and inputting the filled filing template into the trained recognition model to obtain the integrity;
and the processing execution unit is used for acquiring the parameter information of the energy consumption equipment according to the filled filing template and filling the sub-model according to the acquired parameter information when the integrity reaches a preset integrity threshold value.
10. The apartment house scenario artificial intelligence interaction system of claim 9, wherein the process execution unit includes:
the position point generating subunit is used for reading the position parameters of the energy consumption devices in the well-filled filing template and generating position points in the sub-model corresponding to the resident according to the position parameters;
the model reading subunit is used for reading the physical parameters of each energy consumption device in the well-filled filing template, and reading the virtual model corresponding to the energy consumption device in a preset model library according to the physical parameters;
and the model inserting subunit is used for inserting the virtual model into the corresponding position point.
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