CN111459037B - Intelligent household system control method and device, electronic equipment and readable storage medium - Google Patents
Intelligent household system control method and device, electronic equipment and readable storage medium Download PDFInfo
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- CN111459037B CN111459037B CN202010125548.4A CN202010125548A CN111459037B CN 111459037 B CN111459037 B CN 111459037B CN 202010125548 A CN202010125548 A CN 202010125548A CN 111459037 B CN111459037 B CN 111459037B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
According to the control method of the intelligent home system, after the control instruction input by the user is received, the control path of the intelligent home system corresponding to the control instruction is determined according to the control habit knowledge map of the user and is used as the alternative control path, the energy consumption corresponding to each alternative control path is calculated, the alternative control path with the lowest energy consumption is selected as the target control path, and the intelligent home system is controlled according to the target control path. According to the method, the intelligent home system control path corresponding to the control instruction can be obtained, the control habit of a user is met, the energy consumption is the lowest, the intelligent home system is controlled by the obtained intelligent home system control path, the energy consumption is reduced, and the resource waste is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent home, in particular to a method and a device for controlling an intelligent home system, electronic equipment and a readable storage medium.
Background
Along with the popularization of intelligent equipment, an intelligent home system is produced, and the intelligent home system is a system formed by connecting a plurality of intelligent equipment together through the internet of things technology.
As more and more intelligent devices are connected to the smart home system, the intelligent devices with the same function may appear, and thus, one control instruction sent by the user may cause a plurality of devices with the same function to be turned on simultaneously, for example, if the user inputs a control instruction about "cooling", all the devices such as an air conditioner, an electric fan, an air conditioning fan and the like with a cooling function in the smart home system may be turned on, and the problem of resource waste exists when the plurality of devices with the same function are operated together for a long time.
The above description of the discovery process of the problems is only for the purpose of assisting understanding of the technical solutions of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
In order to solve the technical problem of resource waste, embodiments of the present invention provide a method and an apparatus for controlling an intelligent home system, an electronic device, and a readable storage medium.
In view of this, in a first aspect, an embodiment of the present invention provides a method for controlling an intelligent home system, including:
acquiring a control instruction input by a user;
determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises operation parameters of controlled intelligent equipment and controlled intelligent equipment;
calculating the energy consumption of each alternative control path;
determining an alternative control path with the lowest energy consumption as a target control path;
and controlling the intelligent home system according to the target control path.
In one possible implementation, calculating the energy consumption of each alternative control path includes:
acquiring a current environment parameter and a target environment parameter;
acquiring technical parameters of controlled intelligent equipment in an alternative control path;
and respectively calculating the energy consumption required by the intelligent home system for adjusting the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to each alternative control path according to the operating parameters and the technical parameters of each controlled intelligent device in the alternative control paths.
In one possible implementation, the method further includes:
calculating the loss generated when the intelligent home system is controlled according to the target control path and the current environmental parameter is adjusted to the target environmental parameter by the intelligent home system;
judging whether the loss is larger than a preset loss threshold value or not;
and if so, adjusting the operation parameters of the intelligent equipment contained in the target control path so as to enable the loss not to be larger than the loss threshold value.
In one possible implementation, the control habit knowledge graph of the user is set by:
acquiring a historical control instruction input by the user;
acquiring a historical smart home system control path corresponding to the historical control instruction;
and generating a knowledge graph representing the association relation between the control instruction and the control path of the historical smart home system, wherein the knowledge graph is used as the control habit knowledge graph of the user.
In a possible implementation manner, the obtaining the technical parameters of each controlled intelligent device in the alternative control path includes:
acquiring a preset intelligent equipment attribute knowledge graph, wherein the intelligent equipment attribute knowledge graph contains technical parameters of intelligent equipment;
and determining the technical parameters of each controlled intelligent device in the alternative control path according to the intelligent device attribute knowledge graph.
In a second aspect, an embodiment of the present invention further provides an intelligent home system control apparatus, including:
the acquisition module is used for acquiring a control instruction input by a user;
the alternative path determining module is used for determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, and the control habit knowledge graph is used as an alternative control path, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises controlled intelligent equipment and operation parameters of the controlled intelligent equipment;
the energy consumption calculation module is used for calculating the energy consumption of each alternative control path;
the target path determining module is used for determining the alternative control path with the lowest energy consumption as the target control path;
and the control module is used for controlling the intelligent home system according to the target control path.
In a possible implementation manner, the energy consumption calculating module is specifically configured to:
acquiring a current environment parameter and a target environment parameter;
acquiring technical parameters of controlled intelligent equipment in an alternative control path;
and respectively calculating the energy consumption required by the intelligent home system for adjusting the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to each alternative control path according to the operating parameters and the technical parameters of each controlled intelligent device in the alternative control paths.
In one possible implementation, the apparatus further includes:
the loss calculation module is used for calculating the loss generated when the intelligent home system adjusts the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to the target control path;
the judging module is used for judging whether the loss is larger than a preset loss threshold value or not;
and the adjusting module is used for adjusting the operation parameters of the intelligent equipment contained in the target control path if the loss is larger than the loss threshold value, so that the loss is not larger than the loss threshold value.
In one possible implementation, the control habit knowledge graph of the user is set by:
acquiring a historical control instruction input by the user;
acquiring a historical smart home system control path corresponding to the historical control instruction;
and generating a knowledge graph representing the association relation between the control instruction and the control path of the historical smart home system, wherein the knowledge graph is used as the control habit knowledge graph of the user.
In a possible implementation manner, the obtaining the technical parameters of each controlled intelligent device in the alternative control path includes:
acquiring a preset intelligent equipment attribute knowledge graph, wherein the intelligent equipment attribute knowledge graph contains technical parameters of intelligent equipment;
and determining the technical parameters of each controlled intelligent device in the alternative control path according to the intelligent device attribute knowledge graph.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
a processor, a memory, a communication interface, and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus;
the communication interface is used for information transmission between external devices;
the processor is configured to call the program instruction in the memory to execute the steps of the smart home system control method of the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores computer instructions, and the computer instructions enable a computer to execute the steps of the smart home system control method in the first aspect.
Compared with the prior art, the control method of the intelligent home system provided by the embodiment of the invention determines the control path of the intelligent home system corresponding to the control instruction according to the control habit knowledge graph of the user after receiving the control instruction input by the user, takes the control path as the alternative control path, calculates the energy consumption corresponding to each alternative control path, selects the alternative control path with the lowest energy consumption as the target control path, and controls the intelligent home system according to the target control path. According to the method, the intelligent home system control path corresponding to the control instruction can be obtained, the control habit of a user is met, the energy consumption is the lowest, the intelligent home system is controlled by the obtained intelligent home system control path, the energy consumption is reduced, and the resource waste is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be 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, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
Fig. 1 is a flowchart of a method for controlling an intelligent home system according to an embodiment of the present invention;
fig. 2 is a block diagram of an intelligent home system control device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Fig. 1 is a flowchart of a method for controlling an intelligent home system according to an embodiment of the present invention, and as shown in fig. 1, the method may include the following steps:
s11, acquiring a control instruction input by a user.
The control instruction input by the user can be acquired in multiple ways, for example, a voice receiving module arranged in the smart home device is used for receiving voice information input by the user, the voice information is sent to a preset cloud service platform, the voice information is analyzed and identified by a voice identification system in the cloud service platform, a control intention corresponding to the voice information is obtained through analysis, the corresponding control instruction is matched from a preset control instruction library according to the control intention, for example, the voice information input by the user is cooled, the control intention of the user can be known to be refrigeration through analysis, and therefore the control instruction related to refrigeration can be acquired from the preset control instruction library, for example: the turning on of the refrigeration equipment, the turning on of the air conditioner, the turning on of the fan and the like all belong to control instructions matched with the control intention of refrigeration, namely control instructions corresponding to voice information, wherein the voice recognition system can adopt the existing mature voice recognition system.
Besides the above manners, the control instruction input by the user may be obtained by other manners (for example, remote control, etc.), and details are not repeated in this embodiment.
And S12, determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises the controlled intelligent equipment and the operation parameters of the controlled intelligent equipment.
The operation parameters may include an operation mode, an operation duration, and the like, and for example, the control path of the smart home system may be: air conditioner, refrigeration mode, temperature 24 ℃,; for another example: "electric lamp, operating for 2 hours", except for the case where the above example only includes one smart device and one operating mode, the smart home system control path may further include multiple smart devices and/or multiple operating modes, for example: air conditioner, refrigeration mode, temperature 24 ℃, fan, three gears and the like.
The control habit knowledge map of the user is a knowledge map which is generated according to the use habit of the user aiming at the intelligent home system and relates to the incidence relation between the control instruction and the intelligent home system control system.
And S13, calculating the energy consumption of each alternative control path.
Because there may be multiple devices with the same function in the smart home system, one control instruction may correspond to multiple smart home system control paths, and the operating parameters of the smart devices in different smart home system control paths may also be different, which may cause different energy consumptions of the different smart home system control paths.
And S14, determining the alternative control path with the lowest energy consumption as a target control path.
The lower the energy consumption is, the less the resource consumption is, and the less the resource waste is, so in order to achieve the effect of reducing the resource waste, the embodiment selects the intelligent home system control path with the lowest energy consumption corresponding to the control instruction as the target control path.
And S15, controlling the intelligent home system according to the target control path.
In a possible implementation manner, the controlling the smart home system according to the target control path may include:
and generating a corresponding intelligent equipment control instruction according to the target control path, and sending the intelligent equipment control instruction to corresponding intelligent equipment in the intelligent home system, thereby completing the control of the intelligent home system.
According to the control method of the intelligent home system provided by the embodiment, after a control instruction input by a user is received, the control path of the intelligent home system corresponding to the control instruction is determined according to the control habit knowledge map of the user and is used as the alternative control path, the energy consumption corresponding to each alternative control path is calculated, the alternative control path with the lowest energy consumption is selected as the target control path, and the intelligent home system is controlled according to the target control path. According to the method, the intelligent home system control path corresponding to the control instruction can be obtained, the control habit of a user is met, the energy consumption is the lowest, the intelligent home system is controlled by the obtained intelligent home system control path, the energy consumption is reduced, and the resource waste is reduced.
Based on the above embodiment, if the operation parameters of the intelligent device include the operation duration, the operation mode, and the like, then S13 may calculate the energy consumption of each alternative control path in the following manner:
the method comprises the steps of obtaining technical parameters of the intelligent equipment in the alternative control path, determining running power corresponding to a running mode of the intelligent equipment according to the technical parameters of the intelligent equipment in the alternative control path, and calculating energy consumption according to the running power and running duration.
The technical parameters of the intelligent device are intrinsic parameters of the intelligent device, such as voltage, power and the like.
The energy consumption of the alternative control path is calculated in the above mode, and the method is convenient and quick.
Based on the above embodiment, S13 may also calculate the energy consumption of each alternative control path in the following manner:
the method comprises the steps of obtaining technical parameters of controlled intelligent devices in alternative control paths, obtaining current environment parameters and target environment parameters, and respectively calculating energy consumption required by the intelligent home system for adjusting the current environment parameters to the target environment parameters when the intelligent home system is controlled according to the alternative control paths according to the operation parameters and the technical parameters of the controlled intelligent devices in the alternative control paths.
When the intelligent home system is controlled according to each alternative control path, respectively calculating energy consumption required by the intelligent home system to adjust the current environmental parameter to the target environmental parameter according to the operating parameters and the technical parameters of each controlled intelligent device in the alternative control paths, which may include:
according to the operation mode of the intelligent equipment, calculating the operation time required by the intelligent home system for adjusting the current environment parameters to the target environment parameters, determining the operation power corresponding to the operation mode according to the technical parameters of the intelligent equipment, and determining the required energy consumption according to the operation time and the operation power.
According to the operation mode of the intelligent equipment, the operation time required by the intelligent home system for adjusting the current environmental parameters to the target environmental parameters can be calculated in a big data analysis mode.
The target environment parameter may be preset or may be input by a user.
The environmental parameters may include temperature values, humidity values, brightness values, and the like.
The energy consumption of the alternative control path is calculated by the method, and the environmental parameters are considered, so that the calculation result is more accurate.
On the basis of the above embodiment, the following method may be adopted to obtain the technical parameters of each controlled intelligent device in the alternative control path:
the method comprises the steps of obtaining a preset intelligent equipment attribute knowledge graph, wherein the intelligent equipment attribute knowledge graph comprises technical parameters of intelligent equipment, and determining the technical parameters of controlled intelligent equipment in an alternative control path according to the intelligent equipment attribute knowledge graph.
In this embodiment, the intelligent device attribute knowledge graph is preset, so that the technical parameters of the intelligent device can be acquired more conveniently.
On the basis of the above embodiment, the control habit knowledge graph of the user is set by the following method:
acquiring a historical control instruction input by the user; acquiring a historical smart home system control path corresponding to the historical control instruction; and generating a knowledge graph representing the association relation between the control instruction and the control path of the historical smart home system, wherein the knowledge graph is used as the control habit knowledge graph of the user.
Specifically, in the using process of the smart home system by the user, the using habit of the user may be analyzed by using the existing user habit analysis system, for example, after a control instruction input by the user is obtained, a behavior path of the user is obtained, an operation parameter of the corresponding smart device is obtained according to the behavior path of the user and is used as a control path of the smart home system corresponding to the obtained control instruction, the obtained control instruction and the control path of the smart home system are correspondingly stored, and after a period of time, the control habit knowledge graph of the user can be generated according to the corresponding relationship between the control instruction and the control path of the smart home system.
According to the embodiment, the control habit of the user can be accurately known in a knowledge graph mode, so that the control path of the intelligent home system corresponding to the control instruction can be quickly acquired.
On the basis of the foregoing embodiment, the smart home control method provided in this embodiment further includes:
calculating the loss generated when the intelligent home system is controlled according to the target control path and the current environmental parameter is adjusted to the target environmental parameter by the intelligent home system; judging whether the loss is larger than a preset loss threshold value or not; and if so, adjusting the operation parameters of the intelligent equipment contained in the target control path so as to enable the loss not to be larger than the loss threshold value.
In this embodiment, the target control path with excessive loss is adjusted, so that the loss is reduced, and the waste of resources is further reduced.
One specific example is:
when a user carries out voice interaction on the intelligent home system to send out voice information, a voice receiving module of the intelligent home system collects the voice information and transmits the voice information to a cloud service platform, a voice recognition system of the cloud service platform analyzes and recognizes uploaded user voice information, the user intention is analyzed and judged, the voice recognition system sends the processing and analyzing intention to a knowledge graph server, the knowledge graph server comprises a control habit knowledge graph of the user and an intelligent equipment attribute knowledge graph, and the control habit knowledge graph of the user stores control paths of the user under different control instructions (control intentions); the intelligent equipment attribute knowledge graph stores technical parameters of the intelligent equipment and data acquired by a sensor in the intelligent equipment.
The cloud service platform system acquires control paths of the user under the same control instruction within a certain time according to the control habit knowledge graph of the user, performs statistical analysis on electric quantity data of the intelligent equipment under different control paths according to the attribute knowledge graph of the intelligent equipment to obtain the lowest electric consumption, and takes the control path corresponding to the lowest electric consumption as a target control path. For example: when a user says that the user returns to the intelligent home system, the voice recognition system of the cloud service platform recognizes and analyzes the control instruction of the user, and sequentially turns on household appliances such as an air conditioner, a living room lamp, a television, a fan and a dehumidifier according to matching of a background template of the system by combining the current environmental conditions (temperature, humidity and the like), wherein the corresponding control path is as follows: when the same control instruction is encountered next time, the interaction path of the air conditioner- > electric lamp- > television- > fan- > dehumidifier is possibly as follows due to different environmental conditions: air conditioner- > fan- > dehumidifier- > electric lamp- > television. The method comprises the steps of acquiring an intelligent home system control path stored by a user control habit knowledge graph and an intelligent device attribute stored by an intelligent device attribute knowledge graph by using a big data analysis system of a cloud service platform, and analyzing the most energy-saving control path as a target control path by combining with the current environmental condition. And judging whether the loss of the target control path exceeds a preset loss threshold, and if so, adjusting the state and the operation parameters of the intelligent equipment in the target control path so as to enable the loss of the target control path not to be larger than the preset loss threshold.
As shown in fig. 2, an embodiment of the present invention further provides an intelligent home system control device, which may include:
an obtaining module 201, configured to obtain a control instruction input by a user;
the alternative path determining module 202 is configured to determine, according to a preset control habit knowledge graph of the user, an intelligent home system control path corresponding to the control instruction, as an alternative control path, where the control habit knowledge graph includes an association relationship between the control instruction and the intelligent home system control path, and the intelligent home system control path includes the controlled intelligent device and the operating parameters of the controlled intelligent device;
the energy consumption calculation module 203 is used for calculating the energy consumption of each alternative control path;
a target path determining module 204, configured to determine an alternative control path with the lowest energy consumption as a target control path;
and the control module 205 is configured to control the smart home system according to the target control path.
In a possible implementation manner, the energy consumption calculating module 203 is specifically configured to:
acquiring a current environment parameter and a target environment parameter;
acquiring technical parameters of controlled intelligent equipment in an alternative control path;
and respectively calculating the energy consumption required by the intelligent home system for adjusting the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to each alternative control path according to the operating parameters and the technical parameters of each controlled intelligent device in the alternative control paths.
In one possible implementation, the apparatus further includes:
the loss calculation module is used for calculating the loss generated when the intelligent home system adjusts the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to the target control path;
the judging module is used for judging whether the loss is larger than a preset loss threshold value or not;
and the adjusting module is used for adjusting the operation parameters of the intelligent equipment contained in the target control path if the loss is larger than the loss threshold value, so that the loss is not larger than the loss threshold value.
In one possible implementation, the control habit knowledge graph of the user is set by:
acquiring a historical control instruction input by the user;
acquiring a historical smart home system control path corresponding to the historical control instruction;
and generating a knowledge graph representing the association relation between the control instruction and the control path of the historical smart home system, wherein the knowledge graph is used as the control habit knowledge graph of the user.
In a possible implementation manner, the obtaining the technical parameters of each controlled intelligent device in the alternative control path includes:
acquiring a preset intelligent equipment attribute knowledge graph, wherein the intelligent equipment attribute knowledge graph contains technical parameters of intelligent equipment;
and determining the technical parameters of each controlled intelligent device in the alternative control path according to the intelligent device attribute knowledge graph.
As shown in fig. 3, the present embodiment discloses an electronic device, including: a processor 301, a memory 302, a communication interface 303, and a bus 304;
the processor 301, the memory 302 and the communication interface 303 complete mutual communication through the bus 304;
the communication interface 303 is used for information transmission between external devices; the external device is, for example, a user equipment UE;
the processor 301 is configured to invoke program instructions in the memory 302 to perform methods as provided by the method embodiments, including, for example:
acquiring a control instruction input by a user;
determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises operation parameters of controlled intelligent equipment and controlled intelligent equipment;
calculating the energy consumption of each alternative control path;
determining an alternative control path with the lowest energy consumption as a target control path;
and controlling the intelligent home system according to the target control path.
Embodiments of the present invention further provide a readable storage medium, where the readable storage medium stores computer instructions, where the computer instructions cause a computer to execute the method provided in each method embodiment, for example, including:
acquiring a control instruction input by a user;
determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises operation parameters of controlled intelligent equipment and controlled intelligent equipment;
calculating the energy consumption of each alternative control path;
determining an alternative control path with the lowest energy consumption as a target control path;
and controlling the intelligent home system according to the target control path.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
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.
Through the above description of the embodiments, those skilled in the art will clearly understand that the methods described in the embodiments of the present invention can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention or the method according to some parts of the embodiments.
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 (6)
1. The intelligent home system control method is characterized by comprising the following steps:
acquiring a control instruction input by a user;
determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises operation parameters of controlled intelligent equipment and controlled intelligent equipment;
calculating the energy consumption of each alternative control path;
determining an alternative control path with the lowest energy consumption as a target control path;
controlling the intelligent home system according to the target control path;
the control paths of the intelligent home system comprise a plurality of controlled intelligent devices and control sequences of the controlled intelligent devices, the controlled intelligent devices in different control paths of the intelligent home system are the same, but the control sequences of the controlled intelligent devices are different;
calculating the energy consumption of each alternative control path, comprising:
acquiring a current environment parameter and a target environment parameter;
acquiring technical parameters of controlled intelligent equipment in an alternative control path;
respectively calculating energy consumption required by the intelligent home system for adjusting the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to each alternative control path according to the operating parameters and the technical parameters of each controlled intelligent device in the alternative control paths;
the method further comprises the following steps:
calculating the loss generated when the intelligent home system is controlled according to the target control path and the current environmental parameter is adjusted to the target environmental parameter by the intelligent home system;
judging whether the loss is larger than a preset loss threshold value or not;
and if so, adjusting the operation parameters of the intelligent equipment contained in the target control path so as to enable the loss not to be larger than the loss threshold value.
2. The method of claim 1, wherein the user's control habit profile is set by:
acquiring a historical control instruction input by the user;
acquiring a historical smart home system control path corresponding to the historical control instruction;
and generating a knowledge graph representing the association relation between the control instruction and the control path of the historical smart home system, wherein the knowledge graph is used as the control habit knowledge graph of the user.
3. The method according to claim 1, wherein obtaining the technical parameters of each controlled intelligent device in the alternative control path comprises:
acquiring a preset intelligent equipment attribute knowledge graph, wherein the intelligent equipment attribute knowledge graph contains technical parameters of intelligent equipment;
and determining the technical parameters of each controlled intelligent device in the alternative control path according to the intelligent device attribute knowledge graph.
4. The utility model provides an intelligent home systems controlling means which characterized in that includes:
the acquisition module is used for acquiring a control instruction input by a user;
the alternative path determining module is used for determining an intelligent home system control path corresponding to the control instruction according to a preset control habit knowledge graph of the user, and the control habit knowledge graph is used as an alternative control path, wherein the control habit knowledge graph comprises an incidence relation between the control instruction and the intelligent home system control path, and the intelligent home system control path comprises controlled intelligent equipment and operation parameters of the controlled intelligent equipment;
the energy consumption calculation module is used for calculating the energy consumption of each alternative control path;
the target path determining module is used for determining the alternative control path with the lowest energy consumption as the target control path;
the control module is used for controlling the intelligent home system according to the target control path;
the control paths of the intelligent home system comprise a plurality of controlled intelligent devices and control sequences of the controlled intelligent devices, the controlled intelligent devices in different control paths of the intelligent home system are the same, but the control sequences of the controlled intelligent devices are different;
the energy consumption calculation module is specifically configured to:
acquiring a current environment parameter and a target environment parameter;
acquiring technical parameters of controlled intelligent equipment in an alternative control path;
respectively calculating energy consumption required by the intelligent home system for adjusting the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to each alternative control path according to the operating parameters and the technical parameters of each controlled intelligent device in the alternative control paths;
the device further comprises:
the loss calculation module is used for calculating the loss generated when the intelligent home system adjusts the current environmental parameters to the target environmental parameters when the intelligent home system is controlled according to the target control path;
the judging module is used for judging whether the loss is larger than a preset loss threshold value or not;
and the adjusting module is used for adjusting the operation parameters of the intelligent equipment contained in the target control path if the loss is larger than the loss threshold value, so that the loss is not larger than the loss threshold value.
5. An electronic device, comprising:
a processor, a memory, a communication interface, and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus;
the communication interface is used for information transmission between external devices;
the processor is configured to call the program instructions in the memory to perform the steps of the smart home system control method according to any one of claims 1 to 3.
6. A readable storage medium, wherein the readable storage medium stores computer instructions for causing a computer to execute the steps of the smart home system control method according to any one of claims 1 to 3.
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| CN113342084B (en) * | 2021-06-15 | 2023-10-31 | 深圳市欧瑞博科技股份有限公司 | Intelligent control method and device of temperature control equipment, electronic equipment and storage medium |
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