CN111741085B - Processing method and device of intelligent equipment, storage medium and electronic device - Google Patents
Processing method and device of intelligent equipment, storage medium and electronic device Download PDFInfo
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- CN111741085B CN111741085B CN202010514824.6A CN202010514824A CN111741085B CN 111741085 B CN111741085 B CN 111741085B CN 202010514824 A CN202010514824 A CN 202010514824A CN 111741085 B CN111741085 B CN 111741085B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2823—Reporting information sensed by appliance or service execution status of appliance services in a home automation network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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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
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Abstract
The invention provides a processing method and device of intelligent equipment, a storage medium and an electronic device, wherein the method comprises the following steps: determining whether a first environment parameter of a first area is associated with the intelligent device or not under the condition that the intelligent device is monitored to move from the first area to a second area; under the condition that the intelligent equipment is associated with the first environment parameter, the association of the intelligent equipment and the first environment parameter is disconnected, and whether the intelligent equipment is associated with the second environment parameter of the second area is determined, so that the problems that in the prior art, when the intelligent equipment is moved to other positions, deviation can occur in intelligent equipment control through original position information and association relation of the equipment, expected effect cannot be achieved and the like can be solved, the association relation between the equipment and the environment data can be updated in time after the reporting position of the intelligent equipment is changed, the accuracy of intelligent equipment control is improved, and user experience is improved.
Description
Technical Field
The present invention relates to the field of communications, and in particular, to a processing method and apparatus for an intelligent device, a storage medium, and an electronic apparatus.
Background
Along with the development of smart home technology, the control mode of the home appliance is also becoming intelligent, and the smart home appliance can be automatically controlled to execute corresponding operation according to specific application scenes, so that user experience is improved, wherein for the application scenes of intelligent home environment adjustment, the smart home appliance in the room is usually controlled to finish operation according to specific room environment data reported by environment sensing equipment.
In the related art, control of intelligent home appliances is generally implemented based on a device model. Fig. 1 shows a mainstream device modeling scheme at present. The model mainly comprises device types, attributes, operations and the like. Device Type (device Type): a device type identifier; attribute (property): describing various attributes which can be accessed by the equipment, including attributes representing the working state of the equipment, objective environment attributes obtained by measuring and other modes, and the like; operation (operation): describing various operations provided by equipment for external use and capable of being called, the scheme for realizing intelligent regulation of the home environment based on the equipment model is as follows: 1) The cloud platform maintains the environmental data (temperature and humidity, air quality, brightness and the like) of each room in the home, and associates the intelligent household appliances with the environmental sensing or adjusting capability in each room to the corresponding environmental data; 2) When a certain intelligent household appliance is newly registered in a home network, recording a room to which the equipment belongs; if the household appliance has the environment sensing or adjusting capability, the household appliance is related to the environment data corresponding to the room to which the household appliance belongs; 3) The environment data reported by the intelligent household appliance later are all used as the environment data of the room to which the intelligent household appliance belongs; when the environmental attribute of a certain room needs to be regulated, the intelligent household appliance with the environmental regulation capability in the room is also called according to the association relation.
In existing intelligent home environment adjustment schemes, the location information of the intelligent home appliances is usually fixed. However, in practical applications, some smart home devices (such as hygrothermograph, air purifier, humidifier, etc.) may be mobile. Once the device is moved to another room, the original position information and the association relation are not applicable any more, and the home appliance control based on the position information and the association relation may deviate, so that the expected effect cannot be achieved.
Aiming at the problems that in the related art, when the intelligent equipment is moved to other positions, deviation possibly occurs in intelligent equipment control through original position information and association relation of the equipment, the expected effect cannot be achieved, and the like, no effective technical scheme is proposed yet.
Disclosure of Invention
The embodiment of the invention provides a processing method and device of intelligent equipment, a storage medium and an electronic device, which at least solve the problems that in the related art, when the intelligent equipment is moved to other positions, the intelligent equipment control performed through the original position information and association relation of the equipment is likely to deviate, the expected effect cannot be achieved and the like.
According to one embodiment of the present invention, there is provided a processing method of an intelligent device, including: determining whether a first environment parameter of a first area is associated with the intelligent device or not under the condition that the intelligent device is monitored to move from the first area to a second area; and if there is an association of the smart device with the first environmental parameter, disassociating the smart device from the first environmental parameter and determining whether to associate the smart device to a second environmental parameter of the second area.
In an exemplary embodiment, after the smart device is disconnected from the first environmental parameter, the method further includes: when the intelligent device is a sensing device and the first environment parameter is associated with other sensing devices, selecting a first sensing device with highest sensing precision from the other sensing devices, and associating the first sensing device with the first environment parameter; and under the condition that the intelligent equipment is an adjusting equipment and other adjusting equipment is associated with the first environment parameter, selecting a second adjusting equipment with highest adjusting capacity from the other adjusting equipment, and associating the second adjusting equipment with the first environment parameter.
In one exemplary embodiment, determining a second environmental parameter that associates the smart device to the second area includes: under the condition that the intelligent equipment is sensing equipment and the second environment parameters are related to other sensing equipment, selecting third sensing equipment with highest sensing precision from the intelligent equipment and the other sensing equipment, and relating the third sensing equipment to the second environment parameters; and under the condition that the intelligent device is an adjusting device and the second environment parameter is related to other adjusting devices, selecting a fourth adjusting device with highest adjusting capability from the intelligent device and the other adjusting devices, and relating the fourth adjusting device with the second environment parameter.
In one exemplary embodiment, determining a second environmental parameter that associates the smart device to the second area includes: and in the case that the second environment parameter is not associated with other intelligent devices, associating the intelligent devices to the second environment parameter of the second area.
In an exemplary embodiment, the above method further comprises: and adding a position field in the device model stored in the intelligent device and the cloud platform, wherein the position field is used for indicating that the intelligent device is positioned in the first area or the second area.
In an exemplary embodiment, the first environmental parameter includes at least one of: temperature, humidity, air quality, brightness; the second environmental parameter includes at least one of: temperature, humidity, air quality, brightness.
According to another embodiment of the present invention, there is provided a processing apparatus of an intelligent device, including: a determining module, configured to determine, if it is monitored that an intelligent device moves from a first area to a second area, whether there is a correlation between the intelligent device and a first environmental parameter of the first area; and the processing module is used for disconnecting the association of the intelligent device and the first environment parameter and determining whether the intelligent device is associated with a second environment parameter of the second area under the condition that the intelligent device is associated with the first environment parameter.
In an exemplary embodiment, the processing module is further configured to, when the intelligent device is a sensing device and the first environmental parameter is associated with another sensing device, select a first sensing device with a highest sensing precision from the other sensing devices, and associate the first sensing device with the first environmental parameter; and under the condition that the intelligent equipment is an adjusting equipment and other adjusting equipment is associated with the first environment parameter, selecting a second adjusting equipment with highest adjusting capacity from the other adjusting equipment, and associating the second adjusting equipment with the first environment parameter.
In an exemplary embodiment, the processing module is further configured to, when the smart device is a sensing device and the second environmental parameter is already associated with another sensing device, select a third sensing device with highest sensing precision from the smart device and the other sensing devices, and associate the third sensing device with the second environmental parameter; and under the condition that the intelligent device is an adjusting device and the second environment parameter is related to other adjusting devices, selecting a fourth adjusting device with highest adjusting capability from the intelligent device and the other adjusting devices, and relating the fourth adjusting device with the second environment parameter.
In an exemplary embodiment, the processing module is further configured to associate the smart device to the second environmental parameter of the second area if the second environmental parameter is not associated with other smart devices.
In an exemplary embodiment, the processing module is further configured to add a location field to the device model stored in the smart device and the cloud platform, where the location field is used to indicate that the smart device is located in the first area or the second area.
In an exemplary embodiment, the first environmental parameter includes at least one of: temperature, humidity, air quality, brightness; the second environmental parameter includes at least one of: temperature, humidity, air quality, brightness.
According to a further embodiment of the invention, there is also provided a storage medium having stored therein a computer program, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
According to a further embodiment of the invention, there is also provided an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
According to the method and the device, under the condition that the intelligent equipment is monitored to move from the first area to the second area, whether the intelligent equipment is associated with the first environment parameter of the first area or not is determined; under the condition that the intelligent equipment is associated with the first environment parameter, the association of the intelligent equipment and the first environment parameter is disconnected, and whether the intelligent equipment is associated with the second environment parameter of the second area is determined, so that the problems that in the prior art, when the intelligent equipment is moved to other positions, deviation can occur in intelligent equipment control through original position information and association relation of the equipment, expected effect cannot be achieved and the like can be solved, the association relation between the equipment and the environment data can be updated in time after the reporting position of the intelligent equipment is changed, the accuracy of intelligent equipment control is improved, and user experience is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a schematic diagram of a mainstream device modeling scheme according to the related art;
fig. 2 is a hardware structure block diagram of a cloud platform of a processing method of an intelligent device according to an embodiment of the present invention;
FIG. 3 is a flow chart of a processing method of a smart device according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an expanded device model in accordance with an alternative embodiment of the invention;
FIG. 5 is a flow chart of a process of the cloud platform receiving a position change reported by the smart home appliance according to an alternative embodiment of the present invention;
fig. 6 is a block diagram of a processing apparatus of a smart device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a cloud platform, a computer terminal, or a similar computing device. Taking a cloud platform as an example, fig. 2 is a block diagram of a hardware structure of a computer terminal of a processing method of an intelligent device according to an embodiment of the present invention. As shown in fig. 2, the cloud platform may include one or more processors 102 (only one is shown in fig. 2) (the processor 102 may include, but is not limited to, a microprocessor MCU, a programmable logic device FPGA, etc. processing means) and a memory 104 for storing data, wherein the cloud platform may further include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 2 is merely illustrative, and is not limited to the structure of the cloud platform described above. For example, the cloud platform may also include more or fewer components than shown in fig. 2, or have a different configuration than shown in fig. 2.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a processing method of a smart device in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104, thereby performing various functional applications and data processing, that is, implementing the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located with respect to the processor 102, which may be connected to the cloud platform via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, design computer communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the cloud platform. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, a processing method of an intelligent device is provided, and fig. 3 is a flowchart of a processing method of an intelligent device according to an embodiment of the present invention, as shown in fig. 3, where the flowchart includes the following steps:
step S302, determining whether the intelligent device is associated with a first environmental parameter of a first area or not under the condition that the intelligent device is monitored to move from the first area to a second area;
step S304, in the case that the smart device is associated with the first environment parameter, disconnecting the association of the smart device with the first environment parameter, and determining whether to associate the smart device with a second environment parameter of the second area.
Through the steps, under the condition that the intelligent equipment is monitored to move from a first area to a second area, whether the intelligent equipment is associated with a first environment parameter of the first area or not is determined; under the condition that the intelligent equipment is associated with the first environment parameter, the association of the intelligent equipment and the first environment parameter is disconnected, and whether the intelligent equipment is associated with the second environment parameter of the second area is determined, so that the problems that in the prior art, when the intelligent equipment is moved to other positions, deviation can occur in intelligent equipment control through original position information and association relation of the equipment, expected effect cannot be achieved and the like can be solved, the association relation between the equipment and the environment data can be updated in time after the reporting position of the intelligent equipment is changed, the accuracy of intelligent equipment control is improved, and user experience is improved.
It should be noted that, in the above embodiment, the "and" in step S304 is not used to limit the execution sequence of "disconnecting the association of the smart device with the first environment parameter" and "determining whether to associate the smart device with the second environment parameter of the second area", for example, the execution sequence in step S304 may also be: and under the condition that the intelligent equipment is associated with the first environment parameter, determining whether to associate the intelligent equipment with the second environment parameter of the second area, and then disconnecting the intelligent equipment from the first environment parameter.
In one exemplary embodiment, the smart device may include: the sensing device, which may be understood as an environmental parameter used in the sensing area, the adjusting device, which may be understood as an environmental parameter used in adjusting the current environment, is further included in the method after the intelligent device is disconnected from the first environmental parameter: when the intelligent device is a sensing device and the first environment parameter is associated with other sensing devices, selecting a first sensing device with highest sensing precision from the other sensing devices, and associating the first sensing device with the first environment parameter; and under the condition that the intelligent equipment is an adjusting equipment and other adjusting equipment is associated with the first environment parameter, selecting a second adjusting equipment with highest adjusting capacity from the other adjusting equipment, and associating the second adjusting equipment with the first environment parameter.
That is, the first sensing device with the highest sensing precision is selected from other sensing devices associated with the first environmental parameter, the first sensing device is associated with the first environmental parameter, when the intelligent device is an adjusting device, the second adjusting device with the highest adjusting capability is selected from other adjusting devices which are already associated with the first environmental parameter, and the selected second adjusting device is associated with the first environmental parameter, it should be noted that, in some application scenarios, the adjusting device with the highest sensing precision and the highest adjusting capability is preferable according to actual requirements, for example, the intelligent device with the lowest energy consumption and the lowest noise can be selected, and the invention does not limit the method too much.
In one exemplary embodiment, determining a second environmental parameter that associates the smart device to the second area includes: under the condition that the intelligent equipment is sensing equipment and the second environment parameters are related to other sensing equipment, selecting third sensing equipment with highest sensing precision from the intelligent equipment and the other sensing equipment, and relating the third sensing equipment to the second environment parameters; and under the condition that the intelligent device is an adjusting device and the second environment parameter is related to other adjusting devices, selecting a fourth adjusting device with highest adjusting capability from the intelligent device and the other adjusting devices, and relating the fourth adjusting device with the second environment parameter.
In one exemplary embodiment, determining a second environmental parameter that associates the smart device to the second area includes: and in the case that the second environment parameter is not associated with other intelligent devices, associating the intelligent devices to the second environment parameter of the second area.
For example, when an intelligent device (such as a sweeping robot) in a living room (equivalent to a first area) is transferred to a bedroom (equivalent to a second area), other intelligent devices which are not associated with the second environmental parameters of the second area cannot be queried in the cloud platform, and in this case, in order to enable the intelligent device to work normally, the second environmental parameters of the second area are directly associated with the sweeping robot transferred from the living room to the bedroom.
In an exemplary embodiment, the above method further comprises: and adding a position field in the device model stored in the intelligent device and the cloud platform, wherein the position field is used for indicating that the intelligent device is positioned in the first area or the second area.
That is, a location field is added in the stored association relationship between the intelligent device and the device model of the cloud platform, so that the location of the current intelligent device is conveniently distinguished to be in the first area or the second area, and accurate control of the intelligent device in the current area is further realized.
In an exemplary embodiment, the first environmental parameter includes at least one of: temperature, humidity, air quality, brightness; the second environmental parameter includes at least one of: temperature, humidity, air quality, brightness.
In order to better understand the processing procedure of the above-mentioned intelligent device, the following description is provided with reference to an alternative embodiment, but is not used to limit the technical solution of the embodiment of the present invention.
In an alternative embodiment of the present invention, an equipment model is extended, and a new location (location) field is used to describe a location where equipment is located in a home environment, such as a living room, a bedroom, a kitchen, a bathroom, etc., when a room where a home appliance (corresponding to an intelligent device in an embodiment of the present invention) is located changes, the location is actively reported to a cloud platform, and the extended equipment model is shown in fig. 4. In addition, the optional embodiment of the invention defines the corresponding preferred strategy of the home appliances for the case that a plurality of home appliances for sensing or adjusting the environment are associated with the same environmental data in the same room.
When a plurality of environment-aware intelligent devices are associated with the same environment data (corresponding to the environment parameters in the embodiment of the invention), the intelligent device with the highest perception precision is preferentially selected as a data source, namely, the data reported by the intelligent device is used as the environment data of the room, for example, 2 devices for perceiving the room temperature are respectively an air conditioner with the precision of 1 ℃ and a thermometer with the precision of 0.2 ℃, and the data reported by the thermometer is selected as the room temperature of the room.
When a plurality of environment adjustment intelligent devices are associated with the same environment data, the intelligent device with the best adjustment effect (equivalent to the highest adjustment capability in the embodiment of the invention) is selected by default. For example, when there are two devices, an air conditioner and a fan, in a room, the air conditioner is selected as a cooling device by default. In some application scenes, the equipment with low energy consumption or low noise can be selected preferentially according to actual requirements.
In an alternative embodiment of the present invention, after the cloud platform receives the position change (moving to another room) message reported by the home appliance, the processing flow is as shown in fig. 5, and the control adjustment of the position change device is implemented through the following steps.
Step S502, the cloud platform receives the report position update of the intelligent household electrical appliance;
step S504, the cloud platform inquires whether the household appliance is used as sensing equipment or adjusting equipment and is related to the environmental data of the original room;
step S506, judging whether the household electrical appliance is associated with the original room environment data, and executing step S528 when the household electrical appliance is not associated with the original room environment data; when the household equipment is associated with the original room environment number, executing step S508;
step S508, when the home appliance has an association with the original room environment data, the association types of the home appliance are determined one by one, for example, it may be further determined whether the home appliance is associated as an environment sensing device or an environment adjusting device;
step S510, further confirming whether the household appliance is associated as a sensing device according to the judging result of the step S508, and executing the step S512 when the household appliance is associated as the sensing device; when the home appliance is not associated as the sensing device, step S518 is performed;
step S512, if the home appliance is the associated environment sensing device, deleting the association relationship between the home appliance and the original room;
step S514, judging whether the household electrical appliance is a data source of the original room environment data, and executing step S516 when the household electrical appliance is the data source of the original room environment data; when the home appliance is not the data source of the original room environment data, executing step S524;
step S516, inquiring whether other sensing devices are associated in the room through the cloud platform, and selecting the device with the highest sensing precision from the plurality of existing environment sensing devices as a new data source;
step S518, if the home appliance is not the associated environment sensing device, deleting the association relationship between the home appliance and the original room;
step S520, judging whether the household electrical appliance is the default environment adjusting device of the original room, if the household electrical appliance is the default environment adjusting device of the original room, executing step S522; if the home appliance is not the default environment adjustment device for the original room, then step S524 is performed;
step S522, inquiring whether other environment adjusting devices are associated in the room through the cloud platform, and selecting the environment adjusting device with the best adjusting effect from the environment adjusting device as a new default adjusting device;
step S524, associating the home device with the environmental data of the current room after the movement from the original room, and comparing and optimizing with other sensing/adjusting devices associated with the environmental data. If the sensing precision of the household electrical appliance is highest, the household electrical appliance is used as a data source of the current room environment data; if the household electrical appliance has the best adjusting effect, the household electrical appliance is used as the default adjusting device of the current room environment data;
step S526, when the home appliances with unprocessed association relationships in the current room are found, executing step S508, and carrying out the judging process again; if no home devices with unprocessed association exist in the current room, step S528 is executed;
step S528, the process is completed, and the process flow is exited.
The process of updating the equipment position information by the cloud platform is described in detail by taking an application scene that the air purifier moves from a living room to a bedroom as an example. Before moving, the air purifier is the only sensing equipment of the air quality index (Air quality Index, AQI for short) in the living room, and is also the default air quality adjusting equipment; the living room and the bedroom are respectively provided with an air conditioner with an air purifying function, which are respectively denoted as AC-1 and AC-2. The method comprises the following specific steps:
the first step: and after the air purifier moves from the living room to the bedroom, reporting position change information to the cloud platform.
And a second step of: after receiving the information reported by the air purifier, the cloud platform inquires home appliances associated with the living room environment data, and discovers that the air purifier is respectively used as sensing equipment and adjusting equipment and is associated to the living room AQI.
And a third step of: the cloud platform firstly deletes the association between the air purifier serving as sensing equipment and the parlor AQI; after deletion, the number of sensing devices associated with the parlor AQI is 0.
Fourth step: the cloud platform deletes the association between the air purifier serving as the adjusting equipment and the parlor AQI; since the air purifier is the living room default air quality conditioning device, the cloud platform selects AC-1 as the new default air quality conditioning device from the other conditioning devices associated with the AQI.
Fifth step: the cloud platform associates the air purifier as a sensing device to the AQI of the bedroom; the air purifier is the only sensing device associated with the bedroom AQI, and therefore the air purifier is used as a data source of the bedroom AQI.
Sixth step: the cloud platform associates the air purifier as an adjusting device to the AQI of the bedroom; the conditioning equipment associated with the bedroom AQI at this point includes an air purifier and AC-2, the air purifying effect of the air purifier is better than that of AC-2, the AC-2 is thus replaced by an air cleaner as a default air quality conditioning device for bedrooms.
In summary, according to the embodiment of the present invention, an intelligent home appliance location information update mechanism is provided for the case that the current intelligent home appliance control scheme does not consider the change of the home appliance location. When the room where the intelligent household appliance is reported is changed, the cloud platform deletes the association relation between the household appliance and the environment data of the original room and associates the association relation with the environment data of the new room; when a plurality of environment sensing/adjusting devices exist in the room, device optimization is completed according to corresponding strategies, environment data acquisition and adjustment strategies are optimized, accuracy of intelligent household appliance control is improved, and user experience is improved.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
In this embodiment, a processing device of an intelligent device is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, which are not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 6 is a block diagram of a processing apparatus of an intelligent device according to an embodiment of the present invention, as shown in fig. 6, the apparatus includes:
(1) A determining module 62, configured to determine, if it is monitored that the smart device moves from the first area to the second area, whether there is an association between the smart device and a first environmental parameter of the first area;
(2) A processing module 64 for, in the event that there is an association of the smart device with the first environmental parameter, disconnecting the association of the smart device with the first environmental parameter and determining whether to associate the smart device with a second environmental parameter of the second area.
Through the device, under the condition that the intelligent equipment is monitored to move from the first area to the second area, whether the intelligent equipment is associated with the first environment parameter of the first area or not is determined; under the condition that the intelligent equipment is associated with the first environment parameter, the association of the intelligent equipment and the first environment parameter is disconnected, and whether the intelligent equipment is associated with the second environment parameter of the second area is determined, so that the problems that in the prior art, when the intelligent equipment is moved to other positions, deviation can occur in intelligent equipment control through original position information and association relation of the equipment, expected effect cannot be achieved and the like can be solved, the association relation between the equipment and the environment data can be updated in time after the reporting position of the intelligent equipment is changed, the accuracy of intelligent equipment control is improved, and user experience is improved.
In one exemplary embodiment, the smart device may include: the sensing device can be understood as an environmental parameter used in a sensing area, the adjusting device can be understood as an environmental parameter used for adjusting a current environment, and the processing module is further used for selecting a first sensing device with highest sensing precision from other sensing devices and associating the first sensing device with the first environmental parameter when the intelligent device is the sensing device and the first environmental parameter is associated with the other sensing devices; and under the condition that the intelligent equipment is an adjusting equipment and other adjusting equipment is associated with the first environment parameter, selecting a second adjusting equipment with highest adjusting capacity from the other adjusting equipment, and associating the second adjusting equipment with the first environment parameter.
That is, the first sensing device with the highest sensing precision is selected from other sensing devices associated with the first environmental parameter, the first sensing device is associated with the first environmental parameter, when the intelligent device is an adjusting device, the second adjusting device with the highest adjusting capability is selected from other adjusting devices which are already associated with the first environmental parameter, and the selected second adjusting device is associated with the first environmental parameter, it should be noted that, in some application scenarios, the adjusting device with the highest sensing precision and the highest adjusting capability is preferable according to actual requirements, for example, the intelligent device with the lowest energy consumption and the lowest noise can be selected, and the invention does not limit the method too much.
In an exemplary embodiment, the processing module is further configured to, when the smart device is a sensing device and the second environmental parameter is already associated with another sensing device, select a third sensing device with highest sensing precision from the smart device and the other sensing devices, and associate the third sensing device with the second environmental parameter; and under the condition that the intelligent device is an adjusting device and the second environment parameter is related to other adjusting devices, selecting a fourth adjusting device with highest adjusting capability from the intelligent device and the other adjusting devices, and relating the fourth adjusting device with the second environment parameter.
In an exemplary embodiment, the processing module is further configured to associate the smart device to the second environmental parameter of the second area if the second environmental parameter is not associated with other smart devices.
For example, when an intelligent device (such as a sweeping robot) in a living room (equivalent to a first area) is transferred to a bedroom (equivalent to a second area), other intelligent devices which are not associated with the second environmental parameters of the second area cannot be queried in the cloud platform, and in this case, in order to enable the intelligent device to work normally, the second environmental parameters of the second area are directly associated with the sweeping robot transferred from the living room to the bedroom.
In an exemplary embodiment, the processing module is further configured to add a location field to the device model stored in the smart device and the cloud platform, where the location field is used to indicate that the smart device is located in the first area or the second area.
That is, a location field is added in the stored association relationship between the intelligent device and the device model of the cloud platform, so that the location of the current intelligent device is conveniently distinguished to be in the first area or the second area, and accurate control of the intelligent device in the current area is further realized.
In an exemplary embodiment, the first environmental parameter of the above apparatus includes at least one of: temperature, humidity, air quality, brightness; the second environmental parameter includes at least one of: temperature, humidity, air quality, brightness.
It should be noted that each of the above modules may be implemented by software or hardware, and for the latter, it may be implemented by, but not limited to: the modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.
An embodiment of the invention also provides a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
Alternatively, in the present embodiment, the above-described storage medium may be configured to store a computer program for performing the steps of:
s1, under the condition that intelligent equipment is monitored to move from a first area to a second area, determining whether the intelligent equipment is associated with a first environmental parameter of the first area or not;
s2, under the condition that the intelligent device is associated with the first environment parameter, the intelligent device is disconnected from the association with the first environment parameter, and whether the intelligent device is associated with a second environment parameter of the second area is determined.
Embodiments of the present invention also provide a computer readable storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when run.
In the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for performing the steps of:
s1, under the condition that intelligent equipment is monitored to move from a first area to a second area, determining whether the intelligent equipment is associated with a first environmental parameter of the first area or not;
s2, under the condition that the intelligent device is associated with the first environment parameter, the intelligent device is disconnected from the association with the first environment parameter, and whether the intelligent device is associated with a second environment parameter of the second area is determined.
In one exemplary embodiment, the computer readable storage medium may include, but is not limited to: a usb disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing a computer program.
An embodiment of the invention also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
In an exemplary embodiment, the electronic apparatus may further include a transmission device connected to the processor, and an input/output device connected to the processor.
In an exemplary embodiment, the above-mentioned processor may be arranged to perform the following steps by means of a computer program:
s1, under the condition that intelligent equipment is monitored to move from a first area to a second area, determining whether the intelligent equipment is associated with a first environmental parameter of the first area or not;
s2, under the condition that the intelligent device is associated with the first environment parameter, the intelligent device is disconnected from the association with the first environment parameter, and whether the intelligent device is associated with a second environment parameter of the second area is determined.
Specific examples in this embodiment may refer to the examples described in the foregoing embodiments and the exemplary implementation, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The processing method of the intelligent device is characterized by comprising the following steps of:
under the condition that the intelligent equipment is monitored to report that the intelligent equipment moves from a first area to a second area, determining whether the intelligent equipment is associated with a first environmental parameter of the first area or not;
disconnecting the smart device from association with the first environmental parameter and determining whether to associate the smart device to a second environmental parameter of the second area, where determining whether to associate the smart device to the second environmental parameter of the second area includes:
under the condition that the intelligent equipment is sensing equipment and the second environment parameters are related to other sensing equipment, selecting third sensing equipment with highest sensing precision from the intelligent equipment and the other sensing equipment, and relating the third sensing equipment to the second environment parameters;
and under the condition that the intelligent device is an adjusting device and the second environment parameter is related to other adjusting devices, selecting a fourth adjusting device with highest adjusting capability from the intelligent device and the other adjusting devices, and relating the fourth adjusting device with the second environment parameter.
2. The method of claim 1, wherein after disassociating the smart device from the first environmental parameter, the method further comprises:
when the intelligent device is a sensing device and the first environment parameter is associated with other sensing devices, selecting a first sensing device with highest sensing precision from the other sensing devices, and associating the first sensing device with the first environment parameter;
and under the condition that the intelligent equipment is an adjusting equipment and other adjusting equipment is associated with the first environment parameter, selecting a second adjusting equipment with highest adjusting capacity from the other adjusting equipment, and associating the second adjusting equipment with the first environment parameter.
3. The method of claim 1, wherein determining a second environmental parameter of whether to associate the smart device to the second area comprises:
and in the case that the second environment parameter is not associated with other intelligent devices, associating the intelligent devices to the second environment parameter of the second area.
4. The method according to claim 1, wherein the method further comprises:
and adding a position field in the device model stored in the intelligent device and the cloud platform, wherein the position field is used for indicating that the intelligent device is positioned in the first area or the second area.
5. The method according to any one of claims 1 to 4, wherein the first environmental parameter comprises at least one of: temperature, humidity, air quality, brightness; the second environmental parameter includes at least one of: temperature, humidity, air quality, brightness.
6. A processing apparatus of an intelligent device, comprising:
the determining module is used for determining whether the intelligent equipment is associated with a first environment parameter of the first area or not under the condition that the intelligent equipment is monitored to report that the intelligent equipment moves from the first area to the second area;
the processing module is used for disconnecting the association of the intelligent device and the first environment parameter and determining whether the intelligent device is associated with a second environment parameter of the second area when the intelligent device is associated with the first environment parameter, wherein the processing module is also used for selecting a third sensing device with highest sensing precision from the intelligent device and other sensing devices and associating the third sensing device with the second environment parameter when the intelligent device is a sensing device and the second environment parameter is associated with other sensing devices; and under the condition that the intelligent device is an adjusting device and the second environment parameter is related to other adjusting devices, selecting a fourth adjusting device with highest adjusting capability from the intelligent device and the other adjusting devices, and relating the fourth adjusting device with the second environment parameter.
7. The apparatus of claim 6, wherein the processing module is further configured to, if the smart device is a sensing device and the first environmental parameter is associated with another sensing device, select a first sensing device with a highest sensing precision from the other sensing devices, and associate the first sensing device with the first environmental parameter; and under the condition that the intelligent equipment is an adjusting equipment and other adjusting equipment is associated with the first environment parameter, selecting a second adjusting equipment with highest adjusting capacity from the other adjusting equipment, and associating the second adjusting equipment with the first environment parameter.
8. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program, wherein the computer program is arranged to execute the method of any of the claims 1 to 5 when run.
9. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of any of the claims 1 to 5.
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