CN116382110A - Equipment scheduling method and device, storage medium and electronic device - Google Patents
Equipment scheduling method and device, storage medium and electronic device Download PDFInfo
- Publication number
- CN116382110A CN116382110A CN202310342514.4A CN202310342514A CN116382110A CN 116382110 A CN116382110 A CN 116382110A CN 202310342514 A CN202310342514 A CN 202310342514A CN 116382110 A CN116382110 A CN 116382110A
- Authority
- CN
- China
- Prior art keywords
- equipment
- list
- information
- determining
- wake
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 230000003213 activating effect Effects 0.000 claims abstract description 19
- 230000001960 triggered effect Effects 0.000 claims abstract description 16
- 238000004590 computer program Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 8
- 238000013136 deep learning model Methods 0.000 claims description 5
- 230000004913 activation Effects 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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] or computer integrated manufacturing [CIM]
-
- 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
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a device scheduling method and device, a storage medium and an electronic device, and relates to the technical field of smart families, wherein the device scheduling method comprises the following steps: acquiring a wake-up event triggered by a first device in the Internet of things, and determining a candidate device scheduling list according to the wake-up event, wherein the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things; determining object identity information of a target object triggering the wake-up event, and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information; and activating the second equipment contained in the equipment scheduling list. By adopting the technical scheme, the problem that equipment scheduling cannot be reasonably performed is solved.
Description
Technical Field
The application relates to the technical field of smart families, in particular to a device scheduling method and device, a storage medium and an electronic device.
Background
Smart households are environments that consist of a range of smart devices, with the primary goal of enabling users to feel "goodwill" with smart home devices. In order to make the intelligent home equipment better speculate the demands of users, richer and more diversified information is required to be provided, so that various equipment in the intelligent home are required to be matched with each other, richer and more diversified information is provided, thereby helping the decision brain to provide more comprehensive decision basis and providing more personalized services for the users. For example, when the sensor detects that the door lock of the user is opened, if the face can be detected through the camera, and information such as temperature, humidity, lamplight and the like is detected through the indoor sensor, a more personalized home mode can be provided for the user. But many intelligent devices are included in the user's home, the information that can be collected by different devices is inconsistent, and the utility of the information collected by different devices in different scenarios, such as information from a smoke sensor, may not be useful in the home mode scenario mode. And because of limitations in computing power, network bandwidth, and energy consumption resources, the intelligent device cannot be in the process of collecting data in real time. Namely, in the related art, a great contradiction exists between the richness of information collection and the resource occupation.
Aiming at the problem that equipment scheduling cannot be reasonably performed in the related technology, no effective solution is proposed at present.
Accordingly, there is a need for improvements in the related art to overcome the drawbacks of the related art.
Disclosure of Invention
The embodiment of the application provides a device scheduling method and device, a storage medium and an electronic device, so as to at least solve the problem that device scheduling cannot be reasonably performed.
According to an aspect of an embodiment of the present application, there is provided a device scheduling method, including: acquiring a wake-up event triggered by a first device in the Internet of things, and determining a candidate device scheduling list according to the wake-up event, wherein the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things; determining object identity information of a target object triggering the wake-up event, and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information; and activating the second equipment contained in the equipment scheduling list.
In an exemplary embodiment, the determining a candidate device schedule list according to the wake event includes: querying the equipment state of each equipment in a first equipment list, and screening a second equipment list from the first equipment list based on the equipment state of each equipment, wherein the equipment in the first equipment list and the first equipment are located in the same area, and the equipment in the second equipment list is in a specified state; acquiring a third equipment list from a specified knowledge base according to the wake-up event; and determining an intersection of the third device list and the second device list as the candidate device schedule list.
In an exemplary embodiment, the determining, based on the object identity information, a device schedule list matching the target object from the candidate device schedule list includes: acquiring environment information of an area where the first equipment is currently located; and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information and the environment information.
In an exemplary embodiment, the determining, based on the object identity information, a device schedule list matching the target object from the candidate device schedule list includes: determining preference information of the target object according to the object identity information; determining the equipment score of each piece of equipment according to the preference information, the wake-up event and the equipment attribute information of each piece of equipment in the candidate equipment scheduling list; and determining a plurality of devices with scores greater than a preset threshold value from the candidate device scheduling list, wherein the device scheduling list comprises the plurality of devices.
In an exemplary embodiment, the determining the device score of each device according to the preference information, the wake event, and the device attribute information of each device in the candidate device schedule list includes: determining wake-up information according to the wake-up event, wherein the wake-up information comprises event information and acquisition information, the event information is used for indicating that a target object controls the first equipment to execute specified operation, and the acquisition information is information obtained by the first equipment for acquiring information of an environment in the process of executing the specified operation; and inputting the preference information, the wake-up information and the equipment attribute information of each equipment in the candidate equipment set into a deep learning model to obtain the score of each equipment.
In an exemplary embodiment, after said activating said second device included in said device schedule list, said method further comprises: acquiring information acquired by each second device in the device scheduling list; determining a device set to be controlled and an operation to be executed of each device in the device set to be controlled according to the wake-up event and the information acquired by each second device; and controlling each device in the device set to be controlled to execute a corresponding operation to be executed.
In an exemplary embodiment, after said activating said second device included in said device schedule list, said method further comprises: and after the preset time, controlling all the second devices contained in the device scheduling list to be in an inactive state, wherein the second devices stop information acquisition under the condition that the second devices are in the inactive state.
According to another aspect of the embodiments of the present application, there is also provided an apparatus scheduling device, including: the device comprises a first determining module, a second determining module and a first scheduling module, wherein the first determining module is used for acquiring a wake-up event triggered by a first device in the Internet of things and determining a candidate device scheduling list according to the wake-up event, and the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things; the second determining module is used for determining object identity information of a target object triggering the wake-up event and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information; and the activation module is used for activating the second equipment contained in the equipment scheduling list.
According to yet another aspect of the embodiments of the present application, there is also provided a computer readable storage medium having a computer program stored therein, wherein the computer program is configured to perform the above-described device scheduling method when run.
According to still another aspect of the embodiments of the present application, there is further provided an electronic apparatus including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the device scheduling method described above through the computer program.
According to the method and the device, a wake-up event triggered by a first device in the Internet of things is acquired, and a candidate device scheduling list is determined according to the wake-up event; and determining object identity information of the target object triggering the wake-up event, determining a device scheduling list matched with the target object from the candidate device scheduling list based on the object identity information, and further activating second devices contained in the device scheduling list. By adopting the technical scheme, the scheduling equipment can reasonably provide decision information for the intelligent home system, meanwhile, the occupation of system resources caused by calling more equipment for information acquisition is avoided, and the problem that equipment scheduling cannot be reasonably performed is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic diagram of a hardware environment of a device scheduling method according to an embodiment of the present application;
FIG. 2 is a flow chart (one) of a device scheduling method according to an embodiment of the present application;
FIG. 3 is a flow chart (II) of a device scheduling method according to an embodiment of the present application;
FIG. 4 is a block diagram of a device scheduling apparatus according to an embodiment of the present application;
fig. 5 is a block diagram (two) of the configuration of the device scheduling apparatus according to the embodiment of the present application.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to one aspect of the embodiments of the present application, a device scheduling method is provided. The equipment scheduling method is widely applied to full-house intelligent digital control application scenes such as intelligent Home (Smart Home), intelligent Home equipment ecology, intelligent Home (intelligent house) ecology and the like. Alternatively, in the present embodiment, the above-described device scheduling method may be applied to a hardware environment constituted by the terminal device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal device 102 through a network, and may be used to provide services (such as application services and the like) for a terminal or a client installed on the terminal, a database may be set on the server or independent of the server, for providing data storage services for the server 104, and cloud computing and/or edge computing services may be configured on the server or independent of the server, for providing data computing services for the server 104.
The network may include, but is not limited to, at least one of: wired network, wireless network. The wired network may include, but is not limited to, at least one of: a wide area network, a metropolitan area network, a local area network, and the wireless network may include, but is not limited to, at least one of: WIFI (Wireless Fidelity ), bluetooth. The terminal device 102 may not be limited to a PC, a mobile phone, a tablet computer, an intelligent air conditioner, an intelligent smoke machine, an intelligent refrigerator, an intelligent oven, an intelligent cooking range, an intelligent washing machine, an intelligent water heater, an intelligent washing device, an intelligent dish washer, an intelligent projection device, an intelligent television, an intelligent clothes hanger, an intelligent curtain, an intelligent video, an intelligent socket, an intelligent sound box, an intelligent fresh air device, an intelligent kitchen and toilet device, an intelligent bathroom device, an intelligent sweeping robot, an intelligent window cleaning robot, an intelligent mopping robot, an intelligent air purifying device, an intelligent steam box, an intelligent microwave oven, an intelligent kitchen appliance, an intelligent purifier, an intelligent water dispenser, an intelligent door lock, and the like.
In order to solve the above-mentioned problem, in this embodiment, a device scheduling method is provided, including but not limited to an intelligent home system applied to the terminal device 102 or the server 104, and fig. 2 is a flowchart (one) of the device scheduling method according to an embodiment of the present application, where the flowchart includes the following steps:
step S202, a wake-up event triggered by a first device in the Internet of things is acquired, and a candidate device scheduling list is determined according to the wake-up event, wherein the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things;
as an alternative example, the first device is one of the user's home, and the wake event includes, but is not limited to, the user unlocking a door lock, and so on.
As an optional example, acquiring a wake event triggered by a first device in the internet of things includes: acquiring a wake-up event triggered by a first device in the Internet of things; or acquiring wake-up events triggered by a plurality of first devices in the Internet of things.
In an exemplary embodiment, the above determination of the candidate device schedule list according to the wake event may be implemented by the following steps S11-S13:
step S11: querying the equipment state of each equipment in a first equipment list, and screening a second equipment list from the first equipment list based on the equipment state of each equipment, wherein the equipment in the first equipment list and the first equipment are located in the same area, and the equipment in the second equipment list is in a specified state;
it should be noted that the device status of the device includes, but is not limited to: on-line and off-line; the specified state is an on-line state. I.e. a first list of devices located in the same area as the first device (e.g. at a home) may be determined and a second list of devices on-line is determined from the first list of devices.
Step S12: acquiring a third equipment list from a specified knowledge base according to the wake-up event;
in one exemplary embodiment, different device lists in the knowledge base are specified that have different wake event correspondence. That is, the third device list may be preliminarily determined according to the specified knowledge base, where the devices described in the third device list are devices that need to be scheduled for information collection.
Step S13: and determining an intersection of the third device list and the second device list as the candidate device schedule list.
It should be noted that, since only the devices recorded in the second device list are online among the devices located in the same area as the first device, no matter which devices are determined from the specified knowledge base, only the devices can be selected from the second device list for scheduling, and therefore, the intersection of the third device list and the second device list needs to be determined as a candidate device scheduling list.
Step S204, determining object identity information of a target object triggering the wake-up event, and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information;
it should be noted that, different target objects have differences, and further, in order to perform device scheduling more accurately, a device scheduling list matching with the target object needs to be determined from candidate device scheduling lists based on object identity information of the target object.
In an exemplary embodiment, the above-mentioned determining, from the candidate device schedule list, a device schedule list matching the target object based on the object identity information may be implemented by the following steps S21-S22:
step S21: acquiring environment information of an area where the first equipment is currently located;
it should be noted that the environmental information includes, but is not limited to: weather conditions (rainy, sunny, etc.), air quality conditions, etc.
Step S22: and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information and the environment information.
It should be noted that, considering that the reactions of different users to the environment are different, and further, in order to perform device scheduling more reasonably, the device scheduling list matching the target object may be determined from the candidate device scheduling list in step S22.
For example, if the target object itself is sensitive to air quality and the current environmental information indicates that the air quality is poor for the current day, a device that can detect air quality in the house may be determined from the candidate device schedule list, and this device is taken as one device in the device schedule list.
In an exemplary embodiment, the above-mentioned determination of the device schedule list matching the target object from the candidate device schedule list based on the object identity information may be implemented by the following steps S31-S33:
step S31: determining preference information of the target object according to the object identity information;
it should be noted that the preference information includes, but is not limited to, daily hobbies of the target object (e.g., like reading books), lifestyle (e.g., like a warm environment), and the like.
In one exemplary embodiment, the preference information of the target object may be acquired by:
mode one: acquiring pre-configured preference information of a target object;
mode two: and determining preference information of the target object according to the historical usage record of the equipment used by the target object.
Step S32: determining the equipment score of each piece of equipment according to the preference information, the wake-up event and the equipment attribute information of each piece of equipment in the candidate equipment scheduling list;
note that the attribute information of the device includes, but is not limited to: the type of device, the function of the device, etc. In order to more accurately determine the score of each device, it is also necessary to incorporate context information (i.e., a wake event triggered by the first device).
In an exemplary embodiment, the above step S32 may be implemented by the following steps S321 to S322:
step S321: determining wake-up information according to the wake-up event, wherein the wake-up information comprises event information and acquisition information, the event information is used for indicating that a target object controls the first equipment to execute specified operation, and the acquisition information is information obtained by the first equipment for acquiring information of an environment in the process of executing the specified operation;
step S322: and inputting the preference information, the wake-up information and the equipment attribute information of each equipment in the candidate equipment set into a deep learning model to obtain the score of each equipment.
In the present embodiment, the score of each device can be accurately determined by the deep learning model.
Step S33: and determining a plurality of devices with scores greater than a preset threshold value from the candidate device scheduling list, wherein the device scheduling list comprises the plurality of devices.
Step S206, activating the second device included in the device schedule list.
In an exemplary embodiment, the devices described in the device schedule list have a priority relationship, and when a second device included in the device schedule list is activated, a second device having a higher priority is preferentially activated.
Through the steps, a wake-up event triggered by a first device in the Internet of things is obtained, and a candidate device scheduling list is determined according to the wake-up event; and determining object identity information of the target object triggering the wake-up event, determining a device scheduling list matched with the target object from the candidate device scheduling list based on the object identity information, and further activating second devices contained in the device scheduling list. By adopting the technical scheme, the scheduling equipment can reasonably provide decision information for the intelligent home system, the occupation of system resources caused by calling more equipment for information acquisition is avoided, and the problem that equipment scheduling cannot be reasonably performed is solved.
In an exemplary embodiment, after performing step S206 described above, there are also the following steps S41-S43:
step S41: acquiring information acquired by each second device in the device scheduling list;
step S42: determining a device set to be controlled and an operation to be executed of each device in the device set to be controlled according to the wake-up event and the information acquired by each second device;
as an optional example, the decision module of the smart home system may determine, according to a preset device linkage rule, a set of devices to be controlled and an operation to be performed of each device in the set of devices to be controlled.
Step S43: and controlling each device in the device set to be controlled to execute a corresponding operation to be executed.
It should be noted that after the second devices included in the device schedule list are activated, the second devices included in the device schedule list may perform information collection, so that the decision module of the smart home system may make a decision according to the wake-up event and the information collected by each second device, to determine which devices need to be controlled to perform which operations.
In an exemplary embodiment, after performing step S206 described above, the method further includes: and after the preset time, controlling the second equipment contained in the equipment scheduling list to be in an inactive state, wherein the second equipment stops information acquisition under the condition that the second equipment is in the inactive state.
As an optional example, the preset time includes, but is not limited to, 2 minutes, that is, 2 minutes after the second device included in the device schedule list is activated, and the second device included in the device schedule list is controlled to be in an inactive state, so that the second device stops information collection, and occupation of resources can be avoided.
It will be apparent that the embodiments described above are only some, but not all, of the embodiments of the present application. For better understanding of the above method, the following description will explain the above process with reference to the examples, but is not intended to limit the technical solutions of the embodiments of the present application, specifically:
in an alternative embodiment, fig. 3 is a flow chart (two) of a device scheduling method according to an embodiment of the present application;
step one: receiving wake-up events sent by one or more IOT devices;
step two: and determining the possibly activated intelligent device according to the information of the device type, the device position, the device state, the intelligent devices existing in the home and the like of the IOT device in the step one.
As an illustrative example, a specific determination may be the following, but is not limited to these: 1) Acquiring the type of the intelligent equipment existing in the current environment through system initialization scanning; 2) Filtering off-line equipment by querying the state of each equipment and filtering the result of 1); 3) And (3) filtering the result in the step (2) according to the wake-up event and the device type and the knowledge base related to the device position to obtain a candidate active device list.
Step three: and according to the information collected by the IOT equipment, the candidate active equipment list is combined with the user portrait information, and the equipment in the candidate active equipment list is ordered.
And step two, sorting the possibly activated devices through a sorting algorithm to obtain an activated device list. For example, when a door lock open event is detected, the candidate activation device may be a smart device such as a temperature, humidity sensor, light, air conditioner, or the like. The user knows from the portrait of the user that the user is afraid of heat, so that the temperature sensor is activated first for the candidate device list to acquire temperature information. The specific implementation manner can be that Xgboost, deepWide and an algorithm based on deep learning are used, attributes of images of users and devices are taken as features to be input into an algorithm model, and the algorithm model gives scores of the devices.
Step four: setting a threshold T for the sorting result in the step three, and selecting an activation device with a score higher than the threshold T according to the sorting result.
Step five: and (3) sending the information obtained by the IOT equipment and the information acquired by the activating equipment in the step four into a decision module, and outputting the response action of the system.
In the embodiment of the application, the IOT equipment is intelligently scheduled according to the user input information, the family environment information and the user portrait information; through intelligent scheduling, avoid all opening intelligent device simultaneously, reduce the resource occupation.
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 application 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 (such as ROM/RAM, magnetic disk, optical disk), comprising several 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 of the embodiments of the present application.
The embodiment also provides a device scheduling apparatus, which is used to implement the foregoing embodiments and preferred embodiments, and is 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 devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware, are also possible and contemplated.
Fig. 4 is a block diagram (a) of a device scheduling apparatus according to an embodiment of the present application, the apparatus including:
a first determining module 42, configured to obtain a wake-up event triggered by a first device in the internet of things, and determine a candidate device scheduling list according to the wake-up event, where the candidate device scheduling list includes an identifier of a second device in a to-be-activated state associated with the first device in the internet of things;
a second determining module 44, configured to determine object identity information of a target object that triggers the wake event, and determine, from the candidate device schedule lists, a device schedule list that matches the target object based on the object identity information;
an activating module 46, configured to activate the second device included in the device schedule list.
Through the device, the wake-up event triggered by the first equipment in the Internet of things is acquired, and the candidate equipment scheduling list is determined according to the wake-up event; and determining object identity information of the target object triggering the wake-up event, determining a device scheduling list matched with the target object from the candidate device scheduling list based on the object identity information, and further activating second devices contained in the device scheduling list. By adopting the technical scheme, the scheduling equipment can reasonably provide decision information for the intelligent home system, the occupation of system resources caused by calling more equipment for information acquisition is avoided, and the problem that equipment scheduling cannot be reasonably performed is solved.
In an exemplary embodiment, the first determining module 42 is further configured to query a device status of each device in the first device list, and screen a second device list from the first device list based on the device status of each device, where the devices in the first device list are located in a same area as the first device, and the devices in the second device list are all in a specified state; acquiring a third equipment list from a specified knowledge base according to the wake-up event; and determining an intersection of the third device list and the second device list as the candidate device schedule list.
In an exemplary embodiment, the second determining module 44 is further configured to obtain environmental information of an area where the first device is currently located; and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information and the environment information.
In an exemplary embodiment, the second determining module 44 is further configured to determine preference information of the target object according to the object identity information; determining the equipment score of each piece of equipment according to the preference information, the wake-up event and the equipment attribute information of each piece of equipment in the candidate equipment scheduling list; and determining a plurality of devices with scores greater than a preset threshold value from the candidate device scheduling list, wherein the device scheduling list comprises the plurality of devices.
In an exemplary embodiment, the second determining module 44 is further configured to determine wake-up information according to the wake-up event, where the wake-up information includes event information and collection information, where the event information is used to indicate that the target object has controlled the first device to perform a specified operation, and the collection information is information obtained by the first device collecting information about an environment during the process of performing the specified operation; and inputting the preference information, the wake-up information and the equipment attribute information of each equipment in the candidate equipment set into a deep learning model to obtain the score of each equipment.
In an exemplary embodiment, fig. 5 is a block diagram (two) of a device scheduling apparatus according to an embodiment of the present application, and as shown in fig. 5, the apparatus further includes: a control module 48, configured to obtain information collected by each second device in the device schedule list after activating the second devices included in the device schedule list; determining a device set to be controlled and an operation to be executed of each device in the device set to be controlled according to the wake-up event and the information acquired by each second device; and controlling each device in the device set to be controlled to execute a corresponding operation to be executed.
In an exemplary embodiment, the control module 48 is further configured to control, after activating the second devices included in the device schedule list, after a preset time, all the second devices included in the device schedule list to be in an inactive state, where in a case where the second devices are in an inactive state, the second devices stop information collection.
Embodiments of the present application 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.
Alternatively, in the present embodiment, the above-described storage medium may be configured to store a computer program for performing the steps of:
s1, acquiring a wake-up event triggered by a first device in the Internet of things, and determining a candidate device scheduling list according to the wake-up event, wherein the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things;
s2, determining object identity information of a target object triggering the wake-up event, and determining a device scheduling list matched with the target object from the candidate device scheduling list based on the object identity information;
s3, activating the second equipment contained in the equipment scheduling list.
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.
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.
Embodiments of the present application also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
s1, acquiring a wake-up event triggered by a first device in the Internet of things, and determining a candidate device scheduling list according to the wake-up event, wherein the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things;
s2, determining object identity information of a target object triggering the wake-up event, and determining a device scheduling list matched with the target object from the candidate device scheduling list based on the object identity information;
s3, activating the second equipment contained in the equipment scheduling list.
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.
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 application 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 application is not limited to any specific combination of hardware and software.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application and are intended to be comprehended within the scope of the present application.
Claims (10)
1. A method for scheduling devices, comprising:
acquiring a wake-up event triggered by a first device in the Internet of things, and determining a candidate device scheduling list according to the wake-up event, wherein the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things;
determining object identity information of a target object triggering the wake-up event, and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information;
and activating the second equipment contained in the equipment scheduling list.
2. The method of claim 1, wherein the determining a candidate device schedule list from the wake event comprises:
querying the equipment state of each equipment in a first equipment list, and screening a second equipment list from the first equipment list based on the equipment state of each equipment, wherein the equipment in the first equipment list and the first equipment are located in the same area, and the equipment in the second equipment list is in a specified state;
acquiring a third equipment list from a specified knowledge base according to the wake-up event;
and determining an intersection of the third device list and the second device list as the candidate device schedule list.
3. The method of claim 1, wherein the determining a device schedule list matching the target object from the candidate device schedule list based on the object identity information comprises:
acquiring environment information of an area where the first equipment is currently located;
and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information and the environment information.
4. The method of claim 1, wherein the determining a device schedule list matching the target object from the candidate device schedule list based on the object identity information comprises:
determining preference information of the target object according to the object identity information;
determining the equipment score of each piece of equipment according to the preference information, the wake-up event and the equipment attribute information of each piece of equipment in the candidate equipment scheduling list;
and determining a plurality of devices with scores greater than a preset threshold value from the candidate device scheduling list, wherein the device scheduling list comprises the plurality of devices.
5. The method of claim 4, wherein the determining the device score for each device based on the preference information, the wake event, and the device attribute information for each device in the candidate device schedule list comprises:
determining wake-up information according to the wake-up event, wherein the wake-up information comprises event information and acquisition information, the event information is used for indicating that a target object controls the first equipment to execute specified operation, and the acquisition information is information obtained by the first equipment for acquiring information of an environment in the process of executing the specified operation;
and inputting the preference information, the wake-up information and the equipment attribute information of each equipment in the candidate equipment set into a deep learning model to obtain the score of each equipment.
6. The method according to any one of claims 1 to 5, wherein after said activating the second device contained in the device schedule list, the method further comprises:
acquiring information acquired by each second device in the device scheduling list;
determining a device set to be controlled and an operation to be executed of each device in the device set to be controlled according to the wake-up event and the information acquired by each second device;
and controlling each device in the device set to be controlled to execute a corresponding operation to be executed.
7. The method according to any one of claims 1 to 5, wherein after said activating the second device contained in the device schedule list, the method further comprises:
and after the preset time, controlling all the second devices contained in the device scheduling list to be in an inactive state, wherein the second devices stop information acquisition under the condition that the second devices are in the inactive state.
8. A device scheduling apparatus, comprising:
the device comprises a first determining module, a second determining module and a first scheduling module, wherein the first determining module is used for acquiring a wake-up event triggered by a first device in the Internet of things and determining a candidate device scheduling list according to the wake-up event, and the candidate device scheduling list comprises an identifier of a second device in a to-be-activated state, which is associated with the first device in the Internet of things;
the second determining module is used for determining object identity information of a target object triggering the wake-up event and determining a device scheduling list matched with the target object from the candidate device scheduling lists based on the object identity information;
and the activation module is used for activating the second equipment contained in the equipment scheduling list.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program when run performs the method of any one of claims 1 to 7.
10. 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 execute the method according to any of claims 1 to 7 by means of the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310342514.4A CN116382110A (en) | 2023-03-31 | 2023-03-31 | Equipment scheduling method and device, storage medium and electronic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310342514.4A CN116382110A (en) | 2023-03-31 | 2023-03-31 | Equipment scheduling method and device, storage medium and electronic device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116382110A true CN116382110A (en) | 2023-07-04 |
Family
ID=86974558
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310342514.4A Pending CN116382110A (en) | 2023-03-31 | 2023-03-31 | Equipment scheduling method and device, storage medium and electronic device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116382110A (en) |
-
2023
- 2023-03-31 CN CN202310342514.4A patent/CN116382110A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114740748A (en) | Smart home scene creation method and device, storage medium and electronic device | |
| CN112488555A (en) | Intelligent scene configuration method and device, storage medium and electronic equipment | |
| CN109974235A (en) | Control the method, apparatus and household appliance of household appliance | |
| JP2018514835A (en) | Method and apparatus for controlling an environmental management system in a building | |
| CN115167164A (en) | Method and device for determining equipment scene, storage medium and electronic device | |
| WO2023207170A1 (en) | Washing program recommendation method and apparatus, storage medium, and electronic apparatus | |
| CN114697150B (en) | Command issuing method and device, storage medium and electronic device | |
| CN115327934A (en) | Intelligent household scene recommendation method and system, storage medium and electronic device | |
| CN116540556A (en) | Equipment control method and device based on user habit | |
| CN114915514B (en) | Method and device for processing intention, storage medium and electronic device | |
| CN116382110A (en) | Equipment scheduling method and device, storage medium and electronic device | |
| CN110471298A (en) | A kind of intelligent electrical appliance control, equipment and computer-readable medium | |
| CN116107975A (en) | Control method and device of equipment, storage medium and electronic device | |
| CN113852657B (en) | Smart home local control method and system based on edge calculation | |
| CN115309062A (en) | Device control method, device, storage medium, and electronic apparatus | |
| CN115167161A (en) | Method and device for determining association relation of lamp, storage medium and electronic device | |
| CN114137842A (en) | Scene configuration method and device, electronic equipment and storage medium | |
| CN114167738A (en) | Equipment linkage control method, device, equipment and storage medium | |
| CN115297103B (en) | Method and device for acquiring logic constraint file, storage medium and electronic device | |
| CN115314332B (en) | Equipment theme setting method and device, storage medium and electronic device | |
| CN116185794A (en) | Method and device for determining equipment operation preference, storage medium and electronic device | |
| CN116483449A (en) | Equipment awakening method and device, storage medium and electronic device | |
| CN108732937A (en) | Remote controler, mobile terminal, the display methods of control interface and medium | |
| CN115148204B (en) | Voice wakeup processing method and device, storage medium and electronic device | |
| CN117527459A (en) | Control method and device of intelligent equipment, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |