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CN-121984993-A - Internet of things equipment control method, equipment, storage medium and program product

CN121984993ACN 121984993 ACN121984993 ACN 121984993ACN-121984993-A

Abstract

The application discloses a control method, equipment, a storage medium and a program product of equipment of the Internet of things, which relate to the technical field of intelligent home/intelligent families, wherein the control method of the equipment of the Internet of things comprises the steps of determining scene tags which are matched with user intention information and environment information by acquiring the user intention information and the environment information; acquiring device capability information of a plurality of devices in the current Internet of things, and matching a cross-category device group in the plurality of devices according to scene labels and the device capability information to obtain a dynamic device group. According to the method, by means of a cross-category device matching mechanism, devices with different functions are dynamically combined, the device cooperation requirement under a complex scene can be met, automation of device grouping, cross-category and scene change are achieved, the problems of complex operation, device category limitation and insufficient intelligence in the prior art are solved, and the scene execution efficiency is improved.

Inventors

  • YIN DESHUAI
  • LI WEI
  • HUANG TAO
  • YIN FEI

Assignees

  • 青岛海尔科技有限公司
  • 海尔优家智能科技(北京)有限公司
  • 青岛海尔智能家电科技有限公司

Dates

Publication Date
20260505
Application Date
20251229

Claims (10)

  1. 1. The method for controlling the equipment of the Internet of things is characterized by comprising the following steps: acquiring user intention information and environment information, wherein the user intention information comprises one or more of a combination of a voice instruction, an operation record and equipment use habit, and the environment information comprises one or more of a combination of geographic position, time and sensor data; Determining scene tags adapted to both the user intent information and the environmental information; Acquiring device capability information of a plurality of devices in the current Internet of things, wherein the device capability information is used for representing a data set of executable operation capability of each device; and matching the cross-category equipment group in the plurality of equipment according to the scene tag and the equipment capability information to obtain a dynamic equipment group, wherein the dynamic equipment group comprises a plurality of types of equipment.
  2. 2. The method of claim 1, wherein matching across class device groups among the plurality of devices based on the scene tag and device capability information results in a dynamic device group, comprising: determining a target preset equipment type corresponding to the scene tag and capability information of each target preset equipment type in a preset association relationship, wherein the association relationship comprises the association relationship of the preset scene tag, the preset equipment type and the preset equipment capability information; and matching a plurality of target devices matched with the target preset device type and the capability information of each target preset device type from the plurality of devices to obtain the dynamic device group.
  3. 3. The method according to claim 2, wherein said matching a plurality of target devices adapted to the target preset device type and capability information of each of the target preset device types from the plurality of devices to obtain the dynamic device group includes: Matching a plurality of target devices matched with the target preset device type and the capability information of each target preset device type from the plurality of devices; In the case that a plurality of function coincidence target devices with the same functions and different types exist in the plurality of target devices, setting the plurality of function coincidence target devices in the dynamic device group, and in the case that a target condition is met, updating the dynamic device group based on the target condition; wherein the meeting of the target condition comprises that equipment offline exists in the multiple functional coincidence target equipment, the updating of the dynamic equipment group based on the target condition comprises deleting the offline equipment from the dynamic equipment group and/or, The method comprises the steps of detecting that the multiple function superposition target devices synchronously run for a preset time period, and updating the dynamic device group based on the target conditions, wherein the step of deleting part of target devices of the multiple function superposition target devices from the dynamic device group comprises one or more of the following steps of enabling the device with highest energy consumption in the multiple function superposition target devices, the device with lowest user use frequency in the multiple function superposition target devices and the device with longest running time in the multiple function superposition target devices.
  4. 4. The method of claim 3, wherein the determining a scene tag that is adapted to both the user intent information and the environmental information comprises: Acquiring target user intention information corresponding to the operation capability sequence in the user intention information and target environment information corresponding to the operation capability sequence in the environment information under the condition that the operation capability sequence with the co-occurrence frequency meeting the set requirement is detected in the user intention information; performing feature extraction on the target user intention information and the target environment information to obtain feature information, wherein the feature extraction is used for extracting key features; and carrying out cluster analysis on the characteristic information to obtain the scene tag, wherein the cluster analysis is used for classifying the data with similar characteristics into uniform scene tags.
  5. 5. The method according to claim 4, wherein the method further comprises: Displaying the scene tag and the dynamic equipment group; when the scene tag is received and modified by a user, and/or the dynamic equipment group is modified by the user, determining a new scene tag and a new dynamic equipment group based on the scene tag modified by the user and/or the dynamic equipment group modified by the user; and sending a differentiated control instruction matched with the scene tag to the dynamic equipment group under the condition that the user confirms the scene tag and the user confirms the dynamic equipment group, wherein the differentiated control instruction is issued for each equipment capability in the dynamic equipment group.
  6. 6. The method of claim 5, wherein the method further comprises: Displaying information for prompting that a scene corresponding to the scene tag is started under the condition that the equipment related to the differentiated control instruction executes and completes the respective control instruction; Or under the condition that the internet of things equipment related to the differentiated control instruction does not execute the control instruction to finish each control instruction, recording information of equipment with execution failure, controlling the equipment with the execution failure to execute the corresponding control instruction again, and/or indicating alarm information.
  7. 7. The method according to claim 5 or 6, wherein, The differential control instruction is used for controlling the dimming function of one or more lamps, the sun shading function of one or more curtains and the playing function of one or more multimedia devices when the scene tag is a home theater scene; The differentiation control instruction is used for controlling the switching function of one or more lamps and the temperature regulating function of one or more temperature regulating devices under the condition that the scene tag is a sleep aiding scene; The differentiated control instruction is used for controlling the security function of one or more security devices and the switching function of one or more lamps under the condition that the scene tag is a security scene away from home; the differentiation control instruction is used for controlling the dimming function of one or more lamps and the temperature regulating function of one or more temperature regulating devices under the condition that the scene tag is a reading scene; And under the condition that the scene tag is a welcome scene, the differentiated control instruction is used for controlling the dimming function of one or more lamps and the temperature regulating function of one or more temperature regulating devices.
  8. 8. 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.
  9. 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. 10. A computer program product comprising a computer program which, when executed by a processor, implements the method of any one of claims 1 to 7.

Description

Internet of things equipment control method, equipment, storage medium and program product Technical Field The application relates to the field of intelligent home/smart home, in particular to an Internet of things equipment control method, equipment, a storage medium and a program product. Background With the rapid development of the internet of things technology, the number and variety of devices in the fields of intelligent home, industrial internet of things and the like continue to increase, and the cooperative control of various devices such as lights, curtains, sensors, household appliances, security devices and the like has become a core requirement of the internet of things system. The existing internet of things system generally adopts a static configuration mode of 'similar equipment grouping', and users need to manually create and manage the same type of equipment (such as a light group and a curtain group) respectively. However, in the conventional static configuration mode, when cooperative control of multiple types of devices is performed, the cooperative control flow is complex, the operation is complicated, and the scene configuration efficiency is easily reduced greatly. Disclosure of Invention The application provides a control method, equipment, a storage medium and a program product of equipment of the Internet of things, which are used for solving the technical problems that the cooperative control flow is complex and the operation is complex when the cooperative control of multi-class equipment is carried out in the existing static configuration mode, and the scene configuration efficiency is easy to be greatly reduced. In a first aspect, the present application provides a method for controlling an internet of things device, including: The method comprises the steps of acquiring user intention information and environment information, wherein the user intention information comprises one or more of a voice instruction, an operation record and equipment use habit; Determining scene tags which are matched with the user intention information and the environment information; acquiring device capability information of a plurality of devices in the current Internet of things, wherein the device capability information is used for representing a data set of executable operation capability of each device; and matching the cross-category device group in a plurality of devices according to the scene tag and the device capability information to obtain a dynamic device group, wherein the dynamic device group comprises a plurality of types of devices. In one possible implementation, matching across class device groups among a plurality of devices according to scene tags and device capability information to obtain a dynamic device group includes: determining a target preset equipment type corresponding to the scene tag and capability information of each target preset equipment type in a preset association relationship, wherein the association relationship comprises the association relationship of the preset scene tag, the preset equipment type and the preset equipment capability information; and matching a plurality of target devices matched with the target preset device types and the capability information of each target preset device type from the plurality of devices to obtain a dynamic device group. In one possible implementation manner, a dynamic device group is obtained from a plurality of devices by matching a plurality of target devices adapted to a target preset device type and capability information of each target preset device type, and the method includes: matching a plurality of target devices matched with the target preset device types and the capability information of each target preset device type from the plurality of devices; in the case that a plurality of function coincidence target devices with the same functions and different types exist in a plurality of target devices, setting the plurality of function coincidence target devices in a dynamic device group, and updating the dynamic device group based on the target conditions when the target conditions are satisfied; wherein the meeting of the target condition includes that a plurality of functions coincide with a condition that a device is offline exists in the target device, and the updating of the dynamic device group based on the target condition includes deleting the offline device from the dynamic device group, and/or, The method comprises the steps of detecting that a plurality of function coincidence target devices synchronously run for a preset time period, and updating the dynamic device group based on the target conditions, wherein the step of deleting part of the plurality of function coincidence target devices from the dynamic device group, and the part of the target devices comprises one or more of the following combination of the device with the highest energy consumption in the plurality of function coincidence tar