CN110784336A - Multi-device intelligent timing delay scene setting method and system based on Internet of things - Google Patents

Multi-device intelligent timing delay scene setting method and system based on Internet of things Download PDF

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Publication number
CN110784336A
CN110784336A CN201910914061.1A CN201910914061A CN110784336A CN 110784336 A CN110784336 A CN 110784336A CN 201910914061 A CN201910914061 A CN 201910914061A CN 110784336 A CN110784336 A CN 110784336A
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rule
scene
internet
timing
things
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CN201910914061.1A
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姚熙
廖统浪
张晓玮
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Beijing Fangyan Mohang Technology Co Ltd
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Beijing Fangyan Mohang Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols 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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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer And Data Communications (AREA)

Abstract

The application discloses a multi-device intelligent timing delay scene setting method and system based on the Internet of things. According to the invention, the configured action of the terminal of the Internet of things is started at the specified time, the rule corresponding to the scene service is started under the rule of the timed service, the purpose that a group of related actions are jointly triggered by multiple devices at the specified time and the unified rule is complied with is achieved, and the working diversity and the real-time accuracy of the terminal of the Internet of things are improved.

Description

Multi-device intelligent timing delay scene setting method and system based on Internet of things
Technical Field
The application relates to the technical field of Internet of things, in particular to a multi-device intelligent timing delay scene setting method and system based on the Internet of things.
Background
The existing internet of things devices are independent from each other, and although some devices have the functions of timing and triggering actions, a series of related actions of a plurality of devices cannot be triggered at a certain time and follow the same rule, which causes the problem that:
1. the equipment clock of each internet of things terminal is inaccurate, so that accurate time is difficult to obtain, and the timing linkage between the internet of things terminals is poor;
2. the terminals of the internet of things are independent from each other and are not connected with each other, and the inaccuracy of the time of each terminal causes that a scene giving a specific rule cannot be formed cooperatively.
Disclosure of Invention
It is an object of the present application to overcome the above problems or to at least partially solve or mitigate the above problems.
According to one aspect of the application, a multi-device intelligent timing delay scene setting method based on the Internet of things is provided, and comprises the following steps:
the Internet of things terminal and the cloud server form network connection;
setting timing and timing rules in the cloud server, and setting corresponding scene rules corresponding to each timing rule;
when the conditions of the timing rules are met, the timing service is started and sends triggering information to the cloud server, the cloud server triggers and starts the scene service, the scene service triggers the corresponding scene rules under the timing rules, the states of the plurality of internet of things terminals related under the scene rules are checked, and action adjustment is carried out on the specified internet of things terminals according to the states of the plurality of internet of things terminals and in combination with the scene rules.
Preferably, the timing rule and the corresponding scene rule are set by a user through configuration of a rule base in a cloud server, the timing rule and the scene rule inquire the corresponding triggering rule from the rule base in a rule inquiry mode, and then a corresponding triggering instruction is sent to the corresponding internet of things terminal.
Preferably, the data structure of the timing rule is a binary tree structure with two keys, the timing service identifies the query rule according to the rule in the binary tree structure, or searches and finds the rule to be triggered recently from the top end in the binary tree structure, and sends the scene identification to the scene service after finding the rule to be triggered.
Preferably, the scenario service queries the corresponding scenario rule from the rule base according to the scenario identifier sent back from the timing service, and further performs an action specified in the scenario rule on the plurality of terminals of the internet of things involved.
Preferably, when the scene rule triggers the terminal of the internet of things to act, the method includes:
determining a scene identifier sent by the timing service, screening and finding a plurality of internet of things terminals involved in the scene identifier, and checking real-time states of the internet of things terminals;
and performing action execution, namely performing action triggering on the appointed Internet of things terminal according to the checked real-time states of the plurality of Internet of things terminals and the current scene rule, and judging whether to start another scene service.
According to another aspect of the application, still provide a multi-device intelligence timing delay scene setting system based on thing networking, constitute network connection between thing networking terminal and high in the clouds server, the system includes:
the time setting module is configured to set timing and timing rules in the cloud server and set corresponding scene rules corresponding to each timing rule;
the scene service triggering module is configured to start the timing service and send triggering information to the cloud server when the conditions of the timing rule are met, the cloud server triggers and starts the scene service, the scene service triggers the scene rule corresponding to the timing rule, the states of the internet of things terminals related to the scene rule are checked, and action adjustment is carried out on the specified internet of things terminals according to the states of the internet of things terminals and by combining the scene rule.
Preferably, the timing rule and the corresponding scene rule are set by a user through configuration of a rule base in a cloud server, the timing rule and the scene rule inquire the corresponding triggering rule from the rule base in a rule inquiry mode, and then a corresponding triggering instruction is sent to the corresponding internet of things terminal.
Preferably, in the time setting module, the data structure of the timing rule is a binary tree structure with two keys, the timing service identifies the query rule according to the rule in the binary tree structure, or searches and finds the rule to be triggered recently from the top end in the binary tree structure, and sends the scene identification to the scene service after finding the rule to be triggered.
Preferably, in the scenario service triggering module, the scenario service queries a corresponding scenario rule from the rule base according to a scenario identifier sent back from the timing service, and further performs an action specified in the scenario rule on the plurality of terminals of the internet of things involved.
Preferably, when the scene rule triggers the terminal of the internet of things to act, the method includes:
determining a scene identifier sent by the timing service, screening and finding a plurality of internet of things terminals involved in the scene identifier, and checking real-time states of the internet of things terminals;
and performing action execution, namely performing action triggering on the appointed Internet of things terminal according to the checked real-time states of the plurality of Internet of things terminals and the current scene rule, and judging whether to start another scene service.
According to yet another aspect of the application, there is provided a computing device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements the method as described above when executing the computer program.
According to yet another aspect of the application, a computer-readable storage medium, preferably a non-volatile readable storage medium, is provided, having stored therein a computer program which, when executed by a processor, implements a method as described above.
According to yet another aspect of the application, there is provided a computer program product comprising computer readable code which, when executed by a computer device, causes the computer device to perform the method described above.
According to the method and the system for setting the multi-device intelligent timing delay scene based on the Internet of things, the action and action rule of each Internet of things terminal, namely the scene, are configured on the cloud server. Furthermore, the method and the device realize that the terminal of the internet of things is started at the set time to perform the configured action, and the rule corresponding to the scene service is started under the rule of the timing service, so that the aims of jointly triggering a group of related actions by multiple devices at the set time and complying with the unified rule are fulfilled, and the working diversity and the real-time accuracy of the terminal of the internet of things are improved.
The above and other objects, advantages and features of the present application will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a flow chart of setting a scenario of intelligent timing delay of multiple devices based on internet of things according to another embodiment of the present application;
fig. 2 is a schematic structural diagram of a multi-device intelligent timing delay scene setting system based on the internet of things according to an embodiment of the present application;
FIG. 3 is a block diagram of a computing device according to another embodiment of the present application;
fig. 4 is a diagram of a computer-readable storage medium structure according to another embodiment of the present application.
Detailed Description
The embodiment provides a method for setting a multi-device intelligent timing delay scene based on the internet of things, as shown in fig. 1, the method includes:
101: the Internet of things terminal and the cloud server form network connection;
102: setting timing and timing rules in the cloud server, and setting corresponding scene rules corresponding to each timing rule;
103: when the conditions of the timing rules are met, the timing service is started and sends triggering information to the cloud server, the cloud server triggers and starts the scene service, the scene service triggers the corresponding scene rules under the timing rules, the states of the plurality of internet of things terminals related under the scene rules are checked, and action adjustment is carried out on the specified internet of things terminals according to the states of the plurality of internet of things terminals and in combination with the scene rules.
Preferably, the timing rule and the corresponding scene rule are set by a user through configuration of a rule base in a cloud server, the timing rule and the scene rule inquire the corresponding triggering rule from the rule base in a rule inquiry mode, and then a corresponding triggering instruction is sent to the corresponding internet of things terminal.
Preferably, the data structure of the timing rule is a binary tree structure with two keys, the timing service identifies the query rule according to the rule in the binary tree structure, or searches and finds the rule to be triggered recently from the top end in the binary tree structure, and sends the scene identification to the scene service after finding the rule to be triggered.
Preferably, the scenario service queries the corresponding scenario rule from the rule base according to the scenario identifier sent back from the timing service, and further performs an action specified in the scenario rule on the plurality of terminals of the internet of things involved.
Preferably, when the scene rule triggers the terminal of the internet of things to act, the method includes:
determining a scene identifier sent by the timing service, screening and finding a plurality of internet of things terminals involved in the scene identifier, and checking real-time states of the internet of things terminals;
and performing action execution, namely performing action triggering on the appointed Internet of things terminal according to the checked real-time states of the plurality of Internet of things terminals and the current scene rule, and judging whether to start another scene service.
According to another embodiment of the application, a multi-device intelligent timing delay scene setting system based on the internet of things is further provided, a network connection is formed between a terminal of the internet of things and a cloud server, and as shown in fig. 2, the system comprises:
a time setting module 201 configured to set timing and timing rules in the cloud server, and set a corresponding scene rule corresponding to each timing rule;
the scene service triggering module 202 is configured to, when a condition of a timing rule is satisfied, start the timing service and send triggering information to the cloud server, the cloud server triggers and starts the scene service, the scene service triggers a scene rule corresponding to the timing rule, checks states of a plurality of internet of things terminals related to the scene rule, and performs action adjustment on a specified internet of things terminal according to the states of the plurality of internet of things terminals and in combination with the scene rule.
Preferably, the timing rule and the corresponding scene rule are set by a user through configuration of a rule base in a cloud server, the timing rule and the scene rule inquire the corresponding triggering rule from the rule base in a rule inquiry mode, and then a corresponding triggering instruction is sent to the corresponding internet of things terminal.
Preferably, in the time setting module 201, the data structure of the timing rule is a binary tree structure with two keys, the timing service identifies the query rule according to the rule in the binary tree structure, or searches and finds the rule to be triggered recently from the top end in the binary tree structure, and sends the scene identifier to the scene service after finding the rule to be triggered.
Preferably, in the scenario service triggering module 202, the scenario service queries a corresponding scenario rule from the rule base according to a scenario identifier sent back from the timing service, and further performs an action specified in the scenario rule on the plurality of terminals of the internet of things involved.
Specifically, the scene service triggering module 202 includes:
a condition determining unit 301, configured to determine scene identifiers sent by the timing service, and filter and find a plurality of internet of things terminals involved therein, and check real-time statuses of the plurality of internet of things terminals;
an action execution unit 302, configured to perform action triggering on a specified internet of things terminal in combination with a current scene rule according to the checked real-time states of the plurality of internet of things terminals, and determine whether to start another scene service.
According to yet another aspect of the application, there is provided a computing device comprising a memory, a processor and a computer program stored in the memory and executable by the processor, wherein the processor implements the method as described above when executing the computer program.
According to yet another aspect of the application, a computer-readable storage medium, preferably a non-volatile readable storage medium, is provided, having stored therein a computer program which, when executed by a processor, implements a method as described above.
According to yet another aspect of the application, there is provided a computer program product comprising computer readable code which, when executed by a computer device, causes the computer device to perform the method described above.
According to the method and the system for dynamically controlling the total memory amount based on the block memory, the memory is locked for each module according to the empirical value, namely the expected value of a user, through a pre-allocation mechanism for the first time, the allocation size of each module is consistent with the actual size, an upward fitting process does not exist, the using efficiency of the block memory is higher, each module has the minimum allocation guarantee, the memory can be reduced according to the using proportion of the memory of the module after the total memory amount is exhausted, the whole memory utilization rate can be improved, and the frequency of mutually preempting the memory among the modules can be reduced. The invention can dynamically adjust the memory allocation proportion of each module under the limit of the upper limit of the total memory according to the actual operation condition of each software module, thereby improving the total utilization rate of the memory as much as possible and enabling the software to operate more functions as much as possible.
The above and other objects, advantages and features of the present application will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Embodiments also provide a computing device, referring to fig. 3, comprising a memory 1120, a processor 1110 and a computer program stored in said memory 1120 and executable by said processor 1110, the computer program being stored in a space 1130 for program code in the memory 1120, the computer program, when executed by the processor 1110, implementing the method steps 1131 for performing any of the methods according to the invention.
The embodiment of the application also provides a computer readable storage medium. Referring to fig. 4, the computer readable storage medium comprises a storage unit for program code provided with a program 1131' for performing the steps of the method according to the invention, which program is executed by a processor.
The embodiment of the application also provides a computer program product containing instructions. Which, when run on a computer, causes the computer to carry out the steps of the method according to the invention.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed by a computer, cause the computer to perform, in whole or in part, the procedures or functions described in accordance with the embodiments of the application. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, and the program may be stored in a computer-readable storage medium, where the storage medium is a non-transitory medium, such as a random access memory, a read only memory, a flash memory, a hard disk, a solid state disk, a magnetic tape (magnetic tape), a floppy disk (floppy disk), an optical disk (optical disk), and any combination thereof.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A multi-device intelligent timing delay scene setting method based on the Internet of things comprises the following steps:
the Internet of things terminal and the cloud server form network connection;
setting timing and timing rules in the cloud server, and setting corresponding scene rules corresponding to each timing rule;
when the conditions of the timing rules are met, the timing service is started and sends triggering information to the cloud server, the cloud server triggers and starts the scene service, the scene service triggers the corresponding scene rules under the timing rules, the states of the plurality of internet of things terminals related under the scene rules are checked, and action adjustment is carried out on the specified internet of things terminals according to the states of the plurality of internet of things terminals and in combination with the scene rules.
2. The method according to claim 1, wherein the timing rules and the corresponding scenario rules are set by a user through configuration of a rule base in a cloud server, and the timing rules and the scenario rules are queried from the rule base in a rule query manner for corresponding triggered rules, so as to send corresponding trigger instructions to corresponding terminals of the internet of things.
3. The method according to claim 2, wherein the data structure of the timing rule is a binary tree structure with two keys, and the timing service identifies the query rule according to the rule in the binary tree structure, or searches and finds the rule that is to be triggered recently from the top in the binary tree structure, and sends the scene identifier to the scene service after finding the rule that is to be triggered.
4. The method according to claim 3, wherein the scenario service queries corresponding scenario rules from the rule base according to the scenario identifiers sent back from the timing service, and further performs actions specified in the scenario rules for the plurality of terminals of the internet of things involved.
5. The method according to claim 4, wherein the scenario rule when triggering the terminal of the internet of things to act comprises:
determining a scene identifier sent by the timing service, screening and finding a plurality of internet of things terminals involved in the scene identifier, and checking real-time states of the internet of things terminals;
and performing action execution, namely performing action triggering on the appointed Internet of things terminal according to the checked real-time states of the plurality of Internet of things terminals and the current scene rule, and judging whether to start another scene service.
6. The utility model provides a multi-device intelligence is scene setting system that regularly delays based on thing networking constitutes network connection between thing networking terminal and high in the clouds server, and the system includes:
the time setting module is configured to set timing and timing rules in the cloud server and set corresponding scene rules corresponding to each timing rule;
the scene service triggering module is configured to start the timing service and send triggering information to the cloud server when the conditions of the timing rule are met, the cloud server triggers and starts the scene service, the scene service triggers the scene rule corresponding to the timing rule, the states of the internet of things terminals related to the scene rule are checked, and action adjustment is carried out on the specified internet of things terminals according to the states of the internet of things terminals and by combining the scene rule.
7. The system of claim 6, wherein the timing rules and the corresponding scenario rules are set by a user through configuration of a rule base in a cloud server, and the timing rules and the scenario rules are queried from the rule base in a rule query manner for corresponding triggered rules, so as to send corresponding trigger instructions to corresponding terminals of the internet of things.
8. The system according to claim 7, wherein in the time setting module, the data structure of the timing rule is a binary tree structure with two keys, the timing service identifies the query rule according to the rule in the binary tree structure, or searches and finds the rule that is to be triggered recently from the top in the binary tree structure, and sends the scene identifier to the scene service after finding the rule that is to be triggered.
9. The system according to claim 8, wherein in the scenario service triggering module, the scenario service queries a corresponding scenario rule from the rule base according to the scenario identifier sent back from the timing service, and further performs an action specified in the scenario rule on the plurality of terminals of the internet of things involved.
10. The system according to claim 9, wherein the scenario rule when triggering the terminal of the internet of things to act includes:
the condition judging unit is configured to determine scene identification sent by the timing service, screen and find a plurality of internet of things terminals involved in the scene identification, and check real-time states of the plurality of internet of things terminals;
and the action execution unit is configured to perform action triggering on the specified Internet of things terminal according to the detected real-time states of the plurality of Internet of things terminals and the current scene rule, and judge whether to start another scene service.
CN201910914061.1A 2019-09-25 2019-09-25 Multi-device intelligent timing delay scene setting method and system based on Internet of things Pending CN110784336A (en)

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CN111818132A (en) * 2020-06-19 2020-10-23 深圳奇迹智慧网络有限公司 Control method and device of Internet of things equipment, computer equipment and storage medium
CN112578757A (en) * 2020-12-24 2021-03-30 珠海格力电器股份有限公司 Control method and device of intelligent household equipment
CN115314529A (en) * 2022-10-11 2022-11-08 之江实验室 Universal equipment linkage method and system
CN116996546A (en) * 2023-07-06 2023-11-03 九科信息技术(深圳)有限公司 Control method, device and equipment of Internet of things equipment and storage medium

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CN111818132A (en) * 2020-06-19 2020-10-23 深圳奇迹智慧网络有限公司 Control method and device of Internet of things equipment, computer equipment and storage medium
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