CN112954021A - Wake-up adjustment processing method and device based on multi-device data - Google Patents
Wake-up adjustment processing method and device based on multi-device data Download PDFInfo
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Abstract
The embodiment of the invention discloses a wake-up adjustment processing method and a wake-up adjustment processing device based on multi-device data, wherein the method comprises the following steps: when the terminal equipment of the Internet of things generates service data, adding a wake-up period identifier in the service data, and sending the service data added with the wake-up period identifier to a server; the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data; if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group; and the server sets awakening time for the service data in the awakening adjustment time generation group and sends the awakening time to the Internet of things equipment. According to the scheme, efficient data processing is realized, the awakening period is optimized, and meanwhile the power consumption of the Internet of things equipment is reduced.
Description
Technical Field
The embodiment of the application relates to the technical field of Internet of things, in particular to a multi-device data-based wake-up adjustment processing method and device.
Background
With the popularization of the internet of things technology and the powerful functions of intelligent equipment, the internet of things equipment plays an increasingly important role in daily life of people. Various kinds of intelligent physical network terminal devices are applied to various fields. Generally, the internet of things connects articles with the internet through various information sensing devices, so that information exchange can be realized for all common physical objects which can be independently addressed, and the purposes of intelligent identification, positioning, tracking, monitoring and management are finally achieved.
How to reduce the power consumption of the internet of things equipment so as to achieve more stable and long-term operation is a key point of current attention. In the prior art, the terminal device of the internet of things adopts a mode of awakening to receive downlink data periodically, and the device does not monitor a downlink channel in a dormant period, so that the power consumption of the terminal device is reduced.
Disclosure of Invention
The embodiment of the invention provides a wake-up adjustment processing method and device based on multi-device data, which realize high-efficiency data processing and reduce the power consumption of Internet of things equipment.
In a first aspect, an embodiment of the present invention provides a method for adjusting wake-up based on multi-device data, where the method includes:
when the terminal equipment of the Internet of things generates service data, adding a wake-up period identifier in the service data, and sending the service data added with the wake-up period identifier to a server;
the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data;
if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group;
and the server sets awakening time for the service data in the awakening adjustment time generation group, and sends the awakening time to the Internet of things equipment, so that the Internet of things equipment awakens the server for data communication transmission in the awakening time.
Optionally, when the terminal device of the internet of things generates service data, adding an awake period identifier in the service data includes:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
correspondingly, before determining whether the calling interface for sending the service data defines the user-defined wake-up time or determining whether the calling interface is the recorded user-defined time process according to the system process for initiating the service data, the method further includes:
the method comprises the steps that the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period mark is added or not is determined according to a statistical analysis result, if yes, the awakening period mark is added to the service data, wherein the feedback type of all the service data is counted, if the feedback type is a feedback type, the time delay time of the feedback type service data is determined, and the condition that the time delay time meets the mark adding condition is judged.
Optionally, if the server determines that the service data contains the wakeup cycle identifier, storing the service data in a wakeup adjustment time generation group, where the method includes:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier.
Optionally, the server sets a wakeup time for the service data in the wakeup adjust time generation group, and sends the wakeup time to the internet of things device, where the method includes:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
In a second aspect, an embodiment of the present invention further provides a wake-up adjustment processing apparatus based on multi-device data, including:
the identification adding module is used for adding a wakeup period identification in the service data when the terminal equipment of the Internet of things generates the service data and sending the service data added with the wakeup period identification to the server;
the identification detection module is used for receiving the service data sent by the plurality of terminals of the Internet of things by the server and determining whether the service data has the awakening period identification or not;
the data storage module is used for storing the service data to a wake-up regulation time generation group if the server determines that the service data contains the wake-up period identifier;
and the awakening time setting module is used for setting awakening time for the service data in the awakening adjustment time generation group by the server, sending the awakening time to the Internet of things equipment, and awakening the Internet of things equipment in the awakening time to transmit data communication to the server.
Optionally, the identifier adding module is specifically configured to:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
the identity adding module is further configured to: before determining whether a calling interface for sending the service data defines a custom wakeup time or determining whether the calling interface for sending the service data corresponds to a recorded custom time process according to a system process for initiating the service data, the internet of things terminal equipment performs statistical analysis on all service data sent by the internet of things terminal equipment, determines whether a wakeup period identifier is added according to a statistical analysis result, and if so, adds the wakeup period identifier to the service data, wherein the feedback type of all service data is counted, and if the feedback type is a feedback type, the delay time of the feedback type service data is determined, and the delay time is judged to meet an identifier adding condition.
Optionally, the data storage module is specifically configured to:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier.
Optionally, the wake-up time setting module is specifically configured to:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
In a third aspect, an embodiment of the present invention further provides a device for adjusting wake-up based on multi-device data, where the device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the wake-up adjustment processing method based on multi-device data according to the embodiment of the present invention.
In a fourth aspect, the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the wake-up adjustment processing method based on multi-device data according to the present invention.
In the embodiment of the invention, when the terminal equipment of the Internet of things generates service data, the terminal equipment of the Internet of things adds the awakening period identifier in the service data, and sends the service data added with the awakening period identifier to a server; the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data; if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group; and the server sets awakening time for the service data in the awakening adjustment time generation group and sends the awakening time to the Internet of things equipment. According to the scheme, efficient data processing is realized, the awakening period is optimized, and meanwhile the power consumption of the Internet of things equipment is reduced.
Drawings
Fig. 1 is a flowchart of a wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention;
fig. 2 is a flowchart of another wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention;
fig. 3 is a flowchart of another wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention;
fig. 4 is a flowchart of another wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention;
fig. 5 is a block diagram of a wake-up adjustment processing apparatus based on multi-device data according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad invention. It should be further noted that, for convenience of description, only some structures, not all structures, relating to the embodiments of the present invention are shown in the drawings.
Fig. 1 is a flowchart of a wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention, which is suitable for processing wake-up time of device data of the internet of things. The scheme of one embodiment of the application specifically comprises the following steps:
step S101, when the terminal equipment of the Internet of things generates service data, adding a wake-up period identifier in the service data, and sending the service data added with the wake-up period identifier to a server.
In one embodiment, the terminal device of the internet of things generates service data which is communicated with the server in a transmission mode so as to realize the function of the internet of things. For the generated service data, the response time of the service data can be adjusted by adding the wake-up period identifier, so that the reasonable wake-up time is determined, and the low-power consumption processing is ensured. Optionally, when the terminal device of the internet of things generates service data, it is determined whether the service data needs to be added with a wakeup cycle identifier, if so, the wakeup cycle identifier is added to the service data, and the service data added with the wakeup cycle identifier is sent to the server.
Step S102, the server receives service data sent by a plurality of terminals of the Internet of things, and determines whether the service data has a wake-up period identifier.
The server can receive and process the service data sent by the terminals of the Internet of things, and during processing, whether the service data has the awakening period identification is determined.
Step S103, if the server determines that the service data contains the awakening period identifier, the service data is stored in an awakening adjustment time generation group.
In one embodiment, for traffic data for which there is a wake-up period identification, the traffic data is stored to the wake-up adjustment time generation group. And the service data in the wake-up regulation time generation group is service data which is distributed and regulated in a wake-up period.
And step S104, the server sets awakening time for the service data in the awakening adjustment time generation group, and sends the awakening time to the Internet of things equipment, so that the Internet of things equipment is awakened in the awakening time to carry out data communication transmission on the server.
In one embodiment, the server sets a wakeup time for service data in the wakeup adjust time generation group, and sends the wakeup time to the internet of things device, so that the internet of things device wakes up the server for data communication transmission within the wakeup time. The scheme realizes dynamic adjustment of the awakening time and improves the corresponding flexibility of data transmission of the Internet of things system. Specifically, a time segment may be allocated for each wake-up adjustment time generation group, and each time segment constitutes a continuous and non-overlapping time interval; and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
Therefore, when the terminal equipment of the internet of things generates service data, adding a wakeup period identifier in the service data, and sending the service data added with the wakeup period identifier to a server; the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data; if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group; and the server sets awakening time for the service data in the awakening adjustment time generation group and sends the awakening time to the Internet of things equipment. According to the scheme, efficient data processing is realized, the awakening period is optimized, and meanwhile the power consumption of the Internet of things equipment is reduced.
Fig. 2 is a flowchart of another wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention. On the basis of the technical scheme, when the terminal device of the internet of things generates service data, adding an awakening period identifier in the service data comprises:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
correspondingly, before determining whether the calling interface for sending the service data defines the user-defined wake-up time or determining whether the calling interface is the recorded user-defined time process according to the system process for initiating the service data, the method further includes:
the method comprises the steps that the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period mark is added or not is determined according to a statistical analysis result, if yes, the awakening period mark is added to the service data, wherein the feedback type of all the service data is counted, if the feedback type is a feedback type, the time delay time of the feedback type service data is determined, and the condition that the time delay time meets the mark adding condition is judged. The method specifically comprises the following steps:
step S201, the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period mark is added or not is determined according to the statistical analysis result, if yes, the awakening period mark is added to the service data, wherein the awakening period mark comprises feedback types of all the service data, if the feedback types are feedback types, the time delay time of the feedback type service data is determined, and the time delay time is judged to meet mark adding conditions.
In one embodiment, a process of generating an add wake cycle identification is defined. And the terminal equipment of the Internet of things performs statistical analysis on all service data sent by the terminal equipment of the Internet of things, and determines whether to add the awakening period identification or not according to the statistical analysis result. Counting the feedback types of all the service data, if the feedback type is the feedback type, determining the time delay time of the feedback type service data, and judging that the time delay time meets the identifier adding condition. The service data which needs to receive the feedback information is defined as a feedback type, and the service data which only reports the sending data to the server is defined as a non-feedback type. For feedback data, a delay time is set for different response time requirements of different service data, and the delay time represents the time of latest receiving response data. In one embodiment, it is determined whether the delay time meets an identifier adding condition, and if so, an awake period identifier is added to the service data. For example, if the delay time is less than 2 hours, it is determined that the delay time meets the identifier adding condition, and adds the wakeup period identifier to the service data.
Step S202, determining whether a calling interface for sending the service data defines a custom wakeup time, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data, if so, adding a wakeup period identifier in the service data, and sending the service data added with the wakeup period identifier to a server.
Specifically, when the terminal device of the internet of things generates service data, it is determined whether a calling interface for sending the service data defines a custom wake-up time, that is, a calling interface for the custom wake-up time is defined for the service data for which the wake-up time control is required in a development stage for an application program, and when the service data is generated, if it is determined that the calling interface for sending the service data defines the custom wake-up time, a wake-up period identifier is correspondingly added to the service data. In another embodiment, the determination of whether to be a recorded custom time course is based on the system process that initiated the business data. And for each created process, when the process is created, if the process needs to be subjected to wakeup period distribution, recording the process as a custom time process.
Step S203, the server receives service data sent by a plurality of internet of things terminals, and determines whether a wakeup period identifier exists in the service data.
Step S204, if the server determines that the service data contains the awakening period identification, the service data is stored in an awakening adjustment time generation group.
Step S205, the server sets a wakeup time for the service data in the wakeup adjustment time generation group, and sends the wakeup time to the internet of things device, so that the internet of things device wakes up the server for data communication transmission within the wakeup time.
As can be seen from the above, the terminal device of the internet of things performs statistical analysis on all service data sent by itself, determines whether to add an awake cycle identifier according to the statistical analysis result, and if so, adds the awake cycle identifier to the service data, wherein the method includes counting feedback types of all service data, if the feedback type is a feedback type, determining a delay time of the feedback type service data, determining that the delay time satisfies an identifier adding condition, and determining whether a calling interface sending the service data defines a self-defined awake time, or determining whether to sum the calling interface sending the service data as a recorded self-defined time process according to a system process initiating the service data, if so, adding the awake cycle identifier to the service data, sending the service data added with the awake cycle identifier to a server, thereby implementing efficient data processing, the awakening period is optimized, and meanwhile, the power consumption of the Internet of things equipment is reduced.
Fig. 3 is a flowchart of another wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention. On the basis of the above technical solution, if the server determines that the service data contains an awake period identifier, storing the service data in an awake adjustment time generation group includes:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier. The method specifically comprises the following steps:
step S301, the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period identifier is added or not is determined according to the statistical analysis result, if yes, the awakening period identifier is added to the service data, wherein the awakening period identifier comprises feedback types of all the service data, if the feedback types are feedback types, the time delay time of the feedback type service data is determined, and the time delay time is judged to meet the identifier adding condition.
Step S302, determining whether a calling interface for sending the service data defines a custom wakeup time, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data, if so, adding a wakeup period identifier in the service data, and sending the service data added with the wakeup period identifier to a server.
Step S303, the server receives service data sent by a plurality of internet of things terminals, and determines whether a wakeup period identifier exists in the service data.
Step S304, if the server determines that the service data contains the awakening period identification, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identification.
In one embodiment, the information content of the wake-up period identifier may be a type of the service data, and may also be a required response delay of the service data. And adding the service data corresponding to the awakening period identifier into a corresponding awakening regulation time generation group according to the grouping of the data types aiming at the condition of the types of the service data. And adding the condition of the required response delay of the service data to the wake-up regulation time generation group with the same required delay level.
Step S305, the server sets a wakeup time for the service data in the wakeup adjustment time generation group, and sends the wakeup time to the internet of things device, so that the internet of things device wakes up the server for data communication transmission in the wakeup time.
In one embodiment, for the case of the delay grouping, the time interval of the service data in each group is clustered, and the corresponding wake-up time is set for the group according to the clustering result.
In another embodiment, the data types include data query type, data update type, and data instruction processing type. And setting non-overlapping awakening time intervals for each group so as to send data to the Internet of things terminal equipment for processing at the awakening time, wherein the Internet of things terminal equipment processes the same type of feedback data in a centralized manner at the awakening time.
According to the method, if the server determines that the service data contain the awakening period identifier, the service data are distributed to the corresponding awakening adjustment time generation group according to the information content of the awakening period identifier, the server sets the awakening time for the service data in the awakening adjustment time generation group, and the awakening time is sent to the Internet of things equipment, so that the Internet of things equipment is awakened in the awakening time to perform data communication transmission on the server, efficient data processing is achieved, the awakening period is optimized, and meanwhile the power consumption of the Internet of things equipment is reduced.
Fig. 4 is a flowchart of another wake-up adjustment processing method based on multi-device data according to an embodiment of the present invention. On the basis of the above technical solution, the server sets wakeup time for the service data in the wakeup adjust time generation group, and sends the wakeup time to the internet of things device, including:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data. The method specifically comprises the following steps:
step S401, the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period mark is added or not is determined according to the statistical analysis result, if yes, the awakening period mark is added to the service data, wherein the awakening period mark comprises feedback types of all the service data, if the feedback types are feedback types, the time delay time of the feedback type service data is determined, and the time delay time is judged to meet mark adding conditions.
Step S402, determining whether a calling interface for sending the service data defines a custom wake-up time, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data, if so, adding a wake-up period identifier in the service data, and sending the service data added with the wake-up period identifier to a server.
Step S403, the server receives service data sent by multiple internet of things terminals, and determines whether a wakeup period identifier exists in the service data.
Step S404, if the server determines that the service data contains the awakening period identification, the service data is distributed to a corresponding awakening adjustment time generation group according to the information content of the awakening period identification.
Step S405, allocating time sections for each wakeup adjust time generation group, wherein each time section forms a continuous and non-overlapping time interval, determining the number of service data in each wakeup adjust time generation group, and allocating different wakeup times for each service data according to the corresponding time sections and the number of the service data.
In one embodiment, where the groups are divided by traffic data type for wake adjust time generation, each time segment constitutes a contiguous and non-overlapping time interval. Further, the number of the service data in each wake-up adjustment time generation group is determined, and different wake-up times are allocated to each service data according to the corresponding time zone and the number of the service data. Specifically, different wake-up times are subdivided for different service data in a packet, and for example, sorting may be performed according to the size of the service data volume, allocating a first time interval to the service data 30% before the sorting of the service data volume, and allocating a second time interval to the service data 70% after the sorting of the service data volume, where a time interval span of the first time interval is greater than the second time interval, and a sum of the first time interval and the second time interval is smaller than a non-overlapping time interval allocated previously.
According to the method, the time sections are allocated to each wakeup adjustment time generation group, each time section forms a continuous and non-overlapping time interval, the number of the service data in each wakeup adjustment time generation group is determined, and different wakeup times are allocated to each service data according to the corresponding time sections and the number of the service data, so that efficient data processing is realized, the wakeup period is optimized, and the power consumption of the internet of things equipment is reduced.
Fig. 5 is a block diagram of a wake-up adjustment processing apparatus based on multi-device data according to an embodiment of the present invention, where the apparatus is configured to execute a wake-up adjustment processing method based on multi-device data according to the embodiment of the data receiving end, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 5, the apparatus specifically includes: an identity adding module 101, an identity detecting module 102, a data storage module 103, and a wake-up time setting module 104, wherein,
the identifier adding module 101 is used for adding a wakeup period identifier in service data when the terminal equipment of the internet of things generates the service data, and sending the service data added with the wakeup period identifier to a server;
the identifier detection module 102 is configured to receive service data sent by multiple internet of things terminals by the server, and determine whether a wakeup period identifier exists in the service data;
a data storage module 103, configured to store the service data in a wakeup adjustment time generation group if the server determines that the service data contains a wakeup period identifier;
and the wakeup time setting module 104 is configured to set a wakeup time for the service data in the wakeup adjustment time generation group by the server, send the wakeup time to the internet of things device, and be used for the internet of things device to wake up in the wakeup time to perform data communication transmission on the server.
According to the scheme, when the terminal equipment of the Internet of things generates the service data, the awakening period identifier is added into the service data, and the service data added with the awakening period identifier is sent to the server; the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data; if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group; and the server sets awakening time for the service data in the awakening adjustment time generation group and sends the awakening time to the Internet of things equipment. According to the scheme, efficient data processing is realized, the awakening period is optimized, and meanwhile the power consumption of the Internet of things equipment is reduced.
In a possible embodiment, the identifier adding module is specifically configured to:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
the identity adding module is further configured to: before determining whether a calling interface for sending the service data defines a custom wakeup time or determining whether the calling interface for sending the service data corresponds to a recorded custom time process according to a system process for initiating the service data, the internet of things terminal equipment performs statistical analysis on all service data sent by the internet of things terminal equipment, determines whether a wakeup period identifier is added according to a statistical analysis result, and if so, adds the wakeup period identifier to the service data, wherein the feedback type of all service data is counted, and if the feedback type is a feedback type, the delay time of the feedback type service data is determined, and the delay time is judged to meet an identifier adding condition.
In a possible embodiment, the data storage module is specifically configured to:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier.
In a possible embodiment, the wake-up time setting module is specifically configured to:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
Fig. 6 is a schematic structural diagram of a wake-up adjustment processing apparatus based on multi-device data according to an embodiment of the present invention, as shown in fig. 6, the apparatus includes a processor 201, a memory 202, an input device 203, and an output device 204; the number of the processors 201 in the device may be one or more, and one processor 201 is taken as an example in fig. 6; the processor 201, the memory 202, the input device 203 and the output device 204 in the apparatus may be connected by a bus or other means, for example in fig. 6. The memory 202 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the wake-up adjustment processing method based on multi-device data in the embodiment of the present invention. The processor 201 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the memory 202, that is, the wake-up adjustment processing method based on multi-device data described above is implemented. The input device 203 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function controls of the apparatus. The output device 204 may include a display device such as a display screen.
Embodiments of the present invention also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for wake-up adjustment processing based on multi-device data, the method including:
when the terminal equipment of the Internet of things generates service data, adding a wake-up period identifier in the service data, and sending the service data added with the wake-up period identifier to a server;
the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data;
if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group;
and the server sets awakening time for the service data in the awakening adjustment time generation group, and sends the awakening time to the Internet of things equipment, so that the Internet of things equipment awakens the server for data communication transmission in the awakening time.
In one possible embodiment, when the terminal device of the internet of things generates service data, adding a wakeup period identifier in the service data includes:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
correspondingly, before determining whether the calling interface for sending the service data defines the user-defined wake-up time or determining whether the calling interface is the recorded user-defined time process according to the system process for initiating the service data, the method further includes:
the method comprises the steps that the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period mark is added or not is determined according to a statistical analysis result, if yes, the awakening period mark is added to the service data, wherein the feedback type of all the service data is counted, if the feedback type is a feedback type, the time delay time of the feedback type service data is determined, and the condition that the time delay time meets the mark adding condition is judged.
In a possible embodiment, if the server determines that the service data contains the wakeup period identifier, storing the service data in the wakeup adjust time generation group includes:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier.
In a possible embodiment, the server sets a wakeup time for the service data in the wakeup adjust time generation group, and sends the wakeup time to the internet of things device, including:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
From the above description of the embodiments, it is obvious for those skilled in the art that the embodiments of the present invention can be implemented by software and necessary general hardware, and certainly can be implemented by hardware, but the former is a better implementation in many cases. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions to make a computer device (which may be a personal computer, a service, or a network device) perform the methods described in the embodiments of the present invention.
It should be noted that, in the embodiment of the wake-up adjustment processing apparatus based on multi-device data, the included units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
It should be noted that the foregoing is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will appreciate that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A wake-up adjustment processing method based on multi-device data is characterized by comprising the following steps:
when the terminal equipment of the Internet of things generates service data, adding a wake-up period identifier in the service data, and sending the service data added with the wake-up period identifier to a server;
the server receives service data sent by a plurality of terminals of the Internet of things and determines whether a wake-up period identifier exists in the service data;
if the server determines that the service data contains the awakening period identifier, storing the service data to an awakening adjustment time generation group;
and the server sets awakening time for the service data in the awakening adjustment time generation group, and sends the awakening time to the Internet of things equipment, so that the Internet of things equipment awakens the server for data communication transmission in the awakening time.
2. The multi-device data-based wake-up adjustment processing method according to claim 1, wherein when the terminal device of the internet of things generates the service data, adding the wake-up period identifier to the service data comprises:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
correspondingly, before determining whether the calling interface for sending the service data defines the user-defined wake-up time or determining whether the calling interface is the recorded user-defined time process according to the system process for initiating the service data, the method further includes:
the method comprises the steps that the terminal equipment of the Internet of things carries out statistical analysis on all service data sent by the terminal equipment of the Internet of things, whether an awakening period mark is added or not is determined according to a statistical analysis result, if yes, the awakening period mark is added to the service data, wherein the feedback type of all the service data is counted, if the feedback type is a feedback type, the time delay time of the feedback type service data is determined, and the condition that the time delay time meets the mark adding condition is judged.
3. The method of claim 1, wherein if the server determines that the service data contains the wakeup cycle identifier, storing the service data in a wakeup adjust time generation group comprises:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier.
4. The multi-device data-based wakeup adjustment processing method according to any one of claims 1 to 3, wherein the server sets a wakeup time for the service data in the wakeup adjustment time generation group, and sends the wakeup time to the Internet of things device, and the method includes:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
5. Wake-up adjustment processing apparatus based on multi-device data, comprising:
the identification adding module is used for adding a wakeup period identification in the service data when the terminal equipment of the Internet of things generates the service data and sending the service data added with the wakeup period identification to the server;
the identification detection module is used for receiving the service data sent by the plurality of terminals of the Internet of things by the server and determining whether the service data has the awakening period identification or not;
the data storage module is used for storing the service data to a wake-up regulation time generation group if the server determines that the service data contains the wake-up period identifier;
and the awakening time setting module is used for setting awakening time for the service data in the awakening adjustment time generation group by the server, sending the awakening time to the Internet of things equipment, and awakening the Internet of things equipment in the awakening time to transmit data communication to the server.
6. The multi-device data based wake-up adjustment processing apparatus according to claim 5, wherein the identifier adding module is specifically configured to:
determining whether a calling interface for sending the service data defines a custom wakeup time or not, or determining whether the calling interface is a recorded custom time process according to a system process for initiating the service data;
if yes, adding a wake-up period identifier in the service data;
the identity adding module is further configured to: before determining whether a calling interface for sending the service data defines a custom wakeup time or determining whether the calling interface for sending the service data corresponds to a recorded custom time process according to a system process for initiating the service data, the internet of things terminal equipment performs statistical analysis on all service data sent by the internet of things terminal equipment, determines whether a wakeup period identifier is added according to a statistical analysis result, and if so, adds the wakeup period identifier to the service data, wherein the feedback type of all service data is counted, and if the feedback type is a feedback type, the delay time of the feedback type service data is determined, and the delay time is judged to meet an identifier adding condition.
7. The multi-device data-based wake-up adjustment processing apparatus according to claim 5, wherein the data storage module is specifically configured to:
and if the server determines that the service data contains the awakening period identifier, distributing the service data to a corresponding awakening adjustment time generation group according to the information content of the awakening period identifier.
8. The multi-device data based wake-up adjustment processing apparatus according to any one of claims 5 to 7, wherein the wake-up time setting module is specifically configured to:
allocating time segments for each of the wake-up adjustment time generation groups, each time segment constituting a continuous and non-overlapping time interval;
and determining the quantity of the service data in each wake-up regulation time generation group, and allocating different wake-up times to each service data according to the corresponding time section and the quantity of the service data.
9. A wake-up adjustment processing device based on multi-device data, the device comprising: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the multi-device data based wake-up adjustment processing method as claimed in any one of claims 1 to 4.
10. A storage medium containing computer executable instructions for performing the multi-device data based wake up adjustment processing method of any one of claims 1-4 when executed by a computer processor.
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