CN116795196B - Implementation method for reinforcing ultra-long standby of handheld tablet computer - Google Patents
Implementation method for reinforcing ultra-long standby of handheld tablet computer Download PDFInfo
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Abstract
The invention provides a method for realizing ultra-long standby of a reinforced handheld tablet computer, which comprises the following steps: collecting current operation data of a target computer, dividing the operation data according to preset time dividing points, and determining a sub operation data set corresponding to each time interval; performing first analysis on each sub-operation data set to determine sub-operation states of the target computer in each time interval, and determining similarity of sub-operation states corresponding to every two adjacent time intervals; when the similarity of the sub-running states corresponding to every two adjacent time intervals reaches a set threshold value, collecting a target data segment in the running data, and performing second analysis on the target data segment to judge whether the target computer is in a dormant state or not; and when the target computer is in the dormant state, recording the dormant time of the target computer, and controlling the target computer to start the deep dormant state when the dormant time of the target computer reaches a preset time length. The power consumption of the target computer can be effectively reduced, so that the service time of the battery is greatly prolonged.
Description
Technical Field
The invention relates to the technical field of computer data processing, in particular to a method for realizing ultra-long standby of a reinforced handheld tablet computer.
Background
At present, along with the continuous development of scientific technology, electronic communication tools are also continuously developed, so that the application of people to tablet computers is more and more widespread, and when the tablet computers are used, the high-speed consumption of electric quantity becomes a main factor for reducing the experience of users in using the tablet computers, and meanwhile, when the tablet computers are not used, the battery electric quantity of the tablet computers is subjected to ineffective power consumption, so that the energy conservation is not facilitated;
in the prior art, when the handheld tablet computer is operated by no person, the handheld tablet computer enters a dormant state, when trigger conditions exist, such as clicking a screen and a key, the handheld tablet computer enters a working state again, certain current consumption is caused due to dormancy, the battery electric quantity is reduced, meanwhile, the operation data of the handheld tablet computer cannot be processed and analyzed in time in the prior art, so that the operation state of the handheld tablet computer cannot be monitored in real time, and the standby control effect of the handheld tablet computer is poor;
therefore, the invention provides a method for realizing the ultra-long standby of the reinforced handheld tablet computer.
Disclosure of Invention
The invention provides a method for realizing ultra-long standby of a reinforced handheld tablet computer, which is used for determining sub-operation data sets corresponding to each time interval by collecting current operation data of the target computer and further equally dividing the target computer according to preset time division points, analyzing the sub-operation data sets to determine the sub-operation state corresponding to each time interval, determining that the current operation state of the target computer is a stable operation state when determining that each two adjacent sub-operation states reach a set threshold value, collecting target data segments of the operation data, judging whether the target computer is in a dormant state or not, starting the deep sleep state of the target computer when the target computer is in the dormant state and reaches a preset time length, and effectively realizing accurate determination of the current operation state of the target computer.
The invention provides a method for realizing ultra-long standby of a reinforced handheld tablet computer, which comprises the following steps:
step 1: collecting current operation data of a target computer, dividing the operation data according to preset time dividing points, and determining a sub operation data set corresponding to each time interval;
step 2: performing first analysis on each sub-operation data set, determining the sub-operation state of the target computer in each time interval based on a first analysis result, comparing the sub-operation states corresponding to every two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to every two adjacent time intervals;
step 3: when the similarity of the sub-running states corresponding to every two adjacent time intervals reaches a set threshold value, collecting a target data segment in the running data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state or not based on a second analysis result;
step 4: when the target computer is in a dormant state, the dormant duration of the target computer is recorded, and when the dormant duration of the target computer reaches a preset time length, the target computer is controlled to start a deep dormant state.
Preferably, in step 1, operation data of a target computer is collected, including:
The background operation of the target computer is monitored based on the first monitoring factor to obtain background operation data, the front-end operation of the target computer is monitored based on the second monitoring factor to obtain front-end operation data, and the background operation data and the front-end operation data are integrated to obtain operation data of the target computer.
Preferably, the method for implementing the ultra-long standby of the reinforced handheld tablet computer synthesizes the background operation data and the front end operation data to obtain the operation data of the target computer, includes:
performing first reading on the background operation data, determining first key operation data of the background operation data based on a first reading result, and meanwhile, analyzing the first key operation data to determine first operation characteristics of the background operation data;
performing second reading on the front-end operation data, determining second key operation data of the front-end operation data based on the first reading result, and simultaneously analyzing the second key operation data to determine second operation characteristics of the front-end operation data;
determining whether the first operating characteristic matches the second operating characteristic;
when the first operation feature is matched with the second operation feature, corresponding background operation data and front end operation data are stored;
Otherwise, the corresponding background operation data and front end operation data are removed.
Preferably, in step 1, the operation data is divided according to preset time division points, and a sub operation data set corresponding to each time interval is determined, which includes:
acquiring a preset time division point, and determining a time interval node based on the preset time division point;
the operation data are divided at equal intervals according to a preset time dividing point;
and determining a sub-operation data set based on the segmentation result, storing the sub-operation data to the corresponding time interval nodes, and determining the sub-operation data set corresponding to each time interval.
Preferably, in step 2, a first analysis is performed on each sub-operation data set, a sub-operation state of a target computer in each time interval is determined based on a first analysis result, sub-operation states corresponding to every two adjacent time intervals are compared, and similarity of the sub-operation states corresponding to every two adjacent time intervals is determined, including:
the method comprises the steps of calling an operation template of a target computer, and determining first sample data of the target computer in a working state and second sample data of the target computer in a non-working state according to the operation template of the target computer;
Matching the sub-operation data set with the first sample data and the second sample data respectively, and determining a first sub-operation data set matched with the first sample data in the sub-operation data set and a second sub-operation data set matched with the second sample data in the sub-operation data set;
acquiring a first data volume of a sub-operation data set, and simultaneously determining a second data volume corresponding to the first sub-operation data set and a third data volume corresponding to the second sub-operation data set;
respectively obtaining a first ratio of the second data quantity to the first data quantity and a second ratio of the third data quantity to the first data quantity;
comparing the first ratio with the second ratio, and determining the sub-running state of the target computer in the time interval based on the comparison result;
when the first ratio is smaller than the second ratio, the sub-running state of the target computer in the corresponding time interval is a non-working state, and a first state identifier is output;
when the first ratio is larger than the second ratio, the sub-running state of the target computer in the corresponding time interval is a working state, and a second state identifier is output;
when the first ratio is equal to the second ratio, the sub-running state of the target computer in the corresponding time interval is a working state and a non-working state, and a third state identifier is output, wherein the third state identifier consists of a first state identifier and a second state identifier;
Determining the sub-running state of the target computer in each time interval based on the first state identifier, the second state identifier and the third state identifier;
and comparing the sub-operation states corresponding to every two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to every two adjacent time intervals.
Preferably, the method for implementing the ultra-long standby of the reinforced handheld tablet computer compares the sub-operation states corresponding to every two adjacent time intervals, and determines the similarity of the sub-operation states corresponding to every two adjacent time intervals, including:
reading state identifiers of sub-operation states corresponding to every two adjacent time intervals;
meanwhile, comparing the state identifiers of the sub-operation states corresponding to each two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to each two adjacent time intervals;
when the state identifiers of the sub-operation states corresponding to the two adjacent time intervals are the first state identifier or the second state identifier, the similarity of the sub-operation states corresponding to the two adjacent time intervals is 100%;
when the state identifiers of the sub-operation states corresponding to the two adjacent time intervals are respectively a first state identifier and a second state identifier or a first state identifier and a third state identifier or a second state identifier and a third state identifier, the similarity of the sub-operation states corresponding to the two adjacent time intervals is 0;
When the state identifiers of the sub-running states corresponding to the two adjacent time intervals are the third state identifiers, acquiring time points corresponding to the time intervals, and respectively determining target state identifiers corresponding to each time point in the two adjacent time intervals;
acquiring the target number of the same target state identifiers corresponding to the same time points in two adjacent time intervals;
acquiring the total number of the target state identifiers in the time intervals, wherein the time points in the two adjacent time intervals are in one-to-one correspondence with the target state identifiers, namely the total number of the target state identifiers in the two adjacent time intervals is consistent;
and obtaining a target proportion between the target number and the total number, wherein the target proportion is the similarity of the sub-running states corresponding to the two adjacent time intervals.
Preferably, in step 3, when the similarity of the sub-operation states corresponding to every two adjacent time intervals reaches a set threshold, a target data segment in the operation data is collected, which includes:
acquiring a set threshold value;
comparing the similarity of the sub-operation states corresponding to every two adjacent time intervals with a set threshold value;
when the similarity of the sub-operation states corresponding to every two adjacent time intervals is equal to or greater than a set threshold value, acquiring a target data segment in the operation data;
Otherwise, the target data segment in the operation data is not collected.
Preferably, the method for implementing the ultra-long standby of the reinforced handheld tablet computer further comprises the following steps in step 3:
when the similarity of the sub-operation states corresponding to every two adjacent time intervals reaches a set threshold value, determining the operation state corresponding to the current operation data of the target computer based on the sub-operation states;
the running state of the target computer comprises the following steps: working state, semi-working state and non-working state;
judging whether to collect a target data segment in the operation data based on the operation state of the target computer;
when the running state corresponding to the current running data of the target computer is a working state or a semi-working state, not collecting the target data segment in the running data;
when the running state corresponding to the current running data of the target computer is a non-working state, collecting a target data segment in the running data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state or not based on a second analysis result.
Preferably, the method for implementing ultra-long standby of the reinforced handheld tablet computer includes the steps of collecting a target data segment in operation data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state based on a second analysis result, wherein the method comprises the following steps:
Dividing a sub-operation data set of each time interval into a plurality of operation data segments at equal intervals, wherein each sub-operation data set comprises a first operation data segment, a middle operation data segment and a tail operation data segment;
respectively picking a first operation data segment and a tail operation data segment in each sub operation data set;
synthesizing the head operation data segment and the tail operation data segment corresponding to each sub operation data set to obtain a target data segment of target computer operation data;
the method comprises the steps of calling a data value interval when a target computer is in a dormant state in a preset management database;
comparing the target data segment with a data value interval when the target computer is in a dormant state, and judging whether the target computer is in the dormant state;
when the target data segment is in the target value interval, judging that the target computer is in a dormant state;
otherwise, it is determined that the target computer is not in the sleep state.
Preferably, in step 4, when the target computer is in a sleep state, the sleep time of the target computer is recorded, and when the sleep time of the target computer reaches a preset time length, the target computer is controlled to start a deep sleep state, including:
When the target computer is in a dormant state, starting a duration recording instruction;
acquiring an initial time point when the target computer enters a sleep state, and monitoring the sleep time of the target computer by taking the initial time point as a reference based on a time length recording instruction to acquire the sleep time of the target computer;
comparing the sleep time length of the target computer with a preset time length, and judging whether the target computer needs to start a deep sleep state or not;
when the sleep time of the target computer is smaller than the preset time length, judging that the target computer does not need to start the deep sleep state, and maintaining the current state of the target computer;
when the sleep time length of the target computer is equal to or longer than the preset time length, the target computer is judged to need to start the deep sleep state, and meanwhile, a target control instruction is generated to control the target computer to start the deep sleep state.
Compared with the prior art, the invention has the following beneficial effects:
1. the method comprises the steps of collecting current operation data of a target computer, further equally dividing the target computer according to preset time division points, determining a sub-operation data set corresponding to each time interval, analyzing the sub-operation data set, determining a sub-operation state corresponding to each time interval, determining that the current operation state of the target computer is a stable operation state when determining that each two adjacent sub-operation states reach a set threshold value, meanwhile collecting target data segments of the operation data, determining whether the target computer is in a dormant state or not effectively, starting a deep sleep state of the target computer when the target computer is in the dormant state and reaches a preset time length, and accordingly effectively determining the current operation state of the target computer, effectively reducing power consumption of the target computer when converting the dormant state into the deep sleep state, and greatly prolonging service time of a battery.
2. The sub-operation data sets of each time interval are divided at equal intervals, and the first operation data segment and the last operation data segment in each sub-operation data set are integrated according to the division result, so that the target data segment of the target computer operation data is accurately and effectively obtained, the obtained target data segment is compared with the data value interval in the dormant state, whether the target computer enters the dormant state is accurately and effectively judged, and the target computer is conveniently controlled to carry out corresponding state adjustment according to the judgment result, thereby greatly reducing the power consumption of the target computer and prolonging the standby time of the target computer.
3. The method comprises the steps of monitoring the sleep time of a target computer, comparing the monitored sleep time with the preset time length, accurately and effectively judging whether the target computer needs to start a deep sleep state, and controlling the target computer to start the deep sleep state through a generated target control instruction when the target computer needs to start the deep sleep state, so that the aim of saving energy is fulfilled, and therefore, the target computer is in ultra-long standby state, and the use effect of the target computer is not affected on the premise of ensuring the standby time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a method for implementing ultra-long standby of a reinforced handheld tablet computer according to an embodiment of the present invention;
fig. 2 is a flowchart of step 1 in a method for implementing ultra-long standby of a reinforced handheld tablet computer according to an embodiment of the present invention;
fig. 3 is a flowchart of step 3 in a method for implementing ultra-long standby of a reinforced handheld tablet computer according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Example 1:
the embodiment provides a method for realizing ultra-long standby of a reinforced handheld tablet computer, as shown in fig. 1, comprising the following steps:
step 1: collecting current operation data of a target computer, dividing the operation data according to preset time dividing points, and determining a sub operation data set corresponding to each time interval;
step 2: performing first analysis on each sub-operation data set, determining the sub-operation state of the target computer in each time interval based on a first analysis result, comparing the sub-operation states corresponding to every two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to every two adjacent time intervals;
step 3: when the similarity of the sub-running states corresponding to every two adjacent time intervals reaches a set threshold value, collecting a target data segment in the running data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state or not based on a second analysis result;
step 4: when the target computer is in a dormant state, the dormant duration of the target computer is recorded, and when the dormant duration of the target computer reaches a preset time length, the target computer is controlled to start a deep dormant state.
In this embodiment, the current operation data of the target computer includes: front-end operation data of the target computer and background operation data of the target computer.
In this embodiment, the preset time division points may be set in advance, so as to divide the operation data at equal intervals based on the preset time division points.
In this embodiment, the target computer may be a ruggedized handheld tablet computer.
In this embodiment, the time interval may be a length of two adjacent preset time division points determined according to the preset time division points as the time interval.
In this embodiment, the sub-operation state includes: the target computer includes an operating state, a non-operating state, and a semi-operating state (i.e., the target computer will have both an operating state and a non-operating state in a time interval), where the non-operating state further includes: standby state, sleep state, and deep sleep state.
In this embodiment, the set threshold may be set in advance, and used as a measure of whether the current running state of the computer is stable.
In this embodiment, when the similarity between the sub-operating states corresponding to each two adjacent time intervals reaches the set threshold, it may be indicated that the current operating state of the target computer is in a stable operating stage, so that the effectiveness is provided for analyzing the operating state of the target computer (avoiding the situation that in the prior art, the operating state is directly determined but whether the operating state of the target computer is stable is not considered, so that the obtained operating state is inaccurate and ineffective, and the difficulty of obtaining the operating state of the target computer is increased).
In this embodiment, the preset time length may be set in advance, which is used as a criterion for measuring whether to control the target computer to start the deep sleep state, and when the target computer starts the deep sleep state, more power consumption devices and power management are turned off.
In this embodiment, the target data segment may be a first run data segment and a last run data segment of the sub-run state.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of collecting current operation data of a target computer, further equally dividing the target computer according to preset time division points, determining a sub-operation data set corresponding to each time interval, analyzing the sub-operation data set, determining a sub-operation state corresponding to each time interval, determining that the current operation state of the target computer is a stable operation state when determining that each two adjacent sub-operation states reach a set threshold value, meanwhile collecting target data segments of the operation data, determining whether the target computer is in a dormant state or not effectively, starting a deep sleep state of the target computer when the target computer is in the dormant state and reaches a preset time length, and accordingly effectively determining the current operation state of the target computer, effectively reducing power consumption of the target computer when converting the dormant state into the deep sleep state, and greatly prolonging service time of a battery.
Example 2:
on the basis of embodiment 1, the present embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, in step 1, collecting operation data of a target computer includes:
the background operation of the target computer is monitored based on the first monitoring factor to obtain background operation data, the front-end operation of the target computer is monitored based on the second monitoring factor to obtain front-end operation data, and the background operation data and the front-end operation data are integrated to obtain operation data of the target computer.
The beneficial effects of the technical scheme are as follows: by monitoring the background operation and the front-end operation of the target computer, the effectiveness of acquiring the operation data is improved.
Example 3:
on the basis of embodiment 2, the embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, which synthesizes background operation data and front end operation data to obtain operation data of a target computer, and comprises the following steps:
performing first reading on the background operation data, determining first key operation data of the background operation data based on a first reading result, and meanwhile, analyzing the first key operation data to determine first operation characteristics of the background operation data;
Performing second reading on the front-end operation data, determining second key operation data of the front-end operation data based on the first reading result, and simultaneously analyzing the second key operation data to determine second operation characteristics of the front-end operation data;
determining whether the first operating characteristic matches the second operating characteristic;
when the first operation feature is matched with the second operation feature, corresponding background operation data and front end operation data are stored;
otherwise, the corresponding background operation data and front end operation data are removed.
In this embodiment, the first key operation data may be data characterizing a background operation feature in the background operation data, that is, determine the first operation feature, where the first operation feature may be a response progress of the target computer background to the front-end input data content.
In this embodiment, the second key operation data may be data characterizing the front-end operation feature in the front-end operation data, that is, determine the second operation feature, where the second operation feature may be the data content input by the front-end of the target computer.
The beneficial effects of the technical scheme are as follows: the first operation characteristic is matched with the second operation characteristic, so that the effectiveness and accuracy of operation data acquisition are effectively guaranteed.
Example 4:
on the basis of embodiment 1, this embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, as shown in fig. 2, in step 1, operation data is divided according to preset time division points, and a sub operation data set corresponding to each time interval is determined, including:
step 101: acquiring a preset time division point, and determining a time interval node based on the preset time division point;
step 102: the operation data are divided at equal intervals according to a preset time dividing point;
step 103: and determining a sub-operation data set based on the segmentation result, storing the sub-operation data to the corresponding time interval nodes, and determining the sub-operation data set corresponding to each time interval.
In this embodiment, the time interval node may be a time length formed by every two adjacent preset time division points, and a node for setting data storage according to the time length is referred to as a time interval node.
The beneficial effects of the technical scheme are as follows: the operation data is divided at equal intervals based on the preset time division points, so that the acquisition of the sub operation data set is realized, and the accuracy of sub operation state acquisition is effectively ensured.
Example 5:
On the basis of embodiment 1, the present embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, in step 2, a first analysis is performed on each sub-operation data set, a sub-operation state of a target computer in each time interval is determined based on a first analysis result, sub-operation states corresponding to every two adjacent time intervals are compared, and similarity of sub-operation states corresponding to every two adjacent time intervals is determined, including:
the method comprises the steps of calling an operation template of a target computer, and determining first sample data of the target computer in a working state and second sample data of the target computer in a non-working state according to the operation template of the target computer;
matching the sub-operation data set with the first sample data and the second sample data respectively, and determining a first sub-operation data set matched with the first sample data in the sub-operation data set and a second sub-operation data set matched with the second sample data in the sub-operation data set;
acquiring a first data volume of a sub-operation data set, and simultaneously determining a second data volume corresponding to the first sub-operation data set and a third data volume corresponding to the second sub-operation data set;
Respectively obtaining a first ratio of the second data quantity to the first data quantity and a second ratio of the third data quantity to the first data quantity;
comparing the first ratio with the second ratio, and determining the sub-running state of the target computer in the time interval based on the comparison result;
when the first ratio is smaller than the second ratio, the sub-running state of the target computer in the corresponding time interval is a non-working state, and a first state identifier is output;
when the first ratio is larger than the second ratio, the sub-running state of the target computer in the corresponding time interval is a working state, and a second state identifier is output;
when the first ratio is equal to the second ratio, the sub-running state of the target computer in the corresponding time interval is a working state and a non-working state, and a third state identifier is output, wherein the third state identifier consists of a first state identifier and a second state identifier;
determining the sub-running state of the target computer in each time interval based on the first state identifier, the second state identifier and the third state identifier;
and comparing the sub-operation states corresponding to every two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to every two adjacent time intervals.
In this embodiment, the operation template may be stored in advance, and the operation template includes: sample data (namely first sample data) in a computer working state and sample data (namely second sample data) in a computer non-working state are respectively matched with the sub-working data sets, so that the sub-working data sets are divided, and a first sub-working data set (namely working data of a target computer in the corresponding sub-working data set in the working state) and a second sub-working data set (namely working data of the target computer in the corresponding sub-working data set in the non-working state) are generated.
In this embodiment, the first data amount may be the total data amount included in the sub-operation data set, the second data amount may be the data amount of the first sub-operation data set (i.e., the operation data of the target computer when the corresponding sub-operation data set is in the operating state), and the third data amount may be the data amount of the second sub-operation data set (i.e., the operation data of the target computer when the corresponding sub-operation data set is in the operating state).
In this embodiment, the first state identifier may be an identifier that characterizes when the sub-operating state of the target computer is in an operating state.
In this embodiment, the second state identifier may be an identifier that characterizes when the sub-operating state of the target computer is in the inactive state.
In this embodiment, the third state identifier may be an identifier of the target computer that is in operation when the sub-operating state of the target computer in the time interval includes both the operating state and the non-operating state (i.e., when the target computer is in the semi-operating state), but has no input and no background processing operation process, and simply exists as a state output that generates corresponding energy consumption due to power-on, where the third state identifier is formed by the first state identifier and the second state identifier.
The beneficial effects of the technical scheme are as follows: the sub-operation data sets are distinguished according to the working state and the non-working state, so that the sub-operation data sets are effectively divided into a first sub-operation data set and a second sub-operation data set, and further, the first sub-operation data set and the second sub-operation data set are analyzed and processed to realize the output of the state identification of the sub-operation state of the target computer, so that the sub-operation state of the target computer in each time interval is effectively judged, the effectiveness and the accuracy of the sub-operation state acquisition of the target computer are improved, and the efficiency of the operation state acquisition of the target computer is guaranteed.
Example 6:
on the basis of embodiment 5, the present embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, comparing sub-operation states corresponding to every two adjacent time intervals, determining similarity of the sub-operation states corresponding to every two adjacent time intervals, including:
reading state identifiers of sub-operation states corresponding to every two adjacent time intervals;
meanwhile, comparing the state identifiers of the sub-operation states corresponding to each two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to each two adjacent time intervals;
when the state identifiers of the sub-operation states corresponding to the two adjacent time intervals are the first state identifier or the second state identifier, the similarity of the sub-operation states corresponding to the two adjacent time intervals is 100%;
when the state identifiers of the sub-operation states corresponding to the two adjacent time intervals are respectively a first state identifier and a second state identifier or a first state identifier and a third state identifier or a second state identifier and a third state identifier, the similarity of the sub-operation states corresponding to the two adjacent time intervals is 0;
when the state identifiers of the sub-running states corresponding to the two adjacent time intervals are the third state identifiers, acquiring time points corresponding to the time intervals, and respectively determining target state identifiers corresponding to each time point in the two adjacent time intervals;
Acquiring the target number of the same target state identifiers corresponding to the same time points in two adjacent time intervals;
acquiring the total number of the target state identifiers in the time intervals, wherein the time points in the two adjacent time intervals are in one-to-one correspondence with the target state identifiers, namely the total number of the target state identifiers in the two adjacent time intervals is consistent;
and obtaining a target proportion between the target number and the total number, wherein the target proportion is the similarity of the sub-running states corresponding to the two adjacent time intervals.
In this embodiment, the target ratio may be a ratio of the number of targets corresponding to the same target state identifier at the same time point in two adjacent time intervals to the total number of target state identifiers in the time intervals.
In this embodiment, the time points in the two adjacent time intervals are in one-to-one correspondence with the target state identifiers, that is, the total number of the target state identifiers in the two adjacent time intervals is identical.
The beneficial effects of the technical scheme are as follows: the target proportion of the target number of the same target state identifiers corresponding to the same time points in the adjacent two time intervals corresponding to various different conditions to the total number of the target state identifiers is determined, so that the similarity of the sub-running states corresponding to the adjacent two time intervals is obtained more comprehensively, effectively and accurately.
Example 7:
on the basis of embodiment 1, this embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, as shown in fig. 3, in step 3, when the similarity of the sub-operation states corresponding to every two adjacent time intervals reaches a set threshold, acquiring a target data segment in operation data, including:
step 301: acquiring a set threshold value;
step 302: comparing the similarity of the sub-operation states corresponding to every two adjacent time intervals with a set threshold value;
step 303: when the similarity of the sub-operation states corresponding to every two adjacent time intervals is equal to or greater than a set threshold value, acquiring a target data segment in the operation data;
step 304: otherwise, the target data segment in the operation data is not collected.
In this embodiment, when the similarity of the sub-operation states corresponding to each two adjacent time intervals is equal to or greater than a set threshold, the purpose of collecting the target data segment in the operation data is to ensure the validity of the collected operation data of the target computer, that is, to ensure the data collected when the current operation state of the target computer is stable when the similarity of the sub-operation states corresponding to each two adjacent time intervals is equal to or greater than the set threshold, thereby ensuring the reliability of the operation state analysis of the target computer.
The beneficial effects of the technical scheme are as follows: the similarity of the sub-operation states corresponding to the two adjacent time intervals is compared with the set threshold value, so that the target data segment in the operation data is acquired when the similarity of the sub-operation states corresponding to the two adjacent time intervals is equal to or greater than the set threshold value, the accuracy and the reliability of the analysis of the current operation state of the target computer are ensured, the operation state of the target computer is convenient to adjust, and the standby duration effect of the target computer is improved.
Example 8:
on the basis of embodiment 1, this embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, and step 3 further includes:
when the similarity of the sub-operation states corresponding to every two adjacent time intervals reaches a set threshold value, determining the operation state corresponding to the current operation data of the target computer based on the sub-operation states;
the running state of the target computer comprises the following steps: working state, semi-working state and non-working state;
judging whether to collect a target data segment in the operation data based on the operation state of the target computer;
when the running state corresponding to the current running data of the target computer is a working state or a semi-working state, not collecting the target data segment in the running data;
When the running state corresponding to the current running data of the target computer is a non-working state, collecting a target data segment in the running data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state or not based on a second analysis result.
In this embodiment, the semi-working state is a state in which the target computer is running, but there is no input and no background processing operation process, and only a state in which corresponding energy consumption is generated due to starting up exists simply.
The beneficial effects of the technical scheme are as follows: by distinguishing the running states of the target computers, accurate and effective acquisition of target data segments in running data of the target computers in a non-working state is realized according to distinguishing results, reliable basis is provided for analyzing whether the target computers enter a dormant state, the working states of the target computers are conveniently and timely adjusted according to analysis results, and standby duration effects of the target computers are ensured.
Example 9:
on the basis of embodiment 8, the embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, which collects a target data segment in operation data, performs second analysis on the target data segment, and judges whether the target computer is in a dormant state based on a second analysis result, including:
Dividing a sub-operation data set of each time interval into a plurality of operation data segments at equal intervals, wherein each sub-operation data set comprises a first operation data segment, a middle operation data segment and a tail operation data segment;
respectively picking a first operation data segment and a tail operation data segment in each sub operation data set;
synthesizing the head operation data segment and the tail operation data segment corresponding to each sub operation data set to obtain a target data segment of target computer operation data;
the method comprises the steps of calling a data value interval when a target computer is in a dormant state in a preset management database;
comparing the target data segment with a data value interval when the target computer is in a dormant state, and judging whether the target computer is in the dormant state;
when the target data segment is in the target value interval, judging that the target computer is in a dormant state;
otherwise, it is determined that the target computer is not in the sleep state.
In this embodiment, the sub-operation data set may be operation data of the target computer corresponding to each time interval.
In this embodiment, the operation data segment may be a plurality of data segments obtained by equally dividing the sub operation data set.
In this embodiment, the first operation data segment may be a beginning portion of a plurality of operation data segments obtained by equally dividing the sub operation data set.
In this embodiment, the tail operation data segment may be a tail portion of a plurality of operation data segments obtained by equally dividing a sub operation data set, where each sub operation data set includes a first operation data segment and a tail operation data segment.
In this embodiment, the target data segment may be obtained by integrating the first operation data segment and the last operation data segment in each sub operation data set.
In this embodiment, the preset management database is set in advance, and is used to store the data value intervals corresponding to the target computer in different running states.
In this embodiment, a target data segment in the operation data is collected, where the target data segment is collected by the target computer in a non-working state, where the non-working state of the target computer includes standby (i.e., the computer does not enter a sleep state, and at the same time, there is no working step, i.e., a previous state of entering the sleep state), a sleep state, and a deep sleep state, and by analyzing a value range of the collected target data segment, an accurate and effective determination is made as to whether the target computer enters the sleep state in the non-working state.
The beneficial effects of the technical scheme are as follows: the sub-operation data sets of each time interval are divided at equal intervals, and the first operation data segment and the last operation data segment in each sub-operation data set are integrated according to the division result, so that the target data segment of the target computer operation data is accurately and effectively obtained, the obtained target data segment is compared with the data value interval in the dormant state, whether the target computer enters the dormant state is accurately and effectively judged, and the target computer is conveniently controlled to carry out corresponding state adjustment according to the judgment result, thereby greatly reducing the power consumption of the target computer and prolonging the standby time of the target computer.
Example 10:
on the basis of embodiment 1, the present embodiment provides a method for implementing ultra-long standby of a reinforced handheld tablet computer, in step 4, when a target computer is in a sleep state, a sleep time of the target computer is recorded, and when the sleep time of the target computer reaches a preset time length, the target computer is controlled to start a deep sleep state, including:
when the target computer is in a dormant state, starting a duration recording instruction;
acquiring an initial time point when the target computer enters a sleep state, and monitoring the sleep time of the target computer by taking the initial time point as a reference based on a time length recording instruction to acquire the sleep time of the target computer;
comparing the sleep time length of the target computer with a preset time length, and judging whether the target computer needs to start a deep sleep state or not;
when the sleep time of the target computer is smaller than the preset time length, judging that the target computer does not need to start the deep sleep state, and maintaining the current state of the target computer;
when the sleep time length of the target computer is equal to or longer than the preset time length, the target computer is judged to need to start the deep sleep state, and meanwhile, a target control instruction is generated to control the target computer to start the deep sleep state.
In this embodiment, the duration recording instruction may control the corresponding monitoring device to record the sleep duration of the target computer.
In this embodiment, the monitoring of the sleep time of the target computer based on the start time point may be to use the sleep start time of the target computer as the initial time of the sleep time monitoring, so as to ensure that the sleep time of the target computer is accurately monitored.
In this embodiment, the preset timing length is set in advance, and is used as a basis for measuring whether the target computer needs to start the deep sleep state, and can be adjusted.
In this embodiment, the target control command is used to control the target computer to switch from the sleep state to the deep sleep state.
The beneficial effects of the technical scheme are as follows: the method comprises the steps of monitoring the sleep time of a target computer, comparing the monitored sleep time with the preset time length, accurately and effectively judging whether the target computer needs to start a deep sleep state, and controlling the target computer to start the deep sleep state through a generated target control instruction when the target computer needs to start the deep sleep state, so that the aim of saving energy is fulfilled, and therefore, the target computer is in ultra-long standby state, and the use effect of the target computer is not affected on the premise of ensuring the standby time.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. The method for realizing the ultra-long standby of the reinforced handheld tablet computer is characterized by comprising the following steps of:
step 1: collecting current operation data of a target computer, dividing the operation data according to preset time dividing points, and determining a sub operation data set corresponding to each time interval;
step 2: performing first analysis on each sub-operation data set, determining the sub-operation state of the target computer in each time interval based on a first analysis result, comparing the sub-operation states corresponding to every two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to every two adjacent time intervals;
step 3: when the similarity of the sub-running states corresponding to every two adjacent time intervals reaches a set threshold value, collecting a target data segment in the running data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state or not based on a second analysis result;
Step 4: when the target computer is in a dormant state, recording the dormant duration of the target computer, and when the dormant duration of the target computer reaches a preset time length, controlling the target computer to start a deep dormant state;
in step 3, further comprising:
when the similarity of the sub-operation states corresponding to every two adjacent time intervals reaches a set threshold value, determining the operation state corresponding to the current operation data of the target computer based on the sub-operation states;
the running state of the target computer comprises the following steps: working state, semi-working state and non-working state;
judging whether to collect a target data segment in the operation data based on the operation state of the target computer;
when the running state corresponding to the current running data of the target computer is a working state or a semi-working state, not collecting the target data segment in the running data;
when the running state corresponding to the current running data of the target computer is a non-working state, collecting a target data segment in the running data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state or not based on a second analysis result;
collecting a target data segment in the operation data, performing second analysis on the target data segment, and judging whether the target computer is in a dormant state based on a second analysis result, wherein the method comprises the following steps:
Dividing a sub-operation data set of each time interval into a plurality of operation data segments at equal intervals, wherein each sub-operation data set comprises a first operation data segment, a middle operation data segment and a tail operation data segment;
respectively picking a first operation data segment and a tail operation data segment in each sub operation data set;
synthesizing the head operation data segment and the tail operation data segment corresponding to each sub operation data set to obtain a target data segment of target computer operation data;
the method comprises the steps of calling a data value interval when a target computer is in a dormant state in a preset management database;
comparing the target data segment with a data value interval when the target computer is in a dormant state, and judging whether the target computer is in the dormant state;
when the target data segment is in the target value interval, judging that the target computer is in a dormant state;
otherwise, it is determined that the target computer is not in the sleep state.
2. The method for realizing the ultra-long standby of the reinforced handheld tablet computer according to claim 1, wherein in step 1, the operation data of the target computer is collected, comprising:
the background operation of the target computer is monitored based on the first monitoring factor to obtain background operation data, the front-end operation of the target computer is monitored based on the second monitoring factor to obtain front-end operation data, and the background operation data and the front-end operation data are integrated to obtain operation data of the target computer.
3. The method for implementing the ultra-long standby of the reinforced handheld tablet computer according to claim 2, wherein the step of integrating the background operation data with the front-end operation data to obtain the operation data of the target computer comprises the following steps:
performing first reading on the background operation data, determining first key operation data of the background operation data based on a first reading result, and meanwhile, analyzing the first key operation data to determine first operation characteristics of the background operation data;
performing second reading on the front-end operation data, determining second key operation data of the front-end operation data based on the first reading result, and simultaneously analyzing the second key operation data to determine second operation characteristics of the front-end operation data;
determining whether the first operating characteristic matches the second operating characteristic;
when the first operation feature is matched with the second operation feature, corresponding background operation data and front end operation data are stored;
otherwise, the corresponding background operation data and front end operation data are removed.
4. The method for implementing ultra-long standby of a reinforced handheld tablet computer according to claim 1, wherein in step 1, operation data is divided according to preset time division points, and sub operation data sets corresponding to each time interval are determined, including:
Acquiring a preset time division point, and determining a time interval node based on the preset time division point;
the operation data are divided at equal intervals according to a preset time dividing point;
and determining a sub-operation data set based on the segmentation result, storing the sub-operation data to the corresponding time interval nodes, and determining the sub-operation data set corresponding to each time interval.
5. The method for implementing ultra-long standby of a reinforced handheld tablet computer according to claim 1, wherein in step 2, a first analysis is performed on each sub-operation data set, a sub-operation state of a target computer in each time interval is determined based on a first analysis result, sub-operation states corresponding to every two adjacent time intervals are compared, and similarity of sub-operation states corresponding to every two adjacent time intervals is determined, including:
the method comprises the steps of calling an operation template of a target computer, and determining first sample data of the target computer in a working state and second sample data of the target computer in a non-working state according to the operation template of the target computer;
matching the sub-operation data set with the first sample data and the second sample data respectively, and determining a first sub-operation data set matched with the first sample data in the sub-operation data set and a second sub-operation data set matched with the second sample data in the sub-operation data set;
Acquiring a first data volume of a sub-operation data set, and simultaneously determining a second data volume corresponding to the first sub-operation data set and a third data volume corresponding to the second sub-operation data set;
respectively obtaining a first ratio of the second data quantity to the first data quantity and a second ratio of the third data quantity to the first data quantity;
comparing the first ratio with the second ratio, and determining the sub-running state of the target computer in the time interval based on the comparison result;
when the first ratio is smaller than the second ratio, the sub-running state of the target computer in the corresponding time interval is a non-working state, and a first state identifier is output;
when the first ratio is larger than the second ratio, the sub-running state of the target computer in the corresponding time interval is a working state, and a second state identifier is output;
when the first ratio is equal to the second ratio, the sub-running state of the target computer in the corresponding time interval is a working state and a non-working state, and a third state identifier is output, wherein the third state identifier consists of a first state identifier and a second state identifier;
determining the sub-running state of the target computer in each time interval based on the first state identifier, the second state identifier and the third state identifier;
And comparing the sub-operation states corresponding to every two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to every two adjacent time intervals.
6. The method for implementing ultra-long standby of a reinforced handheld tablet computer according to claim 5, wherein comparing the sub-operation states corresponding to each two adjacent time intervals to determine the similarity of the sub-operation states corresponding to each two adjacent time intervals comprises:
reading state identifiers of sub-operation states corresponding to every two adjacent time intervals;
meanwhile, comparing the state identifiers of the sub-operation states corresponding to each two adjacent time intervals, and determining the similarity of the sub-operation states corresponding to each two adjacent time intervals;
when the state identifiers of the sub-operation states corresponding to the two adjacent time intervals are the first state identifier or the second state identifier, the similarity of the sub-operation states corresponding to the two adjacent time intervals is 100%;
when the state identifiers of the sub-operation states corresponding to the two adjacent time intervals are respectively a first state identifier and a second state identifier or a first state identifier and a third state identifier or a second state identifier and a third state identifier, the similarity of the sub-operation states corresponding to the two adjacent time intervals is 0;
When the state identifiers of the sub-running states corresponding to the two adjacent time intervals are the third state identifiers, acquiring time points corresponding to the time intervals, and respectively determining target state identifiers corresponding to each time point in the two adjacent time intervals;
acquiring the target number of the same target state identifiers corresponding to the same time points in two adjacent time intervals;
acquiring the total number of the target state identifiers in the time intervals, wherein the time points in the two adjacent time intervals are in one-to-one correspondence with the target state identifiers, namely the total number of the target state identifiers in the two adjacent time intervals is consistent;
and obtaining a target proportion between the target number and the total number, wherein the target proportion is the similarity of the sub-running states corresponding to the two adjacent time intervals.
7. The method for implementing ultra-long standby of a reinforced handheld tablet computer according to claim 1, wherein in step 3, when the similarity of the sub-operation states corresponding to every two adjacent time intervals reaches a set threshold, acquiring a target data segment in operation data comprises:
acquiring a set threshold value;
comparing the similarity of the sub-operation states corresponding to every two adjacent time intervals with a set threshold value;
When the similarity of the sub-operation states corresponding to every two adjacent time intervals is equal to or greater than a set threshold value, acquiring a target data segment in the operation data;
otherwise, the target data segment in the operation data is not collected.
8. The method for implementing ultra-long standby of a reinforced handheld tablet computer according to claim 1, wherein in step 4, when the target computer is in a sleep state, the sleep time of the target computer is recorded, and when the sleep time of the target computer reaches a preset time length, the target computer is controlled to start a deep sleep state, comprising:
when the target computer is in a dormant state, starting a duration recording instruction;
acquiring an initial time point when the target computer enters a sleep state, and monitoring the sleep time of the target computer by taking the initial time point as a reference based on a time length recording instruction to acquire the sleep time of the target computer;
comparing the sleep time length of the target computer with a preset time length, and judging whether the target computer needs to start a deep sleep state or not;
when the sleep time of the target computer is smaller than the preset time length, judging that the target computer does not need to start the deep sleep state, and maintaining the current state of the target computer;
When the sleep time length of the target computer is equal to or longer than the preset time length, the target computer is judged to need to start the deep sleep state, and meanwhile, a target control instruction is generated to control the target computer to start the deep sleep state.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101131606A (en) * | 2006-08-23 | 2008-02-27 | 乐金电子（昆山）电脑有限公司 | Palm PC standby time guarantee method |
| CN101710253A (en) * | 2009-11-25 | 2010-05-19 | 安凯(广州)微电子技术有限公司 | Deep-sleep method of embedded system |
| CN102360244A (en) * | 2011-09-28 | 2012-02-22 | 深圳市卓怡恒通电脑科技有限公司 | Standby method for lengthening standby time of computer |
| CN102830790A (en) * | 2012-08-03 | 2012-12-19 | 青岛海信信芯科技有限公司 | Mobile electronic equipment and automatic sleeping method thereof |
| CN106502371A (en) * | 2016-11-08 | 2017-03-15 | 珠海市魅族科技有限公司 | A kind of electricity-saving control method and device |
| CN109165138A (en) * | 2018-08-01 | 2019-01-08 | 网宿科技股份有限公司 | A kind of method and apparatus of monitoring equipment fault |
| CN109199325A (en) * | 2017-07-05 | 2019-01-15 | 中移（杭州）信息技术有限公司 | A kind of sleep monitor method and device |
| CN110198558A (en) * | 2019-05-09 | 2019-09-03 | 深圳市万普拉斯科技有限公司 | Standby optimization method, device, computer equipment and storage medium |
| CN111241072A (en) * | 2018-11-29 | 2020-06-05 | 珠海格力电器股份有限公司 | Method and system for judging continuity of data segment |
| CN113840122A (en) * | 2021-11-25 | 2021-12-24 | 南方电网数字电网研究院有限公司 | Monitoring shooting control method and device, electronic equipment and storage medium |
| CN114327021A (en) * | 2021-11-30 | 2022-04-12 | 深圳曦华科技有限公司 | Deep sleep method, device, equipment and storage medium |
| CN114428536A (en) * | 2022-01-27 | 2022-05-03 | 深圳市德航智能技术有限公司 | Quick-start vehicle-mounted three-proofing tablet computer |
| CN114615658A (en) * | 2022-05-11 | 2022-06-10 | 深圳市德航智能技术有限公司 | Handheld tablet computer of 5G communication encryption system |
| CN115390651A (en) * | 2022-08-26 | 2022-11-25 | 合肥知其用技术开发有限责任公司 | Dormancy management method and system |
| CN115877935A (en) * | 2023-03-01 | 2023-03-31 | 南京航空航天大学 | Power management method and system of embedded system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8230247B2 (en) * | 2011-12-30 | 2012-07-24 | Intel Corporation | Transferring architectural functions of a processor to a platform control hub responsive to the processor entering a deep sleep state |
-
2023
- 2023-08-25 CN CN202311074824.9A patent/CN116795196B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101131606A (en) * | 2006-08-23 | 2008-02-27 | 乐金电子（昆山）电脑有限公司 | Palm PC standby time guarantee method |
| CN101710253A (en) * | 2009-11-25 | 2010-05-19 | 安凯(广州)微电子技术有限公司 | Deep-sleep method of embedded system |
| CN102360244A (en) * | 2011-09-28 | 2012-02-22 | 深圳市卓怡恒通电脑科技有限公司 | Standby method for lengthening standby time of computer |
| CN102830790A (en) * | 2012-08-03 | 2012-12-19 | 青岛海信信芯科技有限公司 | Mobile electronic equipment and automatic sleeping method thereof |
| CN106502371A (en) * | 2016-11-08 | 2017-03-15 | 珠海市魅族科技有限公司 | A kind of electricity-saving control method and device |
| CN109199325A (en) * | 2017-07-05 | 2019-01-15 | 中移（杭州）信息技术有限公司 | A kind of sleep monitor method and device |
| CN109165138A (en) * | 2018-08-01 | 2019-01-08 | 网宿科技股份有限公司 | A kind of method and apparatus of monitoring equipment fault |
| CN111241072A (en) * | 2018-11-29 | 2020-06-05 | 珠海格力电器股份有限公司 | Method and system for judging continuity of data segment |
| CN110198558A (en) * | 2019-05-09 | 2019-09-03 | 深圳市万普拉斯科技有限公司 | Standby optimization method, device, computer equipment and storage medium |
| CN113840122A (en) * | 2021-11-25 | 2021-12-24 | 南方电网数字电网研究院有限公司 | Monitoring shooting control method and device, electronic equipment and storage medium |
| CN114327021A (en) * | 2021-11-30 | 2022-04-12 | 深圳曦华科技有限公司 | Deep sleep method, device, equipment and storage medium |
| CN114428536A (en) * | 2022-01-27 | 2022-05-03 | 深圳市德航智能技术有限公司 | Quick-start vehicle-mounted three-proofing tablet computer |
| CN114615658A (en) * | 2022-05-11 | 2022-06-10 | 深圳市德航智能技术有限公司 | Handheld tablet computer of 5G communication encryption system |
| CN115390651A (en) * | 2022-08-26 | 2022-11-25 | 合肥知其用技术开发有限责任公司 | Dormancy management method and system |
| CN115877935A (en) * | 2023-03-01 | 2023-03-31 | 南京航空航天大学 | Power management method and system of embedded system |
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| Publication number | Publication date |
|---|---|
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