CN108459945B - Electronic equipment and control method of running state thereof - Google Patents
Electronic equipment and control method of running state thereof Download PDFInfo
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- CN108459945B CN108459945B CN201810278810.1A CN201810278810A CN108459945B CN 108459945 B CN108459945 B CN 108459945B CN 201810278810 A CN201810278810 A CN 201810278810A CN 108459945 B CN108459945 B CN 108459945B
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- G06F11/00—Error detection; Error correction; Monitoring
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- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
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Abstract
The invention discloses a method for controlling the running state of electronic equipment, which comprises the following steps: acquiring sensing data acquired by at least one sensor in the electronic equipment; acquiring environmental information inside the electronic equipment according to the sensing data and based on a preset environmental information prediction model; and generating a control instruction based on a preset operation control strategy according to the environment information, wherein the control instruction is used for controlling the operation state of the electronic equipment. The invention also discloses an electronic device. By implementing the invention, the environment of the electronic equipment can be detected more accurately, and the running state of the electronic equipment can be controlled more accurately and effectively.
Description
Technical Field
The present invention relates to the field of operation control technologies for electronic devices, and in particular, to an electronic device and a method for controlling an operation state thereof.
Background
Solid State Drives (SSD) are electronic products with very high integration, generate very large heat when operating at full speed, and mainly show that the temperatures of SSD Controller and NAND flash memory are significantly higher than the ambient environment. Therefore, the SSD needs to be temperature-managed, and when the SSD temperature is too high, the operating speed needs to be appropriately reduced, thereby reducing the amount of heat generated to make the entire computer reach a desired temperature. A general temperature management strategy is to set a temperature threshold, reduce the operating speed of the SSD when the temperature measured by the temperature sensor is higher than the threshold, and automatically enter full-speed performance when the temperature is reduced below the threshold. In general, a temperature sensor is attached to a heat generating device, such as SSD Controller and NAND, and the temperature measured by the temperature sensor does not accurately reflect the internal ambient temperature of the SSD, so that the corresponding temperature management policy has no good effect on the internal temperature management of the SSD.
Disclosure of Invention
In view of the above, an embodiment of the present invention provides an electronic device and a method for controlling an operating status thereof,
according to a first aspect of the present invention, there is provided a method for controlling an operating state of an electronic device, comprising:
acquiring sensing data acquired by at least one sensor in the electronic equipment;
acquiring environmental information inside the electronic equipment according to the sensing data and based on a preset environmental information prediction model;
and generating a control instruction based on a preset operation control strategy according to the environment information, wherein the control instruction is used for controlling the operation state of the electronic equipment.
According to one embodiment of the invention, the environment information prediction model is constructed based on a machine learning algorithm and a fuzzy control algorithm of a neural network.
According to an embodiment of the present invention, the sensing data is a sensing temperature value, the environment information is an environment temperature value, and the environment information prediction model is an environment temperature prediction model, the method includes:
acquiring an environmental temperature value in the electronic equipment according to a sensing temperature value acquired by at least one sensor in the electronic equipment and based on a preset environmental temperature prediction model; and generating a control instruction according to the environmental temperature value and based on a preset operation control strategy.
According to one embodiment of the invention, the method further comprises:
when the ambient temperature is greater than or equal to a preset first threshold value, generating a first control instruction, wherein the first control instruction is used for controlling the electronic equipment to be in a first running state;
when the ambient temperature is smaller than a preset second threshold, generating a second control instruction, wherein the second control instruction is used for controlling the electronic equipment to be in a second running state;
wherein the first threshold is the same as or different from the second threshold.
According to one embodiment of the present invention, the sensing data is a sensing temperature value, the environment information is a usage time and/or a usage degree of the electronic device, and the environment information prediction model is a usage time and/or a usage degree prediction model of the electronic device, the method includes:
acquiring a sensing temperature value acquired by at least one sensor in the electronic equipment, and acquiring the service time and/or service degree information of the electronic equipment based on a preset service time and/or service degree prediction model; and generating a control instruction according to the service time and/or the service degree information and based on a preset operation control strategy.
According to one embodiment of the invention, the method further comprises:
when the service time and/or the service degree information reach or exceed a preset threshold, generating a third control instruction, wherein the third control instruction is used for controlling the electronic equipment to be in a third running state;
and when the using time and/or using degree information does not reach the preset threshold, generating a fourth control instruction, wherein the fourth control instruction is used for controlling the electronic equipment to be in a fourth running state.
According to a second aspect of the present invention, there is provided an electronic apparatus comprising:
the first obtaining unit is used for obtaining sensing data acquired by at least one sensor in the electronic equipment;
the second obtaining unit is used for obtaining the internal environmental information of the electronic equipment according to the sensing data and based on a preset environmental information prediction model;
and the control instruction generating unit is used for generating a control instruction according to the environment information and based on a preset operation control strategy, wherein the control instruction is used for controlling the operation state of the electronic equipment.
According to one embodiment of the present invention, the sensing data is a sensing temperature value, the environment information is an environment temperature value, and the environment information prediction model is an environment temperature prediction model;
the second obtaining unit is further configured to obtain an ambient temperature value inside the electronic device based on a preset ambient temperature prediction model according to a sensed temperature value acquired by at least one sensor inside the electronic device;
the control instruction generating unit is further used for generating a control instruction according to the environment temperature value and based on a preset operation control strategy.
According to an embodiment of the invention, the control instruction generation unit is further configured to,
when the ambient temperature is greater than or equal to a preset first threshold value, generating a first control instruction, wherein the first control instruction is used for controlling the electronic equipment to be in a first running state;
when the ambient temperature is smaller than a preset second threshold, generating a second control instruction, wherein the second control instruction is used for controlling the electronic equipment to be in a second running state;
wherein the first threshold is the same as or different from the second threshold.
According to one embodiment of the present invention, the sensing data is a sensing temperature value, the environment information is a usage time and/or a usage degree of the electronic device, and the environment information prediction model is a usage time and/or a usage degree prediction model of the electronic device;
the second obtaining unit is further configured to obtain usage time and/or usage degree information of the electronic device based on a preset usage time and/or usage degree prediction model according to a sensing temperature value acquired by at least one sensor inside the electronic device;
the control instruction generating unit is further used for generating a control instruction according to the using time and/or using degree information and based on a preset operation control strategy.
According to an embodiment of the invention, the control instruction generation unit is further configured to,
when the service time and/or the service degree information reach or exceed a preset threshold, generating a third control instruction, wherein the third control instruction is used for controlling the electronic equipment to be in a third running state;
and when the using time and/or using degree information does not reach the preset threshold, generating a fourth control instruction, wherein the fourth control instruction is used for controlling the electronic equipment to be in a fourth running state.
According to the embodiment of the invention, the machine learning algorithm and the fuzzy control algorithm based on the neural network are adopted to construct the environment information prediction model, and the environment information in the electronic equipment is obtained according to the acquired sensing data, so that the detected environment information of the electronic equipment can be ensured to be more accurate, and the running state of the electronic equipment can be more accurately and effectively controlled. The electronic device protection device can effectively prevent the electronic device from being damaged due to overhigh operating environment temperature, and can ensure that the electronic equipment provides the optimal operating performance under the condition that the environment temperature is within a safety range as much as possible.
It is to be understood that the teachings of the present invention need not achieve all of the above-described benefits, but rather that specific embodiments may achieve specific technical results, and that other embodiments of the present invention may achieve benefits not mentioned above.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
FIG. 1 is a flow chart illustrating a method for controlling an operational state of an electronic device according to an aspect of the present invention;
FIG. 2 illustrates a block diagram of an electronic device in accordance with an aspect of the present invention.
Detailed Description
The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
Example one
As shown in fig. 1, a method for controlling an operating state of an electronic device according to an embodiment of the present invention mainly includes:
At least one sensor is arranged in the electronic device and used for collecting sensing data, the sensor may be a temperature sensor, and the sensing data is a sensing temperature value, but the embodiment of the invention is not limited thereto, and may also be other types of sensing data.
And 102, acquiring the internal environmental information of the electronic equipment according to the sensing data and based on a preset environmental information prediction model.
The environmental information prediction model of the embodiment of the invention can be constructed based on a machine learning algorithm of a neural network, and can be generated by a machine learning mode through a large amount of experimental data or empirical data/historical data, wherein the prediction model mainly reflects the relationship between sensing data and environmental information inside the electronic equipment. The purpose of constructing the model is to obtain corresponding environment information prediction according to the acquired sensing data.
For example: and if the sensing data is the sensing temperature value and the environmental information is the environmental temperature value, the environmental information prediction model is an environmental temperature prediction model and is used for obtaining corresponding environmental temperature information according to the acquired sensing temperature value.
For another example: and if the sensing data is the sensing temperature value, the environment information is the service time of the electronic equipment, and the environment information prediction model is a service time prediction model of the electronic equipment and is used for obtaining the corresponding service time of the electronic equipment according to the acquired sensing temperature value.
For another example: and if the sensing data is the sensing temperature value, the environment information is the use degree of the electronic equipment, and the environment information prediction model is a use degree prediction model of the electronic equipment and is used for obtaining corresponding use program information of the electronic equipment according to the acquired sensing temperature value.
And 103, generating a control instruction based on a preset operation control strategy according to the environment information, wherein the control instruction is used for controlling the operation state of the electronic equipment.
The preset operation control strategy is a control strategy for the operation state of the electronic equipment, and the control strategy is used for generating a corresponding control instruction based on the obtained environment information so as to control the operation state of the electronic equipment accordingly.
In one embodiment, the sensing data is a sensing temperature value, the environment information is an environment temperature value, and the environment information prediction model is an environment temperature prediction model, the method includes:
acquiring an environmental temperature value in the electronic equipment according to a sensing temperature value acquired by at least one sensor in the electronic equipment and based on a preset environmental temperature prediction model; and generating a control instruction according to the environmental temperature value and based on a preset operation control strategy.
Further, when the ambient temperature is greater than or equal to a preset first threshold, generating a first control instruction, where the first control instruction is used to control the electronic device to be in a first operating state;
when the ambient temperature is smaller than a preset second threshold, generating a second control instruction, wherein the second control instruction is used for controlling the electronic equipment to be in a second running state;
wherein the first threshold is the same as or different from the second threshold.
In the first operating state, the operating speed or the overall operating performance of the electronic device is lower than in the second operating state. That is, when the ambient temperature value is greater than or equal to the preset first threshold value, the operating speed or the overall operating performance of the electronic device is controlled to be reduced, so that the ambient temperature in the electronic device is reduced, and the electronic device is prevented from being damaged due to overhigh operating ambient temperature; when the ambient temperature value is smaller than the preset second threshold value, the operation speed or the overall operation performance of the electronic equipment is controlled to be improved, so that the operation performance of the electronic equipment is guaranteed to be the maximum as far as possible under the condition that the ambient temperature is within the safety range.
The first threshold and the second threshold may adopt the same value or different values, and when the first threshold and the second threshold are different values, the value of the first threshold is greater than the second threshold, so that when the ambient temperature value is between the first threshold and the second threshold, the electronic device may keep the current operating state unchanged.
In another possible implementation, the sensing data is a sensing temperature value, the environment information is a usage time and/or a usage degree of the electronic device, and the environment information prediction model is a usage time and/or a usage degree prediction model of the electronic device, the method includes:
acquiring a sensing temperature value acquired by at least one sensor in the electronic equipment, and acquiring the service time and/or service degree information of the electronic equipment based on a preset service time and/or service degree prediction model; and generating a control instruction according to the service time and/or the service degree information and based on a preset operation control strategy.
Further, when the use time and/or the use degree information reach or exceed a preset threshold, generating a third control instruction, wherein the third control instruction is used for controlling the electronic equipment to be in a third running state;
and when the using time and/or using degree information does not reach the preset threshold, generating a fourth control instruction, wherein the fourth control instruction is used for controlling the electronic equipment to be in a fourth running state.
In the third operating state, the operating speed or the overall operating performance of the electronic device is lower than in the fourth operating state. That is, when the usage time and/or the usage degree information is greater than or equal to the preset threshold, the operation speed or the overall operation performance of the electronic equipment is controlled to be reduced, so that the usage degree of the electronic equipment is reduced, and the electronic equipment is prevented from being damaged due to overuse; and when the use time and/or the use degree information is smaller than the preset threshold, controlling the running speed or the whole running performance of the electronic equipment to be improved, so that the electronic equipment can provide the maximum running performance within the allowed use degree as much as possible.
The electronic device according to the embodiment of the present invention may be an SSD, and certainly may also be other types of electronic devices, which is not limited in the embodiment of the present invention. The application of the method of the embodiment of the present invention in the SSD is described in detail below only by taking the SSD as an example, and other types of electronic devices are not described in detail, and the implementation principle and scheme are similar. The SSD is a very high-integration electronic device, and the heat generation is very large when the SSD operates at full speed, which is mainly expressed by that the temperature of the SSD Controller and the NAND is significantly higher than that of the surrounding environment. In the embodiment of the invention, at least one temperature sensor is attached near the NAND, and at least one temperature sensor is also arranged in the SSD Controller and is respectively used for measuring the temperature values of the NAND and the SSD Controller. And acquiring an environment temperature value inside the SSD according to the acquired sensing temperature values and based on a preset environment temperature prediction model, and generating a corresponding control instruction according to the environment temperature value and based on a preset operation control strategy so as to control the operation state of the electronic equipment.
In a specific implementation process, an environment temperature threshold value can be set, and when the environment temperature value obtained based on the environment temperature prediction model is greater than or equal to the environment temperature threshold value, the operation speed or the whole operation performance of the SSD is controlled to be reduced, so that the environment temperature in the SSD is reduced, and the electronic device is prevented from being damaged due to overhigh operation environment temperature; and when the environmental temperature value obtained based on the environmental temperature prediction model is smaller than the environmental temperature threshold value, controlling the running speed or the whole running performance of the SSD to enter full-speed performance so as to ensure the maximum running performance of the SSD as far as possible under the condition that the environmental temperature is within a safety range.
In the implementation process, two or more environment temperature thresholds can be set so as to realize more effective control. Taking two environment temperature thresholds as an example, the environment temperature threshold 1 is smaller than the environment temperature threshold 2, and when the environment temperature value obtained based on the environment temperature prediction model is greater than or equal to the environment temperature threshold 1, operation temperature strategy adjustment is started, such as improving the heat dissipation capacity of a heat dissipation system; when the environmental temperature value obtained based on the environmental temperature prediction model is greater than or equal to the environmental temperature threshold value 2, controlling the running speed or the whole running performance of the SSD to be reduced so as to reduce the environmental temperature in the SSD and avoid the damage of an electronic device due to overhigh running environmental temperature; when the ambient temperature value obtained based on the ambient temperature prediction model is smaller than the ambient temperature threshold 2, the operating speed or the overall operating performance of the SSD is controlled to enter full-speed performance, so that the SSD can ensure the maximum operating performance as much as possible when the ambient temperature is within the safe range, and thus the internal temperature of the SSD can be maintained near the ambient temperature threshold 2 (this process is called Thermal Throttling).
Example two
An embodiment of the present invention further provides an electronic device, as shown in fig. 2, the electronic device includes:
the first obtaining unit 10 is configured to obtain sensing data acquired by at least one sensor inside the electronic device;
a second obtaining unit 20, configured to obtain, according to the sensing data and based on a preset environmental information prediction model, environmental information inside the electronic device;
and a control instruction generating unit 30, configured to generate a control instruction based on a preset operation control policy according to the environment information, where the control instruction is used to control an operation state of the electronic device.
The environment information prediction model is constructed based on a machine learning algorithm of a neural network.
In an implementation manner, the sensing data is a sensing temperature value, the environmental information is an environmental temperature value, and the environmental information prediction model is an environmental temperature prediction model;
the second obtaining unit 20 is further configured to obtain an ambient temperature value inside the electronic device according to a sensed temperature value acquired by at least one sensor inside the electronic device and based on a preset ambient temperature prediction model;
the control instruction generating unit 30 is further configured to generate a control instruction according to the environmental temperature value and based on a preset operation control strategy.
Further, when the ambient temperature is greater than or equal to a preset first threshold, the control instruction generating unit 30 generates a first control instruction, where the first control instruction is used to control the electronic device to be in a first operating state;
when the ambient temperature is less than a preset second threshold, generating a second control instruction, wherein the second control instruction is used for controlling the electronic equipment to be in a second running state;
wherein the first threshold is the same as or different from the second threshold.
In the first operating state, the operating speed or the overall operating performance of the electronic device is lower than in the second operating state. That is, when the ambient temperature value is greater than or equal to the preset first threshold value, the operating speed or the overall operating performance of the electronic device is controlled to be reduced, so that the ambient temperature in the electronic device is reduced, and the electronic device is prevented from being damaged due to overhigh operating ambient temperature; when the ambient temperature value is smaller than the preset second threshold value, the operation speed or the overall operation performance of the electronic equipment is controlled to be improved, so that the operation performance of the electronic equipment is guaranteed to be the maximum as far as possible under the condition that the ambient temperature is within the safety range.
The first threshold and the second threshold may adopt the same value or different values, and when the first threshold and the second threshold are different values, the value of the first threshold is greater than the second threshold, so that when the ambient temperature value is between the first threshold and the second threshold, the electronic device may keep the current operating state unchanged.
In another embodiment, the sensing data is a sensing temperature value, the environment information is the usage time and/or usage degree of the electronic device, and the environment information prediction model is a usage time and/or usage degree prediction model of the electronic device;
the second obtaining unit 20 is further configured to obtain the usage time and/or usage degree information of the electronic device according to a sensing temperature value acquired by at least one sensor inside the electronic device and based on a preset usage time and/or usage degree prediction model;
the control instruction generating unit 30 is further configured to generate a control instruction according to the usage time and/or the usage degree information and based on a preset operation control policy.
Further, the control instruction generating unit generates a third control instruction when the usage time and/or the usage degree information reaches or exceeds a preset threshold, wherein the third control instruction is used for controlling the electronic equipment to be in a third running state;
and generating a fourth control instruction when the using time and/or using degree information does not reach the preset threshold, wherein the fourth control instruction is used for controlling the electronic equipment to be in a fourth running state.
In the third operating state, the operating speed or the overall operating performance of the electronic device is lower than in the fourth operating state. That is, when the usage time and/or the usage degree information is greater than or equal to the preset threshold, the operation speed or the overall operation performance of the electronic equipment is controlled to be reduced, so that the usage degree of the electronic equipment is reduced, and the electronic equipment is prevented from being damaged due to overuse; and when the use time and/or the use degree information is smaller than the preset threshold, controlling the running speed or the whole running performance of the electronic equipment to be improved, so that the electronic equipment can provide the maximum running performance within the allowed use degree as much as possible. (e.g., an SSD read-write speed adjustment strategy determined by the output of the predictive model based on the difference between the first threshold and the sensor measurement and the difference between the second threshold and the sensor measurement as two input parameters).
In summary, the embodiment of the present invention adopts the machine learning algorithm based on the neural network to construct the environment information prediction model, and obtains the environment information inside the electronic device according to the acquired sensing data, so as to ensure that the detected environment information of the electronic device is more accurate, and the operating state of the electronic device can be more accurately and effectively controlled. The electronic device protection device can effectively prevent the electronic device from being damaged due to overhigh operating environment temperature, and can ensure that the electronic equipment provides the optimal operating performance under the condition that the environment temperature is within a safety range as much as possible.
Here, it should be noted that: the description of the above embodiments is similar to the description of the above method embodiments, and has similar beneficial effects to the method embodiments, and therefore, the description is omitted. For technical details that are not disclosed in the embodiments of the present invention, please refer to the description of the embodiments of the method of the present invention for understanding, and therefore, for brevity, will not be described again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media that can store program codes, such as a removable Memory device, a Read Only Memory (ROM), a magnetic disk, or an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (8)
1. A method for controlling an operation state of an electronic device, the method comprising:
acquiring sensing data acquired by at least one sensor in the electronic equipment;
acquiring environmental information inside the electronic equipment according to the sensing data and based on a preset environmental information prediction model;
generating a control instruction based on a preset operation control strategy according to the environment information, wherein the control instruction is used for controlling the operation state of the electronic equipment;
the environment information prediction model is constructed based on a machine learning algorithm or a fuzzy control algorithm of a neural network;
the sensing data is a sensing temperature value, the environment information is the service time and/or the service degree of the electronic equipment, and the environment information prediction model is a service time and/or service degree prediction model of the electronic equipment, and the method comprises the following steps:
acquiring a sensing temperature value acquired by at least one sensor in the electronic equipment, and acquiring the service time and/or service degree information of the electronic equipment based on a preset service time and/or service degree prediction model; and generating a control instruction according to the service time and/or the service degree information and based on a preset operation control strategy.
2. The control method according to claim 1, wherein the sensed data is a sensed temperature value, the environmental information is an environmental temperature value, and the environmental information prediction model is an environmental temperature prediction model, the method comprising:
acquiring an environmental temperature value in the electronic equipment according to a sensing temperature value acquired by at least one sensor in the electronic equipment and based on a preset environmental temperature prediction model; and generating a control instruction according to the environmental temperature value and based on a preset operation control strategy.
3. The control method according to claim 2, characterized in that the method further comprises:
when the ambient temperature is greater than or equal to a preset first threshold value, generating a first control instruction, wherein the first control instruction is used for controlling the electronic equipment to be in a first running state;
when the ambient temperature is smaller than a preset second threshold, generating a second control instruction, wherein the second control instruction is used for controlling the electronic equipment to be in a second running state;
wherein the first threshold is the same as or different from the second threshold.
4. The control method according to claim 1, characterized in that the method further comprises:
when the service time and/or the service degree information reach or exceed a preset threshold, generating a third control instruction, wherein the third control instruction is used for controlling the electronic equipment to be in a third running state;
and when the using time and/or using degree information does not reach the preset threshold, generating a fourth control instruction, wherein the fourth control instruction is used for controlling the electronic equipment to be in a fourth running state.
5. An electronic device, comprising:
the first obtaining unit is used for obtaining sensing data acquired by at least one sensor in the electronic equipment;
the second obtaining unit is used for obtaining the internal environmental information of the electronic equipment according to the sensing data and based on a preset environmental information prediction model;
the control instruction generating unit is used for generating a control instruction according to the environment information and based on a preset operation control strategy, wherein the control instruction is used for controlling the operation state of the electronic equipment;
the sensing data is a sensing temperature value, the environment information is the service time and/or the service degree of the electronic equipment, and the environment information prediction model is the service time and/or the service degree prediction model of the electronic equipment;
the second obtaining unit is further configured to obtain usage time and/or usage degree information of the electronic device based on a preset usage time and/or usage degree prediction model according to a sensing temperature value acquired by at least one sensor inside the electronic device;
the control instruction generating unit is further used for generating a control instruction according to the using time and/or using degree information and based on a preset operation control strategy.
6. The electronic device of claim 5, wherein the sensed data is a sensed temperature value, the environmental information is an environmental temperature value, and the environmental information prediction model is an environmental temperature prediction model;
the second obtaining unit is further configured to obtain an ambient temperature value inside the electronic device based on a preset ambient temperature prediction model according to a sensed temperature value acquired by at least one sensor inside the electronic device;
the control instruction generating unit is further used for generating a control instruction according to the environment temperature value and based on a preset operation control strategy.
7. The electronic device of claim 6, wherein the control instruction generation unit is further configured to,
when the ambient temperature is greater than or equal to a preset first threshold value, generating a first control instruction, wherein the first control instruction is used for controlling the electronic equipment to be in a first running state;
when the ambient temperature is smaller than a preset second threshold, generating a second control instruction, wherein the second control instruction is used for controlling the electronic equipment to be in a second running state; wherein the first threshold is the same as or different from the second threshold.
8. The electronic device of claim 5, wherein the control instruction generation unit is further configured to,
when the service time and/or the service degree information reach or exceed a preset threshold, generating a third control instruction, wherein the third control instruction is used for controlling the electronic equipment to be in a third running state;
and when the using time and/or using degree information does not reach the preset threshold, generating a fourth control instruction, wherein the fourth control instruction is used for controlling the electronic equipment to be in a fourth running state.
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| CN201810278810.1A CN108459945B (en) | 2018-03-31 | 2018-03-31 | Electronic equipment and control method of running state thereof |
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| CN201810278810.1A CN108459945B (en) | 2018-03-31 | 2018-03-31 | Electronic equipment and control method of running state thereof |
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| CN206133417U (en) * | 2016-09-27 | 2017-04-26 | 常州信息职业技术学院 | Pull formula hard disk of computer |
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| CN103501697A (en) * | 2010-10-15 | 2014-01-08 | 霍夫曼-拉罗奇有限公司 | Power management for a handheld medical device |
| CN104838330A (en) * | 2012-12-07 | 2015-08-12 | 高通股份有限公司 | System and method for estimating ambient temperaure from portable computing device |
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