CN107357409B - Information processing method and electronic equipment - Google Patents
Information processing method and electronic equipment Download PDFInfo
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- CN107357409B CN107357409B CN201710522466.1A CN201710522466A CN107357409B CN 107357409 B CN107357409 B CN 107357409B CN 201710522466 A CN201710522466 A CN 201710522466A CN 107357409 B CN107357409 B CN 107357409B
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- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
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- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3234—Power saving characterised by the action undertaken
- G06F1/3287—Power saving characterised by the action undertaken by switching off individual functional units in the computer system
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Abstract
The invention discloses an information processing method, which comprises the following steps: dynamically acquiring the state of a target object in an environment to be detected to obtain a detection result; dynamically updating and storing the detection result; and controlling the functions in the electronic equipment to be in corresponding target states according to the detection result. The invention also discloses an electronic device.
Description
Technical Field
The present invention relates to information processing technologies, and in particular, to an information processing method and an electronic device.
Background
At present, display devices and the like of electronic equipment are all configured with energy-saving schemes; such as: the electronic equipment is set to be in a dormant state or a closed state without input operations such as a keyboard, a mouse and the like within a preset time. However, in some scenarios, it cannot be determined that the user does not use the electronic device without input operations such as a keyboard and a mouse; such as: when a user reads a long document, conceives the document, watches a movie, or the like by using the electronic device, the user does not want the electronic device to be in a sleep or off state although there is no input operation to the electronic device; therefore, a more intelligent power saving scheme applicable to electronic devices is needed.
Disclosure of Invention
In order to solve the existing technical problems, embodiments of the present invention provide an information processing method and an electronic device, which can at least solve the above problems in the prior art.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides an information processing method, which comprises the following steps:
dynamically acquiring the state of a target object in an environment to be detected to obtain a detection result;
dynamically updating and storing the detection result;
and controlling the functions in the electronic equipment to be in corresponding target states according to the detection result.
In the above scheme, the dynamically acquiring the state of the target object in the environment to be detected includes:
detecting the characteristics of different dimensions of the target object in the environment to be detected by using detection equipment to obtain output data;
and determining the state of the target object in the environment to be detected based on the output data.
In the foregoing solution, the determining the state of the target object in the environment to be detected based on the output data includes:
training a machine learning model based on a training sample constructed by an output data sample and a target state marked by the training sample, so that the machine learning model has the performance of predicting the corresponding target state according to the training sample;
and inputting the output data into a machine learning model, and predicting a target state by using the machine learning model.
In the foregoing solution, the detecting, by using the detection device, the characteristics of the target object in the environment to be detected in different dimensions includes:
detecting the running state of the detection equipment;
when the equipment in the running state is unnecessary equipment for detecting the first dimension characteristic of the target object, selecting first equipment which is in the non-running state and can detect the first dimension characteristic of the target object;
when the equipment in the running state is necessary equipment for detecting the first dimension characteristic of the target object in the environment to be detected, selecting second equipment which is in the non-running state and can detect the second dimension characteristic of the target object;
the selected device is started.
In the foregoing solution, the determining the state of the target object in the environment to be detected based on the output data includes:
detecting whether a detection device arranged in the electronic device meets at least one of preset conditions: the number of detection devices placed inside the electronic device is higher than a number threshold; the type of the detection equipment arranged in the electronic equipment is higher than a type threshold value; the data volume output by the detection equipment arranged in the electronic equipment is higher than a data volume threshold value;
if not, selecting a detection device arranged outside the electronic device;
and determining the state of the target object by combining the detection device arranged inside the electronic device and the detection device arranged outside the electronic device.
An embodiment of the present invention further provides an electronic device, including:
the processor is used for dynamically acquiring the state of a target object in the environment to be detected to obtain a detection result;
the memory is used for dynamically updating and storing the detection result;
and the controller is used for controlling the functions in the electronic equipment to be in corresponding target states according to the detection result.
In the above scheme, the processor is specifically configured to detect features of different dimensions of a target object in the environment to be detected by using detection equipment, so as to obtain output data;
and determining the state of the target object in the environment to be detected based on the output data.
In the foregoing solution, the processor is specifically configured to train a machine learning model based on a training sample constructed by an output data sample and a target state labeled by the training sample, so that the machine learning model has a performance of predicting a corresponding target state according to the training sample;
and inputting the output data into a machine learning model, and predicting a target state by using the machine learning model.
In the above scheme, the processor is specifically configured to detect an operating state of the detection device;
when the equipment in the running state is unnecessary equipment for detecting the first dimension characteristic of the target object, selecting first equipment which is in the non-running state and can detect the first dimension characteristic of the target object;
when the equipment in the running state is necessary equipment for detecting the first dimension characteristic of the target object in the environment to be detected, selecting second equipment which is in the non-running state and can detect the second dimension characteristic of the target object;
the selected device is started.
In the foregoing solution, the processor is specifically configured to detect whether a detection device disposed inside the electronic device meets at least one of preset conditions: the number of detection devices placed inside the electronic device is higher than a number threshold; the type of the detection equipment arranged in the electronic equipment is higher than a type threshold value; the data volume output by the detection equipment arranged in the electronic equipment is higher than a data volume threshold value;
if not, selecting a detection device arranged outside the electronic device;
and determining the state of the target object by combining the detection device arranged inside the electronic device and the detection device arranged outside the electronic device.
In the embodiment of the invention, the state of the target object in the environment to be detected is acquired in advance, and the state of the target object is dynamically updated and stored, so that when the state of the electronic equipment needs to be adaptively controlled, the stored state of the target object can be directly called, and the function in the electronic equipment is controlled to be in the corresponding target state based on the called state of the target object, thereby realizing the intelligent control of the electronic equipment.
Drawings
FIG. 1 is a schematic processing flow diagram of an information processing method according to an embodiment of the present invention;
FIG. 2 is a schematic view of a partial processing flow of an information processing method according to a second embodiment of the present invention;
FIG. 3 is a partial processing flow diagram of an information processing method according to a third embodiment of the present invention;
FIG. 4 is a partial processing flow diagram of an information processing method according to a fourth embodiment of the present invention;
FIG. 5 is a partial processing flow diagram of an information processing method according to a fifth embodiment of the present invention;
FIG. 6 is a partial flowchart illustrating an information processing method according to six embodiments of the present invention;
FIG. 7 is a schematic processing flow chart of a seventh information processing method according to an embodiment of the present invention;
FIG. 8 is a flowchart illustrating an information processing method according to eight embodiments of the present invention;
FIG. 9 is a diagram illustrating a user's motion state detection according to an embodiment of the present invention;
FIG. 10 is a flowchart illustrating a ninth information processing method according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of a tenth electronic device according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
Example one
An embodiment of the present invention provides an information processing method, where a processing flow of the information processing method, as shown in fig. 1, includes the following steps:
step S101, dynamically acquiring the state of a target object in an environment to be detected to obtain a detection result;
here, the detection device may be a sensing device integrated inside the electronic device, such as a laser range finder, an infrared imaging device, an image capturing device, and the like. The detection device may also be a device external to the electronic device, such as an audio acquisition device, an input device; the audio acquisition device can be a recording pen, and the input device can be a mouse, a keyboard and the like.
Step S102, dynamically updating and storing the detection result;
specifically, when the storage area of the electronic device itself already stores the state of the target object, the state of the target object that has already been stored is updated by using the latest state of the target object acquired by the detection device; and when the storage area of the electronic equipment does not store the state of the target object, storing the latest state of the target object acquired by the detection equipment into the storage area of the electronic equipment in real time.
Step S103, controlling the function in the electronic equipment to be in a corresponding target state according to the detection result;
specifically, when the function in the electronic device needs to be controlled to be in a corresponding target state, the electronic device selects a detection result with timeliness meeting a preset timeliness condition from detection results stored in the electronic device, and determines the state of a target object according to the selected detection result; and controlling the function of the electronic equipment to be in a corresponding target state.
It should be noted that, in the embodiment of the present invention, the electronic device includes, but is not limited to: smart phones, tablet computers, notebook computers, wearable devices (such as smart glasses, smart watches, etc.), outdoor advertising display devices, and the like.
Correspondingly, when the electronic device is a smart phone, a tablet computer or a notebook computer, the target object may be a user in the environment where the electronic device is located; accordingly, the target state may be whether the user is in a motion state or whether a specific biometric feature such as an eye of the user is in a motion state. When the electronic device is wearable devices such as a smart watch and smart glasses, the target object may be a meteorological environment where the wearable devices are located or a main body bearing the wearable devices; accordingly, the state of the target object may be weather, a motion state of the subject, or the like. When the electronic equipment is an outdoor advertisement display device, the target object is a meteorological environment where the advertisement display device is located or an object around a display screen of the advertisement display device, such as a flying bird, a balloon and the like; accordingly, the state of the target object may be whether a bird, a balloon, or the like is present. When the target object is a meteorological environment, the detection device may be a barometer, a thermometer, a hygrometer, or the like.
Example two
Please refer to fig. 2, which is a partial flowchart of an information processing method according to a second embodiment of the present invention. The method of the present embodiment is similar to the method shown in fig. 1, except that step S101 includes the following steps:
step S110, detecting the characteristics of different dimensions of the target object in the environment to be detected by using detection equipment to obtain output data;
here, the characteristics of the target object in different dimensions refer to a plurality of factors capable of characterizing the state of the target object; for example, when the target object is a user in an environment where the electronic device is located, the feature of different dimensions may be whether the user is in a motion state within a specific time period, whether eyes of the user are in a motion state within a specific time period, whether there is audio output of the user in the environment where the electronic device is located, or the like.
And step S111, determining the state of the target object in the environment to be detected based on the output data.
EXAMPLE III
Please refer to fig. 3, which is a partial flowchart of an information processing method according to a third embodiment of the present invention. The method of the present embodiment is similar to the method shown in fig. 2, except that step S110 includes the following steps:
step S210, training a machine learning model based on a training sample constructed by an output data sample and a target state marked by the training sample;
specifically, the electronic equipment constructs a training sample based on a historical output data sample, and marks a target state for the training sample; training a machine learning model based on the constructed training samples and the target states marked by the training samples; the learning model has the performance of predicting the corresponding target state according to the training sample.
Step S211, inputting the output data into a machine learning model, and predicting a target state using the machine learning model.
Example four
Please refer to fig. 4, which is a partial flowchart of an information processing method according to a fourth embodiment of the present invention. The method of the present embodiment is similar to the method shown in fig. 2, except that step S110 includes the following steps:
in step S212, the operating states of the plurality of detection devices are detected.
Step S213 of selecting a device for detecting a feature of a target object based on an operation state of the detection device;
specifically, when the device in the operating state is an unnecessary device for detecting the first dimension feature of the target object, selecting a first device in the non-operating state, which is capable of detecting the first dimension feature of the target object; taking the target object as a user in front of the electronic device as an example, the first dimension characteristic is whether the user is in a motion state; therefore, whether the user is in a motion state can be detected through a camera, a distance sensor, an infrared imaging device and the like; when the camera is in a running state, the distance sensor head and the infrared imaging device are selected to detect whether the user is in a moving state.
When the equipment in the running state is necessary equipment for detecting the first dimension characteristic of the target object in the environment to be detected, selecting second equipment which is in the non-running state and can detect the second dimension characteristic of the target object; taking the target object as an example of a user in front of the electronic device, the characteristic of the first dimension is whether the user has audio output; therefore, whether the user has audio output can only be detected through the audio acquisition device; when the audio acquisition equipment is in an operating state, other second equipment which is in a non-operating state and is capable of waiting for detecting the second dimension characteristic of the target object can be selected; the second dimension characteristic may be whether the user is in motion.
Step S214, the selected device is started.
EXAMPLE five
Please refer to fig. 5, which is a partial flowchart of an information processing method according to a fifth embodiment of the present invention. The method of the present embodiment is similar to the method shown in fig. 4, except that, when there are a plurality of devices selected in step S213, step S214 includes the following steps:
step S310, acquiring the starting time of the selected equipment;
specifically, the electronic device obtains the starting time of the selected device; the starting time refers to the response time of operating the selected equipment when the selected equipment is triggered to operate.
In step S311, the selected devices are sorted in ascending order based on the acquired activation times.
Step S312, starting the selected equipment according to the arrangement;
specifically, the selected devices are triggered to operate according to the sequence of the starting time determined in the arrangement from small to large.
EXAMPLE six
Please refer to fig. 6, which is a partial flowchart of an information processing method according to a sixth embodiment of the present invention. The method of the present embodiment is similar to the method shown in fig. 2, except that step S111 includes the following steps:
step S410, detecting whether a detection device arranged in the electronic device meets at least one of preset conditions; if yes, go to step S413; if not, step S411 is executed.
Here, the preset conditions include: the number of detection devices placed inside the electronic device is higher than a number threshold; the type of the detection equipment arranged in the electronic equipment is higher than a type threshold value; the data volume output by the detection device arranged in the electronic device is higher than the data volume threshold value.
Step S411, selecting a detection device arranged outside the electronic device;
when the number of detection devices placed inside the electronic device is lower than a number threshold, or the kind of detection devices placed inside the electronic device is lower than a kind threshold, or the data amount output by the detection devices placed inside the electronic device is lower than a data amount threshold, it is considered that the output data based on the detection devices placed inside the electronic device is insufficient to confirm the state of the target object, or the state of the target object cannot be confirmed accurately; at this time, the detection device to be placed inside the electronic device cooperates with the detection device placed outside the electronic device to determine the state of the target object.
The detection device external to the electronic device is a detection device that is not integrated within the electronic device and is physically separate from the electronic device.
Step S412, determining the state of the target object by combining the detection device disposed inside the electronic device and the detection device disposed outside the electronic device.
Step S413, determining the state of the target object by using a detection device disposed inside the electronic device.
EXAMPLE seven
Taking the electronic device as an outdoor advertisement display device as an example, a specific implementation flow of the information processing method according to the seventh embodiment of the present invention, as shown in fig. 7, includes:
step S501, acquiring a meteorological environment where the advertisement display device is located according to a preset detection period by using environment detection equipment to obtain a detection result;
here, the sensing period may be flexibly set as needed, and the environment sensing apparatus includes at least: thermometer, hygrometer, barometer.
Step S502, storing the detection result.
Step S503, when the detection result indicates that the meteorological environment is rainy, detecting whether moving objects exist around the display interface of the advertisement display device by using infrared imaging equipment;
here, the moving object includes animals such as a human figure and a bird.
And step S504, when the advertisement display device needs to be controlled, inquiring about the most time-sensitive detection result in the stored detection results.
And step S505, when the detection result represents that moving objects are around the display interface of the advertisement display device, closing the advertisement display device.
In the embodiment of the invention, whether a moving object exists around the meteorological environment of the advertisement display device and the display interface of the advertisement display device is detected and stored in advance; when the advertisement display device needs to be controlled, the states of corresponding meteorological environments, whether moving objects and other target objects exist around the display interface of the advertisement display device or not can be quickly inquired from the stored data, the running states of the advertisement display device can be controlled based on the inquired results, such as on, off, sleeping and the like, and the intelligent control of the advertisement display device is accurately realized.
Example eight
Taking the electronic device as an example, a specific implementation flow of the information processing method according to the eighth embodiment of the present invention is shown in fig. 8, and includes:
step S601, detecting the motion state of a user in front of a display screen of a computer in real time by using sensing equipment;
specifically, as shown in fig. 9, the motion states of biological features of the body, the limbs, the eyes, and the like of the user within a certain time range may be detected by using a laser range finder, an infrared imaging device, and an image acquisition device, respectively, to obtain detection results.
Step S602, storing the detection result in real time;
specifically, for the same target object, a fixed number of detection results, such as 10, may be stored; for the target object, when the 11 th detection result is acquired, the detection result with the earliest timeliness in the already stored 10 detection results is deleted, and the 11 th detection result is stored.
Step S603, when the computer needs to be controlled, inquiring the most time-sensitive detection result in the stored detection results.
Step S604, controlling the state of the computer according to the detection result;
specifically, when the detection result indicates that one physiological characteristic of the user, such as the movement of eyes, is in a certain time range, the user still uses the computer, so that the computer is not processed; when the detection result shows that each physiological characteristic of the user is in a static state within a certain time range, the user is not using the computer, and therefore the computer is controlled to be in an energy-saving state.
In the embodiment of the invention, the motion state of a user in front of a display screen of a computer is detected and stored in advance from multiple dimensions; when the computer needs to be controlled, the stored motion state of the user is directly called, the running state of the computer is controlled based on the motion state of the user, and intelligent control over the computer is accurately achieved.
Example nine
Taking the electronic device as an example of an intelligent street lamp, a specific implementation flow of the information processing method according to the ninth embodiment of the present invention is shown in fig. 10, and includes:
step S701, detecting whether a moving person exists in a certain area around the intelligent street lamp in real time by using infrared imaging equipment; when the detection result is yes, step S702 is executed; when the detection result is no, step S704 is executed; and controlling to close the intelligent street lamp.
In step S702, the gender of the person is detected based on the physiological characteristics of the person.
Step S703, controlling the brightness of the intelligent street lamp according to the gender of the person;
specifically, when the gender of the person is detected to be female, the brightness of the intelligent street lamp is increased, and when the gender of the person is detected to be male, the brightness of the intelligent street lamp is decreased.
When the gender of the person is detected to be female, the heart beating frequency of the person can be further detected; when the heart beating frequency of the person is detected to be high, the brightness of the intelligent street lamp is adjusted to be high, and when the heart beating frequency of the task is detected to be low, the brightness of the intelligent street lamp is kept unchanged or is adjusted to be low.
And step S704, controlling to close the intelligent street lamp.
In the embodiment of the invention, the motion state and the physiological characteristics of people in a certain area around the intelligent street lamp are detected and stored in advance; when the intelligent street lamp needs to be controlled, the stored motion state and physiological characteristics of the person are directly called, and the brightness of the intelligent street lamp is controlled according to the called motion state and physiological characteristics of the person, so that the intelligent control of the intelligent street lamp is realized.
It should be noted that the states of the electronic device, the detection device, the target object, and the target object according to the embodiments of the present invention are not limited to the contents defined in the first to ninth embodiments; any electronic device, object associated with an electronic device, device capable of detecting different dimensional characteristics of an object are within the scope of the present invention.
Example ten
To implement the information processing method, an embodiment of the present invention further provides an electronic device, where a composition structure of the electronic device, as shown in fig. 11, includes: a processor 11, a memory 12, and a controller 13; wherein the content of the first and second substances,
the processor 11 is configured to dynamically acquire a state of a target object in an environment to be detected, so as to obtain a detection result;
the memory 12 is used for dynamically updating and storing the detection result;
and the controller 13 is configured to control a function in the electronic device to be in a corresponding target state according to the detection result.
In a specific embodiment, the processor 11 is specifically configured to detect features of different dimensions of a target object in the environment to be detected by using a detection device, so as to obtain output data;
and determining the state of the target object in the environment to be detected based on the output data.
In a specific embodiment, the processor 11 is specifically configured to train a machine learning model based on a training sample constructed by output data samples and a target state labeled by the training sample, so that the machine learning model has a performance of predicting a corresponding target state according to the training sample;
and inputting the output data into a machine learning model, and predicting a target state by using the machine learning model.
In an embodiment, the processor 11 is specifically configured to detect an operating state of the detection device;
when the equipment in the running state is unnecessary equipment for detecting the first dimension characteristic of the target object, selecting first equipment which is in the non-running state and can detect the first dimension characteristic of the target object;
when the equipment in the running state is necessary equipment for detecting the first dimension characteristic of the target object in the environment to be detected, selecting second equipment which is in the non-running state and can detect the second dimension characteristic of the target object;
the selected device is started.
In a specific embodiment, the processor 11 is specifically configured to, when a plurality of selected devices are provided, obtain a start time of the selected devices;
performing ascending arrangement on the selected equipment based on the acquired starting time;
the selected device is activated in accordance with the arrangement.
In an embodiment, the processor 11 is specifically configured to detect whether a detection device disposed inside the electronic device satisfies at least one of preset conditions: the number of detection devices placed inside the electronic device is higher than a number threshold; the type of the detection equipment arranged in the electronic equipment is higher than a type threshold value; the data volume output by the detection equipment arranged in the electronic equipment is higher than a data volume threshold value;
if not, selecting a detection device arranged outside the electronic device;
and determining the state of the target object by combining the detection device arranged inside the electronic device and the detection device arranged outside the electronic device.
In a specific embodiment, the processor 11 is specifically configured to select, when it is required to control a function in the electronic device to be in a corresponding target state, a detection result with timeliness meeting a preset timeliness condition from among the stored detection results;
determining a target state corresponding to the function according to the selected detection result;
and controlling the function to be in a corresponding target state.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, where the program may be stored in a computer readable storage unit, and when executed, the program performs the steps including the method embodiments; the memory cell includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage unit 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 unit and includes several instructions for enabling 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. The memory cell includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other 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 (6)
1. An information processing method characterized by comprising:
dynamically acquiring the state of at least one target object in an environment to be detected to obtain a detection result;
the dynamically acquiring the state of at least one target object in the environment to be detected includes: detecting the characteristics of at least one target object in the environment to be detected in different dimensions by using detection equipment to obtain output data; determining the state of each target object in the environment to be detected based on the output data;
dynamically updating and storing the detection result; the same target object is correspondingly stored with a fixed number of detection results;
when the function in the electronic equipment needs to be controlled to be in a corresponding target state, selecting a detection result with timeliness meeting a preset timeliness condition from the stored detection results;
controlling the function in the electronic equipment to be in a corresponding target state according to the selected detection result;
the detecting, by using a detection device, the characteristics of the at least one target object in the environment to be detected in different dimensions includes:
detecting the running state of the detection equipment;
when the equipment in the running state is unnecessary equipment for detecting the first dimension characteristic of the target object, selecting first equipment which is in the non-running state and can detect the first dimension characteristic of the target object;
when the equipment in the running state is necessary equipment for detecting the first dimension characteristic of the target object in the environment to be detected, selecting second equipment which is in the non-running state and can detect the second dimension characteristic of the target object;
the selected device is started.
2. The method according to claim 1, wherein the determining the status of each target object in the environment to be detected based on the output data comprises:
training a machine learning model based on a training sample constructed by an output data sample and a target state marked by the training sample, so that the machine learning model has the performance of predicting the corresponding target state according to the training sample;
and inputting the output data into a machine learning model, and predicting a target state by using the machine learning model.
3. The method according to claim 1, wherein the determining the status of each target object in the environment to be detected based on the output data comprises:
detecting whether a detection device arranged in the electronic device meets at least one of preset conditions: the number of detection devices placed inside the electronic device is higher than a number threshold; the type of the detection equipment arranged in the electronic equipment is higher than a type threshold value; the data volume output by the detection equipment arranged in the electronic equipment is higher than a data volume threshold value;
if not, selecting a detection device arranged outside the electronic device;
and determining the state of each target object by combining the detection device arranged in the electronic device and the detection device arranged outside the electronic device.
4. An electronic device, comprising:
the processor is used for dynamically acquiring the state of at least one target object in the environment to be detected to obtain a detection result; the processor is specifically configured to detect, by using a detection device, characteristics of at least one target object in the environment to be detected in different dimensions, and includes: detecting the running state of the detection equipment; when the equipment in the running state is unnecessary equipment for detecting the first dimension characteristic of the target object, selecting first equipment which is in the non-running state and can detect the first dimension characteristic of the target object; when the equipment in the running state is necessary equipment for detecting the first dimension characteristic of the target object in the environment to be detected, selecting second equipment which is in the non-running state and can detect the second dimension characteristic of the target object; starting the selected equipment to obtain output data; determining the state of each target object in the environment to be detected based on the output data;
the memory is used for dynamically updating and storing the detection result; the same target object is correspondingly stored with a fixed number of detection results;
the controller is used for selecting a detection result with timeliness meeting a preset timeliness condition from the stored detection results when the function in the electronic equipment needs to be controlled to be in a corresponding target state; and controlling the functions in the electronic equipment to be in corresponding target states according to the selected detection results.
5. The electronic device of claim 4, wherein the processor is specifically configured to train a machine learning model based on a training sample constructed from output data samples and the target states labeled by the training sample, such that the machine learning model has a capability of predicting the corresponding target states from the training sample;
and inputting the output data into a machine learning model, and predicting a target state by using the machine learning model.
6. The electronic device according to claim 4, wherein the processor is specifically configured to detect whether a detection device disposed inside the electronic device satisfies at least one of preset conditions: the number of detection devices placed inside the electronic device is higher than a number threshold; the type of the detection equipment arranged in the electronic equipment is higher than a type threshold value; the data volume output by the detection equipment arranged in the electronic equipment is higher than a data volume threshold value;
if not, selecting a detection device arranged outside the electronic device;
and determining the state of each target object by combining the detection device arranged in the electronic device and the detection device arranged outside the electronic device.
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| CN201710522466.1A CN107357409B (en) | 2017-06-30 | 2017-06-30 | Information processing method and electronic equipment |
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| CN201710522466.1A CN107357409B (en) | 2017-06-30 | 2017-06-30 | Information processing method and electronic equipment |
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| CN107357409A CN107357409A (en) | 2017-11-17 |
| CN107357409B true CN107357409B (en) | 2021-01-15 |
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| CN102779499A (en) * | 2011-05-12 | 2012-11-14 | 同济大学 | Energy-saving method for displayer |
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