CN110881988A - Method, apparatus, device and medium for energy detection - Google Patents
Method, apparatus, device and medium for energy detection Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device, equipment and a medium for energy detection. The method comprises the following steps: acquiring body state labels and psychological state labels of a user to be detected in a plurality of preset time periods; determining a body energy value corresponding to the body state label of each preset time period in a plurality of preset time periods and a psychological energy value corresponding to the psychological state label of each preset time period in a plurality of preset time periods; and obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period. According to the method, the device, the equipment and the medium for detecting the energy, provided by the embodiment of the invention, the accuracy of the health state detection result can be improved.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a method, a device, equipment and a medium for energy detection.
Background
As people pay more attention to their health status, their physical condition is often detected by energy detection.
Most of the current energy detection methods are classified into physical detection and psychological detection. The body detection can obtain the energy reflected by each part of the body, and the psychological detection can obtain the anxiety energy corresponding to the examiner. The examiner can know his or her own physical condition based on the obtained physical examination result and psychological examination result, respectively. However, the health status is determined by both physical health and mental health, and the health status is determined according to the physical detection result and the mental detection result, respectively, so that a more accurate health status detection result cannot be obtained.
Therefore, how to improve the accuracy of the health status detection result is an urgent technical problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for energy detection, which can improve the accuracy of a health state detection result.
In a first aspect, a method of energy detection is provided, the method comprising:
acquiring body state labels and psychological state labels of a user to be detected in a plurality of preset time periods;
determining a body energy value corresponding to the body state label of each preset time period in a plurality of preset time periods and a psychological energy value corresponding to the psychological state label of each preset time period in a plurality of preset time periods;
and obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period.
The comprehensive calculation is carried out based on the body energy value and the psychological energy value of the user to be detected, so that the energy detection result obtained by the user to be detected integrates the body state and the psychological state of the user to be detected, a more accurate energy detection result is obtained, and the accuracy of the health state detection result of the user to be detected is further improved.
In some implementations of the first aspect, the energy detection result includes at least one of: the energy detection system comprises an energy detection gear, an energy trend graph and an energy peak-valley graph.
In some implementations of the first aspect, determining the body energy value corresponding to the body state label for each preset period at a plurality of preset periods includes: and carrying out weighted summation on a first energy value corresponding to a body signal label in the body state label of each preset time period and a second energy value corresponding to a compensation behavior label in the body state label of each preset time period to obtain a body energy value corresponding to each preset time period.
In some implementations of the first aspect, determining the psychological energy value corresponding to the psychological state label of each preset time period in a plurality of preset time periods includes: and carrying out weighted summation on the third energy value corresponding to the psychological cognition label in the psychological state label of each preset time period and the fourth energy value corresponding to the behavior force label in the psychological state label of each preset time period to obtain the psychological energy value corresponding to each preset time period.
In some implementations of the first aspect, the energy detection method further comprises: acquiring a first correction value corresponding to an energy detection gear of a user to be detected in each preset time period of first preset time, a second correction value corresponding to the energy detection gear of the user to be detected in each preset time period of second preset time, and a third correction value corresponding to the energy detection gear of the user to be detected in each preset time period of third preset time; and obtaining the energy correction value of the user to be measured through the weighted summation of the first correction value, the second correction value and the third correction value.
In some implementations of the first aspect, obtaining the energy correction value of the user to be measured by weighted summation of the first correction value, the second correction value, and the third correction value further includes: acquiring personality type characteristics and physiological characteristics of a user to be detected; obtaining a basic characteristic energy correction value of the user to be detected based on a first score corresponding to the personality type characteristic of the user to be detected and a second score corresponding to the physiological characteristic of the user to be detected; and obtaining the energy correction value of the user to be detected through the first correction value, the second correction value, the third correction value and the basic characteristic energy correction value.
In some implementation manners of the first aspect, if the energy detection result is an energy detection gear, obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value, and the energy correction value of the user to be detected, which correspond to each preset time period, includes: carrying out weighted summation on the body energy value and the psychological energy value of the user to be detected corresponding to each preset time period and the energy correction value of the user to be detected to obtain an energy detection value of the user to be detected corresponding to each preset time period; and determining an energy detection gear corresponding to each preset time period of the user to be detected based on the energy detection value corresponding to each preset time period of the user to be detected.
Through the energy gear, the user to be tested can know the own energy state of each preset time period more intuitively.
In some implementation manners of the first aspect, if the energy detection result is an energy trend graph, obtaining the energy detection result of the user to be detected through the body energy value, the psychological energy value, and the energy correction value of the user to be detected, which correspond to each preset time period, includes:
acquiring a self-evaluation value of a user to be tested in each preset time interval; obtaining an energy detection value of the user to be detected corresponding to each preset time period based on the self evaluation value, the historical evaluation value of the user to be detected, the body energy value, the psychological energy value and the energy correction value of the user to be detected; and drawing an energy trend curve chart of the user to be detected based on the energy detection value corresponding to each preset time period.
Through the energy trend curve graph, a user to be tested can know the change conditions of the own energy value in different preset time periods in one day, and the own plan can be adjusted according to the own energy trend curve graph.
In some implementations of the first aspect, the energy detection method further includes:
obtaining an energy detection value of the current moment of the user to be detected based on the body energy value and the psychological energy value corresponding to the current moment of the user to be detected and the energy correction value of the user to be detected;
and marking the energy detection value of the user to be detected at the current moment in the energy trend curve chart of the user to be detected to obtain the energy trend curve chart marked with the energy detection value of the user to be detected at the current moment.
The energy comparison graph enables the user to be tested to know the change between the current energy state and the usual state so as to adjust the state of the user in time.
In some implementation manners of the first aspect, if the energy detection result is an energy peak-valley graph, obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value, and the energy correction value of the user to be detected, which correspond to each preset time period, includes: acquiring a self-evaluation value of a user to be tested in each preset time interval; determining an energy detection value corresponding to each preset time interval of the user to be detected based on the self evaluation value, the historical evaluation value of the user to be detected, the body energy value, the psychological energy value and the energy correction value of the user to be detected; calculating an energy detection average value of the user to be detected according to the energy detection values of the user to be detected corresponding to a plurality of preset time periods; and drawing an energy peak-valley graph of the user to be detected by using the difference value between the energy detection value of the user to be detected corresponding to each preset time period and the energy detection average value.
The energy peak-valley graph enables a user to be tested to know the time period with a high energy value and the time period with a low energy value in one day, and the user to be tested can adjust the plan of the user according to the energy peak-valley graph, so that the work efficiency is improved.
In some realizations of the first aspect, the method of energy detection is applied to a wearable terminal device, wherein the wearable terminal device comprises: intelligence bracelet and intelligent wrist-watch.
In a second aspect, there is provided an apparatus for energy detection, the apparatus comprising:
the acquisition module is used for acquiring body state labels and psychological state labels of a user to be detected in a plurality of preset time periods;
the determining module is used for determining a body energy value corresponding to the body state label of each preset time interval in a plurality of preset time intervals and a psychological energy value corresponding to the psychological state label of each preset time interval in the plurality of preset time intervals;
and the generation module is used for obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period.
In a third aspect, an apparatus for energy detection is provided, the apparatus comprising:
a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, performs the method of energy detection as provided above in the first aspect of the invention.
In a fourth aspect, a computer storage medium is provided, having computer program instructions stored thereon, which when executed by a processor, implement the method of energy detection as provided in the first aspect of the invention above.
The method, the device, the equipment and the medium for detecting the energy, provided by the embodiment of the invention, are used for carrying out comprehensive calculation based on the body energy value and the psychological energy value of the user to be detected, so that the energy detection result integrating the body state and the psychological state of the user to be detected can be obtained, the accuracy of the energy detection result can be improved, and the accuracy of the health state detection result of the user to be detected can be further improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 illustrates a flow diagram of a method of energy detection in accordance with an embodiment of the present invention;
FIG. 2 illustrates a schematic diagram of energy gears according to an embodiment of the present invention;
FIG. 3 illustrates an energy trend graph according to an embodiment of the present invention;
FIG. 4 illustrates an energy peak-valley plot for one embodiment of the present invention;
FIG. 5 is a schematic diagram of an energy detection apparatus according to an embodiment of the present invention;
FIG. 6 illustrates a block diagram of exemplary hardware of a computing device of an embodiment of the invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
As sub-health is gradually emphasized by people, users often use energy detection to detect their own physical conditions, and most of the current energy detection uses physical detection and psychological detection as independent detections to separately analyze the physical and psychological states of the users. For example, the user may determine the current physical condition based on the energy value of the physical examination and determine the current psychological state based on the psychological examination result.
However, studies have found that the cause affecting one's health condition is not determined only by physical or psychological causes, but also by both physical and psychological effects.
Therefore, embodiments of the present invention provide an energy detection method, apparatus, device, and medium, which can obtain an energy detection result that integrates a physical state and a psychological state of a user to be detected, and can improve accuracy of the energy detection result, thereby improving accuracy of a health state detection result of the user to be detected. In addition, the energy detection method provided by the embodiment of the present invention may also be applied to a wearable intelligent terminal, for example: intelligent bracelet and intelligent wrist-watch etc.. The body state labels and the psychological state labels of the user in a plurality of preset time periods can be directly acquired through the intelligent terminal, so that the energy detection efficiency is improved, and the use experience of the user is improved.
Methods, apparatus, devices, and media for energy detection according to embodiments of the invention are described in detail below with reference to the accompanying drawings. It should be noted that these examples are not intended to limit the scope of the present disclosure.
The method of energy detection according to an embodiment of the invention is described in detail below with reference to fig. 1.
For better understanding of the present invention, the method for energy detection according to an embodiment of the present invention is described in detail below with reference to fig. 1, and fig. 1 is a flowchart illustrating the method for energy detection according to an embodiment of the present invention.
As shown in fig. 1, the method for energy detection in the embodiment of the present invention includes the following steps:
s101, obtaining body state labels and psychological state labels of a user to be detected in a plurality of preset time periods.
In an embodiment of the present invention, a questionnaire may be generated for a user to be tested by an intelligent terminal device such as an intelligent bracelet, an intelligent watch, or an intelligent mobile phone, and the questionnaire may include a plurality of body state tag options and a plurality of mental state tag options at each preset time period, so as to be selected by the user to be tested; the body state label and the psychological state label in each preset time period can be filled by the user to be tested.
In another embodiment of the invention, a plurality of body state labels of the user to be tested in each preset time period can be directly acquired through intelligent terminal equipment such as an intelligent bracelet or an intelligent watch worn by the user to be tested.
For example, the sleep data, the sleep duration, the deep sleep ratio, and the like of the user to be detected can be acquired through intelligent terminal equipment such as an intelligent bracelet or an intelligent watch, and the body state label of the user to be detected is generated.
And then, acquiring the body state label and the psychological state label selected by the user to be tested, and/or the body state label and the psychological state label filled by the user in each preset time interval.
S102, determining a body energy value corresponding to the body state label of each preset time interval in a plurality of preset time intervals and a psychological energy value corresponding to the psychological state label of each preset time interval in a plurality of preset time intervals.
In one embodiment of the invention, the body state tags include a body signal tag and a compensatory behavior tag. For example, the body signal tag may be: insomnia, fever, gastrointestinal pain, skin inflammation, shoulder and neck pain, etc.; the compensatory behavior tags may be: diet compensation, mobile phone compensation, game compensation, shopping compensation, and the like.
In one embodiment of the invention, the mental state labels include a mental cognitive label and a behavioral label. For example, the psycho-cognitive label may be: sense of self-responsibility, sense of self-acceptance, sense of incontrollability, sense of control, and the like; the driving force tag may be: communication emotionalization, poor concentration, prolonged behavior, communication containment, and the like.
In an embodiment of the present invention, keyword extraction may be performed based on the body state label input by the user to be tested, so as to accurately obtain the body state label and the psychological state label input by the user to be tested according to the extracted keyword.
In an embodiment of the present invention, the first energy value corresponding to the body signal tag in the acquired body state in each preset time period and the second energy value corresponding to the compensation behavior tag in the body state tag in each preset time period are weighted and summed to obtain the body energy value corresponding to each preset time period.
And carrying out weighted summation on the obtained third energy value corresponding to the central psychological cognition label in the psychological state label of each preset time period and the obtained fourth energy value corresponding to the travelling force label in the psychological state label of each preset time period to obtain the psychological energy value corresponding to each preset time period.
As an example, taking a preset time period of 10:00-11:00 as an example, if the body signal tags acquired in the preset time period have "insomnia" and "fever", the acquired compensation behavior tags have "mobile phone compensation", the acquired psychological cognition tags have "self-responsibility" and "feeling of incontrollability", and the acquired action power tags have "communication mood" and "poor concentration".
The first energy value corresponding to the body signal label 'insomnia' is 5, the first energy value corresponding to the body signal label 'fever' is 8, the second energy value corresponding to the compensation behavior label 'mobile phone compensation' is 2, the third energy value corresponding to the psychological cognition label 'self-responsibility feeling' is 4, the third energy value corresponding to the psychological cognition label 'out-of-control feeling' is 2, the fourth energy value corresponding to the behavior label 'communication emotion' is 3, and the fourth energy value corresponding to the behavior label 'poor concentration' is 5.
The weight corresponding to the body signal label is 0.5, the weight corresponding to the compensatory behavior label is 0.5, the weight corresponding to the psychological cognition label is 0.3, and the weight corresponding to the behavioral label is 0.1.
Then, the body signal label "insomnia", the body signal label "fever" and the compensation behavior label "mobile phone compensation" are weighted and summed according to the corresponding weights, and the body energy value corresponding to the preset time period of 10:00-11:00 is 5 × 0.5+8 × 0.5+2 × 0.5 — 7.5.
And weighting and summing the psychological cognition labels 'out-of-control feeling' and 'out-of-control feeling', the driving force label 'communication emotion' and the driving force label 'concentration difference' according to corresponding weights, wherein the psychological energy value corresponding to the preset time period of 10:00-11:00 is 2 x 0.3+4 x 0.3+3 x 0.1+5 x 0.1-2.6.
And S103, obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period.
In one embodiment of the present invention, the energy detection value may be divided into gear positions in advance. The energy detection value is a value which can be used for representing the energy of the current state of the user to be detected.
For example: the energy detection value set in the range of [0-20] corresponds to an energy gear '1 gear alarm area' and is used for indicating that the body and emotion of a user to be detected have pathological risks; the energy detection value arranged in the range of (20-40) corresponds to the 2 nd compensation area of the energy gear, the device is used for representing the characteristic that the user to be tested can generate out-of-control compensation behavior; setting the energy detection value in the range of (40-60), the corresponding energy gear '3-gear comfort zone' is used for indicating that the user to be tested is enough to cope with daily behaviors, but is unable to move in the face of a change; an energy detection value set in the range of (60-80), the corresponding energy gear '4 gear trial area' is used for indicating that the activity of the user to be tested is increased, the user to be tested can naturally start to do the prolonged action, the user does not do the action for a long time, and the user never does the action, and make trade-offs; an energy detection value set in the range of (80-100), the corresponding energy gear "5 th gear break zone" is used to indicate that the user to be tested will start to perform some significant challenges and changes.
In an embodiment of the present invention, an energy correction value of a user to be measured may also be obtained, where the obtaining of the energy correction value of the user to be measured may include the following steps:
the method comprises the steps of obtaining a first correction value corresponding to an energy detection gear of a user to be detected in each preset time period of first preset time, a second correction value corresponding to the energy detection gear of the user to be detected in each preset time period of second preset time, and a third correction value corresponding to the energy detection gear of the user to be detected in each preset time period of third preset time, and conducting weighted summation on the first correction value, the second correction value and the third correction value to obtain an energy correction value of the user to be detected.
As an example, the previous day of the current test is taken as a first preset time, the weight corresponding to the first preset time is 0.1, the previous two weeks of the current test is taken as a second preset time, the weight corresponding to the second preset time is 0.5, the previous month of the current test is taken as a third preset time, and the weight corresponding to the third preset time is 0.1. It should be understood that the setting of the first preset time, the second preset time and the third preset time and the setting of the corresponding weight are only exemplary and do not limit the present invention.
In addition, the first correction value corresponding to the "1 st gear warning area" is set to be 20, the first correction value corresponding to the "2 nd gear compensation area" is set to be 40, the first correction value corresponding to the "3 rd gear comfort area" is set to be 60, the first correction value corresponding to the "4 th gear trial area" is set to be 80, and the first correction value corresponding to the "5 th gear breakthrough area" is set to be 100.
Taking a preset time interval of 10:00-11:00 as an example, when the energy gear of the user to be tested of 10:00-11:00 of the previous day obtained by the current test is a "3-gear comfort zone", the energy gear of the user to be tested of 10:00-11:00 of the previous two weeks is a "2-gear compensation zone", and the energy gear of the user to be tested of 10:00-11:00 of the previous month is a "3-gear comfort zone", the energy correction value of the preset time interval of 10:00-11:00 of the user to be tested is 60 x 0.1+40 x 0.5+60 x 0.1 x 32.
In an embodiment of the present invention, the obtaining of the energy correction value of the user to be measured may also include the following steps:
and acquiring personality type characteristics and physiological characteristics of the user to be detected.
Obtaining a basic characteristic energy correction value of the user to be detected based on a first score corresponding to the personality type characteristic of the user to be detected and a second score corresponding to the physiological characteristic of the user to be detected
And carrying out weighted summation on the first correction value, the second correction value, the third correction value and the basic characteristic energy correction value to obtain the energy correction value of the user to be measured.
As one example, personality traits may include the Meiers Briggs Type Indicator (MBTI), and physiological traits may include: gender, age, height, weight, etc.
And carrying out weighted summation on the first score corresponding to each personality type characteristic and the second score corresponding to each physiological characteristic to obtain a basic characteristic energy correction value of the user to be detected.
Then, the first correction value, the second correction value, the third correction value and the basic characteristic energy correction value can be subjected to weighted summation to obtain a value serving as a historical energy detection gear correction value of the user to be detected, and then the historical energy detection gear correction value of the user to be detected and the basic characteristic energy correction value of the user to be detected are subjected to weighted summation to obtain an energy correction value of the user to be detected.
In an embodiment of the present invention, the body energy value, the psychological energy value, and the energy correction value of the user to be detected corresponding to each preset time period may be weighted and summed to obtain an energy detection value of the user to be detected corresponding to each preset time period, and the energy detection result of the user to be detected is obtained based on the energy detection value of the user to be detected corresponding to each preset time period.
In one embodiment of the invention, the energy detection result may comprise a combination of one or more of the following: the energy detection system comprises an energy detection gear, an energy trend graph and an energy peak-valley graph.
In an embodiment of the present invention, if the energy detection result is an energy detection gear, after obtaining the energy detection value of the user to be detected, the energy detection gear corresponding to the energy detection value of the user to be detected in each preset time period may be determined based on the energy detection value.
For example, as shown in FIG. 2, FIG. 2 shows a schematic diagram of energy gears according to an embodiment of the present invention. If the calculated energy detection value of the preset time interval of the user to be detected 10:00-11:00 is 30, the energy detection gear corresponding to the preset time interval of the user to be detected 10:00-11:00 can be determined to be the 2-gear compensation area based on the energy detection value in the range of (20-40) and corresponding to the 2-gear compensation area.
In an embodiment of the invention, if the energy detection result is an energy trend graph, as shown in fig. 3, fig. 3 shows an energy trend graph of an embodiment of the invention. The self-evaluation value of the user to be tested in each preset time period can be obtained. For example, the content that the user to be tested considers that what the user to be tested does is laborious and time-consuming at the current moment input by the user to be tested is included, the energy consumption degree of the user to be tested is identified based on the content input by the user to be tested, and then the energy consumption degree is converted into the corresponding self-evaluation value of the user to be tested. And determining the energy gear corresponding to the user to be tested based on the self-evaluation value of the user to be tested.
For example, if the self-evaluation value is in the range of [0-20], the self-evaluation value corresponds to an energy gear "1 gear alarm zone"; the energy gear position is corresponding to a 2 gear compensation area when the self-evaluation value is within the range of (20-40), the energy gear position is corresponding to a 3 gear comfort area when the self-evaluation value is within the range of (40-60), the energy gear position is corresponding to a 4 gear trial area when the self-evaluation value is within the range of (60-80), and the energy gear position is corresponding to a 5 gear breakthrough area when the self-evaluation value is within the range of (80-100).
In an embodiment of the invention, the self-evaluation value of the user to be detected is corrected based on the obtained body energy value, psychological energy value and energy correction value of the user to be detected. For example, if the energy level corresponding to the self-evaluation value of the user to be measured is "3-level comfort zone", and the energy level corresponding to the energy detection value obtained based on the body energy value of the user to be measured, the psychological energy value, and the energy correction value of the user to be measured is "2-level compensation zone", the compensation behavior correction value may be generated (for example, the first correction value corresponding to the "2-level compensation zone" may be 40). And carrying out weighted summation on the self-evaluation value and the compensation behavior correction value of the user to be detected to serve as the self-evaluation value corrected by the user to be detected.
And obtaining the energy detection value of each preset time interval of the user to be detected based on the corrected self evaluation value of the user to be detected in each preset time interval and the historical evaluation value of the user to be detected in each preset time interval. And according to the energy detection value corresponding to each preset time period, an energy trend curve chart of the user to be detected can be drawn.
The energy detection value of the user to be measured in the same preset time period in the last two weeks and the energy detection value of the user to be measured in the same preset time period in the last two weeks are weighted and summed to obtain the historical evaluation value of the user to be measured.
In the embodiment of the invention, through the energy trend curve chart, the user to be tested can know the change conditions of the own energy value in different preset time periods in one day, and can adjust the own plan according to the own energy trend curve chart.
In an embodiment of the present invention, if the energy detection result is an energy comparison graph, the energy detection value of the user to be detected at the current time is marked in the energy trend graph of the user to be detected, so as to obtain the energy trend graph marked with the energy detection value of the user to be detected at the current time.
In the embodiment of the invention, the user to be tested can know the change between the current energy state and the usual state through the energy comparison graph so as to adjust the state of the user in time.
In an embodiment of the present invention, if the energy detection result is an energy peak-valley graph, as shown in fig. 4, fig. 4 shows an energy peak-valley graph according to an embodiment of the present invention.
The energy peak-valley graph of the user to be detected can be drawn by calculating the average value corresponding to the energy detection values of a plurality of preset time periods based on the self evaluation value of the user to be detected in each preset time period, the historical evaluation value of the user to be detected, the body energy value, the psychological energy value and the energy detection value obtained by the energy correction value of the user to be detected, and the difference value between the energy detection value of the user to be detected and the energy detection average value corresponding to each preset time period.
In the embodiment of the invention, the user to be tested can know the time period with higher energy value and the time period with lower energy value in one day through the energy peak-valley graph, and the user to be tested can adjust the own plan according to the energy peak-valley graph of the user to be tested, thereby improving the work efficiency.
The apparatus for energy detection according to the embodiment of the present invention, which corresponds to the method for energy detection, is described in detail by fig. 5.
Fig. 5 shows a schematic structural diagram of an energy detection device according to an embodiment of the invention.
As shown in fig. 5, the apparatus for energy detection includes:
the obtaining module 510 is configured to obtain body state labels and psychological state labels of a user to be tested in multiple preset time periods.
The determining module 520 is configured to determine a body energy value corresponding to the body state label of each preset time period in a plurality of preset time periods, and a psychological energy value corresponding to the psychological state label of each preset time period in a plurality of preset time periods.
The generating module 530 obtains an energy detection result of the user to be detected according to the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period.
According to the energy detection device provided by the embodiment of the invention, comprehensive calculation can be carried out based on the body energy value and the psychological energy value of the user to be detected, the energy detection result obtained by the user to be detected can be integrated with the body state and the psychological state of the user to be detected, a more accurate energy detection result can be obtained, and the accuracy of the health state detection result of the user to be detected can be further improved.
In one embodiment of the invention, the energy detection result comprises at least one of: the energy detection system comprises an energy detection gear, an energy trend graph and an energy peak-valley graph.
In an embodiment of the present invention, the determining module 520 is specifically configured to: and carrying out weighted summation on a first energy value corresponding to a body signal label in the body state label of each preset time period and a second energy value corresponding to a compensation behavior label in the body state label of each preset time period to obtain a body energy value corresponding to each preset time period.
In an embodiment of the present invention, the determining module 520 is further specifically configured to: and carrying out weighted summation on a third energy value corresponding to a psychological cognition label in the psychological state label of each preset time period and a fourth energy value corresponding to a behavior force label in the psychological state label of each preset time period to obtain the psychological energy value corresponding to each preset time period.
In one embodiment of the present invention, the apparatus for energy detection further comprises:
the first obtaining submodule is used for obtaining a first correction value corresponding to the energy detection gear of the user to be detected in each preset time period of the first preset time, a second correction value corresponding to the energy detection gear of the user to be detected in each preset time period of the second preset time, and a third correction value corresponding to the energy detection gear of the user to be detected in each preset time period of the third preset time.
And the first calculation submodule is used for obtaining the energy correction value of the user to be measured through the weighted summation of the first correction value, the second correction value and the third correction value.
In an embodiment of the present invention, the first obtaining sub-module is further configured to obtain personality type characteristics and physiological characteristics of the user to be tested.
In an embodiment of the present invention, the first calculating sub-module is further configured to obtain a basic characteristic energy correction value of the user to be detected based on a first score corresponding to the personality type characteristic of the user to be detected and a second score corresponding to the physiological characteristic of the user to be detected; and obtaining the energy correction value of the user to be detected through the first correction value, the second correction value, the third correction value and the basic characteristic energy correction value.
In an embodiment of the present invention, if the energy detection result is the energy detection gear, the generating module 530 further includes:
and the second calculation submodule is used for carrying out weighted summation on the body energy value and the psychological energy value corresponding to each preset time interval of the user to be detected and the energy correction value of the user to be detected so as to obtain the energy detection value corresponding to each preset time interval of the user to be detected.
The first determining submodule is used for determining an energy detection gear corresponding to each preset time interval of the user to be detected based on the energy detection value corresponding to each preset time interval of the user to be detected.
In an embodiment of the invention, if the energy detection result is an energy trend graph, the generating module 530 further includes:
and the second acquisition sub-module is used for acquiring the self-evaluation value of the user to be tested in each preset time interval.
And the third calculation sub-module is used for obtaining the energy detection value of the user to be detected corresponding to each preset time interval based on the self-evaluation value, the historical evaluation value of the user to be detected, the body energy value, the psychological energy value and the energy correction value of the user to be detected.
And the second determining submodule is used for drawing an energy trend curve chart of the user to be detected based on the energy detection value corresponding to each preset time interval.
In an embodiment of the present invention, the third calculating sub-module is further configured to obtain an energy detection value of the user to be detected at the current time based on the body energy value, the psychological energy value, and the energy correction value of the user to be detected corresponding to the current time of the user to be detected.
The second determining submodule is further used for marking the energy detection value of the user to be detected at the current moment in the energy trend curve chart of the user to be detected to obtain an energy comparison chart of the user to be detected.
In an embodiment of the invention, if the energy detection result is an energy peak-valley graph, the third calculating sub-module is further configured to calculate an energy detection average value of the user to be detected according to the energy detection values of the user to be detected corresponding to the plurality of preset time periods.
The second determining submodule is further used for drawing an energy peak-valley graph of the user to be detected by using the difference value between the energy detection value of the user to be detected corresponding to each preset time period and the energy detection average value.
Each module of the apparatus for energy detection provided in the embodiment of the present invention has a function of implementing the method/step for energy detection in the embodiment shown in fig. 1 to 4, and can achieve the technical effect corresponding to the embodiment shown in fig. 1 to 4, and is not described herein again for brevity.
FIG. 6 illustrates a block diagram of exemplary hardware of a computing device of an embodiment of the invention.
As shown in fig. 6, computing device 600 includes an input device 601, an input interface 602, a central processor 603, a memory 604, an output interface 605, and an output device 606. The input interface 602, the central processing unit 603, the memory 604, and the output interface 605 are connected to each other via a bus 610, and the input device 601 and the output device 606 are connected to the bus 610 via the input interface 602 and the output interface 605, respectively, and further connected to other components of the computing device 600.
Specifically, the input device 601 receives input information from the outside, and transmits the input information to the central processor 603 through the input interface 602; the central processor 603 processes input information based on computer-executable instructions stored in the memory 604 to generate output information, stores the output information temporarily or permanently in the memory 604, and then transmits the output information to the output device 606 through the output interface 605; output device 606 outputs output information to the exterior of computing device 600 for use by a user.
That is, the computing device shown in fig. 6 may also be implemented with an energy detection device that may include: a memory storing computer-executable instructions; and a processor which, when executing computer executable instructions, may implement the method and apparatus of energy detection described in connection with fig. 1-5.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium has computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the method of providing energy detection as described in fig. 1-5 according to embodiments of the present invention.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention. The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. For example, the algorithms described in the specific embodiments may be modified without departing from the basic spirit of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (15)
1. A method of energy detection, comprising:
acquiring body state labels and psychological state labels of a user to be detected in a plurality of preset time periods;
determining a body energy value corresponding to the body state label of each preset time interval in the plurality of preset time intervals and a psychological energy value corresponding to the psychological state label of each preset time interval in the plurality of preset time intervals;
and obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period.
2. The method of energy detection according to claim 1, wherein the energy detection result comprises at least one of: the energy detection system comprises an energy detection gear, an energy trend graph and an energy peak-valley graph.
3. The method of energy detection according to claim 1, wherein said determining the body energy value corresponding to the body state label for each of the plurality of preset time periods comprises:
and carrying out weighted summation on a first energy value corresponding to a body signal label in the body state labels in each preset time period and a second energy value corresponding to a compensation behavior label in the body state labels in each preset time period to obtain the body energy value corresponding to each preset time period.
4. The method according to claim 1, wherein the determining the mental energy value corresponding to the mental state label for each of the plurality of preset time periods comprises:
and carrying out weighted summation on a third energy value corresponding to a psychological cognition label in the psychological state label in each preset time period and a fourth energy value corresponding to a behavior label in the psychological state label in each preset time period to obtain the psychological energy value corresponding to each preset time period.
5. The method of energy detection according to claim 1, further comprising:
acquiring a first correction value corresponding to an energy detection gear of the user to be detected in each preset time period at a first preset time, a second correction value corresponding to the energy detection gear of the user to be detected in each preset time period at a second preset time, and a third correction value corresponding to the energy detection gear of the user to be detected in each preset time period at a third preset time;
and obtaining the energy correction value of the user to be detected according to the first correction value, the second correction value and the third correction value.
6. The method for energy detection according to claim 5, wherein the obtaining of the energy correction value of the user to be detected from the first correction value, the second correction value and the third correction value includes:
acquiring personality type characteristics and physiological characteristics of the user to be detected;
obtaining a basic characteristic energy correction value of the user to be detected based on a first score corresponding to the personality type characteristic of the user to be detected and a second score corresponding to the physiological characteristic of the user to be detected;
and obtaining the energy correction value of the user to be detected according to the first correction value, the second correction value, the third correction value and the basic characteristic energy correction value.
7. The method for energy detection according to any one of claims 1 to 6, wherein if the energy detection result is an energy detection gear, the obtaining the energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected for each preset time period comprises:
weighting and summing the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time interval by the user to be detected to obtain an energy detection value corresponding to each preset time interval by the user to be detected;
and determining an energy detection gear corresponding to each preset time interval of the user to be detected based on the energy detection value corresponding to each preset time interval of the user to be detected.
8. The method according to any one of claims 1 to 6, wherein if the energy detection result is an energy trend graph, the obtaining the energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period comprises:
acquiring a self-evaluation value of the user to be tested in each preset time interval;
obtaining an energy detection value of the user to be detected corresponding to each preset time interval based on the self evaluation value, the historical evaluation value of the user to be detected, the body energy value, the psychological energy value and the energy correction value of the user to be detected;
and drawing an energy trend curve chart of the user to be detected based on the energy detection value corresponding to each preset time period.
9. The method of energy detection according to claim 8, further comprising:
obtaining an energy detection value of the user to be detected at the current moment based on the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to the current moment of the user to be detected;
and marking the energy detection value of the user to be detected at the current moment in the energy trend curve chart of the user to be detected to obtain the energy trend curve chart marked with the energy detection value of the user to be detected at the current moment.
10. The method according to any one of claims 1 to 6, wherein if the energy detection result is an energy peak-valley graph, the obtaining the energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected corresponding to each preset time period comprises:
acquiring a self-evaluation value of the user to be tested in each preset time interval;
determining an energy detection value corresponding to each preset time interval of the user to be detected based on the self evaluation value, the historical evaluation value of the user to be detected, the body energy value, the psychological energy value and the energy correction value of the user to be detected;
calculating an energy detection average value of the user to be detected according to the energy detection values of the user to be detected corresponding to a plurality of preset time periods;
and drawing an energy peak-valley graph of the user to be detected by using the difference value between the energy detection value of the user to be detected corresponding to each preset time period and the energy detection average value.
11. The method for energy detection according to any one of claims 1-6, wherein the method for energy detection is applied to a wearable terminal device, wherein the wearable terminal device comprises: intelligence bracelet and intelligent wrist-watch.
12. An apparatus for energy detection, comprising:
the acquisition module is used for acquiring body state labels and psychological state labels of a user to be detected in a plurality of preset time periods;
a determining module, configured to determine a body energy value corresponding to the body state label in each preset time period in the multiple preset time periods, and a psychological energy value corresponding to the psychological state label in each preset time period in the multiple preset time periods;
and the generation module is used for obtaining an energy detection result of the user to be detected through the body energy value, the psychological energy value and the energy correction value of the user to be detected, which correspond to each preset time period.
13. An apparatus for energy detection, the apparatus comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements a method of energy detection as claimed in any of claims 1-11.
14. The energy detection device of claim 13, wherein the energy detection device comprises: intelligence bracelet and intelligent wrist-watch.
15. A computer storage medium having computer program instructions stored thereon, which when executed by a processor, implement a method of energy detection according to any one of claims 1-11.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737348A (en) * | 2011-04-06 | 2012-10-17 | 中国矿业大学(北京) | Miner safety behavior competence evaluation system |
| US20160360970A1 (en) * | 2015-06-14 | 2016-12-15 | Facense Ltd. | Wearable device for taking thermal and visual measurements from fixed relative positions |
| CN107610765A (en) * | 2017-08-08 | 2018-01-19 | 深圳智能表芯科技有限公司 | A kind of human activity is worth monitoring method and system |
| CN108814628A (en) * | 2018-04-08 | 2018-11-16 | 重庆讲究科技有限公司 | A kind of method that applied energy field carries out instant psychological condition assessment and emergency disposal |
| CN109166627A (en) * | 2018-07-26 | 2019-01-08 | 苏州中科先进技术研究院有限公司 | A kind of health evaluating method, assessment device and the system for rehabilitation |
| CN109820523A (en) * | 2019-03-05 | 2019-05-31 | 浙江强脑科技有限公司 | Psychological tester control method, device and computer readable storage medium |
-
2019
- 2019-12-05 CN CN201911233120.5A patent/CN110881988B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737348A (en) * | 2011-04-06 | 2012-10-17 | 中国矿业大学(北京) | Miner safety behavior competence evaluation system |
| US20160360970A1 (en) * | 2015-06-14 | 2016-12-15 | Facense Ltd. | Wearable device for taking thermal and visual measurements from fixed relative positions |
| CN107610765A (en) * | 2017-08-08 | 2018-01-19 | 深圳智能表芯科技有限公司 | A kind of human activity is worth monitoring method and system |
| CN108814628A (en) * | 2018-04-08 | 2018-11-16 | 重庆讲究科技有限公司 | A kind of method that applied energy field carries out instant psychological condition assessment and emergency disposal |
| CN109166627A (en) * | 2018-07-26 | 2019-01-08 | 苏州中科先进技术研究院有限公司 | A kind of health evaluating method, assessment device and the system for rehabilitation |
| CN109820523A (en) * | 2019-03-05 | 2019-05-31 | 浙江强脑科技有限公司 | Psychological tester control method, device and computer readable storage medium |
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|---|---|
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