CN118312396B - AI interaction intelligent glasses and interaction system thereof - Google Patents
AI interaction intelligent glasses and interaction system thereof Download PDFInfo
- Publication number
- CN118312396B CN118312396B CN202410720453.5A CN202410720453A CN118312396B CN 118312396 B CN118312396 B CN 118312396B CN 202410720453 A CN202410720453 A CN 202410720453A CN 118312396 B CN118312396 B CN 118312396B
- Authority
- CN
- China
- Prior art keywords
- glasses
- interaction
- overtemperature
- duration
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
- G06F11/3419—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment by assessing time
- G06F11/3423—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment by assessing time where the assessed time is active or idle time
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B27/00—Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
- G02B27/01—Head-up displays
- G02B27/017—Head mounted
- G02B2027/0178—Eyeglass type
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Computer Hardware Design (AREA)
- Optics & Photonics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the field of AI intelligent interaction technology and discloses an AI interactive intelligent glasses and its interaction system. The system comprises an AI interactive intelligent glasses and its interaction system, which are based on correlated signals between a post interaction time period and an over temperature duration time period. The dynamic analysis module obtains the AI glasses interaction state value of the over temperature duration time period, constructs the interaction over temperature time ratio standard interval of the over temperature duration time period based on the AI glasses interaction state value, and completes the regulation of the AI glasses interaction over temperature time ratio. The invention compares and processes the AI glasses interaction state value curve with the AI glasses interaction state standard value line to obtain the interaction over temperature time ratio standard interval, and then uses the post interaction time period of the AI glasses as a reference to obtain the time length of the AI glasses' post interaction time period. Analyzing the duration of over temperature within the temperature time ratio standard interval for the duration of sustainable interaction, Allowing AI glasses to continue operating under sustainable interaction time conditions can effectively ensure the intelligent interaction effect of AI glasses.
Description
Technical Field
The invention relates to the technical field of AI intelligent interaction, in particular to AI intelligent interaction glasses and an interaction system thereof.
Background
AI interactive glasses are intelligent wearable devices integrated with artificial intelligence technology, and have been rapidly developed in recent years. The system records and analyzes surrounding environment information in real time through hardware devices such as a built-in camera, a microphone, a sensor and the like, and performs high-efficiency man-machine interaction with a user.
Patent publication number CN117332144A discloses an interactive intelligent glasses and an interactive system thereof, mainly realizes multidimensional intelligent interaction with a user, promotes interactive experience of the user, and simultaneously adopts AI deep learning by learning search history, preference and behavior of the user, so that a search engine can better understand the requirements of the user, and the user experience is continuously promoted in the use process.
However, the conventional AI interactive glasses can generate heat in the use process, and cannot realize effective evaluation on the reason of the heat generation of the AI interactive glasses and whether the AI interactive glasses are used continuously after the heat generation, so that the AI interactive glasses have certain limitations, and the use effect is poor due to the fact that the AI interactive glasses are used continuously after the heat generation, and the use effect cannot be achieved.
Disclosure of Invention
The invention aims to provide an AI interaction intelligent glasses and an interaction system thereof, which take a post-interaction time period of the AI glasses after heating as a reference, and the time length of the post-interaction time period of the AI glasses is acquired, so that the duration of sustainable interaction of the super-temperature duration period is analyzed in a standard interval when the interaction exceeds the super-temperature duration period, and the AI glasses continue to operate under the condition of the sustainable interaction duration period, thereby effectively ensuring the intelligent interaction effect of the AI glasses.
The aim of the invention can be achieved by the following technical scheme:
An interactive system of AI interactive smart glasses, comprising:
The temperature acquisition module is used for acquiring interactive temperature data of the AI glasses;
According to the interactive temperature data of the AI glasses, processing to obtain a temperature characterization value of the AI glasses, judging the operation of the AI glasses, and generating an AI glasses temperature qualified signal and an AI glasses temperature unqualified signal;
The overtemperature evaluation module is used for obtaining an overtemperature duration time period by taking heating time as an analysis object based on the temperature disqualification signal of the AI glasses, and processing the overtemperature duration time period of the AI glasses to generate an overtemperature Wen Yidong unstable signal and an overtemperature Wen Yidong stable signal;
the interaction identification module is used for acquiring interaction time data corresponding to each overtemperature duration time period based on the unstable signals of the super Wen Yidong, and carrying out relevance judgment on the interaction time data and the duration of the overtemperature duration time period to obtain related signals of the post-interaction time period and the overtemperature duration time period;
The dynamic analysis module is used for acquiring an AI glasses interaction state value of the overtemperature duration time period based on the related signals of the post-interaction time period and the overtemperature duration time period, constructing an interaction overtemperature time ratio standard interval of the overtemperature duration time period based on the AI glasses interaction state value, and completing regulation and control of the interaction overtemperature time ratio of the AI glasses.
As a further scheme of the invention: acquiring a real-time temperature value of the AI glasses in use, and if the time that the real-time temperature value of the AI glasses is larger than the real-time temperature threshold exceeds a preset time length, recording the real-time temperature value of the AI glasses in use as a verification temperature value of the AI glasses;
calculating the ratio of the effective temperature value of the AI glasses to the temperature change duration of the AI glasses to obtain a temperature characterization value of the AI glasses;
if the temperature representation value of the AI glasses is larger than or equal to the temperature representation threshold value of the AI glasses, generating an AI glasses temperature disqualification signal;
and if the temperature representation value of the AI glasses is smaller than the temperature representation threshold value of the AI glasses, generating an AI glasses temperature qualification signal.
As a further scheme of the invention: presetting an analysis period, acquiring temperature continuous data corresponding to an AI (advanced technology attachment) glasses temperature disqualification signal in the analysis period, wherein the temperature continuous data is the duration of a verification temperature value of the AI glasses, and recording the duration as an overtemperature duration period;
Performing variance calculation on the duration of all the overtemperature duration time periods in the analysis period to obtain overtemperature duration fluctuation values;
If the overtemperature duration fluctuation value is greater than or equal to the overtemperature duration fluctuation threshold, generating an overtemperature Wen Yidong unstable signal;
and if the overtemperature time period fluctuation value is smaller than the Yu Chaowen time period fluctuation threshold value, generating an overtemperature Wen Yidong stable signal.
As a further scheme of the invention: based on the super Wen Yidong unstable signals, recording the continuous interaction time period of the AI glasses after the starting point time of each overtemperature duration time period as a post interaction time period;
processing the duration of the post-interaction and the duration of the overtemperature duration of the post-interaction time period to obtain an interaction overtemperature time ratio and an interaction overtemperature Wen Shicha;
performing product calculation on the interaction overtemperature time ratio and the interaction overtemperature Wen Shicha to obtain an interaction overtemperature correlation value;
If the interaction overtemperature variance value is larger than or equal to the interaction overtemperature Wen Fangcha threshold, generating an uncorrelated signal of the post-interaction time period and the overtemperature duration time period;
if the interaction super Wen Fangcha value is smaller than the interaction super Wen Fangcha threshold, generating a related signal of the post-interaction time period and the super-temperature duration time period.
As a further scheme of the invention: the interaction overtemperature time ratio is the ratio of the duration of the post interaction to the duration of the overtemperature duration;
The interaction super Wen Shicha is the difference between the duration of the over-temperature duration and the post-interaction duration.
As a further scheme of the invention: dividing each overtemperature duration period into a plurality of overtemperature subunits, and acquiring an AI glasses interaction speed behavior value of each overtemperature subunit;
And processing the AI glasses interaction speed behavior values of all the over-temperature subunits to obtain the AI glasses interaction state value of the over-temperature duration time period.
As a further scheme of the invention: establishing a plane coordinate system, taking the overtemperature duration period as an X axis, and taking an AI glasses interaction state value corresponding to the overtemperature duration period as a Y axis;
The AI glasses interaction state values of each overtemperature duration period in a preset period are connected in parallel at the internal standard points of the plane coordinate system according to the sequence from big to small, and an AI glasses interaction state value curve is constructed;
An AI glasses interaction state standard value line parallel to the X axis is built in a plane coordinate system by using the AI glasses interaction state standard value;
and marking the curve part of the AI glasses interaction state value curve, which is positioned on the AI glasses interaction state standard value line, and marking the curve part as a qualified curve section.
As a further scheme of the invention: acquiring the interactive overtemperature time ratio of each overtemperature duration time period in the qualified curve section, and obtaining an interactive overtemperature time ratio standard group;
obtaining the maximum value in the comparison standard group when the interaction overtemperature is performed, and marking as JHmax;
obtaining the minimum value in the comparison standard group when the interaction overtemperature is performed, and marking as JHmin;
obtaining the interactive overtemperature of the overtemperature duration period, wherein the interactive overtemperature duration period is longer than the standard interval [ JHmin, JHmax ];
And sending the obtained interactive overtemperature time ratio standard interval of the overtemperature duration period to an interactive reminding module, so that the interactive overtemperature time ratio of the overtemperature duration period is monitored by the interactive reminding module.
As a further scheme of the invention: and the AI glasses interaction speed behavior value of the over-temperature subunit is the product of the AI glasses visual recognition speed and the AI glasses response output speed.
As a further scheme of the invention: the AI interactive intelligent glasses comprise an interactive system of the AI interactive intelligent glasses, and the AI interactive intelligent glasses are used for executing the interactive system of the AI interactive intelligent glasses.
The invention has the beneficial effects that:
(1) According to the invention, based on an AI (advanced technology) glasses temperature disqualification signal, heating time is taken as an analysis object, the temperature behavior of the AI glasses is judged, namely, an overtemperature time duration abnormal value is obtained by processing the time duration of the heating of the AI glasses, the identification of the temperature regulation behavior of the AI glasses after the use of the heating is completed, an ultra Wen Yidong unstable signal and an ultra Wen Yidong stable signal are obtained according to the identification result, and based on the ultra Wen Yidong unstable signal, the factors of the unstable temperature adjustment of the AI glasses are analyzed, including the continuous interaction time, the interaction state, the heat dissipation equipment and the like of the AI glasses are analyzed, so that the intelligent management and control of the AI glasses after the heating is realized;
(2) According to the method, the post-interaction duration in a plurality of overtemperature duration time periods is obtained, the post-interaction duration time period and the duration of the overtemperature duration time period are subjected to data processing to obtain the interaction overtemperature Wen Fang difference value of each overtemperature duration time period, variance calculation is carried out on the plurality of overtemperature duration time periods, if the obtained variance is large, the fact that the fluctuation of different overtemperature duration time periods is large indicates that the influence deviation of interaction overtemperature time difference is larger than that of interaction overtemperature time difference in each overtemperature duration time period, if the obtained variance is small, the fact that the fluctuation of different overtemperature duration time periods is small indicates that the influence degree of interaction overtemperature time difference in each overtemperature duration time period is approximately the same as that of interaction overtemperature time difference in each overtemperature duration time period, and identification of correlation signals of the overtemperature duration time period and the overtemperature duration time period is completed;
(3) According to the invention, based on the associated signals of the post-interaction time period and the overtemperature duration time period, the AI glasses interaction state value of the overtemperature duration time period is obtained, an AI glasses interaction state value curve is constructed in a plane coordinate system based on the AI glasses interaction state value, the AI glasses interaction state value curve and an AI glasses interaction state standard value line are compared, a qualified curve section in the AI glasses interaction process is obtained, the interaction overtemperature time ratios of different overtemperature duration time periods in the qualified curve section are sorted, a standard interval of the interaction overtemperature time period is obtained, the post-interaction time period of the AI glasses is taken as a reference, the time length of the post-interaction time period of the AI glasses is obtained, and the overtemperature duration time period is analyzed in the standard interval during the interaction, so that the AI glasses continue to operate under the condition of the sustainable interaction duration time, and the intelligent interaction effect of the AI glasses can be effectively ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow diagram of an interactive system of AI interactive smart glasses of the present invention;
FIG. 2 is a workflow diagram of an interactive system of the AI interactive smart glasses of the present invention;
fig. 3 is a signal processing flow chart associated with a post-interaction time period and an overtemperature duration period in an interaction system of the AI-interaction smart glasses of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-2, the invention discloses an interactive system of an AI interactive intelligent glasses, which comprises a temperature processing module;
the temperature processing module is used for acquiring the interaction temperature data of the AI glasses;
the interactive temperature data comprise AI eyeglass surface temperature data and AI eyeglass service time data;
The AI glasses surface temperature data comprises AI glasses pre-use temperature data and AI glasses post-use temperature data;
the AI glasses use time data is the time length from the temperature data monitoring time before the use of the AI glasses to the temperature data monitoring time when the AI glasses are used, and is recorded as the temperature change time;
It should be noted that: the temperature data before and after the use of the AI glasses can be obtained by monitoring the temperature sensor arranged in the AI glasses, and the temperature data on the surface of the AI glasses can be the temperature value of one monitoring point on the surface of the AI glasses (such as any monitoring point on the mirror surface of the AI glasses) or the average value of the temperature data values of a plurality of monitoring points on the surface of the AI glasses (such as the mirror surface of the AI glasses, the mirror frame of the AI glasses and the like);
Further, the larger the temperature data change after the use of the AI glasses is compared with the temperature data change before the use of the AI glasses, the larger the power consumption of the AI glasses is.
According to the interactive temperature data of the AI glasses, outputting a temperature characterization value of the AI glasses, judging the operation of the AI glasses, and generating an AI glasses temperature qualified signal and an AI glasses temperature unqualified signal;
In some embodiments, acquiring a real-time temperature value (AI glasses surface temperature data) of the AI glasses in use, and if the time that the real-time temperature value of the AI glasses in use is greater than the real-time temperature threshold exceeds a preset time length, recording the real-time temperature value of the AI glasses in use as a verification temperature value of the AI glasses;
acquiring the temperature change time length of the AI glasses;
the temperature change duration of the AI glasses is the time length from the start of the AI glasses to the corresponding time point of the verification temperature value of the AI glasses (the time point from the verification temperature value of the AI glasses to the start of the verification temperature value);
calculating the ratio of the effective temperature value of the AI glasses to the temperature change duration of the AI glasses to obtain a temperature characterization value of the AI glasses;
comparing the temperature characterization value of the AI glasses with a temperature characterization threshold of the AI glasses;
if the temperature representation value of the AI glasses is larger than or equal to the temperature representation threshold value of the AI glasses, generating an AI glasses temperature disqualification signal;
if the temperature representation value of the AI glasses is smaller than the temperature representation threshold value of the AI glasses, generating an AI glasses temperature qualification signal;
It should be noted that: the AI glasses temperature reject signal is indicative of: in the process of interactive use of the AI glasses, the temperature of the AI glasses is high, namely the high temperature of the AI glasses is formed in a short time and cannot be rapidly reduced, the AI glasses are easy to damage internal devices of the AI glasses when operated at a continuous high temperature, the normal use of the AI glasses is limited, and the qualified signals of the temperature of the AI glasses indicate that the temperature of the AI glasses is high in the process of interactive use of the AI glasses and is formed in a long time because the AI glasses continuously use for a long time to cause the heating of the AI glasses.
Example 2
Based on the above embodiment 1, the interactive system of the AI interactive intelligent glasses of the present invention further comprises an overtemperature evaluation module;
based on the temperature disqualification signal of the AI glasses, taking the heating time as an analysis object, and judging the temperature behavior of the AI glasses;
in some embodiments, presetting an analysis period, acquiring temperature duration data corresponding to an AI glasses temperature failure signal in the analysis period, wherein the temperature duration data is duration of a verification temperature value of the AI glasses, and recording the duration as an overtemperature duration period;
Performing variance calculation on the duration of all the overtemperature duration time periods in the analysis period to obtain overtemperature duration fluctuation values;
The overtemperature time length fluctuation value reflects the temperature control condition of the AI glasses after heating in the use state, the larger the overtemperature time length fluctuation value is, the larger the temperature control effect fluctuation of the AI glasses after heating is, the unstable the temperature control of the AI glasses is, the smaller the overtemperature time length fluctuation value is, the smaller the temperature control effect fluctuation of the AI glasses after heating is, and the temperature control of the AI glasses tends to be stable;
comparing the overtemperature time period fluctuation value with an overtemperature time period fluctuation threshold value;
If the overtemperature duration fluctuation value is greater than or equal to the overtemperature duration fluctuation threshold, generating an overtemperature Wen Yidong unstable signal;
If the overtemperature time duration fluctuation value is smaller than the Yu Chaowen time duration fluctuation threshold value, generating an overtemperature Wen Yidong stable signal;
It should be noted that: the super Wen Yidong unstable signals indicate that after the AI glasses generate heat in the use process, the interference degree of the AI glasses on the heat generation is large, the stable cooling of the AI glasses cannot be effectively realized, the fluctuation is large, the use state of the AI glasses is possibly unstable, the super Wen Yidong stable signals indicate that after the AI glasses generate heat in the use process, the interference degree of the AI glasses on the heat generation is basically the same, the stable cooling of the AI glasses can be effectively realized, the fluctuation is small, and the use state of the AI glasses is stable;
the technical scheme of the embodiment of the invention comprises the following steps: acquiring service time data and surface temperature data of the AI glasses, recording the temperature value of the AI glasses when the time of the real-time temperature value of the AI glasses is larger than the real-time temperature threshold value and exceeds the preset time as a verification temperature value of the AI glasses, processing the verification temperature value of the AI glasses and the corresponding service time data to obtain a temperature characterization value of the AI glasses, judging the working temperature of the AI glasses to obtain an AI glasses temperature disqualification signal and an AI glasses temperature qualification signal, judging the temperature behavior of the AI glasses based on the AI glasses temperature disqualification signal by taking the heating time as an analysis object, namely, processing the duration of heating of the AI glasses to obtain an overtemperature duration abnormal value, completing the identification of the temperature regulation behavior of the AI glasses after the use of heating, and obtaining an over Wen Yidong unstable signal and an over Wen Yidong stable signal according to the identification result;
Based on the unstable signal of the super Wen Yidong, the factors of unstable temperature adjustment of the AI glasses are analyzed, including the continuous interaction time, interaction state, heat dissipation equipment and the like of the AI glasses, so as to realize intelligent management and control of the AI glasses after heating.
Example 3
Based on the above embodiment 2, the interactive system of the AI interactive intelligent glasses of the present invention further includes an interactive identification module;
based on the unstable signal of the super Wen Yidong, acquiring interaction time data corresponding to each overtemperature duration time period, and carrying out relevance judgment on the interaction time data and the duration of the overtemperature duration time period;
Recording the continuous interaction time period of the AI glasses after the starting point time of each overtemperature duration time period as a post-interaction time period;
The duration of the post-interaction time period is recorded as the post-interaction duration;
processing the duration of the post-interaction and the duration of the overtemperature duration to obtain an interaction overtemperature time ratio and an interaction overtemperature Wen Shicha;
The interactive overtemperature time ratio acquisition process comprises the following steps:
Acquiring the duration of the overtemperature duration period and the post-interaction duration in the corresponding overtemperature duration period, and calculating the ratio of the post-interaction duration to the duration of the overtemperature duration period to obtain the interaction overtemperature time ratio;
the interactive overtemperature time difference acquisition process comprises the following steps:
Acquiring the duration of the overtemperature duration period and the post-interaction duration in the corresponding overtemperature duration period, and performing difference calculation on the duration of the overtemperature duration period and the post-interaction duration to obtain an interaction overtemperature Wen Shicha;
performing product calculation on the interaction overtemperature time ratio and the interaction overtemperature Wen Shicha to obtain an interaction overtemperature correlation value;
Performing variance calculation on the interactive overtemperature correlation values of all overtemperature duration time periods to obtain an interactive overtemperature Wen Fang difference value;
referring to FIG. 3, the interaction super Wen Fangcha value is compared to the interaction super Wen Fangcha threshold;
if the interaction overtemperature variance value is larger than or equal to the interaction overtemperature Wen Fangcha threshold, the influence of the post interaction duration on the overtemperature duration is different in different overtemperature duration periods, and an uncorrelated signal of the post interaction duration period and the overtemperature duration period is generated;
If the interaction super Wen Fangcha value is smaller than the interaction super Wen Fangcha threshold, the method indicates that the influence degree of the post-interaction duration on the super-temperature duration is the same in different super-temperature duration periods, and generates related signals of the post-interaction period and the super-temperature duration period.
The technical scheme of the embodiment is as follows: the method comprises the steps of obtaining post-interaction duration in a plurality of overtemperature duration time periods, carrying out data processing on the post-interaction duration time and the duration of the overtemperature duration time period, obtaining the interaction overtemperature ratio and interaction overtemperature Wen Shicha in each overtemperature duration time period, obtaining the interaction overtemperature Wen Fang difference value of each overtemperature duration time period, carrying out variance calculation on the plurality of overtemperature duration time periods, if the obtained variance is large, indicating that the fluctuation of different overtemperature duration time periods is large, indicating that the fluctuation of the interaction overtemperature ratio and the interaction overtemperature time difference is large, and if the obtained variance is small, indicating that the fluctuation of the different overtemperature duration time periods is small, indicating that the interaction overtemperature ratio and the interaction overtemperature time difference are approximately the same.
Example 4
Based on the above embodiment 3, the AI interaction intelligent glasses and the interaction system thereof of the present invention further include a dynamic analysis module;
Based on the related signals of the post-interaction time period and the overtemperature duration time period, acquiring an AI glasses interaction state value of each overtemperature duration time period, and completing the regulation and control of the AI glasses interaction overtemperature time ratio;
in some embodiments, the AI glasses interaction state value acquisition process is:
dividing each overtemperature duration period into a plurality of overtemperature subunits, and acquiring an AI glasses interaction speed behavior value of each overtemperature subunit;
processing the AI glasses interaction speed behavior values of all the over-temperature subunits to obtain AI glasses interaction state values of the over-temperature duration time period;
the AI glasses interaction speed behavior value of the overtemperature subunit is the product of the AI glasses visual recognition speed and the AI glasses response output speed;
the visual recognition speed of the AI glasses is the speed of the AI glasses for analyzing and recognizing visual input;
The AI-glasses respond to the output speed being the speed at which the AI-glasses convert the processing results into a perceptible form (e.g., sound, image, or text) and present it to the user.
The processing process of the AI glasses interaction speed behavior value of the overtemperature subunit is as follows:
AI glasses interaction speed behavior values of the super-temperature subunits are recorded as Vi, i is the number of the super-temperature subunits, i=1, 2, & gt, vi;
The method comprises the steps of (1) sorting the AI glasses interaction speed behavior values of each overtemperature subunit in an overtemperature duration period to obtain AI glasses interaction speed behavior value groups V1, V2, V3, & gt, vi;
According to the formula Calculating to obtain a standard deviation Va of an AI glasses interaction speed behavior value group, wherein Vp is an average value of deviation quantity groups V1, V2, V3 and V;
And deleting the maximum value and/or the minimum value in the data of the AI glasses interaction speed behavior value group if the standard deviation Va of the AI glasses interaction speed behavior value group is greater than or equal to the standard deviation preset value Vy, and calculating the standard deviation Va of the data of the AI glasses interaction speed behavior value group again until Va is smaller than the standard deviation preset value Vy, and summing the residual data in the AI glasses interaction speed behavior value group to obtain an average value to obtain the AI glasses interaction state value in the overtemperature duration period.
Establishing a plane coordinate system, taking the overtemperature duration period as an X axis, and taking an AI glasses interaction state value corresponding to the overtemperature duration period as a Y axis;
in a plane coordinate system, marking the AI glasses interaction state values of each overtemperature duration period in a preset period in the plane coordinate system according to the sequence from large to small;
connecting points corresponding to the AI glasses interaction state values of all the overtemperature duration time periods from left to right in a plane coordinate system to obtain an AI glasses interaction state value curve with the whole state inclined downwards;
An AI glasses interaction state standard value line parallel to the X axis is constructed by using the AI glasses interaction state standard value in a plane coordinate system;
The AI glasses interaction state standard value is an experience value, and is defined and obtained by a worker according to the use state of the AI glasses;
Marking a curve part of the AI glasses interaction state value curve, which is positioned on the AI glasses interaction state standard value line and is divided, and marking the curve part as a qualified curve section;
Acquiring the interactive overtemperature time ratio of each overtemperature duration time period in the qualified curve section, and obtaining an interactive overtemperature time ratio standard group;
obtaining the maximum value in the comparison standard group when the interaction overtemperature is performed, and marking as JHmax;
obtaining the minimum value in the comparison standard group when the interaction overtemperature is performed, and marking as JHmin;
Thereby obtaining the interactive overtemperature time ratio standard interval [ JHmin, JHmax ] of the overtemperature duration period;
The method comprises the steps that the obtained interactive overtemperature time ratio standard interval of the overtemperature duration period is sent to an interactive reminding module, so that the interactive overtemperature time ratio of the overtemperature duration period is monitored by the interactive reminding module, and when the interactive overtemperature time ratio of the overtemperature duration period exceeds the interactive overtemperature time ratio standard interval in the use process of the AI glasses, reminding is sent, and the condition that the interaction effect of the AI glasses is not ideal is prevented;
it should be noted that: based on the interaction overtemperature time of the overtemperature duration time period, the time length of the rear interaction time period of the AI glasses can be obtained in real time, and the sustainable interaction time length of the overtemperature duration time period in a state that the AI glasses interaction state value is qualified is analyzed according to the time length of the rear interaction time period, so that the AI glasses continue to operate under the condition of the sustainable interaction time length, and the intelligent interaction effect of the AI glasses can be effectively ensured;
The technical scheme of the embodiment is as follows: dividing the overtemperature duration period into a plurality of overtemperature subunits based on related signals of the post-interaction time period and the overtemperature duration period, processing the AI glasses interaction speed behavior value in the overtemperature subunits as the AI glasses visual recognition speed to obtain the AI glasses interaction speed behavior value of the overtemperature subunits, further obtaining the AI glasses interaction state value of the overtemperature duration period, constructing an AI glasses interaction state value curve in a plane coordinate system based on the AI glasses interaction state value, comparing the AI glasses interaction state value curve with an AI glasses interaction state standard value line to obtain a qualified curve section in the interaction process of the AI glasses, and finishing the interaction overtemperature time ratio of different overtemperature duration periods in the synthetic curve section to obtain an interaction overtemperature time ratio standard section;
and the rear interaction time period of the AI glasses is taken as a reference, and the time length of the rear interaction time period of the AI glasses is acquired, so that the sustainable interaction time length of the overtemperature duration period is analyzed in the standard interval than the overtemperature duration period of the interaction, and the AI glasses continue to operate under the condition of the sustainable interaction time length, thereby effectively ensuring the intelligent interaction effect of the AI glasses.
Example 5
The embodiment provides an AI (advanced technology attachment) interaction intelligent glasses, which comprise the interaction system of the AI interaction intelligent glasses in the embodiment.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (7)
1. An interactive system of AI interactive smart glasses, comprising:
The temperature processing module is used for acquiring interactive temperature data of the AI glasses;
According to the interactive temperature data of the AI glasses, processing to obtain a temperature characterization value of the AI glasses, judging the operation of the AI glasses, and generating an AI glasses temperature qualified signal and an AI glasses temperature unqualified signal;
The overtemperature evaluation module is used for obtaining an overtemperature duration time period by taking heating time as an analysis object based on the temperature disqualification signal of the AI glasses, and processing the overtemperature duration time period of the AI glasses to generate an overtemperature Wen Yidong unstable signal and an overtemperature Wen Yidong stable signal;
the interaction identification module is used for acquiring interaction time data corresponding to each overtemperature duration time period based on the unstable signals of the super Wen Yidong, and carrying out relevance judgment on the interaction time data and the duration of the overtemperature duration time period to obtain related signals of the post-interaction time period and the overtemperature duration time period;
The dynamic analysis module acquires an AI glasses interaction state value of the overtemperature duration period based on the related signals of the post-interaction time period and the overtemperature duration period, constructs an interaction overtemperature time ratio standard interval of the overtemperature duration period based on the AI glasses interaction state value, and completes regulation and control of the interaction overtemperature time ratio of the AI glasses;
acquiring a real-time temperature value of the AI glasses in use, and if the time that the real-time temperature value of the AI glasses is larger than the real-time temperature threshold exceeds a preset time length, recording the real-time temperature value of the AI glasses in use as a verification temperature value of the AI glasses;
calculating the ratio of the effective temperature value of the AI glasses to the temperature change duration of the AI glasses to obtain a temperature characterization value of the AI glasses;
if the temperature representation value of the AI glasses is larger than or equal to the temperature representation threshold value of the AI glasses, generating an AI glasses temperature disqualification signal;
if the temperature representation value of the AI glasses is smaller than the temperature representation threshold value of the AI glasses, generating an AI glasses temperature qualification signal;
Presetting an analysis period, acquiring temperature continuous data corresponding to an AI (advanced technology attachment) glasses temperature disqualification signal in the analysis period, wherein the temperature continuous data is the duration of a verification temperature value of the AI glasses, and recording the duration as an overtemperature duration period;
Performing variance calculation on the duration of all the overtemperature duration time periods in the analysis period to obtain overtemperature duration fluctuation values;
If the overtemperature duration fluctuation value is greater than or equal to the overtemperature duration fluctuation threshold, generating an overtemperature Wen Yidong unstable signal;
If the overtemperature time duration fluctuation value is smaller than the Yu Chaowen time duration fluctuation threshold value, generating an overtemperature Wen Yidong stable signal;
Based on the super Wen Yidong unstable signals, recording the continuous interaction time period of the AI glasses after the starting point time of each overtemperature duration time period as a post interaction time period;
processing the duration of the post-interaction and the duration of the overtemperature duration of the post-interaction time period to obtain an interaction overtemperature time ratio and an interaction overtemperature Wen Shicha;
performing product calculation on the interaction overtemperature time ratio and the interaction overtemperature Wen Shicha to obtain an interaction overtemperature correlation value;
If the interaction overtemperature variance value is larger than or equal to the interaction overtemperature Wen Fangcha threshold, generating an uncorrelated signal of the post-interaction time period and the overtemperature duration time period;
if the interaction super Wen Fangcha value is smaller than the interaction super Wen Fangcha threshold, generating a related signal of the post-interaction time period and the super-temperature duration time period.
2. The interactive system of AI-interactive smart glasses according to claim 1, wherein the interactive overtemperature time ratio is a ratio of a duration of the post-interaction to a duration of the overtemperature time period;
The interaction super Wen Shicha is the difference between the duration of the over-temperature duration and the post-interaction duration.
3. The interactive system of the AI interactive intelligent glasses according to claim 1, wherein each overtemperature duration period is divided into a plurality of overtemperature subunits, and an AI glasses interaction speed behavior value of each overtemperature subunit is obtained;
And processing the AI glasses interaction speed behavior values of all the over-temperature subunits to obtain the AI glasses interaction state value of the over-temperature duration time period.
4. The interactive system of the AI-interactive intelligent glasses according to claim 3, wherein a plane coordinate system is established, the overtemperature duration period is taken as an X axis, and the AI-interactive state value corresponding to the overtemperature duration period is taken as a Y axis;
The AI glasses interaction state values of each overtemperature duration period in a preset period are connected in parallel at the internal standard points of the plane coordinate system according to the sequence from big to small, and an AI glasses interaction state value curve is constructed;
An AI glasses interaction state standard value line parallel to the X axis is built in a plane coordinate system by using the AI glasses interaction state standard value;
and marking the curve part of the AI glasses interaction state value curve, which is positioned on the AI glasses interaction state standard value line, and marking the curve part as a qualified curve section.
5. The interactive system of the AI interactive intelligent glasses according to claim 4, wherein the interactive overtemperature time ratio of each overtemperature duration period in the qualified curve section is obtained to obtain an interactive overtemperature time ratio standard group;
obtaining the maximum value in the comparison standard group when the interaction overtemperature is performed, and marking as JHmax;
obtaining the minimum value in the comparison standard group when the interaction overtemperature is performed, and marking as JHmin;
obtaining the interactive overtemperature of the overtemperature duration period, wherein the interactive overtemperature duration period is longer than the standard interval [ JHmin, JHmax ];
And sending the obtained interactive overtemperature time ratio standard interval of the overtemperature duration period to an interactive reminding module, so that the interactive overtemperature time ratio of the overtemperature duration period is monitored by the interactive reminding module.
6. The interactive system of claim 5, wherein the AI glasses interaction speed behavior value of the over-temperature subunit is a product of AI glasses visual recognition speed and AI glasses response output speed.
7. An AI-interactive smart glasses, comprising an interactive system of AI-interactive smart glasses according to any of claims 1-6, the AI-interactive smart glasses being adapted to execute the interactive system of AI-interactive smart glasses.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410720453.5A CN118312396B (en) | 2024-06-05 | 2024-06-05 | AI interaction intelligent glasses and interaction system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410720453.5A CN118312396B (en) | 2024-06-05 | 2024-06-05 | AI interaction intelligent glasses and interaction system thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118312396A CN118312396A (en) | 2024-07-09 |
| CN118312396B true CN118312396B (en) | 2024-08-27 |
Family
ID=91724829
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410720453.5A Active CN118312396B (en) | 2024-06-05 | 2024-06-05 | AI interaction intelligent glasses and interaction system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118312396B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104808776A (en) * | 2014-01-24 | 2015-07-29 | 北京奇虎科技有限公司 | Device and method for detecting continuous attaching of head-wearing intelligent device on human body |
| CN118134266A (en) * | 2024-05-08 | 2024-06-04 | 国网山东省电力公司巨野县供电公司 | A method and system for detecting anomaly in power grid power data based on big data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10791938B2 (en) * | 2015-06-14 | 2020-10-06 | Facense Ltd. | Smartglasses for detecting congestive heart failure |
| CN107317916B (en) * | 2017-05-26 | 2019-09-10 | Oppo广东移动通信有限公司 | Application control methods and related products |
-
2024
- 2024-06-05 CN CN202410720453.5A patent/CN118312396B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104808776A (en) * | 2014-01-24 | 2015-07-29 | 北京奇虎科技有限公司 | Device and method for detecting continuous attaching of head-wearing intelligent device on human body |
| CN118134266A (en) * | 2024-05-08 | 2024-06-04 | 国网山东省电力公司巨野县供电公司 | A method and system for detecting anomaly in power grid power data based on big data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118312396A (en) | 2024-07-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102890776B (en) | The method that expression figure explanation is transferred by facial expression | |
| CN109035246A (en) | A kind of image-selecting method and device of face | |
| CN115346082A (en) | Image generation method, image generation device, storage medium and electronic device | |
| CN106611151A (en) | A human face identification method and apparatus | |
| CN118246712B (en) | Intelligent analysis system and method for pig farm production based on large language model | |
| CN117933549A (en) | Enterprise power consumption data processing method and system based on power threshold calculation algorithm | |
| CN111368867A (en) | Archive classification method and system and computer readable storage medium | |
| CN118039135B (en) | Health monitoring data processing method and system based on machine learning | |
| CN102890777A (en) | Computer system capable of identifying facial expressions | |
| CN118536158A (en) | A deep learning-based adaptive data encryption method, device and medium | |
| CN118312396B (en) | AI interaction intelligent glasses and interaction system thereof | |
| CN112836807A (en) | Data processing method and device based on neural network | |
| CN109345184B (en) | Node information processing method and device based on micro-expressions, computer equipment and storage medium | |
| CN120598540A (en) | A digital management and control platform based on the Internet of Things and big data | |
| CN120491836A (en) | Device control method, device, electronic device and computer readable storage medium | |
| CN117406844B (en) | Display card fan control method and related device based on neural network | |
| CN118011924B (en) | Industrial Internet data processing method and system based on big data | |
| CN114360014B (en) | Face recognition method, device, electronic device and storage medium | |
| US20260011063A1 (en) | Facial expression simulation method and apparatus, device, and storage medium | |
| CN112380369A (en) | Training method, device, equipment and storage medium of image retrieval model | |
| CN116233480A (en) | Method, system and storage medium for determining live shopping style based on live broadcast data | |
| CN118659481A (en) | BMS battery energy storage management method and system based on micro-grid system | |
| Yu et al. | Deep metric learning with dynamic margin hard sampling loss | |
| CN116597286B (en) | Image recognition self-adaptive learning method and system based on deep learning | |
| CN110569714A (en) | Method, server, and computer-readable storage medium for acquiring user satisfaction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |