CN114554167B - Intelligent holographic projection system based on big data - Google Patents
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- CN114554167B CN114554167B CN202210158381.0A CN202210158381A CN114554167B CN 114554167 B CN114554167 B CN 114554167B CN 202210158381 A CN202210158381 A CN 202210158381A CN 114554167 B CN114554167 B CN 114554167B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3141—Constructional details thereof
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B35/00—Stereoscopic photography
- G03B35/18—Stereoscopic photography by simultaneous viewing
- G03B35/22—Stereoscopic photography by simultaneous viewing using single projector with stereoscopic-base-defining system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention discloses an intelligent holographic projection system based on big data, which belongs to the field of big data and is used for solving the problems that a holographic projection technology cannot set matched projection parameters according to user use data and cannot intelligently adjust the projection parameters of holographic projection by combining environments; the projection setting module extracts projection habit data in a user projection package, and the projection setting module sets the holographic projection system according to the projection habit data; the intelligent start-stop module is used for intelligently controlling the start-stop time of the holographic projection system; the environment allocation module is used for allocating the working environment of the holographic projection system, the invention is convenient for setting the matched projection parameters according to the user use data, and the projection parameters of the holographic projection are intelligently adjusted by combining the environment data.
Description
Technical Field
The invention belongs to the field of big data, relates to a holographic projection technology, and particularly relates to an intelligent holographic projection system based on big data.
Background
The holographic projection technology belongs to one of 3D technologies, and originally refers to a technology for recording and reproducing a real three-dimensional image of an object by utilizing an interference principle. Then, along with the guidance of science fiction movies and commercial propaganda, the concept of holographic projection is gradually extended to commercial activities such as stage performance, exhibition show and the like. However, the hologram which we know at ordinary times is often not a strict holographic projection, but a kind of holographic projection technology which uses pepper's ghost, edge blanking and other methods to achieve 3D effect.
In the prior art, the current holographic projection technology cannot set the matched projection height, projection brightness and the like according to the use data of a user, and meanwhile, the current holographic projection technology does not combine with external environment data and cannot intelligently adjust the projection parameters of holographic projection by combining with the environment, so that the best viewing effect is achieved, and therefore, an intelligent holographic projection system based on big data is provided.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide an intelligent holographic projection system based on big data.
The technical problems to be solved by the invention are as follows:
(1) How the holographic projection technology sets the matched projection parameters according to the use data of the user;
(2) How the holographic projection technology can intelligently adjust the projection parameters of the holographic projection by combining external environment data.
The aim of the invention can be achieved by the following technical scheme:
the intelligent holographic projection system based on big data comprises a data acquisition module, an intelligent opening and closing module, an environment allocation module, a projection setting module, a personnel identification module, a plurality of user terminals and a server, wherein the data acquisition module is used for acquiring real-time facial images of users, real-time projection data and real-time projection environment data and sending the real-time projection environment data to the server; the user terminals are used for registering and logging in the holographic projection system after personal information is input by using a person, and sending the personal information and preset projection habit data to a server, wherein the server integrates and packages the personal information and the preset projection habit data into a user projection package;
when a user uses the holographic projection system, the server sends a real-time facial image of the user and a plurality of user projection packages to a personnel identification module, the personnel identification module is used for identifying the user of the holographic projection, an identification failure signal is generated by identification or an identification success signal is generated and fed back to the server, if the server receives the identification success signal, the server controls the holographic projection system to start, the server sends the corresponding user projection packages to a projection setting module according to the identification success signal, and if the server receives the identification failure signal, the server does not perform any operation;
the projection setting module extracts projection habit data in a user projection package, and the projection setting module sets the holographic projection system according to the projection habit data; the intelligent start-stop module is used for intelligently controlling the start-stop time of the holographic projection system, obtaining the intelligent start-up time and the intelligent stop time of the holographic projection system and sending the intelligent start-up time and the intelligent stop time to the server, and the server controls the holographic projection system to start-stop intelligently according to the intelligent start-up time and the intelligent stop time;
the data acquisition module is also used for acquiring preset projection environment data of the holographic projection system and sending the preset projection environment data to the server, the server sends the preset projection environment data and the real-time projection environment data to the environment allocation module, and the environment allocation module is used for allocating the working environment of the holographic projection system, generating an environment normal signal, an environment allocation signal or an environment abnormal signal and feeding back the environment normal signal, the environment allocation signal or the environment abnormal signal to the server.
Further, the real-time projection environment data comprise the real-time projection environment temperature, the real-time projection environment humidity and the real-time projection environment brightness of the place where the holographic projection system is located; the real-time projection data comprises real-time projection height and real-time projection brightness; the personal information comprises the name, the mobile phone number and a preset face image of the user; the preset projection habit data comprises preset projection height and preset projection brightness; the preset projection environment data comprises preset projection environment temperature, preset projection environment humidity and preset projection environment brightness of the holographic projection system.
Further, the identification process of the personnel identification module is specifically as follows:
step one: acquiring real-time facial features of a user according to the real-time facial images, and extracting preset facial images in a plurality of user projection packages to obtain the preset facial features;
step two: comparing the distance between two ears in the preset facial features with the distance between two ears in the preset facial features, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step three: comparing the inner and outer distances between the two eyes in the preset facial feature with the inner and outer distances between the two eyes in the preset facial feature, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step four: comparing the mouth angle interval in the preset facial feature with the mouth angle interval in the preset facial feature, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step five: and comparing the nose bridge length in the preset facial features with the nose bridge length in the preset facial features, if the comparison is passed, generating a recognition success signal, and if the comparison is not passed, generating a recognition failure signal.
Further, the working process of the projection setting module specifically comprises the following steps:
acquiring a preset projection height and preset projection brightness in preset projection habit data, and then acquiring a real-time projection height and real-time projection brightness in real-time projection data;
calculating a difference value between the preset projection height and the real-time projection height, adding the preset projection height and the real-time projection height to obtain an average value to obtain the current projection height if the difference value is within a preset range, and adjusting the real-time projection height to the preset projection height if the difference value is not within the preset range;
calculating a difference value between the preset projection brightness and the real-time projection brightness, adding the preset projection brightness and the real-time projection brightness to obtain an average value to obtain the current projection brightness if the difference value is within a preset range, and adjusting the real-time projection brightness to the preset projection brightness if the difference value is not within the preset range.
Further, the working process of the intelligent start-stop module is specifically as follows:
step S1: acquiring a user of the holographic projection coefficient, and marking the user as u, u=1, 2, … …, x, x being a positive integer; acquiring the opening time of each user using the holographic projection coefficient, and marking the opening time as KQu;
step S2: acquiring the closing time of each user using the holographic projection coefficient, and marking the closing time as GBu;
step S3: performing traversal comparison on the opening time and the closing time of each user to obtain the earliest opening time KQmin and the latest closing time GBmax of the user;
step S4: recording the earliest starting time of a user as the intelligent starting time of the holographic projection system;
step S5: the latest closing time of the user is recorded as the intelligent closing time of the holographic projection system.
Further, the environment allocation module comprises the following allocation steps:
step SS1: acquiring a preset projection environment temperature YWD, a preset projection environment humidity YSD and a preset projection environment brightness YLD of the holographic projection system;
then acquiring the real-time projection environment temperature HWD, the real-time projection environment humidity HSD and the real-time projection environment brightness HLD of the place where the holographic projection system is located;
step SS2: comparing the preset projection environment temperature with the real-time projection environment temperature, if the preset projection environment temperature is less than or equal to the real-time projection environment temperature, not performing any operation, and if the preset projection environment temperature is greater than the real-time projection environment temperature, entering the next step;
step SS3: comparing the preset projection environment humidity with the real-time projection environment humidity, if the preset projection environment humidity is less than or equal to the real-time projection environment humidity, not performing any operation, and if the preset projection environment humidity is greater than the real-time projection environment humidity, entering the next step;
step SS4: comparing the preset projection environment brightness with the real-time projection environment brightness, if the preset projection environment brightness is less than or equal to the real-time projection environment brightness, not performing any operation, and if the preset projection environment brightness is greater than the real-time projection environment brightness, entering the next step;
step SS5: calculating a difference value between a preset projection environment temperature and a real-time projection environment temperature to obtain a projection temperature difference TWC, obtaining a projection humidity difference TSC by a difference value between a preset projection environment humidity and a real-time projection environment humidity, and obtaining a projection brightness difference TLC by a difference value between a preset projection environment brightness and a real-time projection environment brightness;
step SS6: substituting the projection temperature difference TWC, the projection humidity difference TSC and the projection brightness difference TLC into a calculation formula to calculate an environment adjustment value HT of the hologram system, wherein the formula is specifically as follows:
step SS7: if HT is less than X1, generating an environment normal signal;
if X1 is less than or equal to HT and less than X2, generating an environment allocation signal;
if X2 is less than or equal to HT, generating an environment abnormality signal; wherein X1 and X2 are environmental deployment thresholds, and X1 is less than X2.
Further, if the environment normal signal is received, the server does not perform any operation, if the environment allocation signal is received, the server adjusts the real-time projection environment temperature, the real-time projection environment humidity and the real-time projection environment brightness of the location of the holographic projection system according to the environment allocation signal, and if the environment abnormal signal is received, the server controls the holographic projection system to stop working.
Further, the real-time facial features include a distance between two ears, a distance between two eyes inside and outside, a distance between mouth corners, and a length of a nose bridge, and the preset facial features include a distance between two ears, a distance between two eyes inside and outside, a distance between mouth corners, and a length of a nose bridge.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention carries on recognition to the holographic projection user through the personnel recognition module, produce and discern the failure signal or discern the success signal, send the correspondent user's projection package to the projection setting module after producing and discern the success signal, the projection setting module presumes the holographic projection system according to the custom data of projection, the invention facilitates the holographic projection technology to presume the matched projection parameter according to the user's use data;
2. the invention prepares the working environment of the holographic projection system through an environment preparation module, obtains various differences of the projection environment according to the preset projection environment data and the real-time projection environment data of the holographic projection system, obtains the environment preparation value of the holographic image system through various environment differences, generates an environment normal signal, an environment preparation signal or an environment abnormal signal after the environment preparation value is compared with a set threshold value, and carries out environment adjustment on the holographic projection system according to the signal;
3. the intelligent starting and closing time of the holographic projection system is obtained by intelligently controlling the starting and closing time of the holographic projection system through the intelligent starting and closing module and combining the earliest starting time and the latest closing time of a user.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is an overall system block diagram of the present invention;
fig. 2 is a system block diagram of a data acquisition module in the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention for achieving the intended purpose, the following detailed description will refer to the specific implementation, structure, characteristics and effects according to the present invention with reference to the accompanying drawings and preferred embodiments.
1-2, an intelligent holographic projection system based on big data comprises a data acquisition module, an intelligent start-stop module, an environment allocation module, a projection setting module, a personnel identification module, a plurality of user terminals and a server;
the data acquisition module is used for acquiring the real-time face image, the real-time projection data and the real-time projection environment data of the user, and sending the real-time face image, the real-time projection data and the real-time projection environment data to the server;
as shown in fig. 2, in the implementation, the data acquisition module includes a temperature acquisition unit, a humidity acquisition unit, a brightness acquisition unit, a real-time positioning unit and a time recording unit, where the real-time positioning unit is used for positioning the location of the holographic projection system and sending the location of the holographic projection system to the server, the temperature acquisition unit is used for acquiring the real-time environmental temperature of the location of the holographic projection system and sending the real-time environmental temperature to the server, the humidity acquisition unit is used for acquiring the real-time environmental humidity of the location of the holographic projection system and sending the real-time environmental humidity to the server, the brightness acquisition unit is used for acquiring the real-time environmental brightness of the location of the holographic projection system and sending the real-time environmental brightness to the server, and the time recording unit is used for recording the on time and the off time of the holographic projection system and sending the on time and the off time to the server;
the data acquisition module is specifically a temperature sensor, a humidity sensor, a brightness sensor, a GPS (global positioning system) positioning instrument and a timer which can be used for holographic projection system location or holographic projection coefficient;
the real-time projection environment data comprise real-time projection environment temperature, real-time projection environment humidity, real-time projection environment brightness and the like of the place where the holographic projection system is located, and the real-time projection data comprise real-time projection height, real-time projection brightness and the like;
the user terminals are used for registering and logging in the holographic projection system after personal information is input by using a person, and sending the personal information and preset projection habit data to a server, wherein the server integrates and packages the personal information and the preset projection habit data into a user projection package;
the personal information comprises the name, the mobile phone number, a preset face image and the like of the user; the preset projection habit data comprise preset projection height, preset projection brightness and the like;
when a user uses the holographic projection system, the server sends the real-time face image of the user and a plurality of user projection packages to a person recognition module, and the person recognition module is used for recognizing the user of the holographic projection, and the recognition process is specifically as follows:
step one: acquiring real-time facial features of a user according to the real-time facial images, and extracting preset facial images in a plurality of user projection packages to obtain the preset facial features;
the real-time facial features comprise a distance between two ears, a distance between two eyes inside and outside, a distance between mouth corners, a length of a nose bridge and the like, and the preset facial features comprise a distance between two ears, a distance between two eyes inside and outside, a distance between mouth corners, a length of a nose bridge and the like;
step two: comparing the distance between two ears in the preset facial features with the distance between two ears in the preset facial features, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step three: comparing the inner and outer distances between the two eyes in the preset facial feature with the inner and outer distances between the two eyes in the preset facial feature, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step four: comparing the mouth angle interval in the preset facial feature with the mouth angle interval in the preset facial feature, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step five: comparing the nose bridge length in the preset facial features with the nose bridge length in the preset facial features, generating a recognition success signal if the comparison is passed, and generating a recognition failure signal if the comparison is not passed;
the personnel identification module feeds back an identification success signal and an identification failure signal to the server, if the server receives the identification success signal, the server controls the holographic projection system to start, and meanwhile, the server sends a corresponding user projection packet to the projection setting module according to the identification success signal, and if the server receives the identification failure signal, the server does not perform any operation;
after the projection setting module receives the user projection package, the projection setting module extracts projection habit data in the user projection package, and the projection setting module sets the holographic projection system according to the projection habit data, specifically:
acquiring a preset projection height and preset projection brightness in preset projection habit data, and then acquiring a real-time projection height and real-time projection brightness in real-time projection data;
calculating a difference value between the preset projection height and the real-time projection height, adding the preset projection height and the real-time projection height to obtain an average value to obtain the current projection height if the difference value is within a preset range, and adjusting the real-time projection height to the preset projection height if the difference value is not within the preset range;
similarly, calculating a difference value between the preset projection brightness and the real-time projection brightness, adding the preset projection brightness and the real-time projection brightness to obtain an average value to obtain the current projection brightness if the difference value is within a preset range, and adjusting the real-time projection brightness to the preset projection brightness if the difference value is not within the preset range;
the intelligent start-stop module is used for intelligently controlling the start-stop time of the holographic projection system, and the working process is specifically as follows:
step S1: acquiring a user of the holographic projection coefficient, and marking the user as u, u=1, 2, … …, x, x being a positive integer; acquiring the opening time of each user using the holographic projection coefficient, and marking the opening time as KQu;
step S2: acquiring the closing time of each user using the holographic projection coefficient, and marking the closing time as GBu;
step S3: performing traversal comparison on the opening time and the closing time of each user to obtain the earliest opening time KQmin and the latest closing time GBmax of the user;
step S4: recording the earliest starting time of a user as the intelligent starting time of the holographic projection system;
step S5: recording the latest closing time of a user as the intelligent closing time of the holographic projection system;
the intelligent start-stop module sends the intelligent start time or the intelligent stop time to the server, and the server controls the holographic projection system to start-stop intelligently according to the intelligent start time and the intelligent stop time;
when in actual use, the data acquisition module is further used for acquiring preset projection environment data of the holographic projection system and sending the preset projection environment data to the server, wherein the preset projection environment data comprises preset projection environment temperature, preset projection environment humidity and preset projection environment brightness of the holographic projection system, the server sends the preset projection environment data and the real-time projection environment data to the environment allocation module, the environment allocation module is used for allocating the working environment of the holographic projection system, and the allocation steps are as follows:
step SS1: acquiring a preset projection environment temperature YWD, a preset projection environment humidity YSD and a preset projection environment brightness YLD of the holographic projection system;
then acquiring the real-time projection environment temperature HWD, the real-time projection environment humidity HSD and the real-time projection environment brightness HLD of the place where the holographic projection system is located;
step SS2: comparing the preset projection environment temperature with the real-time projection environment temperature, if the preset projection environment temperature is less than or equal to the real-time projection environment temperature, not performing any operation, and if the preset projection environment temperature is greater than the real-time projection environment temperature, entering the next step;
step SS3: comparing the preset projection environment humidity with the real-time projection environment humidity, if the preset projection environment humidity is less than or equal to the real-time projection environment humidity, not performing any operation, and if the preset projection environment humidity is greater than the real-time projection environment humidity, entering the next step;
step SS4: comparing the preset projection environment brightness with the real-time projection environment brightness, if the preset projection environment brightness is less than or equal to the real-time projection environment brightness, not performing any operation, and if the preset projection environment brightness is greater than the real-time projection environment brightness, entering the next step;
step SS5: calculating a difference value between a preset projection environment temperature and a real-time projection environment temperature to obtain a projection temperature difference TWC, obtaining a projection humidity difference TSC by a difference value between a preset projection environment humidity and a real-time projection environment humidity, and obtaining a projection brightness difference TLC by a difference value between a preset projection environment brightness and a real-time projection environment brightness;
step SS6: substituting the projection temperature difference TWC, the projection humidity difference TSC and the projection brightness difference TLC into a calculation formula to calculate an environment adjustment value HT of the hologram system, wherein the formula is specifically as follows:
step SS7: if HT is less than X1, generating an environment normal signal;
if X1 is less than or equal to HT and less than X2, generating an environment allocation signal;
if X2 is less than or equal to HT, generating an environment abnormality signal; wherein X1 and X2 are environmental allocation thresholds, and X1 is less than X2;
the environment allocation module feeds back an environment normal signal, an environment allocation signal or an environment abnormal signal to the server, if the environment normal signal is received, the server does not perform any operation, if the environment allocation signal is received, the server adjusts the real-time projection environment temperature, the real-time projection environment humidity and the real-time projection environment brightness of the location of the holographic projection system according to the environment allocation signal, and if the environment abnormal signal is received, the server controls the holographic projection system to stop working.
When the intelligent holographic projection system based on big data works, the real-time face image, the real-time projection data and the real-time projection environment data of a user are collected through the data collection module, and the real-time face image, the real-time projection data and the real-time projection environment data are sent to the server;
meanwhile, a user registers and logs in the holographic projection system after inputting personal information through a user terminal, and sends the personal information and preset projection habit data to a server, the server integrates and packages the personal information and the preset projection habit data into a user projection package, and when the user uses the holographic projection system, the server sends a real-time face image of the user and a plurality of user projection packages to a person identification module;
the method comprises the steps that a person identification module is used for identifying a user of holographic projection, real-time facial features of the user are obtained according to the real-time facial images, preset facial images in a plurality of user projection packages are extracted, the preset facial features are obtained, the distance between two ears in the preset facial features is compared with the distance between two ears in the preset facial features, if the comparison is not passed, identification failure signals are generated, if the comparison is passed, the distance between the inner eyes and the outer eyes in the preset facial features is compared with the distance between the inner eyes and the outer eyes in the preset facial features, if the comparison is not passed, identification failure signals are generated, if the comparison is not passed, the distance between the mouth corners in the preset facial features and the mouth corners in the preset facial features is compared, if the comparison is not passed, identification failure signals are generated, if the comparison is not passed, the identification success signals and the identification failure signals are fed back to a server, if the identification failure signals are received by the server, and if the identification failure signals are received by the server, the server is controlled by the corresponding projection system, and the server is set to operate according to the identification failure signals;
the method comprises the steps that after a projection setting module receives a user projection package, the projection setting module extracts projection habit data in the user projection package, the projection setting module sets a holographic projection system according to the projection habit data, preset projection height and preset projection brightness in the preset projection habit data are obtained, then real-time projection height and real-time projection brightness in the real-time projection data are obtained, a difference value between the preset projection height and the real-time projection height is calculated, if the difference value is within a preset range, the preset projection height and the real-time projection height are added to average value to obtain the current projection height, if the difference value is not within the preset range, the real-time projection height is adjusted to the preset projection height, similarly, the difference value between the preset projection brightness and the real-time projection brightness is calculated, if the difference value is within the preset range, the preset projection brightness and the real-time projection brightness are added to average value to obtain the current projection brightness, and if the difference value is not within the preset range, the real-time projection brightness is adjusted to the preset projection brightness;
the method comprises the steps that the starting and stopping time of a holographic projection system is intelligently controlled through an intelligent starting and stopping module, a user of the holographic projection system is obtained, then the starting time KQu and the stopping time GBu of each user using the holographic projection system are obtained, the starting time and the stopping time of each user are subjected to traversal comparison, the earliest starting time KQmin and the latest stopping time GBmax of the user are obtained, the earliest starting time of the user is recorded as the intelligent starting time of the holographic projection system, the latest stopping time of the user is recorded as the intelligent stopping time of the holographic projection system, the intelligent starting and stopping module sends the intelligent starting time or the intelligent stopping time to a server, and the server controls the intelligent starting and stopping of the holographic projection system according to the intelligent starting time and the intelligent stopping time;
in practical use, the data acquisition module is used for acquiring preset projection environment data of the holographic projection system and transmitting the preset projection environment data to the server, the server is used for transmitting the preset projection environment data and the real-time projection environment data to the environment allocation module, then the environment allocation module is used for allocating the working environment of the holographic projection system, the preset projection environment temperature YWD, the preset projection environment humidity YSD, the preset projection environment brightness YLD, the real-time projection environment temperature HWD, the real-time projection environment humidity HSD and the real-time projection environment brightness HLD of the holographic projection system are acquired, the preset projection environment temperature is compared with the real-time projection environment temperature, if the preset projection environment temperature is smaller than or equal to the real-time projection environment temperature, no operation is performed, if the preset projection environment temperature is larger than the real-time projection environment temperature, no operation is performed, if the preset projection environment humidity is larger than the real-time projection environment humidity, and if the preset projection environment humidity is smaller than the real-time projection environment humidity, no operation is performedIf the preset projection environment brightness is greater than the real-time projection environment brightness, calculating the difference between the preset projection environment temperature and the real-time projection environment temperature to obtain a projection temperature difference TWC, calculating the difference between the preset projection environment humidity and the real-time projection environment humidity to obtain a projection humidity difference TSC, calculating the difference between the preset projection environment brightness and the real-time projection environment brightness to obtain a projection brightness difference TLC, and substituting the projection temperature difference TWC, the projection humidity difference TSC and the projection brightness difference TLC into the calculation formula
Calculating to obtain an environment allocation value HT of the hologram system, generating an environment normal signal if HT is less than X1, generating an environment allocation signal if X1 is less than or equal to HT and less than or equal to X2, generating an environment abnormal signal if X2 is less than or equal to HT, feeding back the environment normal signal, the environment allocation signal or the environment abnormal signal to a server by an environment allocation module, if the environment normal signal is received, not performing any operation by the server, if the environment allocation signal is received, adjusting the real-time projection environment temperature, the real-time projection environment humidity and the real-time projection environment brightness of the location of the hologram system by the server according to the environment allocation signal, and if the environment abnormal signal is received, controlling the hologram projection system to stop working by the server.
The above formulas are all formulas for removing dimensions and taking numerical calculation, the formulas are formulas for acquiring a large amount of data and performing software simulation to obtain the latest real situation, and preset parameters in the formulas are set by a person skilled in the art according to the actual situation, such as the formulas:
collecting a projection temperature difference value, a projection humidity difference value and a projection brightness difference value by a person skilled in the art, setting corresponding proportion coefficients for the projection temperature difference value TWC, the projection humidity difference value TSC and the projection brightness difference value, substituting the set proportion coefficients and the collected projection temperature difference value, the projection humidity difference value and the projection brightness difference value into a formula, and calculating to obtain an environment adjustment value of the hologram shadow system, wherein the size of the proportion coefficients is a specific numerical value obtained by quantizing each parameter so as to facilitate the subsequent ratioIn contrast, the size of the coefficient may be such that the proportional relationship between the parameter and the quantized value is not affected.
The present invention is not limited to the above embodiments, but is not limited to the above embodiments, and any modifications, equivalents and variations made to the above embodiments according to the technical matter of the present invention can be made by those skilled in the art without departing from the scope of the technical matter of the present invention.
Claims (6)
1. The intelligent holographic projection system based on big data is characterized by comprising a data acquisition module, an intelligent start-stop module, an environment allocation module, a projection setting module, a personnel identification module, a plurality of user terminals and a server, wherein the data acquisition module is used for acquiring real-time facial images, real-time projection data and real-time projection environment data of users and sending the real-time facial images, the real-time projection data and the real-time projection environment data to the server; the user terminals are used for registering and logging in the holographic projection system after personal information is input by using a person, and sending the personal information and preset projection habit data to a server, wherein the server integrates and packages the personal information and the preset projection habit data into a user projection package;
when a user uses the holographic projection system, the server sends a real-time facial image of the user and a plurality of user projection packages to a personnel identification module, the personnel identification module is used for identifying the user of the holographic projection, an identification failure signal is generated by identification or an identification success signal is generated and fed back to the server, if the server receives the identification success signal, the server controls the holographic projection system to start, the server sends the corresponding user projection packages to a projection setting module according to the identification success signal, and if the server receives the identification failure signal, the server does not perform any operation;
the projection setting module extracts projection habit data in a user projection package, and the projection setting module sets the holographic projection system according to the projection habit data; the intelligent start-stop module is used for intelligently controlling the start-stop time of the holographic projection system, obtaining the intelligent start-up time and the intelligent stop time of the holographic projection system and sending the intelligent start-up time and the intelligent stop time to the server, and the server controls the holographic projection system to start-stop intelligently according to the intelligent start-up time and the intelligent stop time;
the data acquisition module is also used for acquiring preset projection environment data of the holographic projection system and sending the preset projection environment data to the server, the server sends the preset projection environment data and the real-time projection environment data to the environment allocation module, and the environment allocation module is used for allocating the working environment of the holographic projection system, wherein the allocation steps are as follows:
step SS1: acquiring a preset projection environment temperature YWD, a preset projection environment humidity YSD and a preset projection environment brightness YLD of the holographic projection system;
then acquiring the real-time projection environment temperature HWD, the real-time projection environment humidity HSD and the real-time projection environment brightness HLD of the place where the holographic projection system is located;
step SS2: comparing the preset projection environment temperature with the real-time projection environment temperature, if the preset projection environment temperature is less than or equal to the real-time projection environment temperature, not performing any operation, and if the preset projection environment temperature is greater than the real-time projection environment temperature, entering the next step;
step SS3: comparing the preset projection environment humidity with the real-time projection environment humidity, if the preset projection environment humidity is less than or equal to the real-time projection environment humidity, not performing any operation, and if the preset projection environment humidity is greater than the real-time projection environment humidity, entering the next step;
step SS4: comparing the preset projection environment brightness with the real-time projection environment brightness, if the preset projection environment brightness is less than or equal to the real-time projection environment brightness, not performing any operation, and if the preset projection environment brightness is greater than the real-time projection environment brightness, entering the next step;
step SS5: calculating a difference value between a preset projection environment temperature and a real-time projection environment temperature to obtain a projection temperature difference TWC, obtaining a projection humidity difference TSC by a difference value between a preset projection environment humidity and a real-time projection environment humidity, and obtaining a projection brightness difference TLC by a difference value between a preset projection environment brightness and a real-time projection environment brightness;
step SS6: substituting the projection temperature difference TWC, the projection humidity difference TSC and the projection brightness difference TLC into a calculation formula to calculate an environment adjustment value HT of the hologram system, wherein the formula is specifically as follows:
step SS7: if HT is less than X1, generating an environment normal signal;
if X1 is less than or equal to HT and less than X2, generating an environment allocation signal;
if X2 is less than or equal to HT, generating an environment abnormality signal; wherein X1 and X2 are environmental allocation thresholds, and X1 is less than X2;
the environment allocation module feeds back an environment normal signal, an environment allocation signal or an environment abnormality signal to the server, if the environment normal signal is received, the server does not perform any operation, if the environment allocation signal is received, the server adjusts the real-time projection environment temperature, the real-time projection environment humidity and the real-time projection environment brightness of the location of the holographic projection system according to the environment allocation signal, and if the environment abnormality signal is received, the server controls the holographic projection system to stop working.
2. The intelligent holographic projection system of claim 1, wherein the real-time projection environment data comprises real-time projection environment temperature, real-time projection environment humidity, real-time projection environment brightness of a location of the holographic projection system; the real-time projection data comprises real-time projection height and real-time projection brightness; the personal information comprises the name, the mobile phone number and a preset face image of the user; the preset projection habit data comprises preset projection height and preset projection brightness; the preset projection environment data comprises preset projection environment temperature, preset projection environment humidity and preset projection environment brightness of the holographic projection system.
3. The intelligent holographic projection system based on big data of claim 1, wherein the identification process of the personnel identification module is specifically as follows:
step one: acquiring real-time facial features of a user according to the real-time facial images, and extracting preset facial images in a plurality of user projection packages to obtain the preset facial features;
step two: comparing the distance between two ears in the preset facial features with the distance between two ears in the preset facial features, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step three: comparing the inner and outer distances between the two eyes in the preset facial feature with the inner and outer distances between the two eyes in the preset facial feature, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step four: comparing the mouth angle interval in the preset facial feature with the mouth angle interval in the preset facial feature, if the comparison is passed, entering the next step, and if the comparison is not passed, generating an identification failure signal;
step five: and comparing the nose bridge length in the preset facial features with the nose bridge length in the preset facial features, if the comparison is passed, generating a recognition success signal, and if the comparison is not passed, generating a recognition failure signal.
4. The intelligent holographic projection system based on big data of claim 1, wherein the working process of the projection setting module is specifically as follows:
acquiring a preset projection height and preset projection brightness in preset projection habit data, and then acquiring a real-time projection height and real-time projection brightness in real-time projection data;
calculating a difference value between the preset projection height and the real-time projection height, adding the preset projection height and the real-time projection height to obtain an average value to obtain the current projection height if the difference value is within a preset range, and adjusting the real-time projection height to the preset projection height if the difference value is not within the preset range;
calculating a difference value between the preset projection brightness and the real-time projection brightness, adding the preset projection brightness and the real-time projection brightness to obtain an average value to obtain the current projection brightness if the difference value is within a preset range, and adjusting the real-time projection brightness to the preset projection brightness if the difference value is not within the preset range.
5. The intelligent holographic projection system based on big data of claim 1, wherein the working process of the intelligent start-stop module is as follows:
step S1: acquiring a user of the holographic projection coefficient, and marking the user as u, u=1, 2, … …, x, x being a positive integer; acquiring the opening time of each user using the holographic projection coefficient, and marking the opening time as KQu;
step S2: acquiring the closing time of each user using the holographic projection coefficient, and marking the closing time as GBu;
step S3: performing traversal comparison on the opening time and the closing time of each user to obtain the earliest opening time KQmin and the latest closing time GBmax of the user;
step S4: recording the earliest starting time of a user as the intelligent starting time of the holographic projection system;
step S5: the latest closing time of the user is recorded as the intelligent closing time of the holographic projection system.
6. The intelligent holographic projection system based on big data of claim 3, wherein the real-time facial features comprise inter-aural distance, inter-ocular distance, mouth angle distance, nose bridge length, and the preset facial features comprise inter-aural distance, inter-ocular distance, mouth angle distance, nose bridge length.
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