CN116313116B - Simulation processing system and method based on human body thermal physiological model - Google Patents
Simulation processing system and method based on human body thermal physiological model Download PDFInfo
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Abstract
The invention provides a simulation processing system and a simulation processing method based on a human thermal physiological model, wherein the system comprises: the simulation processing demand acquisition module is used for interactively acquiring the simulation processing demand of the user; the simulation processing input parameter determining module is used for determining simulation processing input parameters based on simulation processing requirements and a preset simulation processing input parameter library; the simulation processing result acquisition module is used for inputting simulation processing input parameters into a preset human body thermal physiological model to perform simulation processing, and acquiring a simulation processing result; and the simulation processing result presentation module is used for interactively presenting the simulation processing result to the user. According to the invention, the simulation processing requirement is determined without a researcher according to the research requirement of researching the physiological state of the human body during movement, and the human body thermal physiological model is manually input with the simulation processing requirement by the researcher, so that convenience and humanization are improved, and the method is particularly suitable for the situation when the researcher has more research matters.
Description
Technical Field
The invention relates to the technical field of computer data processing, in particular to a simulation processing system and method based on a human thermal physiological model.
Background
At present, the human thermal physiological model is mostly applied to research work of researching physiological states of human body during exercise, namely exercise health simulation, such as: the patent application number CN201610805187.1 discloses a motion health simulation and prediction method and system based on a human thermal physiological model, wherein the method comprises the following steps: inputting human body parameters, clothing parameters, environment parameters and motion data; simulating a motion process by using a Gagge two-node human body thermal physiological model and a corresponding clothing model to obtain a simulation result; extracting needed human physiological change data from the simulation result; analyzing and predicting the human physiological change data by using a fuzzy finite state machine to obtain an analysis and prediction result; and outputting the analysis and prediction result according to a specified format. In the technical scheme, a Gagge two-node human body thermal physiological model is used for motion health simulation.
However, when using the human body thermal physiological model to simulate sports health, researchers need to determine the simulation processing requirement according to the research requirement of researching the physiological state of the human body during sports, and manually input the simulation processing requirement into the human body thermal physiological model, for example: when researchers need to study physiological conditions (heart rate and the like) of people at different ages and under different clothes in a motion state, the age input parameters (different ages) and the clothes input parameters (different clothes materials, thicknesses and the like) of the human body thermal physiological model are manually set and input, so that convenience is low, humanization is not enough, particularly when researchers have more research matters, the researchers need to continuously perform motion simulation, and each time the manual input is needed, so that the working efficiency of the study on the physiological conditions of the human body in motion can be reduced.
Secondly, when the human body thermal physiological model outputs a motion simulation result, the output content is more, for example: physiological data tables of people of different age groups under the exercise state, physiological data comparison diagrams of people of different age groups under the exercise state, physiological data with health risks (such as excessively fast heart rate and the like) and the like, if a bee is completely output and displayed, researchers are required to check, screen and drag content which is preferred to be checked by themselves one by one, and the work efficiency of the bee is possibly reduced due to humanization.
Thus, a solution is needed.
Disclosure of Invention
The invention aims to provide a simulation processing system based on a human body thermal physiological model, which does not need to determine the simulation processing requirement according to the research requirement of a researcher on the physiological state of a human body during movement, does not need to manually input the simulation processing requirement into the human body thermal physiological model, improves convenience, also improves humanization, and is particularly suitable for the situation when the researcher has more research matters. The content which is selected and dragged by the researchers and has self preference to be checked is not required to be checked one by one, so that humanization is further improved, and the working efficiency is further improved.
The embodiment of the invention provides a simulation processing system based on a human thermal physiological model, which comprises the following components:
the simulation processing demand acquisition module is used for interactively acquiring the simulation processing demand of the user;
the simulation processing input parameter determining module is used for determining simulation processing input parameters based on simulation processing requirements and a preset simulation processing input parameter library;
the simulation processing result acquisition module is used for inputting simulation processing input parameters into a preset human body thermal physiological model to perform simulation processing, and acquiring a simulation processing result;
and the simulation processing result presentation module is used for interactively presenting the simulation processing result to the user.
Preferably, the simulation processing requirement acquisition module interactively acquires the simulation processing requirement of the user, and performs the following operations:
acquiring a study progress of physiological study of a user;
matching the progress type of the research progress with the trigger progress type in a preset trigger progress type library;
when the matching is met, a preset simulation processing demand recommendation list generating template corresponding to the triggering progress type met by the matching is obtained;
generating a template based on the simulation processing demand recommendation list, and generating the simulation processing demand recommendation list according to the research progress;
Outputting and displaying a simulation processing demand recommendation list;
and acquiring simulation processing demands selected by a user from the simulation processing demand recommendation list.
Preferably, the simulation processing demand acquisition module outputs and displays a simulation processing demand recommendation list, and performs the following operations:
acquiring a terminal display interface of a terminal for physiological research of a user;
acquiring the display size requirement of a simulation processing requirement recommendation list;
determining an idle display area meeting the display size requirement from a terminal display interface;
traversing the idle display area in sequence;
each time of traversing, determining a content area which is completely displayed in a radius range preset around the center of the traversed idle display area from a terminal display interface;
acquiring requirement information which indicates that a user has a use requirement on a content area in a latest preset time based on a preset information acquisition template;
based on a preset first feature extraction template, carrying out feature extraction on the position relation between the content area and the traversed idle display area in the demand information and the terminal display interface to obtain a plurality of area features;
constructing a first feature description factor of the traversed idle display area based on the plurality of area features;
Determining a region evaluation value corresponding to the first feature description factor from a preset region evaluation value library;
and after traversing the idle display area, outputting and displaying the simulation processing demand recommendation list in the idle display area corresponding to the maximum area evaluation value.
Preferably, the simulation processing requirement acquisition module acquires a research progress of physiological research of a user, and performs the following operations:
when the user newly reports the physiological research progress, determining the research progress based on the report content;
and/or the number of the groups of groups,
determining a study progress based on the physiological study task when the user is newly assigned the physiological study task;
and/or the number of the groups of groups,
acquiring a research operation record of physiological research in the latest preset time of a user;
performing feature extraction on the research operation record based on a preset second feature extraction template to obtain a plurality of record features;
constructing a second feature descriptor of the research operation record based on the plurality of record features;
matching the second feature description factor with any standard feature description factor in a preset standard feature description factor library, obtaining factor matching degree, and associating with the matched standard feature description factor;
and acquiring a preset research progress prediction result corresponding to the standard feature description factor associated with the maximum factor matching degree, and taking the result as a research progress.
Preferably, the simulation result presenting module interactively presents the simulation result to the user, and performs the following operations:
acquiring a preset presentation interface for presenting content to a user;
dividing the presentation interface into a first local interface and a second local interface based on the local interface division constraint condition;
acquiring a preset presentation personality preference library corresponding to a user; presenting a library of personality preferences includes: a plurality of groups of first preference supporting conditions and first preference degrees which are in one-to-one correspondence;
determining whether first target content meeting any first preference supporting condition exists in the simulation processing result;
when yes, associating the first preference degree corresponding to the satisfied first preference supporting condition with the first target content;
setting corresponding first target content in a first local interface from top to bottom in sequence according to the first preference degree associated with the first target content;
acquiring a preset presentation universality preference library; presenting a universal preference library includes: a plurality of groups of second preference supporting conditions and second preference degrees which are in one-to-one correspondence;
determining whether second target content meeting any second preference supporting condition exists in the simulation processing result;
when yes, associating a second preference degree corresponding to the satisfied second preference support condition with the second target content;
Taking the minimum first preference degree of the first preference degrees associated with the first target content as a preference degree threshold;
when the second preference degree associated with the second target content is greater than or equal to a preference degree threshold value, setting the first target content which is located at the lowest part in the first local interface and is randomly followed by the corresponding second target content;
when the second preference degree associated with the second target content is smaller than the preference degree threshold value, sequentially setting the corresponding second target content in a second local interface from top to bottom according to the second preference degree associated with the corresponding second target content;
outputting and displaying a current presentation interface;
the local interface division constraint condition comprises:
the first local interface is positioned on the left side or the upper side of the second local interface;
the interface area of the first local interface is larger than the interface area of the second local interface.
Preferably, the simulation processing result presenting module is further configured to perform the following operations:
when the user drags the second target content to be inserted between any two first target contents, taking the second preference supporting condition satisfied by the dragged second target content as a third preference supporting condition, and calculating a third preference based on the second preference degree associated with the dragged second target content and the first preference degrees associated with the two first target contents currently adjacent to the dragged second target content, wherein the calculation formula is as follows:
Wherein, the liquid crystal display device comprises a liquid crystal display device,for the third preference degree, ++>And->For a first preference degree currently associated with two first target contents adjacent to the dragged second target content, +.>A second preference degree associated for the dragged second target content, +.>And->The weight value is preset;
and correspondingly grouping the third preference supporting conditions and the third preference degree, and storing the third preference supporting conditions and the third preference degree into a presentation personality preference library.
Preferably, the simulation processing result presenting module is further configured to perform the following operations:
when the user drags the first target content to any second target content, taking the first preference supporting condition met by the dragged first target content as a fourth preference supporting condition, and taking the first preference degree associated with the dragged first target content as a fourth preference degree;
removing the fourth preference supporting condition and the fourth preference degree from the presentation personality preference library;
and correspondingly grouping the fourth preference supporting conditions and the fourth preference degree, and storing the fourth preference supporting conditions and the fourth preference degree into a presentation universality preference library.
The simulation processing method based on the human thermal physiological model provided by the embodiment of the invention is characterized by comprising the following steps of:
step S1: interactively acquiring simulation processing requirements of a user;
step S2: determining simulation processing input parameters based on simulation processing requirements and a preset simulation processing input parameter library;
Step S3: inputting simulation processing input parameters into a preset human body thermal physiological model for simulation processing, and obtaining simulation processing results;
step S4: and interactively presenting simulation processing results to a user.
Preferably, step S1: the simulation processing requirements of the user are obtained interactively, and the following operations are executed:
acquiring a study progress of physiological study of a user;
matching the progress type of the research progress with the trigger progress type in a preset trigger progress type library;
when the matching is met, a preset simulation processing demand recommendation list generating template corresponding to the triggering progress type met by the matching is obtained;
generating a template based on the simulation processing demand recommendation list, and generating the simulation processing demand recommendation list according to the research progress;
outputting and displaying a simulation processing demand recommendation list;
and acquiring simulation processing demands selected by a user from the simulation processing demand recommendation list.
Preferably, the following operations are executed by outputting and displaying a simulation processing demand recommendation list:
acquiring a terminal display interface of a terminal for physiological research of a user;
acquiring the display size requirement of a simulation processing requirement recommendation list;
determining an idle display area meeting the display size requirement from a terminal display interface;
Traversing the idle display area in sequence;
each time of traversing, determining a content area which is completely displayed in a radius range preset around the center of the traversed idle display area from a terminal display interface;
acquiring requirement information which indicates that a user has a use requirement on a content area in a latest preset time based on a preset information acquisition template;
based on a preset first feature extraction template, carrying out feature extraction on the position relation between the content area and the traversed idle display area in the demand information and the terminal display interface to obtain a plurality of area features;
constructing a first feature description factor of the traversed idle display area based on the plurality of area features;
determining a region evaluation value corresponding to the first feature description factor from a preset region evaluation value library;
and after traversing the idle display area, outputting and displaying the simulation processing demand recommendation list in the idle display area corresponding to the maximum area evaluation value.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a simulation processing system based on a human thermal physiological model in an embodiment of the invention;
fig. 2 is a schematic diagram of a simulation processing method based on a human thermal physiological model in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a simulation processing system based on a human thermal physiological model, as shown in fig. 1, comprising:
the simulation processing demand acquisition module 1 is used for interactively acquiring the simulation processing demand of a user; wherein, the user is a researcher; the simulation processing requirement is a research requirement for researching the physiological state of a researcher during human body movement, and specifically, the simulation processing requirement is as follows: the physiological state conditions of people at different ages under the exercise state need to be studied;
The simulation processing input parameter determining module 2 is used for determining simulation processing input parameters based on simulation processing requirements and a preset simulation processing input parameter library; the simulation processing input parameters corresponding to different simulation processing requirements are in the simulation processing input parameter library, and the simulation processing input parameters are input parameters required for completing research corresponding to the simulation processing requirements by utilizing a human thermal physiological model, specifically, for example: the simulation processing requirement is that physiological state conditions of people of different age groups under the motion state need to be studied, and then the simulation processing input parameters are setting parameters for setting the simulated objects to be the people of different age groups;
the simulation processing result acquisition module 3 is used for inputting simulation processing input parameters into a preset human body thermal physiological model to perform simulation processing, and acquiring a simulation processing result; after the simulation processing input parameters are input into the human body thermal physiological model, the human body thermal physiological model is used for completing motion health simulation, a simulation processing result is output, and the simulation processing result corresponds to a simulation processing requirement, specifically, for example: the simulation processing requirement is that physiological state conditions of people in different age groups under the exercise state need to be studied, and the simulation processing result is heart rate and the like of the people in different age groups under the exercise state; the human body thermal physiological model is a Gagge two-node human body thermal physiological model, and the specific model structure is as follows:
The Gagge two-node human body thermal physiological model divides a human body into an inner core layer and a skin layer, a part of heat generated in the inner core layer by metabolism is directly dissipated into the environment through breathing, the rest of heat is transferred to the skin surface, a part of heat transferred to the skin surface is dissipated by sweat evaporation, the rest of heat is transferred to the surface of clothes through clothes, and then the rest of heat is dissipated into the environment through radiation and convection.
The thermal equilibrium equation for the core layer is:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the heat exchange rate of the kernel layer +.>For respiratory heat loss>For the core layer temperature, +.>For skin layer temperature, ++>And->Is a constant term coefficient, +>For the blood flow rate of the skin layer>For metabolism rate, japan>Heat loss generated by doing work for the movement;
wherein, the liquid crystal display device comprises a liquid crystal display device,for the heat exchange rate of the skin layer +.>For radiating heat>Heat exchange amount caused by convection;
wherein, the liquid crystal display device comprises a liquid crystal display device,for the radiation heat transfer coefficient>For convection heat transfer coefficient>For ambient temperature->For the convective heat transfer coefficient at the current temperature, +.>Is a thermal resistance value associated with the garment;
the temperature change of the inner core layer and the skin layer can be timely realized through a heat balance equation of the active system:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the temperature change of the inner core layer->For skin layer temperature variation, ++ >For body surface area->For kernel layer quality, ++>For the heat capacity of the inner core layer->Skin layer quality>Heat capacity for skin layer;
the calculation process of the dehydration amount is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,for sweating rate, add->For dehydration amount, ->And->For controlling the coefficient +.>，。
The heart rate is calculated from a nonlinear heart rate model by the following steps:
wherein the method comprises the steps of，And->For controlling parameters +.>，/>，，/>，/>，/>，/>And->In order to control the coefficient of the power consumption,for the speed of movement +.>Heart rate>Taking 0.00321 as a constant parameter;
analyzing the physiological data by using a fuzzy Finite State Machine (FSM), judging whether diseases occur in the movement process and performing early warning;
and the simulation processing result presentation module 4 is used for interactively presenting the simulation processing result to the user.
The working principle and the beneficial effects of the technical scheme are as follows:
when the simulation processing requirements of the user are obtained interactively, the simulation processing requirements can be deduced according to the current research progress of the user, for example: the research progress is to research the influence of clothing on the physiological change of human body exercise, and then deduce that the simulation processing requirements of users are the changes of heart rate, core temperature and the like of people with different clothing in an exercise state, and a scheme for interactively acquiring the simulation processing requirements of the users is described in the following embodiment. And introducing a simulation processing input parameter library, determining simulation processing input parameters based on a simulation processing requirement checking library, and inputting the simulation processing input parameters into a human thermal physiological model to perform simulation processing to obtain a simulation processing result. The simulation processing requirement is determined without a researcher according to the research requirement of researching the physiological state of the human body during movement, and the human body thermal physiological model is input into the human body thermal physiological model manually, so that convenience and humanization are improved, and the method is particularly suitable for the situation when the researcher has more research matters.
When the simulation processing result is interactively presented to the user, the content preferred to be checked by the user in the simulation processing result can be displayed in front, for example: if the user prefers to view the comparison chart, the heart rate variation comparison chart of different clothing people in the motion state is presented at the front, and the scheme for presenting the simulation processing result to the user in a specific interactive way is provided in the following embodiment. The content which is selected and dragged by the researchers and has self preference to be checked is not required to be checked one by one, so that humanization is further improved, and the working efficiency is further improved.
In one embodiment, the simulation processing requirement acquisition module 1 interactively acquires the simulation processing requirement of the user, and performs the following operations:
acquiring a study progress of physiological study of a user;
matching the progress type of the research progress with the trigger progress type in a preset trigger progress type library; the progress type of the research progress is as follows: the research progress is to research the influence of clothing on the physiological change of human body exercise, and the progress type is the influence factor of the physiological change of human body exercise; the trigger progress type is a progress type indicating that the user needs to perform exercise health simulation by using a human body thermal physiological model, for example: human body movement physiological change influencing factors and the like;
When the matching is met, a preset simulation processing demand recommendation list generating template corresponding to the triggering progress type met by the matching is obtained; the simulation processing requirement recommendation list generating template is a template for generating a simulation processing requirement recommendation list according to the research progress of the trigger progress type matched and matched, for example: the template is a multi-row blank list, the research progress is to research the influence of clothing on the physiological change of human body movement, namely the physiological change of human body movement when the thickness of the clothing is A, the physiological change of human body movement when the thickness of the clothing is B and the physiological change of human body movement when the thickness of the clothing is C are filled in the multi-row blank list from top to bottom in sequence (A, B, C are unequal);
generating a template based on the simulation processing demand recommendation list, and generating the simulation processing demand recommendation list according to the research progress;
outputting and displaying a simulation processing demand recommendation list;
and acquiring simulation processing demands selected by a user from the simulation processing demand recommendation list.
The working principle and the beneficial effects of the technical scheme are as follows:
when the progress type of the research progress of the physiological research of the user is matched with the trigger progress type, the user is required to perform motion health simulation by using the human body thermal physiological model, and then follow-up operation is performed, so that the trigger system is realized, the acquisition resources of the simulation processing requirements are reduced, and the acquisition efficiency of the simulation processing requirements is improved. The simulation processing demand recommendation list generation template is introduced, the simulation processing demand recommendation list for users to select the simulation processing demands is generated rapidly according to the research progress, interaction is realized, the acquisition efficiency of the simulation processing demands is further improved, and meanwhile, the simulation processing demand recommendation list generation template is more humanized.
In one embodiment, the simulation processing demand acquisition module 1 outputs and displays a simulation processing demand recommendation list, and performs the following operations:
acquiring a terminal display interface of a terminal for physiological research of a user; the terminal can be a computer and the like, and the corresponding terminal display interface can be a computer display interface and the like;
acquiring the display size requirement of a simulation processing requirement recommendation list; the display size requirement is the size required by the complete display of the content in the simulation processing demand recommendation list, the simulation processing demand recommendation list is rectangular, and the display size requirement is a numerical value of length and width;
determining an idle display area meeting the display size requirement from a terminal display interface; when the display size requirement is met, the content in the simulation processing demand recommendation list can be completely displayed in the idle display area;
traversing the idle display area in sequence;
each time of traversing, determining a content area which is completely displayed in a radius range preset around the center of the traversed idle display area from a terminal display interface; wherein, the complete display of the content area means that the content area falls into the radius range;
acquiring requirement information which indicates that a user has a use requirement on a content area in a latest preset time based on a preset information acquisition template; wherein, the demand information includes: a time point when a user performs operations (such as clicking, turning over, deleting, etc.) on the content area through the terminal, a time point when a line of sight of the user generates a drop point in the content area (the acquisition of the drop point in an interface of a line of sight display screen belongs to the category of the prior art, and is not described in detail herein), etc., and the information acquisition template is a template for acquiring such required information against the information acquisition;
Based on a preset first feature extraction template, carrying out feature extraction on the position relation between the content area and the traversed idle display area in the demand information and the terminal display interface to obtain a plurality of area features; wherein the regional characteristics include: the frequency of the user operating the content area through the terminal (the frequency can be determined based on the number of times the user operates the content area through the terminal in the latest preset time, such as 12 times/min), the total time length of the point of fall generated by the line of sight of the user in the content area (the total time length can be obtained based on the accumulated calculation of the point of time when the point of fall is generated by the line of sight of the user in the content area in the latest preset time, such as 12 seconds), the shortest linear distance between the content area and the traversed idle display area, and the first feature extraction template is a template for defining the feature extraction process to extract features of the area against the feature extraction;
constructing a first feature description factor of the traversed idle display area based on the plurality of area features; wherein, the first feature descriptor is constructed by a plurality of regional features to describe the running of the vector (the description vector belongs to the prior art category, and is not repeated here);
Determining a region evaluation value corresponding to the first feature description factor from a preset region evaluation value library; the higher the region evaluation value, the less the content output in the corresponding idle display region does not affect the content region with the current use requirement of the user, generally, the lower the frequency of the user operating the content region through the terminal in the region characteristics (the lower the use requirement of the user on the content region is illustrated), the shorter the total duration of the falling point generated by the sight of the user in the content region (the lower the use requirement of the user on the content region is illustrated), the longer the shortest straight line distance between the content region and the traversed idle display region (the smaller the part of the content output in the idle display region appears in the sight range when the user views the idle display region suddenly, and the smaller the influence on the user is), and the higher the region evaluation value corresponding to the first feature description factor formed by the region characteristics;
and after traversing the idle display area, outputting and displaying the simulation processing demand recommendation list in the idle display area corresponding to the maximum area evaluation value.
The working principle and the beneficial effects of the technical scheme are as follows:
when the simulation processing requirement is not required to be manually input by a user in specific application, the user is unknowable when the simulation processing requirement recommendation list is adaptively output and displayed for the user to select, and at the moment, the user can view some other research contents, and if the simulation processing requirement recommendation list is randomly output on a terminal display interface, the view of the other research contents which the user is performing can be influenced, and even thinking of the user can be interrupted. For this, the embodiment of the invention selects the idle display area with the largest area evaluation value, which is the content area with the use requirement, on the terminal display interface, thereby avoiding the generation of the problem, further improving humanization and being more intelligent. Secondly, the information acquisition template, the first feature extraction template, the region evaluation value library and the like are introduced, the region evaluation value of each idle display region is rapidly determined, and the selection accuracy and the selection efficiency of selecting the optimal idle display region are improved.
In one embodiment, the simulation processing demand acquisition module 1 acquires a study progress of a physiological study performed by a user, and performs the following operations:
When the user newly reports the physiological research progress, determining the research progress based on the report content; the report content is the physiological research progress newly reported by the user; generally, research departments will count the research progress of each researcher regularly and instruct the researchers to report, so that the research progress can be determined based on the report content;
and/or the number of the groups of groups,
determining a study progress based on the physiological study task when the user is newly assigned the physiological study task; wherein, generally, the research department will assign each researcher a physiological research task, and thus, the research progress can be determined based on the physiological research tasks;
and/or the number of the groups of groups,
acquiring a research operation record of physiological research in the latest preset time of a user; wherein, research operation record includes: online search records performed by a user using a computer or the like;
performing feature extraction on the research operation record based on a preset second feature extraction template to obtain a plurality of record features; wherein the recording features include: recording keywords or the like of online search recordings made by a user using a computer or the like, such as: the second feature extraction template is a template for extracting the record features in contrast with the template for carrying out feature extraction in the feature extraction process;
Constructing a second feature descriptor of the research operation record based on the plurality of record features; wherein the second feature descriptors are also constructed based on the recorded features in the form of description vectors;
matching the second feature description factor with any standard feature description factor in a preset standard feature description factor library, obtaining factor matching degree, and associating with the matched standard feature description factor; the standard feature describing factors are recording features generated when a user can react that the user possibly needs to use a human body thermal physiological model to perform motion simulation (for example, recording keywords of online search records performed by the user by using a computer and the like are clothing, influence, motion and heat dissipation, and the description of whether the user wants to see the research on the network through online search is firstly constructed in a description vector form;
and acquiring a preset research progress prediction result corresponding to the standard feature description factor associated with the maximum factor matching degree, and taking the result as a research progress. The research progress prediction result is a research work which is currently wanted by a user of the standard characteristic description factor reaction, for example: the standard feature description factors are formed by constructing record keywords of online search records, such as clothing, influence, movement and heat dissipation, by using a computer and the like in a description vector form, so that whether the user wants to see the research on the network through online search at first is described, and the research progress prediction result is that the influence of the clothing on the heat dissipation condition of the movement of the human body is researched;
The working principle and the beneficial effects of the technical scheme are as follows:
"and/or" refers to three ways of obtaining the progress of a physiological study performed by a user. Three modes are introduced to acquire the research progress of physiological research of the user, so that the applicability of the system is improved.
In one embodiment, the simulation result presenting module 4 interactively presents the simulation result to the user, performing the following operations:
acquiring a preset presentation interface for presenting content to a user; the presentation interface is a preset content frame for placing simulation processing results;
dividing the presentation interface into a first local interface and a second local interface based on the local interface division constraint condition;
acquiring a preset presentation personality preference library corresponding to a user; presenting a library of personality preferences includes: a plurality of groups of first preference supporting conditions and first preference degrees which are in one-to-one correspondence; wherein the first preference support condition is a support condition that a user can consider to view a personalized viewing preference of a simulation processing result, such as: the user's individual viewing preference for viewing the simulation processing result is to view the data comparison chart (such as average heart rate comparison when the human body under different clothes moves), and the first preference supporting condition is that the data comparison chart exists; the first preference degree represents the preference degree of individual viewing preference of a user for viewing the simulation processing result, and the larger the first preference degree is, the larger the preference degree is;
Determining whether first target content meeting any first preference supporting condition exists in the simulation processing result; among them, for example: the first preference supporting condition is that the content of the data comparison chart exists, and the first target content is the data comparison chart;
when yes, associating the first preference degree corresponding to the satisfied first preference supporting condition with the first target content;
setting corresponding first target content in a first local interface from top to bottom in sequence according to the first preference degree associated with the first target content; the first local interface is used for placing the content which is more preferred to be checked by the user, and generally, the habit of checking the content by the user is from top to bottom, so that the content which is more preferred by the user is placed upwards;
acquiring a preset presentation universality preference library; presenting a universal preference library includes: a plurality of groups of second preference supporting conditions and second preference degrees which are in one-to-one correspondence; wherein the second preference support condition is a support condition in which a mass viewing preference (commonly owned preference) of a mass user (i.e., a large number of researchers) viewing the simulation processing result can be considered, such as: the mass viewing preference of mass users for viewing the simulation processing results is that the mass viewing preference is that the data curve graph (such as heart rate curve when people with different clothes exercise), and the second preference support condition is that the data curve graph exists; the second preference degree represents the preference degree of the public viewing preference of the public users for viewing the simulation processing result, and the larger the second preference degree is, the larger the preference degree is;
Determining whether second target content meeting any second preference supporting condition exists in the simulation processing result; among them, for example: the second preference support condition is that the content of the data graph exists, and then the second target content is the data graph;
when yes, associating a second preference degree corresponding to the satisfied second preference support condition with the second target content;
taking the minimum first preference degree of the first preference degrees associated with the first target content as a preference degree threshold;
when the second preference degree associated with the second target content is greater than or equal to a preference degree threshold value, setting the first target content which is located at the lowest part in the first local interface and is randomly followed by the corresponding second target content; if there is a second target content with a second preference degree greater than or equal to the minimum first preference degree, namely, a preference degree threshold value, it is stated that the user may also prefer the display form and the like of the second target content, and the second target content is placed in the first local interface in a "tentative" manner, but placed last; "random" herein refers to when a plurality of second target contents whose second preference degree is equal to or greater than a preference degree threshold value appear, they are finally randomly arranged at the first local interface;
When the second preference degree associated with the second target content is smaller than the preference degree threshold value, sequentially setting the corresponding second target content in a second local interface from top to bottom according to the second preference degree associated with the corresponding second target content; likewise, the second target content is orderly arranged in the second local interface from top to bottom according to the public preference degree, namely the second preference degree from large to small;
outputting and displaying a current presentation interface;
the local interface division constraint condition comprises:
the first local interface is positioned on the left side or the upper side of the second local interface; wherein, generally, the sequence of the displayed contents viewed by the person is from top to bottom or from left to right, and this condition is set for the convenience of the user to preferentially view the contents in the preferred content display form;
the interface area of the first local interface is larger than the interface area of the second local interface. When the condition is met, the user can more conveniently and intensively view the content in the content display form preferred by the user.
The working principle and the beneficial effects of the technical scheme are as follows:
when the simulation processing result is presented to the user, the content in the content display form preferred by the user is placed in the first local interface which is far left or far up relative to the second local interface and has larger area for display, so that the user can conveniently and preferentially check, interaction (knowing the preference of the user) is realized, and humanization is greatly improved. In addition, a second local interface for placing the content meeting the public viewing preference of the public users on the simulation processing result is introduced, so that the content with non-user individual preference in the simulation processing result can be displayed in a priority grading (from top to bottom) mode as far as possible according to the preference of the user.
In one embodiment, the simulation processing result presenting module 4 is further configured to perform the following operations:
when the user drags the second target content to be inserted between any two first target contents, taking the second preference supporting condition satisfied by the dragged second target content as a third preference supporting condition, and calculating a third preference based on the second preference degree associated with the dragged second target content and the first preference degrees associated with the two first target contents currently adjacent to the dragged second target content, wherein the calculation formula is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the third preference degree, ++>And->For a first preference degree currently associated with two first target contents adjacent to the dragged second target content, +.>A second preference degree associated for the dragged second target content, +.>And->The weight value is preset; the weight value can be set in advance by staff according to the requirement;
and correspondingly grouping the third preference supporting conditions and the third preference degree, and storing the third preference supporting conditions and the third preference degree into a presentation personality preference library. Wherein, the corresponding group refers to that the third preference supporting condition is corresponding to the third preference degree as a group, because the contents in the presentation personality preference library are all corresponding to the group (described in the above embodiment).
The working principle and the beneficial effects of the technical scheme are as follows:
if the user drags the second target content to the middle of any two first target contents, the user is stated to prefer the dragged second target content, and the preference degree is also between the first preference degrees associated with the two first target contents, therefore, the second preference supporting condition met by the dragged second target content is used as a third preference supporting condition, the third preference degree is calculated based on the second preference degree associated with the dragged second target content and the first preference degrees associated with the two first target contents adjacent to the dragged second target content, and the third preference supporting condition and the third preference degree are correspondingly grouped and stored in the presentation personality preference library. When the method is applied specifically, if a user finds second target contents in a happy display form in a second local interface, the second target contents are directly dragged to the middle of any two first target contents in the first local interface according to the happy degree (preference degree) of the user, a system can adaptively and automatically generate third preference supporting conditions and third preference degrees of new personal preferences of the user, and the third preference supporting conditions and the third preference degrees are stored in a personal preference library after corresponding grouping. Therefore, the user can express a new preference idea based on simple dragging, so that interactivity is further improved, and humanization is realized.
In one embodiment, the simulation processing result presenting module 4 is further configured to perform the following operations:
when the user drags the first target content to any second target content, taking the first preference supporting condition met by the dragged first target content as a fourth preference supporting condition, and taking the first preference degree associated with the dragged first target content as a fourth preference degree;
removing the fourth preference supporting condition and the fourth preference degree from the presentation personality preference library;
and correspondingly grouping the fourth preference supporting conditions and the fourth preference degree, and storing the fourth preference supporting conditions and the fourth preference degree into a presentation universality preference library. Wherein, the corresponding group refers to that the fourth preference supporting condition and the fourth preference degree are corresponding to a group, because the content in the universal preference library is presented to be corresponding to the group (the description is given in the above embodiment).
The working principle and the beneficial effects of the technical scheme are as follows:
if the user drags the first target content in the first local interface to any second target content, the display form of the dragged first target content is not good recently, so that the first preference supporting condition met by the dragged first target content is used as a fourth preference supporting condition, the first preference degree associated with the dragged first target content is used as a fourth preference degree, the fourth preference supporting condition and the fourth preference degree are removed from the presentation personality preference library, and the presentation personality preference library is added. When the method is applied specifically, if the user finds that the display form of the first target content is less preferred recently, the corresponding first target content is directly dragged to the back of any second target content. Therefore, the user can express a new disfavored idea based on simple dragging, so that the interactivity is further improved, and the user is more humanized.
The embodiment of the invention provides a simulation processing method based on a human thermal physiological model, which is shown in fig. 2 and comprises the following steps:
step S1: interactively acquiring simulation processing requirements of a user;
step S2: determining simulation processing input parameters based on simulation processing requirements and a preset simulation processing input parameter library;
step S3: inputting simulation processing input parameters into a preset human body thermal physiological model for simulation processing, and obtaining simulation processing results;
step S4: and interactively presenting simulation processing results to a user.
In one embodiment, step S1: the simulation processing requirements of the user are obtained interactively, and the following operations are executed:
acquiring a study progress of physiological study of a user;
matching the progress type of the research progress with the trigger progress type in a preset trigger progress type library;
when the matching is met, a preset simulation processing demand recommendation list generating template corresponding to the triggering progress type met by the matching is obtained;
generating a template based on the simulation processing demand recommendation list, and generating the simulation processing demand recommendation list according to the research progress;
outputting and displaying a simulation processing demand recommendation list;
and acquiring simulation processing demands selected by a user from the simulation processing demand recommendation list.
In one embodiment, the output display simulation process demand recommendation list performs the following operations:
acquiring a terminal display interface of a terminal for physiological research of a user;
acquiring the display size requirement of a simulation processing requirement recommendation list;
determining an idle display area meeting the display size requirement from a terminal display interface;
traversing the idle display area in sequence;
each time of traversing, determining a content area which is completely displayed in a radius range preset around the center of the traversed idle display area from a terminal display interface;
acquiring requirement information which indicates that a user has a use requirement on a content area in a latest preset time based on a preset information acquisition template;
based on a preset first feature extraction template, carrying out feature extraction on the position relation between the content area and the traversed idle display area in the demand information and the terminal display interface to obtain a plurality of area features;
constructing a first feature description factor of the traversed idle display area based on the plurality of area features;
determining a region evaluation value corresponding to the first feature description factor from a preset region evaluation value library;
and after traversing the idle display area, outputting and displaying the simulation processing demand recommendation list in the idle display area corresponding to the maximum area evaluation value.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. A human thermal physiological model-based simulation processing system, comprising:
the simulation processing demand acquisition module is used for interactively acquiring the simulation processing demand of the user;
the simulation processing input parameter determining module is used for determining simulation processing input parameters based on the simulation processing requirements and a preset simulation processing input parameter library;
the simulation processing result acquisition module is used for inputting the simulation processing input parameters into a preset human body thermal physiological model to perform simulation processing, and acquiring a simulation processing result;
the simulation processing result presentation module is used for interactively presenting the simulation processing result to the user;
the simulation processing demand acquisition module interactively acquires the simulation processing demand of a user and executes the following operations:
acquiring a study progress of the physiological study of the user;
Matching the progress type of the research progress with a trigger progress type in a preset trigger progress type library;
when the matching is met, a preset simulation processing demand recommendation list generating template corresponding to the triggering progress type which is met by the matching is obtained;
generating a template based on the simulation processing demand recommendation list, and generating a simulation processing demand recommendation list according to the research progress;
outputting and displaying the simulation processing demand recommendation list;
acquiring the simulation processing demands selected by the user from the simulation processing demand recommendation list;
the simulation processing demand acquisition module outputs and displays the simulation processing demand recommendation list, and the following operations are executed:
acquiring a terminal display interface of a terminal for physiological research of the user;
acquiring the display size requirement of the simulation processing requirement recommendation list;
determining an idle display area meeting the display size requirement from the terminal display interface;
traversing the idle display area in sequence;
each time of traversing, determining a content area which is completely displayed in a radius range preset in the periphery of the area center of the traversed idle display area from the terminal display interface;
Acquiring requirement information which indicates that a user has a use requirement on the content area in the latest preset time based on a preset information acquisition template;
based on a preset first feature extraction template, extracting features of the requirement information and the position relation between the content area and the traversed idle display area in the terminal display interface to obtain a plurality of area features;
constructing a first feature description factor of the traversed idle display area based on the plurality of area features;
determining a region evaluation value corresponding to the first feature description factor from a preset region evaluation value library; the region evaluation value library is provided with region evaluation values corresponding to different first feature description factors, and the higher the region evaluation value is, the less the output content of the corresponding idle display region affects the content region with the current use requirement of the user;
and after traversing the idle display area, outputting and displaying the simulation processing demand recommendation list in the idle display area corresponding to the maximum area evaluation value.
2. The simulation processing system based on the human thermal physiological model according to claim 1, wherein the simulation processing requirement acquisition module acquires a research progress of the physiological research of the user, and performs the following operations:
When the user newly reports the physiological research progress, determining the research progress based on the report content;
and/or the number of the groups of groups,
determining the study schedule based on the physiological study task when the user is newly assigned a physiological study task;
and/or the number of the groups of groups,
acquiring a research operation record of physiological research in the latest preset time of the user;
performing feature extraction on the research operation records based on a preset second feature extraction template to obtain a plurality of record features;
constructing a second characterization factor for the study record based on the plurality of record features;
matching the second feature description factor with any standard feature description factor in a preset standard feature description factor library, obtaining factor matching degree, and associating the factor matching degree with the matched standard feature description factor;
and acquiring a preset research progress prediction result corresponding to the standard feature description factor associated with the maximum factor matching degree, and taking the result as the research progress.
3. The simulation processing system based on the human thermal physiological model as set forth in claim 1, wherein the simulation processing result presenting module interactively presents the simulation processing result to the user, and performs the following operations:
Acquiring a preset presentation interface for presenting content to the user;
dividing the presentation interface into a first local interface and a second local interface based on a local interface division constraint condition;
acquiring a preset presentation personality preference library corresponding to the user; the presentation personality preference library includes: a plurality of groups of first preference supporting conditions and first preference degrees which are in one-to-one correspondence;
determining whether first target content meeting any first preference supporting condition exists in the simulation processing result;
when yes, associating the first preference degree corresponding to the satisfied first preference supporting condition with the first target content;
setting the corresponding first target content in the first local interface from top to bottom according to the first preference degree associated with the first target content;
acquiring a preset presentation universality preference library; the presentation universality preference library comprises the following components: a plurality of groups of second preference supporting conditions and second preference degrees which are in one-to-one correspondence;
determining whether second target content meeting any second preference supporting condition exists in the simulation processing result;
when yes, associating the second preference degree corresponding to the satisfied second preference supporting condition with the second target content;
Taking the smallest first preference degree in the first preference degrees associated with the first target content as a preference degree threshold;
when the second preference degree associated with the second target content is greater than or equal to the preference degree threshold value, setting the first target content which is located at the lowest part in the first local interface and is randomly followed by the corresponding second target content;
when the second preference degree associated with the second target content is smaller than the preference degree threshold value, sequentially setting the corresponding second target content in the second local interface from top to bottom according to the second preference degree associated with the second target content;
outputting and displaying the current presentation interface;
wherein the local interface partitioning constraint condition includes:
the first local interface is positioned at the left side or the upper side of the second local interface;
the interface area of the first local interface is larger than the interface area of the second local interface.
4. A simulation processing system based on a human thermal physiological model as set forth in claim 3, wherein said simulation processing result presenting module is further configured to perform the following operations:
When the user drags the second target content to be inserted between any two of the first target contents, taking the second preference support condition satisfied by the dragged second target content as a third preference support condition, and calculating a third preference degree based on the second preference degree associated with the dragged second target content and the first preference degrees associated with the two first target contents currently adjacent to the dragged second target content, wherein the calculation formula is as follows:
；
wherein, the liquid crystal display device comprises a liquid crystal display device,for the third preference, +.>And->For said first preference degree, +_associated with two said first target content currently adjacent to said second target content being dragged>-said second preference level, +_for said second target content to be dragged>And->The weight value is preset;
and correspondingly grouping the third preference supporting conditions and the third preference degree, and storing the third preference supporting conditions and the third preference degree into the presentation personality preference library.
5. A simulation processing system based on a human thermal physiological model as set forth in claim 3, wherein said simulation processing result presenting module is further configured to perform the following operations:
when the user drags the first target content to any one of the second target content, taking a first preference supporting condition met by the dragged first target content as a fourth preference supporting condition, and taking the first preference degree associated with the dragged first target content as a fourth preference degree;
Removing the fourth preference support condition and the fourth preference degree from the presentation personality preference library;
and correspondingly grouping the fourth preference supporting condition and the fourth preference degree, and storing the fourth preference supporting condition and the fourth preference degree into the presentation universality preference library.
6. A simulation processing method based on a human body thermal physiological model is characterized by comprising the following steps:
step S1: interactively acquiring simulation processing requirements of a user;
step S2: determining simulation processing input parameters based on the simulation processing requirements and a preset simulation processing input parameter library;
step S3: inputting the simulation processing input parameters into a preset human thermal physiological model for simulation processing, and obtaining a simulation processing result;
step S4: interactively presenting the simulation processing result to the user;
the step S1: the simulation processing requirements of the user are obtained interactively, and the following operations are executed:
acquiring a study progress of the physiological study of the user;
matching the progress type of the research progress with a trigger progress type in a preset trigger progress type library;
when the matching is met, a preset simulation processing demand recommendation list generating template corresponding to the triggering progress type which is met by the matching is obtained;
Generating a template based on the simulation processing demand recommendation list, and generating a simulation processing demand recommendation list according to the research progress;
outputting and displaying the simulation processing demand recommendation list;
acquiring the simulation processing demands selected by the user from the simulation processing demand recommendation list;
the output displays the simulation processing demand recommendation list, and the following operations are executed:
acquiring a terminal display interface of a terminal for physiological research of the user;
acquiring the display size requirement of the simulation processing requirement recommendation list;
determining an idle display area meeting the display size requirement from the terminal display interface;
traversing the idle display area in sequence;
each time of traversing, determining a content area which is completely displayed in a radius range preset in the periphery of the area center of the traversed idle display area from the terminal display interface;
acquiring requirement information which indicates that a user has a use requirement on the content area in the latest preset time based on a preset information acquisition template;
based on a preset first feature extraction template, extracting features of the requirement information and the position relation between the content area and the traversed idle display area in the terminal display interface to obtain a plurality of area features;
Constructing a first feature description factor of the traversed idle display area based on the plurality of area features;
determining a region evaluation value corresponding to the first feature description factor from a preset region evaluation value library; the region evaluation value library is provided with region evaluation values corresponding to different first feature description factors, and the higher the region evaluation value is, the less the output content of the corresponding idle display region affects the content region with the current use requirement of the user;
and after traversing the idle display area, outputting and displaying the simulation processing demand recommendation list in the idle display area corresponding to the maximum area evaluation value.
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