Control method and system for human body simulation model

Abstract

The present invention discloses a control method and system for a human body simulation model, which obtains multiple physiological parameters of a human body during a detection process and constructs a human body simulation model based on the multiple physiological parameters; takes medicine within a preset time and collects changes in the multiple physiological parameters; defines the change form of corresponding parts according to the changes in the multiple physiological parameters, and dynamically regulates the human body simulation model. At this time, the human body simulation model is dynamically adjusted based on the changes in the multiple physiological parameters, and the human body simulation model and the drug digestion model are further calculated to determine the effect coefficient of the medicine according to the drug digestion model and the human body simulation model, thereby accurately estimating the effect of the medicine. At the same time, the drug compensation logic is triggered based on the effect coefficient of the medicine and the human body simulation model, so as to construct the supporting part of the medicine in the drug compensation logic, so as to perform visual control on the medicine.

Description

Technical Field

[0001] The present invention relates to the technical field of servers, and in particular to a control method and system for a human body simulation model. Background Art

[0002] With the development of science and technology, human body simulation models are applied in life and can be created based on multiple physiological parameters. At this time, each part of the human body simulation model is created according to multiple physiological parameters. In the existing technology, the reaction of the drug in the human body is presented based on the changes in the human body simulation model, and the degree of drug digestion is monitored. However, the drug effect coefficient is not presented, and the effect of the drug cannot be accurately estimated. Summary of the Invention

[0003] The purpose of the present invention is to overcome the shortcomings of the existing technology. The present invention provides a control method and system for a human body simulation model. The human body simulation model is dynamically adjusted based on the changes in multiple physiological parameters, and the human body simulation model and the drug digestion model are further calculated to determine the effect coefficient of the drug based on the drug digestion model and the human body simulation model, thereby accurately estimating the effect of the drug. At the same time, the drug compensation logic is triggered based on the effect coefficient of the drug and the human body simulation model, so as to construct the supporting part of the drug in the drug compensation logic, so as to facilitate visual control of the drug.

[0004] In order to solve the above technical problems, an embodiment of the present invention provides a control method of a human body simulation model, which is applied to the visual control of drugs in the human body simulation model;

[0005] The control method of the human body simulation model comprises:

[0006] Acquire multiple physiological parameters of the human body during the detection process, and build a human body simulation model based on the multiple physiological parameters;

[0007] Take medicine within the preset time and collect changes in multiple physiological parameters;

[0008] Define the change form of the corresponding part according to the change amount of multiple physiological parameters, and dynamically control the human body simulation model;

[0009] Dynamically monitor drugs and freeze the spatial position of drugs relative to the human body simulation model;

[0010] A drug digestion model is constructed based on the spatial position and the changes in multiple physiological parameters;

[0011] Determine the drug effect coefficient based on the drug digestion model and the human body simulation model;

[0012] The drug compensation logic is triggered based on the drug effect coefficient and the human body simulation model.

[0013] Optionally, the acquiring of multiple physiological parameters of the human body during the detection process and constructing a human body simulation model based on the multiple physiological parameters includes:

[0014] Obtain multiple physiological parameters of the human body during the detection process;

[0015] forming a parameter set based on a plurality of physiological parameters;

[0016] Matching to the corresponding part of the human body according to the parameter set, at this time, the corresponding physiological parameter of the corresponding part of the human body is marked;

[0017] A human body simulation model is constructed based on various parts of the human body and parameter sets, and changes in the human body simulation model are monitored in real time.

[0018] Optionally, taking the medicine within a preset time and collecting changes in multiple physiological parameters include:

[0019] Taking medications at predetermined times and monitoring how the medications react to the body;

[0020] During the drug reaction process, multiple physiological parameters are dynamically detected, and parameter tracking is triggered as the physiological parameters change;

[0021] When a physiological parameter changes, parameter tracking is performed based on the physiological parameter, and a dynamic change graph of the physiological parameter within a preset time is formed;

[0022] Divide the different reaction stages of drugs based on dynamic change diagrams;

[0023] When the drug is in a stable state, the change amount of the physiological parameter is determined based on the dynamic change graph.

[0024] Optionally, defining the change form of corresponding parts according to the change amounts of multiple physiological parameters and dynamically regulating the human body simulation model includes:

[0025] Freeze the changes in multiple physiological parameters and match the corresponding parts based on each physiological parameter;

[0026] Defining a morphological change amount of a corresponding part based on a change amount of a physiological parameter;

[0027] Determining the changed shape according to the shape change amount of the corresponding part and the original shape of the part;

[0028] The state coefficient of the part is defined for the analysis of the change form;

[0029] If the state coefficient of the part is less than the preset state coefficient, the human body simulation model is dynamically adjusted;

[0030] If the status coefficient of the part is greater than the preset status coefficient, an early warning will be issued for the part.

[0031] Optionally, the dynamically monitoring the drug and fixing the spatial position of the drug relative to the human body simulation model includes:

[0032] Marking based on drugs and defining drug movement trajectory along the markers in the human body simulation model;

[0033] Defining the final location of the drug based on its movement trajectory;

[0034] Trigger dynamic monitoring based on the drug's final location to track the drug's digestion process in real time;

[0035] Freeze the spatial position of the drug relative to the human body simulation model.

[0036] Optionally, constructing a drug digestion model based on the spatial position and the changes in multiple physiological parameters includes:

[0037] Locate the spatial position and monitor the digestion process of the drug in real time;

[0038] Track changes in various physiological parameters based on the drug's digestion process;

[0039] The variation of each physiological parameter is collected, and a variation set is defined according to the variation of each physiological parameter.

[0040] Optionally, the constructing of the drug digestion model based on the spatial position and the changes in multiple physiological parameters further includes:

[0041] In the variation set, dynamic matching is performed based on the variation of each physiological parameter to define a dynamic balance of the variation of each physiological parameter;

[0042] A drug digestion model is constructed based on the changes in various physiological parameters to facilitate the prediction of drug effects based on the drug digestion model.

[0043] Optionally, determining the drug effect coefficient based on the drug digestion model and the human body simulation model includes:

[0044] Fixed-frame drug digestion models and human body simulation models;

[0045] Associating the drug digestion model with the human body simulation model, and defining a correlation coefficient between the drug digestion model and the human body simulation model;

[0046] Dynamically control the drug digestion model and the human body simulation model based on the correlation coefficient;

[0047] Based on the drug digestion model, the balance coefficient between the changes in various physiological parameters is output. At the same time, the reaction coefficient is output according to the human body simulation model.

[0048] The drug effect coefficient is determined based on the equilibrium coefficient and the reaction coefficient.

[0049] Optionally, triggering the drug compensation logic based on the drug effect coefficient and the human body simulation model includes:

[0050] The effect coefficient of the fixed-frame drug;

[0051] Match the response portion of the human simulation model based on the drug's effect coefficient;

[0052] Check the status of the reaction parts in the human body simulation model;

[0053] Define the part to be processed according to the state of the reaction part in the human body simulation model;

[0054] Triggering drug compensation logic based on the need processing part;

[0055] In the drug compensation logic, the set of supplementary drugs is determined based on the drug components in the drug effect coefficient and the part to be treated.

[0056] In addition, an embodiment of the present invention further provides a control system for a human body simulation model, the control system of the human body simulation model comprising:

[0057] An acquisition module is used to acquire multiple physiological parameters of the human body during the detection process and to construct a human body simulation model based on the multiple physiological parameters;

[0058] The acquisition module is used to take the medicine within a preset time and collect the changes in multiple physiological parameters;

[0059] A dynamic control module is used to define the change form of the corresponding part according to the change amount of multiple physiological parameters, and dynamically control the human body simulation model;

[0060] The spatial position module is used to dynamically monitor the drug and freeze the spatial position of the drug relative to the human body simulation model;

[0061] A drug digestion module is used to construct a drug digestion model based on the spatial position and changes in multiple physiological parameters;

[0062] Drug effect module, used to determine the drug effect coefficient based on the drug digestion model and the human body simulation model;

[0063] The drug compensation module is used to trigger the drug compensation logic based on the drug effect coefficient and the human body simulation model.

[0064] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple physiological parameters of the human body during the detection process are obtained, and a human body simulation model is constructed based on the multiple physiological parameters; the medicine is taken within a preset time, and the changes in multiple physiological parameters are collected; the change form of the corresponding part is defined according to the changes in multiple physiological parameters, and the human body simulation model is dynamically regulated; the medicine is dynamically monitored, and the spatial position of the medicine relative to the human body simulation model is fixed; a drug digestion model is constructed based on the spatial position and the changes in multiple physiological parameters; the effect coefficient of the medicine is determined according to the drug digestion model and the human body simulation model; the drug compensation logic is triggered based on the effect coefficient of the medicine and the human body simulation model, at this time, the human body simulation model is dynamically adjusted based on the changes in multiple physiological parameters, and the human body simulation model and the drug digestion model are further calculated so as to determine the effect coefficient of the medicine according to the drug digestion model and the human body simulation model, thereby accurately estimating the effect of the medicine, and at the same time, the drug compensation logic is triggered based on the effect coefficient of the medicine and the human body simulation model, so as to construct the supporting part of the medicine in the drug compensation logic, so as to perform visual control on the medicine. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0066] Figure 1 1 is a flow chart of a method for controlling a human body simulation model in an embodiment of the present invention;

[0067] Figure 2 is a schematic flow chart of S11 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0068] Figure 3 is a schematic flow chart of S12 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0069] Figure 4 1 is a flow chart of S13 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0070] Figure 5 is a schematic flow chart of S14 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0071] Figure 6 1 is a flow chart of S15 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0072] Figure 7 is a schematic flow chart of S16 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0073] Figure 8 is a schematic flow chart of S17 in the method for controlling a human body simulation model in an embodiment of the present invention;

[0074] Figure 9 Schematic diagram of the structure of the control system of the human body simulation model in the embodiment of the present invention;

[0075] Figure 10 The figure shows a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0076] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0077] Example

[0078] See also Figures 1 to 10 A control method for a human body simulation model is applied to visual control of drugs in the human body simulation model; the control method for the human body simulation model includes:

[0079] Step S11: acquiring multiple physiological parameters of the human body during the detection process, and constructing a human body simulation model based on the multiple physiological parameters;

[0080] Step S12: taking the medicine within a preset time and collecting changes in multiple physiological parameters;

[0081] Step S13: defining the change form of the corresponding part according to the change amounts of the multiple physiological parameters, and dynamically regulating the human body simulation model;

[0082] Step S14: Dynamically monitor the drug and freeze the spatial position of the drug relative to the human body simulation model;

[0083] Step S15: constructing a drug digestion model based on the spatial position and the changes in multiple physiological parameters;

[0084] Step S16: determining the drug effect coefficient based on the drug digestion model and the human body simulation model;

[0085] Step S17: triggering the drug compensation logic based on the drug effect coefficient and the human body simulation model.

[0086] In an embodiment of the present invention, through the method in the embodiment of the present invention, the human body simulation model is dynamically adjusted based on the change in multiple physiological parameters, and the human body simulation model and the drug digestion model are further calculated to determine the effect coefficient of the drug based on the drug digestion model and the human body simulation model, thereby accurately estimating the effect of the drug. At the same time, the drug compensation logic is triggered based on the effect coefficient of the drug and the human body simulation model, so as to construct the supporting part of the drug in the drug compensation logic, so as to facilitate visual control of the drug.

[0087] In step S11, a plurality of physiological parameters of the human body during the detection process are obtained, and a human body simulation model is constructed based on the plurality of physiological parameters;

[0088] In the specific implementation process of the present invention, the specific steps may be:

[0089] S111: Acquire multiple physiological parameters of the human body during the detection process;

[0090] S112: forming a parameter set based on multiple physiological parameters;

[0091] S113: matching the corresponding part of the human body according to the parameter set, and marking the corresponding physiological parameter of the corresponding part of the human body;

[0092] S114: Constructing a human body simulation model according to various parts of the human body and the parameter set, and monitoring changes of the human body simulation model in real time.

[0093] In an embodiment of the present application, a human body enters a detection station and is detected in the detection station. At this time, multiple physiological parameters of the human body during the detection process are obtained, and the multiple physiological parameters are sorted according to time, so as to facilitate preliminary sorting of the multiple physiological parameters. At the same time, the multiple physiological parameters are classified according to type, so as to facilitate comprehensive processing of the multiple physiological parameters in combination with time and type, and then form a parameter set based on the multiple physiological parameters to ensure the rationality of the parameter set.

[0094] Furthermore, the parameter set is matched to the corresponding part of the human body. At this time, the corresponding part of the human body is marked with the corresponding physiological parameters, and the corresponding part of the human body is matched based on the physiological parameters, so that a human body simulation model can be constructed according to each part of the human body and the parameter set, thereby presenting the corresponding part and the corresponding physiological parameters in the human body simulation model, so as to monitor the physiological parameters and monitor the changes of the human body simulation model in real time, ensuring that the corresponding medicinal effect part is presented based on the changes in the human body simulation model.

[0095] In step S12, the drug is taken within a preset time, and changes in multiple physiological parameters are collected;

[0096] In the specific implementation process of the present invention, the specific steps may be:

[0097] S121: Take the medicine within the preset time and monitor the reaction of the medicine in the human body;

[0098] S122: During the drug reaction process, multiple physiological parameters are dynamically detected, and parameter tracking is triggered as the physiological parameters change;

[0099] S123: When a physiological parameter changes, parameter tracking is performed based on the physiological parameter, and a dynamic change graph of the physiological parameter within a preset time is generated;

[0100] S124: Divide the different reaction stages of drugs based on dynamic change diagrams;

[0101] S125: When the drug is in a stable state, determining a change amount of the physiological parameter based on the dynamic change graph.

[0102] In an embodiment of the present application, the drug is taken within a preset time, and the reaction of the drug in the human body is monitored. Positioning detection is performed after the drug is taken into the human body to facilitate monitoring of the drug reaction process. At this time, during the drug reaction process, multiple physiological parameters are dynamically detected, and parameter tracking is triggered as each physiological parameter changes, thereby matching dynamic tracking according to the changes in each physiological parameter, realizing real-time follow-up of changes in physiological parameters, and thus ensuring the control of changes in physiological parameters.

[0103] At this time, when a physiological parameter changes, parameter tracking is performed based on the physiological parameter, and a dynamic change graph of the physiological parameter within a preset time is formed. The dynamic change graph is formed based on the change of the physiological parameter and the corresponding time nodes, so as to facilitate dynamic management and control based on the dynamic change graph, and thus output a corresponding change curve according to the dynamic change graph, so as to facilitate overall control based on the change curves of multiple physiological parameters.

[0104] Furthermore, different reaction stages of the drug are divided based on the dynamic change graph. At this time, the reaction stage is presented as a whole according to the change curves of multiple physiological parameters, so as to ensure the stability of the estimated reaction stage. At the same time, it is compatible with the in-depth consideration of the changes in multiple physiological parameters. At this time, when the drug is in a stable state, the change amount of the physiological parameter is determined based on the dynamic change graph, so as to quote the change amount of the physiological parameter for further processing.

[0105] In step S13, the change form of the corresponding part is defined according to the change amount of the multiple physiological parameters, and the human body simulation model is dynamically controlled;

[0106] In the specific implementation process of the present invention, the specific steps may be:

[0107] S131: freezing changes in multiple physiological parameters, and matching corresponding parts based on each physiological parameter;

[0108] S132: defining a morphological change amount of a corresponding part based on a change amount of a physiological parameter;

[0109] S133: determining a changed shape according to the shape change amount of the corresponding part and the original shape of the part;

[0110] S134: defining the state coefficient of the part according to the analysis of the change form;

[0111] S135: If the state coefficient of the part is less than the preset state coefficient, dynamically adjust the human body simulation model.

[0112] S136: If the state coefficient of the part is greater than the preset state coefficient, an early warning is issued for the part.

[0113] In an embodiment of the present application, the changes in multiple physiological parameters are frozen, and the corresponding parts are matched based on each physiological parameter, so as to match the changes in multiple physiological parameters, and thus control the matched parts. At this time, the morphological change of the corresponding part is defined based on the change in a physiological parameter; the changed morphology is determined according to the morphological change of the corresponding part and the original morphology of the part, so as to control the changed morphology according to the changes in multiple physiological parameters, thereby feeding back to the human body simulation model and the usage status of the drug, thereby ensuring dynamic control of the efficacy of the drug.

[0114] At this point, the state coefficient of the part is defined based on the analysis of the changing form, and the human body simulation model is dynamically adjusted based on the state coefficient of the part. Therefore, if the state coefficient of the part is less than the preset state coefficient, the human body simulation model is dynamically adjusted. If the state coefficient of the part is greater than the preset state coefficient, an early warning is issued for the part, so that the part can be controlled as an abnormal part, thereby issuing an early warning for the abnormal part and realizing subsequent control of the abnormal part.

[0115] S14: Dynamically monitor the drug and freeze the spatial position of the drug relative to the human body simulation model;

[0116] In the specific implementation process of the present invention, the specific steps may be:

[0117] S141: Marking the drug and defining a drug movement trajectory along the marking in the human body simulation model;

[0118] S142: defining the final position of the drug according to the drug movement trajectory;

[0119] S143: Trigger dynamic monitoring based on the final location of the drug to follow the drug digestion process in real time;

[0120] S144: Freeze the spatial position of the drug relative to the human body simulation model;

[0121] In an embodiment of the present application, drugs are marked and a drug movement trajectory is defined along the mark on a human body simulation model to facilitate control of drug movement, thereby monitoring the degree of drug digestion at various locations along the drug movement trajectory.

[0122] At this time, the mark position is defined by monitoring the digestion degree of the drug at each position according to the drug movement trajectory, and the physiological parameters are controlled according to the mark position, so as to match the adjustment of the physiological parameters based on the digestion degree of the drug, thereby determining the final drug residue at the final position of the drug, so as to make the final determination of the drug effect based on the drug residue.

[0123] Therefore, the final position of the drug is defined according to the drug movement trajectory; dynamic monitoring is triggered based on the final position of the drug to follow the drug digestion process in real time, so as to carry out actual monitoring of the drug in the final position, thereby ensuring the monitoring of the drug in the final digestion stage, realizing the full-stage control of physiological parameters during the drug entry into the human body and the final digestion, and freezing the spatial position of the drug relative to the human body simulation model.

[0124] S15: constructing a drug digestion model based on the spatial position and changes in multiple physiological parameters;

[0125] In the specific implementation process of the present invention, the specific steps may be:

[0126] S151: Locate the spatial position and monitor the digestion process of the drug in real time;

[0127] S152: Tracking changes in various physiological parameters based on the drug digestion process;

[0128] S153: collecting the variation of each physiological parameter, and defining a variation set according to the variation of each physiological parameter;

[0129] S154: performing dynamic matching based on the variation of each physiological parameter in the variation set to define a dynamic balance of the variation of each physiological parameter;

[0130] S155: Constructing a drug digestion model based on the changes in each physiological parameter, so as to predict the effect of the drug based on the drug digestion model.

[0131] In an embodiment of the present application, the spatial position is located and the digestion process of the drug is monitored in real time, so as to control the digestion degree and medicinal degree of the drug at the final position. At this time, the change amount of each physiological parameter is tracked based on the digestion process of the drug, so as to control the change amount of each physiological parameter, thereby collecting the change amount of each physiological parameter, and defining a change amount set based on the change amount of each physiological parameter, and then collectively managing the change amount set.

[0132] At this time, in the set of changes, dynamic matching is performed based on the changes of each physiological parameter to define the dynamic balance of the changes of each physiological parameter, so as to facilitate preliminary balance matching in the set of changes, and then dynamically balance the changes of each physiological parameter, ensuring the adaptability of the changes of each physiological parameter. At the same time, a drug digestion model is constructed based on the changes of each physiological parameter, so as to predict the effect of the drug based on the drug digestion model.

[0133] S16: Determine the drug effect coefficient based on the drug digestion model and the human body simulation model;

[0134] In the specific implementation process of the present invention, the specific steps may be:

[0135] S161: Fixed-frame drug digestion model and human body simulation model;

[0136] S162: Associating the drug digestion model with the human body simulation model, and defining a correlation coefficient between the drug digestion model and the human body simulation model;

[0137] S163: Dynamically control the drug digestion model and the human body simulation model based on the correlation coefficient;

[0138] S164: Outputting a balance coefficient between changes in various physiological parameters based on the drug digestion model, and at the same time, outputting a reaction coefficient based on the human body simulation model;

[0139] S165: Determine the effect coefficient of the drug based on the balance coefficient and the reaction coefficient.

[0140] In an embodiment of the present application, the human body simulation model is dynamically adjusted based on the changes in multiple physiological parameters, and the human body simulation model and the drug digestion model are further calculated to determine the drug effect coefficient based on the drug digestion model and the human body simulation model, thereby accurately estimating the effect of the drug.

[0141] Therefore, the drug digestion model and the human body simulation model are associated, and the correlation coefficient between the drug digestion model and the human body simulation model is defined, so as to introduce the correlation coefficient, and then define the correlation level for the correlation coefficient, so as to dynamically regulate the drug digestion model and the human body simulation model according to the correlation coefficient, thereby realizing the adaptation between the drug digestion model and the human body simulation model, and at the same time, dynamic adjustment is performed based on the adaptation of the drug digestion model and the human body simulation model.

[0142] Therefore, the drug digestion model and the human body simulation model are dynamically controlled according to the correlation coefficient; the balance coefficient between the changes in various physiological parameters is output based on the drug digestion model, and at the same time, the reaction coefficient is output according to the human body simulation model; the effect coefficient of the drug is determined according to the balance coefficient and the reaction coefficient.

[0143] S17: triggering drug compensation logic based on drug effect coefficient and human body simulation model;

[0144] In the specific implementation process of the present invention, the specific steps may be:

[0145] S171: Effect coefficient of fixed-frame drug;

[0146] S172: Matching the response part in the human simulation model based on the drug effect coefficient;

[0147] S173: Check the status of the reaction part in the human body simulation model;

[0148] S174: defining a portion to be processed according to a state of a response portion in the human body simulation model;

[0149] S175: triggering medication compensation logic based on the need processing part;

[0150] S176: In the drug compensation logic, a set of supplementary drugs is determined based on the drug components in the drug effect coefficient and the part to be processed.

[0151] In an embodiment of the present application, the effect coefficient of the drug is fixed, and the effect coefficient of the drug is controlled so as to match the reaction part in the human body simulation model based on the effect coefficient of the drug, thereby checking the status of the reaction part in the human body simulation model.

[0152] At this time, the part to be processed is defined according to the state of the reaction part in the human body simulation model; the drug compensation logic is triggered based on the part to be processed; in the drug compensation logic, the set of supplementary drugs is determined based on the drug components in the drug effect coefficient and the part to be processed. Therefore, the drug compensation logic is triggered based on the drug effect coefficient and the human body simulation model, so as to construct the supporting part of the drug in the drug compensation logic, so as to facilitate visual control of the drug.

[0153] Example

[0154] See also Figure 9 , Figure 9 Schematic diagram of the structure of the control system of the human body simulation model in the embodiment of the present invention.

[0155] like Figure 9 As shown, a control system of a human body simulation model, the control system of the human body simulation model includes:

[0156] An acquisition module 21 is used to acquire multiple physiological parameters of the human body during the detection process and to construct a human body simulation model based on the multiple physiological parameters;

[0157] The collection module 22 is used to take the medicine within a preset time and collect the changes in multiple physiological parameters;

[0158] A dynamic control module 23 is used to define the change form of the corresponding part according to the change amount of multiple physiological parameters, and dynamically control the human body simulation model;

[0159] The spatial position module 24 is used to dynamically monitor the drug and freeze the spatial position of the drug relative to the human body simulation model;

[0160] a drug digestion module 25 for constructing a drug digestion model based on the spatial position and the changes in multiple physiological parameters;

[0161] a drug effect module 26 for determining a drug effect coefficient based on a drug digestion model and a human body simulation model;

[0162] The drug compensation module 27 is used to trigger the drug compensation logic based on the drug effect coefficient and the human body simulation model.

[0163] Example

[0164] See also Figure 10 , refer to the following Figure 10 An electronic device 40 according to this embodiment of the present invention will be described. Figure 10 The electronic device 40 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present invention.

[0165] like Figure 10 As shown, the electronic device 40 is a general-purpose computing device. Components of the electronic device 40 may include, but are not limited to, at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0166] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 performs the steps according to various exemplary embodiments of the present invention described in the above “Example Method” section of this specification.

[0167] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0168] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0169] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0170] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Figure 10 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. Figure 10 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0171] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0172] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. Furthermore, the computer program instructions are stored therein, and when the computer executes the computer program instructions, the computer executes the above methods.

[0173] In addition, the control method and system of the human body simulation model provided by the embodiments of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there may be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for controlling a human body simulation model, characterized in that: Applied to visual control of drugs in human body simulation models; The control method of the human body simulation model comprises: Acquire multiple physiological parameters of the human body during the detection process, and build a human body simulation model based on the multiple physiological parameters; Take medicine within the preset time and collect changes in multiple physiological parameters; Define the change form of the corresponding part according to the change amount of multiple physiological parameters, and dynamically control the human body simulation model; Dynamically monitor drugs and freeze the spatial position of drugs relative to the human body simulation model; A drug digestion model is constructed based on the spatial position and the changes in multiple physiological parameters, including: locating the spatial position and monitoring the drug digestion process in real time; tracking the changes in each physiological parameter based on the drug digestion process; collecting the changes in each physiological parameter and defining a change set based on the changes in each physiological parameter; dynamically matching the changes in the change set based on the changes in each physiological parameter to define a dynamic balance of the changes in each physiological parameter; and constructing a drug digestion model based on the changes in each physiological parameter to facilitate prediction of drug effects based on the drug digestion model. Determine the drug effect coefficient based on the drug digestion model and the human body simulation model; The drug compensation logic is triggered based on the effect coefficient of the drug and the human body simulation model, including: fixing the effect coefficient of the drug; matching the reaction part in the human body simulation model based on the effect coefficient of the drug; checking the status of the reaction part in the human body simulation model; defining the part to be processed according to the status of the reaction part in the human body simulation model; triggering the drug compensation logic based on the defined part to be processed; in the drug compensation logic, determining the set of supplementary drugs based on the drug components in the effect coefficient of the drug and the part to be processed; The method of determining the drug effect coefficient based on the drug digestion model and the human body simulation model includes: Fixed-frame drug digestion models and human body simulation models; Associating the drug digestion model with the human body simulation model, and defining a correlation coefficient between the drug digestion model and the human body simulation model; Dynamically control the drug digestion model and the human body simulation model based on the correlation coefficient; Based on the drug digestion model, the balance coefficient between the changes in various physiological parameters is output. At the same time, the reaction coefficient is output according to the human body simulation model. The drug effect coefficient is determined based on the equilibrium coefficient and the reaction coefficient.

2. The control method of the human body simulation model according to claim 1, characterized in that: The method of obtaining multiple physiological parameters of the human body during the detection process and constructing a human body simulation model based on the multiple physiological parameters includes: Obtain multiple physiological parameters of the human body during the detection process; forming a parameter set based on a plurality of physiological parameters; Matching to the corresponding part of the human body according to the parameter set, at this time, the corresponding physiological parameter of the corresponding part of the human body is marked; A human body simulation model is constructed based on various parts of the human body and parameter sets, and changes in the human body simulation model are monitored in real time.

3. The control method of the human body simulation model according to claim 2, characterized in that: The method of taking the medicine within a preset time and collecting changes in multiple physiological parameters includes: Taking medications at predetermined times and monitoring how the medications react to the body; During the drug reaction process, multiple physiological parameters are dynamically detected, and parameter tracking is triggered as the physiological parameters change; When a physiological parameter changes, parameter tracking is performed based on the physiological parameter, and a dynamic change graph of the physiological parameter within a preset time is formed; Divide the different reaction stages of drugs based on dynamic change diagrams; When the drug is in a stable state, the change amount of the physiological parameter is determined based on the dynamic change graph.

4. The control method of the human body simulation model according to claim 1, characterized in that: Defining the change form of the corresponding part according to the change amount of multiple physiological parameters and dynamically regulating the human body simulation model includes: Freeze the changes in multiple physiological parameters and match the corresponding parts based on each physiological parameter; Defining a morphological change amount of a corresponding part based on a change amount of a physiological parameter; Determining the changed shape according to the shape change amount of the corresponding part and the original shape of the part; The state coefficient of the part is defined for the analysis of the change form; If the state coefficient of the part is less than the preset state coefficient, the human body simulation model is dynamically adjusted; If the status coefficient of the part is greater than the preset status coefficient, an early warning will be issued for the part.

5. The control method of the human body simulation model according to claim 4, characterized in that: The method of dynamically monitoring the drug and fixing the spatial position of the drug relative to the human body simulation model includes: Marking based on drugs and defining drug movement trajectory along the markers in the human body simulation model; Defining the final location of the drug based on its movement trajectory; Trigger dynamic monitoring based on the drug's final location to track the drug's digestion process in real time; Freeze the spatial position of the drug relative to the human body simulation model.

6. A control system for a human body simulation model, characterized in that: The control system of the human body simulation model is applied to the control method of the human body simulation model according to any one of claims 1 to 5, and the control system of the human body simulation model includes: An acquisition module is used to acquire multiple physiological parameters of the human body during the detection process and to construct a human body simulation model based on the multiple physiological parameters; The acquisition module is used to take the medicine within a preset time and collect the changes in multiple physiological parameters; A dynamic control module is used to define the change form of the corresponding part according to the change amount of multiple physiological parameters, and dynamically control the human body simulation model; The spatial position module is used to dynamically monitor the drug and freeze the spatial position of the drug relative to the human body simulation model; A drug digestion module is used to construct a drug digestion model based on the spatial position and the changes in multiple physiological parameters, including: locating the spatial position and monitoring the drug digestion process in real time; tracking the changes in each physiological parameter based on the drug digestion process; collecting the changes in each physiological parameter and defining a change set based on the changes in each physiological parameter; dynamically matching the changes in the change set based on the changes in each physiological parameter to define a dynamic balance of the changes in each physiological parameter; and constructing a drug digestion model based on the changes in each physiological parameter to facilitate prediction of drug effects based on the drug digestion model. Drug effect module, used to determine the drug effect coefficient based on the drug digestion model and the human body simulation model; The drug compensation module is used to trigger the drug compensation logic based on the drug effect coefficient and the human body simulation model, including: fixing the drug effect coefficient; matching the reaction part in the human body simulation model based on the drug effect coefficient; checking the status of the reaction part in the human body simulation model; defining the part to be processed based on the status of the reaction part in the human body simulation model; triggering the drug compensation logic based on the defined part to be processed; in the drug compensation logic, determining the set of supplementary drugs based on the drug components in the drug effect coefficient and the part to be processed; The method of determining the effect coefficient of the drug based on the drug digestion model and the human body simulation model includes: freezing the drug digestion model and the human body simulation model; associating the drug digestion model and the human body simulation model, and defining the correlation coefficient between the drug digestion model and the human body simulation model; dynamically regulating the drug digestion model and the human body simulation model according to the correlation coefficient; outputting a balance coefficient between the changes in various physiological parameters based on the drug digestion model, and at the same time, outputting a reaction coefficient according to the human body simulation model; and determining the effect coefficient of the drug based on the balance coefficient and the reaction coefficient.

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