Spatiotemporal simulation apparatus using charge, parity, time (CPT) properties and time synchronization apparatus between applications through repeated measurements of sequential data used therefor

Abstract

The present invention relates to spatiotemporal simulation and time synchronization using CPT properties, and provides a spatiotemporal simulation apparatus using CPT properties and a time synchronization apparatus between applications through repeated measurements of sequential data used therefor. The present invention can be applied to metaverse, augmented reality (AR), virtual reality (VR), a brain computer interface (BCI), and a brain machine interface (BMI) by using a method of implementing the physical concept of the universe into space and time through computations, and enables time synchronization between applications through repeated measurements of sequential data for a server to which terminals, such as AR and VR, connected to a metaverse environment are connected, and the terminals.

Description

A spatiotemporal simulation device using the CPT (CHARGE, PARITY, TIME) properties and a time synchronization device between applications through repeated measurements of the sequential data used therein.

[0001] The present invention relates to a space-time simulation using CPT properties, and can be applied to metaverse, AR, VR, BCI (Brain Computer Interface), BMI (Brain Machine Interface) through a method of implementing a physical concept of the universe into space-time through calculation, and relates to a space-time simulation device using CPT properties that enables time synchronization between applications through repeated measurement of sequential data for a server and terminals connected to terminals such as AR (Augmented Reality) and VR (Virtual Reality) connected to a metaverse environment, and a time synchronization device between applications through repeated measurement of sequential data used therein.

[0002]

[0003] Maps are a representative example of using existing real-world spatial information, and there have been many services that provide information linked to these maps.

[0004] Examples include GPS-based car navigation systems and online guidance services that combine maps and spatial information. However, because these services are map-based, they only provide a two-dimensional view, failing to provide the spatial experience you perceive with your own eyes. Attempts to use satellite imagery for maps or expand the two-dimensional space to create a 2.5D view that appears three-dimensional have failed to overcome these limitations.

[0005] There have been attempts to utilize existing virtual reality or computer graphics technologies to provide a sense of space. Early attempts produced three-dimensional spaces that were either unrelated to the real world or merely mimicked it, failing to replicate it. With technological advancements, recent attempts have even produced nearly identical versions of the real world in some areas.

[0006] However, the three-dimensional space created identically to the current real world only creates the real world at the time of creation (point in time), and does not take into account the appearance of the past world or the future appearance that will change from now on.

[0007] Information isn't limited to the present. From the accumulated information of the past, information generated over time increases exponentially. Existing online knowledge searches utilize keyword-based search methods to provide knowledge, but this approach has limitations in accessing information accumulated over time.

[0008] Therefore, methods for transforming information into knowledge are gaining attention. One such method is information visualization. Services that combine spatial information and knowledge are examples of visualization. However, despite its importance, temporal information has not yet been integrated into either spatial or knowledge. Therefore, a method that combines temporal information with spatial information and knowledge is needed.

[0009] Meanwhile, with the development of processing technology in computing devices and the diversification of multimedia environments, content playback technologies are being implemented in which multiple terminals execute a single process simultaneously, for example, outputting a portion of the entire image on multiple output devices, thereby outputting one piece of content on a single monitor using multiple output devices.

[0010] This is possible by implementing and controlling a terminal structure of a series of client-server environments or multiple client environments that matches the process area to execute a part of the entire process for each terminal based on the location and identification information of each terminal when executing the process, and executes the corresponding process simultaneously for each terminal.

[0011] In these environments, particularly those where a specific video is split and output to each terminal to play a single piece of content, such as multimedia playback, the execution timing of each process on each terminal must be completely synchronized. This is because even the slightest difference in multimedia playback timing between terminals makes it impossible to play a single piece of content.

[0012] In particular, there is a growing demand for applications that require consistent time across multiple devices, such as the recently garnered attention of the metaverse, VR, and AR. Time sharing for these applications can be achieved by minimizing errors between servers and connected devices. For example, there are methods that compensate for time differences based solely on the connection speed between them. However, while these methods can quickly correct results, they lack insight into the order or speed of computations occurring on the device in question, a challenge that remains to be addressed.

[0013]

[0014] Accordingly, the present invention provides a space-time simulation device using the CPT (Charge, Parity, Time) property that enables CPT symmetry, which is an agreed-upon basic premise of particle and statistical physics, to operate as an axiom of space-time, and that can be used in metaverse, AR, VR, BCI (Brain Computer Interface), BMI (Brain Machine Interface) devices or equipment through a device that implements the universe of physical concepts into space-time through computation, and that enables time synchronization between applications through repeated measurements of sequential data in servers and terminals such as AR (Augmented Reality) and VR (Virtual Reality) connected to the metaverse environment by transmitting data with sequential rules together during communication between servers and terminals on which the same application is installed, and a time synchronization device between applications through repeated measurements of sequential data used therein.

[0015]

[0016] The present invention comprises: an external connection unit (100) connected to an external device; an interaction derivation unit (200) for deriving changes in physical quantities that occur through interaction observations of physical quantities for space-time simulation; a correction derivation unit (300) for deriving a constant sum of energy in space by CPT symmetry based on an incremental vector or matrix or tensor generated from the interaction derivation unit (200), deriving asymmetry that occurs in space-time to follow a certain limit, deriving asymmetry that occurs in time to gradually become symmetrical over time, summing the entire sum of energy, electromagnetic energy, gravitational energy, strong energy and weak energy vectors or matrices or tensors for each time frame, and storing energy vectors or matrices or tensors that have not yet been reflected in each time frame while managing the entire sum of energy vectors or matrices or tensors to be constant; The present invention provides a space-time simulation device using CPT properties, characterized in that it comprises a physical quantity reduction unit (400) that determines the mass of elementary particles according to the electromagnetic force, gravity, strong and weak force energy and the occurrence level of CPT asymmetry of the interaction derivation unit (200) and the correction derivation unit (300), sets the relationship between mass and energy conversion and each other, and stores the corresponding time frame; and a physical quantity storage unit (500) that stores the corresponding time frame as data based on the state of the material with respect to the electromagnetic field, gravitational field, strong or weak force set and stored in the physical quantity reduction unit (400).

[0017] Here, the external connection part (100) connected to an external device is characterized by being connected to a metaverse, AR (Augmented Reality), VR (Virtual Reality), BCI (Brain Computer Interface), BMI (Brain Machine Interface) device or device, or a server, PC, smartphone, or smart device.

[0018] And, the space-time simulation device using the CPT property is characterized in that it further includes an external connection storage unit (600) in which data transmitted to an external device through the external connection unit (100) is stored, and an interaction storage unit (700) in which changes in physical quantities occurring through interaction observation of physical quantities derived from the interaction derivation unit (200) are derived as data and stored.

[0019]

[0020] In addition, the present invention relates to a device for time synchronization between applications through repeated measurement of ordered data, comprising: a data generation unit (1100) for generating ordered data sequentially in a physical continuous space according to a logical order, and generating ordered data non-randomly according to rules predefined or set in the order in which the data is presented; an internal data storage unit (1200) for storing the ordered data generated by the data generation unit (1100); a communication input / output unit (1300) for performing communication with a server for time synchronization between applications as well as a terminal connected to the server, and extracting the received ordered data, the time at which the received ordered data was generated, and the time at which the data was received from the received communication when an incoming communication occurs, and distinguishing them according to the connection, and adding the newest result data stored in the internal data storage unit (1200) and the time at which the corresponding data was generated to the output communication when an output communication occurs; an external data storage unit (1400) for storing data input to and data output from the communication input / output unit (1300); The present invention provides a device for time synchronization between applications through repeated measurement of sequential data, characterized in that it comprises a connection comparison unit (1500) for comparing the sequential data stored in the internal data storage unit (1200) with the input data and output data stored in the external data storage unit (1400) to calculate the difference between the server and the terminal connected to the server; and a data notification unit (1600) for transmitting the result value of the difference between the server and the terminal connected to the server calculated by the connection comparison unit (1500) to the server or the terminal connected to the server so that time synchronization is achieved between devices on which the same application is installed.

[0021] And the above server is a server connected to terminals such as AR (Augmented Reality) and VR (Virtual Reality) that are connected to the metaverse environment, and may include a cloud, and the terminal is characterized by including at least one of an AR (Augmented Reality) device, a VR (Virtual Reality) device, a PC, a smartphone, and a smart device.

[0022]

[0023] According to the present invention, the following effects are achieved.

[0024] First, it has the effect of providing a method that utilizes a device that implements the physical concept of the universe in space and time through computation in a metaverse, AR (Augmented Reality), VR (Virtual Reality), BCI (Brain Computer Interface), BMI (Brain Machine Interface) device or device, or server, PC, smartphone, smart device, etc.

[0025] Second, it has the effect of reducing connection errors by enabling quantified evidence or appropriate correction within various servers and terminals within the metaverse, VR, and AR.

[0026] Third, in communication systems that require precise timing, such as auctions and stock trading, it can provide quantifiable grounds for decision-making or appropriate compensation methods.

[0027] Fourth, when utilizing blockchain, a device can be provided to provide quantified evidence or an appropriate compensation method when competition in processing order occurs due to different processing speeds for each client.

[0028]

[0029] Figure 1 is a block diagram illustrating an embodiment of a space-time simulation device using CPT properties according to the present invention.

[0030] Figure 2 is a block diagram for explaining an example of an external connection part in a space-time simulation device using CPT properties according to the present invention.

[0031] Figure 3 is a block diagram for explaining an embodiment of an interaction derivation unit in a space-time simulation device using CPT properties according to the present invention.

[0032] Figure 4 is a block diagram for explaining an example of a correction derivation unit in a space-time simulation device using CPT properties according to the present invention.

[0033] Figure 5 is a block diagram for explaining an embodiment of a physical quantity reduction unit in a space-time simulation device using CPT properties according to the present invention.

[0034] FIG. 6 is a block diagram illustrating an embodiment of an inter-application time synchronization device through repeated measurements of sequential data used in a spatiotemporal simulation device using CPT properties according to the present invention.

[0035] Fig. 7 is a block diagram for explaining an embodiment of the data generation unit shown in Fig. 6.

[0036] Fig. 8 is a block diagram for explaining an embodiment of the communication input / output unit shown in Fig. 6.

[0037] Fig. 9 is a block diagram for explaining an embodiment of the connection comparison unit shown in Fig. 6.

[0038] Fig. 10 is a block diagram for explaining an embodiment of the data notification unit shown in Fig. 6.

[0039]

[0040] The present invention comprises: an external connection unit (100) connected to an external device; an interaction derivation unit (200) for deriving changes in physical quantities that occur through interaction observations of physical quantities for space-time simulation; a correction derivation unit (300) for deriving a constant sum of energy in space by CPT symmetry based on an incremental vector or matrix or tensor generated from the interaction derivation unit (200), deriving asymmetry that occurs in space-time to follow a certain limit, deriving asymmetry that occurs in time to gradually become symmetrical over time, summing the entire sum of energy, electromagnetic energy, gravitational energy, strong energy and weak energy vectors or matrices or tensors for each time frame, and storing energy vectors or matrices or tensors that have not yet been reflected in each time frame while managing the entire sum of energy vectors or matrices or tensors to be constant; The present invention relates to a space-time simulation device using CPT properties, comprising: a physical quantity reduction unit (400) for determining the mass of elementary particles according to the electromagnetic force, gravity, strong and weak force energies and the occurrence level of CPT asymmetry of the interaction derivation unit (200) and the correction derivation unit (300), for setting the relationship between mass and energy conversion and each other, and for storing the corresponding time frame; and a physical quantity storage unit (500) for storing the corresponding time frame as data based on the state of a substance with respect to the electromagnetic field, gravitational field, strong or weak force set and stored in the physical quantity reduction unit (400).

[0041]

[0042] In addition, the present invention relates to a device for time synchronization between applications through repeated measurement of ordered data, comprising: a data generation unit (1100) that generates ordered data sequentially in a physical continuous space according to a logical order, and that generates ordered data non-randomly according to rules predefined or set in the order in which the data is presented; an internal data storage unit (1200) that stores the ordered data generated by the data generation unit (1100); a communication input / output unit (1300) that performs communication with a server for time synchronization between applications as well as a terminal connected to the server, and when an incoming communication occurs, extracts the received ordered data, the time at which the received ordered data was generated, and the time at which the data was received from the incoming communication, and distinguishes them according to the connection, and when an output communication occurs, adds the most recent result data stored in the internal data storage unit (1200) and the time at which the corresponding data was generated to the output communication; an external data storage unit (1400) that stores data input to and data output from the communication input / output unit (1300); The present invention relates to an inter-application time synchronization device through repeated measurement of sequential data, comprising: a connection comparison unit (1500) for comparing sequential data and data stored in the internal data storage unit (1200) and the external data storage unit (1400) respectively to calculate a difference between the server and a terminal connected to the server; and a data notification unit (1600) for transmitting a result value of the difference between the server and the terminal connected to the server calculated by the connection comparison unit (1500) to the server or the terminal connected to the server so that time synchronization is achieved between devices on which the same application is installed.

[0043]

[0044] A preferred embodiment of the present invention is described in detail with reference to the attached drawings as follows.

[0045] In addition, the terms used in the present invention have been selected as general terms widely used at present as much as possible. However, in certain cases, there are terms arbitrarily selected by the applicant, and in such cases, the meanings thereof have been described in detail in the description of the relevant invention. Therefore, it is to be noted that the present invention should be understood based on the meanings of the terms, not simply the names of the terms. In addition, in describing the embodiments, descriptions of technical contents that are well known in the technical field to which the present invention pertains and are not directly related to the present invention are omitted. This is to convey the gist of the present invention more clearly without obscuring it by omitting unnecessary explanations.

[0046]

[0047] FIG. 1 is a block diagram for explaining an embodiment of a space-time simulation device using CPT properties according to the present invention, FIG. 2 is a block diagram for explaining an embodiment of an external connection part in a space-time simulation device using CPT properties according to the present invention, FIG. 3 is a block diagram for explaining an embodiment of an interaction derivation part in a space-time simulation device using CPT properties according to the present invention, FIG. 4 is a block diagram for explaining an embodiment of a correction derivation part in a space-time simulation device using CPT properties according to the present invention, and FIG. 5 is a block diagram for explaining an embodiment of a physical quantity reduction part in a space-time simulation device using CPT properties according to the present invention.

[0048] The spatiotemporal simulation device using the CPT property according to the present invention is intended to be applicable to metaverse, AR (Augmented Reality), VR (Virtual Reality), BCI (Brain Computer Interface), BMI (Brain Machine Interface) devices or equipment, or servers, PCs, smartphones, smart devices, etc., and is configured to include an external connection unit (100), an interaction derivation unit (200), a correction derivation unit (300), a physical quantity reduction unit (400), a physical quantity storage unit (500), an external connection storage unit (600), and an interaction storage unit (700), as shown in FIG. 1.

[0049] Here, the external connection part (100) is connected to an external device such as a metaverse, AR (Augmented Reality), VR (Virtual Reality), BCI (Brain Computer Interface), BMI (Brain Machine Interface) device or device, or a server, PC, smartphone, smart device, etc.

[0050] The interaction derivation unit (200) derives changes in physical quantities in space and time that occur through interaction observations of physical quantities to apply them to simulations. Here, physical quantities are energy + mass.

[0051] For reference, in physics, about the four fundamental forces of the universe,

[0052] Gravity - the force produced by mass

[0053] Electromagnetic force - the force produced by electric charges

[0054] Strong - interparticle attraction

[0055] Weak force - repulsive force between particles

[0056] is defined as,

[0057] All power is composed of energy,

[0058] Gravitational energy = gravity + gravitational potential

[0059] Electromagnetic energy = electromagnetic force + electromagnetic potential

[0060] Strong Energy = Strong + Strong Potential

[0061] Force energy = weak force + weak force potential

[0062] is defined as

[0063] Also, the basic premise (= axiom) of physics is,

[0064] * Everything is preserved.

[0065] Law of Conservation of Energy

[0066] Law of Mass-Energy Equivalence

[0067] There is this.

[0068] Meanwhile, CPT symmetry

[0069] C symmetry - charge symmetry (conserved through energy that is symmetrical when asymmetry occurs)

[0070] P symmetry - parity symmetry (conserved through symmetrical materials when asymmetry occurs)

[0071] T-symmetry - time symmetry (when asymmetry occurs, it is preserved through the symmetric time)

[0072] is defined as

[0073] Accordingly, the universe

[0074] *It can be said that the constituent matter (=particles) exists, gravity, electromagnetic force, strong force, and weak force exist, and they interact with energy, and that conservation must occur when asymmetry occurs according to the CPT symmetry axiom.

[0075] And in the present invention, the metaverse is a simulation that satisfies the premise of the universe and a particle simulation that can interact with it is performed.

[0076] Accordingly, particle simulation is to input the basic properties of particles, such as mass, charge, and position, and calculate how these change over time through gravity, electromagnetic force, strong force, and weak force.

[0077] The correction derivation unit (300) derives the sum of energy in space by CPT symmetry based on the incremental vector or matrix or tensor from the interaction derivation unit (200), induces asymmetry occurring in space-time to follow a certain limit, induces asymmetry occurring in time to gradually become symmetrical as time passes, and sums the entire sum of energy, electromagnetic energy, gravitational energy, strong energy and weak energy vectors or matrices or tensors for each time frame, and stores energy vectors or matrices or tensors that have not yet been reflected in the time frame in managing the entire sum of energy vectors or matrices or tensors at a constant level for each time frame.

[0078] The physical quantity reduction unit (400) determines the mass of the elementary particle according to the electromagnetic force, gravity, strong force, weak force energy and the occurrence level of CPT asymmetry of the interaction derivation unit (200) and the correction derivation unit (300), sets the relationship between mass and energy conversion and each other, and stores the corresponding time frame.

[0079] The physical quantity storage unit (500) stores the corresponding time frame as data based on the state of the material with respect to the electromagnetic force, gravitational field, strong force, or weak force set and stored in the physical quantity reduction unit (400).

[0080] The external connection storage unit (600) stores data transmitted to an external device through the external connection unit (100).

[0081] The interaction storage unit (700) derives data from changes in physical quantities that occur through interaction observation of physical quantities derived from the interaction derivation unit (200).

[0082] For reference, the present invention,

[0083] In the user's 'observation',

[0084] The ‘space’ called Jang,

[0085] By dynamic 'interaction',

[0086] There is a difference in 'time' for each space.

[0087] Here, the field is a repository of “physical quantities,” and the interaction creates the next “time” as a response to the “observation” of the four fields, and the observation requires “correction” at every moment.

[0088] And 1 observation = 1 interaction occurs,

[0089] -> The time length for this is determined by time compensation,

[0090] -> Time correction = time difference by space + time difference due to interaction.

[0091] Also, the processing of 1 interaction is

[0092] -> Therefore, rather than moment-by-moment events, use the concept of time frames frame by frame

[0093] -> Events that occur during a specific time period are absorbed and applied.

[0094] And the change in 1 physical quantity is

[0095] Events that cause physical quantity changes due to interaction

[0096] -> Physical quantity correction is notified to each connection according to the corrected space-time.

[0097] To put this in simple order,

[0098] 1. Collect observation events from connections for the minimum time unit.

[0099] 2. Deriving overall interactions

[0100] 3. Apply different corrections to the interaction over time.

[0101] 4. Physical quantity changes are applied.

[0102] 1 observation = 1 interaction

[0103] -> The time length for this is determined by time compensation

[0104] -> Time correction = time difference by space + time difference due to interaction

[0105] 1. Handling interactions

[0106] -> Therefore, rather than moment-by-moment events, use the concept of time frames frame by frame

[0107] -> Absorb and apply events that occur during a specific time period

[0108] 1. Change in physical quantity

[0109] Events that cause physical quantity changes due to interaction

[0110] -> Notify each connection of physical quantity correction according to the corrected space-time

[0111] am.

[0112] Meanwhile, the external connection unit (100) may further include a user interface (UI) device for connecting to an external device or device, and may be connected to an external device or device.

[0113] And the interaction derivation unit (200), correction derivation unit (300), and physical quantity reduction unit (400) are configured as a program and can be driven through a microprocessor (CPU).

[0114] In addition, the physical quantity storage unit (500), external connection storage unit (600), and interaction storage unit (700) may be configured as a memory (ROM, RAM, HDD, etc.).

[0115]

[0116] FIG. 2 is a block diagram illustrating an example of an external connection unit in a space-time simulation device using CPT properties according to the present invention. The external connection unit (100) is composed of a connection encoding unit (110), a connection transmission unit (120), a connection decoding unit (130), and a connection transmission unit (140).

[0117] The connection encoding unit (110) encodes the physical quantity stored in the physical quantity storage unit (500) and the observation of the interaction of electromagnetic force, gravity, strong force, and weak force in an identifiable state.

[0118] The connection transmission unit (120) transmits the code created by the connection encoding unit (110) to an external connection.

[0119] The connection decoding unit (130) decodes a code made of electromagnetic field or gravitational field or strong or weak force energy or identifiable material into an observation of the interaction of electromagnetic force, gravity, strong force, and weak force with respect to a physical quantity and transmits it to the interaction derivation unit (200) and the correction derivation unit (300).

[0120] The connection transmitter (140) transmits an external connection to the connection decryption unit (130).

[0121]

[0122] Meanwhile, FIG. 3 is a block diagram illustrating an example of an interaction derivation unit in a space-time simulation device using CPT properties according to the present invention. The interaction derivation unit (200) is composed of an electromagnetic force interaction derivation unit (210), a gravity interaction derivation unit (220), a strong interaction derivation unit (230), and a weak force interaction derivation unit (240).

[0123] The electromagnetic force interaction derivation unit (210) derives the change in physical quantity that occurs through the observation of electromagnetic force interaction for the physical quantity obtained from the connection decoding unit (130) of the external connection unit (100). To explain this in more detail, the electromagnetic force interaction derivation unit (210) derives the increment of the electromagnetic energy fluctuation vector, matrix, or tensor for the electromagnetic force interaction in space where the fluctuation occurs for each observation. When you say,

[0124]

[0125] Through it, the increment of the electromagnetic energy fluctuation vector or matrix or tensor is derived.

[0126]

[0127] The gravity interaction derivation unit (220) derives the change in physical quantity that occurs through the observation of the gravity interaction for the physical quantity obtained from the connection decoding unit (130) of the external connection unit (100). To explain this in more detail, the gravity interaction derivation unit (220) increments the gravity energy fluctuation vector or matrix or tensor for the spatial gravity interaction in which the fluctuation occurs for each observation. When you say,

[0128]

[0129] Through this, the increment of the gravitational energy fluctuation vector or matrix or tensor is derived.

[0130]

[0131] The strong interaction dochuru (230) derives the change in physical quantity that occurs through the strong interaction observation of the physical quantity obtained from the connection decoding unit (130) of the external connection unit (100). To explain this in more detail, the strong interaction dochuru (230) derives the increment of the strong energy fluctuation vector or matrix or tensor for the spatial strong interaction in which the fluctuation occurred for each observation. When you say,

[0132]

[0133] Through this, the increment of a strong energy fluctuation vector or matrix or tensor is derived.

[0134]

[0135] The weak force interaction derivation unit (240) derives the change in physical quantity that occurs through the weak force interaction observation for the physical quantity obtained from the connection decoding unit (130) of the external connection unit (100). To explain this in more detail, the weak force interaction derivation unit (240) increments the weak force energy fluctuation vector or matrix or tensor for the spatial weak force interaction in which fluctuation occurs for each observation. When you say,

[0136]

[0137] Through this, the increment of the energy fluctuation vector or matrix or tensor is derived.

[0138]

[0139] And FIG. 4 is a block diagram for explaining an example of a correction derivation unit in a space-time simulation device using CPT properties according to the present invention, which is composed of a charge symmetry induction unit (310), an inversion symmetry induction unit (320), a time symmetry induction unit (330), an energy summation unit (340), and an asymmetric storage unit (350).

[0140] The charge symmetry induction unit (310) induces a constant sum of energy in space by C(Charge) symmetry among CPT symmetries based on the incremental vector, matrix, or tensor from the interaction derivation unit (200).

[0141] This charge symmetry induction part (310) is the total sum of the electromagnetic energy vector or matrix or tensor based on the energy sum part (340). and the total sum of the gravitational energy vector or matrix or tensor. About, go If it is bigger than this or to Deduct as much as possible, or go If it is smaller than this or According to the preset statistical condition of the physical quantity reduction unit (400), the maximum The electromagnetic and gravitational charge asymmetry control unit (0301) that adds as much as that, and the energy summation unit (340) based on the total sum of the strong energy vector or matrix or tensor and the total sum of the energy vector or matrix or tensor About, go If it is greater than As much as or In addition, Go and see If it's small or According to the preset statistical condition of the physical quantity reduction unit (400), the maximum It is configured to include a strong and weak force charge asymmetry control unit (312) that adds as much as, an electromagnetic and gravity charge asymmetry control unit (311), and a charge asymmetry post-processing unit (340) that transfers the remaining electromagnetic, gravity, weak force, and strong energy vector or matrix or tensor asymmetry remaining after the operation of the strong and weak force charge asymmetry control unit (312) to an asymmetric storage unit (350) by dividing them by time frame.

[0142] The inversion symmetry induction unit (320) induces the asymmetry that occurs in space-time due to P (Parity) symmetry among CPT symmetries based on the incremental vector, matrix, or tensor from the interaction derivation unit (200) to follow a certain limit.

[0143] This inversion symmetry induction part (320) is an increment of the electromagnetic energy fluctuation vector or matrix or tensor with respect to the interaction induction part (200). is the total energy fluctuation vector or matrix or tensor. Based on As it gets bigger The electromagnetic force reversal symmetry induction unit (321) that controls to be less than or equal to the gravitational force, and the gravitational interaction induction unit (322) that is the increment of the gravitational energy fluctuation vector or matrix or tensor is the total energy fluctuation vector or matrix or tensor. Based on Bigger than The gravity reversal symmetry induction unit (322) that controls to be less than or equal to, and the strong interaction induction unit (323) that is the increment of the strong energy fluctuation vector or matrix or tensor is the total energy fluctuation vector or matrix or tensor. is greater than or equal to 0 based on The strong inversion symmetry induction part (323) that controls to be less than or equal to and the weak force interaction derivation part (324) that is the increment of the weak force energy fluctuation vector or matrix or tensor is the total energy fluctuation vector or matrix or tensor. It is composed of a weak force reversal symmetry induction unit (324) that controls the weak force reversal symmetry to be greater than or equal to 0, an electromagnetic force reversal symmetry induction unit (321), a gravity reversal symmetry induction unit (322), a strong force reversal symmetry induction unit (0323), and an inversion asymmetry post-processing unit (325) that transfers the remaining electromagnetic, gravitational, weak force, and strong force energy vectors or matrix or tensor asymmetries to an asymmetric storage unit (350) by time frame.

[0144]

[0145] The time symmetry derivation unit (330) induces the asymmetry that occurs in time due to T (Time) symmetry among CPT symmetries based on the incremental vector, matrix, or tensor from the interaction derivation unit (200) to gradually become symmetrical as time passes.

[0146] This time symmetry induction unit (330) is composed of a sequential time symmetry induction unit (331) that reflects the electromagnetic, gravitational, strong, and weak energy vectors or matrices or tensor asymmetries stored in the asymmetric storage unit (350) so that the current time frame can be symmetric by adding them up from the beginning of the time frame to the most recently stored time frame, and an arbitrary time symmetry induction unit (322) that reflects the electromagnetic, gravitational, strong, and weak energy vectors or matrices or tensor asymmetries generated by the initial value or external connection unit (01) stored in the asymmetric storage unit (350) so that they can all be symmetric by the charge symmetry induction unit (310) and the inversion symmetry induction unit (320) from the beginning of the time frame to the most recently stored time frame.

[0147] The energy summation unit (340) is the total sum of the energy vector or matrix or tensor. , the total sum of electromagnetic energy vectors or matrices or tensors. , the total sum of the gravitational energy vector or matrix or tensor. , the total sum of the strong energy vector or matrix or tensor. , the total sum of the energy vector or matrix or tensor. Summed per time frame.

[0148] The asymmetric storage unit (350) manages the entire sum of energy vectors, matrices, or tensors by the charge symmetry induction unit (310), the inversion symmetry induction unit (320), and the time symmetry induction unit (330) to store energy vectors, matrices, or tensors that have not yet been reflected in the time frame by time frame.

[0149]

[0150] Meanwhile, FIG. 5 is a block diagram for explaining an example of a physical quantity reduction unit in a space-time simulation device using CPT properties according to the present invention, and is composed of a basic particle mass input unit (410), a basic particle and energy interaction input unit (420), an energy interaction input unit (430), and a result transmission unit (440).

[0151] Here, the elementary particle mass input unit (410) inputs the mass of the elementary particle that determines the mass of the elementary particle according to the electromagnetic force, gravity, strong force, weak force energy and the occurrence level of CPT asymmetry of the interaction derivation unit (200) and the correction derivation unit (300).

[0152] This elementary particle mass input unit (410) divides the case where the sum of the observed electromagnetic energy vector or matrix or tensor existing in the asymmetric storage unit (350) is the minimum unit that can be implemented into a case where it is greater than 0 and a case where it is less than 0, and here the increment of the electromagnetic energy fluctuation vector or matrix or tensor After adding, divide it into cases greater than, equal to, or less than 0, and input the particle mass for each of the 9 cases, which can be set to exist or not and mass.

[0153] In addition, the elementary particle mass input unit (410) divides the case where the sum of the observed gravitational energy vector or matrix or tensor existing in the asymmetric storage unit (350) is the minimum unit that can be implemented into a case where it is greater than 0 and a case where it is less than 0, and here the increment of the gravitational energy fluctuation vector or matrix or tensor After adding, enter the mass of the gravitational asymmetric star particle, which can be set for existence and mass in each of the 9 cases, divided into cases greater than, equal to, or less than 0.

[0154] And the elementary particle mass input unit (410) divides the case where the sum of the observed strong energy vector or matrix or tensor existing in the asymmetric storage unit (350) is the minimum unit that can be implemented into a case where it is greater than 0 and a case where it is less than 0, and here the increment of the strong energy fluctuation vector or matrix or tensor After adding, enter the mass of the strongly asymmetric star particle, which can be set for existence and mass in each of the nine cases, divided into cases greater than, equal to, or less than 0.

[0155] In addition, the elementary particle mass input unit (410) divides the observed weak force energy vector or matrix or tensor existing in the asymmetric storage unit (350) into the minimum unit that can be implemented, the case that is greater than 0, and the case that is less than 0, and here the increment of the weak force energy fluctuation vector or matrix or tensor After adding, the mass of the weak asymmetric star particle is entered, and the existence and mass can be set for each of the 9 cases, divided into cases greater than, equal to, or less than 0.

[0156] And, for each Higgs particle that mediates spontaneous mass asymmetry phenomenon for elementary particles set by the electromagnetic asymmetric star mediator mass input, the gravitational asymmetric star mediator mass input, the strong asymmetric star mediator mass input, and the weak asymmetric star mediator mass input, the existence and mass setting are possible.

[0157]

[0158] Meanwhile, the elementary particle and energy interaction input unit (420) sets the mass and energy conversion according to the energy fluctuation of the elementary particle determined in the elementary particle mass input unit (410) according to the time and types of electromagnetic force, gravity, strong force, and weak force energy.

[0159] These elementary particle and energy interaction input units (420) input electromagnetic particle interaction conditions that can set whether to follow Fermi-Dirac statistics or Bose-Einstein statistics as conditions for interaction with other particles and interaction with energy for each particle received when the electromagnetic asymmetric star particle mass is input in the elementary particle mass input unit (410).

[0160] And when the particle mass for each gravitational asymmetry is input in the elementary particle mass input section (410), the gravitational particle interaction conditions are input, which can set whether to follow Fermi-Dirac statistics or Bose-Einstein statistics as conditions for interaction with other particles and interaction with energy for each of the input particles.

[0161] In addition, when a strong asymmetric star particle mass is input in the elementary particle mass input section (410), a strong particle interaction condition is input that can set whether to follow Fermi-Dirac statistics or Bose-Einstein statistics as a condition for interaction with other particles and interaction with energy for each of the input particles.

[0162] And when the particle mass for each weak force asymmetry is input in the elementary particle mass input section (410), the weak force particle interaction conditions are input, which can set whether to follow Fermi-Dirac statistics or Bose-Einstein statistics as conditions for interaction with other particles and interaction with energy for each of the input particles.

[0163] In addition, when entering mass asymmetric particle mass in the elementary particle mass input section (410), a mass particle interaction condition is input that can set whether to follow Fermi-Dirac statistics or Bose-Einstein statistics as a condition for interaction with other particles and interaction with energy for each input particle.

[0164]

[0165] Meanwhile, the energy interaction input unit (430) sets the relationship between the fundamental particle mass input unit (410) and the electromagnetic, gravitational, strong, and weak force energies set in the fundamental particle and energy interaction input unit (420).

[0166] These energy interaction inputs (430) are electromagnetic energy increments. When observed potential energy is converted into kinetic energy It seems that each of them is reduced to being composed of , , An electromagnetic energy interaction input is performed, which sets the ratio allocated to each particle of the basic particle mass input unit (410).

[0167] In addition, the energy interaction input section (430) is a gravitational energy increment When kinetic energy is converted into potential energy in observations It seems that each of them is reduced to being composed of , , The gravitational energy interaction input is performed by setting the ratio allocated to each particle in the mass input section (040) of the elementary particle.

[0168] And the energy interaction input section (430) is the weak energy increment When observed, kinetic or potential energy is converted into strong energy. It seems that each of them is reduced to being composed of , , The input of the weak energy interaction is performed by setting the ratio of the allocation to each particle in the mass input section (040) of the elementary particle.

[0169] In addition, the energy interaction input section (430) is a strong energy increment When observed, kinetic or potential energy and weak energy are converted into It seems that each of them is reduced to being composed of , , A strong energy interaction input is performed, which sets the ratio of the mass of the elementary particle to be allocated to each particle in the mass input section (040).

[0170] The result transmission unit (440) executes the interaction derivation unit (200) and the correction derivation unit (300) based on the state of the material input from the elementary particle mass input unit (410), the elementary particle and energy interaction input unit (420), and the energy interaction input unit (430), and then stores the corresponding time frame in the physical quantity storage unit (500) and transmits it to the external connection unit (100).

[0171]

[0172] FIG. 6 is a block diagram for explaining an embodiment of an inter-application time synchronization device through repeated measurement of sequential data according to the present invention, FIG. 7 is a block diagram for explaining an embodiment of a data generation unit shown in FIG. 6, FIG. 8 is a block diagram for explaining an embodiment of a communication input / output unit shown in FIG. 6, FIG. 9 is a block diagram for explaining an embodiment of a connection comparison unit shown in FIG. 6, and FIG. 10 is a block diagram for explaining an embodiment of a data notification unit shown in FIG. 6.

[0173] The inter-application time synchronization device through repeated measurement of sequential data according to the present invention is as shown in FIGS. 6 to 10, and basically, as shown in FIG. 6, it is composed of a data generation unit (1100), an internal data storage unit (1200), a communication input / output unit (1300), an external data storage unit (1400), a connection comparison unit (1500), and a data notification unit (1600).

[0174] First, the data generation unit (1100) generates ordered data. Here, ordered data refers to data that is sequentially generated in a physical continuous space according to a logical order, and is not randomly generated according to rules that are predefined or set in the order in which the data is presented. This data creates reference data for a system, computer program device, server, etc. that generates ordered data. Based on this reference data, for example, terminals such as AR (Augmented Reality) and VR (Virtual Reality) that are connected to the metaverse environment generate starting reference data on a server. In other words, reference data for time synchronization between applications is generated.

[0175] The internal data storage unit (1200) stores sequential data generated from the data generation unit (1100).

[0176] The communication input / output unit (1300) performs communication with the server as well as the terminal connected to the server. Here, the server refers to a server connected to terminals such as AR (Augmented Reality) and VR (Virtual Reality) that are connected to the metaverse environment, and may include a cloud. The terminals may also include AR (Augmented Reality) devices, VR (Virtual Reality) devices, as well as PCs, smartphones, and smart devices.

[0177] The external data storage unit (1400) stores the data values ​​of the communication input / output unit (1300).

[0178] The connection comparison unit (1500) compares data stored in the internal data storage unit (1200) and the external data storage unit (1400) with each other and calculates the difference between the server and the terminal connected to the server.

[0179] The data notification unit (1600) notifies (transmits) the difference result value between the server and the terminal connected to the server calculated by the connection comparison unit (1500) to the server or the terminal connected to the server.

[0180]

[0181] Fig. 7 is a block diagram for explaining an embodiment of a data generation unit shown in Fig. 6, which is composed of a start reference data input unit (1110), a generation execution unit (1120), and a control unit (1130).

[0182] The start reference data input section (1110) inputs start reference data to generate ordered data for time synchronization between applications through repeated measurements of ordered data.

[0183] The generation execution unit (1120) receives data input from the start reference data input unit (1110) from the control unit (1130), starts and executes a program that generates sequential data based on the data, and transmits the resulting data along with the generation time to the control unit (1130).

[0184] The control unit (1130) sequentially increases and decreases the reference data starting from the start reference data input unit (1110), operates (controls) the generation execution unit (1120), and stores the result data of the sequential data from the generation execution unit (1120) together with the generation time in the internal data storage unit (1200).

[0185]

[0186] And FIG. 8 is an embodiment of the communication input / output unit (1300) shown in FIG. 6, and the communication input / output unit (1300) is composed of an input communication unit (1310) and an output communication unit (1320).

[0187] The input communication unit (1310) extracts the sequential data received from the communication input when a communication occurs, the time at which the sequential data received was generated, and the time at which the data was received, and stores them in the internal data storage unit (1200) by distinguishing them according to the connection.

[0188] When a communication is output to an external data storage unit (1400), the output communication unit (1320) adds the newest result data stored in the internal data storage unit (1200) and the time at which the result data was generated to the output communication.

[0189]

[0190] FIG. 9 is a block diagram for explaining an embodiment of a connection comparison unit (1500) shown in FIG. 6, and is composed of a connection measurement result value average calculation unit (1510), a connection intra-devaluation probability calculation unit (1520), a connection intra-devaluation probability calculation unit (1530), a connection distortion index calculation unit (1540), a connection correction measurement calculation unit (1550), a connection average correction measurement calculation unit (1560), a connection partial distortion probability calculation unit (1570), and a connection bias tendency calculation unit (1580).

[0191] The connection comparison unit (1500) compares data stored in the internal data storage unit (1200) and the external data storage unit (1400) with each other and calculates the differences between the server and the terminals (AR (Augmented Reality) devices, VR (Virtual Reality) devices) connected to the server, as well as PCs, smartphones, and smart devices.

[0192] The average calculation unit (1510) of the connection measurement result value calculates the average of the measurement result values ​​of the server, etc., connected to the terminals such as AR (Augmented Reality) and VR (Virtual Reality) that are connected to the metaverse environment based on each data stored in the external data storage unit (1400), using the following mathematical formula 1.

[0193]

[0194]

[0195] And the calculation unit for the probability of devaluation within the connection (1520).

[0196] The probability of devaluation within a connection is calculated using the following mathematical formula 2.

[0197]

[0198]

[0199] And the intra-connection appreciation probability calculation unit (1530) calculates the intra-connection appreciation probability using the following mathematical expression 3.

[0200]

[0201]

[0202] The connection distortion index calculation unit (1540) calculates the connection distortion index using mathematical formula 4.

[0203]

[0204]

[0205] The connection correction measurement calculation unit (1550) calculates the connection correction measurement using mathematical formula 5.

[0206]

[0207]

[0208] And the connection average correction measurement calculation unit (1560) calculates the connection average correction measurement using mathematical formula 6.

[0209]

[0210]

[0211] The connection partial distortion probability calculation unit (1570) calculates the connection partial distortion probability using mathematical formula 7.

[0212]

[0213]

[0214] Meanwhile, the connection bias tendency calculation unit (1580) calculates the connection bias tendency using mathematical formula 8.

[0215]

[0216] In this way, the present invention calculates the difference between the server and the terminal (AR (Augmented Reality) device, VR (Virtual Reality) device, PC, smartphone, smart device, etc.) connected to the server by comparing the data stored in the internal data storage (1200) and the external data storage (1400) through the connection comparison unit (1500), and calculates the average of the measurement result values ​​of the connection based on each data stored in the external data storage unit (1400) using the connection measurement result value average calculation unit (1510), calculates the probability of the intra-connection devaluation using the connection devaluation probability calculation unit (1520), calculates the probability of the intra-connection appreciation using the connection appreciation probability calculation unit (1530), and then calculates the distortion index of the connection through the connection distortion index calculation unit (1540), and calculates the correction measurement of the connection through the connection correction measurement calculation unit (1550), and then calculates the connection average correction measurement calculation unit (1560). The average correction measurement of the connection is calculated, and the partial distortion probability of the connection is calculated through the connection partial distortion probability calculation unit (1570), so that a quantified basis or appropriate correction is possible within various servers and terminals within the metaverse, VR, and AR, thereby reducing connection errors.

[0217] In addition, the connection bias tendency calculation unit (1580) calculates the connection bias tendency so that it can also prepare for the bias tendency.

[0218]

[0219] Fig. 10 is a block diagram for explaining an embodiment of a data notification unit (1600) shown in Fig. 6, which is composed of a time-phase change unit (610) and an operation processing load change unit (610).

[0220] The time phase change unit (610) of the data notification unit (1600) changes the time phase proportionally or inversely according to the situation and notifies the synchronization time transmission data for time synchronization of the server including the cloud connected to the terminals such as AR (Augmented Reality) and VR (Virtual Reality) connected to the metaverse environment, as well as the devices such as PCs, smartphones, and smart devices on which the same application is installed, based on the connection distortion index calculation unit (1540) or the connection partial distortion probability calculation unit (1570) or the connection bias tendency calculation unit (1580) calculated by the connection comparison unit (1500).

[0221] The operation processing load change unit (620) changes the operation processing load proportionally or inversely based on the connection distortion index calculation unit (1540), connection partial distortion probability calculation unit (1570), or connection bias tendency calculation unit (1580) calculated by the connection comparison unit (1500), and notifies the change to a server including a cloud connected to terminals such as AR (Augmented Reality) and VR (Virtual Reality) connected to the metaverse environment, as well as devices such as PCs, smartphones, and smart devices on which the same application is installed.

[0222] This invention can not only provide a quantifiable basis or an appropriate correction method for decision-making in communication systems requiring precise time tracking, such as auctions and stock trading, but also, when utilized in blockchain, it provides a device for a quantifiable basis or an appropriate correction method when competition occurs in the processing order due to different processing speeds for each client.

[0223]

[0224] While the present invention has been described with examples as described above, the present invention is not necessarily limited to these examples, and various modifications may be implemented without departing from the technical spirit of the present invention. Therefore, the examples disclosed in the present invention are intended to illustrate, rather than limit, the technical spirit of the present invention, and the scope of the technical spirit of the present invention is not limited by these examples. The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within a scope equivalent thereto should be interpreted as being included within the scope of the rights of the present invention.

[0225]

[0226] It can provide a device that implements the physical concept of the universe into space and time through computation in devices or servers, PCs, smartphones, smart devices, etc., such as metaverse, AR (Augmented Reality), VR (Virtual Reality), BCI (Brain Computer Interface), BMI (Brain Machine Interface), as well as a method using such devices.

[0227] It can be used to reduce errors in connection between various servers and terminals by enabling quantified evidence or appropriate correction within various servers and terminals within the metaverse, VR, and AR.

Claims

1. External connection part (100) connected to an external device; An interaction derivation unit (200) that derives changes in physical quantities that occur through interaction observation of physical quantities for space-time simulation; A correction derivation unit (300) that derives the sum of energy in space by CPT symmetry based on the incremental vector or matrix or tensor from the above interaction derivation unit (200), induces asymmetry occurring in space-time to follow a certain limit, induces asymmetry occurring in time to gradually become symmetrical as time passes, and sums the entire sum of electromagnetic energy, gravitational energy, strong energy and weak energy vectors or matrices or tensors for each time frame, and stores energy vectors or matrices or tensors that are not reflected in the time frame in managing the entire sum of energy vectors or matrices or tensors at a constant level for each time frame; A physical quantity reduction unit (400) that determines the mass of elementary particles according to the electromagnetic force, gravity, strong force, weak force energy and the occurrence level of CPT asymmetry of the interaction derivation unit (200) and the correction derivation unit (300), sets the relationship between mass and energy conversion and each other, and stores the corresponding time frame; and A space-time simulation device using CPT properties, characterized in that it comprises a physical quantity storage unit (500) that stores the corresponding time frame as data based on the state of a substance with respect to electromagnetic force, gravity, strong force or weak force energy set and stored in the above physical quantity reduction unit (400).

2. In paragraph 1, The external connection part (100) connected to the above external device is A spatiotemporal simulation device utilizing CPT properties characterized by being connected to a metaverse, AR (Augmented Reality), VR (Virtual Reality), BCI (Brain Computer Interface), BMI (Brain Machine Interface) device or device, or a server, PC, smartphone, or smart device.

3. In paragraph 1, A spatiotemporal simulation device using the above CPT properties, A spatiotemporal simulation device using CPT properties, characterized in that it further comprises an external connection storage unit (600) in which data transmitted to an external device through the external connection unit (100) is stored, and an interaction storage unit (700) in which changes in physical quantities occurring through interaction observation of physical quantities derived from the interaction derivation unit (200) are derived as data and stored.

4. In a device for time synchronization between applications through repeated measurements of sequential data, A data generation unit (1100) that generates data sequentially in a physical continuous space according to a logical order, and that generates non-randomly ordered data according to rules predefined or set in the order in which the data is presented; An internal data storage unit (1200) in which sequential data generated by the above data generation unit (1100) is stored; A communication input / output unit (1300) that performs communication with a terminal connected to the server as well as a server for time synchronization between applications, and extracts the sequential data received from the received communication, the time when the sequential data received was generated, and the time when the data was received, and classifies them according to the connection, and adds the most recent result data stored in the internal data storage unit (1200) and the time when the data was generated to the output communication when an output communication occurs; An external data storage unit (1400) in which data input and output to the above communication input / output unit (1300) are stored; A connection comparison unit (1500) that compares the sequential data stored in the internal data storage unit (1200) with the input data and output data stored in the external data storage unit (1400) to calculate the difference between the server and the terminal connected to the server; and A device for time synchronization between applications through repeated measurement of sequential data, characterized in that it comprises a data notification unit (1600) that transmits the difference result value between the server and the terminal connected to the server, calculated by the connection comparison unit (1500), to the server or the terminal connected to the server so that time synchronization is achieved between devices on which the same application is installed.

5. In paragraph 4, The above server is a server connected to terminals such as AR (Augmented Reality) and VR (Virtual Reality) that are connected to the metaverse environment, and may include a cloud. The above terminal is an inter-application time synchronization device through repeated measurement of sequential data, characterized in that it includes at least one of an AR (Augmented Reality) device, a VR (Virtual Reality) device, a PC, a smartphone, and a smart device.

Images