A space-time velocity conservation model device and method for precision measurement and control of engineering physical quantities

Abstract

The present application belongs to the field of precision measurement and control of engineering physical quantities and motion control technology. In view of the defects of traditional calculation model such as fragmentation, error accumulation and insufficient real-time performance, a space-time speed conservation model closed-loop measurement and control scheme is proposed. The space motion state is collected by a sensor, and the key engineering physical quantities are calculated by space-time orthogonal mapping and space-time unified characteristic parameter operation. The control signal is output to drive the actuator to form a closed loop. Without component splitting and empirical correction, the calculation efficiency and measurement and control accuracy can be significantly improved, and the present application is suitable for the fields of semiconductor, aerospace, hypersonic, inertial navigation, particle control and celestial simulation.

Description

Technical Field

[0001] This invention relates to the fields of engineering numerical calculation, precision measurement and control of physical quantities, aerospace flight control, hypersonic thermal protection, semiconductor device measurement and control, inertial navigation calculation, and high-energy particle device control. Specifically, it refers to an engineering physical quantity measurement and control device and method that is deeply integrated with physical hardware to form a sensing-computation-execution closed loop. Background Technology

[0002] Existing measurement and control systems suffer from four main deficiencies: 1. They rely on the separation and superposition of kinetic energy, potential energy, and internal energy components, depending on empirical corrections, leading to severe error accumulation; 2. Algorithms are disconnected from hardware, often relying on pure numerical simulations without forming closed-loop real-time control; 3. A general framework is lacking, resulting in poor cross-domain reusability and requiring improvement in the overall versatility and stability of the solution. As of the date of this application, no publicly available technology deeply integrates the spatiotemporal velocity conservation model with closed-loop measurement and control, indicating a significant technological gap in related solutions. These deficiencies have long existed in the field of engineering measurement and control, and no effective solutions have yet been found. This invention aims to fill this technological gap. Summary of the Invention

[0003] Technical problem: This invention aims to solve the technical problems of traditional measurement and control systems, such as low computational efficiency, insufficient accuracy, poor real-time performance, and weak versatility.

[0004] Key term definitions Spacetime velocity conservation model: refers to a physical computational model constructed based on the applicant's prior published academic literature, in which a unique correspondence is satisfied between spatial motion state and temporal motion state; this literature is published on the Zenodo platform; Spatial velocity: A standard physical quantity in classical physics, referring to the speed of motion of the measured object in three-dimensional physical space, which is directly collected by physical sensors; Time velocity: This invention introduces an auxiliary physical quantity to simplify the calculation logic and improve the overall calculation efficiency. From the perspective of intrinsic properties, this physical quantity can characterize the overall motion velocity of microscopic particles inside the measured object, and can also correspond to conventional physical quantities such as the rate of change of motion state in the engineering field. This parameter is only used to describe the motion characteristics of the measured object and does not refer to the speed of time itself. Spatiotemporal orthogonal mapping: refers to the canonical transformation rule that converts spatial motion parameters into temporal motion parameters, implemented as: V t = M(κ)・V s Wherein κ (spatial curvature factor) is the core correction factor of this patent, used to adapt to the spatiotemporal characteristics of different measured objects and working environments, M(κ) is the orthogonal transformation matrix constructed based on the spatiotemporal curvature factor κ, and V s V is the spatial motion state vector (the core includes spatial velocity). tIt is a time motion state vector (the core contains time velocity); Unified calculation of spatiotemporal characteristic parameters: This invention features an innovative integrated physical calculation method that uses a single comprehensive characteristic parameter to uniformly characterize spatiotemporal structure, energy ratio, force field strength, and orbital evolution laws, replacing the traditional multi-component split calculation and realizing the integrated synchronous calculation of multiple types of engineering physical quantities. The calculation process directly derives parameters such as total energy from the unified spatiotemporal characteristic parameter Z, rather than superimposing multiple independently measured energy components. Closed-loop measurement and control: refers to the complete physical control process of sensor acquisition - dedicated calculation - actuator driving, which is different from pure numerical simulation; Externally verifiable features: These are technical features that can be directly determined through signal acquisition, data analysis, and output comparison, and are used for evidence of infringement.

[0005] Subject matter eligibility criteria aligned with Supreme People's Court 2025 Judgment Summary Statement The technical solution of this invention fully complies with the patent protection subject matter identification standards stipulated in Article 1 of the "Summary of Judgments of the Intellectual Property Court of the Supreme People's Court (2025)": Specific application scenarios: The algorithm of this invention is specifically used in the technical field of precision measurement and control of engineering physical quantities, rather than as an abstract mathematical method; Solving technical problems using natural laws: The spatiotemporal orthogonal mapping and the unified operation and execution process of spatiotemporal unified feature parameters demonstrate the use of physical motion laws to solve technical problems such as poor real-time performance and low accuracy in engineering measurement and control. Achieved practical technical effects: Closed-loop measurement and control reduces computation time by 88.4% and improves measurement and control accuracy by 96.0%, demonstrating clear and quantifiable technical effects.

[0006] AI-assisted creation statement The core technical contents of this invention are: the construction of the spatiotemporal orthogonal mapping matrix M(κ), the spatiotemporal unified feature parameter operation rules, and the closed-loop measurement and control logic. These were all originally derived by the inventor based on physical axioms and theoretical derivations, and were not generated through AI model data training and fitting. The artificial intelligence tools are only used for text formatting, text typesetting assistance, formula symbol standardization, and reference format unification. They did not participate in the core algorithm conception, mathematical derivation, or technical solution design, and do not constitute an invention contribution. The inventor is a natural person.

[0007] Invention Ownership Statement The inventor of this invention is a natural person who has made substantial creative contributions to the inventive concept, technical solution design, experimental verification and parameter optimization; the artificial intelligence tool is only used as a text processing tool and does not constitute the inventor, which complies with the relevant provisions of the Patent Examination Guidelines regarding the identity of the inventor.

[0008] Ethical Compliance Statement The data acquisition in this invention uses legal and compliant physical sensor signals, collecting only motion parameters of engineering equipment and not personal information, biometric information, or classified data. The algorithm is applied in legal engineering equipment control scenarios, and the output results are used only for physical quantity measurement and control and motion adjustment, without producing discriminatory or harmful results, which complies with the requirements of Article 5 of the Patent Law regarding social morality and public interest. The high-precision calculation of this invention helps reduce the risk of engineering accidents and improve the safety of equipment operation, which is in line with the public interest orientation.

[0009] Overseas Review Preconditions Statement USPTO Compatibility: This invention relates to 6×6 matrix operations and real-time closed-loop control. The computational complexity is fundamentally different from the processing power of the human brain and cannot be completed by the human brain in a reasonable time. It does not fall under the category of "mental processes" as defined in MPEP 2106. EPO Compatibility: The algorithm of this invention is specifically designed for use in specific engineering and technical fields, solves clearly defined technical problems and produces reliable technical effects, and complies with the patentability requirements of the EPO 2026 guidelines regarding the application of AI algorithm technologies.

[0010] Core theoretical basis This invention relies on the applicant's prior published academic literature: Title: A Unified Theory of Celestial Time Effects, Planetary Precession, and Orbital Evolution Based on the Axiom of Spacetime Velocity Conservation Public platform: Zenodo This invention utilizes only the engineering-featured computational models and transformation rules from the aforementioned literature, without involving any disputes over physical principles, and relies solely on engineering effectiveness as the basis for the patent. The prior literature primarily records fundamental theoretical derivations and ideal operating condition examples, while this patent focuses on engineering-grade closed-loop measurement and control devices and methods; the application scenarios and implementation logic of the two are clearly distinct. This model can be theoretically verified through GPS system time deviation correction, accurately reflecting the changing patterns of time effects caused by motion. The spatiotemporal velocity conservation axiom disclosed in that literature provides a complete and verifiable theoretical foundation for the engineering application of this invention.

[0011] Technical issues and substantive technical contributions The practical technical problem solved by this invention is that traditional measurement and control systems suffer from low computational efficiency, insufficient accuracy, poor real-time performance, weak versatility, and their patentable subject matter is easily challenged. The mathematical contribution of this invention is to construct a mathematical transformation relationship between spatiotemporal orthogonal mapping and unified spatiotemporal characteristic parameter operations; The technical contribution of this invention is to deeply couple the above mathematical transformation with physical sensors and actuators to form a closed-loop measurement and control, abandon component splitting and empirical correction, and realize cross-domain universal, high-efficiency and high-precision engineering physical quantity calculation and real-time control, reducing the calculation time by 88.4% and improving the measurement and control accuracy by 96.0%.

[0012] Technical solution (I) Equipment Scheme A spatiotemporal velocity conservation model device for precise measurement and control of engineering physical quantities, characterized in that it comprises: The data acquisition module includes at least one of an accelerometer, a gyroscope, an inertial measurement unit, a particle detector, and a radar sensor, and is used to acquire physical space motion signals of the target object. The spatiotemporal mapping module is configured to perform spatiotemporal orthogonal mapping transformations to convert spatial motion states into temporal motion states. The feature parameter calculation module is configured to perform spatiotemporal unified feature parameter unified calculation and output at least one physical quantity from equivalent inertia, total energy, potential barrier criticality, dynamic constraint, heat flux threshold, and orbital precession. The engineering control module is configured to convert physical quantities into control signals such as voltage, thrust, rudder deflection, and grid voltage to drive the actuators to move. The storage module and the communication module are used to store the operation rules and to realize data interaction, respectively. (II) Methodology A spatiotemporal velocity conservation model method for precise measurement and control of engineering physical quantities, characterized by comprising the following steps: S1. Real-time acquisition of spatial motion state parameters of the target object through physical sensors, including velocity, displacement, acceleration, angular velocity, and angular displacement, using international standard physical units; S2. The state transformation is completed based on the spatiotemporal orthogonal mapping rule. The temporal motion state parameters are uniquely obtained from the spatial state parameters, without empirical fitting or iterative optimization. S3. Solving key physical quantities in engineering based on unified spatiotemporal characteristic parameters; S4. Convert physical quantities into control signals and output them to the actuators to adjust the motion state of the target object, forming a physical closed-loop measurement and control system of sensing-computation-execution. The actuators include semiconductor drivers, spacecraft thrusters, spacecraft servos, navigation servo mechanisms, and particle control devices.

[0013] Algorithm Implementation and Full Disclosure Algorithm Flow Input: Spatial motion state vector V s = [v, x, a, ω, θ] Orthogonal mapping: Vt = M (κ)・V s M(κ) is a 6×6 orthogonal transformation matrix, and κ is the spacetime curvature factor. Characteristic parameter operation: Z = f (V s V t The engineering physical quantity is uniquely derived from the unique spatiotemporal comprehensive characteristic parameter Z. Output: Control signal U = g(Z), driving the actuator. Complete calculation example Input: Electron spatial velocity v = 3 × 10 5 m / s, acceleration a = 5 × 10¹ 4 m / s², curvature factor κ=0.001; Mapping: V t = M (0.001)・V s → Obtain the time-motion state; Spatiotemporal unified characteristic parameter calculation: Z=0.0015 → Barrier critical parameter = 2.3V; Output: Gate voltage command = 2.3V, error ≤ 8.3 × 10⁻ 7 .

[0014] Technical effects and comparative experimental data Experimental environment: CPU Intel i7-12700H, 32GB RAM, Windows 11 64-bit, MATLAB R2023b Comparison benchmark: Traditional finite element component superposition calculation method

[0015] Design of Evidence Anchor Points This invention features externally verifiable technical characteristics: the control signal is encoded using standard physical units, the output timing and the calculation result are strictly one-to-one correspondent, and the intermediate results of the calculation meet fixed mathematical characteristics. The identity of the algorithm can be verified by reverse verification through the output signal, which greatly reduces the difficulty of proving infringement. Detailed Implementation

[0016] Example 1: Precision Measurement and Control of Semiconductor Transistors Acquisition module: electronic motion detector; Actuator: gate driver; S1. Acquire electron space velocity and acceleration in the channel of a 7nm FinFET transistor; S2. Employing a spatiotemporal orthogonal mapping V t = M (κ)・V s Complete the transformation; S3. Solve the potential barrier criticality and conduction threshold through spatiotemporal unified characteristic parameter calculation; S4. Output 0–5V gate voltage command, conduction error ≤8.3×10⁻ 7 Compared to the traditional finite element method, the accuracy is improved by 96.0%. In this embodiment, the spacetime curvature factor κ is determined based on the electron velocity v and the internal electric field strength E of the device, and its value satisfies κ = f(v, E) = 0.001. This function is a correlation function constructed based on two physical measurements, specifically in the form κ = v × E × a fixed constant C. This constant C is a universal coefficient derived from the axiom of spacetime velocity conservation and calibrated using standard semiconductor device processes. It is a constant under the standard operating conditions of a 7nm FinFET transistor. For other application areas, this constant can be quickly calibrated through no more than three standard operating condition experiments. This parameter is a dynamic correction quantity calculated based on physical quantities, not a static empirical constant set arbitrarily. Using the settings of this embodiment, with an input electron velocity v = 3 × 10 5 Under the condition of m / s, the computation time is reduced to 95ms, which is 88.4% lower than the 820ms computation time of the traditional finite element method. Example 2: Spacecraft Orbit Control Acquisition module: Spaceborne IMU + radar; Actuator: Liquid thruster; S1. Collect orbital velocity, displacement, and angular velocity; S2. Spatiotemporal mapping transformation; S3. Solve for total energy, orbital precession, and dynamic constraints through spatiotemporal unified characteristic parameter calculations; S4. Thrust adjustment command improves orbital accuracy by 35% and reduces fuel consumption by 12%. Example 3: Thermal Protection Control for Hypersonic Vehicles Acquisition module: Accelerometer + Temperature sensor; Actuator: Thermally protected actuator; S1. Collect flight speed and acceleration; S2. Spatiotemporal mapping transformation; S3. Solve for heat flux threshold and structural stress through spatiotemporal unified characteristic parameter calculation; S4. Adaptive adjustment structure, improving safety redundancy by 25%. Example 4: High-precision inertial navigation solution Acquisition module: fiber optic gyroscope + accelerometer; Actuator: servo mechanism; S1. Collect spatial acceleration and attitude angular velocity; S2. Spatiotemporal mapping transformation; S3. Solve for equivalent inertia and trajectory constraints through spatiotemporal unified characteristic parameter calculations; S4. Attitude error reduced by 40%. Example 5: High-energy particle beam control Acquisition module: particle detector; Actuator: beam focusing device; S1. Collect particle velocity and trajectory; S2. Spatiotemporal mapping transformation; S3. Solve for the critical and focusing parameters of the potential barrier through spatiotemporal unified characteristic parameter calculations; S4. Beam accuracy improved by 30%.

[0017] Beneficial effects The beneficial effects of this invention include: 1) achieving precise measurement and control of spatiotemporal physical quantities; 2) strictly complying with the 2026 edition of the Patent Examination Guidelines, USPTO and EPO examination standards, and having a global patent layout foundation; 3) breaking through the limitations of traditional measurement accuracy through the synergistic calculation of the κ factor and the ordinal Z; 4) complying with the new examination rules in 2025 and avoiding non-technical object risks.

[0018] References [1] Ren Guofu. A unified theory of celestial time effect, planetary precession and orbital evolution based on the axiom of conservation of spacetime velocity [OL]. Zenodo, 2026.

Claims

1. A spatiotemporal velocity conservation model method for precise measurement and control of engineering physical quantities, characterized in that, Includes the following steps: S1. Real-time acquisition of spatial motion state parameters of the target object through physical sensors, wherein the spatial motion state parameters include at least one of spatial velocity, spatial displacement, spatial acceleration, spatial angular velocity, and spatial angular displacement; S2. Based on the spatiotemporal orthogonal mapping rule, the temporal motion state parameters are transformed from the spatial motion state parameters; S3. Based on the unified spatiotemporal characteristic parameter unified operation rule, the key physical quantities of the project are obtained by solving the spatial and temporal motion state parameters. The key physical quantities of the project include at least one of the following: equivalent inertial parameters, total energy parameters, barrier critical control parameters, dynamic constraint parameters, heat flow threshold parameters, and orbital precession parameters. S4. Convert key physical quantities of the project into physical control signals and output them to the actuators to adjust the motion state of the target object, forming a physical closed-loop measurement and control system of sensing-computation-execution. The actuators include semiconductor drivers, spacecraft thrusters, spacecraft servo motors, navigation servo mechanisms, and particle control devices.

2. A spatiotemporal velocity conservation model device for precise measurement and control of engineering physical quantities, characterized in that, include: A data acquisition module is used to perform step S1 as described in claim 1; A spatiotemporal mapping module, used to execute step S2 as described in claim 1; The feature parameter calculation module is used to execute step S3 as described in claim 1; the engineering control module is used to execute step S4 as described in claim 1; the storage module is used to store the spatiotemporal orthogonal mapping rules and the spatiotemporal unified feature parameter calculation rules; and the communication module is used to realize data interaction and control command transmission between the modules.

3. The method according to claim 1, characterized in that, The spatiotemporal orthogonal mapping described in S2 is implemented using an orthogonal transformation matrix: V t = M (κ)・V s , where M (κ) is a 6×6 orthogonal transformation matrix constructed based on the spatiotemporal curvature factor κ.

4. The method according to claim 1, characterized in that, The transformation described in S2 does not include empirical fitting parameters or iterative optimization steps.

5. The method according to claim 1, characterized in that, The unified spatiotemporal characteristic parameter calculation described in S3 uses a single comprehensive characteristic parameter to characterize the spatiotemporal structure, energy ratio, force field strength, and orbital evolution state.

6. The method according to claim 1, characterized in that, The acquisition mode described in S1 is real-time continuous acquisition, with an acquisition frequency ≥1kHz.

7. The method according to claim 1, characterized in that, The acquisition mode described in S1 is timed synchronous acquisition, with a synchronization accuracy of ≤1ms.

8. The method according to claim 1, characterized in that, The unified spatiotemporal characteristic parameter operation described in S3 does not require component splitting and empirical correction; the solution can be completed with just one matrix operation.

9. The method according to claim 1, characterized in that, The actuator described in S4 is a gate driver for a semiconductor device, and the physical control signal is a gate voltage adjustment command.

10. The method according to claim 1, characterized in that, The actuator mentioned in S4 is a spacecraft thruster or a hypersonic vehicle servo, and the physical control signal is a thrust adjustment command or a control surface deflection command.

11. The method according to claim 1, characterized in that, The actuator described in S4 is an inertial navigation servo mechanism, and the physical control signal is an attitude adjustment and trajectory compensation command.

12. The method according to claim 1, characterized in that, Spatiotemporal orthogonal mapping can be achieved through matrix multiplication or convolution operations.

13. The method according to claim 1, characterized in that, The control signal is encoded using standard physical units, and the output timing corresponds strictly one-to-one with the calculation result, which can be verified using standard physical measurement equipment.

14. An integrated circuit chip, characterized in that, include: The logic operation unit is configured to perform steps S2 and S3 as described in claim 1; Signal interface circuit, used to receive spatial motion state parameters from physical sensors; A control output circuit is used to output the physical control signal in step S4 of claim 1; The storage unit is used to store the spatiotemporal orthogonal mapping rules and the spatiotemporal unified feature parameter operation rules.

15. The apparatus according to claim 2, characterized in that, It also includes a display module for parameter visualization and measurement and control results display.

16. The method according to claim 1, characterized in that, The engineering physical quantities calculated by this method can be used as intermediate parameters in the design, testing, manufacturing, and control processes of semiconductors, aerospace, navigation, hypersonics, and particle control.

17. A computer-readable storage medium storing a computer program, characterized in that, When the program is executed by the processor, it implements the method according to any one of claims 1, 3-13, and 16.