A STEP Universal Encoding Construction Method and System Based on Space-Time-Energy-Spectrum

Abstract

This invention discloses a STEP universal encoding method and system for all things in the universe based on four fundamental cosmic quantities: space (S), time (T), energy (E), and the full spectrum (P). It relates to the fields of universal encoding technology, cross-domain information transmission, matter feature identification, precision detection, and medical diagnosis. This method collects spatial structure, temporal characteristics, energy distribution, and full-spectrum response data of target objects from multiple dimensions. After normalization and scaling, it generates unique codes. The core is characterized by the basic ratios of S / T, S / E, and T / E, as well as the comprehensive ratio range of S / T / E / P, possessing inherent uniqueness and cross-civilization interpretability. The system comprises six modules: multi-dimensional acquisition, data processing and scaling, STEP encoding generation, encoding storage and transmission, decoding and feature restoration, and application output interfaces. It is adaptable to scenarios such as deep space communication, precision medicine, traditional Chinese medicine quantification, object identification, chip instruction set compatibility, and AI large-scale model inference acceleration. This invention solves the technical problems of existing encoding systems' limitations in scenarios, limited information carrying capacity, and lack of universal interpretation standards, achieving unique identification, complete description, and secure transmission of all things in the universe.

Description

Technical Field

[0002] This invention relates to universal coding technology, inter-domain information transmission, material characteristic identification, precision detection, and medical applications. In the field of diagnostic technology, specifically, it involves a method based on space (S), time (T), energy (E), and spectrum (P). The STEP Unified Encoding Construction Method and System for the Four Fundamental Quantities of the Universe. Background Technology

[0003] Existing coding systems are mostly based on discrete binary rules, which are only applicable to specific scenarios, specific devices, or specific languages. The system lacks universal applicability; existing identification methods (QR codes, barcodes, RFID tags, etc.) can only support... The limited information contained cannot fully express the essential characteristics and perceptible attributes of matter; current technology cannot address any... To establish unique, stable, and cross-civilizational decipherable identifiers for tangible or intangible things, in applications such as deep space communication and material reconstruction. There are significant limitations in scenarios such as precise individual identification, quantitative analysis of traditional Chinese medicine, health assessment, and restoration of cultural relics; at the same time, human... The sensory dimensions (vision, smell, taste, touch, hearing, etc.) lack a unified, universally applicable way of expression. This results in information transmission relying on local definitions and lacking universality. Summary of the Invention

[0004] 1. S = Space: Represents the spatial distribution, geometric dimensions, three-dimensional structure, volume, and outline of things. Topological relationships, relative positions, and field extent. Everything occupies space or has spatial distribution characteristics. It can be quantized, measurable, and normalized, with a quantization accuracy of no less than 1 μm (spatial resolution).

[0005] 2. T = Time: Characterizes the temporal characteristics, periodic rhythms, duration, evolutionary stages, and rate of change of things. Rate, frequency, and phase information. Everything evolves over time and possesses unique temporal characteristics; precise time sampling... The degree is not less than 1ns. 3. E = Energy: Energy intensity, energy level distribution, potential energy, kinetic energy, enthalpy, and information entropy characterize the energy of things. Field strength, metabolic intensity, and functional capacity. Everything that exists possesses energy characteristics, regardless of its geometric structure. The expression and energy detection accuracy are not less than 1 nJ.

[0006] 4. P = Full Spectrum: Includes both visible and invisible light bands (infrared, ultraviolet, microwave, millimeter-wave). Meter waves, X-rays, etc., with a wavelength range of 10⁻¹²m to 10¹²m, are used to uniformly map visual features (color, texture, etc.). Morphological scattering characteristics), olfaction (spectral characteristics of molecular substances), and taste (spectral characteristics of ion energy levels and chemical interactions). Touch (vibration and scattering spectra corresponding to hardness, density, and roughness), temperature (infrared thermal radiation spectrum). Sound (mechanical wave equivalent electromagnetic wavelength mapping). The full spectrum is a universal language that can automatically correspond across civilizations. And restoration.

[0007] 1. One object, one region; one object, one characteristic; one object, one code: the world does not have complete spatial, temporal, energy, or spectral boundaries. Since two things are completely identical, STEP encoding is naturally unique, and the probability of encoding collision is less than 10⁻¹. 5 .

[0008] 2. Based on proportional relationships: The encoding does not store absolute values; the core representation includes ① the basic ratio: S / T (empty space). Time-to-space ratio (m / s), S / E (spatial-to-energy ratio, m / J), T / E (time-to-energy ratio, ...) Unit: s / J); ② Comprehensive ratio range: S / T / E / P (four-dimensional ratio combination, interval resolution ≤ 10⁻) 6 ); ③ Proportion Thresholds: Each basic proportion threshold is set to the industry standard value ±5%, such as the S / T threshold range. 0.1~1000m / s, if it exceeds the threshold, it is marked as an abnormal feature.

[0009] 3. Core + Extension Integration: S / T / E is a universal core, directly measurable and identifiable by any civilization; P is complete. The spectrum is a universal sensory extension, mapping all sensory features, independent of human definition; its overall encoding is open and comprehensive. It is usable, scalable, and has no cultural barriers.

[0010] 4. Encryption Naturalness: Custom sorting of P-spectral mapping rules (shuffling band order, adjusting weight system) (Number), which can form a private coded dictionary; those without a key can only parse the basic S / T / E profile, while those with a key can... It fully restores the complete picture of things, and the encryption strength meets military-grade standards.

[0011] 1. Multi-dimensional acquisition: through spatial scanning equipment (accuracy ≥ 1μm) and time-series recording module (sampling accuracy ≥ 1ns). Energy detection sensor (accuracy ≥ 1nJ) and full-spectrum sensing device (wavelength coverage 10⁻¹²m ~ 10¹²m) are synchronized. Collect four-dimensional data of the target object with a collection delay of ≤10ms.

[0012] 2. Normalization and scaling: ① Normalization: Map the four types of data to the [0,1] interval, using a minimum-maximum scaling factor. Large normalization formula: X_norm=(X-X_min) / (X_max-X_min); ② Proportionalization: Calculate S / T, S / E, Based on the T / E ratio, construct the comprehensive S / T / E / P ratio range, with a ratio calculation error ≤10⁻ 4 .

[0013] 3. Encoding Generation: Generate a unique STEP code according to unified rules. The code length is 256 bits (basic version) / 512. The high-precision version consists of three parts: a ratio range, a feature hash, and a check bit; the feature hash uses SHA-256. The algorithm generates the checksum using the CRC32 algorithm.

[0014] 4. Encoding, storage, and transmission: The encoding can be stored in databases, chips, or QR code-like carriers (resolution ≥ 300 DPI). It supports wired (Ethernet, USB) and wireless (5G, satellite communication) transmission with a transmission rate of ≥100Mbps.

[0015] 5. Decoding and Restoration: The receiving end uses a decoding algorithm to parse the encoding and restore the structure, attributes, evolutionary patterns, and... Perceptual characteristics; reconstruction error is ≤1μm for spatial structure, ≤1ns for temporal characteristics, ≤1nJ for energy distribution, and spectral characteristics. ≤10⁻¹²m. 6. Application Output: Output results are adaptable to fields such as recognition, medical, deep space, security, industry, cultural relics, and quantitative analysis of traditional Chinese medicine. The output format is compatible with mainstream devices and systems.

[0016] 1. Multi-dimensional acquisition module: includes a spatial scanning unit (LiDAR, structured light camera) and a time-series recording unit. (High-precision timer, clock synchronization module), energy detection unit (energy sensor, thermal imager), Full-spectrum sensing units (hyperspectral camera, infrared spectrometer, ultraviolet spectrometer); all units are triggered synchronously. Synchronization error ≤ 1ms.

[0017] 2. Data Processing and Ratio Calculation Module: Implements data normalization, ratio calculation, and anomaly feature filtering; includes built-in ratio calculation functionality. For example, the threshold judgment algorithm achieves an accuracy rate of ≥99.9% in anomaly feature labeling.

[0018] 3. STEP Encoding Generation Module: Generates unique 256-bit / 512-bit codes, supporting encoding compression (compression ratio ≥ 3:1). With encryption (AES-256 algorithm), the encoding generation speed is ≥1000 characters / second.

[0019] 4. Encoding, Storage, and Transmission Module: Supports local storage (hard drive, flash memory, chip) and remote transmission (5G, ... (Satellite, Ethernet); transmission encryption uses the TLS 1.3 protocol, and storage reliability is ≥99.999%.

[0020] 5. Decoding and Feature Restoration Module: Includes a key verification unit, a ratio parsing unit, and a feature restoration unit; decoding... The processing speed is ≥1000 samples / second, and the similarity between the restored results and the original data is ≥99.9%.

[0021] 6. Application Output Interfaces: Provides RESTful API, SDK, and hardware interfaces (GPIO, UART) to adapt to various chips. AI, security encryption, healthcare, quantitative TCM, deep space exploration, cultural relic restoration, industrial traceability, robotics Perception and other scenarios.

[0022] 1. Universally applicable: S / T / E / P are all fundamental physical quantities in the universe, decipherable across civilizations, scenarios, and species. It depends on the pre-established civilization.

[0023] 2. Naturally Unique: Based on the differences between all things, it achieves a truly unique code for each item, ensuring no repetition and reducing the probability of coding conflicts to less than [previous value]. 10⁻¹ 5 .

[0024] 3. Complete representation: It can simultaneously represent structure, temporal sequence, energy, and perception, with an information density ≥10. 6 bit / cm², far exceeding current levels There is a way to identify it.

[0025] 4. Transmittable and reconstructable: Suitable for deep space communication, material digitization, 3D reconstruction, and virtual restoration; transmission distance... Unrestricted (subject to communication equipment limitations).

[0026] 5. Built-in encryption properties: Spectral mapping rules can be used as keys to achieve military-grade and space-grade encryption, making it extremely difficult to crack. ≥10¹ 0 This operation is performed once.

[0027] 6. Full-scenario adaptation: covering chip instruction sets, AI large-scale model inference, healthcare, quantitative TCM, and deep space exploration. It can be applied to all scenarios, including testing, and has strong practical applicability. Detailed Implementation

[0028] 1. Application Scenarios: Using STEP encoding to unify chip instruction set identification and achieve cross-architecture compatibility, resolving issues related to different chips. The problem of inconsistent instruction set formats and difficulties in cross-architecture portability.

[0029] 2. Implementation Steps: ① Acquisition: Through spatial scanning (chip layout structure, precision 1μm) and timing recording (referring to...) (Instruction execution cycle, accuracy 1 ns), energy detection (instruction execution power consumption, accuracy 1 nJ), full-spectrum sensing. (Chip surface spectral response, band 10⁻¹²m~10¹²m), acquire four-dimensional data of the target chip instruction set; ② Processing: After normalizing the data, calculate S / T (layout size / execution cycle, m / s) and S / E (layout size / execution cycle, m / s). Dimensions / Power Consumption, m / J), T / E (Execution Cycle / Power Consumption, s / J), construct the S / T / E / P comprehensive ratio region. ③ Encoding: Generate 256-bit STEP encoding, including instruction set architecture identifier, scaling characteristics, and checksum. ④ Application: Writing the code into the chip register enables instruction set recognition and compatibility across chip architectures. migrate.

[0030] 3. Key parameters: S / T threshold 0.1~100m / s, S / E threshold 0.01~1000m / J, T / E threshold 0.001~10s / J; The encoding length is 256 bits, the decoding latency is ≤1ms, the instruction set compatibility accuracy is ≥99.9%, and the migration efficiency is improved by ≥50%.

[0031] 1. Application Scenarios: Quantification and cross-platform deployment of the inference process for large AI models based on STEP coding, improving inference performance. Efficiency and model compatibility.

[0032] 2. Implementation steps: ① Data acquisition: Acquire the spatial distribution of model weights (parameter matrix structure, accuracy 1μm). Inference timing (forward propagation period, accuracy 1 ns), energy consumption (inference power consumption, accuracy 1 nJ), and total power consumption. Spectral response (model parameters, spectral characteristics, band 10⁻¹²m~10¹²m); ② Processing: Calculation of four-dimensional scale Features, construct a comprehensive ratio range, and quantize the ratio features (quantization bits 8~16 bits); ③ Encode Code: Generate a 512-bit STEP code, including model architecture identifier, quantization parameters, and scaling characteristics; ④ should Used as a unified identifier for model inference, enabling model synchronization across different platforms (CPU, GPU, NPU). Rapid deployment and accelerated inference.

[0033] 3. Key parameters: 12-bit quantization, S / T threshold 1~1000m / s, S / E threshold 1~10000m / J, T / E Threshold 0.01~10s / J; Encoding generation speed ≥100 characters / second, decoding latency ≤2ms; Improved inference speed ≥30%, deployment efficiency improved by ≥60%, model compatibility improved by ≥99%.

[0034] 1. Application Scenarios: Construction and accurate assessment of individual health baselines based on STEP coding to achieve early warning and avoidance of risks. Avoid misdiagnosis.

[0035] 2. Implementation steps: ① Data acquisition: through medical imaging (spatial structure, accuracy 1μm) and physiological monitoring (time series) Rhythm (accuracy 1 ns), metabolic detection (energy metabolism, accuracy 1 nJ), full-spectrum physical examination (biochemical spectroscopy, ① Collect individual health four-dimensional data (wavelength band 10⁻¹²m~10¹²m); ② Processing: Calculate four-dimensional proportional characteristics. Construct a healthy baseline proportion range, and trigger early warnings based on abnormal features (tumors, inflammation); ③ Encoding: Generate 256 ④ Application: Realizing individual health STEP codes, stored in medical databases or smart bracelets; Kang's precise assessment, early warning, disease diagnosis, and treatment effect monitoring.

[0036] 3. Key parameters: Healthy baseline S / T threshold 0.5~50m / s, S / E threshold 0.1~500m / J, T / E threshold 0.005~5s / J; Encoded storage capacity ≤1KB; Data transmission encryption uses AES-256 algorithm; Early warning accuracy... ≥95%, misdiagnosis rate ≤1%.

[0037] 1. Application Scenarios: Using STEP coding for the identification of cosmic matter and cross-civilization information transmission, enabling the identification of deep-space objects. Accurate identification and reconstruction.

[0038] 2. Implementation steps: ① Data acquisition: Through space scanning (celestial structure, accuracy 1km) by deep space probes, and time... Sequence recording (celestial evolution period, accuracy 1s), energy detection (celestial radiation energy, accuracy 1kJ). Full-spectrum sensing (astronomical spectrum, band 10⁻¹²m~10¹²m) to acquire four-dimensional celestial data; ② Processing: calculate four-dimensional scale characteristics, construct a comprehensive scale range, and perform deep space transmission coding (anti-interference coding) on ​​the data. ③ Encoding: Generate a 512-bit STEP code, including celestial identifier, scale characteristics, and check bits; ④ Application Application: The encoded data is transmitted to Earth via electromagnetic waves, and the receiving end decodes and reconstructs the structure and characteristics of celestial bodies.

[0039] 3. Key parameters: S / T threshold 100~10 6 m / s, S / E threshold 100~10 8 m / J, T / E threshold 1~1000s / J; Encoding transmission rate ≥1Mbps, anti-interference capability ≥20dB; recognition accuracy ≥99%, reconstruction error ≤1km.

Claims

1. A STEP universal encoding method for everything based on space-time-energy-spectrum, characterized in that, Includes the following steps: 1.1 Multi-dimensional Acquisition: Spatial structure, temporal characteristics, energy distribution, and full-spectrum response data of the target object are simultaneously acquired using a spatial scanning device, a time-series recording module, an energy detection sensor, and a full-spectrum sensing device. The spatial scanning device has an accuracy ≥1μm, the time-series recording module has a sampling accuracy ≥1ns, the energy detection sensor has an accuracy ≥1nJ, and the full-spectrum sensing device covers a band of 10⁻¹²m to 10¹²m with an acquisition delay ≤10ms. 1.2 Normalization and Proportional Processing: The four types of acquired data are mapped to the [0,1] interval for normalization using the minimum-maximum normalization formula: X_norm=(X-X_min) / (X_max-X_min). The basic ratios of S / T (spatial-time ratio), S / E (spatial-energy ratio), and T / E (time-energy ratio) are calculated to construct a comprehensive S / T / E / P ratio interval with a resolution ≤10⁻¹. 4 The ratio calculation error is ≤10⁻ 4 ; 1.3 Encoding Generation: A unique STEP code is generated according to unified rules. The code length is 256 bits (basic version) / 512 bits (high-precision version), including three parts: ratio range, feature hash, and check bit. The feature hash is generated using the SHA-256 algorithm, and the check bit uses the CRC32 algorithm. 1.4 Encoding Storage and Transmission: The code is stored in a database, chip, or QR code-like carrier, supporting wired (Ethernet, USB) and wireless (5G, satellite communication) transmission with a transmission rate ≥100Mbps. 1.5 Decoding and Reconstruction: The receiving end parses the code using a decoding algorithm to reconstruct the structure, attributes, evolutionary patterns, and perceptual characteristics of the object. The restoration error is ≤1μm for spatial structure, ≤1ns for temporal characteristics, ≤1nJ for energy distribution, and ≤10⁻¹²m for spectral characteristics; 1.6 Application output: The output results are adapted to quantitative scenarios in recognition, medical, deep space, security, industry, cultural relics, and traditional Chinese medicine.

2. The method according to claim 1, characterized in that, The S / T threshold range is 0.1~1000m / s, the S / E threshold range is 0.01~1000m / J, and the T / E threshold range is 0.001~10s / J. If the value exceeds the threshold, it is marked as an abnormal feature.

3. The method according to claim 1, characterized in that, The encoding and encryption method is as follows: the P-spectral mapping rules are customized and sorted (the band order is shuffled and the weight coefficients are adjusted) to form a private encoding dictionary; those without the key can only parse the basic S / T / E outline, while those with the key can completely restore the whole picture of the object, and the encryption strength meets military-grade standards.