Universal communication measurement variable conversion and transmission system for beidou positioning architecture

CN122513474APending Publication Date: 2026-08-04HUNAN AUDE INFORMATION TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUNAN AUDE INFORMATION TECH
Filing Date
2026-07-06
Publication Date
2026-08-04

AI Technical Summary

Technical Problem

[0002]当前在各类分布式监测场景中,测量系统通过远方终端采集电压、电流等高频电参量以及变压器温度、环境湿度等辅助环境变量,并利用北斗短报文窄带通信链路将测量数据传输至远程调度中心,作为测量装置的共性特征,当前行业通常采用固定帧格式协议,实现测量数据在物理链路中的有序封装,但在面对非专用于特定变量的通用监测场景时,固定封装方式难以兼容异构物理量的动态特征,导致传输转换装置对于不同物理属性变量的兼容性较差

Benefits of technology

1、在通用型通信测量变量转换中,通过特征提取单元提取各测量变量的有效位变化区间,并利用映射转换单元生成的位宽掩码对原始位流执行重组,使系统能够根据测量变量的瞬时波动情况动态调节传输载荷的分配,这种基于信息熵的自适应转换机制,剔除了原始位流中的无效冗余位,将传统协议中固定的硬封装方式转化为弹性的位流映射方式,解决在极窄带宽链路上承载高频异构测量数据的物理矛盾,提升监测终端在受限通信资源下的信息吞吐效率。

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Abstract

This invention relates to the field of general measurement and data conversion technology, and discloses a general communication measurement variable conversion and transmission system for the BeiDou positioning architecture. The system includes a variable pool unit that acquires heterogeneous characteristic variables from distributed energy exchange nodes and converts them into a standard bitstream container; a sensitivity mask generation unit that generates a bit-width mask based on physical offsets; a mapping conversion unit that reassembles the payload into an elastic bitstream; a load saturation monitoring unit that senses the bitstream fill rate in real time and generates a negative feedback offset command to modulate the quantization bit width; and a mapping conversion unit that responds to the command by performing low-weight truncation on non-core spatiotemporal parameters, while maintaining core spatiotemporal synchronization parameters in an untruncation state. This invention utilizes the yield logic of load saturation feedback to ensure the temporal continuity of the monitoring sequence under extreme conditions, resolving the conflict between quantization accuracy and physical bandwidth on narrowband links.
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Description

Technical Field

[0001] This invention relates to the field of general measurement and data conversion technology, specifically to a general communication measurement variable conversion and transmission system oriented towards the BeiDou positioning architecture. Background Technology

[0002] Currently, in various distributed monitoring scenarios, measurement systems collect high-frequency electrical parameters such as voltage and current, as well as auxiliary environmental variables such as transformer temperature and ambient humidity, through remote terminals. The measurement data is then transmitted to a remote dispatch center using the BeiDou short message narrowband communication link. As a common feature of measurement devices, the industry typically uses a fixed frame format protocol to achieve orderly encapsulation of measurement data in the physical link. However, when facing general monitoring scenarios that are not specifically designed for certain variables, the fixed encapsulation method is difficult to be compatible with the dynamic characteristics of heterogeneous physical quantities, resulting in poor compatibility of the transmission conversion device with different physical attribute variables.

[0003] When the operating conditions of the measured object undergo transient changes, the effective bit length and dynamic range of the measured variables exhibit non-stationary fluctuations. Existing fixed bit width allocation mechanisms typically introduce channel congestion and packet loss risks when dealing with such variable fluctuations. Existing solutions suffer from a fundamental constraint between ensuring high-resolution measurement and maintaining low link occupancy. For measurement devices not specifically designed for a particular physical quantity, the physical accuracy requirement of a single variable is limited by a preset fixed mask length, thus compromising the integrity of the measurement stream. This limitation prevents traditional conversion devices from being flexibly configured according to the instantaneous accuracy requirements of the measured variable, restricting their versatility as transmission conversion devices not specifically designed for a particular variable. Conventional data compression strategies typically introduce computational delays, affecting the real-time performance of distribution network protection actions. Furthermore, asynchronous sampling characteristics driven by different hardware clocks generate logical offsets during the data reassembly stage. Besides the hard constraints at the physical link and protocol encapsulation levels, existing technologies also face limitations in underlying data... The encoding and mapping mechanism struggles to balance transmission efficiency with dynamic data weighting. For instance, Chinese invention patent CN103279462B discloses a data encoding and decoding method applicable to the BeiDou short message civilian protocol. This method maps binary data to standard Chinese characters by establishing a static encoding lookup table to address the limitations of the civilian protocol on non-text data transmission. However, the mapping mechanism remains within the scope of fixed bit width allocation logic, resulting in an increase in the bitstream volume after encoding. Due to the static nature of the mapping rules, the system cannot perceive the instantaneous surge in the information density of measurement variables. When the narrowband channel bandwidth approaches its limit, it cannot perform differentiated quantization yielding based on the physical meaning of the variables. This causes high-precision positioning synchronization parameters and low-weight environmental monitoring parameters to face the same congestion risk during transmission. In the event of channel overflow or bit flip, the temporal continuity of core parameters is easily damaged, inducing a global logical phase shift, making it difficult to meet the real-time and quantization accuracy requirements of high-precision positioning scenarios.

[0004] Therefore, the technical problem to be solved by this invention is how to construct a general-purpose communication measurement variable conversion and transmission system for the BeiDou positioning architecture, so that it can be used as a transmission or conversion device that is not dedicated to specific variables, in order to solve the problem of dynamic imbalance between bandwidth occupancy and measurement resolution of heterogeneous measurement variables of non-specific types in narrowband transmission environment, as well as the problem of logical offset caused by asynchronous sampling phase. Summary of the Invention

[0005] This invention proposes a general-purpose communication measurement variable conversion and transmission system for the BeiDou positioning architecture: A general-purpose communication measurement variable conversion and transmission system for the BeiDou positioning architecture, the system is applied to an energy distribution physical topology with multi-node interaction attributes, and the system includes: The variable pool unit is used to obtain heterogeneous feature variables that characterize the physical state of distributed energy exchange nodes and convert the heterogeneous feature variables into standard bit stream containers. The sensitivity mask generation unit is used to generate a bit-width mask based on the physical offset of the heterogeneous feature variable relative to a preset sensitivity threshold. The preset sensitivity threshold is a bit jump threshold that characterizes the abrupt change characteristics of the variable. The mapping and transformation unit, connected to the variable pool unit, is used to reassemble the high-weight payload in the standard bitstream container into an elastic bitstream based on the bit-width mask. The load saturation monitoring unit is used to sense the fill rate of the standard bitstream container in real time and generate a negative feedback offset command based on the fill rate to modulate the quantization bit width in the mapping conversion unit in real time. When the fill rate reaches the preset physical bandwidth upper limit threshold, the mapping conversion unit responds to the negative feedback offset command and performs low-weight truncation on the non-core spatiotemporal parameters in the heterogeneous feature variables, maintaining the bit weight of the core spatiotemporal synchronization parameters in the elastic bitstream in an untruncation state.

[0006] Preferably, the variable pool unit is equipped with a residual predictor; the residual predictor is used to calculate the residual bit vector between the original bit stream and the predicted bit stream of the heterogeneous feature variables; when the length of the residual bit vector is lower than the preset resolution threshold, the sensitivity mask generation unit sets the bit width mask to a single-bit resting identifier; when the resting identifier is detected, the mapping conversion unit performs transmission suppression until the physical offset exceeds the preset sensitivity threshold and then restarts the reassembly operation of the elastic bit stream.

[0007] Preferably, the mapping conversion unit is used to generate a length verification parameter and logically couple the length verification parameter with the synchronization placeholder at the end of the elastic bit stream to construct a self-verification sequence of the bit stream topology; the system also includes a receiver decapsulation module, which is used to: identify bit flipping errors of the bit width mask in the transmission environment by comparing the consistency between the physical cutting boundary and the logical anchor point, and perform in-situ correction according to the synchronization placeholder.

[0008] Preferably, the mapping and transformation unit follows a weight allocation rule when performing low-weight truncation, and the weight allocation rule is expressed by the following formula: ,in, Let n be the total length of the elastic potential flow, and n be the number of heterogeneous characteristic variables. Let be the initial bit width of the i-th feature variable. This is the cutoff bit width of the i-th feature variable determined based on the fill rate.

[0009] Preferably, the heterogeneous feature variables include: high-frequency spatiotemporal synchronization parameters with a preset first weight level and environmental attribute variables with a preset second weight level; when the fill rate reaches the preset physical bandwidth upper limit threshold, the mapping and transformation unit preferentially performs low-weight truncation of the environmental attribute variables until the fill rate drops to the preset safe range.

[0010] Preferably, the sensitivity mask generation unit is also used to: dynamically adjust the weight assignment of the core spatiotemporal synchronization parameters according to the synchronization level instruction of the energy allocation physical topology, so as to change the truncation priority order of the mapping conversion unit under different scheduling cycles.

[0011] Preferably, the residual predictor integrates an adaptive learning operator, which is used to modify the generation logic of the predicted bit stream based on the historical temporal distribution characteristics of the heterogeneous feature variables, so as to reduce the proportion of non-zero bits in the residual bit vector.

[0012] Preferably, the elastic bit stream is transmitted through a short message channel based on satellite synchronization signals, and the mapping and conversion unit performs frame packing on the reassembled elastic bit stream according to the maximum payload length of a single message in the short message channel.

[0013] Preferably, the load saturation monitoring unit is also connected to a congestion prediction unit, which is used to: calculate a congestion trend value based on the rate of change of the fill rate, and send an early warning signal to the mapping conversion unit when the congestion trend value reaches a preset trend threshold; after receiving the early warning signal, the mapping conversion unit adjusts the step size of the low-weight truncation to a preset excitation threshold.

[0014] Preferably, the system further includes a storage unit, which is used to provide the physical parameter boundaries of the preset sensitivity threshold, the physical bandwidth upper limit threshold of the load saturation monitoring unit, and the initial values ​​of the weight allocation rules.

[0015] The beneficial effects of this invention are: 1. In the general communication measurement variable conversion, the effective bit change range of each measurement variable is extracted by the feature extraction unit, and the original bit stream is reconstructed by the bit width mask generated by the mapping conversion unit. This enables the system to dynamically adjust the distribution of transmission load according to the instantaneous fluctuation of the measurement variables. This adaptive conversion mechanism based on information entropy eliminates invalid redundant bits in the original bit stream, transforms the fixed hard encapsulation method in the traditional protocol into a flexible bit stream mapping method, solves the physical contradiction of carrying high-frequency heterogeneous measurement data on extremely narrow bandwidth links, and improves the information throughput efficiency of the monitoring terminal under limited communication resources.

[0016] 2. The residual predictor is used to calculate the residual bit vector between the original bit stream and the predicted bit stream. When the length of the residual bit vector is lower than the threshold, the bit width mask is configured as a resting identifier to suppress the transmission of variables in a stable state. The system only performs full mapping when the variable undergoes a physical change that exceeds the cognitive dead zone. In the resting state, only a single bit of data is retained as a placeholder. This significantly reduces the invalid occupation of the main link by auxiliary monitoring variables without losing measurement accuracy and eliminates communication logic congestion when large-scale distributed nodes access concurrently.

[0017] 3. The system uses a water level monitoring module to sense the fill rate of the standard bit flow container in real time and forms a closed-loop control with the bit width yielding operator in the mapping and conversion unit. When multiple high-frequency variables simultaneously enter a period of rapid change, causing the fill rate to approach the physical bandwidth limit, the system actively truncates the lowest weight of non-core variables. This sacrifices controllable resolution to maintain the real-time performance of core positioning variables. This logical yielding mechanism based on load saturation feedback ensures the temporal continuity of the monitoring sequence under extreme and sudden operating conditions, avoiding system paralysis or forced data packet discarding due to bandwidth overflow. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart of the adaptive conversion and flexible transfer of heterogeneous measurement variables in this invention; Figure 2 This is a block diagram showing the topological architecture and internal logic composition of the system functional units of the present invention. Detailed Implementation

[0020] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0021] A general-purpose communication measurement variable conversion and transmission system for the BeiDou positioning architecture, the system comprising: The variable pool unit is used to obtain heterogeneous feature variables that characterize the physical state of distributed energy exchange nodes and convert the heterogeneous feature variables into standard bit stream containers. The sensitivity mask generation unit is used to generate a bit-width mask based on the physical offset of the heterogeneous feature variable relative to a preset sensitivity threshold. The preset sensitivity threshold is a bit jump threshold that characterizes the abrupt change characteristics of the variable. The mapping and transformation unit, connected to the variable pool unit, is used to reassemble the high-weight payload in the standard bitstream container into an elastic bitstream based on the bit-width mask. The load saturation monitoring unit is used to sense the fill rate of the standard bitstream container in real time and generate a negative feedback offset command based on the fill rate to modulate the quantization bit width in the mapping conversion unit in real time. When the fill rate reaches the preset physical bandwidth upper limit threshold, the mapping conversion unit responds to the negative feedback offset command and performs low-weight truncation on the non-core spatiotemporal parameters in the heterogeneous feature variables, maintaining the bit weight of the core spatiotemporal synchronization parameters in the elastic bitstream in an untruncation state.

[0022] Preferably, the variable pool unit is equipped with a residual predictor; the residual predictor is used to calculate the residual bit vector between the original bit stream and the predicted bit stream of the heterogeneous feature variables; when the length of the residual bit vector is lower than the preset resolution threshold, the sensitivity mask generation unit sets the bit width mask to a single-bit resting identifier; when the resting identifier is detected, the mapping conversion unit performs transmission suppression until the physical offset exceeds the preset sensitivity threshold and then restarts the reassembly operation of the elastic bit stream.

[0023] Preferably, the mapping conversion unit is used to generate a length verification parameter and logically couple the length verification parameter with the synchronization placeholder at the end of the elastic bit stream to construct a self-verification sequence of the bit stream topology; the system also includes a receiver decapsulation module, which is used to: identify bit flipping errors of the bit width mask in the transmission environment by comparing the consistency between the physical cutting boundary and the logical anchor point, and perform in-situ correction according to the synchronization placeholder.

[0024] Preferably, the mapping and transformation unit follows a weight allocation rule when performing low-weight truncation, and the weight allocation rule is expressed by the following formula: ,in, Let n be the total length of the elastic potential flow, and n be the number of heterogeneous characteristic variables. Let be the initial bit width of the i-th feature variable. This is the cutoff bit width of the i-th feature variable determined based on the fill rate.

[0025] Preferably, the heterogeneous feature variables include: high-frequency spatiotemporal synchronization parameters with a preset first weight level and environmental attribute variables with a preset second weight level; when the fill rate reaches the preset physical bandwidth upper limit threshold, the mapping and transformation unit preferentially performs low-weight truncation of the environmental attribute variables until the fill rate drops to the preset safe range.

[0026] Preferably, the sensitivity mask generation unit is also used to: dynamically adjust the weight assignment of the core spatiotemporal synchronization parameters according to the synchronization level instruction of the energy allocation physical topology, so as to change the truncation priority order of the mapping conversion unit under different scheduling cycles.

[0027] Preferably, the residual predictor integrates an adaptive learning operator, which is used to modify the generation logic of the predicted bit stream based on the historical temporal distribution characteristics of the heterogeneous feature variables, so as to reduce the proportion of non-zero bits in the residual bit vector.

[0028] Preferably, the elastic bit stream is transmitted through a short message channel based on satellite synchronization signals, and the mapping and conversion unit performs frame packing on the reassembled elastic bit stream according to the maximum payload length of a single message in the short message channel.

[0029] Preferably, the load saturation monitoring unit is also connected to a congestion prediction unit, which is used to: calculate a congestion trend value based on the rate of change of the fill rate, and send an early warning signal to the mapping conversion unit when the congestion trend value reaches a preset trend threshold; after receiving the early warning signal, the mapping conversion unit adjusts the step size of the low-weight truncation to a preset excitation threshold.

[0030] Preferably, the system further includes a storage unit, which is used to provide the physical parameter boundaries of the preset sensitivity threshold, the physical bandwidth upper limit threshold of the load saturation monitoring unit, and the initial values ​​of the weight allocation rules.

[0031] Example 1: The system is applied to an energy distribution physical topology with multi-node interaction attributes. The variable pool unit acquires heterogeneous feature variables characterizing the physical state of distributed energy exchange nodes and converts these heterogeneous feature variables into a standard bitstream container. The heterogeneous feature variables include high-frequency spatiotemporal synchronization parameters with a preset first weight level and environmental attribute variables with a preset second weight level. The sensitivity mask generation unit generates a bit-width mask based on the physical offset of the heterogeneous feature variables relative to a preset sensitivity threshold, where the preset sensitivity threshold is a bit-jump threshold characterizing the abrupt change characteristics of the variables. The standard bitstream container consists of a fixed frame... The physical register block is structured in a specific format. Its internal logical topology is divided into a 16-bit start delimiter, an 8-bit identifier field representing the heterogeneous variable data type, and a 512-bit fixed-length data storage field. The variable pool unit extracts the numerical matrix of the heterogeneous characteristic variables, converts it into an absolute binary sequence, and pushes it into the data storage field in a first-in, first-out order. The elastic bitstream is a compressed data frame stripped of the aforementioned static identifier field. Its data field bit width boundary is dynamically defined by the non-zero bit sequence in the bit-width mask. The mapping and conversion unit extracts the data from the standard bitstream container data storage field that corresponds to the bit-width mask. The high-weight bit segment corresponding to the 1-mark bit is used as the high-weight payload. These extracted bit segments are concatenated in physical memory in ascending order of timestamp. Simultaneously, a 2-bit logical anchor is hard-embedded between the payloads of each adjacent variable as a physical delimiter during decapsulation. The mapping conversion unit is connected to the variable pool unit and reassembles the high-weight payloads in the standard bitstream container into an elastic bitstream based on the bit-width mask. The load saturation monitoring unit senses the fill rate of the standard bitstream container in real time and generates a negative feedback offset instruction based on the fill rate to modulate the quantization bit width in the mapping conversion unit in real time. When the fill rate reaches... When the preset physical bandwidth upper limit threshold is reached, the mapping and conversion unit responds to the negative feedback offset instruction and prioritizes low-weight truncation of environmental attribute variables until the fill rate drops to the preset safe range. At the same time, the bit weight of the core spatiotemporal synchronization parameter in the elastic bit stream is maintained in an untruncation state. Under normal monitoring conditions, the core spatiotemporal synchronization parameter is hard-coded in the underlying code as the highest level of untruncation protection object, and its truncation depth parameter is forcibly locked to zero. That is, before the quantization weight of the environmental attribute variables is completely truncated and exhausted, the core spatiotemporal synchronization parameter is absolutely exempt from low-weight elimination operation to ensure the continuity of time period.However, when a multi-node cluster topology undergoes spatial reconstruction and receives a high-order instruction to change the synchronization level, the sensitivity mask generation unit executes a soft isolation release procedure. This procedure removes the redundant check bits and non-critical high-frequency components from the original core spatiotemporal synchronization parameter data packet and temporarily downgrades it to the data addressing area of ​​the second weight level. This removes it from the hard-coded protection umbrella, making it eligible to participate in truncation priority queuing. Meanwhile, the lowest-level coordinate master data segment of this core spatiotemporal parameter remains in an absolutely untruncation state. This achieves logical decoupling between the weight allocation adjustment mechanism and the core parameter protection mechanism within the underlying scheduling system.

[0032] When the mapping and transformation unit performs low-weight truncation, it follows a weighting rule, which is expressed by the following formula: ,in, Let n be the total length of the elastic potential flow, and n be the number of heterogeneous characteristic variables. Let be the initial bit width of the i-th feature variable. The truncated bit width of the i-th feature variable is determined based on the fill rate. The mapping and conversion unit generates a length check parameter and logically couples the length check parameter with the synchronization placeholder at the end of the elastic bit stream to construct a self-checking sequence of the bit stream topology. The receiving end decapsulation module identifies bit flip errors in the bit width mask under the transmission environment by comparing the consistency between the physical cutting boundary and the logical anchor point, and performs in-situ correction based on the synchronization placeholder. After receiving the data, the receiving end decapsulation module first extracts the length check parameter at the end according to the preset frame format. During decapsulation, if the physical cutting boundary of a certain adjacent variable does not match the expected position of the two adjacent logical anchor points, it is determined that a bit flip or bit stream alignment drift has occurred during transmission. At this time, the system uses the synchronization placeholder at the end of the elastic bit stream as the absolute time domain alignment reference, reversely calculates the total number of bits in the current frame, and compares the measured total length with the length check parameter. The theoretical length recorded by the verification parameters is matched using parity-even-XOR-XOR. Since the effective payload boundary of each variable segment is dynamically defined by the bit-width mask, when a single-bit offset is detected at the physical cutting boundary, the system searches for specific high-low level transition characteristics within three bit windows before and after the logic anchor point to determine the damaged bit that has undergone bit flipping. The damaged bit is then directly inverted in the physical register, thus achieving in-situ correction without the need to introduce complex error correction codes. The residual predictor in the variable pool unit is used to calculate the residual bit vector between the original bit stream and the predicted bit stream of the heterogeneous feature variables. When the length of the residual bit vector is lower than the preset resolution threshold, the sensitivity mask generation unit sets the bit-width mask to a single-bit resting identifier. The mapping conversion unit performs transmission suppression when the resting identifier is detected, until the physical offset exceeds the preset sensitivity threshold, at which point the reassembly operation of the elastic bit stream is restarted.

[0033] Example 2: This example deploys a general-purpose communication measurement variable conversion and transmission system for the BeiDou positioning architecture on a specific physical simulation platform to verify the system's dynamic adaptive conversion performance under narrow bandwidth constraints. The physical simulation platform includes a main control processor and a BeiDou short message simulation channel to simulate the uplink data operation of observation stations in the BeiDou positioning architecture. The experimental data comes from a distributed energy exchange node monitoring database. Heterogeneous characteristic variables include carrier phase observations with a sampling frequency of 100Hz and transformer top oil temperature data with a sampling frequency of 1Hz. To simulate an industrial environment, Gaussian white noise with a signal-to-noise ratio of 20dB and 50Hz power frequency harmonic interference are superimposed on the experimental signal stream. To bridge the scale gap between microsecond-level carrier phase observations and second-level transformer top-layer oil temperature data in terms of physical response time and energy evolution, the system incorporates a cross-domain time alignment buffer mechanism at the front-end physical access point of the variable pool unit. The main control processor's extraction logic is uniformly anchored to a 100Hz reference clock frequency. For 1Hz transformer top-layer oil temperature data, the system continuously extracts the most recently updated static discrete value from the 100 sampling pulses emitted within the same second, and uses a zero-order hold circuit to horizontally expand it along the time axis into a 100Hz stationary sequence with the same dimension as the carrier phase observations. After this time-dimensional alignment process, the high-frequency microscopic positioning parameters and the low-frequency macroscopic thermal parameters are aligned. The parameters are forcibly mapped to the same parallel processing timing in the digital domain, enabling subsequent system functional modules to perform synchronous decimation, comparison, and logical yielding on two data chains with drastically different physical properties under a unified clock edge trigger. To overcome the problem of residual predictor deadlock caused by a large number of zero residuals generated after the zero-order hold extension of macroscopic thermodynamic parameters, and the problem of severe oscillation in the saturation monitoring feedback loop caused by the 1 Hz update, this invention introduces a dead-zone dynamic smoothing filter and a rate of change limiting mechanism during the mapping process. When the oil temperature data is in the static hold phase, although the original residual of 99 consecutive samples is zero, the system does not directly determine it as globally resting, but... By combining historical time-series characteristics with the residual predictor, when more than 50 consecutive zero residuals are detected, a suspension protection state is automatically initiated to maintain the current bit width marker, preventing false triggering of transmission suppression. Simultaneously, when the actual transition edge of the 1 Hz oil temperature data arrives, to avoid blind truncation of the quantization bit width due to a surge in instantaneous fill rate, the load saturation monitoring unit, upon receiving a change in the fill rate of the standard bit flow container, initiates a moving-time averaging window with a depth of 5 cycles. This window performs low-pass filtering to smooth the rate of change of the fill rate, thereby eliminating transient overshoot caused by cross-scale data transitions. This ensures smooth convergence of the negative feedback offset command modulation process, preventing control deadlock or loop oscillations in the system. (Sampling period...) The frequency spectrum width of the monitored signal is set, including the high-frequency spatiotemporal synchronization parameter. The preset sensitivity threshold is 10ms. The unit is 0.05. The test groups include the test group, control group 1, control group 2, and control group 3. Control group 1 uses a 16-bit fixed width transmission protocol, control group 2 removes the load saturation monitoring unit, and control group 3... The value was set to 0.5 units. Under standard operating conditions, the test group set the bit width mask to an effective transition identifier through the sensitivity mask generation unit, which reduced the average transmission bit width of the high-frequency spatiotemporal synchronization parameter from 16 bits to 6.4 bits. At this time, the bandwidth occupancy rate of the Beidou short message channel was 42.5%, while the bandwidth occupancy rate of the control group was 96.8%. When the physical bandwidth upper limit threshold was set to 560 bits per minute, the load saturation monitoring unit sensed that the filling rate of the standard bit stream container exceeded the threshold of 85% and generated a negative feedback offset command.

[0034] In the experimental group, the mapping and transformation unit responded to the instruction by performing low-weight truncation on environmental attribute variables with lower weight levels, adjusting the resolution of the environmental attribute variables from 0.1℃ to 0.5℃, and the truncation bit width... The data stream is 4 bits, and the accuracy of the high-frequency spatiotemporal synchronization parameter remains at 1.0 mm without truncation. In control group two, the lack of feedback adjustment logic caused the total length of the elastic bit stream to exceed the channel limit, resulting in carrier phase data frame overflow. The positioning and settlement success rate dropped from 99.2% in the experimental group to 74.6%. Verification of nonlinear effects showed that when the physical offset is lower than... When the length of the residual bit vector calculated by the residual predictor is lower than the preset resolution threshold, the system generates a single-bit resting flag and performs transmission suppression. At this time, the transmission suppression rate is 92.4%. In control group three, due to... An excessively high setpoint resulted in undersampling, increasing the root mean square error of the measurement results from 0.012 in the experimental group to 0.158; at a channel bit error rate of In the interference environment, the test group identified and corrected 15.2% of single-bit flip errors by comparing the synchronization placeholder at the end of the elastic bitstream with the length check parameter. The data change trend in the test group confirmed that the system adjusts the quantization bit width through load saturation feedback to achieve the matching of measurement resolution and physical bandwidth, ensuring the temporal continuity of the core spatiotemporal synchronization parameter under extreme conditions.

[0035] Example 3: In the case of multiple unmanned aerial vehicles (UAVs) collaboratively performing a space positioning task, each UAV node acts as a distributed energy exchange unit, transmitting high-frequency carrier phase residual parameters back to the ground base station. When the number of clusters increases, causing changes in the intermodulation interference intensity of the BeiDou short message channel, and the system does not control the bit stream distribution during the measurement variable conversion process, the receiving end decapsulation module generates bit offset alignment deviation during the decapsulation operation. The residual predictor in the variable pool unit uses a first-order differential approximation algorithm to generate the predicted bit stream. The residual predictor caches the physical state quantity of the previous moment and uses it as the prediction reference for the current moment. It performs an XOR operation between the original bit stream collected at the current moment and the prediction reference to obtain the residual bit vector. The sensitivity mask generation unit executes a threshold adaptive calibration procedure. The calibration procedure obtains the real-time signal power and noise power of the BeiDou short message simulated channel and determines the preset sensitivity threshold. Preset sensitivity threshold The calculation formula is as follows: ,in, The preset sensitivity threshold is given, and k is the proportionality coefficient. The effective power of the signal is expressed in watts. The minimum signal-to-noise ratio threshold to ensure the continuity of the communication link.

[0036] After obtaining the bit-width mask, the mapping and conversion unit establishes an addressing index table in descending order of bit weight. Based on the addressing index table, it extracts non-zero bits from the standard bit stream container and sequentially fills them into the physical register of the elastic bit stream. When the fill rate of the standard bit stream container reaches the 90% physical bandwidth upper limit threshold, the load saturation monitoring unit triggers the quantization weight truncation logic. This logic calculates the effective information density of the environmental attribute variables and uses it as the truncation depth. The input variables ensure that the starting storage address of the core spatiotemporal synchronization parameter in the elastic bit stream remains constant; the effective information density is defined as the ratio of the total number of logic level inversions of the environmental attribute variable within a specific 10-second time window to the total amount of transmission quantization bits currently allocated to the variable; the load saturation monitoring unit has an embedded fixed mapping reference table. When the calculated effective information density is lower than the lower limit threshold of 0.2, it is directly determined that the low weight bits of the variable are occupied by redundant resting state data. At this time, the system addresses the mapping reference table and increases the step size by 1 bit for every 0.05 decrease in density value, outputting the specific truncation depth value back to the truncation unit until the total length of the elastic bit stream falls back to the lower boundary of the physical bandwidth upper limit threshold; the receiving end decapsulation module uses synchronization placeholders to locate the logical boundary of heterogeneous feature variables, with a bit error rate of In the presence of interference, the system achieves a data frame parsing success rate of 94.2% by comparing the length verification parameter with the self-verification sequence.

[0037] Example 4: In the pre-commissioning process of distributed measurement nodes accessing the BeiDou positioning channel, a standardized silent sampling procedure is executed to determine the preset sensitivity threshold. As a physical benchmark, the processor-driven variable pool unit opens a background noise monitoring window with a sampling duration of 300s when no external excitation signal is received. The mean value of the background noise power spectral density is calculated using the raw bit current obtained within the monitoring window, and this mean value is defined as the environmental background noise benchmark. Sensitivity mask generation unit extracts environmental noise baseline. With signal effective power Linear scaling factor between Thus, the preset sensitivity threshold is achieved. The system matches the electromagnetic shielding effectiveness of different physical sites and provides a physically meaningful initial input criterion for the generation of the bit-width mask. This linear scaling factor is essentially a dimensionless empirical constant that corrects for environmental attenuation. The upper and lower limits of its actual value depend on the wall thickness of the metal casing of the field distribution box and the measured impedance distribution of the node grounding grid. Under standard industrial electromagnetic compatibility environment, the value range of this factor is strictly controlled and calibrated within the range of 0.5 to 2.0. When the field instrument detects that the noise floor reference has objectively increased due to the corrosion and aging of the physical casing, it means that the electromagnetic shielding effectiveness of the site casing has irreversibly dissipated. The system will directly amplify the value of this factor according to the preset positive proportional linear slope and seamlessly substitute it into the aforementioned sensitivity threshold calculation formula. In this way, by increasing the threshold level required for triggering the transition, the system will forcibly filter out the stray spatial interference transition caused by poor shielding.

[0038] When the system encounters channel gain fluctuations due to antenna performance degradation or drastic changes in the tropospheric refraction environment, the load saturation monitoring unit triggers a logic recalibration procedure based on a weighted sliding window. This procedure dynamically updates the minimum signal-to-noise ratio threshold every 3600 seconds. The discrete values ​​are mapped and transformed by the mapping and transformation unit based on the updated bit weight addressing. Calculate the cutoff depth The system compensates for the bitstream topology error rate by adjusting the physical address mapping logic of the elastic bitstream physical registers to offset the bit alignment drift induced by physical link loss. During the 24-hour continuous stress test, the system maintains the self-checking error rate of the bitstream topology below 0.1% through a closed maintenance mechanism. When executing the logic recalibration procedure, the system defines the physical memory depth of the sliding window as a high-speed cache queue sufficient to accommodate 600 consecutive channel sampling states, and performs first-in-first-out iteration of the queue according to the translation distance of 60 independent sampling points. As the window advances periodically, the main control processor synchronously extracts the background noise peak level of the time nodes covered in the window array, uses the weighted moving average algorithm to perform noise filtering and smoothing calculation on the extracted discrete levels, and uses the mathematical extreme value obtained on the smoothing curve after digital-to-analog conversion as the minimum signal-to-noise ratio threshold for the next update cycle for direct execution.

[0039] Example 5: In the industrial application scenario of monitoring assets in ultra-high voltage substations, the system executes a pre-calibration procedure to match the quantization resolution with the sensitivity threshold, and obtains the physical dynamic range of heterogeneous characteristic variables. The quantization step δ is determined based on the preset quantization bit depth m; its calculation formula is as follows: Where δ is the quantization step. The physical dynamic range is given by m, where m is the number of quantization bits. The sensitivity mask generation unit compares the quantization step δ with a preset sensitivity threshold. The amplitude relationship is used to establish the logical flip reference of the bit-width mask, when the quantization step δ is not greater than the preset sensitivity threshold. At that time, the system maps the minimum change in the bit-width mask to the single-bit transition threshold of the physical offset. When performing calibration for environmental attribute variables with a physical dynamic range of 100.0℃ and a preset quantization bit depth of 10 bits, the quantization step δ is determined to be 0.098℃. This value is related to the preset sensitivity threshold of 0.1℃. Matching establishes the association between heterogeneous feature variables from the physical domain to the bit domain; when the distributed energy exchange node completes the physical link handshake and enters the data injection state, the variable pool unit executes the initial state alignment procedure of the residual predictor, continuously collects the original bit stream for 128 sampling periods and calculates the sliding arithmetic mean to generate the reference benchmark of the first predicted bit stream.

[0040] Meanwhile, the standard bitstream container contains a 512-bit physical register block. The mapping and conversion unit divides the physical register block into a core addressing area and a non-core addressing area according to the first weight level and the second weight level. Based on this, the mapping and conversion unit periodically performs parity calculation of the bitstream topology and writes the calculation result as a length check parameter to the end of the elastic bitstream. By performing a modulo-2 operation on the physical position of the synchronization placeholder and the effective payload length of the elastic bitstream, the system achieves data frame alignment check without additional synchronization message overhead. During a continuous 168-hour stress test, the system operated with a bandwidth utilization fluctuation of less than 2.0% and no logical overflow.

[0041] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A general communication measurement variable conversion and transmission system for a Beidou positioning architecture, characterized in that, The system includes: The variable pool unit is used to obtain heterogeneous feature variables that characterize the physical state of distributed energy exchange nodes and convert the heterogeneous feature variables into standard bit stream containers. The sensitivity mask generation unit is used to generate a bit-width mask based on the physical offset of the heterogeneous feature variable relative to a preset sensitivity threshold. The preset sensitivity threshold is a bit jump threshold that characterizes the abrupt change characteristics of the variable. The mapping and transformation unit, connected to the variable pool unit, is used to reassemble the high-weight payload in the standard bitstream container into an elastic bitstream based on the bit-width mask. The load saturation monitoring unit is used to sense the fill rate of the standard bitstream container in real time and generate a negative feedback offset command based on the fill rate to modulate the quantization bit width in the mapping conversion unit in real time. When the fill rate reaches the preset physical bandwidth upper limit threshold, the mapping conversion unit responds to the negative feedback offset command and performs low-weight truncation on the non-core spatiotemporal parameters in the heterogeneous feature variables, maintaining the bit weight of the core spatiotemporal synchronization parameters in the elastic bitstream in an untruncation state. 2.The general communication measurement variable conversion and transmission system for Beidou positioning architecture according to claim 1, wherein, The variable pool unit is equipped with a residual predictor; the residual predictor is used to calculate the residual bit vector between the original bit stream and the predicted bit stream of the heterogeneous feature variables; when the length of the residual bit vector is lower than the preset resolution threshold, the sensitivity mask generation unit sets the bit width mask to a single-bit resting identifier; when the resting identifier is detected, the mapping conversion unit performs transmission suppression until the physical offset exceeds the preset sensitivity threshold, at which point the reassembly operation of the elastic bit stream is restarted. 3.The general communication measurement variable conversion and transmission system for Beidou positioning architecture according to claim 1, wherein, The mapping and conversion unit is used to generate a length check parameter and logically couple the length check parameter with the synchronization placeholder at the end of the elastic bit stream to construct a self-checking sequence of the bit stream topology. The system also includes a receiver decapsulation module, which is used to: identify bit flipping errors of the bit width mask in the transmission environment by comparing the consistency between the physical cutting boundary and the logical anchor point, and perform in-situ correction according to the synchronization placeholder.

4. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 1, characterized in that, The mapping conversion unit follows a weight distribution rule when performing low bit truncation, and the weight distribution rule is represented by the following formula: wherein, is the total length of the elastic bit stream, n is the number of heterogeneous feature variables, is the initial bit width of the i-th feature variable, is the truncated bit width of the i-th feature variable determined according to the filling rate.

5. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 1, characterized in that, Heterogeneous feature variables include: high-frequency spatiotemporal synchronization parameters with a preset first weight level and environmental attribute variables with a preset second weight level; when the fill rate reaches the preset physical bandwidth upper limit threshold, the mapping and transformation unit first performs low-weight truncation of the environmental attribute variables until the fill rate drops to the preset safe range.

6. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 1, characterized in that, The sensitivity mask generation unit is also used to: dynamically adjust the weight assignment of core spatiotemporal synchronization parameters according to the synchronization level instructions of the energy allocation physical topology, so as to change the truncation priority order of the mapping conversion unit under different scheduling cycles.

7. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 2, characterized in that, The residual predictor integrates an adaptive learning operator, which is used to correct the generation logic of the predicted bit stream based on the historical temporal distribution characteristics of the heterogeneous feature variables.

8. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 1, characterized in that, The elastic bitstream is transmitted through a short message channel based on satellite synchronization signals. The mapping and conversion unit performs frame packing on the reassembled elastic bitstream according to the maximum payload length of a single message in the short message channel.

9. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 1, characterized in that, The load saturation monitoring unit is also connected to a congestion prediction unit. The congestion prediction unit is used to: calculate the congestion trend value based on the rate of change of the fill rate, and send an early warning signal to the mapping conversion unit when the congestion trend value reaches a preset trend threshold. After receiving the warning signal, the mapping and conversion unit adjusts the step size of the low-weight truncation to the preset excitation threshold.

10. A general-purpose communication measurement variable conversion and transmission system for BeiDou positioning architecture according to claim 1, characterized in that, The system also includes a storage unit, which provides the physical parameter boundaries of the preset sensitivity threshold, the upper limit threshold of the physical bandwidth of the load saturation monitoring unit, and the initial assignment of the weight allocation rules.