Three-network integration miniature card system based on heterogeneous chip integration

Abstract

The invention relates to the technical field of wireless communication networks, in particular to a three-network integration miniature card system based on heterogeneous chip integration, which comprises a hardware layer, a control layer and a communication interface layer. A control layer acquires network state feature information of an operator corresponding to a target SIM chip and health degree feature information of interaction data between each SIM chip and the corresponding operator through a data acquisition module; analyzing the network state characteristic characterization value and the health degree characteristic characterization value through a data analysis module; judging whether the network performance of an operator corresponding to the target SIM chip meets the standard or not based on the network state characteristic characterization value through the central processing module, and judging whether the reliability of data received by the target SIM chip meets the standard or not based on the health degree characteristic characterization value; and through a self-optimization decision-making module, the reason that the reliability does not meet the standard is determined, and a corresponding optimization strategy is matched. According to the invention, the network connection precision and stability of the three-network integration micro card system integrated by heterogeneous chips are improved.

Description

Triple-network converged microcard system based on heterogeneous chip integration Technical Field

[0001] This invention relates to the field of wireless communication network technology, and in particular to a tri-network converged microcard system based on heterogeneous chip integration. Background Technology

[0002] Currently, portable mobile wireless communication devices widely adopt a dual-SIM card integrated architecture to ensure network continuity. Existing multi-SIM handover technologies mostly rely on network layer parameters such as signal strength and network status as the basis for handover, without quantitatively assessing the reliability of data interaction between the SIM chip and the operator. In highly integrated microcards with heterogeneous three-SIM chips, signal fluctuations, network congestion, and electromagnetic interference can easily cause false data transmission alarms and abnormal delays. This leads highly integrated microcard systems to misinterpret distorted data collection as substandard network performance of the operator's base station, resulting in frequent invalid SIM chip handovers. Such problems can cause brief network outages, increased power consumption of terminal devices, and a degraded user experience, making it difficult to meet the requirements of highly integrated microcard systems for stable, continuous, and low-error-prone network connections.

[0003] Chinese Patent Publication No. CN121037929A discloses a system and method for intelligent multi-network integrated SIM cards to autonomously switch operators, including the following steps: after powering on, select the initial SIM card; query the current SIM card's network status, signal strength, and network standard, and analyze the heartbeat data; report the heartbeat data to the management platform; perform three consecutive judgments, and if the network is in an abnormal state, trigger SIM card switching; if all SIM cards are abnormal, sort them by historical signal strength and select the SIM card with the best performance; after switching, perform six consecutive judgments, and if the network is still in an abnormal state, continue switching SIM cards; add a switching frequency limit mechanism and support the platform to issue manual switching commands. Summary of the Invention

[0004] To address this, the present invention provides a tri-network converged microcard system based on heterogeneous chip integration, which overcomes the problem in the prior art that does not consider the operation scenario of highly integrated microcards with heterogeneous multi-SIM chips. In such cases, SIM handover determination is based solely on network signals, and the reliability of data interaction between the SIM chip and the operator is not assessed. This leads to data collection distortion being misjudged as substandard network performance of the operator's base station, resulting in misjudgment of network performance, frequent triggering of invalid SIM chip handover operations, and poor network connection stability of terminal devices.

[0005] To achieve the above objectives, this invention provides a tri-network converged microcard system based on heterogeneous chip integration, comprising: a hardware layer, a control layer, and a communication interface layer; the hardware layer includes a power supply, an MCU, three SIM chips, a reset terminal, and a working clock; the control layer includes a data acquisition module, a data parsing module, a central processing module, and a self-optimizing decision-making module; the data acquisition module is used to acquire network status characteristic information of the corresponding operator for the SIM chip specified by the MCU and health characteristic information of the data exchanged between each SIM chip and the corresponding operator; the data parsing module is used to analyze network status characteristic values ​​based on the network status characteristic information and analyze health characteristic values ​​based on the health characteristic information; the central processing module is used to... The system determines whether the network performance of the target SIM chip's corresponding operator meets the standard based on the network status characteristic values, and whether the reliability of the data received by the target SIM chip meets the standard based on the health characteristic values. The self-optimization decision module determines the reasons for the reliability not meeting the standard based on the interference coefficient, and matches corresponding optimization strategies based on the reasons. The optimization strategies include determining the weights for updating the network diagnostic model, determining the judgment period for updating network performance, and determining the SIM chip reset. The communication interface layer provides communication capabilities suitable for the standard ISO7816 protocol. The network status characteristic information includes signal strength and signal change rate, and the health characteristic information includes false alarm rate and latency.

[0006] Furthermore, the data parsing module is used to analyze network state feature representation values ​​based on the network state feature information, including: the network state feature representation values ​​are determined based on the sum of a first state factor and a second state factor; wherein, the first state factor is determined based on the ratio of a predetermined signal strength threshold to the signal strength; and the second state factor is determined based on the ratio of a predetermined signal change rate threshold to the signal change rate.

[0007] Furthermore, the data parsing module is used to analyze the health characteristic representation value based on the health characteristic information, including: the health characteristic representation value is determined based on the sum of a first health factor and a second health factor; wherein, the first health factor is determined based on the ratio of a predetermined false alarm rate threshold to the false alarm rate; and the second health factor is determined based on the ratio of a predetermined delay duration threshold to the delay duration.

[0008] Furthermore, the central processing module is used to determine whether the network performance of the target SIM chip's corresponding operator meets the standard based on the network status feature representation value, including: if the network status feature representation value is less than or equal to a predetermined network status feature representation threshold, then the network performance is determined to be non-compliant with the standard; if the network status feature representation value is greater than the predetermined network status feature representation threshold, then the network performance is determined to be compliant with the standard.

[0009] Furthermore, the central processing module is used to determine whether the reliability of the data received by the target SIM chip meets the standard based on the health feature characterization value, including: if the health feature characterization value is less than or equal to a predetermined health feature characterization threshold, then the reliability does not meet the standard; if the health feature characterization value is greater than the predetermined health feature characterization threshold, then the reliability meets the standard.

[0010] Furthermore, the self-optimizing decision module is used to analyze the interference coefficient, wherein the interference coefficient is determined based on the difference between a predetermined health feature representation threshold and a health feature representation value.

[0011] Furthermore, the self-optimizing decision module is used to determine the reasons for non-compliance with reliability standards based on the interference coefficient, including: if the interference coefficient is less than or equal to a predetermined first interference coefficient threshold, it is determined to be a signal fluctuation-dominated anomaly; if the interference coefficient is greater than the predetermined first interference coefficient threshold and less than or equal to a predetermined second interference coefficient threshold, it is determined to be a network congestion-dominated anomaly; if the interference coefficient is greater than the predetermined second interference coefficient threshold, it is determined to be an electromagnetic interference-dominated anomaly.

[0012] Furthermore, the self-optimization decision module is used to match corresponding optimization strategies based on the cause, including: if the cause is a signal fluctuation-dominated anomaly, then determining the weight of the updated network diagnostic model; if the cause is a network congestion-dominated anomaly, then determining the judgment period for updating network performance; if the cause is an electromagnetic interference-dominated anomaly, then determining to reset the SIM chip.

[0013] Furthermore, the self-optimization decision module is used to determine the judgment period for updating network performance, wherein the judgment period is positively correlated with the interference coefficient.

[0014] Furthermore, the self-optimizing decision module is used to determine the weights for updating the network diagnostic model, wherein the weights are related to the interference coefficient.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a tri-network converged micro-card system based on heterogeneous chip integration, comprising: a hardware layer, a control layer, and a communication interface layer. The hardware layer integrates a heterogeneous chip architecture to construct a miniaturized and highly stable hardware infrastructure. The control layer, through a data acquisition module, collects network status characteristic information of the operator corresponding to the SIM chip specified by the MCU and health characteristic information of the data exchanged between each SIM chip and its corresponding operator. Through a data parsing module, it analyzes network status characteristic values ​​based on the network status characteristic information and health characteristic values ​​based on the health characteristic information. Through a central processing module, it determines whether the network performance of the target SIM chip's corresponding operator meets the standards based on the network status characteristic values ​​and whether the reliability of the data received by the target SIM chip meets the standards based on the health characteristic values. Through a self-optimization decision module, it determines the reasons for non-compliance with reliability standards based on the interference coefficient and matches corresponding optimization strategies based on the reasons. The communication interface layer enables data interaction between the hardware layer and external terminal devices, is compatible with data transmission requirements under multiple network standards, and provides a unified device management and data query entry point. This invention overcomes the problem in existing technologies that, in the scenario of highly integrated microcards with heterogeneous multi-SIM chips, rely solely on network signals for SIM handover determination, lacking a determination of the reliability of data interaction between the SIM chip and the operator. This leads to data collection distortion being misjudged as substandard network performance of the operator's base station, resulting in misjudgment of network performance, frequent triggering of invalid SIM chip handover operations, and poor network connection stability of terminal devices.

[0016] In particular, this invention acquires signal strength and signal change rate of the corresponding operator for the SIM chip specified by the MCU through a data acquisition module to obtain network status characteristic information. It also acquires false alarm rate and delay duration of the interaction data between each SIM chip and the corresponding operator to obtain health characteristic information. This enables multi-dimensional data capture of the operating status of the heterogeneous chip integrated triple-network converged microcard system, providing comprehensive data support for subsequent network status analysis and thus improving the accuracy of network status determination of the heterogeneous chip integrated triple-network converged microcard system.

[0017] In particular, this invention analyzes the collected network status feature information into a first state factor and a second state factor through a data parsing module, and sums them to obtain the network status feature representation value. It also converts the collected health feature information into a first health factor and a second health factor, and sums them to obtain the health feature representation value. This allows data from different dimensions to be quantified into dimensionless values, thereby improving the processing efficiency of the heterogeneous chip integrated triple-play microcard system for analyzing network operation status.

[0018] In particular, this invention compares the network status feature representation value with a predetermined network status feature representation threshold through a central processing module to determine whether the network performance of the target SIM chip's corresponding operator meets the standard. When the network status feature representation value is less than or equal to the predetermined network status feature representation threshold, it is determined that the network performance does not meet the standard. Furthermore, based on the comparison result of the health feature representation value and the predetermined health feature representation threshold, it is determined whether the reliability of the data received by the target SIM chip meets the standard, and whether the data collection distortion is mistakenly judged as the network performance of the operator's base station being substandard. Therefore, the optimization strategy is executed only when the network performance of the corresponding operators of all three SIM chips does not meet the standard and the reliability of the data received by the SIM chip does not meet the standard, thereby improving the accuracy of the heterogeneous chip integrated triple-network converged microcard system in identifying abnormal network operation conditions.

[0019] In particular, this invention first calculates the difference between a predetermined health feature representation threshold and a health feature representation value through a self-optimizing decision module. The difference is used as an interference coefficient, and the reasons why the reliability of the data received by the SIM chip does not meet the standard are classified based on the interference coefficient. The root causes of the anomalies are classified into three categories: signal fluctuation-dominated, network congestion-dominated, and electromagnetic interference-dominated. Corresponding optimization strategies are matched according to the type of anomaly cause, thereby improving the pertinence of the heterogeneous chip integrated triple-network converged microcard system for network operation anomalies. Attached Figure Description

[0020] Figure 1 is a structural block diagram of a tri-network converged microcard system based on heterogeneous chip integration according to an embodiment of the present invention; Figure 2 is a logic determination diagram of an embodiment of the present invention for determining whether the network performance of the target SIM chip corresponding to the operator meets the standard based on the network status feature characterization value; Figure 3 is a logic determination diagram of an embodiment of the present invention for determining whether the reliability of the data received by the target SIM chip meets the standard based on the health feature characterization value; Figure 4 is a logic determination diagram of an embodiment of the present invention for determining the reasons for the reliability not meeting the standard and the corresponding optimization strategy based on the interference coefficient. Detailed Implementation

[0021] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0022] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0023] It should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Please refer to Figure 1, which is a structural block diagram of a tri-network converged microcard system based on heterogeneous chip integration according to an embodiment of the present invention. The present invention provides a tri-network converged microcard system based on heterogeneous chip integration, comprising: a hardware layer, a control layer, and a communication interface layer; the hardware layer includes a power supply, an MCU, three SIM chips, a reset terminal, and a working clock; the control layer is used to receive data information transmitted from the hardware layer and includes a data acquisition module, a data parsing module, a central processing module, and a self-optimizing decision-making module; the data acquisition module is used to acquire network status characteristic information of the corresponding operator for the SIM chip specified by the MCU and health characteristic information of the data exchanged between each SIM chip and its corresponding operator; the data parsing module is connected to the data acquisition module and is used to analyze network status characteristic values ​​based on the network status characteristic information and analyze health characteristic values ​​based on the health characteristic information. The central processing module, connected to the data parsing module, is used to determine whether the network performance of the target SIM chip's corresponding operator meets the standard based on the network status characteristic values, and to determine whether the reliability of the data received by the target SIM chip meets the standard based on the health characteristic values. The self-optimization decision module, connected to the data acquisition module, the data parsing module, and the central processing module, is used to determine the reasons for the reliability not meeting the standard based on the interference coefficient, and to match corresponding optimization strategies based on the reasons. The optimization strategies include determining the weights for updating the network diagnostic model, determining the judgment period for updating network performance, and determining the SIM chip reset. The communication interface layer is used to provide communication capabilities applicable to the standard ISO7816 protocol. The network status characteristic information includes signal strength and signal change rate, and the health characteristic information includes false alarm rate and delay duration.

[0025] This invention also provides a method for a tri-network converged microcard system based on heterogeneous chip integration, comprising: Step S1, the terminal device performs network access authentication on the default SIM chip; Step S2, after successful network access authentication, the network status feature information of the operator corresponding to the SIM chip specified by the MCU is collected; Step S3, the network status feature characterization value is analyzed based on the network status feature information; Step S4, based on the comparison result of the network status feature characterization value and the predetermined network status feature characterization threshold, it is determined whether the network performance of the operator corresponding to the target SIM chip meets the standard; if the network performance meets the standard, monitoring continues; Step S5, in response to the network performance not meeting the standard, a SIM chip switching decision is executed, and steps S2 to S4 are repeated; if the network performance of the operators corresponding to all three SIM chips does not meet the standard, the network performance of each SIM chip and the corresponding operator are collected. The network status features are analyzed based on the health feature information. Step S6: The health feature values ​​are analyzed, and the optimal SIM chip is selected as the working chip based on these values. Step S7: The reliability of the data received by the target SIM chip is determined based on the comparison between the optimal SIM chip's health feature values ​​and a predetermined health feature threshold. Step S8: When the reliability does not meet the standard, the interference coefficient is calculated. Step S9: The reason for the reliability not meeting the standard is determined based on the interference coefficient, and a corresponding optimization strategy is matched based on the reason. Step S10: The MCU records the complete decision chain data to the local log for subsequent machine learning model iteration. The network status features include signal strength and signal change rate, and the health features include false alarm rate and latency.

[0026] As is understandable, signal strength reflects the power value of the wireless radio frequency signal transmitted by the operator's base station received by the MCU, measured in dBm. The calculation formula is the logarithm of the ratio of the measured received power to the reference power, which is equal to 10 times the signal strength.

[0027] As we can understand, the signal change rate refers to the magnitude of change in the strength of the wireless radio frequency signal received by the MCU from the operator's base station, measured in dBm / s. The calculation formula is the absolute value of the ratio of the difference in signal strength between adjacent acquisition periods to the duration of the acquisition period. A higher signal change rate indicates a more unstable signal, necessitating proactive measures to mitigate the risk of network outages.

[0028] Understandably, the false alarm rate is the proportion of abnormal data frames to the total number of transmitted data frames during data interaction between the SIM chip and the corresponding operator's base station. A higher false alarm rate indicates lower data transmission reliability and a higher judgment error in the heterogeneous chip-integrated triple-play microcard system.

[0029] As we can understand, latency refers to the time between the SIM chip sending data and receiving a response frame from the corresponding operator's base station, measured in milliseconds. A higher latency value indicates a slower network response and lower data transmission efficiency.

[0030] Understandably, the SIM chip with the largest health characteristic value is selected as the working chip based on the real-time calculated health characteristic value, and is recorded as the optimal SIM chip.

[0031] In this embodiment, at any given time, only one SIM chip in the triple-play microcard system communicates with the terminal device. The main control MCU in the triple-play microcard system automatically runs after the terminal device is powered on. When the terminal device sends a SIM protocol common APDU command to read ICCID, IMSI data, etc., the main control MCU remains silent, and the corresponding SIM chip replies with the ICCID and IMSI data to the terminal device. The terminal device then sends the data to the corresponding operator's network to perform network access authentication for the SIM chip. The responses to ICCID, IMSI, and authentication data all originate from the operator's card; the MCU does not participate in the interaction with the operator's data.

[0032] In this embodiment, when the triple-play microcard system is first started, the default SIM chip is set to a China Unicom SIM sub-card. The execution priority of the SIM chip switching decision, from high to low, is China Unicom SIM sub-card, China Mobile SIM sub-card, and China Telecom SIM sub-card. Each time the terminal device restarts, the SIM chip automatically switches to the next priority SIM chip. After each SIM chip switching decision, the current SIM chip undergoes a new network access authentication operation. If the network access authentication verification fails, the SIM chip switching continues according to the execution priority.

[0033] Understandably, the three SIM chips, SIM1, SIM2, and SIM3, are configured as China Unicom SIM sub-cards, China Mobile SIM sub-cards, and China Telecom SIM sub-cards, respectively. The terminal device provides the operating power VCC of the three-network converged micro-card system through the card slot, and also supplies power to the three SIM chips and the main control MCU. The terminal device provides the operating clock SIM_CLK of the three-network converged micro-card system through the card slot, and also provides the Clock signal to the three SIM sub-cards and the main control MCU.

[0034] Understandably, the terminal device provides the SIM_RST signal of the triple-network converged micro card system through the card slot. The signal is only provided to the main control MCU. The main control MCU then outputs three independent Reset signals to three different SIM daughter cards. The main control MCU activates the corresponding SIM daughter card Reset signal according to the default settings and instructions. The other two unused Reset signals do not work, keeping their corresponding two SIM daughter cards in a silent state.

[0035] Understandably, the terminal device connects directly to the main control MCU via the SIM_DATA signal of the card slot, and then connects to three SIM daughter cards simultaneously through a matching circuit. The main control MCU connects to the common DATA signal of the three SIM daughter cards via a GPIO interface. The main control MCU monitors all commands sent by the terminal device on the SIM_DATA signal line in real time. If the terminal device sends a general APDU command, the main control MCU does not process it, and the SIM daughter card selected by the Reset signal directly interacts with the terminal device. If the terminal device sends a proprietary command, the main control MCU intercepts it and replies according to the design logic. Simultaneously, it pulls the GPIO low to block the DATA signal of the SIM daughter card, preventing the corresponding SIM daughter card from receiving the corresponding information, thus preventing automatic replies from the SIM daughter card and data conflicts with the main control MCU's reply, which could lead to communication errors with the terminal device.

[0036] This invention provides a tri-network converged microcard system based on heterogeneous chip integration. The system integrates a heterogeneous chip architecture at the hardware layer to construct a miniaturized and highly stable hardware foundation. The control layer, through a data acquisition module, collects network status characteristic information of the corresponding operator for the SIM chip specified by the MCU, as well as health characteristic information of the data exchanged between each SIM chip and its corresponding operator. A data parsing module analyzes network status characteristic values ​​based on the network status characteristic information and health characteristic values ​​based on the health characteristic information. A central processing module determines whether the network performance of the target SIM chip's corresponding operator meets standards based on the network status characteristic values ​​and whether the reliability of the data received by the target SIM chip meets standards based on the health characteristic values. A self-optimization decision module determines the reasons for non-compliance with reliability standards based on the interference coefficient and matches corresponding optimization strategies based on these reasons. A communication interface layer enables data interaction between the hardware layer and external terminal devices, supporting data transmission requirements under multiple network standards and providing a unified device management and data query entry point. This invention improves the network connection stability of the heterogeneous chip integrated tri-network converged microcard.

[0037] Specifically, the data parsing module is used to analyze network state feature representation values ​​based on the network state feature information, including: the network state feature representation values ​​are determined based on the sum of a first state factor and a second state factor; wherein, the first state factor is determined based on the ratio of a predetermined signal strength threshold to the signal strength; and the second state factor is determined based on the ratio of a predetermined signal change rate threshold to the signal change rate.

[0038] In this embodiment, the single acquisition period is preset, and the preferred single acquisition period is 100 milliseconds.

[0039] In this embodiment, the predetermined signal strength threshold is preset. Specifically, signal strength samples from 10 historical acquisition periods are predetermined, and the predetermined signal strength threshold is determined based on the average value of the signal strength samples. The threshold is determined within the range [-110, -100]. Based on the network signal reception requirements of the SIM chip for the operator's base station, an optimal value that is 6% higher than the lower limit of the measured value is selected. In this embodiment, the predetermined signal strength threshold is preferably -103dBm.

[0040] In this embodiment, the predetermined signal change rate threshold is preset. Specifically, signal change rate samples within 10 historical acquisition periods are predetermined, and the predetermined signal change rate threshold is determined based on the average value of the signal change rate samples. The threshold is determined within the range [0.08, 0.10]. According to the monitoring requirements of the SIM chip for the stability of the operator's base station network signal, an optimal value that meets 90% of the upper limit of the measured value is selected. In this embodiment, the predetermined signal change rate threshold is preferably 0.09 dBm / s.

[0041] In this embodiment of the invention, the network state feature information is processed into a first state factor and a second state factor through a data parsing module, and the network state feature representation value is obtained by summing them. This can transform two types of network data with different dimensions and units into a unified dimensionless index, thereby improving the reliability of network state analysis in the triple-play microcard system.

[0042] Specifically, the data parsing module is used to analyze the health characteristic representation value based on the health characteristic information, including: the health characteristic representation value is determined based on the sum of a first health factor and a second health factor; wherein, the first health factor is determined based on the ratio of a predetermined false alarm rate threshold to the false alarm rate; and the second health factor is determined based on the ratio of a predetermined delay duration threshold to the delay duration.

[0043] In this embodiment, the predetermined false alarm rate threshold is preset. Specifically, false alarm rate samples within 10 historical collection periods are predetermined, and the predetermined false alarm rate threshold is determined based on the average value of the false alarm rate samples. The threshold is determined within the range [0.03, 0.05]. Based on the anti-interference requirements of the heterogeneous three-SIM chip high-integration microcard, an optimal value that meets 80% of the upper limit of the measured value is selected. In this embodiment, the predetermined false alarm rate threshold is preferably 4%.

[0044] In this embodiment, the predetermined delay duration threshold is preset. Specifically, delay duration samples within 10 historical acquisition cycles are predetermined, and the predetermined delay duration threshold is determined based on the average value of the delay duration samples. The threshold is determined within the range [30, 35]. Based on the low-latency transmission requirements of portable mobile wireless communication devices, an optimal value that meets 95% of the upper limit of the measured value is selected. In this embodiment, the predetermined delay duration threshold is preferably 33 milliseconds.

[0045] In this embodiment of the invention, the health feature information is processed into a first health factor and a second health factor through a data parsing module, and the health feature representation value is obtained by summing them. This can transform data representing the quality of data interaction between the SIM chip and the operator in different dimensions into a unified quantitative indicator in combination with actual hardware operation requirements, thereby improving the accuracy of data transmission reliability analysis of the triple-play microcard system.

[0046] Please refer to Figure 2, which is a logic diagram for determining whether the network performance of the target SIM chip corresponding to the operator meets the standard based on the network status feature characterization value in an embodiment of the present invention. The central processing module of the present invention is used to determine whether the network performance of the target SIM chip corresponding to the operator meets the standard based on the network status feature characterization value, including: if the network status feature characterization value is less than or equal to a predetermined network status feature characterization threshold, then it is determined that the network performance does not meet the standard, and a SIM chip switching decision is executed; if the network status feature characterization value is greater than the predetermined network status feature characterization threshold, then it is determined that the network performance meets the standard, and the current SIM chip is maintained.

[0047] In this embodiment, the predetermined network status feature representation threshold is preset. Specifically, the average value of the network status feature representation values ​​over 15 historical collection periods is predetermined. The predetermined network status feature representation threshold is determined based on the average value of the network status feature representation values ​​and is determined within the range [1.84, 2.16]. According to the network performance judgment requirements of the SIM chip for the operator's base station, an optimal value that meets 93% of the upper limit of the measured value is selected. In this embodiment, the predetermined network status feature representation threshold is preferably 2.01.

[0048] In this embodiment of the invention, the network status feature representation value is compared with the network status feature representation threshold set based on the historical collection period by the central processing module. The next judgment procedure is only executed when the network performance does not meet the standard, thereby improving the accuracy of the three-network converged microcard system with heterogeneous chip integration in identifying abnormal operating conditions.

[0049] Please refer to Figure 3, which is a logic diagram for determining whether the reliability of data received by a target SIM chip meets the standard based on the health feature characterization value in an embodiment of the present invention. The central processing module of the present invention is used to determine whether the reliability of data received by a target SIM chip meets the standard based on the health feature characterization value of the optimal SIM chip, including: if the health feature characterization value is less than or equal to a predetermined health feature characterization threshold, then it is determined that the reliability does not meet the standard; if the health feature characterization value is greater than the predetermined health feature characterization threshold, then it is determined that the reliability meets the standard.

[0050] In this embodiment, the predetermined health feature representation threshold is preset. Specifically, the average value of the health feature representation values ​​over 15 historical collection periods is predetermined. The predetermined health feature representation threshold is determined based on the average value of the health feature representation values ​​and is determined within the range [1.74, 2.43]. According to the requirement of accurate determination of the reliability of data transmission of the heterogeneous three-network converged chip high-integration microcard, an optimal value that meets 94% of the upper limit of the measured value is selected. In this embodiment, the predetermined health feature representation threshold is preferably 2.28.

[0051] In this embodiment of the invention, the central processing module compares the health feature values ​​with a predetermined health feature threshold to determine whether the reliability of the data received by the target SIM chip meets the standard. If the reliability does not meet the standard, it means that the data collection distortion is mistakenly judged as the network performance of the operator's base station being substandard, resulting in poor network performance. If the reliability meets the standard, it means that the poor network performance is not caused by data collection distortion, but is determined to be a signal problem of the network itself, thereby improving the network connection stability of the heterogeneous chip integrated microcard.

[0052] Specifically, the self-optimizing decision module is used to analyze the interference coefficient, wherein the interference coefficient is determined based on the difference between a predetermined health feature representation threshold and the health feature representation value of the optimal SIM chip.

[0053] Understandably, the larger the interference coefficient, the more severe the data acquisition distortion, and the lower the data transmission reliability of the optimal SIM chip.

[0054] This invention, through a self-optimizing decision module, uses the difference between a predetermined health characteristic threshold and the actual health characteristic value as an interference coefficient. This transforms the degree of data transmission reliability anomaly into a specific quantifiable value, allowing subsequent classification of anomaly causes to be directly based on the quantified value for analysis. This improves the accuracy of the three-network converged microcard system in determining the degree of data acquisition distortion anomalies.

[0055] Please refer to Figure 4, which is a logical judgment diagram of the reasons for reliability non-compliance based on the interference coefficient and the corresponding optimization strategy in an embodiment of the present invention. The self-optimization decision module of the present invention is used to determine the reasons for reliability non-compliance based on the interference coefficient, including: if the interference coefficient is less than or equal to a predetermined first interference coefficient threshold, it is determined to be a signal fluctuation-dominated anomaly; if the interference coefficient is greater than the predetermined first interference coefficient threshold and less than or equal to a predetermined second interference coefficient threshold, it is determined to be a network congestion-dominated anomaly; if the interference coefficient is greater than the predetermined second interference coefficient threshold, it is determined to be an electromagnetic interference-dominated anomaly.

[0056] In this embodiment, the predetermined first interference coefficient threshold is preset. The average value of the interference coefficients over 20 historical acquisition cycles is predetermined. The predetermined first interference coefficient threshold is determined based on the product of the average value of the interference coefficients and the first tolerance coefficient. The average value of the interference coefficients is determined within the range [0.01, 0.54]. Based on the interference tolerance requirements of the highly integrated triple-play microcard, a preferred value of 0.39 that meets the upper limit of the measured value of 72% is selected. In this embodiment, the first tolerance coefficient is preferably 0.9, and the predetermined first interference coefficient threshold is preferably 0.35.

[0057] In this embodiment, the predetermined second interference coefficient threshold is preset. The average value of the interference coefficients over 20 historical acquisition cycles is predetermined. The predetermined second interference coefficient threshold is determined based on the product of the average value of the interference coefficients and the second tolerance coefficient. The average value of the interference coefficients is determined within the range [0.01, 0.54]. Based on the interference tolerance requirements of the highly integrated triple-play microcard, a preferred value of 0.39 that meets the upper limit of the measured value of 72% is selected. In this embodiment, the second tolerance coefficient is preferably 1.2, and the predetermined second interference coefficient threshold is preferably 0.47.

[0058] It is understandable that signal fluctuation-dominated anomalies refer to unstable network signals, network congestion-dominated anomalies refer to high load on operator base stations, and electromagnetic interference-dominated anomalies refer to data reception distortion of the SIM chip.

[0059] This invention, through the self-optimizing decision module's extreme first interference coefficient threshold and second interference coefficient threshold, classifies the causes of network performance anomalies into three different dominant anomaly types. This provides a clear classification standard for determining the root cause of the unreliability of data received by the SIM chip, thereby improving the accuracy of the three-network converged microcard system in determining the cause of the unreliability of data received by the SIM chip.

[0060] Specifically, the self-optimization decision module is used to match corresponding optimization strategies based on the cause, including: if the cause is a signal fluctuation-dominated anomaly, then determining the weight of the updated network diagnostic model; if the cause is a network congestion-dominated anomaly, then determining the judgment period for updating network performance; if the cause is an electromagnetic interference-dominated anomaly, then determining to reset the SIM chip.

[0061] Understandably, by determining the weights of the updated network diagnostic model, the impact of signal fluctuations on network state determination can be dynamically adapted, reducing the risk of misjudgment caused by signal instability and improving the anti-interference capability and accuracy of network performance determination.

[0062] In this embodiment, the network diagnostic model is used to parse network state feature information into a first state factor and a second state factor, calculate the network state feature characterization value, and determine whether the network performance of the target SIM chip corresponding to the operator meets the standard based on the network state feature characterization value.

[0063] Understandably, by determining the judgment period for updating network performance, the monitoring frequency can be flexibly adjusted according to the degree of network congestion, reducing invalid judgments caused by network congestion and frequent switching of SIM chips, thereby improving the stability of the heterogeneous chip integrated triple-network converged microcard system under high-load network conditions.

[0064] Understandably, by resetting the SIM chip, its operating state can be reset, electromagnetic interference can be eliminated from affecting the SIM chip's communication protocol and data transmission, allowing the SIM chip to return to its initial operating mode and re-establish a stable communication link with the operator's base station.

[0065] This invention, through the synergistic effect of optimized strategies, implements corresponding solutions for three different types of anomalies: signal fluctuation-dominated, network congestion-dominated, and electromagnetic interference-dominated. It improves the impact of data transmission distortion on network signals from three aspects: model judgment adaptation, acquisition cycle adjustment, and SIM chip state reset. This reduces the power consumption of terminal devices caused by frequent SIM chip switching, while ensuring the continuity of network connection, thereby improving the overall network connection stability of the integrated triple-play microcard system.

[0066] Specifically, the self-optimization decision module is used to determine the judgment period for updating network performance, wherein the judgment period is positively correlated with the interference coefficient.

[0067] In this embodiment, the formula for calculating the determination period is as follows: ;in, The adjusted judgment period, The preferred determination period in this embodiment is 1500 milliseconds, which is the period before adjustment. The value is the interference coefficient, determined within the interval [0.35, 0.47], with a preferred value of 0.41. To adjust the coefficient, it is selected based on the network congestion level and the need to adapt to the judgment period. The preferred adjustment coefficient in the implementation example is... It is 0.8.

[0068] This invention optimizes the monitoring cycle length according to the network congestion level, so that the monitoring frequency of the network status of the triple-network converged microcard system is adapted to the actual level of operational interference. This reduces invalid judgment processes and the number of SIM chip switching, lowers the power consumption of terminal devices, and extends the stable operation time of the triple-network converged microcard system, thereby improving the network connection stability and data transmission continuity of the heterogeneous chip integrated triple-network converged microcard system.

[0069] Specifically, the self-optimizing decision module is used to determine the weights for updating the network diagnostic model, wherein the weights are related to the interference coefficient.

[0070] In this embodiment, the formula for calculating the weights of the network diagnostic model is as follows: ;in, The adjusted weights of the first state factor. The adjusted weights of the second state factor, The preferred weight for the first state factor before adjustment is 0.5 in this embodiment. The value is the interference coefficient, determined within the range [0.01, 0.35], with a preferred value of 0.25. The attenuation coefficient is selected based on the judgment requirements of the network diagnostic model. The preferred attenuation coefficient in this embodiment is... It is 1.2.

[0071] This invention establishes a quantitative correlation formula between the interference coefficient and the model weights. By adjusting the weight reduction of the first state factor corresponding to the signal change rate with the attenuation coefficient, and simultaneously matching the weight ratio of the second state factor, the weight allocation of the network diagnostic model can be adapted to the actual interference level of the network signal caused by signal transmission distortion. The larger the interference coefficient, the lower the weight of the first state factor corresponding to the signal change rate. This reduces the impact of misjudgment of the signal change rate caused by abnormal changes in instantaneous signal strength due to signal fluctuations on network performance determination. As a result, the adaptability of the triple-play microcard system to signal fluctuation-dominated anomalies and the reliability of network performance determination are improved.

[0072] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A tri-network converged microcard system based on heterogeneous chip integration, characterized in that, include: The system comprises a hardware layer, a control layer, and a communication interface layer. The hardware layer includes a power supply, an MCU, three SIM chips, a reset terminal, and a clock. The control layer includes a data acquisition module, a data parsing module, a central processing module, and a self-optimizing decision-making module. The data acquisition module is used to acquire network status characteristic information of the corresponding operator for each SIM chip specified by the MCU, and health characteristic information of the data exchanged between each SIM chip and its corresponding operator. The data parsing module is used to analyze network status characteristic values ​​based on the network status characteristic information and analyze health characteristic values ​​based on the health characteristic information. The central processing module is used to determine whether the network performance of the target SIM chip's corresponding operator meets the standard based on the network status characteristic values, and to determine whether the reliability of the data received by the target SIM chip meets the standard based on the health characteristic values. The self-optimization decision module is used to determine the reasons for the reliability not meeting the standard based on the interference coefficient, and to match corresponding optimization strategies based on the reasons. The optimization strategies include determining the weights for updating the network diagnostic model, determining the judgment period for updating network performance, and determining the SIM chip reset. The communication interface layer is used to provide communication capabilities applicable to the standard ISO7816 protocol. The network status characteristic information includes signal strength and signal change rate, and the health characteristic information includes false alarm rate and latency.

2. The tri-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The data parsing module is used to analyze network state feature representation values ​​based on the network state feature information, including: the network state feature representation values ​​are determined based on the sum of a first state factor and a second state factor; wherein, the first state factor is determined based on the ratio of a predetermined signal strength threshold to the signal strength; and the second state factor is determined based on the ratio of a predetermined signal change rate threshold to the signal change rate.

3. The triple-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The data parsing module is used to analyze the health characteristic representation value based on the health characteristic information, including: the health characteristic representation value is determined based on the sum of a first health factor and a second health factor; wherein, the first health factor is determined based on the ratio of a predetermined false alarm rate threshold to the false alarm rate; and the second health factor is determined based on the ratio of a predetermined delay duration threshold to the delay duration.

4. The tri-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The central processing module is used to determine whether the network performance of the target SIM chip's corresponding operator meets the standard based on the network status feature characterization value, including: if the network status feature characterization value is less than or equal to a predetermined network status feature characterization threshold, then the network performance is determined to be non-compliant with the standard; if the network status feature characterization value is greater than the predetermined network status feature characterization threshold, then the network performance is determined to be compliant with the standard.

5. The tri-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The central processing module is used to determine whether the reliability of the data received by the target SIM chip meets the standard based on the health feature characterization value, including: if the health feature characterization value is less than or equal to a predetermined health feature characterization threshold, then the reliability does not meet the standard; if the health feature characterization value is greater than the predetermined health feature characterization threshold, then the reliability meets the standard.

6. The tri-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The self-optimizing decision module is used to analyze the interference coefficient, wherein the interference coefficient is determined based on the difference between a predetermined health feature representation threshold and a health feature representation value.

7. The tri-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The self-optimizing decision module is used to determine the reasons for non-compliance with reliability standards based on the interference coefficient, including: if the interference coefficient is less than or equal to a predetermined first interference coefficient threshold, it is determined to be a signal fluctuation-dominated anomaly; if the interference coefficient is greater than the predetermined first interference coefficient threshold and less than or equal to a predetermined second interference coefficient threshold, it is determined to be a network congestion-dominated anomaly; if the interference coefficient is greater than the predetermined second interference coefficient threshold, it is determined to be an electromagnetic interference-dominated anomaly.

8. The tri-network converged microcard system based on heterogeneous chip integration according to claim 1, characterized in that, The self-optimization decision module is used to match corresponding optimization strategies based on the cause, including: if the cause is a signal fluctuation-dominated anomaly, then determining the weight of the updated network diagnostic model; if the cause is a network congestion-dominated anomaly, then determining the judgment period for updating network performance; if the cause is an electromagnetic interference-dominated anomaly, then determining to reset the SIM chip.

9. The tri-network converged microcard system based on heterogeneous chip integration according to claim 8, characterized in that, The self-optimization decision module is used to determine the judgment period for updating network performance, wherein the judgment period is positively correlated with the interference coefficient.

10. The tri-network converged microcard system based on heterogeneous chip integration according to claim 8, characterized in that, The self-optimizing decision module is used to determine the weights for updating the network diagnostic model, wherein the weights are related to the interference coefficient.

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