A data processing method and device, electronic equipment, storage medium and program product

Abstract

The application relates to a data processing method, device, equipment, medium and product, comprising: generating a risk assessment result based on acquired first network state features, second network state features, target service state features and device scene features; when the risk assessment result meets a first preset condition, adjusting a measurement control strategy for a current service network mode according to the risk assessment result to obtain a target measurement control strategy; generating a first state measurement report based on the target measurement control strategy and reporting the first state measurement report to enable the network side to issue a target measurement object for a candidate fallback network mode; performing network measurement on the candidate fallback network mode based on the target measurement object to obtain a target measurement result; when the target measurement result meets a second preset condition, generating a second state measurement report and reporting the second state measurement report to enable the network side to issue a network mode fallback instruction according to the second state measurement report.

Description

Technical Field

[0001] This application relates to the field of vehicle communication technology, specifically to a data processing method, apparatus, electronic device, storage medium, and program product. Background Technology

[0002] With the development of the Internet of Vehicles (IoV), in-vehicle terminals need to continuously support online services such as navigation and remote control. In environments where multiple network standards coexist, vehicles often face network coverage fluctuations while driving. Existing network standard switching typically relies on a single signal threshold or general strategy, failing to fully consider the IoV service status and vehicle scenario characteristics. This single mechanism causes terminals to remain on the current network with insufficient capacity for extended periods when network quality deteriorates, leading to packet loss, increased latency, and even continuous service interruption. On the other hand, relying solely on relaxing a single threshold to trigger fallback prematurely can easily lead to false fallbacks and frequent ping-pong handovers, failing to achieve a balance between fallback timeliness and handover stability. Therefore, existing technologies urgently need a fallback control scheme that comprehensively evaluates the multi-dimensional characteristics of the network, services, and scenarios to solve the problem of service interruption or frequent handovers caused by a single triggering mechanism, ensuring the continuity of IoV services. Summary of the Invention

[0003] This application aims to provide a data processing method, apparatus, electronic device, storage medium, and program product that comprehensively integrates multi-dimensional features to adaptively adjust measurement strategies, improve the timeliness and accuracy of network standard fallback control, and effectively ensure the continuous and stable operation of vehicle networking services.

[0004] To achieve the above objectives, the technical solution adopted in this application is as follows: A data processing method includes: acquiring, based on the current location of an onboard device, a first network state characteristic of the current service network standard, a second network state characteristic of a candidate fallback network standard, a target service state characteristic, and a device scenario characteristic; generating a risk assessment result based on the first network state characteristic, the second network state characteristic, the target service state characteristic, and the device scenario characteristic, wherein the risk assessment result characterizes the support capability of the current service network standard for continuous services; when the risk assessment result meets a first preset condition, adjusting the measurement control strategy for the current service network standard according to the risk assessment result to obtain a target measurement control strategy; generating a first state measurement report based on the target measurement control strategy and reporting the first state measurement report to enable the network side to issue a target measurement object for the candidate fallback network standard; performing network measurement on the candidate fallback network standard based on the target measurement object to obtain a target measurement result; when the target measurement result meets a second preset condition, generating a second state measurement report and reporting the second state measurement report to enable the network side to issue a network standard fallback command based on the second state measurement report.

[0005] Based on the aforementioned technical means, first network state characteristics, second network state characteristics, target service state characteristics, and device scenario characteristics are acquired. A risk assessment result characterizing the current service network standard's ability to support continuous services is generated. This overcomes the shortcomings of existing technologies that rely solely on a single signal threshold or general strategy and fail to fully integrate vehicle network service states and vehicle scenario characteristics. By introducing service state and scenario characteristics for comprehensive evaluation, the network switching trigger conditions are made more aligned with actual service needs, accurately identifying service interruption risks and preventing misjudgments at the source, thus achieving precise multi-dimensional service continuity assessment. Simultaneously, when the risk assessment result meets the first preset condition, the measurement and control strategy for the current service network standard is proactively adjusted, and a first state measurement report is reported to prompt the network side to issue target measurement objects for candidate fallback network standards. This changes the passive waiting for severely deteriorated wireless signals; when multi-dimensional assessment detects a decline in service support capabilities, measurements can be adjusted accordingly. This behavior, which pre-induces the network side to configure candidate networks, effectively solves the problem of prolonged lingering on the current network with insufficient carrying capacity, leading to packet loss, increased latency, and even continuous service interruptions. It significantly improves the timeliness of the fallback process initiation to prevent service interruptions. In addition, after acquiring the target measurement object, network measurement is performed. Only when the target measurement result meets the second preset condition is a second state measurement report reported, so that the network side can issue a network type fallback command based on the second state measurement report. Compared with directly overstepping authority to force handover, this application adopts a tiered control method from risk assessment triggering strategy adjustment (first condition) to accurate measurement of candidate networks (second condition) and then to the final decision of the network side. In this way, multiple condition constraints and end-network coordination mechanisms effectively filter instantaneous network fluctuations and solve the problem that relying solely on relaxing a single threshold can easily lead to false fallbacks and frequent ping-pong handovers. It achieves an effective balance between fallback timeliness and system-level handover stability, thereby ensuring handover stability.

[0006] Furthermore, the continuity risk value of the target continuous service is calculated; when the continuity risk value is lower than a first threshold, the current service network mode is maintained; when the continuity risk value reaches or exceeds the first threshold but does not reach the second threshold, the vehicle-mounted equipment is controlled to enter a warning state; when the continuity risk value reaches or exceeds the second threshold, the vehicle-mounted equipment is controlled to enter a fallback preparation state.

[0007] Based on the aforementioned technical means, the risk assessment results are determined based on the first network state characteristics, the second network state characteristics, the target service state characteristics, and the equipment scenario characteristics. This ensures the accuracy of the determined risk assessment results, thereby enabling a smooth transition in response to business continuity risks based on the risk assessment results. It also ensures the continuous online capability of the target continuous service in the early stages of network quality degradation and improves the flexibility and reliability of vehicle-mounted equipment in responding to network coverage fluctuations.

[0008] Furthermore, based on the risk assessment results, when the system is in the fallback preparation state, and the reference signal received power of the current service network standard is not higher than a first threshold value, and the system remains in the state not higher than the first threshold value for a first preset duration, it is determined that the risk assessment results meet the first preset condition.

[0009] Based on the aforementioned technical means, a multi-dimensional joint triggering judgment logic is formed by combining the fallback preparation state, the first threshold value of the reference signal received power, and the first preset duration. By introducing the first preset duration, short-term physical layer signal fading is smoothed over time. This multi-dimensional joint triggering judgment logic effectively filters out instantaneous signal fluctuations caused by vehicles traveling at high speeds over obstructions, solving the technical problem of frequent false triggers and invalid signaling overhead caused by instantaneous signal fluctuations in existing technologies. It also reduces the computational resource consumption of onboard equipment and improves the stability of network standard measurement and fallback control.

[0010] Furthermore, based on the target measurement control strategy, a first state measurement event is actively or prematurely triggered, and in response to the active or premature triggering of the first state measurement event, a first state measurement report is generated; the first state measurement report is reported to the network side so that the network side can configure the measurement object of the candidate fallback network standard.

[0011] Based on the aforementioned technical means, by actively triggering or prematurely triggering the first-state measurement event by the onboard equipment, the passive response limitation of configuring a general threshold on the network side is effectively broken. This mechanism enables the onboard equipment to guide the network side to promptly configure the measurement objects for candidate fallback network standards based on its own service continuity risk status, solving the problem of continuous service interruption caused by the lag in measurement object configuration. This end-side collaborative control method significantly improves the timeliness and accuracy of the network standard fallback process, ensuring a continuous and smooth transition of online services in the vehicle network.

[0012] Furthermore, based on the target measurement result, when the current service network type is in a poor state and the neighbor cell quality of the candidate fallback network type is higher than the second threshold value and continues for a second preset duration, it is determined that the target measurement result meets the second preset condition.

[0013] Based on the aforementioned technical means, a joint verification mechanism is constructed using three dimensions: the current service network standard is poor, the quality of neighboring cells in the candidate fallback network standard is higher than a second threshold, and a second preset duration is maintained. This effectively suppresses erroneous fallback behavior caused by a single signal anomaly or instantaneous fluctuation, eliminates unnecessary fallback procedures, and solves the technical problem of frequent handover in existing technologies. Through refined discrimination of target measurement results, more stable and reliable handover control is achieved in areas with fluctuating network coverage, significantly reducing the risk of service interruption and improving the stability of online services for vehicle-mounted equipment.

[0014] Furthermore, when the target measurement result meets the second preset condition, a second state measurement event is triggered, and in response to the triggering of the second state measurement event, a second state measurement report is generated; the second state measurement report is reported to the network side so that the network side can determine whether to perform network standard fallback.

[0015] Based on the aforementioned technical means, by tightly binding the generation of the second-state measurement report with the triggering mechanism of the second-state measurement event, and reporting objective measurement data for adjudication to the network side, the perceptibility of the network side in the decision-making process is significantly improved. This ensures that the network side can make accurate judgments in real time regarding whether to execute network standard fallback based on actual measurement results, resolving the problem of blind switching decisions caused by flaws in the interaction process logic. While retaining the network side's ultimate control, it strengthens the collaborative cooperation between the terminal and the network side in ensuring business continuity, effectively avoiding the invalid execution of the fallback process.

[0016] Furthermore, a minimum dwell time is set, and within the minimum dwell time, the back-switch operation is prohibited. The back-switch operation is used to restore from the candidate fallback network mode to the current service network mode. When the duration for which the restoration conditions are met reaches a third preset duration and the restoration threshold is higher than the fallback threshold, the back-switch operation is executed.

[0017] Based on the above technical means, by setting a minimum dwell time locking mechanism, and in conjunction with the differentiated settings of the third preset duration, recovery threshold and fallback threshold, the initial unstable period after fallback is forcibly filtered out, which solves the problem of frequent switching caused by minor fluctuations in network quality in the existing technology, ensures the smoothness and stability of the switching process, and significantly improves the overall service quality of vehicle-to-everything (V2X) continuous online services.

[0018] Furthermore, the system records the associated information during the current network type fallback control process. This associated information includes the current location, current time, current vehicle speed, serving network quality, candidate network quality, service performance, handover result, and service improvement after fallback. Based on this associated information, a historical scenario record is generated. This historical scenario record is used to adaptively adjust the fallback control strategy parameters of the vehicle-mounted equipment when the equipment subsequently enters a matching area. The fallback control strategy parameters include at least one of the following: risk assessment weight, measurement triggering strategy, confirmation duration, and recovery conditions.

[0019] Based on the aforementioned technical means, by introducing relevant information and constructing historical scene records, the vehicle-mounted equipment acquires the ability to perceive and learn specific environments. By adaptively adjusting risk assessment weights, measurement triggering strategies, confirmation durations, or recovery conditions, the vehicle-mounted equipment can evolve from passive triggering to predictive fallback. This not only significantly improves the fallback control efficiency and stability of the vehicle-mounted equipment in repetitive areas but also optimizes switching parameters by learning from historical performance. This effectively solves the inconsistency in user experience caused by the lack of intelligent learning feedback in existing technologies, achieving continuous optimization and dynamic improvement of business continuity assurance.

[0020] Furthermore, when the vehicle-mounted device subsequently enters a similar location again, the fallback control strategy parameters of the vehicle-mounted device are adjusted according to the historical scene records; based on the adjusted fallback control strategy parameters, a risk assessment result is regenerated, and based on the regenerated risk assessment result, it is determined whether to adjust the measurement and control strategy for the current service network standard.

[0021] Based on the aforementioned technical means, by deeply coupling historical scene recording with an adaptive parameter adjustment mechanism, differentiated management of network communication characteristics under similar locations is achieved. For areas where historical carrying capacity does not meet requirements, triggering conditions are adjusted in advance, effectively improving the timeliness of the fallback process and avoiding service interruptions. For areas with short-term fluctuation characteristics, anti-jitter is achieved by increasing triggering conditions, effectively reducing the burden on the interaction process caused by false triggers. This mechanism enables onboard equipment to dynamically optimize risk assessment and measurement control logic according to changes in the geographical environment, significantly improving the stability and execution efficiency of vehicle-to-everything (V2X) services in complex and ever-changing network environments.

[0022] A data processing apparatus, the apparatus comprising: The acquisition module is used to acquire, based on the current location of the vehicle-mounted device, the first network status characteristics of the current service network type, the second network status characteristics of the candidate fallback network type, the target service status characteristics, and the device scenario characteristics. The first generation module is used to generate a risk assessment result based on the first network state characteristics, the second network state characteristics, the target service state characteristics, and the device scenario characteristics. The risk assessment result characterizes the current service network standard's ability to support continuous services. The adjustment module is used to adjust the measurement and control strategy for the current service network type according to the risk assessment result when the risk assessment result meets the first preset condition, so as to obtain the target measurement and control strategy. The second generation module is used to generate a first state measurement report based on the target measurement control strategy, and to report the first state measurement report so that the network side can issue the target measurement object for the candidate fallback network type. The measurement module is used to perform network measurements on the candidate fallback network type based on the target measurement object to obtain the target measurement result; The third generation module is used to generate a second state measurement report when the target measurement result meets the second preset condition, and to report the second state measurement report so that the network side can issue a network mode fallback command based on the second state measurement report.

[0023] An electronic device, the electronic device comprising: Memory is used to store executable instructions or computer programs. The processor, when executing computer-executable instructions or computer programs stored in the memory, implements the above-described data processing method.

[0024] A computer-readable storage medium storing computer-executable instructions or computer programs for implementing the above-described data processing method when executed by a processor.

[0025] A computer program product includes computer-executable instructions or a computer program, which, when executed by a processor, implement the above-described data processing method.

[0026] The beneficial effects of this application are: This system acquires first network state characteristics, second network state characteristics, target service state characteristics, and device scenario characteristics. Based on these, it generates a risk assessment result characterizing the current service network standard's ability to support continuous services. This overcomes the shortcomings of existing technologies that rely solely on a single signal threshold or general strategy and fail to fully integrate vehicle network service states and vehicle scenario characteristics. By introducing service state and scenario characteristics for comprehensive evaluation, the system makes network switching trigger conditions more aligned with actual service needs, accurately identifies service interruption risks, avoids misjudgments at the source, and achieves precise multi-dimensional service continuity assessment. Simultaneously, when the risk assessment result meets the first preset condition, it proactively adjusts the measurement control strategy for the current service network standard and reports the first state measurement report to prompt the network side to issue target measurement objects for candidate fallback network standards. This changes the passive waiting for extremely deteriorating wireless signals. When multi-dimensional assessment detects a decline in service support capabilities, it can adjust measurement behavior in advance. Inducing the network side to configure candidate networks effectively solves the problem of prolonged lingering on the current network with insufficient carrying capacity, leading to packet loss, increased latency, and even continuous service interruptions. It significantly improves the timeliness of the fallback process initiation to prevent service interruptions. In addition, after acquiring the target measurement object, network measurement is performed. Only when the target measurement result meets the second preset condition is a second state measurement report reported, so that the network side can issue a network type fallback command based on the second state measurement report. Compared with directly overstepping authority to force handover, this application adopts a tiered control method from risk assessment triggering strategy adjustment (first condition) to accurate measurement of candidate networks (second condition) and then to the final decision by the network side. In this way, multiple condition constraints and end-network coordination mechanisms effectively filter instantaneous network fluctuations and solve the problem that relaxing a single threshold can easily lead to false fallbacks and frequent ping-pong handovers. It achieves an effective balance between fallback timeliness and system-level handover stability, thereby ensuring handover stability. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the data processing method provided in an embodiment of this application; Figure 2 This is a schematic diagram of the overall system architecture provided in the embodiments of this application; Figure 3 This is a flowchart illustrating the network fallback control method provided in the embodiments of this application; Figure 4 This is a schematic diagram of the multi-dimensional perception and business continuity risk assessment process provided in the embodiments of this application; Figure 5 This is a schematic diagram of the network standard fallback interaction timing provided in the embodiments of this application for terminal-induced measurement and network-side collaborative adjudication; Figure 6This is a schematic diagram of the anti-false fallback and anti-ping-pong switching control logic provided in the embodiments of this application; Figure 7 This is a schematic diagram of the historical scene learning and strategy update process provided in the embodiments of this application; Figure 8 This is a schematic diagram of the network fallback control device provided in the embodiments of this application; Figure 9 This is a schematic diagram of the structure of the data processing apparatus provided in the embodiments of this application; Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0028] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0029] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0030] In existing technologies, network switching for in-vehicle terminals in 4G / 5G coexistence environments typically relies on a single signal threshold, a general measurement event triggering mechanism, or a general network selection strategy, which is insufficient to fully meet the continuity requirements of connected vehicle services. Especially under conditions of fluctuating network coverage or uneven coverage across scenarios, terminals may remain on the current network standard with reduced actual carrying capacity for extended periods, leading to increased latency, packet loss, stuttering, or even interruptions in services such as online navigation, online audio, voice interaction, remote control, vehicle status reporting, and OTA updates. On the other hand, simply accelerating network standard fallback by moving the trigger threshold forward or reporting measurement events earlier can easily cause erroneous fallback, frequent back-and-forth switching, and service jitter, making it difficult to strike a balance between fallback timeliness and switching stability.

[0031] Therefore, the relevant technologies mainly face the following technical challenges: how to accurately determine the timing of network standard fallback by comprehensively considering network status, service status, and scenario information for the purpose of ensuring the continuity of vehicle-to-everything (V2X) services; how to improve the timeliness of network standard fallback without changing the network side's final switching decision-making power; and how to reduce the risks of false fallback, ping-pong switching, and service interruption, thereby achieving stable and adaptive network standard fallback control of the vehicle terminal in a multi-network standard coexistence environment.

[0032] To address the aforementioned technical issues, this application proposes a multi-dimensional sensing network fallback control method for ensuring the continuity of vehicle-to-everything (V2X) services. This method can be applied to network fallback control systems comprised of in-vehicle terminals, in-vehicle communication modules, in-vehicle infotainment systems, TBOX, network control systems, or combinations thereof.

[0033] The following describes the data processing method provided in the embodiments of this application. In actual implementation, the data processing method provided in the embodiments of this application can be implemented by a terminal or a server alone, or by a terminal and a server working together. The following description uses the example of a server executing the data processing method provided in the embodiments of this application alone. See also... Figure 1 , Figure 1 This is a schematic flowchart of the data processing method provided in the embodiments of this application. Next, we will discuss... Figure 1 The steps shown are explained.

[0034] Step 101: Based on the current location of the vehicle-mounted device, obtain the first network status characteristics of the current service network type, the second network status characteristics of the candidate fallback network type, the target service status characteristics, and the device scenario characteristics.

[0035] Here, the first network state characteristic refers to a set of quantitative indicators that characterize the wireless signal quality of the network (such as a 5G network) currently providing data transmission services to in-vehicle devices and the actual carrying capacity of its communication links.

[0036] The second network state characteristic refers to a set of quantitative indicators that characterize the wireless signal quality, availability, and actual carrying capacity as a backup communication link of candidate fallback networks (such as 4G networks) that are potential switching targets for vehicular equipment.

[0037] Target service status characteristics refer to the set of attribute parameters that characterize the transmission priority, continuity sensitivity level, and tolerance to network interruption of the continuous vehicle-to-everything (V2X) services (such as online navigation, remote control, and online audio) currently running on the in-vehicle equipment.

[0038] Equipment scenario characteristics refer to the set of environmental parameters that characterize the current physical environment and motion state of the vehicle-mounted equipment (such as geographical location, vehicle speed, tunnel or underground space and other regional characteristics) and the historical network coverage performance of the area.

[0039] In actual implementation, the target business status characteristics and equipment scenario characteristics can be obtained in the following ways: by listening to the application layer process interface of the vehicle's operating system to read the current business type (such as online navigation, remote control) and continuity sensitivity level in real time, and by using the vehicle high-precision positioning module, vehicle bus (such as CAN bus) and the local storage of historical weak network tag library to jointly extract and construct the current vehicle speed, location coordinates and regional environment characteristics.

[0040] In practical implementation, obtaining the first and second network state characteristics can be achieved through the following methods: The vehicle-mounted communication module periodically collects underlying radio frequency parameters (such as RSRP, RSRQ, SINR) and statistical indicators of the network layer, such as throughput and packet loss rate. A time-series filtering algorithm is then used to smooth and normalize the original sampled data. For example, the Exponentially Weighted Moving Average (EWMA) algorithm can be used to filter and calculate the instantaneous signal strength, using the formula... (in The smoothed feature value at the current time. This is the current sampled value. (Using a smoothing coefficient) to filter out short-term interference caused by fast fading, thereby obtaining stable and reliable network state characteristics for subsequent evaluation.

[0041] Step 102: Based on the first network state characteristics, the second network state characteristics, the target service state characteristics, and the device scenario characteristics, generate a risk assessment result. The risk assessment result represents the current service network standard's ability to support continuous services.

[0042] Here, the risk assessment result refers to the quantitative value of the confidence level and the probability of interruption of the vehicle terminal in maintaining the continuity of specific vehicle-to-everything (V2X) services (such as online navigation, remote control, online audio, etc.) in the current network environment, as well as the warning level classified accordingly.

[0043] In some embodiments, the process of generating risk assessment results based on first network state characteristics, second network state characteristics, target service state characteristics, and device scenario characteristics may include: calculating the continuity risk value of the target continuous service; maintaining the current service network mode when the continuity risk value is lower than a first threshold; controlling the vehicle-mounted equipment to enter a warning state when the continuity risk value reaches or exceeds the first threshold but does not reach the second threshold; and controlling the vehicle-mounted equipment to enter a fallback preparation state when the continuity risk value reaches or exceeds the second threshold.

[0044] It should be noted that the continuity risk value refers to the quantified probability of a target continuous service experiencing connection interruption or transmission quality failing to meet minimum requirements under the current service network standard. The continuity risk value is used to quantify the support capability of the current service network standard. For example, the continuity risk value is a percentage score calculated using a weighted algorithm; a higher value indicates a greater risk of service interruption.

[0045] Warning status refers to a logical monitoring level set internally by the vehicle-mounted equipment. In warning status, the vehicle-mounted equipment increases the frequency of collecting primary network status characteristics or initiates auxiliary monitoring processes, but does not immediately trigger an actual network switching command.

[0046] Fallback readiness status refers to an advanced risk response level set internally by the onboard equipment. In fallback readiness status, the onboard equipment meets the conditions for adjusting measurement and control strategies, preparing to trigger subsequent network measurement and status measurement report submission processes.

[0047] In practice, after acquiring the first network state characteristics, the second network state characteristics, the target service state characteristics, and the device scenario characteristics, these characteristics are input into a pre-configured risk assessment model. The continuity risk value of the target continuous service is calculated using the weighted scoring logic or rule engine within the risk assessment model, and this value serves as the risk assessment result.

[0048] Step 103: When the risk assessment result meets the first preset condition, adjust the measurement and control strategy for the current service network standard according to the risk assessment result to obtain the target measurement and control strategy.

[0049] Here, the first preset condition refers to a composite triggering criterion where, under high-risk fallback preparation conditions, the physical coverage quality of the current service network standard drops below a critical signal strength threshold, and this poor communication link condition persists for a specific duration. The measurement control strategy refers to the set of parameters and rules governing trigger thresholds, filtering coefficients, reporting cycles, and measurement event types followed by the vehicle-mounted equipment when measuring and reporting wireless cell signal quality in a mobile communication network.

[0050] In actual implementation, when the risk assessment result meets the first preset condition, the process of adjusting the measurement control strategy for the current service network standard according to the risk assessment result to obtain the target measurement control strategy can be as follows: dynamically modifying the triggering conditions of the serving cell measurement event (such as A2 type measurement event) based on the current risk warning level in order to detect risks in advance. Specifically, after receiving the high-risk warning instruction issued by the continuous risk assessment module, the baseband processing chip of the vehicle terminal calls the Radio Resource Management (RRM) protocol stack interface in memory in real time to dynamically overwrite and activate the original wireless measurement configuration file, i.e., the measurement control strategy (such as the threshold parameters, hysteresis parameters, and trigger time of specific measurement events), thereby obtaining the target measurement control strategy.

[0051] For example, a dynamic threshold adaptive adjustment algorithm based on a risk index can be used to compensate upwards the original signal quality trigger threshold. The calculation formula is as follows: ,in The adjusted target measurement trigger threshold, The baseline trigger threshold is set (e.g., the default -105dBm). Here, R is the business sensitivity adjustment coefficient, and R is the currently calculated risk assessment value. This represents the risk threshold value corresponding to the first preset condition. Through this algorithm, the higher the risk, the earlier the trigger threshold is raised, thus generating a more sensitive target measurement and control strategy.

[0052] In some embodiments, when the risk assessment result meets the first preset condition, the measurement and control strategy for the current service network standard is adjusted according to the risk assessment result. Before obtaining the target measurement and control strategy, it is also necessary to determine whether the risk assessment result meets the first preset condition. Specifically, based on the risk assessment result, when the system is in a fallback preparation state, and the reference signal received power of the current service network standard is not higher than a first threshold value, and the system is in a state not higher than the first threshold value for a first preset duration, it is determined that the risk assessment result meets the first preset condition.

[0053] It should be noted that reference signal received power refers to a physical quantity characterizing the strength of the downlink reference signal received by the vehicle-mounted equipment for the current serving network standard. Reference signal received power is used to quantitatively reflect the coverage quality of the current wireless link, such as the physical layer signal strength value of a 5G mobile communication network cell measured by the vehicle-mounted equipment.

[0054] The first threshold value refers to a pre-set critical signal power limit value used to determine whether the physical coverage quality of the current service network standard has deteriorated to the point where a state change procedure needs to be initiated. For example, the first threshold value is configured as -105 dBm.

[0055] The first preset duration refers to the length of a pre-defined time window used for filtering and anti-jitter processing of signal fluctuations over time. For example, the first preset duration is set to a specific number of milliseconds to confirm that the network fading state is persistent rather than a transient interference.

[0056] In actual implementation, the risk assessment results and the reference signal received power of the current serving network standard are obtained. Based on the risk assessment results, it is determined whether the on-board equipment is in a fallback preparation state. If the on-board equipment is in a fallback preparation state, it is determined whether the reference signal received power of the current serving network standard is not higher than a first threshold value. If the on-board equipment is not in a fallback preparation state, the current determination process ends and the status of the current serving network standard continues to be monitored.

[0057] If the onboard equipment is determined to be in fallback preparation mode, and the reference signal received power of the current serving network standard is not higher than a first threshold, an internal timer is started to record the duration of the state at or below the first threshold. If the reference signal received power of the current serving network standard is determined to be higher than the first threshold, the internal timer is reset.

[0058] Determine whether the duration of the state not exceeding the first threshold value has reached the first preset duration. If the duration of the state not exceeding the first threshold value has reached the first preset duration, then the risk assessment result is determined to meet the first preset condition. If the duration of the state not exceeding the first threshold value has not reached the first preset duration, then continue to collect the reference signal received power of the current service network standard for cyclical judgment.

[0059] Step 104: Generate a first state measurement report based on the target measurement control strategy, and report the first state measurement report to enable the network side to issue target measurement objects for the candidate fallback network mode.

[0060] Here, the first-state measurement report refers to the Radio Resource Control (RRC) signaling message sent by the vehicle-mounted terminal to the base station when the signal quality of the current serving network (such as a 5G network) meets specific triggering conditions. This message contains the serving cell measurement results and auxiliary triggering information. The target measurement object refers to the set of parameters (including frequency information, cell physical identifier, measurement bandwidth, and measurement period, etc.) configured by the network side for the vehicle-mounted equipment to determine the specific monitoring and evaluation that the vehicle-mounted equipment needs to perform on the candidate fallback network (such as a 4G LTE network).

[0061] It should be noted that the network side refers to the collective term for all infrastructure and control units in a mobile communication network, excluding on-board equipment (terminals). Specifically, the network side undertakes the following roles and functions: Infrastructure assurance: The network side includes 5G and 4G access nodes (such as 5G base stations) and provides physical wireless coverage; Handover decision-making authority: The network side control unit (such as the core network or base station controller) is the final arbiter of the fallback decision, responsible for deciding whether to issue a network standard fallback command based on the measurement reports reported by the on-board equipment, the real-time load measured by the network side, and the existing network handover strategy; Configuration issuance: The network side is responsible for issuing target measurement objects (such as specific frequency points, physical cell identifiers, etc.) for candidate fallback network standards to the on-board equipment based on the measurement results and service-aware risks of the on-board equipment. In short, the network side is the physical system at the communication network end that provides wireless access, executes handover commands, and maintains global network policy control.

[0062] In some embodiments, the process of generating a first state measurement report based on a target measurement control strategy may involve actively triggering or prematurely triggering a first state measurement event based on the target measurement control strategy, and generating a first state measurement report in response to the active or premature triggering of the first state measurement event. The process of reporting the first state measurement report to enable the network side to issue target measurement objects for candidate fallback network standards may involve reporting the first state measurement report to the network side to enable the network side to configure measurement objects for candidate fallback network standards.

[0063] It should be noted that the first state measurement event refers to the wireless measurement logic configured by the vehicle-mounted equipment to detect the signal coverage performance of the current serving network standard, such as the A2 type event for the attenuation of the serving cell signal quality.

[0064] Active triggering refers to the process by which on-board equipment, upon receiving a risk assessment warning, executes measurement logic directly based on its internal target measurement control strategy without waiting for the network side to issue standard measurement configurations.

[0065] Early triggering refers to the behavior of the vehicle-mounted equipment artificially raising the signal quality judgment threshold of the measurement event, so that the vehicle-mounted equipment can start the measurement process before the signal strength reaches the standard threshold on the network side.

[0066] In practical implementation, when the risk assessment result meets the first preset condition, the on-board equipment invokes the target measurement control strategy and, based on the adjustment parameters in the target measurement control strategy, actively or prematurely triggers the first state measurement event. After the first state measurement event is triggered, the on-board equipment extracts the current signal quality parameters to generate a first state measurement report, and then reports the first state measurement report to the network side. The network side receives the first state measurement report, analyzes the service continuity risk of the on-board equipment under the current serving network standard, and configures the measurement objects for candidate fallback network standards accordingly, subsequently sending the configuration information to the on-board equipment. For example, the on-board terminal continuously collects the radio signal parameters of the current serving cell, makes a decision based on the time hysteresis and adjusted trigger threshold in the target measurement control strategy, and when the conditions are continuously met, constructs a standard RRC measurement report, i.e., the first state measurement report, and sends it through the uplink control channel.

[0067] Step 105: Perform network measurement on the candidate fallback network model based on the target measurement object to obtain the target measurement result.

[0068] Here, as mentioned above, the target measurement object refers to the inter-system or inter-frequency measurement configuration information issued by the network side (such as the serving base station) to the vehicle terminal. It clearly specifies the specific absolute frequency point number (ARFCN), physical cell identifier (PCI) blacklist and whitelist, measurement bandwidth, and measurement period of the candidate fallback network (such as 4G LTE network) that needs to be monitored and evaluated.

[0069] In practical implementation, the process of performing network measurements on candidate fallback network standards based on the target measurement object to obtain the target measurement results specifically includes: searching and capturing the synchronization signal or cell-specific reference signal (CRS) transmitted by the candidate network cell at a specified frequency point through the physical layer of the vehicle terminal; performing correlation calculations on it to complete downlink synchronization; and then measuring the power and quality of the reference signal as the target measurement result. For example, the reference signal received power (RSRP) and reference signal received quality (RSRQ) of the target 4G LTE cell can be extracted. First, its physical layer sampled values ​​are subjected to Layer 1 (L1) filtering, and then the formula is used... (in The updated layer 3 filtering results are shown below. The latest measurement result from layer 1 (where a is the filtering coefficient configured by the network) is processed by layer 3 (L3) smoothing filtering. Finally, the smoothed value is output as the target measurement result, thereby filtering out transient fast fading interference in the channel.

[0070] Step 106: When the target measurement result meets the second preset condition, a second state measurement report is generated and reported to the network side so that the network side can issue a network standard fallback command based on the second state measurement report.

[0071] In some embodiments, before generating a second state measurement report when the target measurement result meets the second preset condition, it is also necessary to determine whether the target measurement result meets the second preset condition. Specifically, based on the target measurement result, when the current service network type is in a poor state and the neighbor cell quality of the candidate fallback network type is higher than the second threshold value and continues for a second preset duration, it is determined that the target measurement result meets the second preset condition.

[0072] It should be noted that a poor condition refers to a situation where the wireless link quality of the current service network standard has degraded to a level that cannot guarantee the stable operation of the target continuous service. For example, the signal strength or throughput measured by the vehicle-mounted equipment has dropped below the preset service guarantee baseline.

[0073] The second threshold is a pre-set signal quality threshold used to measure whether a candidate fallback network neighbor cell meets the handover intervention conditions. Only when the signal quality of a candidate fallback network neighbor cell is higher than the second threshold will the on-board equipment determine it as a reliable handover target.

[0074] The second preset duration refers to a pre-set time verification window used to ensure sufficient continuity of the high-quality state of candidate fallback network neighboring cells. This duration is used to filter short-term fluctuations in candidate cell signals, preventing the vehicle-mounted equipment from switching to a cell that, while currently performing well, is about to rapidly deteriorate.

[0075] In actual implementation, the target measurement results based on the target measurement object are obtained, and the current service network standard status is monitored in real time. It is determined whether the current service network standard is in a poor state. If the current service network standard is in a poor state, the neighbor cell quality of the candidate fallback network standard is further determined to be higher than the second threshold value. If the current service network standard is not in a poor state, the existing connection is maintained and periodic measurements continue, without executing the subsequent status measurement report generation process.

[0076] If the quality of neighbor cells in the candidate fallback network is higher than the second threshold when the current service network standard is in a poor state, a timing logic is started to monitor the stability of the quality of neighbor cells in the candidate fallback network standard; if the quality of neighbor cells is not higher than the second threshold, the fallback condition is not met, and the quality changes of the current service network standard and the candidate fallback network standard continue to be monitored.

[0077] Next, determine whether the duration of the neighboring cell quality being higher than the second threshold has reached the second preset duration. If the second preset duration has been reached, it is determined that the target measurement result meets the second preset condition, and the process of generating a second state measurement report is executed; if the second preset duration has not been reached, monitoring data is continuously recorded and the neighboring cell quality status is waited for to be updated until the condition is met or the monitoring process is restarted due to the condition failing.

[0078] It should be noted that the second state measurement report refers to the radio resource control (RRC) signaling message sent by the vehicle terminal to the serving base station to trigger the inter-system handover determination procedure when the signal quality of the candidate fallback network (such as the 4G network) has reached the stable availability standard and the quality of the current serving network (such as the 5G network) continues to be below the tolerance limit.

[0079] In some embodiments, the process of generating a second state measurement report when the target measurement result meets the second preset condition may be as follows: when the target measurement result meets the second preset condition, a second state measurement event is triggered, and in response to the triggering of the second state measurement event, a second state measurement report is generated; and the process of reporting the second state measurement report may be as follows: the second state measurement report is reported to the network side so that the network side can determine whether to perform network standard fallback.

[0080] It should be noted that the second-state measurement event refers to a measurement triggering procedure specifically defined by the onboard equipment to accurately detect whether the candidate fallback network standard has reached the handover threshold, such as B1 or B2 type inter-system measurement events. The second-state measurement event is used to confirm whether the terminal has the physical link conditions for a safe migration to the target network standard.

[0081] The second-state measurement report refers to the report information sent by the on-board equipment to the network side after completing the second-state measurement event decision, which includes the specific signal performance and measurement results of the candidate fallback network standard. The second-state measurement report is the core data basis for the network side to make the final decision on the fallback logic.

[0082] In actual implementation, a second-state measurement event is triggered when the target measurement result meets the second preset condition. In response to the triggering of the second-state measurement event, the channel state information of the candidate fallback network standard is read from the registers of the underlying communication module, encapsulated to generate a second-state measurement report, and then reported to the network side via the physical uplink control channel. The network side receives the second-state measurement report and compares it with the internally stored handover strategy and neighbor cell load status. If the handover criteria are met, a network standard fallback command is issued; if the fallback conditions are not met, a measurement configuration update command is sent to the on-board equipment.

[0083] For example, the signal quality of the current serving cell and the candidate cell can be compared in real time. For instance, a triggering logic for a B2 type measurement event can be used to continuously evaluate the set of inequality conditions within a set trigger time (TTT). and Whether they are both true; among them and These are the target measurement results after smoothing the service network and the candidate network, respectively. and To prevent the hysteresis parameter of the ping-pong effect, To serve the network degradation threshold, This is the second preset threshold condition for the candidate network to improve. If the above inequality remains true within the specified time, an RRC uplink message containing the candidate cell physical identifier (PCI) and the corresponding measurement results will be automatically encapsulated and sent to the base station, which will then hand it over to the network side for final fallback decision and instruction issuance.

[0084] In some embodiments, after the second state measurement report is reported so that the network side can issue a network type fallback instruction based on the second state measurement report, a minimum dwell time can also be set, and the fallback operation can be prohibited within the minimum dwell time. The fallback operation is used to restore from the candidate fallback network type to the current service network type. When the duration for which the recovery conditions are met reaches a third preset duration and the recovery threshold is higher than the fallback threshold, the fallback operation is performed.

[0085] It should be noted that the minimum dwell time refers to the mandatory dwell time that the on-board equipment must maintain after switching to a candidate fallback network standard. The minimum dwell time is used to filter short-term fluctuations through a mandatory smoothing window, ensuring that the terminal can obtain stable service in the new network environment. The handover operation refers to the operation where the on-board equipment switches back from the currently accessed candidate fallback network standard to the original serving network standard. The recovery threshold is the signal strength threshold at which the on-board equipment determines that the current serving network standard has the capability to resume service. The fallback threshold is the signal strength threshold at which the on-board equipment previously determined that the current serving network standard was inadequate and needed to trigger a fallback to the candidate fallback network standard. The design of having a higher recovery threshold than the fallback threshold is intended to introduce a hysteresis effect and prevent handover oscillations.

[0086] In practice, after successfully executing network fallback and residing in a candidate fallback network, a timer is started and a minimum dwell time is set. During the timer's operation, the residing network is locked, and no fallback operation is allowed until the timer reaches the minimum dwell time. After the timer exceeds the minimum dwell time, the signal coverage quality of the current serving network is continuously monitored, and it is determined whether the duration for which the recovery conditions are met has reached a third preset duration. Simultaneously, it is determined whether the quality of the current serving network is higher than a recovery threshold and whether this recovery threshold is higher than a fallback threshold. If the duration for which the recovery conditions are met reaches the third preset duration, the quality of the current serving network is higher than the recovery threshold, and this recovery threshold is higher than the fallback threshold, then a fallback operation is executed, returning to the current serving network; otherwise, the network continues to reside in the candidate fallback network and monitoring continues.

[0087] In some embodiments, the associated information during the current network type fallback control process can also be recorded. The associated information includes the current location, current time, current vehicle speed, serving network quality, candidate network quality, service performance, handover result, and service improvement after fallback. Based on the associated information, a historical scene record is generated. The historical scene record is used to adaptively adjust the fallback control strategy parameters of the vehicle equipment when the vehicle equipment subsequently enters a matching area. The fallback control strategy parameters include at least one of the following: risk assessment weight, measurement triggering strategy, confirmation duration, and recovery conditions.

[0088] It should be noted that the associated information refers to the set of multi-dimensional state parameters collected by the on-board equipment during the network mode fallback control process, including current location, current time, current vehicle speed, serving network quality, candidate network quality, service performance, handover result, and service improvement after fallback. The associated information is the original data source for constructing historical scenario records.

[0089] Historical scenario records refer to structured data summaries of network fallback performance under specific geographical regions or operational scenarios. These records are used to characterize the execution results and service quality feedback corresponding to different fallback control strategies under specific environmental conditions.

[0090] The fallback control strategy parameters are a set of configuration variables used to instruct the onboard equipment to execute fallback control logic. These parameters include risk assessment weights, measurement triggering strategies, confirmation durations, and recovery conditions. By adaptively adjusting these parameters, the onboard equipment can achieve more precise and predictive handover management.

[0091] Risk assessment weights refer to the numerical impact ratios assigned to different dimensions of data, such as network quality, service sensitivity, and vehicle scenarios, when calculating business continuity risks. By adjusting the risk assessment weights for each dimension, more attention can be paid to specific easily interrupted services or specific weak network indicators based on historical experience, thereby achieving a more accurate risk profile.

[0092] A measurement triggering strategy refers to a set of logical rules that control the initiation of network signal measurement behavior by onboard equipment. It includes trigger event types (such as A2, B1 / B2 events), trigger thresholds, and event triggering conditions. For example, by adaptively adjusting this strategy, measurements can be initiated earlier in specific high-risk areas to shorten the search time for candidate fallback network standards.

[0093] Confirmation duration refers to the verification time window that must be maintained to meet network type fallback conditions (such as signal strength not exceeding a threshold) or switchback operation conditions. This parameter is mainly used for anti-shake processing. By adjusting the confirmation duration, false triggers caused by transient signal fluctuations due to vehicles rapidly passing through obstructions can be effectively filtered out.

[0094] Recovery conditions refer to the set of criteria by which the on-board equipment determines that the current service network standard has recovered from a disadvantaged state and meets the requirements for switching back to the network standard (i.e., performing a back-switch operation). This parameter includes a signal strength recovery threshold (such as the difference requirement between the recovery threshold and the fallback threshold) and a third preset duration for maintaining the state, which aims to ensure the long-term stability of the service link after switching back to the original network.

[0095] In actual implementation, while executing the network-based fallback control process, the system synchronously records the current location, current time, current vehicle speed, serving network quality, candidate network quality, service performance, handover results, and service improvement after fallback as related information. This related information is then aggregated and processed to generate historical scene records, which are stored in a local or cloud database. When the vehicle-mounted device subsequently re-enters a geographical area that matches an existing record in the database, it retrieves the corresponding historical scene record and adaptively adjusts at least one fallback control strategy parameter based on the historical scene record, including risk assessment weight, measurement trigger strategy, confirmation duration, or recovery conditions. If a match is successful, the adjusted fallback control is executed; if no match is found or there is no historical record, the default fallback control parameters are used.

[0096] The default fallback control parameters refer to the basic configuration parameters pre-set in the vehicle equipment system for fallback determination and control when the vehicle equipment has not yet built historical scene records or the current geographical location has not matched any historical scene records. These parameters include: baseline risk assessment weight: used to calculate the business continuity risk value in normal scenarios (e.g., the default priority weight of online navigation, remote control, and other services); baseline measurement triggering strategy: including the general measurement event triggering threshold issued by the network side (e.g., the default A2 event triggering threshold, such as -105dBm) and the general measurement cycle; baseline confirmation duration: the initial time threshold used to determine whether the network status is "continuously poor" or "continuously stable" (e.g., the default duration T1 for determining the service network standard malfunction); and baseline recovery conditions: including the initial signal threshold and recovery duration used to determine whether a switchback operation can be performed (e.g., the default recovery threshold difference and the minimum dwell time T3).

[0097] In practice, when the on-board equipment re-enters a similar location, the fallback control strategy parameters of the on-board equipment can be adjusted based on historical scenario records. Based on the adjusted fallback control strategy parameters, a risk assessment result is regenerated, and based on the regenerated risk assessment result, it is determined whether to adjust the measurement and control strategy for the current service network standard.

[0098] It should be noted that "similar location" refers to a location where the current geographic coordinates of the on-board device coincide with or are within a preset proximity range of the geographic coordinates corresponding to historical scene records stored in the database. Similar locations are used to trigger the system to switch from static control logic to dynamic adaptive control logic. The fallback control strategy parameters are a set of configurable variables used to adjust the risk assessment model and measurement behavior, including risk assessment weights, measurement triggering strategy, confirmation duration, recovery conditions, and threshold values ​​corresponding to the triggering conditions. Short-term fluctuation characteristics characterize the random, instantaneous, and non-continuously deteriorating communication signal quality in a specific geographic area. Here, they are used to guide the on-board device to adopt a more conservative anti-handover strategy to avoid frequent false triggers.

[0099] In actual implementation, upon entering the current geographical location, the local historical scene record database is queried. If the current location matches the region in the historical scene record, the corresponding historical scene features are retrieved, and it is determined whether the historical scene features indicate that the historical carrying capacity of the current service network standard does not meet the requirements, while the historical carrying capacity of the candidate fallback network standard meets the requirements. If the determination result is yes, the trigger condition corresponding to the fallback control strategy parameters is lowered to control the on-board equipment to enter the warning state in advance, and a risk assessment result is regenerated based on the adjusted parameters to determine whether to adjust the measurement control strategy. If the determination result is no, it is further determined whether the historical scene features indicate that the current service network standard meets the short-term fluctuation characteristics. If the historical scene features indicate that the current service network standard meets the short-term fluctuation characteristics, the trigger condition corresponding to the fallback control strategy parameters is increased to suppress invalid handover; if the determination results do not match, the default fallback control strategy parameters are used for risk assessment.

[0100] The phrase "the historical carrying capacity of the current service network standard does not meet the requirements" means that, in past records, when the vehicle-mounted equipment was stationed on the current network standard (such as 5G), its network quality indicators (such as throughput, signal strength, latency, etc.) were insufficient to stably support the current service, resulting in frequent service interruptions, packet loss, or lag. On the other hand, the phrase "the historical carrying capacity of the candidate fallback network standard meets the requirements" means that, in past records, the candidate network standard (such as 4G) can provide stable availability in this specific area, and its channel performance can effectively meet the carrying capacity requirements of the current continuous online service, thus serving as a reliable handover target.

[0101] The following will describe an exemplary application of the embodiments of this application in a real-world application scenario.

[0102] In existing technologies, network switching for in-vehicle terminals in 4G / 5G coexistence environments typically relies on a single signal threshold, a general measurement event triggering mechanism, or a general network selection strategy, which is insufficient to fully meet the continuity requirements of connected vehicle services. Especially under conditions of fluctuating network coverage or uneven coverage across scenarios, terminals may remain on the current network standard with reduced actual carrying capacity for extended periods, leading to increased latency, packet loss, stuttering, or even interruptions in services such as online navigation, online audio, voice interaction, remote control, vehicle status reporting, and OTA updates. On the other hand, simply accelerating network standard fallback by moving the trigger threshold forward or reporting measurement events earlier can easily cause erroneous fallback, frequent back-and-forth switching, and service jitter, making it difficult to strike a balance between fallback timeliness and switching stability.

[0103] Therefore, the technical problems to be solved by this application are: how to accurately determine the timing of network standard fallback by comprehensively considering network status, service status and scenario information for the scenario of ensuring continuity of vehicle network services; how to improve the timeliness of network standard fallback without changing the network side's final switching decision-making power; and how to reduce the risks of false fallback, ping-pong switching and service interruption, so as to achieve stable and adaptive network standard fallback control of vehicle terminals in a multi-network standard coexistence environment.

[0104] To address the aforementioned technical issues, this application proposes a multi-dimensional sensing network-based fallback control method for ensuring service continuity in the Internet of Vehicles (IoV). This method can be applied to network-based fallback control systems comprised of in-vehicle terminals, in-vehicle communication modules, in-vehicle infotainment systems, TBOX (Total Vehicle Module), network control systems, or combinations thereof.

[0105] The technical solution of this application includes the following: The vehicle-mounted terminal acquires in real time network quality information of the current serving network type, network quality information of the candidate fallback network type, current service status information, and vehicle scenario information. Among them, the network quality information includes, but is not limited to, at least one of the following: signal strength, signal quality, interference level, throughput performance, latency, packet loss rate, and retransmission rate of the serving cell and candidate cells; the service status information includes, but is not limited to, at least one of the following: current service type, service continuity sensitivity level, and service interruption risk indicator; and the vehicle scenario information includes, but is not limited to, at least one of the following: vehicle location, driving status, regional characteristics, and historical network performance.

[0106] Based on the acquired network quality information, service status information, and vehicle scenario information, the in-vehicle terminal identifies whether it is currently in a candidate scenario requiring network standard fallback control and constructs a service continuity risk assessment result. The service continuity risk assessment result is used to characterize the current service network standard's support capability for the continuity of connected vehicle services, as well as the degree of adaptability of candidate fallback network standards to the carrying capacity of related services.

[0107] When the business continuity risk assessment results meet preset conditions, the vehicle terminal executes an adaptive measurement control strategy to adjust network measurement and reporting behavior, thereby enabling the network side to more fully perceive the business continuity risks under the current service network standard and the availability of candidate fallback network standards. Preferably, the adaptive measurement control strategy includes at least one of the following: pre-triggering or enhancing service network standard-related measurement events, inducing the network side to configure measurement objects for candidate fallback network standards, and triggering corresponding measurement reports based on candidate network measurement results.

[0108] After receiving the measurement report, the network side decides whether to perform network type fallback based on the existing handover control mechanism, network side measurement configuration, and terminal-reported results. If the conditions are met, a network type fallback command is issued to the vehicle terminal to complete the switch to the target network type. Thus, while maintaining the network side's final decision-making authority, the timeliness and accuracy of network type fallback control are improved through multi-dimensional perception and adaptive measurement reporting on the terminal side.

[0109] Furthermore, to avoid false fallbacks and frequent handovers, this application may also include a fallback stability control mechanism. This mechanism includes, but is not limited to: setting duration limits for unfavorable conditions of the serving network type; setting stability limits for the availability of candidate fallback network types; setting protection conditions for dwell time after fallback completion; and setting recovery thresholds higher than the fallback trigger conditions for conditions to restore to the original network type. Through these mechanisms, false triggers caused by short-term fluctuations can be suppressed, and the probability of ping-pong handovers between different network types can be reduced.

[0110] Furthermore, this application may also include a scenario learning and strategy update mechanism. The vehicle-mounted terminal can record the location characteristics, time characteristics, network performance, service experience changes, and fallback results during the historical network type fallback process, and form network performance characteristics for specific regions or scenarios based on historical data. When the terminal subsequently enters the same or similar scenario again, it can adjust the measurement and fallback control strategies in advance based on the historical scenario characteristics, thereby achieving predictive network type fallback control.

[0111] Based on the same concept, this application also proposes a multi-dimensional sensing network-based fallback control system for ensuring the continuity of vehicle-to-everything (V2X) services. The system includes: a network status acquisition module, a service status identification module, a scene information acquisition module, a continuity risk assessment module, a measurement strategy adjustment module, a fallback control execution module, a stability control module, and a scene learning module; each module can be implemented using hardware, software, or a combination of both.

[0112] Based on the same concept, this application also protects an in-vehicle terminal, a vehicle, an electronic device, and a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned network fallback control method.

[0113] Based on this, the present application has at least the following beneficial effects: This application does not rely solely on a single signal threshold or fixed measurement event triggering condition to perform network fallback. Instead, it combines network quality, service status, and vehicle scenario information for multi-dimensional comprehensive perception, making the triggering criteria for network fallback more aligned with the needs of ensuring the continuity of vehicle-to-everything (V2X) services, thereby improving the accuracy of fallback determination.

[0114] Without altering the network-side final decision-making mechanism, this application enhances the network side's ability to perceive the actual network status of terminals and service continuity risks through terminal-side adaptive measurement and reporting strategies. This approach is compatible with existing mobile communication network architectures and improves the timeliness and feasibility of network standard fallback.

[0115] This application introduces a business continuity risk assessment mechanism, enabling network fallback control to move beyond simply judging the strength of wireless signals and instead make decisions based on the actual carrying requirements of continuous online services such as navigation, online audio, voice interaction, remote control, and status reporting. This reduces the probability of service lag, latency anomalies, and session interruptions.

[0116] This application effectively suppresses false fallback and ping-pong handover issues by setting up mechanisms such as candidate network stability judgment, fallback protection, and differentiated control of recovery threshold, thereby improving the smoothness and stability of network type handover process.

[0117] This application further introduces a scenario learning mechanism, which can optimize subsequent network standard fallback strategies based on historical weak network scenarios and historical fallback results, enabling vehicle terminals to have predictive fallback capabilities for repetitive scenarios, thereby further improving the continuous online capability of vehicle networking services and the overall user experience.

[0118] In practical implementation, this application proposes a multi-dimensional sensing network standard fallback control method and system for ensuring the continuity of vehicle-to-everything (V2X) services. It is applicable to vehicle terminals in environments where 5G and 4G mobile communication networks coexist. It comprehensively assesses the actual carrying capacity of the current network standard, the availability of candidate network standards, and the continuity risks of current V2X services. Under the premise of maintaining the network side's final handover decision-making power, it improves the timeliness, stability, and service friendliness of network standard fallback through terminal-side adaptive measurement and reporting strategies.

[0119] For the overall system architecture, see Figure 2 , Figure 2 This is a schematic diagram of the overall system architecture provided in the embodiments of this application, based on Figure 2 The data processing system provided in this application embodiment includes at least a vehicle 100, an in-vehicle terminal 110, an in-vehicle communication module 120, a fifth-generation mobile communication network access node 210, a fourth-generation mobile communication network access node 220, a network-side control unit 230, and a service unit 240.

[0120] The vehicle-mounted terminal 110 can be a TBOX, a vehicle-mounted host, a vehicle-mounted network system controller, or a combination thereof. The vehicle-mounted communication module 120 is used to complete network registration, residency, measurement, measurement reporting, and network handover execution. The network-side control unit 230 is used to determine whether to execute fallback control from the fifth-generation mobile communication network to the fourth-generation mobile communication network based on the measurement results reported by the terminal, network configuration policies, and handover rules.

[0121] The vehicle-mounted terminal 110 may include a network status acquisition module 130, a service status identification module 140, a scene information acquisition module 150, a continuity risk assessment module 160, a measurement strategy adjustment module 170, a fallback control execution module 180, a stability control module 190, and a scene learning module 200.

[0122] The network status acquisition module 130 is used to collect network quality information of the current service network standard and candidate network standards; the service status identification module 140 is used to identify the current vehicle network service type and service continuity sensitivity level; the scene information acquisition module 150 is used to acquire vehicle location, driving status, regional characteristics and historical scene tags; the continuity risk assessment module 160 is used to calculate the current service continuity risk based on multi-dimensional information; the measurement strategy adjustment module 170 is used to adjust the terminal measurement reporting behavior based on the risk assessment results; the fallback control execution module 180 is used to execute network standard fallback after the network side issues the handover command; the stability control module 190 is used to prevent false fallback and ping-pong handover; and the scene learning module 200 is used to record the scene characteristics and service effects before and after fallback and update the subsequent control strategy.

[0123] In practical implementation, the network status acquisition module 130 collects at least the signal strength, signal quality, interference level, network latency, packet loss rate, and service retransmission rate of the current fifth-generation mobile communication network serving cell, as well as the signal strength, signal quality, and availability indicators of candidate cells in the fourth-generation mobile communication network. The service status identification module 140 identifies services including at least online navigation, online audio playback, voice interaction, remote control, vehicle status reporting, and OTA-related services.

[0124] In some embodiments, see Figure 3 , Figure 3 This is a flowchart illustrating the network standard fallback control method provided in the embodiments of this application, based on... Figure 3 The network fallback control method provided in this application embodiment may include the following steps.

[0125] S101: Collect multi-dimensional status information The vehicle-mounted terminal 110 collects network quality information of the current service network type, network quality information of the candidate fallback network type, current service status information, and vehicle scenario information in real time.

[0126] The preferred network standard for the current service is a fifth-generation mobile communication network, and the preferred candidate fallback network standard is a fourth-generation mobile communication network. The network quality information includes, but is not limited to, RSRP, RSRQ, SINR, throughput, latency, packet loss rate, and retransmission rate of the serving cell or candidate cell; the service status information includes the current service type, service priority, service continuity sensitivity, and whether a real-time session or persistent connection exists; the vehicle scenario information includes location, vehicle speed, heading, parking / driving status, underground space label, tunnel label, and historical weak network label.

[0127] S102: Identify candidate fallback scenarios Based on the data obtained in step S101, the continuity risk assessment module 160 identifies whether the current scenario belongs to a candidate scenario that requires network standard fallback control.

[0128] In some embodiments, candidate scenarios are not determined solely by a single signal threshold, but are determined by a combination of the following factors: the signal quality of the current serving network standard is deteriorating; there are available cells in the candidate fallback network standard; the current service is a continuity-sensitive service; there is a history of poor network performance in the current area; and / or the current network quality fluctuations have already affected the service performance.

[0129] In other words, this application is not limited to the traditional single-factor mechanism of "triggering fallback when the current network signal is below a certain threshold", but introduces comprehensive perception of the network side, service side and scenario side to more accurately identify the timing of fallback.

[0130] S103: Business continuity risk in computing See Figure 4 , Figure 4 This is a schematic diagram of the multi-dimensional perception and business continuity risk assessment process provided in the embodiments of this application, based on Figure 4 The continuity risk assessment module 160 inputs network quality information, service status information, and scenario information into the risk assessment model and outputs the current service continuity risk value or risk level.

[0131] In some embodiments, risk outcomes can be calculated using weighted scoring, rule engines, threshold combination judgments, or lightweight machine learning models. For example, the risk of current service interruption can be assessed based on the degree of service quality degradation of the current fifth-generation mobile communication network, the degree of abnormal service latency, the capacity of candidate fourth-generation mobile communication networks, and the frequency of historical weak network occurrences in the region.

[0132] When the risk value is below the first threshold, the existing network mode is maintained; when the risk value reaches or exceeds the first threshold but does not reach the second threshold, an early warning state is entered; when the risk value reaches or exceeds the second threshold, a fallback preparation state is entered.

[0133] S104: Perform adaptive measurement strategy adjustment When the business continuity risk reaches the fallback preparation state, the measurement strategy adjustment module 170 adjusts the measurement and reporting behavior of the terminal to enhance the network side's ability to perceive the current network carrying risks.

[0134] In some embodiments, if the current terminal is camped on a 5G mobile communication network, when the terminal detects that the quality of the current 5G mobile communication network has degraded to a preset condition, it actively triggers or preemptively triggers an A2 type measurement event and reports it to the network side, thereby inducing the network side to configure a 4G mobile communication network measurement object. This mechanism is consistent with the existing engineering verification scheme's link of "when the signal of the currently camped 5G and serving 5G cell is lower than or equal to a preset value, the terminal triggers an A2 event and reports it to the network side, thereby guiding the network side to configure a 4G measurement object," but this invention further places it within a multi-dimensional perception and continuous risk assessment framework, rather than treating it merely as a fixed threshold action.

[0135] In some embodiments, the preset condition may include: the RSRP of the currently serving fifth-generation mobile communication network is not higher than a first threshold value, and this state continues for a first preset duration. The first threshold value may be -105dBm, or it may be configured according to vehicle model, region, service type, or operator network policy. Here, -105dBm is only a preferred example and is not intended to limit the scope of protection of this invention.

[0136] S105: Perform candidate network verification After receiving the A2 event measurement report from the terminal, the network side can configure the fourth-generation mobile communication network measurement target for the terminal. Subsequently, the terminal performs measurements on the candidate fourth-generation mobile communication network neighboring cells and reports the corresponding measurement report when preset conditions are met.

[0137] In some embodiments, if the terminal detects that the current 5G mobile communication network is still in a poor state, and the quality of the candidate 4G mobile communication network neighboring cells is higher than a second threshold value and remains higher than a second preset duration, then a B1 or B2 type measurement event is triggered and reported to the network side, so that the network side can determine whether to perform network type fallback. As an example, the second threshold value can be -100dBm. This link is consistent with the logic in existing engineering materials that "poor NR service quality triggers A2, the network side configures LTE measurement objects, and then triggers B1 / B2 when NR is poor and LTE neighboring cells are good, and then the network side issues a handover command."

[0138] S106: Network side executes handover decision and terminal fallback execution See Figure 5 , Figure 5 This is a schematic diagram of the network standard fallback interaction timing provided in the embodiments of this application for terminal-induced measurement and network-side collaborative adjudication, based on... Figure 5 After receiving the measurement report from the terminal, the network-side control unit makes a handover decision based on the existing network handover strategy, neighbor cell configuration, and target network resource conditions. When the handover conditions are met, the network side issues a handover command to the terminal to fall back from the fifth-generation mobile communication network to the fourth-generation mobile communication network. The terminal then executes the corresponding handover process through the fallback control execution module 180 to complete the network type fallback.

[0139] This application does not alter the network's final decision-making authority during this process, nor does it require the terminal to directly override authority and force a handover. Instead, it improves the network's perception accuracy of service continuity risks and candidate network availability through multi-dimensional perception and adaptive measurement reporting strategies on the terminal side, thereby achieving more timely and smoother fallback control. This aligns with the design philosophy of existing verification schemes, where "the terminal is only responsible for providing measurement reports, while the final handover decision and execution command are always controlled by the network side."

[0140] S107: Implement anti-misoperation and anti-ping-pong controls. like Figure 6 As shown, Figure 6 This is a schematic diagram of the anti-false fallback and anti-ping-pong switching control logic provided in the embodiments of this application, based on Figure 6 To avoid false pullbacks caused by instantaneous fluctuations, the stability control module 190 sets constraints before and after the pullback is executed.

[0141] In some embodiments, before fallback, a duration determination is set for the unfavorable state of the current service network type, and a stability determination is set for the availability state of the candidate fallback network type. Fallback is only allowed to be triggered when the unfavorable state of the current network type lasts for a first duration and the candidate fallback network type is stably available for a second duration.

[0142] Furthermore, a minimum dwell time can be set after the fallback is completed. Within the minimum dwell time, even if the 5G network recovers briefly, the handover will not be performed immediately. Only when the recovery conditions are continuously met and the recovery threshold is higher than the fallback threshold will recovery from the 4G network to the 5G network be allowed. This method prevents the terminal from frequently switching between the two network standards.

[0143] In addition, the fallback strategy can be dynamically adjusted according to the type of business. For continuous and sensitive businesses such as online navigation, continuous media playback, voice interaction, and vehicle remote control links, more proactive risk identification and stricter anti-shake control can be adopted; for less sensitive businesses, the trigger threshold can be appropriately increased or the confirmation time can be extended.

[0144] S108: Execution Scenario Learning and Policy Update like Figure 7 As shown, Figure 7 This is a schematic diagram of the historical scene learning and strategy update process provided in the embodiments of this application, based on Figure 7 The scenario learning module can record the location, time, vehicle speed, service network quality, candidate network quality, service performance, handover results, and service improvement after the fallback process during this network standard fallback control, and form a historical scenario record.

[0145] When the terminal subsequently enters the same or similar area again, the scenario learning module 200 can adjust the risk assessment weights, measurement trigger strategies, confirmation duration, and recovery conditions based on historical records. For example, for areas where historically there has been frequent undercapacity of the 5G mobile communication network while the 4G mobile communication network has been relatively well-capacitated, the terminal can enter an early warning state in advance; for areas with historical short-term fluctuations but not suitable for immediate reversion, the terminal can appropriately increase the trigger conditions.

[0146] Through the above methods, this application enables network fallback control to evolve from "passive threshold triggering" to an adaptive control mechanism that is "learnable, predictable, and optimizable".

[0147] In some embodiments, such as Figure 8 As shown, Figure 8 This is a schematic diagram of the network fallback control device provided in the embodiments of this application, based on Figure 8 and the above Figure 2 The network fallback control device 700 provided in this application embodiment can be integrated into the vehicle terminal 110, or partially deployed in the vehicle communication module 120, the vehicle main control unit, or other control units. The device includes: The network status acquisition module 130 is used to acquire quality information of the current service network and candidate networks; The business status identification module 140 is used to identify the current business type and continuity sensitivity level; The scene information acquisition module 150 is used to acquire vehicle location, driving status and historical scene tags; The continuity risk assessment module 160 is used to generate business continuity risk values ​​or risk levels; The measurement strategy adjustment module 170 is used to adjust the measurement event triggering strategy when a preset risk condition is met. The fallback control execution module 180 is used to receive network-side switching commands and execute network standard fallback. Stability control module 190 is used to perform anti-false fallback and anti-ping-pong control; The scenario learning module 200 is used to update subsequent strategies based on historical control results.

[0148] The device can be implemented by a processor executing program code in memory, or by a dedicated hardware circuit, a programmable logic device, or a combination of hardware and software.

[0149] As an example, the following describes the application process of this application by taking a vehicle entering a region with fluctuating local coverage.

[0150] While the vehicle 100 is in motion, the onboard terminal 110 initially resides on the 5G mobile communication network, currently simultaneously supporting online audio playback and remote service connections. As the vehicle enters a specific area, the network status acquisition module 130 detects a continuous decline in the 5G mobile communication network service quality, the service status identification module 140 detects an increased risk of audio playback stuttering, and the scene information acquisition module 150 identifies historical poor network performance in the current area. After comprehensive assessment, the continuity risk assessment module 160 marks the current state as a high-risk state.

[0151] Subsequently, the measurement strategy adjustment module 170 triggers enhanced reporting of A2-type measurement events. Upon receiving this, the network side configures the fourth-generation mobile communication network measurement object. The terminal further measures that the quality of the neighboring cells in the fourth-generation mobile communication network meets the conditions, and then reports a B1 or B2-type measurement report. After the network side completes the decision, it issues a handover command, and the terminal falls back to the fourth-generation mobile communication network. After falling back, online audio playback returns to a stable state, and the remote service connection remains continuous. Afterward, the stability control module 190 sets a minimum dwell time to avoid switching back to the fifth-generation mobile communication network within a short period. The scenario learning module 200 records this process and issues an early warning when the vehicle enters the same area again.

[0152] The above process is consistent with the actual optimized link shown in the existing engineering materials. That is, the terminal triggers the A2 event earlier when the quality of the fifth-generation mobile communication network degrades, induces the network side to configure the fourth-generation mobile communication network measurement object, and then the network side issues a handover command based on the B1 / B2 results, so that the terminal can complete the fallback from 5G to 4G more smoothly.

[0153] It should be noted that the risk assessment model in this application can be parameterized according to different vehicle models, different operators, and different regional network construction conditions; business continuity risks can be handled in layers according to business level, and different triggering and recovery strategies are adopted for security-related services, control services, real-time voice services, and ordinary data services; at the same time, the scenario learning results can be saved locally or reported to the cloud under the condition of meeting security requirements, so as to form a regional weak network experience optimization strategy; in addition, this application is not only applicable to the fallback from the fifth-generation mobile communication network to the fourth-generation mobile communication network, but can also be extended to the fallback or handover control in other multi-network standard coexistence environments.

[0154] Based on this, this application constructs a network standard fallback control mechanism that combines multi-dimensional perception, risk assessment, terminal-induced measurement, network-side adjudication, stability control, and scenario learning. This mechanism can significantly improve the continuity assurance capability of vehicle-to-everything (V2X) services without changing the final adjudication authority of the existing network side, while also taking into account fallback timeliness, switching stability, and engineering feasibility.

[0155] Based on the same inventive concept as the foregoing embodiments, this application provides a data processing apparatus. Figure 9 This is a schematic diagram of the structure of the data processing apparatus provided in the embodiments of this application, such as... Figure 9 As shown, the data processing device 900 may include: an acquisition module 901, a first generation module 902, an adjustment module 903, a second generation module 904, a measurement module 905, and a third generation module 906.

[0156] In some embodiments, the first generation module 902 is further configured to calculate the continuity risk value of the target continuous service; when the continuity risk value is lower than a first threshold, maintain the current service network mode; when the continuity risk value reaches or exceeds the first threshold but does not reach a second threshold, control the vehicle-mounted equipment to enter a warning state; when the continuity risk value reaches or exceeds the second threshold, control the vehicle-mounted equipment to enter a fallback preparation state.

[0157] In some embodiments, the first generation module 902 is further configured to determine that the risk assessment result satisfies the first preset condition based on the risk assessment result when the system is in the fallback preparation state, and the reference signal received power of the current service network standard is not higher than a first threshold value, and the system is in the state not higher than the first threshold value for a first preset duration.

[0158] In some embodiments, the second generation module 904 is further configured to actively trigger or prematurely trigger a first state measurement event based on the target measurement control strategy, and in response to actively triggering or prematurely triggering the first state measurement event, generate a first state measurement report; and report the first state measurement report to the network side so that the network side configures the measurement object of the candidate fallback network standard.

[0159] In some embodiments, the apparatus further includes a determining module, which is configured to determine, based on the target measurement result, that the target measurement result satisfies a second preset condition when the current service network type is in a poor state and the neighbor cell quality of the candidate fallback network type is higher than a second threshold value and continues for a second preset duration.

[0160] In some embodiments, the third generation module 906 is further configured to trigger a second state measurement event when the target measurement result meets a second preset condition, and in response to triggering the second state measurement event, generate a second state measurement report; and report the second state measurement report to the network side so that the network side can determine whether to perform network standard fallback.

[0161] In some embodiments, the determining module is further configured to set a minimum dwell time and prohibit the execution of a back-switch operation within the minimum dwell time. The back-switch operation is used to restore from the candidate fallback network mode to the current service network mode. When the duration for which the restoration conditions are met reaches a third preset duration and the restoration threshold is higher than the fallback threshold, the back-switch operation is executed.

[0162] In some embodiments, the determining module is further configured to record associated information during the current network type fallback control process, the associated information including current location, current time, current vehicle speed, serving network quality, candidate network quality, service performance, handover result, and service improvement after fallback; and generate historical scene records based on the associated information; wherein, the historical scene records are used to adaptively adjust the fallback control strategy parameters of the vehicle equipment when the vehicle equipment subsequently enters a matching area; the fallback control strategy parameters include at least one of the following: risk assessment weight, measurement triggering strategy, confirmation duration, and recovery conditions.

[0163] In some embodiments, the determining module is further configured to adjust the fallback control strategy parameters of the vehicle-mounted device according to the historical scene record when the vehicle-mounted device subsequently enters a similar location again; and regenerate the risk assessment result based on the adjusted fallback control strategy parameters, so as to determine whether to adjust the measurement control strategy for the current service network type based on the regenerated risk assessment result.

[0164] This application also provides an electronic device. Figure 10 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application, such as... Figure 10 As shown, this application provides an electronic device 1000, including: The processor 1001 and the storage medium 1002 storing the executable instructions of the processor 1001 are provided. The storage medium 1002 performs operations in dependence on the processor 1001 via a communication bus 1003. When the instructions are executed by the processor 1001, the data processing method described in one or more of the above embodiments is executed.

[0165] It should be noted that in practical applications, the various components in electronic device 1000 are coupled together via communication bus 1003. It can be understood that communication bus 1003 is used to achieve communication between these components. In addition to a data bus, communication bus 1003 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 10 The general labeled all buses as communication bus 1003.

[0166] This application provides a computer storage medium storing executable instructions. When the executable instructions are executed by one or more processors, the processors perform the data processing method as described in one or more of the above embodiments.

[0167] This application provides a computer program product, including a computer program or instructions, which, when executed by a processor, implement the steps of one or more of the data processing methods described in the embodiments.

[0168] The computer-readable storage medium can be a magnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM), etc.

[0169] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0170] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0171] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0172] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0173] The above embodiments are merely preferred embodiments provided to fully illustrate this application, and the scope of protection of this application is not limited thereto. Equivalent substitutions or modifications made by those skilled in the art based on this application are all within the scope of protection of this application.

Claims

1. A data processing method, characterized in that, The method includes: Based on the current location of the vehicle-mounted device, obtain the first network status characteristics of the current service network type, the second network status characteristics of the candidate fallback network type, the target service status characteristics, and the device scenario characteristics. Based on the first network state characteristics, the second network state characteristics, the target service state characteristics, and the device scenario characteristics, a risk assessment result is generated, and the risk assessment result characterizes the current service network standard's ability to support continuous services. When the risk assessment result meets the first preset condition, the measurement and control strategy for the current service network type is adjusted according to the risk assessment result to obtain the target measurement and control strategy. A first state measurement report is generated based on the target measurement control strategy, and the first state measurement report is reported to enable the network side to issue target measurement objects for the candidate fallback network type. Based on the target measurement object, network measurement is performed on the candidate fallback network pattern to obtain the target measurement result; When the target measurement result meets the second preset condition, a second state measurement report is generated and reported to the network side so that the network side can issue a network mode fallback command based on the second state measurement report.

2. The method according to claim 1, characterized in that, The risk assessment result is generated based on the first network state characteristics, the second network state characteristics, the target service state characteristics, and the device scenario characteristics, including: Calculate the continuity risk value of the target continuous business; When the continuity risk value is lower than the first threshold, the current service network mode is maintained; When the continuous risk value reaches or exceeds the first threshold but does not reach the second threshold, the vehicle-mounted equipment is controlled to enter a warning state. When the continuity risk value reaches or exceeds the second threshold, the vehicle-mounted equipment is controlled to enter the fallback preparation state.

3. The method according to claim 2, characterized in that, Before adjusting the measurement and control strategy for the current service network type based on the risk assessment result to obtain the target measurement and control strategy when the risk assessment result meets the first preset condition, the method further includes: Based on the risk assessment results, when the system is in the fallback preparation state, and the reference signal received power of the current service network standard is not higher than a first threshold value, and the system remains in the state not higher than the first threshold value for a first preset duration, it is determined that the risk assessment results meet the first preset condition.

4. The method according to any one of claims 1 to 3, characterized in that, The generation of the first state measurement report based on the target measurement control strategy includes: Based on the target measurement control strategy, a first state measurement event is actively or prematurely triggered, and in response to the active or premature triggering of the first state measurement event, a first state measurement report is generated. The step of reporting the first state measurement report to enable the network side to issue target measurement objects for the candidate fallback network type includes: The first state measurement report is reported to the network side so that the network side can configure the measurement object of the candidate fallback network type.

5. The method according to any one of claims 1 to 4, characterized in that, Before generating a second state measurement report when the target measurement result meets the second preset condition, the method further includes: Based on the target measurement results, when the current service network type is in a poor state and the neighbor cell quality of the candidate fallback network type is higher than the second threshold value and continues for a second preset duration, it is determined that the target measurement results meet the second preset condition.

6. The method according to claim 5, characterized in that, When the target measurement result meets the second preset condition, a second state measurement report is generated, including: When the target measurement result meets the second preset condition, a second state measurement event is triggered, and in response to the triggering of the second state measurement event, a second state measurement report is generated; The step of reporting the second state measurement report includes: The second state measurement report is reported to the network side so that the network side can determine whether to perform network mode fallback.

7. The method according to any one of claims 1 to 6, characterized in that, After reporting the second state measurement report so that the network side can issue a network type fallback command based on the second state measurement report, the method further includes: Set a minimum dwell time, and prohibit the execution of a fallback operation within the minimum dwell time. The fallback operation is used to restore from the candidate fallback network mode to the current service network mode. When the duration for which the recovery conditions are met reaches the third preset duration and the recovery threshold is higher than the fallback threshold, the back-cut operation is executed.

8. The method according to any one of claims 1 to 7, characterized in that, The method further includes: Record the associated information during the current network type fallback control process. The associated information includes the current location, current time, current vehicle speed, serving network quality, candidate network quality, service performance, handover result, and service improvement after fallback. Based on the aforementioned association information, a historical scene record is generated; The historical scene record is used to adaptively adjust the fallback control strategy parameters of the vehicle-mounted device when the device subsequently enters a matching area; the fallback control strategy parameters include at least one of the following: risk assessment weight, measurement trigger strategy, confirmation duration, and recovery conditions.

9. The method according to claim 8, characterized in that, The method further includes: When the vehicle-mounted device subsequently enters a similar location again, the fallback control strategy parameters of the vehicle-mounted device are adjusted based on the historical scene records. Based on the adjusted fallback control strategy parameters, a risk assessment result is regenerated. Based on the regenerated risk assessment result, it is determined whether to adjust the measurement control strategy for the current service network type.

10. A data processing apparatus, characterized in that, The device includes: The acquisition module is used to acquire, based on the current location of the vehicle-mounted device, the first network status characteristics of the current service network type, the second network status characteristics of the candidate fallback network type, the target service status characteristics, and the device scenario characteristics. The first generation module is used to generate a risk assessment result based on the first network state characteristics, the second network state characteristics, the target service state characteristics, and the device scenario characteristics. The risk assessment result characterizes the current service network standard's ability to support continuous services. The adjustment module is used to adjust the measurement and control strategy for the current service network type according to the risk assessment result when the risk assessment result meets the first preset condition, so as to obtain the target measurement and control strategy. The second generation module is used to generate a first state measurement report based on the target measurement control strategy, and to report the first state measurement report so that the network side can issue the target measurement object for the candidate fallback network type. The measurement module is used to perform network measurements on the candidate fallback network type based on the target measurement object to obtain the target measurement result; The third generation module is used to generate a second state measurement report when the target measurement result meets the second preset condition, and to report the second state measurement report so that the network side can issue a network mode fallback command based on the second state measurement report.

11. An electronic device, characterized in that, include: Memory is used to store executable instructions or computer programs. A processor, when executing computer-executable instructions or computer programs stored in the memory, implements the data processing method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, It stores computer-executable instructions or computer programs for inducing a processor to execute, thereby implementing the data processing method according to any one of claims 1 to 9.

13. A computer program product comprising computer-executable instructions or a computer program, characterized in that, When the computer-executable instructions or computer program are executed by a processor, the data processing method according to any one of claims 1 to 9 is implemented.

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