A data transmission method and system of wireless networking-based data transceiver

Abstract

The present application relates to the technical field of wireless communication, and discloses a wireless networking-based data transmission method and system for a data transmission receiver, wherein the method can accurately determine the internal meaning and urgency of a wireless data packet by receiving the wireless data packet, extracting the payload content, deeply analyzing the payload content, and combining the source and type of the wireless data packet with vehicle operating state information. On this basis, the wireless data packet is attached with corresponding internal meaning and urgency identifiers, and the communication channel conditions and vehicle operating state information are comprehensively considered to dynamically determine the processing priority of the wireless data packet. According to the processing priority, the system can intelligently adjust the allocation of communication resources, and in particular, when the identifiers indicate that the wireless data packet has the highest system safety decisiveness, the transmission of regular data streams can be decisively reduced or stopped, the processor resources can be concentrated for processing the wireless data packet, and the use of the data buffer area can be optimized.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and more specifically, to a data transmission method and system for a data receiver based on wireless networking. Background Technology

[0002] In modern industrial settings, especially in complex environments like automated mining areas, the operational safety of heavy-duty unmanned vehicles is paramount. The data receivers on these vehicles need to simultaneously process information from multiple external devices, including continuous monitoring data and sudden emergency commands. However, due to the unique nature of the operating environment—such as the susceptibility of signals to obstruction, reflection, and electromagnetic interference—and the inherent limitations of existing communication systems in processing different types of data, seemingly insignificant but actually crucial system safety commands often fail to be delivered in a timely manner, thus creating serious safety hazards.

[0003] In existing technologies, data transmission receivers typically employ resource allocation and access control methods based on fixed priorities or quality of service (QoS) levels. For example, in mining operations, real-time safety monitoring video streams, due to their high bandwidth requirements and continuity, are often assigned high priority to ensure continuous transmission. However, emergency stop commands from low-priority devices (such as handheld engineering terminals), which are extremely small in size but sudden and crucial to system safety, are often difficult to process in a timely manner under existing mechanisms. When network resources are strained or channel conditions deteriorate, data transmission receivers may proactively reduce the QoS for other "non-critical" terminals, or even refuse their access requests, in order to ensure the transmission of high-priority video streams, resulting in delays or drops of emergency commands.

[0004] This rigid processing mechanism becomes particularly problematic under the dual pressures of harsh channel conditions (such as multipath interference and electromagnetic noise in narrow channels) and high network load. In order to ensure a continuous and "important" task, the system may miss a crucial "critical" instruction. It fails to quickly and accurately identify and dynamically provide the highest access privileges and the most reliable transmission channels for any terminal's instruction, which carries the most critical system security implications. This results in the obstruction of such crucial instructions, potentially leading to serious security incidents.

[0005] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0006] This invention provides a data transmission method and system for a data transmission receiver based on wireless networking. It aims to solve the problem that in complex industrial scenarios, data transmission receivers are unable to quickly and accurately identify and dynamically provide the highest access privileges and the most reliable transmission channels for any terminal-issued commands that carry the highest system security determinants, thereby causing the transmission of such decisive commands to be blocked and leading to serious security incidents.

[0007] The technical solution of this application is as follows: Firstly, this application discloses a data transmission method for a data receiver based on a wireless network, specifically including: Receive wireless data packets and extract the payload content of the wireless data packets; The payload content is analyzed, and the source, type, and vehicle operating status information of the wireless data packets are combined to determine the intrinsic meaning and urgency of the wireless data packets. Based on the judgment results, the wireless data packets are labeled with their inherent meaning and urgency level; Acquire information on communication channel status and vehicle operating status; The processing priority of wireless data packets is determined based on the identification, communication channel status, and vehicle operating status information. Based on processing priority, the allocation of communication resources is adjusted, including: reducing or stopping the transmission of regular data streams when an identifier indicates that a wireless data packet has the highest system security determinant, concentrating processor resources for processing wireless data packets, and optimizing the use of data buffers.

[0008] Through this technical solution, this application can dynamically identify the inherent meaning and urgency of wireless data packets, and intelligently adjust the allocation of communication resources in combination with communication channel conditions and vehicle operating status information, so as to ensure that data packets with the highest system security determination can be given priority processing and reliable transmission, thereby effectively solving the problem of obstructed transmission of emergency commands in the prior art and significantly improving system security.

[0009] Furthermore, in the above method, the payload content is analyzed, and the inherent meaning and urgency of the wireless data packets are determined by combining the source and type of the wireless data packets with vehicle operating status information. Specifically, this includes: The system acquires local temperature and heat flow data from a miniature temperature sensor and heat flow sensor array deployed under the truck chassis, and matches the truck's current location with a local micro-environment map of the mining area stored in the onboard controller to determine whether the truck is in a known local extreme micro-environment. The received structural stress sensor data is correlated with local microenvironment sensor data at the same timestamp and geographical location; Based on the risk assessment of the truck's macro-operating scenario and the risk assessment of the local micro-environment, the scenario risk weight is calculated; Adjust the urgency of wireless data packets based on the contextual risk weights.

[0010] Through this technical solution, this application can more precisely assess the urgency of wireless data packets. By combining the local micro-environment of the truck, structural stress data, and macro-level operational risks, it can achieve early identification and warning of potential hazards, thereby improving the accuracy and real-time nature of urgency assessment.

[0011] Based on this, and according to the judgment results, the wireless data packets are assigned identifiers indicating their inherent meaning and urgency, specifically including: Inside the data processing unit of the data transmission receiver, a semantic tag library is maintained, which includes tag type, urgency level, semantic rules and risk weight; Based on the payload content of the wireless data packet, the source of the wireless data packet, the type of the wireless data packet, and the vehicle operating status information, search for matching tag types in the semantic tag library; When wireless data packets involve multiple risk factors, a combined label containing multiple dimensions is generated according to the composite risk assessment rules defined in the semantic label library; The overall urgency of the wireless data packet is calculated based on the risk weights of each dimension of the combined label. Continuously monitor the changing trends of the mining area's working environment and historical safety incident data; When a new risk pattern is detected or a complex risk that the existing tagging system cannot accurately cover, the semantic tagging library is dynamically updated.

[0012] Through this technical solution, this application can establish and dynamically update a semantic tag library to achieve standardized and multi-dimensional identification of the intrinsic meaning and urgency of wireless data packets. In particular, when facing multiple risk factors and new risk patterns, it can generate more targeted combined tags, thereby improving the system's ability to identify and respond to complex risk situations.

[0013] Furthermore, when wireless data packets involve multiple risk factors, a combined label containing multiple dimensions is generated based on the composite risk assessment rules defined in the semantic label library, specifically including: Identify multiple risk factors involved in wireless data packets; Analyze the correlations among multiple risk factors; Determine whether a combination of multiple risk factors constitutes a novel risk pattern; Based on the new risk patterns, select or combine tag dimensions from the semantic tag library; The urgency of the label dimensions is adjusted based on the real-time values ​​and trends of multiple risk factors and vehicle operating status information. Generate combined labels that include the adjusted dimensions.

[0014] Through this technical solution, this application can deeply analyze the correlation of multiple risk factors and dynamically adjust the urgency of the label dimensions, thereby generating more accurate and adaptive combined labels, effectively responding to complex and ever-changing risk situations, and avoiding misjudgments or omissions caused by a single risk assessment.

[0015] In some preferred implementation schemes, continuous monitoring of trends in the mining area's working environment and historical safety incident data is conducted, specifically including: Receive real-time environmental data streams from truck-mounted sensors and externally deployed mining area environmental monitoring equipment; Based on the truck's current operating area, historical operating data, and real-time environmental data, establish a baseline of normal environmental parameters for the current area; Analyze the correlation between different environmental parameters in real-time environmental data, and evaluate the rate of change of each environmental parameter in real time; Based on the baseline of normal environmental parameters, the results of correlation analysis, and the results of rate of change assessment, identify abnormal patterns or rapid development patterns. Compare abnormal or rapid development patterns with historical security incident data to determine whether there are patterns that match the precursors of high-risk security incidents. When a pattern is identified that matches the precursors to a high-risk security event, an early warning signal is generated.

[0016] Through this technical solution, this application can establish environmental parameter baselines, analyze data correlation and change rates, and compare them with historical safety event data to achieve early and accurate identification of abnormal patterns in the mining area's operating environment and precursors to high-risk safety events, thereby providing key information for timely intervention measures.

[0017] As a technological improvement, when a pattern consistent with the precursors of a high-risk security event is identified, a warning signal is generated, specifically including: Identify the types, urgency, and potential impact of precursors to high-risk security incidents; Based on the type, urgency, and potential impact of high-risk security incident precursors, determine the propagation priority of early warning signals and the list of receiving terminals; Choose the communication method based on the propagation priority; The warning signal is sent to the truck's onboard controller, remote monitoring center, and relevant personnel's handheld terminals in the receiving terminal list via communication.

[0018] Through this technical solution, this application can intelligently determine the propagation priority and receiving terminal of the early warning signal based on the characteristics of the precursors of high-risk security events, and select an appropriate communication method to ensure that the early warning information can be delivered to all relevant parties in a timely and accurate manner, thereby minimizing the risk of accidents.

[0019] Based on the above, and according to the type, urgency, and potential impact of high-risk security event precursors, a list of receiving terminals for early warning signals is determined, specifically including: Real-time acquisition of the truck's current operating area's geographic location information; Based on the geographical location information of the truck's current operating area, geological data, terrain data, and historical risk event records of the truck's current operating area are obtained from the vehicle-mounted geographic information system; The system periodically receives location and status data from the handheld terminals of all registered workers in the mining area via a wireless communication module. Based on the geographical location information, geological data, terrain data, historical risk event records, types of precursors to high-risk safety events, urgency level, and potential impact range of the truck's current operating area, the real-time risk level of each sub-area within the truck's current operating area is dynamically assessed. Based on the real-time risk level, identify high-risk sub-areas within the truck's current operating area; Spatial matching is performed between high-risk sub-areas and the location data of workers' handheld terminals; Based on the spatial matching results, the handheld terminals of workers currently located in high-risk sub-areas are selected; Add the selected workers' handheld terminals to the list of terminals receiving the early warning signals.

[0020] Through this technical solution, this application can dynamically assess the risk level of the work area by combining multi-source geographic information and real-time personnel location data, and accurately screen the handheld terminals of workers in high-risk areas, thereby ensuring that the early warning information can be sent to the personnel who need to receive it most, and improving the pertinence and effectiveness of the early warning.

[0021] To improve the plan, the propagation priority of early warning signals is determined based on the type, urgency, and potential impact of precursors to high-risk security incidents. Specifically, this includes: Identify the urgency level of early warning signs of high-risk security incidents; When the urgency level of a high-risk security event precursor reaches the highest level, assess the resource usage of regular data streams in the communication channel; Based on resource usage, a channel preemption request is sent to other communication nodes in the network to release transmission bandwidth; The central processor resources are used to process the warning signals, and an independent buffer is allocated for the warning signals; Detect the channel quality of the main communication link; When the channel quality of the main communication link is lower than a preset threshold or a portion of the main communication link fails, the backup communication link is activated. Early warning signals are transmitted via a backup communication link.

[0022] Through this technical solution, this application can dynamically adjust the allocation of communication resources and even preempt the channel according to the urgency of the warning signal. Combined with the primary and backup link switching mechanism, it can ensure that the warning signal of the highest urgency level can be transmitted in the fastest and most reliable way, thereby ensuring smooth information flow at critical moments.

[0023] As a further improvement, when the channel quality of the primary communication link is lower than a preset threshold or when part of the primary communication link fails, a backup communication link is activated, specifically including: When the channel quality of the main communication link is lower than a preset threshold, the frequency characteristics and spatial distribution of channel interference are identified. By combining the real-time location information provided by the truck's onboard controller, it can be determined whether the channel interference is localized or widespread. Determine the duration of channel interference; When the channel interference is determined to be localized and short-term, the activation of the backup communication link is delayed, and an adaptive recovery is attempted by adjusting the transmission parameters of the main communication link. When the channel interference is determined to be localized or persistent, a backup communication link that does not overlap with the interference area or has stronger anti-interference capabilities is activated. When the channel interference is determined to be wide-area interference, all available backup communication links are immediately activated and multipath transmission is performed.

[0024] Through this technical solution, this application can intelligently select the activation strategy of the backup communication link according to the type, range and duration of channel interference, avoid unnecessary link switching, and activate a more interference-resistant link or perform multi-path transmission when necessary, thereby significantly improving the robustness and reliability of the communication system.

[0025] Secondly, this application also discloses a data transmission system for a data receiver based on wireless networking, specifically including: The input terminal is used to receive wireless data packets and extract the payload content of the wireless data packets. The judgment end is used to analyze the payload content and, in conjunction with the source and type of the wireless data packets and vehicle operating status information, determine the inherent meaning and urgency of the wireless data packets. The determining end is used to attach identifiers with inherent meaning and urgency to wireless data packets based on the judgment result; acquire communication channel status and vehicle operating status information; and determine the processing priority of wireless data packets based on the identifiers, communication channel status, and vehicle operating status information. The adjustment unit is used to adjust the allocation of communication resources according to processing priority. The adjustment includes: reducing or stopping the transmission of regular data streams when the identifier indicates that the wireless data packet has the highest system security determinant, concentrating processor resources to process the wireless data packet, and optimizing the use of the data buffer.

[0026] Through this technical solution, this application can provide a hardware or software-implemented system that can effectively execute the above-mentioned data transmission method. Through modular design, it can achieve intelligent identification, priority determination, and dynamic resource adjustment of wireless data packets, thereby ensuring the timely and reliable transmission of critical data at the system level. Beneficial effects

[0027] This application discloses a data transmission method and system for a data receiver based on wireless networking. By receiving wireless data packets and extracting their payload content, the system performs in-depth analysis of the payload content and, in conjunction with the source, type, and vehicle operating status information of the wireless data packets, accurately determines the intrinsic meaning and urgency of the wireless data packets. Based on this, corresponding intrinsic meaning and urgency indicators are attached to the wireless data packets, and the processing priority of the wireless data packets is dynamically determined by comprehensively considering the communication channel conditions and vehicle operating status information. According to this processing priority, the system can intelligently adjust the allocation of communication resources. Especially when an indicator indicates that a wireless data packet has the highest system security determinant, the system can decisively reduce or stop the transmission of regular data streams, concentrate processor resources to process the wireless data packet, and optimize the use of the data buffer.

[0028] Through the above technical solution, this application effectively solves the problem in existing technologies where rigid priority mechanisms in data transmission receivers hinder the transmission of urgent commands crucial to system security in complex and harsh environments. This application enables semantic-level understanding and context awareness of data packets, thus overcoming the limitations of traditional methods based on fixed priorities or quality of service levels. This method ensures that even under conditions of limited network resources or deteriorating channel conditions, commands crucial to system security still receive the highest access privileges and the most reliable transmission channels, avoiding the risk of delays or drops of critical commands due to resource consumption by non-critical data streams. Therefore, this application significantly improves the operational safety of heavy-duty unmanned vehicles in complex environments such as automated mining areas, effectively preventing potential safety accidents, and possesses significant practical value and technological advancement. Attached Figure Description

[0029] Figure 1This is a flowchart illustrating a data transmission method for a data receiver based on wireless networking, provided in an embodiment of the present invention. Figure 2 This is a flowchart of a method for determining the intrinsic meaning and urgency of wireless data packets according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a data transmission system based on wireless networking provided in an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Reference Figure 1 , Figure 1 This is a flowchart illustrating a data transmission method for a data receiver based on a wireless network, provided in an embodiment of the present invention, including: S11, Receive wireless data packets and extract the payload content of the wireless data packets; S12, Analyze the payload content, and combine the source, type and vehicle operating status information of the wireless data packet to determine the intrinsic meaning and urgency of the wireless data packet; S13, Based on the judgment result, attach the identifier of the inherent meaning and urgency to the wireless data packet; S14, Obtain communication channel status and vehicle operating status information; S15, determine the processing priority of the wireless data packet based on the identifier, the communication channel status, and the vehicle operating status information; S16, according to the processing priority, adjust the allocation of communication resources, the adjustment including: when the identifier indicates that the wireless data packet has the highest system security determinism, reduce or stop the transmission of regular data streams, concentrate processor resources to process the wireless data packet, and optimize the use of data buffer.

[0032] This application comprehensively analyzes the payload content, source, type, and vehicle operating status information of wireless data packets to dynamically determine their inherent meaning and urgency, and adds identifiers accordingly. Furthermore, by combining communication channel conditions and vehicle operating status information, it intelligently determines the processing priority of data packets and adjusts communication resource allocation based on the highest system security priority. This effectively solves the problem of obstructed emergency command transmission in existing technologies, significantly improving the reliability and security of data transmission in complex industrial scenarios. The method provided in this application is primarily applied to data transmission receivers based on wireless networking, typically deployed on heavy-duty autonomous vehicles, such as mining trucks. A wireless data packet refers to a digital information unit transmitted via a wireless communication link, and its payload content is the actual valid information carried within the data packet. Vehicle operating status information may include vehicle speed, position, attitude, load, engine speed, braking status, etc., which are crucial for assessing the urgency of the data packet and its impact on system safety. Communication channel conditions refer to the quality of the wireless communication link, such as signal strength, signal-to-noise ratio, bit error rate, and bandwidth utilization. Processing priority is a key parameter guiding how the data transmission receiver allocates computational and transmission resources, and the allocation of communication resources involves processor time, memory, and transmission bandwidth.

[0033] In one embodiment, the data receiver first receives wireless data packets. These packets can originate from various sensors and controllers on the vehicle, or from a remote monitoring center or a handheld terminal used by operators. Upon receiving the data packets, the data processing module inside the data receiver extracts the payload content. For example, a wireless data packet might contain a sensor reading, such as temperature, pressure, or vibration data, or a control command, such as "emergency stop" or "decelerate."

[0034] Subsequently, the extracted payload content is analyzed. This analysis can involve semantic parsing of the payload content, such as identifying keywords or data patterns. Simultaneously, by combining the source of the wireless data packet (e.g., whether it comes from chassis sensors or the driver's cab controller), its type (e.g., whether it's routine telemetry data or control commands), and vehicle operating status information (e.g., whether the vehicle is traveling at high speed or under heavy load), the inherent meaning and urgency of the wireless data packet are comprehensively determined. For example, a data packet from a brake system sensor indicating "severe brake pad wear" would be far more urgent when the vehicle is traveling at high speed than when it is stationary.

[0035] Based on the above judgment results, an identifier indicating the inherent meaning and urgency level is appended to the wireless data packet. This identifier can be a metadata field containing multiple subfields, such as "Data Type: Security Warning", "Urgency: High", and "System Security Decision: Yes". This identifier can be appended by inserting specific encoding into the data packet header or modifying existing protocol fields.

[0036] In terms of acquiring communication channel conditions, the data receiver can periodically monitor parameters such as signal strength, signal-to-noise ratio, and interference level of the wireless channel. Simultaneously, vehicle operating status information can be obtained in real time from the onboard controller or sensor network. This information collectively provides the basis for subsequently determining the priority of data packet processing.

[0037] Based on the aforementioned identifiers, communication channel conditions, and vehicle operating status information, the data receiver determines the processing priority of wireless data packets. For example, a data packet identified as "highest system security determinant" should be given the highest priority even if the channel conditions are poor. A regular telemetry data packet, which can be transmitted normally under good channel conditions, may be temporarily downgraded during channel congestion.

[0038] Finally, communication resources are allocated according to the determined processing priority. When an identifier explicitly indicates that a wireless data packet has the highest system security determinant, the data receiver will take extreme measures to ensure its transmission. Specifically, the transmission of regular data streams can be reduced or stopped, such as pausing non-urgent video streams or log data uploads to free up transmission bandwidth. Simultaneously, processor resources are concentrated on processing the wireless data packet, such as allocating a dedicated CPU time slice and optimizing the use of the data buffer to ensure that the packet can be processed and transmitted with minimal latency and maximum reliability. For example, a separate, high-priority buffer queue can be allocated to this packet to prevent it from being blocked by other packets.

[0039] The method provided in this application receives wireless data packets and extracts their payload content. The payload content is analyzed, and the inherent meaning and urgency of the wireless data packets are determined by combining the source and type of the wireless data packets with vehicle operating status information. Based on this determination, an identifier indicating the inherent meaning and urgency of the wireless data packets is attached. Simultaneously, communication channel conditions and vehicle operating status information are acquired. Based on the aforementioned identifiers, communication channel conditions, and vehicle operating status information, the processing priority of the wireless data packets is determined. Finally, according to the processing priority, the allocation of communication resources is adjusted. When an identifier indicates that a wireless data packet has the highest system security determinant, the transmission of regular data streams is reduced or stopped, processor resources are concentrated on processing the wireless data packets, and the use of the data buffer is optimized.

[0040] The core innovation of this method lies in its deep understanding and dynamic response to the inherent meaning of data packets and their decisive impact on system security. Unlike the rigid processing mechanisms in existing technologies based on fixed priorities or quality of service levels, this application can intelligently identify urgent instructions that, although small in size, have a decisive impact on system security. By comprehensively analyzing the payload content, source, type, and vehicle operating status information of data packets, combined with real-time communication channel conditions, this application can assign a dynamic and accurate priority to each data packet. Especially when a data packet with the highest system security decisiveness is detected, the system will decisively reduce or stop the transmission of regular data streams, concentrate all available resources to process the critical data packet, and optimize the use of the data buffer, thereby ensuring that it is transmitted and executed at the fastest speed and with the highest reliability. This mechanism effectively avoids the risk of urgent instructions being delayed or dropped in traditional systems, significantly improving the safety of heavy-duty unmanned vehicles operating in complex industrial scenarios, especially in automated mining areas.

[0041] In some embodiments described above, the payload content of wireless data packets is analyzed, and the source, type, and vehicle operating status information of the wireless data packets are combined to determine the inherent meaning and urgency of the wireless data packets. However, in practical applications, especially in complex operating environments, relying solely on this macroscopic information may not be sufficient to comprehensively and accurately capture potential local risks or subtle environmental changes. This could lead to inaccurate or untimely assessments of the urgency of the data packets, affecting the system's response efficiency to emergencies.

[0042] In this regard, refer to Figure 2 , Figure 2 This is a flowchart of a method for determining the intrinsic meaning and urgency of wireless data packets according to an embodiment of the present invention. S12 includes: S121, acquire local temperature and heat flow data collected by the array of miniature temperature sensors and heat flow sensors deployed under the truck chassis, match the current position of the truck with the local micro-environment map of the mining area stored in the vehicle controller, and determine whether the truck is in a known local extreme micro-environment. S122, associate the received structural stress sensor data with local microenvironment sensor data at the same timestamp and the same geographical location; S123, Calculate the scenario risk weight based on the risk assessment of the truck's macro-operation scenario and the risk assessment of the local micro-environment; S124, adjust the urgency of the wireless data packet according to the situational risk weight.

[0043] Specifically, acquiring local temperature and heat flow data from arrays of miniature temperature and heat flow sensors deployed beneath the truck chassis involves densely deploying these miniature sensors at key locations on the truck chassis to monitor temperature distribution and heat flow changes in that area in real time. These sensors provide high-resolution local environmental data, such as identifying abnormally high-temperature points near the engine compartment or braking system. Simultaneously, the truck's current location information is matched against a pre-stored local microenvironment map of the mining area in the onboard controller. This map details known high-risk areas within the mining area, such as areas prone to collapses, gas leaks, or geothermal anomalies. This matching process determines whether the truck is currently in or about to enter these extreme local microenvironments, aiming to provide precise geographical and environmental context for subsequent risk assessments.

[0044] This involves correlating received structural stress sensor data with local microenvironment sensor data from the same time point and geographical location. This can be understood as integrating and analyzing real-time data from truck structural stress sensors, such as frame deformation and suspension pressure, with local temperature, heat flux, and other microenvironmental data collected at the same time and geographical location. The purpose of this correlation is to reveal potential causal relationships between environmental factors and structural health; for example, whether localized high temperatures lead to abnormal stress in specific structural components, thereby providing a more comprehensive assessment of the truck's operational risks.

[0045] In practical applications, the calculation of situational risk weights, based on both macro-level risk assessments of the truck's overall operational scenario and local micro-environmental risk assessments, involves comprehensively considering macro-level risk factors such as the truck's overall operational tasks, routes, and load conditions, as well as local extreme environmental risks obtained through the analysis of the aforementioned sensor data and micro-environment maps. Macro-level risk assessments can be based on historical data, work plans, and weather forecasts, while local micro-environmental risk assessments focus on real-time, localized hazardous conditions. By weighting these two types of risks, a comprehensive situational risk weight can be obtained, the purpose of which is to quantify the overall degree of danger in the current operational scenario.

[0046] Furthermore, adjusting the urgency of radio data packets based on contextual risk weights means using the calculated contextual risk weights as a dynamic factor to correct the initial urgency of the radio data packets. For example, if a routine vehicle status report data packet is generated in a context with high macroscopic and local risks, its urgency will be increased to ensure it receives a higher processing priority. The aim is to make the urgency of data packets more accurately reflect their actual importance in the current complex operating environment, thereby optimizing the allocation of communication resources and system response.

[0047] This application addresses the shortcomings of traditional methods in determining the urgency of wireless data packets by introducing multi-source, multi-scale sensor data and a refined risk assessment mechanism. Through this technical solution, the application significantly improves the accuracy and refinement of the data transmission method for determining the urgency of wireless data packets. Specifically, by introducing a miniature temperature and heat flow sensor array located beneath the truck chassis, along with a local micro-environment map of the mining area, the system can perceive and identify extreme local micro-environments in real time, thereby capturing potential local risks that are difficult to detect using traditional methods. Simultaneously, the correlation analysis between structural stress data and local micro-environment data allows the system to gain a deeper understanding of the impact of environmental factors on vehicle structural health, improving the sensitivity to potential mechanical failure warnings. Furthermore, the comprehensive assessment of macro-level operational scenarios and local micro-environment risks, and the calculation of scenario risk weights accordingly, allows the urgency of data packets to be dynamically adjusted based on the complexity and danger of the actual operational environment, ensuring that critical safety data receives timely and prioritized processing. This multi-dimensional, context-aware urgency assessment mechanism effectively avoids improper allocation of communication resources due to insufficient information or judgment bias, greatly enhancing the safety, reliability, and response efficiency of mining operations.

[0048] In some embodiments described above in this application, it is proposed to attach identifiers with inherent meaning and urgency to wireless data packets based on the judgment results. However, in actual mining operation environments, the situations reflected by data packets are often complex and changeable, potentially involving multiple risk factors, and new risk patterns may emerge at any time. Traditional, static identifier methods may struggle to fully and accurately capture these complexities and dynamics, thus affecting the accuracy and timeliness of judging the inherent meaning and urgency of data packets.

[0049] In this regard, this application further proposes the steps of attaching an identifier of inherent meaning and urgency to the wireless data packet based on the judgment result, specifically including: In the data processing unit inside the data transmission receiver, a semantic tag library is maintained, which includes tag type, urgency level, semantic rules and risk weight; Based on the payload content of the wireless data packet, the source of the wireless data packet, the type of the wireless data packet, and the vehicle operating status information, a matching tag type is searched in the semantic tag library; When the wireless data packet involves multiple risk factors, a combined label containing multiple dimensions is generated according to the composite risk assessment rules defined in the semantic label library; The overall urgency of the wireless data packet is calculated based on the risk weights of each dimension of the combined label. Continuously monitor the changing trends of the mining area's working environment and historical safety incident data; When a new risk pattern or a complex risk that the existing tagging system cannot accurately cover is detected, the semantic tagging library is dynamically updated.

[0050] Specifically, the semantic tag library is maintained within the data processing unit of the data transmission receiver. It is designed to include various tag types, corresponding urgency levels, semantic rules for judgment and matching, and risk-related weights. This tag library serves as the core knowledge base for semantic processing of received wireless data packets. Tag types can be classifications based on data content, source, or data type, such as "equipment fault warning," "environmental anomaly report," and "operation instructions." Urgency levels quantify the urgency of the events represented by different tags. Semantic rules define how to extract features from the payload content, source, type, and vehicle operating status information of the data packets and match them to the corresponding tags. Risk weights are used to quantitatively assess different risk dimensions when multiple risk factors coexist.

[0051] Upon receiving a wireless data packet, its payload content, source, type, and vehicle operating status information are used to perform a match search in the aforementioned semantic tag library to determine the tag type that best matches the characteristics of the data packet. For example, if the data packet originates from a specific sensor and its payload content indicates high temperature, it may match the "high temperature warning" tag.

[0052] Furthermore, when a wireless data packet reflects a situation that involves multiple interrelated or independent risk factors, such as simultaneous equipment overheating and abnormal structural stress, a combined label containing multiple dimensions will be generated according to predefined composite risk assessment rules in the semantic label library. This combined label can more comprehensively describe complex situations and avoid the one-sidedness of a single label.

[0053] Therefore, by calculating the risk weights of each dimension in the combined label, the overall urgency of the wireless data packet can be obtained. This overall urgency can more accurately reflect the overall importance and urgency of the data packet in the current context, providing a more refined basis for determining subsequent processing priorities.

[0054] Furthermore, to ensure the adaptability and forward-looking nature of the labeling system, this application continuously monitors the changing trends of the mining area's operating environment and historical safety incident data. For example, by analyzing sensor data, environmental reports, and accident records, potential risk evolution patterns can be identified. When new risk patterns or complex risks that cannot be accurately covered by the existing labeling system are detected, such as a combination of sensor data never seen before indicating a new geological hazard risk, the semantic label library is dynamically updated to incorporate new label types, semantic rules, or adjust the weights of existing labels, thereby enabling the system to promptly identify and respond to emerging threats.

[0055] This application's solution effectively addresses the limitations of traditional static tagging methods in complex mining environments by introducing and maintaining a dynamic semantic tag library. Specifically, when a wireless data packet is received, its payload content, source, type, and vehicle operating status information are matched against semantic rules in the semantic tag library to accurately determine its inherent meaning and urgency. This semantic rule-based matching mechanism enables the system to extract deeper business meaning from raw data.

[0056] Especially when facing multiple risk factors, by generating a combined label containing multiple dimensions and calculating the overall urgency based on the risk weight of each dimension, this application can avoid the one-sidedness of a single label and provide a more comprehensive and refined risk assessment for complex situations. For example, when a data packet simultaneously indicates equipment overload and operator fatigue, the combined label can consider these two risks together, resulting in a higher overall urgency than assessing either risk individually.

[0057] Furthermore, by continuously monitoring the changing trends of the mining area's operating environment and historical safety incident data, and dynamically updating the semantic tag library accordingly, the solution proposed in this application can promptly identify and respond to new risk patterns or complex risks that cannot be covered by the existing tagging system. This means that the system no longer relies on preset, fixed risk models, but possesses the ability to learn and adapt, continuously improving its risk identification and assessment mechanisms as the operating environment changes and new risks emerge. This ensures that the inherent meaning and urgency judgment of data packets remain highly relevant and accurate to the actual situation.

[0058] Through the above technical solutions, this application can significantly improve the accuracy and adaptability of data transmission receivers in judging the inherent meaning and urgency of wireless data packets. Specifically, the introduction of a semantic tag library makes the semantic processing of data packets more systematic and standardized, ensuring a unified and accurate understanding of different types of data packets. Generating combined tags containing multiple dimensions enables the system to conduct more comprehensive and refined risk assessments when facing complex, multi-factor-intertwined risk scenarios, avoiding misjudgments or omissions caused by a single tag.

[0059] More importantly, by continuously monitoring environmental changes and historical events and dynamically updating the semantic tag library, this application endows the system with the ability to identify and respond to new risk patterns, effectively solving the problem of the lag of traditional fixed tag systems when facing unknown or evolving risks. This not only improves the system's early warning capability for potential security threats, but also enables the allocation of communication resources to more accurately serve the most critical and urgent data transmission needs, thereby comprehensively improving the safety and efficiency of mining operations.

[0060] In some embodiments described above in this application, when a wireless data packet involves multiple risk factors, a combined label containing multiple dimensions is generated according to the composite risk assessment rules defined in the semantic tag library. Specifically, the step of generating a combined label containing multiple dimensions may further include the following: when the wireless data packet involves multiple risk factors, generating a combined label containing multiple dimensions according to the composite risk assessment rules defined in the semantic tag library includes: Identify the multiple risk factors involved in the wireless data packets; Analyze the correlations among the multiple risk factors; Determine whether the combination of the multiple risk factors constitutes the novel risk pattern; Based on the novel risk pattern, select or combine the tag dimensions in the semantic tag library; The urgency of the tag dimension is adjusted based on the real-time values ​​and trends of the multiple risk factors and the vehicle operating status information. Generate combined labels that include the adjusted dimensions.

[0061] Specifically, identifying multiple risk factors involved in the wireless data packets refers to performing in-depth analysis of the payload content of the wireless data packets and combining it with their source, type, and vehicle operating status information to identify multiple independent or related factors that may lead to risks. For example, a single data packet may simultaneously indicate multiple risk factors such as engine overheating, abnormal tire pressure, and the vehicle being on a steep incline.

[0062] Furthermore, analyzing the correlations among these multiple risk factors refers to assessing whether there are interactions or cascading effects among these identified risk factors. For example, engine overheating may lead to brake system failure, while a vehicle on a steep incline may increase the risk of brake failure. This correlation analysis can be achieved through a pre-defined risk association rule base, expert systems, or machine learning models based on historical data.

[0063] Determining whether the combination of multiple risk factors constitutes a novel risk pattern involves comparing the currently identified combination of multiple risk factors with risk patterns defined in a semantic tag library. If the combination does not match any known patterns, or if its risk level far exceeds expectations, it can be identified as a novel risk pattern. This helps the system to promptly identify and respond to unexpected and complex risk situations.

[0064] As a preferred implementation, selecting or combining tag dimensions from the semantic tag library based on the novel risk pattern means that once a novel risk pattern is identified, the system will dynamically select or combine tag dimensions that best reflect the essence of the risk from the semantic tag library according to the characteristics of the pattern. For example, for a novel risk involving mechanical failure and environmental factors, tag dimensions such as "mechanical failure" and "environmental impact" can be combined.

[0065] In practical applications, adjusting the urgency of the label dimension based on the real-time values ​​and trends of the multiple risk factors and the vehicle's operating status information means dynamically correcting the urgency of the selected label dimension. For example, if the engine temperature continues to rise rapidly, its urgency will be increased even if it has not yet reached a critical value; similarly, the urgency of risks associated with high-speed driving or heavy loads will also increase accordingly.

[0066] Therefore, generating a combined label that includes adjusted dimensions means integrating the dynamically adjusted label dimensions and their corresponding urgency information to form a combined label that comprehensively and accurately reflects the current risk situation.

[0067] This application's solution, through refined identification, correlation analysis, and novel risk pattern assessment of multiple risk factors involved in wireless data packets, enables a more comprehensive and in-depth understanding of the complexity of the current operating environment. It is precisely this dynamic evaluation of multiple risk factors and flexible adjustment of tag dimensions that allows the system to generate more targeted and real-time combined tags, thereby avoiding misjudgments or omissions that might result from evaluating a single risk factor. This mechanism ensures that even in the face of complex and ever-changing mining operating environments, the system can accurately capture potential compound risks and assign them appropriate levels of urgency.

[0068] The aforementioned technical solutions significantly enhance the data transmission decision-making capabilities of data receivers in handling complex risk scenarios. Specifically, by identifying multiple risk factors and analyzing their correlations, the system can more accurately assess the combined impact of risks, rather than simply summing them up. Furthermore, the ability to identify new risk patterns and dynamically adjust tag dimensions enables the system to cope with unknown or evolving risks, greatly enhancing the flexibility and adaptability of risk assessment. Consequently, the generated combined tags more accurately reflect the actual risk situation, providing a more reliable basis for subsequent data processing priority determination, thereby effectively improving the overall safety and response efficiency of mining operations.

[0069] In some embodiments described above, a semantic tag library is maintained within the data processing unit of the data transmission receiver, and this semantic tag library is dynamically updated based on continuously monitored trends in the mining area's operating environment and historical safety event data. However, if only basic monitoring is performed, it may be impossible to identify potential high-risk safety event precursors in a timely and accurate manner, especially when environmental parameters change complexly, have unclear correlations, or develop rapidly. This could lead to untimely or inaccurate early warnings, thereby affecting the system's ability to respond to emergencies and overall safety.

[0070] In this regard, this application further proposes specific methods for continuously monitoring the changing trends of the mining area's working environment and historical safety incident data, including: Receive real-time environmental data streams from truck-mounted sensors and externally deployed mining area environmental monitoring equipment; Based on the truck's current operating area, historical operating data, and the real-time environmental data, establish a baseline of normal environmental parameters for the current area; The correlation between different environmental parameters in the real-time environmental data is analyzed, and the rate of change of each environmental parameter is evaluated in real time. Based on the baseline of normal environmental parameters, the results of correlation analysis, and the results of rate of change assessment, abnormal patterns or rapid development patterns are identified. The abnormal pattern or the rapid development pattern is compared with historical security event data to determine whether there is a pattern that matches the precursors of high-risk security events. When a pattern is identified that matches the precursors to a high-risk security event, an early warning signal is generated.

[0071] Specifically, receiving real-time environmental data streams from truck-mounted sensors and externally deployed mine environmental monitoring equipment means that the transmitter receiver continuously receives various environmental parameter data collected by sensors (such as vibration sensors, temperature sensors, gas sensors, tilt sensors, etc.) installed on various trucks within the mine and by fixed environmental monitoring equipment (such as geological stress sensors, groundwater level sensors, gas concentration monitors, etc.) deployed in the mine via a wireless communication module. These data streams form the basis for subsequent risk assessments.

[0072] Specifically, based on the truck's current operating area, historical operating data, and the real-time environmental data, a baseline of normal environmental parameters for the current area is established. This can be understood as the system calculating and determining a set of environmental parameter ranges or thresholds representing the "normal" state of the area, based on the truck's current geographical location and operating type, combined with historical environmental data for that area (such as average temperature, humidity, and vibration levels over a past period) and the currently received real-time environmental data. This baseline serves as a reference standard for judging whether the environment is abnormal.

[0073] In practical applications, analyzing the correlation between different environmental parameters in the real-time environmental data and evaluating the rate of change of each environmental parameter in real time means that the system not only monitors each environmental parameter independently, but also analyzes whether there are synergistic changes or mutual influences between different parameters (for example, an increase in temperature may be accompanied by an increase in gas concentration), while simultaneously calculating the rate and trend of change of each parameter in real time. This correlation analysis and rate evaluation helps to discover patterns where the changes of a single parameter are not obvious, but the combination has risk significance. Furthermore, based on the normal environmental parameter baseline, the correlation analysis results, and the rate of change evaluation results, identifying abnormal patterns or rapid development patterns means that when the real-time environmental data deviates from the normal environmental parameter baseline, or when unexpected correlation changes occur between different parameters, or when the rate of change of a certain parameter exceeds a preset threshold, the system will identify it as a potential abnormal pattern. Rapid development patterns specifically refer to situations where parameter values ​​change drastically in a short period of time, which may indicate a rapid escalation of danger.

[0074] Therefore, comparing the abnormal or rapid development patterns with historical safety event data to determine if a pattern matching the precursors of a high-risk safety event exists means that the system matches the currently identified abnormal or rapid development patterns with environmental data patterns recorded before historical mining safety accidents stored in the database. For example, if the current pattern is highly similar to the geological stress, vibration, and groundwater level change patterns before a historical landslide accident, it is considered a possible precursor to a high-risk safety event. Finally, when a pattern matching the precursors of a high-risk safety event is identified, an early warning signal is generated to promptly notify relevant personnel and systems to take necessary preventative or responsive measures.

[0075] This application's solution effectively addresses the limitations of basic monitoring schemes in identifying precursors to high-risk safety events through multi-source data fusion, baseline establishment, multi-dimensional analysis, and historical data comparison. Through these technical solutions, this application significantly enhances the early warning capabilities of data transmission receivers for potential safety risks in mining environments. Compared to schemes that only perform basic monitoring and dynamically update semantic tag libraries, this application, by establishing refined environmental parameter baselines, conducting multi-parameter correlation analysis, and assessing change rates in real time, can identify abnormal patterns or rapid development patterns that foreshadow high-risk safety events earlier and more accurately. This proactive and in-depth risk identification mechanism enables the system to generate timely warning signals, thus gaining valuable response time for mine workers and management, effectively avoiding or mitigating accidents, and greatly ensuring the safety and efficiency of mining operations. Furthermore, comparison with historical safety event data further enhances the reliability of early warnings, reduces false alarms and missed alarms, and allows resources to be allocated more effectively to genuine emergencies.

[0076] In some of the embodiments described above in this application, an early warning signal is generated when a pattern consistent with the precursors of a high-risk safety event is identified. However, simply generating an early warning signal may not be sufficient to ensure its timely and accurate transmission to all relevant parties in the complex and ever-changing mining environment. If the propagation priority of the early warning signal and the list of receiving terminals are not effectively determined, it may lead to information transmission delays and key personnel failing to receive the warning in a timely manner, thereby affecting the efficiency and effectiveness of emergency response and increasing safety risks.

[0077] In this regard, this application further proposes the following steps for generating an early warning signal when a pattern consistent with the precursors of a high-risk security event is identified: Identify the type, urgency, and potential impact of the precursors to the high-risk security incidents; Based on the type, urgency, and potential impact of the precursors to the high-risk security events, determine the propagation priority of the early warning signals and the list of receiving terminals; The communication method is selected based on the propagation priority. The warning signal is sent to the truck onboard controller, remote monitoring center and relevant operator handheld terminals in the receiving terminal list via the communication method.

[0078] Specifically, after identifying a pattern consistent with the precursors of a high-risk safety event, the first step is to conduct an in-depth analysis of the precursor to determine its specific type, urgency level, and potential impact range. The type can refer to geological disasters (such as landslides and mudslides), equipment malfunctions (such as brake failure and structural fractures), and environmental risks (such as excessive gas levels and high dust concentrations). The urgency level is categorized into different grades based on the immediacy and severity of the risk, such as "highest urgency," "high urgency," and "medium urgency." The potential impact range refers to the geographical area that the event may affect or the number of affected equipment and personnel.

[0079] Furthermore, based on the type, urgency, and potential impact of the identified high-risk security event precursors, the system intelligently determines the propagation priority and the list of receiving terminals for the warning signal. Propagation priority ensures that the most urgent warnings receive priority access to communication resources for fastest transmission. The list of receiving terminals precisely filters out the specific devices and personnel required to receive the warning information based on the event's impact and nature. For example, it may include truck onboard controllers within the affected area, the remote monitoring center responsible for the area, and handheld terminals used by personnel operating in the area.

[0080] Based on this, the most suitable communication method is selected according to the determined propagation priority. For example, for the highest priority warnings, a dedicated communication link with high reliability and low latency might be selected, or even multipath transmission or satellite communication might be initiated as a backup. For lower priority warnings, transmission might be carried out through a conventional wireless network.

[0081] Finally, using the selected communication method, the warning signal is sent to all target devices and personnel in the aforementioned list of receiving terminals. This ensures that the warning information is delivered accurately and promptly to the truck's onboard controller for automatic risk avoidance measures; to the remote monitoring center for macro-level dispatching and decision-making; and to the handheld terminals of relevant personnel for timely evacuation or response.

[0082] The solution proposed in this application solves the limitations of simply generating warning signals without ensuring their effective and timely transmission by finely identifying the type, urgency, and potential impact of precursors to high-risk security events and dynamically determining the propagation priority and receiving terminal list based on this.

[0083] Through the aforementioned technical solution, this application can significantly improve the timeliness and effectiveness of early warning for high-risk safety incidents in mining areas. By implementing refined priority management and targeted distribution of early warning signals, it ensures that critical early warning information can be accurately and promptly transmitted to all relevant automated systems and on-site personnel via the fastest and most reliable paths. This not only significantly shortens emergency response time and reduces the probability and severity of accidents, but also improves the overall safety management level of the mining area and the safety of life and property of workers.

[0084] In some embodiments described above, a warning signal is generated when a pattern matching the precursors of a high-risk safety event is identified, and the propagation priority and list of receiving terminals for the warning signal are determined. However, in practical applications, if the method for determining the list of receiving terminals is not refined and dynamic enough, the warning information may not accurately reach the workers actually in the danger zone, or it may cause unnecessary widespread warnings, thereby reducing the effectiveness of the warnings and the vigilance of the workers.

[0085] In response, this application further proposes a step for determining the list of receiving terminals for the warning signal based on the type, urgency, and potential impact of the aforementioned high-risk security event precursors, including: Real-time acquisition of the truck's current operating area's geographic location information; Based on the geographical location information of the truck's current operating area, geological data, terrain data, and historical risk event records of the truck's current operating area are obtained from the vehicle-mounted geographic information system; The system periodically receives location and status data from the handheld terminals of all registered workers in the mining area via a wireless communication module. Based on the geographical location information of the truck's current operating area, the geological data, the terrain data, the historical risk event records, the type of precursors to high-risk safety events, the degree of urgency, and the potential impact range, the real-time risk level of each sub-area within the truck's current operating area is dynamically assessed; Based on the real-time risk level, identify high-risk sub-areas within the truck's current operating area; Spatial matching is performed between the high-risk sub-regions and the location data of the workers' handheld terminals; Based on the spatial matching results, the handheld terminals of the workers currently located in the high-risk sub-area are selected; Add the selected workers' handheld terminals to the list of receiving terminals for the warning signal.

[0086] Specifically, real-time acquisition of the truck's current operating area's geographic location information refers to continuously monitoring the truck's precise location through an onboard Global Positioning System (GPS) or a high-precision positioning system (such as RTK). The onboard Geographic Information System (GIS) stores detailed geological maps, topographic maps, historical disaster point distributions, and safety zone delineations for the mining area. This data is used to provide crucial spatial background information for risk assessment. Through a wireless communication module, real-time location data (e.g., via the GPS module built into the handheld terminal) and status data (e.g., terminal battery level, network connection status, etc.) from all registered workers within the mining area can be collected periodically to understand the dynamic distribution of personnel.

[0087] This application's solution comprehensively utilizes the truck's real-time geographical location, the mining area's static geographic information (geology, topography), historical risk event records, and the specific characteristics (type, urgency, potential impact range) of high-risk safety event precursors to conduct a refined real-time risk level assessment of each sub-area within the truck's current operating area. For example, if the precursor indicates a landslide risk, the risk level of the relevant sub-area is increased by combining data such as terrain slope, geological structure, and historical landslide points.

[0088] Based on this, the system can identify high-risk sub-areas where the current risk level reaches a preset threshold. Then, by spatially matching the geographical extent of these high-risk sub-areas with the real-time location data of the workers' handheld terminals, it can accurately filter out workers currently in hazardous areas. Finally, the identifiers of these filtered workers' handheld terminals are added to the list of receiving terminals for early warning signals, ensuring that early warning information is delivered accurately.

[0089] Through the aforementioned technical solution, the list of receiving terminals for early warning signals is no longer statically preset but can be intelligently adjusted based on real-time dynamic information. This significantly improves the accuracy and effectiveness of early warnings, avoids interference with personnel in non-dangerous areas, and thus reduces the "crying wolf" effect and alarm fatigue. Simultaneously, it ensures that personnel working in high-risk areas can receive critical early warning information in a timely manner, greatly enhancing the safety of mining operations, optimizing the utilization efficiency of communication resources, and strengthening the responsiveness and intelligence level of the overall safety management system.

[0090] In some embodiments described above, this application proposes determining the propagation priority of early warning signals based on the type, urgency, and potential impact of precursors to high-risk safety events. However, in actual mining environments, communication channels may become congested due to the transmission of regular data streams, or the main communication link may experience quality degradation or even partial failure due to environmental interference, equipment malfunctions, or other reasons. In such cases, even if the early warning signal is given a high priority, its timeliness and reliability may still be affected, thereby delaying the transmission of critical information and posing a potential threat to operational safety.

[0091] In this regard, this application further proposes the above-mentioned method for determining the propagation priority of early warning signals, specifically including: Identify the urgency level of the precursors to the high-risk security events; When the urgency level of the precursor to the high-risk security event reaches the highest level, assess the resource usage of the regular data stream in the communication channel; Based on the resource occupancy status, a channel preemption request is sent to other communication nodes in the network to release transmission bandwidth; The central processor resources are used to process the warning signal, and an independent buffer is allocated for the warning signal; Detect the channel quality of the main communication link; When the channel quality of the main communication link is lower than a preset threshold or when part of the main communication link fails, the backup communication link is activated. The warning signal is transmitted through the backup communication link.

[0092] Specifically, identifying the urgency level of precursors to high-risk security incidents involves comprehensively assessing the potential harm, probability of occurrence, and time urgency of the security incident represented by the warning signal, and classifying it into different urgency levels. When the urgency level is determined to be the highest, it means that the incident has a decisive impact on system security, requiring immediate and strongest transmission protection measures.

[0093] Assessing the resource utilization of regular data streams in communication channels can be understood as real-time monitoring of the consumption of bandwidth, time slots, and processing capacity by various non-urgent data (such as daily work reports and equipment status inspection data) in the current communication network. The purpose is to quantify the current channel congestion level, providing a basis for subsequent channel preemption.

[0094] In practical applications, sending a channel preemption request to other communication nodes in the network specifically refers to notifying nodes that are currently transmitting regular data streams to pause or reduce their data transmission rate through a preset communication protocol or control command, thereby freeing up the necessary transmission bandwidth for the most urgent warning signals.

[0095] For example, higher-priority control frames can be sent to base stations, relay equipment, or adjacent trucks, requesting them to temporarily halt or reduce the transmission of non-critical data. The purpose is to ensure that the warning signal receives sufficient, non-contending transmission resources. Furthermore, centralizing processor resources to process the warning signal and allocating a dedicated buffer for it means that within the data transmission receiver, when the highest urgency warning signal is received, the system immediately allocates more CPU cycles, memory space, and other computing resources specifically for the parsing, encapsulation, and forwarding of that signal, and opens up a dedicated storage area unaffected by other data streams. The aim is to minimize processing latency and prevent the warning signal from being blocked due to resource contention during processing.

[0096] Furthermore, detecting the channel quality of the main communication link refers to evaluating the transmission performance of the current main communication path in real time by measuring parameters such as signal strength, signal-to-noise ratio, bit error rate, and packet loss rate. Its purpose is to promptly identify potential problems with the main link and provide a basis for decision-making in activating the backup link. When the channel quality of the main communication link falls below a preset threshold or when part of the main communication link fails, activating the backup communication link means that if the performance of the main link cannot meet the transmission requirements of the warning signal, the system will automatically switch to a pre-configured auxiliary communication link with a different physical path or different communication technology. For example, it can switch from Wi-Fi to a cellular network, or from terrestrial wireless to satellite communication. Its purpose is to provide transmission redundancy and ensure that the warning signal can still be reliably transmitted when the main link fails. Therefore, transmitting the warning signal through the backup communication link means that when the main link is unavailable or performs poorly, the transmission capacity of the backup link is used to send the warning signal to the target receiving terminal.

[0097] This application's solution effectively addresses the challenge of ensuring the reliability and timeliness of high-urgency warning signal transmission in situations of communication channel congestion or main link failure through a series of collaborative mechanisms. By employing the aforementioned technical solution, this application significantly improves the reliability and timeliness of high-risk safety event warning signal transmission. Especially in mining environments, facing complex electromagnetic environments and potential communication interruptions, this solution ensures that the highest-urgency warning signal always receives priority access to communication resources and can quickly switch to a backup link when the main communication link fails, thereby effectively preventing safety accidents caused by communication delays or interruptions. This not only protects the lives of workers but also provides mine management with more timely and accurate decision-making support, greatly enhancing the safety response and risk mitigation capabilities of the entire mining operation system.

[0098] In some embodiments described above, when the channel quality of the primary communication link falls below a preset threshold or a portion of the primary communication link fails, a backup communication link is activated to ensure the transmission of the warning signal. However, in practical applications, communication link failures or performance degradation can be caused by various factors, and their nature (e.g., local or wide-area, short-term or persistent) varies. Simply activating the backup communication link may not provide the optimal and most economical solution for different types of interference or failures, and may even lead to unnecessary resource waste or failure to effectively transmit the warning signal in certain complex situations. For example, for short-lived local interference, immediately switching to the backup link may be less efficient than attempting adaptive recovery of the primary link; while for wide-area, persistent interference, a single backup link may be insufficient to guarantee the reliable transmission of critical warning information.

[0099] In this regard, this application further proposes the following steps for activating a backup communication link when the channel quality of the primary communication link is lower than a preset threshold or when a portion of the primary communication link fails: When the channel quality of the main communication link is lower than a preset threshold, the frequency characteristics and spatial distribution of channel interference are identified. By combining the real-time location information provided by the truck's onboard controller, it can be determined whether the channel interference is localized or widespread. Determine the duration of channel interference; When the channel interference is determined to be localized and short-term, the activation of the backup communication link is delayed, and an adaptive recovery is attempted by adjusting the transmission parameters of the main communication link. When the channel interference is determined to be localized or persistent, a backup communication link that does not overlap with the interference area or has stronger anti-interference capabilities is activated. When the channel interference is determined to be wide-area interference, all available backup communication links are immediately activated and multipath transmission is performed.

[0100] Specifically, identifying the frequency characteristics and spatial distribution of channel interference refers to accurately obtaining the frequency range, bandwidth, and physical area of ​​influence of interfering signals that cause a degradation in the quality of the main communication link through techniques such as spectrum analysis, signal strength monitoring, and comparison of multi-point received data. The real-time location information provided by the truck's onboard controller can be understood as the truck's current precise geographic coordinates obtained through a global positioning system, inertial navigation system, or high-precision positioning system within the mining area. Its purpose is to provide spatial reference for determining whether the interference is localized or widespread.

[0101] Determining whether channel interference is localized or widespread involves comparing the identified spatial distribution of the interference with the geographical information of the truck's current location and surrounding communication nodes to determine whether the interference affects only the area where the truck is located or a few communication nodes, or whether it affects the entire mining area or a large region. Determining the duration of channel interference involves predicting the potential duration of the interference through real-time monitoring of the interference signal and analysis of historical data; for example, whether it occurs instantaneously, exists for a short time, or persists for a long period.

[0102] As a preferred implementation, when the channel interference is determined to be localized and short-lived, the activation of the backup communication link is delayed, and an adaptive recovery is attempted by adjusting the transmission parameters of the main communication link. Specifically, adaptive recovery may include adjusting transmission power, changing the modulation and coding scheme, switching the operating frequency, optimizing the antenna beam direction, or adopting a retransmission mechanism. The aim is to restore the performance of the main communication link as much as possible without switching links, thus avoiding unnecessary link switching overhead.

[0103] Furthermore, when the channel interference is determined to be localized or persistent, a backup communication link that does not overlap with the interference area or has stronger anti-interference capabilities is activated. A backup communication link that does not overlap with the interference area refers to a link whose physical path or operating frequency band is completely separate from the current interference area or frequency. For example, it can switch to satellite communication, fiber optic links, or radio links using different frequency bands. A backup communication link with stronger anti-interference capabilities can be understood as a communication link that employs more advanced anti-interference technologies (such as frequency hopping, spread spectrum, adaptive beamforming, etc.) or has higher power redundancy.

[0104] Furthermore, when the channel interference is determined to be wide-area interference, all available backup communication links are immediately activated, and multipath transmission is initiated. These available backup communication links can include satellite communication links, redundant wireless mesh network links within the mining area, and even temporary ad-hoc network links formed with other operating vehicles. Multipath transmission refers to dividing the warning signal into multiple data streams and transmitting them simultaneously through different backup communication links to maximize the success rate and robustness of transmission. Even if some links fail, transmission can still be completed through other links.

[0105] This application's solution employs a refined analysis of channel interference on the main communication link, including identifying its frequency characteristics, spatial distribution, and duration. This allows for differentiated response strategies based on the specific nature of the interference. This intelligent judgment mechanism prevents the system from simply activating backup communication links when all main links experience performance degradation. Through this technical solution, the application dynamically and intelligently selects the optimal link recovery or switching strategy based on the actual situation of communication channel interference, significantly improving the reliability and efficiency of high-risk safety event early warning signal transmission. Compared to simply activating backup communication links, this application avoids unnecessary link switching, reduces system overhead, and optimizes the utilization of communication resources. Furthermore, by adopting customized countermeasures for different types of interference, such as adaptive recovery, selective backup link activation, and multi-path transmission, this application greatly enhances the system's adaptability and robustness in the complex and ever-changing communication environment of mining areas. This ensures that high-priority early warning information can still be delivered promptly and accurately under various extreme conditions, thus providing a more robust communication guarantee for mining operation safety.

[0106] Traditional data receivers, when processing information from various external devices, especially in complex and interference-prone environments like automated mining areas, often employ resource allocation methods based on fixed priorities or quality of service levels. This rigid processing mechanism results in some small but critical emergency commands that are of utmost importance to system security failing to be processed in a timely manner when network resources are strained or channel conditions deteriorate. This creates serious security risks and can even lead to severe safety incidents.

[0107] refer to Figure 3 , Figure 3 This is a schematic diagram of a data transmission system based on a wireless network data receiver according to an embodiment of the present invention, including: The input terminal is used to receive wireless data packets and extract the payload content of the wireless data packets; The judgment end is used to analyze the payload content and, in conjunction with the source, type, and vehicle operating status information of the wireless data packets, determine the inherent meaning and urgency of the wireless data packets. The determining end is used to attach the inherent meaning and urgency level identifier to the wireless data packet according to the judgment result; acquire communication channel status and vehicle operating status information; and determine the processing priority of the wireless data packet according to the identifier, the communication channel status and the vehicle operating status information. The adjustment terminal is used to adjust the allocation of communication resources according to the processing priority. The adjustment includes: when the identifier indicates that the wireless data packet has the highest system security determinism, reducing or stopping the transmission of regular data streams, concentrating processor resources to process the wireless data packet, and optimizing the use of the data buffer.

[0108] The system proposed in this application employs a modular design, implementing key functions such as data reception, meaning judgment, priority determination, and resource adjustment through dedicated components. This architecture ensures that, in complex and ever-changing environments, the data receiver can efficiently and accurately identify and process data packets that are of paramount importance to system security. This effectively avoids the problem of blocked emergency command transmission in traditional systems, significantly improving the reliability and security of data transmission in complex industrial scenarios.

[0109] The method provided in this application is primarily applied to data transmission receivers based on wireless networking, typically deployed on heavy-duty autonomous vehicles, such as mining trucks. A wireless data packet refers to a digital information unit transmitted via a wireless communication link, and its payload content is the actual valid information carried within the data packet. Vehicle operating status information may include vehicle speed, position, attitude, load, engine speed, braking status, etc., which are crucial for assessing the urgency of the data packet and its impact on system safety. Communication channel conditions refer to the quality of the wireless communication link, such as signal strength, signal-to-noise ratio, bit error rate, and bandwidth utilization. Processing priority is a key parameter guiding how the data transmission receiver allocates computational and transmission resources, and the allocation of communication resources involves processor time, memory, and transmission bandwidth.

[0110] Specifically, the above embodiments have already described the processes of receiving wireless data packets and extracting payload content, analyzing the payload content and determining its inherent meaning and urgency, attaching identifiers to wireless data packets, obtaining communication channel conditions and vehicle operating status information, determining the processing priority of wireless data packets, and adjusting communication resource allocation, which will not be repeated here. It should be emphasized that the system of this application implements the above functions through the following specialized components: The input terminal is configured to receive wireless data packets and extract the payload content of those packets. This input terminal can be an integrated wireless communication module, internally containing a radio frequency front-end, a baseband processor, and a data demodulation and decoding unit. In one implementation, the input terminal can be responsible only for receiving and preliminary processing at the physical layer and data link layer, passing the raw data packets to subsequent modules. In another implementation, the input terminal can also integrate preliminary data packet parsing functions, such as identifying the protocol type of the data packet and extracting the payload content, to reduce the burden on subsequent processing units.

[0111] The judgment unit is configured to analyze the payload content and, in conjunction with the source, type, and vehicle operating status information of the wireless data packets, determine the inherent meaning and urgency of the wireless data packets. This judgment unit can be a dedicated processing unit, such as a microcontroller or embedded processor, internally running preset analysis algorithms and rule bases. Specifically, the judgment unit can perform a comprehensive evaluation based on the semantic features of the payload content, the sender's identity, the data packet format, and real-time vehicle operating status data obtained from the vehicular sensor network. For example, when the vehicle is traveling at high speed, data packets from the braking system will be assigned a higher urgency level.

[0112] The determining unit is configured to, based on the judgment result, attach an identifier indicating the inherent meaning and urgency of the wireless data packet; acquire communication channel conditions and vehicle operating status information; and determine the processing priority of the wireless data packet based on the identifier, the communication channel conditions, and the vehicle operating status information. This determining unit can be a central control unit integrating an identifier generation module, a channel monitoring module, and a priority calculation module. The identifier generation module is responsible for adding metadata tags to the data packet based on the judgment result, such as indicating its security determinacy level. The channel monitoring module acquires parameters such as signal strength, signal-to-noise ratio, and interference level of the wireless channel in real time. The priority calculation module dynamically calculates the final processing priority of the data packet by comprehensively considering the data packet identifier, real-time channel conditions, and vehicle operating status information.

[0113] The adjustment terminal is configured to adjust the allocation of communication resources according to the processing priority. The adjustment includes: when the identifier indicates that the wireless data packet has the highest system security determinism, reducing or stopping the transmission of regular data streams, concentrating processor resources for processing the wireless data packet, and optimizing the use of the data buffer. This adjustment terminal can be a resource scheduler capable of dynamically managing resources such as processor time, memory, and transmission bandwidth of the data transmitter receiver. When a data packet with the highest system security determinism is received, the adjustment terminal immediately triggers a resource reallocation strategy, such as sending a channel preemption request to other communication nodes in the network or suspending the transmission of non-urgent data streams, to ensure that the critical data packet can obtain the highest priority transmission channel and processing resources. Simultaneously, the adjustment terminal also optimizes the use of the data buffer, for example, by allocating a separate, high-priority buffer queue for the critical data packet to prevent it from being blocked by other data packets, thereby ensuring that it is processed and transmitted with minimal latency and the highest reliability.

[0114] The system provided in this application, by introducing dedicated functional modules such as an input terminal, a judgment terminal, a determination terminal, and an adjustment terminal, achieves a deep understanding and dynamic response to the intrinsic meaning of wireless data packets and their decisive impact on system security. Unlike the rigid processing mechanisms in existing technologies based on fixed priorities or quality of service levels, this system can intelligently identify urgent instructions that, although small in size, have a decisive impact on system security. Through the collaborative work of various functional modules, the system can comprehensively analyze the payload content, source, type, and vehicle operating status information of data packets, and, combined with real-time communication channel conditions, assign a dynamic and accurate priority to each data packet. Especially when a data packet with the highest system security decisiveness is detected, the system will decisively reduce or stop the transmission of regular data streams through the adjustment terminal, concentrate all available resources to process the critical data packet, and optimize the use of the data buffer, thereby ensuring that it is transmitted and executed at the fastest speed and with the highest reliability. This modular and intelligent system architecture effectively avoids the risk of delayed or discarded urgent instructions in traditional systems, significantly improving the safety of heavy-duty unmanned vehicles operating in complex industrial scenarios, especially in automated mining areas.

[0115] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A data transmission method for a data receiver based on wireless networking, characterized in that, include: Receive wireless data packets and extract the payload content of the wireless data packets; The payload content is analyzed, and the inherent meaning and urgency of the wireless data packets are determined by combining the source and type of the wireless data packets with the vehicle operating status information. Based on the judgment result, the inherent meaning and urgency level are added to the wireless data packet; Acquire information on communication channel status and vehicle operating status; The processing priority of the wireless data packet is determined based on the identifier, the communication channel status, and the vehicle operating status information. Based on the processing priority, the allocation of communication resources is adjusted, including: when the identifier indicates that the wireless data packet has the highest system security determinism, the transmission of regular data streams is reduced or stopped, processor resources are concentrated for processing the wireless data packet, and the use of data buffers is optimized.

2. The data transmission method for a data receiver based on wireless networking according to claim 1, characterized in that, The analysis of the payload content, combined with the source and type of the wireless data packets and vehicle operating status information, to determine the inherent meaning and urgency of the wireless data packets includes: The system acquires local temperature and heat flow data collected by a miniature temperature sensor and heat flow sensor array deployed under the truck chassis, and matches the truck's current location with a local micro-environment map of the mining area stored in the on-board controller to determine whether the truck is in a known local extreme micro-environment. The received structural stress sensor data is correlated with local microenvironment sensor data at the same timestamp and geographical location; Based on the risk assessment of the truck's macro-operating scenario and the risk assessment of the local micro-environment, the scenario risk weight is calculated; The urgency of the wireless data packets is adjusted based on the situational risk weights.

3. The data transmission method for a data receiver based on wireless networking according to claim 1, characterized in that, The step of attaching the identifier of inherent meaning and urgency to the wireless data packet based on the judgment result includes: In the data processing unit inside the data transmission receiver, a semantic tag library is maintained, which includes tag type, urgency level, semantic rules and risk weight; Based on the payload content of the wireless data packet, the source of the wireless data packet, the type of the wireless data packet, and the vehicle operating status information, a matching tag type is searched in the semantic tag library; When the wireless data packet involves multiple risk factors, a combined label containing multiple dimensions is generated according to the composite risk assessment rules defined in the semantic label library; The overall urgency of the wireless data packet is calculated based on the risk weights of each dimension of the combined label. Continuously monitor the changing trends of the mining area's working environment and historical safety incident data; When a new risk pattern or a complex risk that the existing tagging system cannot accurately cover is detected, the semantic tagging library is dynamically updated.

4. The data transmission method for a data receiver based on wireless networking according to claim 3, characterized in that, When the wireless data packet involves multiple risk factors, a combined label containing multiple dimensions is generated according to the composite risk assessment rules defined in the semantic label library, including: Identify the multiple risk factors involved in the wireless data packets; Analyze the correlations among the multiple risk factors; Determine whether the combination of the multiple risk factors constitutes the novel risk pattern; Based on the novel risk pattern, select or combine the tag dimensions in the semantic tag library; The urgency of the tag dimension is adjusted based on the real-time values ​​and trends of the multiple risk factors and the vehicle operating status information. Generate combined labels that include the adjusted dimensions.

5. The data transmission method for a data receiver based on wireless networking according to claim 3, characterized in that, The continuously monitored trends in the mining area's working environment and historical safety incident data include: Receive real-time environmental data streams from truck-mounted sensors and externally deployed mining area environmental monitoring equipment; Based on the truck's current operating area, historical operating data, and the real-time environmental data, establish a baseline of normal environmental parameters for the current area; The correlation between different environmental parameters in the real-time environmental data is analyzed, and the rate of change of each environmental parameter is evaluated in real time. Based on the baseline of normal environmental parameters, the results of correlation analysis, and the results of rate of change assessment, abnormal patterns or rapid development patterns are identified. The abnormal pattern or the rapid development pattern is compared with historical security event data to determine whether there is a pattern that matches the precursors of high-risk security events. When a pattern is identified that matches the precursors to a high-risk security event, an early warning signal is generated.

6. The data transmission method for a data receiver based on wireless networking according to claim 5, characterized in that, When a pattern consistent with the precursors of a high-risk security event is identified, a warning signal is generated, including: Identify the type, urgency, and potential impact of the precursors to the high-risk security incidents; Based on the type, urgency, and potential impact of the precursors to the high-risk security events, determine the propagation priority of the early warning signals and the list of receiving terminals; The communication method is selected based on the propagation priority. The warning signal is sent to the truck onboard controller, remote monitoring center and relevant operator handheld terminals in the receiving terminal list via the communication method.

7. The data transmission method for a data receiver based on wireless networking according to claim 6, characterized in that, The step of determining the list of receiving terminals for the early warning signal based on the type, urgency, and potential impact of the precursors to the high-risk security event includes: Real-time acquisition of the truck's current operating area's geographic location information; Based on the geographical location information of the truck's current operating area, geological data, terrain data, and historical risk event records of the truck's current operating area are obtained from the vehicle-mounted geographic information system; The system periodically receives location and status data from the handheld terminals of all registered workers in the mining area via a wireless communication module. Based on the geographical location information of the truck's current operating area, the geological data, the terrain data, the historical risk event records, the type of precursors to high-risk safety events, the degree of urgency, and the potential impact range, the real-time risk level of each sub-area within the truck's current operating area is dynamically assessed; Based on the real-time risk level, identify high-risk sub-areas within the truck's current operating area; Spatial matching is performed between the high-risk sub-regions and the location data of the workers' handheld terminals; Based on the spatial matching results, the handheld terminals of the workers currently located in the high-risk sub-area are selected; Add the selected workers' handheld terminals to the list of receiving terminals for the warning signal.

8. A data transmission method for a data receiver based on wireless networking according to claim 6, characterized in that, The step of determining the propagation priority of the early warning signal based on the type, urgency, and potential impact of the precursors to the high-risk security event includes: Identify the urgency level of the precursors to the high-risk security events; When the urgency level of the precursor to the high-risk security event reaches the highest level, assess the resource usage of the regular data stream in the communication channel; Based on the resource occupancy status, a channel preemption request is sent to other communication nodes in the network to release transmission bandwidth; The central processor resources are used to process the warning signal, and an independent buffer is allocated for the warning signal; Detect the channel quality of the main communication link; When the channel quality of the main communication link is lower than a preset threshold or when part of the main communication link fails, the backup communication link is activated. The warning signal is transmitted through the backup communication link.

9. A data transmission method for a data receiver based on wireless networking according to claim 8, characterized in that, The step of activating a backup communication link when the channel quality of the main communication link is lower than a preset threshold or when a portion of the main communication link fails includes: When the channel quality of the main communication link is lower than a preset threshold, the frequency characteristics and spatial distribution of the channel interference are identified. Based on the real-time location information provided by the truck's onboard controller, determine whether the channel interference is localized or widespread. Determine the duration of the channel interference; When the channel interference is determined to be localized and short-term, the activation of the backup communication link is delayed, and an adaptive recovery is attempted by adjusting the transmission parameters of the main communication link. When the channel interference is determined to be localized or persistent, a backup communication link that does not overlap with the interference area or has stronger anti-interference capabilities is activated. When the channel interference is determined to be wide-area interference, all available backup communication links are immediately activated and multipath transmission is performed.

10. A data transmission system for a data receiver based on wireless networking, characterized in that, include: The input terminal is used to receive wireless data packets and extract the payload content of the wireless data packets; The judgment end is used to analyze the payload content and, in conjunction with the source, type, and vehicle operating status information of the wireless data packets, determine the inherent meaning and urgency of the wireless data packets. The determining end is used to attach the identifier of the inherent meaning and urgency level to the wireless data packet based on the judgment result; Acquire information on communication channel status and vehicle operating status; The processing priority of the wireless data packet is determined based on the identifier, the communication channel status, and the vehicle operating status information. The adjustment terminal is used to adjust the allocation of communication resources according to the processing priority. The adjustment includes: when the identifier indicates that the wireless data packet has the highest system security determinism, reducing or stopping the transmission of regular data streams, concentrating processor resources to process the wireless data packet, and optimizing the use of the data buffer.

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