Mobile equipment heat dissipation state remote monitoring method based on Beidou positioning

Abstract

The invention relates to the technical field of remote monitoring of the Internet of Things, and particularly discloses a remote monitoring method for the heat dissipation state of mobile equipment based on Beidou positioning. The method is cooperatively executed by a mobile device and a remote monitoring center and only depends on a Beidou system. The core is that the mobile device is integrated with a Beidou positioning and short message communication module, collects heat dissipation state parameters and Beidou positioning data and binds the heat dissipation state parameters and the Beidou positioning data; triggering a communication decision according to a comparison result of the parameter and the dynamically corrected threshold value; and when there is no ground network, the data is sent to a monitoring center through a Beidou short message. The method further comprises a closed loop step of issuing a remote control instruction by the monitoring center through a Beidou short message, and a solar power supply system introduced for guaranteeing communication. According to the invention, the problem of remote monitoring and management of the heat dissipation state of the mobile equipment in a public network-free environment is solved, and global effective monitoring and intelligent intervention are realized.

Description

Technical Field

[0001] This invention relates to the field of IoT remote monitoring technology, and more specifically, to a method for remotely monitoring the heat dissipation status of mobile devices based on BeiDou positioning. Background Technology

[0002] With the widespread application of mobile computing devices in scenarios lacking stable terrestrial network coverage, such as field exploration, ocean shipping, emergency communications, and national defense, the stable operation of these devices under complex environments and high load conditions faces severe challenges. Among these challenges, heat dissipation is a key parameter that directly affects device performance and lifespan. Continuous and effective remote monitoring and management of this parameter is crucial for ensuring the continuity of critical missions and preventing permanent hardware damage.

[0003] In existing technologies, heat dissipation management of mobile devices largely relies on localized temperature sensing and fixed threshold control strategies, such as throttling or shutting down when the core temperature exceeds a preset value. This approach has significant limitations. First, its monitoring and control capabilities are entirely limited to the device itself, lacking an effective remote information transmission and interaction mechanism. In areas lacking public terrestrial wireless network signals, the device's real-time operating status, fault information, and precise geographical location cannot be uploaded to the remote management backend, leaving the device in a monitoring blind spot. Management personnel cannot provide early warnings and interventions before heat dissipation issues escalate into hardware failures. Second, existing solutions generally use fixed temperature thresholds set based on standard environments (such as sea level conditions), ignoring the geographical environment of the device, especially the physical impact of altitude on heat dissipation efficiency. In high-altitude, low-pressure environments, decreased air density leads to a significant reduction in convective heat dissipation efficiency. Using fixed thresholds easily causes alarm delays or misjudgments, failing to achieve accurate assessment and proactive early warning of overheating risks. Furthermore, some attempts to combine satellite communication with other solutions have failed to form an adaptive communication decision-making mechanism that is deeply integrated with the equipment status, nor have they built a complete closed loop from status awareness to remote control. This results in low efficiency on satellite links with limited communication resources, which restricts their practical value and reliability in extreme environments.

[0004] In summary, the existing technologies mainly face the following technical challenges: First, how to achieve reliable remote transmission of mobile device heat dissipation status and location information in environments with no public terrestrial wireless network coverage; second, how to enable heat dissipation management alarm strategies to adapt to the dynamically changing geographical environment of the device, thereby improving the accuracy of monitoring and the foresight of early warnings; and third, how to construct a complete closed-loop monitoring system that remains effective even in extreme environments with limited communication resources, encompassing status awareness and remote intelligent control. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a remote monitoring method for the heat dissipation status of a mobile device based on BeiDou positioning, wherein the method is executed collaboratively by the mobile device and a remote monitoring center, and relies solely on the BeiDou system; the mobile device integrates a BeiDou positioning module and a BeiDou short message communication module; and the method includes the following steps: S1. The mobile device collects its internal heat dissipation status parameters and other device status parameters; S2. Simultaneously, the mobile device obtains its own BeiDou positioning data through the BeiDou positioning module, and the BeiDou positioning data includes at least latitude and longitude, elevation, and BeiDou system time; S3. Bind the heat dissipation status parameters, other device status parameters and the BeiDou positioning data to generate a comprehensive status data package; S4. Based on the comparison result between the heat dissipation status parameters and the preset threshold, trigger the corresponding communication decision; S5. When the mobile device determines that it is in an environment without terrestrial public wireless network coverage, it automatically selects and sends the comprehensive status data packet to the remote monitoring center via the Beidou short message communication module.

[0007] Preferably, the heat dissipation status parameters include processor core temperature and cooling fan speed, and the other device status parameters include at least one of device power consumption, battery voltage, and location information.

[0008] Preferably, in step S4, triggering the corresponding communication decision specifically includes: When the heat dissipation status parameter is lower than the first threshold, the comprehensive status data packet is cached locally and periodically reported with low priority via the Beidou short message communication module according to the first cycle T1. When the heat dissipation status parameter reaches or exceeds the first threshold, an alarm command is immediately generated, and the current comprehensive status data packet integrating the alarm command is sent to the remote monitoring center in real time via the Beidou short message communication module as a high-priority message.

[0009] Preferably, before sending data through the BeiDou short message communication module, an adaptive communication optimization step is also included: Get the size of the current integrated status data packet to be sent; When the data size exceeds the capacity limit L_max of a single BeiDou short message, the historical time-series data in the integrated status data packet is first automatically compressed, or its key feature values ​​are extracted to generate a simplified aggregate data packet. If the amount of data after compression or aggregation still exceeds the capacity limit L_max, the data packet is automatically split into N sub-packets, where N is an integer not less than 2. A message header containing a sequence identifier is added to each sub-packet, and then the packets are sent in batches sequentially through the BeiDou short message communication module.

[0010] Preferably, the step of extracting key feature values ​​to generate aggregated data packets specifically includes: The historical time-series data is segmented; Calculate the maximum, minimum, and arithmetic mean of each time series data segment, as well as the trend value derived from linear regression. The calculated set of maximum, minimum, arithmetic mean, and trend values ​​are used to replace the original historical time-series data to form the aggregated data package.

[0011] Preferably, the method further includes a remote command closed-loop step executed by the remote monitoring center: S6. After receiving the comprehensive status data packet sent through the BeiDou short message communication module, the remote monitoring center parses out the BeiDou positioning coordinates and heat dissipation status information of the mobile device. S7. Based on the analysis results, generate a remote control command for adjusting the heat dissipation operation status of the mobile device; S8. The remote control command is sent to the corresponding mobile device via the Beidou short message communication module.

[0012] Preferably, in step S7, the remote control command includes any one or a combination of the following: a command to adjust the device workload to an energy-saving mode, a command to force the cooling fan to start or increase the cooling fan speed to X% of the power, or a command to control the device to perform periodic shutdown.

[0013] Preferably, before step S4, a dynamic threshold correction step is further included: The preset threshold is dynamically adjusted based on the elevation information H parsed from the BeiDou positioning data. The adjustment logic is as follows: the higher the altitude value indicated by the elevation information H, the lower the preset threshold is adjusted accordingly.

[0014] Preferably, the step of dynamically correcting the preset threshold specifically includes: Access a preset elevation-threshold correction coefficient mapping table; Based on the current elevation information H, the mapping table is queried to obtain the corresponding threshold correction coefficient K, where 0 < H < H < H. <K≤1; Multiply the base threshold T_base by the threshold correction coefficient K to calculate the dynamic preset threshold T_dynamic applicable to the current elevation environment, i.e., T_dynamic = T_base × K.

[0015] Preferably, the mobile device is also equipped with a solar power supply system, which includes a solar panel and a backup battery to provide backup power for the BeiDou short message communication module and the monitoring firmware. The function executed by the method on the mobile device is implemented by a set of monitoring firmware embedded in the device's operating system. This firmware directly calls the driver interface of the BeiDou positioning module to obtain BeiDou positioning data and directly calls the driver interface of the BeiDou short message communication module to initiate BeiDou short message communication.

[0016] The technical effects and advantages of this invention are as follows: Compared to existing technologies, this invention introduces a remote transmission mechanism based on BeiDou short message communication, constructing a monitoring information uplink that does not rely on terrestrial networks. This method integrates an independent BeiDou communication module on the mobile device. When the device determines it is in an environment without a public network, the underlying monitoring firmware automatically sends a device status data packet bound to high-precision BeiDou positioning data to the remote monitoring center via the BeiDou system. The workflow involves the system continuously monitoring network status and seamlessly switching communication links after network interruption, ensuring reliable uploading of critical status information from any geographical location. This approach fully utilizes the BeiDou system's all-area wireless communication coverage, completely eliminating monitoring blind spots in remote areas such as the wild and ocean. The result is continuous visibility of device status from the management backend. Its advantage lies in improving the robustness and reliability of the entire monitoring system under complex geographical conditions, providing indispensable communication support for stable operation and timely maintenance of equipment under extreme conditions.

[0017] Compared to existing technologies, this invention effectively addresses the challenges posed by varying physical heat dissipation conditions at different altitudes by establishing a dynamic threshold correction mechanism linked to BeiDou elevation information. The system accesses a pre-set correction parameter mapping table based on real-time elevation data provided by the BeiDou module, and dynamically calculates and adjusts the temperature threshold for triggering alarms. This approach transforms heat dissipation management strategies from static, universal settings to a dynamic, intelligent decision-making process closely coupled with environmental physical factors. Specifically, in high-altitude areas, the system can automatically lower the alarm threshold based on the correction coefficient, thus issuing warnings earlier before equipment temperature reaches dangerous levels due to decreased heat dissipation efficiency caused by low air pressure. The objective effect is a more realistic assessment of equipment overheating risks, providing a more timely warning window. Its advantages lie in enhancing the scientific nature and environmental adaptability of thermal management, enabling the initiation of countermeasures in the early stages of deteriorating physical heat dissipation conditions, thereby improving the operational safety and reliability of equipment in variable environments.

[0018] Compared to existing technologies, this invention constructs a remote command closed loop based on BeiDou two-way communication, enabling proactive management and intervention of the heat dissipation status of remote equipment. After parsing alarm information and precise location, the remote monitoring center can generate control commands according to preset rules, including adjusting equipment power consumption modes and forcibly activating or enhancing heat dissipation devices, and send these commands to the target equipment via BeiDou short message service. This establishes a complete control loop from status perception, remote alarm, decision generation to command issuance and execution. It empowers management personnel with the remote control capability to directly operate equipment even in extreme situations where on-site presence is impossible and ground communication is completely interrupted. The objective effect is a significant reduction in response time from detecting abnormal states to implementing corrective measures, allowing potential heat dissipation faults to be remotely suppressed or eliminated before they worsen. Its advantage lies in elevating the value of remote monitoring from post-event status tracing to real-time intervention, enhancing the overall system's management efficiency and proactive defense capabilities against sudden thermal events. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating the overall workflow of the method of the present invention.

[0020] Figure 2 This is a flowchart illustrating the core processing and optimization of the present invention.

[0021] Figure 3 This is a flowchart of the communication decision-making and optimization process of the present invention. Detailed Implementation

[0022] 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.

[0023] Example 1 As attached Figures 1 to 3 The method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning is illustrated. Its functionality relies on two core entities: the mobile device and the remote monitoring center. The mobile device, as the monitoring terminal, is both the physical carrier and the data source; the remote monitoring center is responsible for information aggregation, analysis, and command generation.

[0024] The functionality of mobile devices is initiated by a monitoring firmware deeply embedded in the operating system. This firmware runs with a privilege level higher than that of applications, ensuring that its execution is not interrupted by normal system load. The firmware's primary task is to periodically collect internal parameters that reflect the device's thermal state; this process corresponds to step [step name missing]. For example, processor core temperature directly reflects the chip's heat dissipation status, while cooling fan speed reflects the system's active cooling capability. Meanwhile, collecting parameters such as device power consumption helps correlate heat sources from an energy input perspective. These multi-dimensional parameters collectively constitute the device's thermal health status.

[0025] While collecting status parameters, the firmware obtains precise spatial and temporal information from the integrated BeiDou positioning module by calling a dedicated driver interface. This process corresponds to step [step name missing]. The acquired BeiDou positioning data is a set of information, including at least longitude, latitude, and altitude. And the BeiDou system time. The BeiDou system time provides a unified and accurate time reference for all collected data, facilitating subsequent analysis of the time series characteristics of the data.

[0026] Subsequently, the system performs a crucial data fusion step. The monitoring firmware will take steps. Acquisition of device status parameters and procedures The acquired BeiDou positioning data is bound according to a predefined structured format to generate a comprehensive status data packet. This data packet is designed to permanently associate the device's status information with its spatial location and precise time, avoiding the risk of mismatch between status and location information during transmission or processing.

[0027] Furthermore, in the core communication decision-making steps... Previously, the system introduced a pre-processing step to improve monitoring accuracy: dynamic threshold correction. Traditional fixed threshold methods become rigid and inaccurate when the physical environment of the equipment changes. The heat dissipation efficiency of the equipment is directly related to the atmospheric conditions of its environment, especially the atmospheric pressure and air density associated with altitude.

[0028] The dynamic threshold correction mechanism operates by first adjusting the elevation values ​​in the BeiDou positioning data. Extraction of elevation. Altitude, or elevation, is the input variable for the correction logic. The system internally uses a pre-built elevation-threshold correction coefficient mapping table. This mapping table is an empirical model established by performing regression analysis on the collected data from extensive, controlled thermal tests on similar equipment at different altitudes. Essentially, this table defines the elevation-threshold correction coefficient mapping. To threshold correction coefficient (satisfy The functional relationship of ). For example, the mapping table may be stored in interval form: when elevation lie in When the interval is used, the correction factor is used. The value is 1.00; when lie in When the interval is, The value is 0.95; and so on. This negative correlation design, where the coefficient is lowered as the elevation increases, is suitable for situations where the higher the altitude, the thinner the air, and the worse the convective heat dissipation efficiency.

[0029] Dynamic threshold The calculation follows the formula .in, These are the basic safety thresholds determined experimentally and based on device specifications under standard atmospheric pressure at sea level. For a system set in a plains area... The equipment, when it operates at an altitude of 1000 meters... Location (assuming corresponding) Its dynamic threshold will be automatically adjusted to In high-altitude areas, the system will trigger alarms at lower temperatures, thus compensating for the loss of heat dissipation efficiency caused by environmental changes and achieving proactive early warning. For elevation values ​​not explicitly listed in the mapping table, the system uses linear interpolation to calculate continuous... This value ensures the smoothness and adaptability of threshold changes.

[0030] Furthermore, the communication decision-making steps The priority and scheduling strategy for information transmission are determined based on the severity of the equipment's condition.

[0031] The decision is based on real-time heat dissipation parameters (such as core temperature). (and the threshold obtained by dynamic calculation) Comparison. Priority-based resource scheduling. When This indicates that the equipment is in a safe or low-risk operating range. At this time, the system's primary goal is to conserve valuable satellite communication resources and the equipment's own energy. Therefore, the generated integrated status data packets are marked as "normal," cached in local non-volatile memory, and processed according to a preset, relatively long period. (e.g., 10) Perform low-priority periodic reporting to reduce average communication overhead.

[0032] Conversely, when Upon receiving the message, the system immediately enters emergency response mode. The monitoring firmware instantly generates a command containing a specific alarm code and integrates this command with the most critical status data at that moment, marking it as "urgent." This high-priority message immediately preempts communication resources, is inserted at the front of the transmission queue, and is transmitted to the remote monitoring center in real time with the shortest link establishment time and transmission interval. This differentiated communication scheduling ensures that critical alarm information receives the highest transmission guarantee under the premise of limited system resources, buying time for remote intervention.

[0033] Furthermore, before the data packets are finally sent through the BeiDou short message communication module, an adaptive communication optimization step is activated to resolve the contradiction between massive monitoring data and limited satellite communication capacity.

[0034] This step is performed by a packet preprocessing engine built into the firmware. The engine first evaluates the size of the integrated status data packet to be sent. The BeiDou short message service has strict limitations on the payload of a single message (e.g., (bytes). When a data packet exceeds its size limit due to containing historical time-series data used for trend analysis, the engine first initiates an intelligent data refinement process based on feature value extraction.

[0035] A piece of historical time-series data (e.g., past) One sampling point per second, total Each temperature value is considered as a time series, and it is divided into several sub-periods (e.g., each...). As a sub-time period, a total of (segment). For each data point within a sub-segment, the engine calculates four core statistical features: the maximum value within that segment. Minimum value Arithmetic mean and the trend value obtained through linear regression analysis. .

[0036] Arithmetic mean This reflects the average heat load level during that period, and the calculation formula is: And the trend value It is more forward-looking, quantifying the direction and rate of temperature evolution, and the calculation formula is as follows: A significantly positive Even if the current absolute temperature does not exceed the threshold, this value may indicate an accelerating trend of thermal runaway.

[0037] By using this highly condensed set of eigenvalues ​​(in this example) part Replace the original eigenvalues ​​with (one eigenvalue). The data points are compressed to a great extent, while preserving the statistical characteristics and dynamic behavior of the original sequence to the greatest extent.

[0038] If the size of the data packets after this aggregation process still exceeds the capacity of a single message... The system will then automatically initiate a split-send mechanism. The engine will split the aggregated data packets into... Each sub-packet is a suitably sized sub-packet. The header of each sub-packet contains a unique session identifier (SessionID) for this transmission, and a sequence number identifying the current sub-packet. and the total number of sub-packages These sub-packets are sequentially sent into the transmission queue. The receiving end (remote monitoring center) uses the information in the message header to correctly reassemble all sub-packets belonging to the same data packet. This combination strategy of compression followed by splitting ensures the transmission of the richest and most complete monitoring information possible within the constraints of rigid communication capacity.

[0039] Furthermore, in order to elevate remote monitoring capabilities from passive perception to proactive intervention, a complete remote command loop needs to be constructed.

[0040] When the remote monitoring center receives an alarm data packet, its protocol parsing module first decodes and verifies it, accurately extracting the device identification, geographical coordinates, real-time status parameters, and historical feature values. Subsequently, the center's instruction generation system is activated. This system embeds a rule-based expert knowledge base; these rules are the culmination of domain knowledge and operational experience. For example, a rule might be defined as: "If the device's core temperature..." And the trend of change If the temperature rises rapidly, the command to force the fan to run at its highest speed should be executed first, supplemented by the command to switch the equipment to energy-saving mode.

[0041] After the command generation module matches the parsed results with the corresponding rules, it generates formatted remote control commands. Commands typically consist of an opcode and parameters. For example, the opcode... It can be defined as "Set Fan Power", parameter Then corresponding Duty cycle; opcode This can be defined as "switching to energy-saving mode." This encoding method makes the command compact and easy to parse. The command is transmitted to the target device via downlink through the central BeiDou communication facility.

[0042] Upon receiving a command, the monitoring firmware on the mobile device performs reverse engineering to identify the opcode and parameters, and then calls the operating system's underlying interface or directly manipulates the hardware control registers to execute the corresponding action. After execution, the firmware can report the result again.

[0043] Furthermore, to ensure long-term stable operation in remote areas with limited power infrastructure, the mobile equipment is also equipped with a solar power system. This system consists of solar panels, a smart charge controller, deep-cycle backup batteries, and a high-reliability power management unit (PMU). The PMU continuously monitors the voltage level of the device's main power supply. If a main power failure is detected or the voltage drops to a safe threshold (e.g., ...), the system will take immediate action. Below this, the PMU will complete the switch in milliseconds, seamlessly taking over the power supply of the Beidou communication module and core monitoring firmware to the backup battery.

[0044] To more clearly demonstrate the collaborative workflow of the various technical elements of this solution in practice, the following example of an oceanographic research vessel sailing in the Pacific Ocean and its onboard data processing server will be used for an end-to-end explanation.

[0045] The monitoring firmware inside the shipboard server is 10 The frequency is directly read from the CPU temperature sensor to obtain the raw temperature value. .

[0046] To suppress noise, the value is processed by a first-order hysteresis digital filter, with the transfer function being... The filtering time constant Set as .

[0047] After filtering, a stable temperature value is obtained for decision-making. (Finish ).

[0048] At the same time, the firmware calls the positioning acquisition function to obtain the current ship position: East longitude. ,north latitude Elevation And BeiDou timestamp (completed) ).

[0049] The firmware then executes the data in Type-Length-Value (TLV) format. Fan speed, power consumption, timestamp, and complete BeiDou positioning data are encapsulated into a comprehensive status data packet (complete). ).

[0050] In triggering communication decisions ( Before that, the firmware performs dynamic threshold correction.

[0051] It extracts elevation. Query the elevation-threshold correction coefficient mapping table. Since 50... Falling The interval is thus used to obtain the correction coefficient. .

[0052] Assuming a base threshold Then the dynamic threshold .

[0053] because The firmware immediately triggers an alarm process.

[0054] Subsequently, the firmware checks the network status and, after confirming that there is no terrestrial network, switches the communication link to the BeiDou short message module.

[0055] Before sending, the preprocessing engine detects that the data packet is accompanied by... Historical temperature data (300 points) is very large (approximately 600 bytes).

[0056] Engine startup compression process: Divide 300 points into Paragraph. The first paragraph (the...) Up to 59 Taking 60 points as an example, the calculation is as follows: , , .

[0057] Calculate the trend of change : Time Index Average average temperature .

[0058] molecular .

[0059] denominator .

[0060] Therefore .

[0061] The remaining four segments are calculated in the same way. Ultimately, 20 feature values ​​replace 300 original data points, resulting in an aggregate packet size of approximately 100 bytes. This size is determined if the value is less than or equal to the capacity limit of a single BeiDou short message. Then there is no need to split it.

[0062] If the size of the data packet after compression or aggregation still exceeds the capacity limit of a single BeiDou short message... The system will automatically initiate the unpacking and reporting mechanism.

[0063] Single BeiDou short message capacity limit It depends on the communication level of the Beidou communication card (1 byte = 8 bits). See Table 1 below for details: Table 1 Communication level Level 1 Level 2 Level 3 Level 4 Level 5 Unclassified message length 692bit 1835bit 3883bit 7979bit 14000bit Approximately 49 Chinese characters Approximately 131 Chinese characters Approximately 277 Chinese characters Approximately 569 Chinese characters 1000 Chinese characters After sending the first sub-packet, the system will wait for a certain frequency interval. The time depends on the frequency level of the BeiDou short message service used, and its standard classification is shown in Table 2 below: Table 2. Regional and Global Short Message Service Frequency Classification Frequency level Level 1 Level 2 Level 3 Level 4 Level 5 Level 6 Level 7 Level 8 Frequency 1s 2s 3s 5s 6s 8s 10s 20s Frequency level Level 9 Level 10 Level 11 Level 12 Level 13 Level 14 Level 15 the remaining Frequency 30s 40s 50s 1min 2min 5min 15min reserve In a typical embodiment of this solution, data transmission can be performed using a 12-level service (frequency 1 minute).

[0064] During the waiting period, the system can perform other monitoring tasks or enter a low-power state. After the interval ends, the second sub-packet is automatically sent, and so on, until all sub-packets have been sent. This mechanism ensures that even with limited communication resources, large-volume data reporting can still be reliably completed, while complying with the BeiDou communication protocol.

[0065] The aggregated alarm packet was sent to the shore-based monitoring center via BeiDou short message service (completed). ).

[0066] The monitoring center parses the message and extracts the device ID, location, and other information. and characteristic values ​​showing an upward trend (completed) The expert system matches rules and generates "force the fan to..." "Power" command (opcode) ,parameter )(Finish ).

[0067] The command, after being encoded, is sent to the server via BeiDou short message service (completed). ).

[0068] The server monitors the firmware parsing instructions and sets the fan PWM duty cycle to [specific value] via system calls. After execution, the firmware detected that the core temperature was... Internal from 88.0 Dropped to 75.0 The system then relayed the status message "command executed successfully and temperature dropped" back to the monitoring center via BeiDou short message.

[0069] Finally, the following points should be noted: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installation", "connection", and "linkage" should be interpreted broadly, and can be mechanical or electrical connections, or internal connections between two components, or direct connections. "Up", "down", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may change. Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for remotely monitoring the heat dissipation status of mobile devices based on BeiDou positioning, characterized in that, The method is executed collaboratively by a mobile device and a remote monitoring center, and relies solely on the BeiDou system. The mobile device integrates a BeiDou positioning module and a BeiDou short message communication module. The method includes the following steps: S1. The mobile device collects its internal heat dissipation status parameters and other device status parameters; S2. Simultaneously, the mobile device obtains its own BeiDou positioning data through the BeiDou positioning module, and the BeiDou positioning data includes at least latitude and longitude, elevation, and BeiDou system time; S3. Bind the heat dissipation status parameters, other device status parameters and the BeiDou positioning data to generate a comprehensive status data package; S4. Based on the comparison result between the heat dissipation status parameters and the preset threshold, trigger the corresponding communication decision; S5. When the mobile device determines that it is in an environment without terrestrial public wireless network coverage, it automatically selects and sends the comprehensive status data packet to the remote monitoring center via the Beidou short message communication module.

2. The method for remote monitoring of heat dissipation status of mobile devices based on BeiDou positioning according to claim 1, characterized in that, The heat dissipation status parameters include processor core temperature and cooling fan speed, and the other device status parameters include at least one of device power consumption, battery voltage and location information.

3. The method for remote monitoring of heat dissipation status of mobile devices based on BeiDou positioning according to claim 1, characterized in that, In step S4, triggering the corresponding communication decision specifically includes: When the heat dissipation status parameter is lower than the first threshold, the comprehensive status data packet is cached locally and periodically reported with low priority via the Beidou short message communication module according to the first cycle T1. When the heat dissipation status parameter reaches or exceeds the first threshold, an alarm command is immediately generated, and the current comprehensive status data packet integrating the alarm command is sent to the remote monitoring center in real time via the Beidou short message communication module as a high-priority message.

4. The method for remote monitoring of heat dissipation status of mobile devices based on BeiDou positioning according to claim 3, characterized in that, Before sending data via the BeiDou short message communication module, an adaptive communication optimization step is also included: Get the size of the current integrated status data packet to be sent; When the data size exceeds the capacity limit L_max of a single BeiDou short message, the historical time-series data in the integrated status data packet is first automatically compressed, or its key feature values ​​are extracted to generate a simplified aggregate data packet. If the amount of data after compression or aggregation still exceeds the capacity limit L_max, the data packet is automatically split into N sub-packets, where N is an integer not less than 2. A message header containing a sequence identifier is added to each sub-packet, and then the packets are sent in batches sequentially through the BeiDou short message communication module.

5. A method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning according to claim 4, characterized in that, The step of extracting key feature values ​​to generate aggregated data packets specifically includes: The historical time-series data is segmented; Calculate the maximum, minimum, and arithmetic mean of each time series data segment, as well as the trend value derived from linear regression. The calculated set of maximum, minimum, arithmetic mean, and trend values ​​are used to replace the original historical time-series data to form the aggregated data package.

6. A method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning according to claim 1, characterized in that, The method further includes a remote command closed-loop step executed by the remote monitoring center: S6. After receiving the comprehensive status data packet sent through the BeiDou short message communication module, the remote monitoring center parses out the BeiDou positioning coordinates and heat dissipation status information of the mobile device. S7. Based on the analysis results, generate a remote control command for adjusting the heat dissipation operation status of the mobile device; S8. The remote control command is sent to the corresponding mobile device via the Beidou short message communication module.

7. A method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning according to claim 6, characterized in that, In step S7, the remote control command includes any one or a combination of the following: a command to adjust the device workload to an energy-saving mode, a command to force the start or increase the cooling fan speed to X% of the power, or a command to control the device to perform periodic shutdown.

8. A method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning according to claim 1, characterized in that, Before step S4, a dynamic threshold correction step is also included: The preset threshold is dynamically adjusted based on the elevation information H parsed from the BeiDou positioning data. The adjustment logic is as follows: the higher the altitude value indicated by the elevation information H, the lower the preset threshold is adjusted accordingly.

9. A method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning according to claim 8, characterized in that, The step of dynamically correcting the preset threshold is specifically as follows: Access a preset elevation-threshold correction coefficient mapping table; Based on the current elevation information H, the mapping table is queried to obtain the corresponding threshold correction coefficient K, where 0 < H < H < H. <K≤1; Multiply the base threshold T_base by the threshold correction coefficient K to calculate the dynamic preset threshold T_dynamic applicable to the current elevation environment, i.e., T_dynamic = T_base × K.

10. A method for remote monitoring of the heat dissipation status of mobile devices based on BeiDou positioning according to claim 1, characterized in that, The mobile device is also equipped with a solar power system, which includes solar panels and a backup battery to provide backup power for the BeiDou short message communication module and monitoring firmware. The function executed by the method on the mobile device is implemented by a set of monitoring firmware embedded in the device's operating system. This firmware directly calls the driver interface of the BeiDou positioning module to obtain BeiDou positioning data and directly calls the driver interface of the BeiDou short message communication module to initiate BeiDou short message communication.

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