A Multimodal Charging Pile Communication Protocol Self-Adaptation Method and System

Abstract

The present application provides a multi-modal charging pile communication protocol self-adaptation method and system. Among them, a communication protocol association map is generated based on the spatial topology of the building layout and the temperature-intensive characteristics of the charging piles, and the protocol priority parameters are generated in combination with the distribution of temperature-aggregated areas and the frequency of protocol calls. The transmission frequency is dynamically adjusted through real-time temperature data, and the coupling parameters and frequency change trends are used to determine the fluctuation range. A protocol scheduling rule is established, and the frequency band of the communication bus protocol is adapted based on the fluctuation range, so that the charging piles in the temperature-aggregated area execute the matching frequency band. A protocol switching instruction is generated and the frequency band is allocated to the target charging pile in a targeted manner. The priority parameters and frequency band constraints are cyclically optimized according to the temperature data update and instruction status to form a closed-loop control. The technical solution provided by the present application realizes the closed-loop optimization of the charging pile communication protocol and improves the transmission efficiency and stability in the temperature-aggregated area.

Description

Technical Field

[0001] The present application relates to the technical field of communication protocol self-adaptation, and in particular to a method and system for self-adapting a communication protocol of a multimodal charging pile. Background Art

[0002] In high-density commercial complex charging pile clusters, the heterogeneous communication protocols of different charging pile brands, the dynamic changes in charging loads, and the combined risks of high-temperature equipment operation necessitate the dynamic self-adaptation of multimodal communication protocols and the coordinated optimization of thermal management. Core requirements include: the charging pile cluster must autonomously identify and match different protocol interfaces to ensure real-time data exchange; and it must dynamically adjust charging power and cooling strategies based on device temperature, environmental conditions, and load conditions to balance charging efficiency and device safety.

[0003] One targeted solution currently utilizes a protocol conversion framework based on a centralized communication gateway, combined with a dynamic polling mechanism. The gateway incorporates a built-in multi-protocol conversion module that analyzes charging pile communication messages using a pre-configured protocol library, identifying protocols and converting data formats. Simultaneously, the gateway polls the status of each charging pile within a fixed time window and, in conjunction with temperature sensor feedback, triggers power limiting or cooling control instructions based on preset thresholds. This solution achieves preliminary protocol adaptation and thermal management linkage through the collaborative work of hardware and software.

[0004] However, the dynamic polling mechanism of this solution has the problem of insufficient real-time performance in high-density cluster scenarios. The fixed time window can easily lead to protocol recognition delays and thermal status feedback lags, affecting the response speed of high-concurrency scenarios. Secondly, the protocol library relies on manually predefined rules and lacks the ability to adapt to new protocols or dynamic protocol updates, which can easily cause protocol mismatches. In addition, the thermal management strategy is not deeply coupled with the protocol adaptation logic, and power adjustment is only triggered by thresholds, making it difficult to achieve multi-objective collaborative optimization, which may cause local overload or waste of heat dissipation resources. Summary of the Invention

[0005] The present application provides a multi-modal charging pile communication protocol self-adaptation method and system to solve the problem of communication instability of charging pile groups in complex thermal environments in the prior art.

[0006] Obtaining building layout data and charging pile temperature data, generating a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature-intensive characteristics of the charging pile temperature data, and generating a protocol priority parameter based on the distribution of temperature-intensive areas in the communication protocol association map and the call frequency of different communication protocol versions;

[0007] Based on the protocol priority parameter, the transmission frequency of the communication module is synchronously adjusted in combination with the real-time collected charging pile temperature data, and the protocol priority parameter is dynamically coupled with the change trend of the transmission frequency to obtain the fluctuation range of the transmission frequency adjustment by the protocol priority parameter;

[0008] Establishing a protocol scheduling rule linked to the communication protocol association map, and performing frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging piles corresponding to the temperature concentration area execute the frequency band that matches the transmission frequency during the communication process;

[0009] Generate a protocol switching instruction according to the frequency band adaptation result, and allocate the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction;

[0010] Based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, the protocol priority parameters and the constraints of the frequency band adaptation are cyclically optimized to form a closed-loop communication control.

[0011] Optionally, a protocol scheduling rule linked to the communication protocol association map is established, and frequency band adaptation is performed on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging pile corresponding to the temperature concentration area executes a frequency band matching the transmission frequency during the communication process, including:

[0012] Obtaining a protocol priority parameter of a temperature cluster area in the communication protocol association map, and assigning a frequency band interval to the protocol type transmitted by each communication bus in combination with the calling frequency of the protocol type in the protocol priority parameter, wherein the length of the frequency band interval is positively correlated with the calling frequency;

[0013] Establishing a mapping relationship between the protocol type and the frequency band interval, and forming a protocol scheduling rule linked to the communication protocol association map based on the mapping relationship, wherein the protocol scheduling rule is to use the frequency band interval corresponding to the protocol type when the charging piles in the temperature concentration area communicate through a specific connection path;

[0014] Determining the transmission frequency offset boundary allowed for each protocol type according to the fluctuation range of the transmission frequency adjustment corresponding to the protocol priority parameter;

[0015] Real-time monitoring of the dynamic offset of the transmission frequency of the communication module in the temperature concentration area, and if the dynamic offset reaches the transmission frequency offset boundary, adjusting the range of the frequency band interval corresponding to the protocol type according to the protocol scheduling rule;

[0016] The adjusted frequency band range is bound to the communication module of the charging pile in the temperature concentration area, so that the charging pile only uses the transmission frequency within the frequency band range that matches the protocol type during the communication process.

[0017] Optionally, if the dynamic offset reaches the transmission frequency offset boundary, adjusting the range of the frequency band interval corresponding to the protocol type according to the protocol scheduling rule includes:

[0018] Comparing the dynamic offset of the transmission frequency with the transmission frequency offset boundary defined in the protocol scheduling rule to determine whether the dynamic offset reaches or exceeds the offset boundary, and if the dynamic offset reaches the offset boundary, calculating the expansion or contraction amount of the frequency band interval corresponding to the protocol type according to the mapping relationship between the protocol type and the frequency band interval in the protocol scheduling rule;

[0019] The range of the frequency band interval of the protocol type is adjusted based on the expansion or contraction amount of the frequency band interval to generate a new frequency band interval range.

[0020] Optionally, a communication protocol association map is generated based on the spatial topological relationship of the building layout data and the temperature density characteristics of the charging pile temperature data, and a protocol priority parameter is generated based on the distribution of temperature cluster areas in the communication protocol association map and the calling frequency of different communication protocol versions, including:

[0021] Extracting the location coordinates of charging piles and the connection relationships between adjacent charging piles from the building layout data to construct a network describing the spatial topological relationship of the charging piles, wherein the spatial topological relationship network uses nodes to represent the locations of charging piles and lines to represent the direct connection paths between adjacent charging piles;

[0022] Performing regional continuity analysis on the charging pile temperature data, marking areas where the charging pile temperature data continuously exceeds a set threshold and covers multiple charging piles as temperature concentration areas;

[0023] Overlapping and comparing the distribution of nodes in the spatial topological relationship network with the coverage of the temperature concentration area, extracting the nodes and connection paths in the temperature concentration area to generate a communication protocol association map;

[0024] The number of calls of different communication protocol versions in each temperature aggregation area in the communication protocol association map and the total number of scheduling in each temperature aggregation area are counted, and a protocol priority parameter is generated based on the number of calls and the total number of scheduling. The protocol priority parameter represents the priority of each communication protocol version in the corresponding temperature aggregation area.

[0025] Optionally, based on the protocol priority parameter, the transmission frequency of the communication module is synchronously adjusted in combination with the real-time collected charging pile temperature data, and the protocol priority parameter is dynamically coupled with the change trend of the transmission frequency to obtain the fluctuation range of the transmission frequency adjustment by the protocol priority parameter, including:

[0026] Calculating an adjustment amount for the transmission frequency of the communication module according to the calling frequency corresponding to each communication protocol version in the protocol priority parameter;

[0027] Real-time collection of the temperature change rate of the charging pile temperature data within the temperature concentration area, and dynamic association of the temperature change rate with the adjustment amount of the transmission frequency to generate a real-time influence coefficient of the temperature change rate on the transmission frequency;

[0028] Correcting the adjustment amount of the transmission frequency based on the real-time impact coefficient to obtain a corrected transmission frequency value, and feeding the corrected transmission frequency value back to the calling frequency of the corresponding communication protocol version in the protocol priority parameter;

[0029] The maximum offset and the minimum offset of the modified transmission frequency value within the preset time window are counted to obtain the changing trend of the transmission frequency. Based on the changing trend of the protocol priority parameter and the transmission frequency, the fluctuation range of the transmission frequency adjustment by the protocol priority parameter is generated.

[0030] Optionally, generating a protocol switching instruction according to the frequency band adaptation result, and directionally allocating the frequency band to a target charging pile in the temperature concentration area through the protocol switching instruction includes:

[0031] Based on the load range of the frequency band and the spatial boundary of the temperature concentration area in the frequency band adaptation result, a mapping relationship between the frequency band and the target charging pile in the temperature concentration area is established;

[0032] Traversing the communication nodes in the building layout data according to the mapping relationship, screening out the communication nodes that have spatial overlap with the temperature concentration area and whose protocol priority parameters are higher than a set value, and forming a directional transmission path by connecting the communication nodes in series;

[0033] When the fluctuation range corresponding to the frequency band adaptation result reaches the critical threshold set by the protocol scheduling rule, a protocol switching instruction is triggered to be generated, wherein the triggering condition is achieved by detecting whether the real-time transmission frequency of the continuous communication nodes in the directional transmission path falls within the load range of the protocol frequency band;

[0034] The communication nodes in the directional transmission path are locked by the protocol switching instruction, and are transmitted to the target charging piles in the temperature concentration area in sequence according to the arrangement order of the communication nodes in the directional transmission path.

[0035] Optionally, based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, the protocol priority parameter and the constraint condition of the frequency band adaptation are cyclically optimized to form a closed-loop communication control, including:

[0036] Continuously receiving real-time charging pile temperature data within the temperature concentration area, and generating a temperature change trend based on the temperature change amplitude and duration of the real-time charging pile temperature data;

[0037] Monitoring the execution status of the protocol switching instruction, obtaining frequency band usage data of the target charging pile, and comparing the frequency band usage data with the frequency band interval required in the protocol switching instruction to generate a frequency band adaptation execution deviation;

[0038] Correlating the temperature change trend with the execution deviation, adjusting the call weights of different protocol versions in the protocol priority parameter according to the correlation result, and generating an optimized protocol priority parameter;

[0039] Recalculating the matching relationship between the protocol type and the frequency band interval according to the optimized protocol priority parameter and the current frequency band adaptation constraint to update the frequency band adaptation constraint;

[0040] Based on the updated constraints, the frequency band adaptation process is re-triggered, a new protocol switching instruction is generated and sent to the target charging pile, forming a cyclic optimization of closed-loop communication control.

[0041] In a second aspect, the present application provides a multi-modal charging pile communication protocol self-adaptation system, comprising:

[0042] An acquisition module is configured to acquire building layout data and charging pile temperature data, generate a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature-intensive characteristics of the charging pile temperature data, and generate a protocol priority parameter based on the distribution of temperature-intensive areas in the communication protocol association map and the call frequency of different communication protocol versions;

[0043] A coupling module is configured to synchronously adjust the transmission frequency of the communication module based on the protocol priority parameter in combination with the real-time collected charging pile temperature data, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency to obtain a fluctuation range of the transmission frequency adjustment by the protocol priority parameter;

[0044] An establishment module is used to establish a protocol scheduling rule linked to the communication protocol association map, and based on the protocol scheduling rule and in combination with the fluctuation range, the frequency band of the protocol type transmitted by the communication bus is adapted so that the charging pile corresponding to the temperature concentration area executes the frequency band that matches the transmission frequency during the communication process;

[0045] An allocation module, configured to generate a protocol switching instruction according to the frequency band adaptation result, and allocate the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction;

[0046] An optimization module is used to cyclically optimize the protocol priority parameters and the constraints of the frequency band adaptation based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction to form a closed-loop communication control.

[0047] In a third aspect, an embodiment of the present application provides a computing device comprising a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a multimodal charging pile communication protocol self-adaptation method as described in the first aspect above.

[0048] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, it implements a multi-modal charging pile communication protocol self-adaptation method as described in the first aspect.

[0049] This application obtains building layout data and charging pile temperature data, generates a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature-intensive characteristics of the charging pile temperature data, and generates protocol priority parameters based on the distribution of temperature-aggregated areas in the communication protocol association map and the calling frequency of different communication protocol versions. It can integrate spatial topological structure and temperature dynamic characteristics to construct a multi-dimensional association model for protocol scheduling, and optimize the targeted allocation of communication resources; based on the protocol priority parameters, the transmission frequency of the communication module is synchronously adjusted in combination with the real-time collected charging pile temperature data, and the protocol priority parameters are dynamically coupled with the changing trend of the transmission frequency to obtain the fluctuation range of the transmission frequency adjustment by the protocol priority parameters, which can realize dynamic feedback control of the priority parameters and real-time temperature data, and improve the communication anti-interference ability; by establishing a communication protocol association map with the communication protocol The spectrum-linked protocol scheduling rules perform frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rules and in combination with the fluctuation range, so that the charging piles corresponding to the temperature concentration area execute the frequency band that matches the transmission frequency during the communication process, and can reduce the probability of signal conflict through precise matching of the frequency band and the temperature hot zone; by generating a protocol switching instruction according to the frequency band adaptation result, and allocating the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction, it can achieve targeted optimization of communication resources in high-load areas and enhance the efficiency of channel resource utilization; by cyclically optimizing the protocol priority parameters and the frequency band adaptation constraints based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, to form a closed-loop communication control, it can continuously suppress communication delays and data packet loss rates through a dynamic closed-loop mechanism, and ensure the stability and real-time performance of charging pile cluster communication.

[0050] Furthermore, by dynamically allocating frequency bands based on protocol priority parameters and call frequency, a precise match between high-frequency protocol types and wide-band resources is achieved, significantly improving communication bus bandwidth utilization efficiency. A scheduling rule, built on the mapping relationship between protocol types and frequency bands, strongly couples the communication paths of charging piles within temperature-concentrated areas with the protocol frequency bands, effectively suppressing signal crosstalk during parallel transmission of multiple protocols. Dynamically defining transmission frequency offset boundaries and monitoring real-time offsets trigger adaptive adjustment of the frequency band range when communication frequency fluctuations exceed safety thresholds, ensuring communication stability in high-load areas. Combining the adjusted frequency band range with the communication module, the charging piles are forced to execute protocol transmissions within the matching frequency band, reducing the probability of cross-band signal conflicts and enhancing communication anti-interference capabilities through dynamic adaptation of frequency band resources to temperature hotspots. The resulting closed-loop feedback control system, through the coordinated optimization of protocol priority parameters, frequency band range, and transmission frequency, achieves elastic scalability of communication resource allocation and self-healing maintenance of channel quality in temperature-sensitive scenarios, comprehensively improving the robustness and real-time responsiveness of the charging pile cluster communication system.

[0051] These and other aspects of the present application will become more readily apparent from the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0053] Figure 1 A flowchart of a multi-modal charging pile communication protocol self-adaptation method provided by the present application is shown;

[0054] Figure 2 A schematic diagram of the structure of a multi-modal charging pile communication protocol self-adaptive system provided by the present application is shown;

[0055] Figure 3 A schematic structural diagram of a computing device provided by the present application is shown. DETAILED DESCRIPTION

[0056] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0057] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this document or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to being different types.

[0058] Researchers have found that the existing charging pile group control communication protocol scheduling relies on fixed frequency band allocation or single temperature threshold control, which makes it difficult to dynamically adapt to the building space layout and the communication needs of temperature-intensive areas, resulting in protocol switching delays, local frequency band congestion and equipment overheating risks. Based on this, a method for dynamic optimization and closed-loop control of charging pile communication protocols is provided. This method can achieve dynamic collaborative adaptation of communication frequency bands and equipment thermal environments through deep coupling modeling of temperature characteristics and protocol maps. The technical solution of this application can be applied to high-density charging pile cluster communication optimization, smart grid equipment thermal management and multi-protocol collaborative scheduling scenarios.

[0059] The entire R&D process embodies a dynamic closed-loop optimization mechanism of temperature feature drive and protocol scheduling, aiming to overcome the defects of static protocol scheduling, delayed temperature response, and rigid frequency band allocation in existing solutions. Through the dynamic mapping of communication protocol association maps and temperature concentration areas, the limitation of traditional protocol priority relying on manual configuration is broken through; based on the real-time coupling of transmission frequency adjustment and protocol fluctuation range, the problem of decreased communication efficiency caused by competition for local frequency band resources in high-density charging scenarios is solved; combined with the precise adaptation of protocol switching instructions and frequency band directional allocation, the conflict between equipment overheating and communication stability is eliminated; finally, through closed-loop control, the continuous optimization of protocol parameters and frequency band constraints is achieved, and a two-way improvement in equipment thermal management efficiency and communication quality is achieved. This method forms a full-link adaptive control from data fusion to protocol closed loop, significantly enhancing the collaborative capabilities of charging pile clusters in complex scenarios.

[0060] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0061] Figure 1A flowchart of a multi-modal charging pile communication protocol self-adaptation method is provided for an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0062] 101. Obtain building layout data and charging pile temperature data, generate a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature density characteristics of the charging pile temperature data, and generate a protocol priority parameter based on the distribution of temperature cluster areas in the communication protocol association map and the call frequency of different communication protocol versions;

[0063] In this step, building layout data refers to a digital description of the building's internal spatial structure. Charging pile temperature data refers to the temperature monitoring values of the charging equipment during operation. Spatial topology refers to the spatial connectivity of various areas within the building. Temperature density characteristics refer to the distribution characteristics of abnormal charging pile temperature clusters. Communication protocol association map refers to a network model that reflects the relationship between temperature distribution and communication protocols. Temperature cluster area refers to the concentrated area of charging piles with abnormally high temperatures. Protocol priority parameter refers to the priority level indicator for different communication protocol versions.

[0064] In an embodiment of the present application, first, the building layout data (including the location coordinates of the charging piles and the physical connection relationship between adjacent devices) and the charging pile temperature data (temperature readings of the surface and internal sensors of each pile body) are collected in real time through the Internet of Things terminal, and the graph database technology is used to model the device position relationship in the building space as a spatial topological relationship network. Secondly, a cluster analysis is performed on the temperature data to identify temperature-intensive characteristic areas with continuously high temperatures, and the distribution of these areas is mapped to the spatial topological network to form a communication protocol association map with the high-temperature area as the core. Next, the call frequency of different communication protocol versions in the high-temperature area is counted, and a weight coefficient is assigned to each protocol based on the frequency ratio, and finally the protocol priority parameters are generated. Finally, the parameters are stored in association with the temperature distribution to provide a basis for the subsequent dynamic adjustment of the communication strategy.

[0065] During the peak energy consumption period at noon at a new energy vehicle charging station, the system obtained the building layout data of buildings A to D in the charging area, including the physical distribution spacing of the charging piles, the direction of the ventilation ducts, and the location of the power well. The synchronously collected charging pile temperature data showed that the temperature of the six DC fast charging piles in the southeast corner of Building B was eight degrees Celsius higher than the surrounding area, forming a significant temperature concentration feature. Based on the spatial topological relationship of the building layout data, the system identified that the charging piles in this area were densely arranged in a ring and were ten meters away from the main ventilation duct, resulting in low heat dissipation efficiency. Combined with the thermal distribution of the temperature data, a communication protocol association map was generated: the temperature concentration area corresponds to charging piles using low-version communication protocols, accounting for 70%, while high-version protocol devices are mostly distributed in low-temperature areas. Based on this, the system calculates the protocol priority parameters and marks the areas where high-version communication protocols need to be upgraded first.

[0066] 102. Based on the protocol priority parameter, in combination with the real-time collected charging pile temperature data, synchronously adjust the transmission frequency of the communication module, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency to obtain the fluctuation range of the protocol priority parameter on the transmission frequency adjustment;

[0067] In this step, transmission frequency refers to the communication module's data transmission rate. Dynamic coupling refers to the relationship between the two parameters. Fluctuation range refers to the range of influence of the protocol priority parameter on the transmission frequency.

[0068] In the embodiment of the present application, first, based on the protocol priority parameters generated in step 101, combined with the real-time collected charging pile temperature data (such as a sudden temperature rise in a certain area), the transmission frequency of the communication module is adjusted through an adaptive algorithm (such as the frequency in the high-temperature area is increased to 2.4GHz). Secondly, a time series model of the change in transmission frequency is established, and the protocol priority parameters (such as the increase in the weight of protocol A) and the adjustment amplitude of the transmission frequency are correlated and analyzed, and the correlation coefficient of the change trends of the two is calculated through a sliding window. Then, based on the correlation coefficient, a fluctuation range is set (such as the frequency adjustment amplitude does not exceed ±15%) to ensure communication stability. Finally, the fluctuation range is written into the control parameter table to provide boundary constraints for protocol scheduling.

[0069] Based on the protocol priority parameters, the system dynamically adjusts the transmission frequency of the charging pile communication modules in the high-temperature area of Building B. When real-time temperature data indicates that the temperature of the charging pile in the southeast corner exceeds 55 degrees Celsius, the protocol priority parameters trigger a transmission frequency reduction mechanism, reducing the original communication frequency from 100 times per second to 70 times per second. Simultaneously, tracking the transmission frequency trend, it was found that the frequency reduction fluctuated negatively with the temperature increase. The dynamic coupling model confirmed that the adjustment range of the protocol priority parameters on the transmission frequency must be controlled within a range of plus or minus 15 times to avoid communication delays and the risk of equipment overload. This fluctuation range is encoded as a dynamically adjusted red line threshold and synchronously updated to the central control system.

[0070] 103. Establish a protocol scheduling rule linked to the communication protocol association map, and perform frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging pile corresponding to the temperature concentration area executes the frequency band that matches the transmission frequency during the communication process;

[0071] In this step, protocol scheduling rules refer to the logical conditions that control the switching of communication protocols. Frequency band adaptation refers to matching the communication protocol with the appropriate frequency band range. The communication bus refers to the communication line connecting multiple charging piles.

[0072] In an embodiment of the present application, first, based on the communication protocol association map of step 101, the protocol scheduling rules are defined (for example, high-bandwidth protocols are preferentially assigned to high-temperature areas). Secondly, in combination with the fluctuation range of step 102, the frequency band matching algorithm is used to screen the protocol type that meets the current transmission frequency (such as the frequency band of 2.4GHz corresponding to protocol A). Then, the frequency band adaptation strategy of the communication bus is dynamically allocated according to the protocol priority parameters (for example, protocol A occupies the main frequency band, and protocol B is downgraded to the backup frequency band). Finally, the adaptation strategy is sent to the charging pile communication module in the temperature concentration area, forcing it to switch to the specified frequency band, and verifying the effectiveness of the adaptation (such as detecting whether the signal strength meets the standard).

[0073] Based on the communication protocol association map and protocol scheduling rules, the system starts the frequency band adaptation program. For the high-temperature concentration area in Building B, the protocol scheduling rules require that low-frequency communication bands with strong anti-interference capabilities be allocated first, while limiting the proportion of high-frequency band usage. The system re-adapts the communication traffic originally scattered in the 2.4 GHz and 5 GHz dual-bands to the 800 MHz low-frequency band dedicated to equipment-intensive areas. The frequency band adaptation process strictly follows the fluctuation range constraints to ensure that the transmission frequency adjustment does not exceed the upper threshold limit, and the communication response time of each charging pile is maintained at the millisecond level to avoid data transmission interruption caused by frequency band switching.

[0074] 104. Generate a protocol switching instruction according to the frequency band adaptation result, and use the protocol switching instruction to directionally allocate the frequency band to the target charging pile in the temperature concentration area;

[0075] In this step, the protocol switching instruction refers to a control command that changes the communication protocol. Frequency band allocation refers to assigning a specific frequency band to a target device. The target charging station refers to the charging device for which the communication protocol needs to be adjusted.

[0076] In this embodiment of the present application, first, a specific protocol switching instruction (e.g., "switch to protocol A frequency band") is generated based on the frequency band adaptation results of step 103. Second, the instruction is directed and pushed to the target charging pile within the temperature concentration area via a message queue, triggering its communication module to execute the protocol switching operation. Next, the switching status is monitored in real time (e.g., receiving an acknowledgment signal or detecting a response delay). If a failure occurs, a retry mechanism is initiated or a switch is made to an alternate frequency band. Finally, the instruction execution log is recorded and the communication status monitoring panel is updated to provide feedback data for closed-loop optimization.

[0077] The system generates a protocol switching command and, through the central controller, pushes frequency band configuration parameters to the target charging pile group in the southeast corner of Building B. During command execution, three charging piles with temperatures exceeding 58 degrees Celsius are prioritized for forced protocol switching. Their communication protocol version is upgraded from the inefficient Modbus to the MQTT protocol, which supports dynamic frequency modulation, and is bound to the 800-MHz dedicated frequency band. The remaining three critical temperature devices enter the queue for switching and are gradually migrated in order of priority parameters based on real-time temperature fluctuations. After the switch is completed, the communication data stream of the target charging pile group forms a direct connection channel with the temperature control system, transmitting status data in real time to the cooling fan control system.

[0078] 105. Based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, cyclically optimize the protocol priority parameters and the constraints of the frequency band adaptation to form a closed-loop communication control.

[0079] In this step, closed-loop communication control refers to the communication management mechanism optimized through feedback loops. Constraints refer to the boundary conditions that limit frequency band adaptation.

[0080] In an embodiment of the present application, first, the update of the charging pile temperature data (such as the temperature in a certain area drops to a safe range) and the execution status of the protocol switching instruction in step 104 (such as the switching success rate and response time) are received in real time. Secondly, the actual effect of the current protocol priority parameters and the frequency band adaptation is analyzed through the feedback control algorithm (for example, whether the calling frequency of protocol A is redundant after the high temperature is relieved). Then, the parameter weights and the constraints of the frequency band adaptation are dynamically adjusted (such as the weight of protocol A is reduced to 50%, and the fluctuation range is expanded to ±20%). Finally, the optimized parameters are re-injected into the process of steps 101 to 104 to form a continuously iterative closed-loop communication control system.

[0081] After the protocol switching command is executed, the system continuously collects updated charging pile temperature data and communication status. Monitoring shows that the overall temperature in the southeast corner of Building B has dropped by four degrees Celsius, but the two innermost charging piles still have local temperature rise anomalies due to aging equipment. The system cyclically optimizes the protocol priority parameters based on new data and strengthens the frequency band adaptation constraints for old equipment: its communication frequency upper limit is compressed ten times and allocated to independent sub-bands. At the same time, the protocol scheduling rules are dynamically adjusted, and a secondary protocol switch is automatically triggered when the temperature rises back to the warning threshold. This closed-loop control mechanism ensures that the communication load and heat dissipation requirements in high-temperature areas are continuously balanced, and the overall communication failure rate of the charging station has dropped by 60%.

[0082] In summary, steps 101 to 105 implement dynamic adaptation and closed-loop optimization control of the multimodal data of the charging pile communication protocol. By integrating the spatial topological relationship of the building layout with the dense characteristics of the charging pile temperature data, the system constructs a communication protocol association map that reflects the distribution of temperature concentration areas. Combined with the priority parameters generated by the frequency of protocol version calls, dynamic coupling adjustment of transmission frequency and protocol scheduling is achieved. The synergy between the frequency band adaptation mechanism and the protocol switching instructions ensures accurate matching of the communication frequency bands of charging piles in high-temperature areas. The closed-loop control module continuously optimizes the protocol priority and frequency band constraints, forming an adaptive communication protocol control system, which significantly improves the communication efficiency and thermal stability of the charging pile cluster in a multimodal environment.

[0083] In order to optimize the protocol scheduling efficiency of charging piles in temperature-concentrated areas by dynamically allocating communication frequency band intervals and establishing a linkage mapping relationship between protocol type and transmission frequency, the frequency band resources are adaptively adjusted based on protocol priority parameters and call frequency, and the transmission frequency offset boundary is synchronously constrained to ensure communication stability. The frequency band interval range adjustment mechanism is triggered by real-time monitoring of dynamic offset to achieve coordinated adaptation of protocol scheduling rules and temperature-related communication scenarios, thereby reducing the load pressure of high-frequency protocol transmission on the communication module, avoiding communication conflicts or performance degradation caused by excessive frequency offset, and ultimately improving the balance of communication resource allocation and the reliability of protocol scheduling in high-density charging scenarios.

[0084] In some embodiments, as described in step 103, establishing a protocol scheduling rule linked to the communication protocol association map, and performing frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging pile corresponding to the temperature concentration area executes the frequency band matching the transmission frequency during the communication process, includes:

[0085] 201. Obtain a protocol priority parameter of a temperature cluster area in the communication protocol association map, and allocate a frequency band interval for each protocol type transmitted by a communication bus in combination with the calling frequency of the protocol type in the protocol priority parameter, wherein the length of the frequency band interval is positively correlated with the calling frequency;

[0086] In step 201, the frequency band refers to the frequency range allocated to the protocol type. Positive correlation means that the frequency band length increases with the increase in call frequency. The mapping relationship refers to the corresponding relationship between the protocol type and the frequency band.

[0087] In an embodiment of the present application, first, the protocol priority parameters (including weight values of different protocol types) of the temperature aggregation area are extracted from the communication protocol association map, and the calling frequency of each protocol type is counted (such as protocol A is called 200 times per hour). Secondly, based on the comprehensive ratio of the calling frequency and the weight value (such as protocol A accounts for 70% of the communication demand), a frequency band interval is allocated to each protocol type through a dynamic allocation algorithm (for example, protocol A is allocated a 2.4-2.5GHz frequency band). Then, the length of the frequency band interval is positively correlated with the calling frequency: the higher the calling frequency, the wider the allocated frequency band interval (such as a high-frequency protocol is allocated a 100MHz bandwidth, and a low-frequency protocol is allocated a 50MHz bandwidth). Finally, the allocation result is written into the frequency band configuration table to provide basic rules for protocol scheduling.

[0088] 202. Establish a mapping relationship between the protocol type and the frequency band interval, and form a protocol scheduling rule linked to the communication protocol association map based on the mapping relationship, wherein the protocol scheduling rule is that when charging piles in the temperature concentration area communicate through a specific connection path, the frequency band interval corresponding to the protocol type is used;

[0089] In step 202, the specific connection path refers to the communication link of the charging pile in the temperature concentration area. The protocol scheduling rule refers to the logical conditions for controlling the use of the frequency band.

[0090] In an embodiment of the present application, first, based on the allocation result of step 201, a mapping relationship table between protocol type and frequency band interval is established (such as protocol A corresponds to 2.4-2.5GHz). Secondly, the mapping table is bound to the temperature aggregation area node in the communication protocol association map to form a protocol scheduling rule (for example, when the charging pile is located in a high temperature area and communicates through a specific physical connection path, the frequency band interval specified in the mapping table is forced to be used). Then, the scheduling rule is sent to the communication control module through the rule engine to ensure that the charging piles in the temperature aggregation area actively adapt to the corresponding frequency band when communicating. Finally, the rule execution effect is verified (such as detecting the success rate of protocol switching), and an alarm is triggered if there is an abnormality.

[0091] 203. Determine the transmission frequency offset boundary allowed for each protocol type according to the fluctuation range of the transmission frequency adjustment corresponding to the protocol priority parameter;

[0092] In step 203, the transmission frequency offset limit refers to the maximum value of the frequency adjustment allowed. The dynamic offset refers to the difference between the real-time frequency and the reference frequency.

[0093] In an embodiment of the present application, first, the transmission frequency adjustment fluctuation range corresponding to each protocol type is extracted from the protocol priority parameter of step 201 (e.g., protocol A allows the frequency to fluctuate within ±10%). Secondly, based on the upper and lower limits of the fluctuation range (e.g., the upper limit of the frequency of protocol A is 2.5 GHz, and the lower limit is 2.3 GHz), the transmission frequency offset boundary of each protocol type is calculated (e.g., the boundary of protocol A is 2.3 GHz to 2.5 GHz). Next, the offset boundary is associated with the protocol type to generate a frequency tolerance table (e.g., the boundary of protocol B is 1.8 GHz to 2.0 GHz). Finally, the tolerance table is synchronized to the communication monitoring module as a basis for determining the real-time frequency offset.

[0094] 204. Monitor the dynamic offset of the transmission frequency of the communication module in the temperature concentration area in real time. If the dynamic offset reaches the transmission frequency offset boundary, adjust the range of the frequency band interval corresponding to the protocol type according to the protocol scheduling rule.

[0095] In step 204, the protocol scheduling rule refers to the logical conditions for adjusting the frequency band range. The frequency band range refers to the upper and lower limits of the available frequencies.

[0096] In an embodiment of the present application, first, the dynamic offset of the transmission frequency of the charging pile in the temperature concentration area is collected in real time through the sensor of the communication module (such as the current frequency of protocol A is 2.45GHz). Secondly, the offset is compared with the transmission frequency offset boundary of step 203: if the offset is close to or exceeds the boundary (such as the frequency of protocol A reaches 2.51GHz), an alarm is triggered. Then, according to the preset protocol scheduling rules (such as allowing dynamic extension of the frequency band interval), the frequency band interval range of the corresponding protocol type is adjusted (such as expanding the frequency band of protocol A from 2.4-2.5GHz to 2.4-2.6GHz). Finally, the frequency band configuration table is updated and re-sent to the communication module to ensure that the subsequent transmission frequency operates within the corrected interval.

[0097] 205. Bind the adjusted frequency band range to the communication module of the charging pile in the temperature concentration area, so that the charging pile only uses the transmission frequency within the frequency band range that matches the protocol type during the communication process.

[0098] In step 205, binding refers to establishing a fixed association between the frequency band and the device. Matching refers to the correspondence between the protocol type and the transmission frequency.

[0099] In an embodiment of the present application, first, according to the frequency band range adjusted in step 204, the new frequency band parameters (such as 2.4-2.6GHz of protocol A) are bound to the communication module of the charging pile in the temperature concentration area through configuration instructions. Secondly, the communication module is forced to use only the frequency within the bound frequency band during data transmission (such as protocol A can only be transmitted within the range of 2.4-2.6GHz). Then, the binding effect is verified in real time (such as detecting the communication success rate and frequency stability). If a mismatch is found (such as a charging pile still using 2.3GHz), a secondary adjustment or alarm is triggered. Finally, the binding result is fed back to the protocol scheduling system to complete the closed-loop control.

[0100] Here's a specific example:

[0101] In the intelligent dispatching system for new energy charging stations, a multi-protocol communication coordination system effectively ensures the safety of vehicle-charging station interactions. When a cluster of charging piles in a high-temperature area forms a temperature concentration zone due to insufficient heat dissipation, the system extracts the call frequency of the CAN bus protocol in that area (step 201), allocates a wide frequency band for the battery status synchronization protocol, and simultaneously allocates a narrow frequency band for the low-priority payment verification protocol. By establishing a mapping between protocol types and frequency bands (step 202), charging piles in high-temperature areas must use a preset stable frequency band when transmitting battery health information. The system also sets the transmission frequency fluctuation thresholds allowed for each protocol (step 203). If real-time monitoring indicates that the communication frequency deviation of a charging pile is approaching a critical value due to a sudden temperature rise (step 204), the system immediately activates a dynamic frequency band expansion mechanism, expanding the battery protocol frequency band to an adjacent unused range. The adjusted frequency band parameters are instantly bound to all surrounding charging piles (step 205), ensuring that vehicles can reliably upload battery expansion coefficient data even when a high-temperature warning is issued. During the handling of a charging spontaneous combustion accident, the system accurately locked onto the communication module with excessive offset, and combined with dynamic frequency band adjustment records, quickly located the battery data leakage problem caused by protocol conflict, providing a spatiotemporal evidence chain of multi-protocol collaborative operation for insurance liability determination, and realizing intelligent closed-loop management from communication anomaly warning to accident responsibility tracing.

[0102] In summary, steps 201 to 205 implement dynamic mapping and flexible scheduling of communication protocols and frequency band resources. By establishing a positive correlation mapping rule between protocol priority parameters and frequency band intervals, the system constructs a dynamic matching framework for protocol types and transmission frequency bands. The setting and real-time monitoring mechanism of the transmission frequency offset boundary breaks through the limitations of traditional fixed frequency band allocation. When the frequency offset of the communication module reaches a critical value, the flexible allocation of communication resources in hot spots is achieved by intelligently expanding or shrinking the frequency band interval range. This technical solution effectively balances the dynamic changes of communication load and temperature concentration areas, ensuring the communication bandwidth guarantee of high-frequency protocol types.

[0103] In some embodiments, as described in step 204, real-time monitoring of the dynamic offset of the transmission frequency of the communication module in the temperature concentration area, if the dynamic offset reaches the transmission frequency offset boundary, adjusting the range of the frequency band interval corresponding to the protocol type according to the protocol scheduling rule includes:

[0104] 301. Collect transmission frequency data of the communication module in the temperature concentration area in real time, and obtain a current transmission frequency dynamic offset according to the transmission frequency data;

[0105] In step 301, the transmission frequency data refers to the real-time frequency sampling value when the communication module is working. The dynamic offset refers to the difference between the current transmission frequency and the reference frequency.

[0106] In an embodiment of the present application, first, the current transmission frequency data (such as 2.45GHz for protocol A and 1.85GHz for protocol B) is collected in real time by deploying a communication module sensor in the temperature concentration area. Secondly, the collected raw data is smoothed, and a sliding window algorithm is used to eliminate instantaneous interference values (such as sudden frequency jitters) to obtain a stable dynamic offset of the transmission frequency (for example, the frequency of protocol A fluctuates from 2.45GHz to 2.47GHz within 1 second). Finally, the processed offset is stored by protocol type and marked with a timestamp to provide input for subsequent comparative analysis.

[0107] 302. Compare the dynamic transmission frequency offset with the transmission frequency offset boundary defined in the protocol scheduling rule to determine whether the dynamic offset reaches or exceeds the offset boundary. When the dynamic offset reaches the offset boundary, calculate the frequency band expansion or contraction amount of the corresponding protocol type based on the mapping relationship between the protocol type and the frequency band interval in the protocol scheduling rule.

[0108] In step 302, the offset boundary refers to the maximum critical value of the allowed frequency fluctuation. The frequency band expansion or contraction amount refers to the amplitude parameter of the frequency range adjustment. The mapping relationship refers to the corresponding rules between the protocol type and the frequency band range.

[0109] In an embodiment of the present application, first, the transmission frequency offset boundary defined for each protocol type is extracted from the protocol scheduling rules (such as the boundary allowed by protocol A is 2.3-2.5GHz). Secondly, the dynamic offset of the transmission frequency calculated in step 301 (such as protocol A is currently 2.51GHz) is compared with the corresponding offset boundary: if the offset exceeds the upper or lower limit (such as 2.51GHz exceeds the upper limit of protocol A of 2.5GHz), it is determined to be out of bounds. Then, according to the mapping relationship between the protocol type and the frequency band interval (such as the original frequency band of protocol A is 2.3-2.5GHz), the amount by which the frequency band interval needs to be expanded is calculated by a linear expansion algorithm (for example, the upper limit of the frequency band of protocol A is expanded by 0.1GHz to 2.6GHz), or the frequency band range is reduced by a contraction algorithm. Finally, the calculation result is converted into a frequency band adjustment instruction, ready to be sent to the protocol scheduling system.

[0110] 303. Adjust the range of the frequency band interval of the protocol type based on the expansion or contraction amount of the frequency band interval to generate a new frequency band interval range.

[0111] In step 303, the frequency band range refers to the upper and lower limits of the frequencies allocated for use by a specific protocol. The new frequency band range refers to the updated frequency usage range after adjustment.

[0112] In an embodiment of the present application, first, based on the frequency band expansion or contraction amount calculated in step 302 (such as the frequency band of protocol A is expanded to 2.3-2.6GHz), the range of the frequency band of the protocol type is adjusted through a dynamic configuration tool. Secondly, the mapping relationship table in the protocol scheduling rules is updated (such as the new frequency band of protocol A replaces the old value), and the new rules are pushed to the communication module through the message queue. Then, the frequency band re-adaptation process of the communication module is triggered (such as the charging pile of protocol A is switched to the 2.3-2.6GHz frequency band), and the frequency stability after adjustment is monitored in real time. Finally, the adjustment log is recorded and fed back to the control center to complete the closed-loop control.

[0113] Here's a specific example:

[0114] In the intelligent communication adaptation system of a commercial complex charging station, a dynamic frequency band adjustment system effectively mitigates communication interference in high-temperature environments. When a ventilation system failure in the charging area of a shopping mall's underground parking lot created a temperature concentration zone, the system collected real-time CAN bus transmission frequencies from the charging piles in that area (step 301). It detected frequency fluctuations in the charging status protocol of the southeast fast-charging pile cluster. The algorithm compared the fluctuation amplitude with the preset offset boundary (step 302) and determined that the frequency offset of three liquid-cooled supercharging devices had reached a safety threshold. The protocol scheduling rules were immediately activated: for the high-priority battery health status transmission protocol, the system calculated that its frequency band needed to be expanded by two channels toward higher frequencies. The system also simultaneously adjusted the payment verification protocol frequency band of the adjacent slow-charging pile cluster (step 303), compressing its frequency band to free up available spectrum space. After implementing the dynamic adjustment, the affected fast-charging pile cluster resumed stable transmission of battery cell expansion coefficient data. The system also reserved a dedicated communication frequency band for the newly connected battery swapping robot in the northwest. During the peak charging period on weekends, the system successfully intercepted seven charging interruption incidents caused by frequency drift. By dynamically recording the frequency band adjustment trajectory, it provided a spatiotemporal distribution heat map of communication quality for subsequent cooling system modifications, achieving closed-loop management from environmental anomaly perception to self-adaptation of communication resources.

[0115] In summary, steps 301 to 303 implement a real-time monitoring and adaptive compensation mechanism for communication frequency offset. By continuously collecting the dynamic offset of the transmission frequency and comparing it with the preset offset boundaries, the system establishes a triggering mechanism for adjusting the protocol frequency band interval. An intelligent calculation model for the frequency band expansion or contraction can generate a precise frequency band range adjustment plan based on the actual offset. This technology breaks through the limitations of traditional fixed frequency band tolerances and forms a dynamic frequency domain compensation method based on real-time communication status feedback, significantly enhancing the anti-interference capability and frequency stability of communication links in high-temperature concentrated areas.

[0116] In some embodiments, in step 101, generating a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature density characteristics of the charging pile temperature data, and generating a protocol priority parameter based on the distribution of temperature cluster areas in the communication protocol association map and the calling frequency of different communication protocol versions includes:

[0117] 401. Extract the location coordinates of the charging piles and the connection relationship between adjacent charging piles from the building layout data to construct a network describing the spatial topological relationship of the charging piles, wherein the spatial topological relationship network uses nodes to represent the locations of the charging piles and lines to represent direct connection paths between adjacent charging piles;

[0118] In step 401, location coordinates refer to the location data of charging piles within the building space. Connection relationships refer to the configuration of communication links between adjacent charging piles. A spatial topological network refers to a graph model describing the connection structure of charging piles. A node refers to a topological element representing a charging pile in the network. A direct connection path refers to a communication link between nodes that does not require transit.

[0119] In the embodiment of the present application, first, the location coordinates (such as latitude and longitude or three-dimensional coordinates) of all charging piles and the physical connection information between adjacent charging piles (such as cable paths or wireless communication links) are extracted from the building layout data. Secondly, using graph database technology, the charging piles are abstracted as nodes, and the adjacent connection relationships are abstracted as lines, to construct a spatial topological relationship network describing the physical distribution of the charging piles and the connection paths. Next, the accuracy of the network structure is verified using visualization tools (such as checking whether nodes are missing or whether lines are misplaced) to ensure that the network fully covers the layout of all charging piles. Finally, the network data is stored in a structured format to provide a basis for subsequent regional analysis.

[0120] 402. Perform regional continuity analysis on the charging pile temperature data, and mark the area where the charging pile temperature data continuously exceeds a set threshold and covers multiple charging piles as a temperature concentration area;

[0121] In step 402, regional continuity analysis refers to a method for identifying a continuous distribution of temperature anomalies. Setting a threshold refers to a critical value for determining temperature anomalies. A temperature cluster area refers to a spatial range where temperature anomalies continuously occur.

[0122] In this embodiment, the charging pile temperature data is first time-series smoothed to eliminate transient noise (such as brief high temperatures falsely reported by sensors). Secondly, a spatial clustering algorithm (such as DBSCAN) is used to analyze the spatial continuity of the temperature data. Areas that continuously exceed a set threshold (such as 60°C) and cover multiple adjacent charging piles (such as five consecutive charging pile temperature exceeding the threshold) are marked as temperature clusters. Next, boundary coordinates (such as polygon vertices) are generated for each temperature cluster and mapped to the charging pile location coordinates. Finally, the labeled results are stored in a regional database for subsequent topological comparison.

[0123] 403. Overlap and compare the distribution of nodes in the spatial topological relationship network with the coverage of the temperature concentration area, extract the nodes and connection paths of the temperature concentration area, and generate a communication protocol association map;

[0124] In step 403, overlap comparison refers to the process of spatially matching the topological network with the temperature region. The communication protocol association map refers to a network model that reflects the relationship between the temperature region and the communication protocol.

[0125] In an embodiment of the present application, first, a spatial overlay analysis is performed on the node distribution in the spatial topological relationship network constructed in step 401 and the coverage of the temperature concentration area marked in step 402. Secondly, the nodes that fall completely or partially within the temperature concentration area and the lines connecting these nodes are extracted through a geographic information system (GIS) tool (such as a high temperature area containing 3 charging piles and 2 connection paths between them). Then, the extracted nodes and lines are classified by region to form a communication protocol association map with the temperature concentration area as an independent unit (such as each high temperature area corresponds to a subgraph). Finally, the integrity of the nodes and lines in the map is verified (such as checking whether the charging piles are missed at the regional boundary) to ensure data consistency.

[0126] 404. Count the number of calls of different communication protocol versions in each temperature aggregation area in the communication protocol association map and the total number of scheduling in each temperature aggregation area, and calculate the ratio of the number of calls of each communication protocol version in the corresponding temperature aggregation area to the total number of calls, and generate a protocol priority parameter, wherein the protocol priority parameter represents the priority of each communication protocol version in the corresponding temperature aggregation area.

[0127] In step 404, the call count refers to the frequency of a specific protocol being used. The total dispatch count refers to the total frequency of all protocols being used. The priority level refers to the recommended level of use of a protocol in a specific area. The protocol priority parameter refers to a numerical indicator that quantifies the priority of a protocol.

[0128] In an embodiment of the present application, first, the historical call records of different communication protocol versions in each temperature aggregation area are extracted from the communication protocol association map (such as protocol A is called 150 times and protocol B is called 50 times). Secondly, the number of calls of each protocol in the corresponding area is counted, and its proportion of the total scheduling times in the area is calculated (such as protocol A accounts for 75%, and protocol B accounts for 25%). Then, a weight coefficient is assigned to each protocol according to the proportion value (such as protocol A weight 0.75, protocol B weight 0.25), and a protocol priority parameter is generated (the higher the value, the higher the priority). Finally, the parameter is bound to the temperature aggregation area and dynamically updated to the protocol scheduling policy library to provide a basis for communication resource allocation.

[0129] Here's a specific example:

[0130] In the intelligent communication adaptation system for charging stations in highway service areas, a spatial topology analysis system precisely optimizes protocol scheduling in high-temperature environments. When persistent summer temperatures caused a superposition of heat radiation from the charging pile cluster in the northern area, the system extracted the layout coordinates of the charging pile matrix (step 401) and constructed a spatial topology network consisting of 48 nodes and 72 connecting lines. Temperature sensors detected that the temperatures of six adjacent fast-charging piles in the southwest area consistently exceeded the specified temperature (step 402), marking this area as an elliptical temperature cluster. The system spatially mapped the topology network nodes to the high-temperature zone (step 403), identifying three trunk connection paths and corresponding Modbus-TCP protocol association maps within this area. Statistics revealed that battery status protocol calls accounted for over 80% of calls in the high-temperature zone (step 404). Based on this, the system prioritized the OCPP1.6 protocol and dynamically allocated wide frequency bands to ensure core data transmission. When the surface temperature surged during midday, the adaptive system detected a new temperature cluster at the charging pile cluster in the northeast area and immediately activated protocol scheduling rules: reducing the frequency band occupied by the adjacent payment protocol and dedicating a dedicated channel for the security monitoring protocol in the temperature-sensitive area. During a lightning strike, the system quickly located damaged nodes based on topological associations, cut off high-temperature risk links, and ensured emergency charging services through protocol priority reorganization, achieving closed-loop optimization from spatial thermal perception to dynamic allocation of communication resources.

[0131] In summary, steps 401 to 404 implement protocol association modeling of spatial topology and thermal characteristics. By constructing a spatial relationship network of charging piles and analyzing the overlap between temperature cluster areas, the system reveals the inherent correlation between building layout and equipment thermal distribution. A protocol priority parameter generation algorithm based on call frequency statistics establishes a quantitative association model between protocol version selection and regional thermal characteristics. This technical solution transforms physical spatial distribution into a communication protocol scheduling strategy, achieving a deep coupling of protocol resource allocation and the thermal characteristics of device clusters, providing a multi-dimensional decision-making basis for intelligent scheduling.

[0132] In some embodiments, as described in step 102, adjusting the transmission frequency of the communication module based on the protocol priority parameter in combination with the real-time collected charging pile temperature data, and dynamically coupling the protocol priority parameter with the change trend of the transmission frequency to obtain the fluctuation range of the protocol priority parameter on the transmission frequency adjustment includes:

[0133] 501. Calculate an adjustment amount for the transmission frequency of the communication module according to the call frequency corresponding to each communication protocol version in the protocol priority parameter;

[0134] In step 501, the protocol priority parameter refers to the priority level indicator of different communication protocol versions. The call frequency refers to the number of times a specific communication protocol is used. The transmission frequency adjustment value refers to the value by which the operating frequency of the communication module needs to be changed.

[0135] In an embodiment of the present application, first, the call frequency corresponding to each communication protocol version is extracted from the stored protocol priority parameters (e.g., protocol A is called 200 times per hour), and the call frequency is converted into a baseline adjustment amount through a proportional conversion algorithm (e.g., for every 100 increases in call frequency, the transmission frequency increases by 0.1GHz). Secondly, the baseline adjustment amount is weighted according to the weight value of the protocol priority parameter (e.g., protocol A weight 0.8), and the actual transmission frequency adjustment amount is calculated (e.g., protocol A adjustment amount = 0.1GHz × 0.8 = 0.08GHz). Next, the adjustment amount is stored by protocol type to provide input for dynamically associated temperature data.

[0136] 502. Collect the temperature change rate of the charging pile temperature data in the temperature concentration area in real time, and dynamically associate the temperature change rate with the adjustment amount of the transmission frequency to generate a real-time influence coefficient of the temperature change rate on the transmission frequency;

[0137] In step 502, the temperature change rate refers to how quickly the charging station temperature changes over time. Dynamic correlation refers to establishing a real-time relationship between temperature change and frequency adjustment. The real-time impact coefficient refers to the immediate effect of temperature change on frequency adjustment.

[0138] In the embodiment of the present application, first, the temperature change rate of the charging pile in the temperature concentration area is collected in real time by a temperature sensor (e.g., the temperature rises by 0.5°C per minute), and the adjustment amount of the transmission frequency in step 501 is simultaneously obtained (e.g., the adjustment amount of protocol A is 0.08GHz). Secondly, a dynamic correlation model between the temperature rate and the adjustment amount is established: when the temperature growth rate exceeds the threshold, the adjustment amount is proportionally amplified (e.g., for every 0.1°C / minute increase in the rate, the adjustment amount increases by 5%), and a real-time impact coefficient is generated (e.g., the protocol A coefficient = 1.2). Then, the coefficient is bound to the protocol type for use in subsequent correction processes.

[0139] 503. Modify the adjustment amount of the transmission frequency based on the real-time impact coefficient to obtain a modified transmission frequency value, and feed the modified transmission frequency value back to the calling frequency of the corresponding communication protocol version in the protocol priority parameter;

[0140] In step 503, the modified transmission frequency value refers to the final frequency setting value after considering the temperature effect. Feedback refers to the process of returning the adjustment result to the priority parameter. Call frequency refers to the number of times a specific communication protocol is used.

[0141] In this embodiment of the present application, first, based on the real-time impact coefficient of step 502 (e.g., a coefficient of 1.2 for protocol A), the transmission frequency adjustment value of step 501 is corrected (e.g., 0.08 GHz × 1.2 = 0.096 GHz), resulting in a corrected transmission frequency value. Second, the corrected value is fed back to the protocol priority parameter call frequency calculation module, dynamically updating the protocol version call frequency (e.g., adjusting the protocol A frequency from 200 times / hour to 210 times / hour). Next, the updated frequency is reinjected into the adjustment calculation process of step 501, forming a closed-loop feedback loop.

[0142] 504. Count the maximum offset and the minimum offset of the modified transmission frequency value within the preset time window to obtain the changing trend of the transmission frequency. Based on the changing trend of the protocol priority parameter and the transmission frequency, generate the fluctuation range of the protocol priority parameter for adjusting the transmission frequency.

[0143] In step 504, the preset time window refers to a fixed statistical time period. The maximum offset refers to the peak value of positive frequency fluctuations. The minimum offset refers to the valley value of negative frequency fluctuations. The change trend refers to the development direction of frequency fluctuations. The fluctuation range refers to the upper and lower limits of the frequency adjustment allowed.

[0144] In this embodiment, the corrected transmission frequency values from step 503 are first counted within a preset time window, and their maximum and minimum offsets are extracted to generate a transmission frequency fluctuation range. Secondly, based on the weight trend of the protocol priority parameters (e.g., a continuous decrease in the weight of a particular protocol), a dynamic interval algorithm is used to correlate the fluctuation range with the protocol priority, and the upper and lower limits of the fluctuation range are calculated. Finally, the fluctuation range is written into the protocol scheduling rule base and serves as a boundary constraint for subsequent communication module frequency adjustments, completing closed-loop control.

[0145] Here's a specific example:

[0146] In the communication adaptation system of the smart hospital's underground charging station, a dynamic frequency tuning system precisely ensures the safety of medical emergency charging. When the system detects a temperature concentration zone within the emergency area's charging piles due to high equipment load, it calculates that the transmission frequency of the emergency vehicle priority charging protocol needs to be increased to 1.2 times its baseline value based on the invocation frequency of the emergency vehicle priority charging protocol (step 501). The real-time temperature monitoring module detects the abnormal minute-by-minute temperature increase at the northwest corner charging pile (step 502) and dynamically correlates this to generate a real-time impact coefficient for the temperature change on the charging status protocol. The system immediately activates a correction mechanism (step 503), adjusting the transmission frequency of the emergency protocol back to a safe threshold and feeding the corrected frequency parameters back to the protocol scheduling core, thereby increasing the priority of the medical equipment charging protocol. Continuous monitoring reveals that the corrected frequency value exhibits periodic fluctuations during the morning rush hour (step 504). Based on this, the system establishes a frequency fluctuation safety margin for the emergency protocol and simultaneously widens the tolerance range for the standard charging protocol. During a hospital-wide power outage emergency drill, the system optimized the protocol frequency bands for all emergency charging stations through dynamic tuning within 90 seconds. The ambulance charging protocol remained stable within a safe fluctuation range, while the standard charging protocol automatically reduced its frequency to free up bandwidth. The drill data further optimized the temperature impact coefficient model, enabling the system to successfully prevent charging interruptions for 23 medical devices during the subsequent rainy season, establishing a closed-loop management mechanism from real-time parameter adjustment to long-term fluctuation prediction.

[0147] In summary, steps 501 to 504 implement dynamic optimization and closed-loop control of the communication module's transmission frequency. A real-time feedback mechanism is established through collaborative analysis of protocol call frequency and temperature change rate, effectively improving data transmission stability and energy efficiency management accuracy. The system deeply integrates protocol priority parameters with temperature sensor data, using a dynamic correlation model to accurately quantify the impact of environmental factors on communication quality, and ensures that the frequency adjustment amount always adapts to actual operating conditions through a closed-loop correction strategy. At the same time, the adaptive threshold control mechanism constructed based on the transmission frequency fluctuation trend enhances the system's ability to suppress multi-protocol scheduling conflicts and external interference, ensuring the efficient allocation of communication resources and enhancing the reliability of equipment operation in high-temperature scenarios. This provides a communication optimization solution with environmental awareness for smart charging facilities.

[0148] In some embodiments, in step 104, generating a protocol switching instruction based on the frequency band adaptation result, and directionally allocating the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction includes:

[0149] 601. Based on the load range of the frequency band and the spatial boundary of the temperature concentration area in the frequency band adaptation result, establish a mapping relationship between the frequency band and the target charging pile in the temperature concentration area;

[0150] In step 601, the load range refers to the range of communication capacity that a frequency band can carry. The spatial boundary refers to the geographical extent of the temperature concentration area. The mapping relationship refers to the correspondence between frequency bands and target charging stations. The target charging station refers to the specific device that requires frequency band adjustment.

[0151] In this embodiment of the present application, first, based on the load range of the frequency band in the frequency band adaptation result generated in step 205 (such as the maximum number of concurrent connections corresponding to 2.4-2.5GHz), combined with the spatial boundary coordinates of the temperature concentration area (such as the longitude and latitude of the polygon vertices), a mapping relationship between the frequency band and the target charging piles in the area is established using spatial database technology (such as binding frequency band A to charging piles numbered 1-5). Second, the mapping relationship is written into the communication routing table to provide a basis for path planning. Finally, it is verified that all charging piles in the mapping relationship are online and the protocol type matches. If any anomalies are found, an alarm is triggered.

[0152] 602. Traverse the communication nodes in the building layout data according to the mapping relationship, select the communication nodes that have spatial overlap with the temperature concentration area and whose protocol priority parameters are higher than the set value, and form a directional transmission path by connecting the communication nodes in series;

[0153] In step 602, communication nodes refer to network connection points within the building layout. Spatial overlap refers to the geographic overlap between nodes and temperature zones. Setpoints refer to critical parameters used to determine node priority. Directed transmission paths refer to communication links established specifically for temperature zones.

[0154] In the embodiment of the present application, first, according to the mapping relationship of step 601, all communication nodes in the building layout data (such as charging piles and relay devices) are traversed, and nodes that overlap with the temperature concentration area are screened out through the regional superposition algorithm (such as node coordinates falling within the high-temperature polygon). Secondly, nodes whose protocol priority parameters are higher than the set value (such as weight ≥ 0.7) are further extracted from the screening results, and the communication nodes are connected in series through the path planning algorithm (such as shortest path first) to form a directional transmission path (such as node A → node B → node C). Finally, the path information is synchronized to the routing controller to complete the path configuration.

[0155] 603. When the fluctuation range corresponding to the frequency band adaptation result reaches a critical threshold set by the protocol scheduling rule, triggering the generation of a protocol switching instruction, wherein the triggering condition is achieved by detecting whether the real-time transmission frequency of consecutive communication nodes in the directional transmission path falls within the load range of the protocol frequency band;

[0156] In step 603, the critical threshold refers to the boundary condition that triggers protocol switching. The protocol frequency band refers to the frequency range allocated to a specific protocol. The load range refers to the communication capacity range that the frequency band can carry.

[0157] In an embodiment of the present application, first, the frequency band fluctuation range in the frequency band adaptation result of step 205 is monitored in real time to see if it reaches the critical threshold set by the protocol scheduling rule (such as the frequency upper limit exceeds 2.6GHz). Secondly, when the threshold is triggered, by detecting the real-time transmission frequency of each continuous communication node in the directional transmission path (such as the frequency of node A is 2.55GHz), it is determined whether it is within the load range of the corresponding protocol frequency band (such as the load range of protocol A is 2.4-2.6GHz). Then, if all nodes on the path meet the conditions, a protocol switching instruction is generated; if any node fails, it rolls back to the original protocol. Finally, the instruction is pushed to the protocol control module for execution.

[0158] 604. Lock the communication nodes in the directional transmission path through the protocol switching instruction, and transmit the communication nodes to the target charging piles in the temperature concentration area in sequence according to the arrangement order of the communication nodes in the directional transmission path.

[0159] In step 604, locking refers to fixing the connection status of the communication node. The arrangement order refers to the connection order of the nodes in the path. The target charging station refers to the specific device that needs to adjust the frequency band.

[0160] In the embodiment of the present application, first, through the protocol switching instruction of step 603, each node is locked one by one and the instruction is issued according to the order of communication nodes recorded in the directional transmission path (such as node A → node B → node C). Secondly, after receiving the instruction, the node switches to the new protocol frequency band and feeds back a confirmation signal. If the node does not respond, the node is skipped or the path reselection is triggered. Then, when all nodes are switched, the communication status of the target charging pile is verified (such as detecting the data transmission rate and packet loss rate). Finally, the switching log is recorded and the communication routing table is updated to form a closed-loop control link.

[0161] Here's a specific example:

[0162] In the intelligent communication adaptation system of the underground charging stations at the convention and exhibition center, a directional protocol transmission system effectively mitigates communication congestion caused by localized high temperatures. When a ring-shaped temperature concentration formed in the southern fast-charging area due to the dense density of equipment, the system established a mapping between the charging piles in this area and the anti-interference frequency band (step 601), dedicating the adjusted wide frequency band to the battery thermal management protocol. By scanning 300 communication nodes within the building layout (step 602), twelve charging pile nodes located in the core high-temperature area with the highest protocol priority were selected and connected in series to form a star-shaped transmission path running from southeast to northwest. When the transmission frequencies of three consecutive nodes on this path reached the frequency band load threshold (step 603), the system immediately triggered a protocol switching mechanism: it locked the charging pile sequence in the path and switched to the emergency communication frequency band in order of spatial arrangement. During the switch, the first charging pile at the leading node first activated the anti-interference protocol to transmit battery cell temperature data, followed by adjacent nodes along the transmission path that relayed activation of the new frequency band. During a particular exhibition, this mechanism enabled the system to complete protocol switching for all nodes in the high-temperature zone within five minutes, successfully preventing overheating shutdowns of seven fast-charging piles due to communication delays. During the switching process, the frequency band adaptation trajectory of each node is recorded synchronously to provide thermal-communication coupling data for the optimization of the venue's air-conditioning system, forming a closed-loop management system from spatial path planning to dynamic protocol switching.

[0163] In summary, steps 601 to 604 achieve the targeted transmission and precise execution of protocol switching instructions. By establishing a spatial mapping relationship between frequency bands and temperature concentration areas, the system achieves intelligent screening of communication nodes and optimized construction of transmission paths. The critical threshold trigger mechanism, combined with the serial control of communication nodes, ensures the precise spatiotemporal positioning of protocol switching instructions. This technical solution deeply integrates frequency band allocation with building spatial layout, forming a three-dimensional protocol switching execution system, significantly improving the timeliness and reliability of communication protocol switching for charging piles in high-temperature areas.

[0164] In some embodiments, as described in step 105, based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, cyclically optimizing the protocol priority parameters and the frequency band adaptation constraints to form a closed-loop communication control includes:

[0165] 701. Continuously receive real-time charging pile temperature data within a temperature concentration area, and generate a temperature change trend based on the temperature change amplitude and duration of the real-time charging pile temperature data;

[0166] In step 701, real-time charging pile temperature data refers to the continuous temperature monitoring values of the charging equipment during operation. Temperature variation refers to the difference in temperature fluctuation per unit time. Duration refers to the duration of the abnormal temperature state. Temperature variation trend refers to the combined characteristics of the direction and rate of temperature change.

[0167] In the embodiment of the present application, first, the real-time charging pile temperature data of the charging piles in the temperature concentration area is continuously received through the Internet of Things sensor, and the data is filtered to eliminate transient noise. Secondly, a sliding window algorithm is used to calculate the amplitude of the temperature change (such as a temperature increase of 5°C within 10 minutes) and the duration (such as a high temperature lasting 30 minutes). The temperature change trend (such as "the temperature continues to rise" or "the high temperature tends to stabilize") is generated through time series analysis. Then, the trend is marked as a key indicator (such as the trend intensity level) and stored in the historical database to provide input for subsequent correlation analysis.

[0168] 702. Monitor the execution status of the protocol switching instruction, obtain frequency band usage data of the target charging pile, and compare the frequency band usage data with the frequency band interval required in the protocol switching instruction to generate a frequency band adaptation execution deviation;

[0169] In step 702, the execution status refers to the progress of the protocol switching instruction. Frequency band usage data refers to the frequency range actually used by the charging station. The frequency band interval refers to the frequency range specified in the protocol switching instruction. The frequency band adaptation execution deviation refers to the degree of difference between the actual frequency band usage and the instruction requirements.

[0170] In an embodiment of the present application, first, the execution status of the protocol switching instruction issued in step 604 is monitored (such as whether the instruction is successful and the response delay time), and the frequency band usage data of the target charging pile is collected (such as the actual frequency band used is 2.5GHz). Secondly, the actual frequency band data is compared with the frequency band interval required by the instruction (such as 2.4-2.6GHz), and the difference percentage between the two is calculated (such as the deviation between the actual frequency band and the center of the interval is 5%), and the frequency band adaptation execution deviation is generated (such as deviation = 5%). Then, the deviation is classified by protocol type, and abnormal values are marked (such as the deviation exceeds 10%), triggering an alarm or optimizing the process.

[0171] 703. Correlate the temperature change trend with the execution deviation, adjust the call weights of different protocol versions in the protocol priority parameter according to the correlation result, and generate an optimized protocol priority parameter;

[0172] In step 703, association refers to establishing a corresponding relationship between the temperature trend and the execution deviation. The call weight refers to the priority coefficient of different protocol versions in scheduling. The optimized protocol priority parameter refers to the adjusted protocol priority index.

[0173] In the embodiment of the present application, first, the temperature change trend of step 701 (such as "temperature continues to rise") and the execution deviation of step 702 (such as the deviation of protocol A of 8%) are correlated and analyzed, and the temperature impact factor is calculated through a weighted model (such as high temperature causes the deviation of protocol A to increase by a weight of 0.7). Secondly, the call weights of different protocol versions in the protocol priority parameters are dynamically adjusted according to the correlation results (such as the weight of protocol A is reduced from 0.8 to 0.7, and the weight of protocol B is increased from 0.5 to 0.6). Then, the optimized parameters are re-injected into the protocol scheduling rule base, and the priority configuration is updated to ensure that subsequent scheduling is more in line with actual temperature changes.

[0174] 704. Recalculate the matching relationship between the protocol type and the frequency band interval based on the optimized protocol priority parameter and the current frequency band adaptation constraint to update the frequency band adaptation constraint.

[0175] In step 704, the constraint condition refers to the boundary rules that limit frequency band adaptation. The matching relationship refers to the corresponding rules between protocol types and frequency band ranges. The update refers to the process of recalculating the adaptation condition based on the new parameters.

[0176] In the embodiment of the present application, first, based on the optimized protocol priority parameters of step 703 (such as a weight of 0.7 for protocol A), combined with the constraints of the current frequency band adaptation (such as a load limit of 2.6GHz for protocol A band), the matching relationship between the protocol type and the frequency band interval is recalculated through a dynamic programming algorithm. Secondly, the frequency band interval length is adjusted according to the priority weight (such as shrinking the frequency band of protocol A from 2.4-2.6GHz to 2.4-2.55GHz), and the constraints are updated (such as reducing the load capacity of protocol A by 20%). Then, the new matching relationship is synchronized to the protocol scheduling rule base, overwriting the old configuration, to ensure that the latest parameters are used in the subsequent adaptation process.

[0177] 705. Based on the updated constraints, the frequency band adaptation process is re-triggered, a new protocol switching instruction is generated and sent to the target charging pile, forming a cyclic optimization of closed-loop communication control.

[0178] In step 705, closed-loop communication control refers to a communication management mechanism optimized through a feedback loop. Loop optimization refers to the process of improving system performance through iteration. The new protocol switching instruction refers to the updated frequency band adjustment command.

[0179] In the embodiment of the present application, first, according to the updated constraint conditions of step 704 (such as the frequency band of protocol A 2.4-2.55GHz), the frequency band adaptation process is re-triggered, and a new protocol switching instruction (such as "Protocol A switches to 2.4-2.55GHz") is generated by the protocol scheduling engine. Secondly, the instruction is sent to the target charging pile through the message queue to force its communication module to operate according to the new frequency band. Then, the execution effect of the instruction is monitored in real time (such as detecting the success rate of frequency band switching and communication stability). If an abnormality is found, it is rolled back to the previous version. Finally, the execution result is fed back to the data acquisition end of step 701, forming a continuously iterative closed-loop communication control optimization cycle.

[0180] Here's a specific example:

[0181] In the communication adaptation system of a smart charging station in a coastal port, a dynamic closed-loop optimization system effectively copes with the complex salt fog and high-temperature environment. The system continuously monitors temperature fluctuations in the charging pile cluster in the container loading and unloading area (step 701) and discovers that the southeast charging cabinets are experiencing a sustained temperature increase due to obstruction from the sea breeze. After executing the protocol switch command, the system detects that the emergency frequency band usage of three gantry crane charging piles deviates from the preset range (step 702), generating a high-band adaptation deviation alert. The algorithm spatially and temporally correlates the temperature rise curve with the deviation data (step 703), automatically increasing the call priority of the battery corrosion monitoring protocol and reducing the priority of the settlement protocol. Based on the optimized protocol parameters (step 704), the system recalculates that the security protocol requires exclusive high-band bandwidth and compresses the available frequency band for the data backhaul protocol. The updated adaptation rules immediately trigger a new round of frequency band allocation (step 705), dynamically creating a dedicated anti-interference channel for the charging piles in the core salt fog area. During a typhoon, the system completed three closed-loop optimizations within eight hours: the first optimized to address sudden temperature fluctuations caused by sudden rainfall, the second adjusted to address frequency band drift caused by salt spray crystallization, and the final stabilization phase rebalanced protocol weights to account for backflowing moisture. By recording the frequency band switching trajectory of each optimization round, the system successfully prevented charging interruptions for 19 high-value cold chain transport vehicles and provided communication-environment coupling data for port power grid renovation, forming an intelligent communication ecosystem that evolves from real-time perception to autonomous evolution.

[0182] In summary, steps 701 to 705 achieve continuous evolution and closed-loop optimization of the communication protocol's self-adaptation. By real-time monitoring of temperature trends and protocol execution deviations, the system establishes a dynamic correlation model for parameter optimization and constraint updates. The recalculation mechanism for protocol priority parameters and the iterative update of frequency band adaptation rules form a self-learning closed-loop control system. This technical solution overcomes the limitations of traditional static control strategies, enabling the communication protocol scheduling system to autonomously adapt to environmental changes and execution deviations, and building a self-optimizing intelligent communication control ecosystem.

[0183] Figure 2 The present invention provides a schematic diagram of a multi-modal charging pile communication protocol self-adaptive system. Figure 2 As shown, the system includes:

[0184] An acquisition module 21 is configured to acquire building layout data and charging pile temperature data, generate a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature density characteristics of the charging pile temperature data, and generate a protocol priority parameter based on the distribution of temperature cluster areas in the communication protocol association map and the call frequency of different communication protocol versions;

[0185] A coupling module 22 is configured to synchronously adjust the transmission frequency of the communication module based on the protocol priority parameter and the real-time collected charging pile temperature data, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency to obtain a fluctuation range of the transmission frequency adjustment by the protocol priority parameter;

[0186] Establishing module 23, for establishing a protocol scheduling rule linked to the communication protocol association map, and performing frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging pile corresponding to the temperature concentration area executes the frequency band that matches the transmission frequency during the communication process;

[0187] An allocation module 24 is configured to generate a protocol switching instruction according to the frequency band adaptation result, and allocate the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction;

[0188] The optimization module 25 is used to cyclically optimize the protocol priority parameters and the constraints of the frequency band adaptation based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction to form a closed-loop communication control.

[0189] Figure 2 The multi-modal charging pile communication protocol self-adaptive system can execute Figure 1 The implementation principle and technical effects of the multimodal charging pile communication protocol self-adaptation method described in the illustrated embodiment will not be repeated here. The specific manner in which each module and unit performs operations in the multimodal charging pile communication protocol self-adaptation system in the above embodiment has been described in detail in the embodiment of the method and will not be elaborated here.

[0190] In one possible design, Figure 2 A multi-modal charging pile communication protocol self-adaptive system of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0191] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0192] The processing component 32 is used for the above Figure 1 The embodiment provides a multi-modal charging pile communication protocol self-adaptation method.

[0193] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above method.

[0194] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0195] Of course, a computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0196] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0197] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0198] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0199] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 A multi-modal charging pile communication protocol self-adaptation method according to the illustrated embodiment.

[0200] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0201] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0202] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0203] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A multi-modal charging pile communication protocol self-adaptation method, characterized in that: include: Obtaining building layout data and charging pile temperature data, generating a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature-intensive characteristics of the charging pile temperature data, and generating a protocol priority parameter based on the distribution of temperature-intensive areas in the communication protocol association map and the call frequency of different communication protocol versions; Based on the protocol priority parameter, the transmission frequency of the communication module is synchronously adjusted in combination with the real-time collected charging pile temperature data, and the protocol priority parameter is dynamically coupled with the change trend of the transmission frequency to obtain the fluctuation range of the transmission frequency adjustment by the protocol priority parameter; Establishing a protocol scheduling rule linked to the communication protocol association map, and performing frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging piles corresponding to the temperature concentration area execute the frequency band that matches the transmission frequency during the communication process; Generate a protocol switching instruction according to the frequency band adaptation result, and allocate the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction; Based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, the protocol priority parameters and the constraints of the frequency band adaptation are cyclically optimized to form a closed-loop communication control.

2. The method according to claim 1, characterized in that Establishing a protocol scheduling rule linked to the communication protocol association map, and performing frequency band adaptation on the protocol type transmitted by the communication bus based on the protocol scheduling rule and in combination with the fluctuation range, so that the charging pile corresponding to the temperature concentration area executes the frequency band matching the transmission frequency during the communication process, including: Obtaining a protocol priority parameter of a temperature cluster area in the communication protocol association map, and assigning a frequency band interval to the protocol type transmitted by each communication bus in combination with the calling frequency of the protocol type in the protocol priority parameter, wherein the length of the frequency band interval is positively correlated with the calling frequency; Establishing a mapping relationship between the protocol type and the frequency band interval, and forming a protocol scheduling rule linked to the communication protocol association map based on the mapping relationship, wherein the protocol scheduling rule is to use the frequency band interval corresponding to the protocol type when the charging piles in the temperature concentration area communicate through a specific connection path; Determining the transmission frequency offset boundary allowed for each protocol type according to the fluctuation range of the transmission frequency adjustment corresponding to the protocol priority parameter; Real-time monitoring of a dynamic offset corresponding to the transmission frequency of the communication module in the temperature concentration area, and if the dynamic offset reaches the transmission frequency offset boundary, adjusting the range of the frequency band interval corresponding to the protocol type according to the protocol scheduling rule; The adjusted frequency band range is bound to the communication module of the charging pile in the temperature concentration area, so that the charging pile only uses the transmission frequency within the frequency band range that matches the protocol type during the communication process.

3. The method according to claim 2, characterized in that If the dynamic offset reaches the transmission frequency offset boundary, adjusting the range of the frequency band interval corresponding to the protocol type according to the protocol scheduling rule includes: Comparing the dynamic offset of the transmission frequency with the transmission frequency offset boundary defined in the protocol scheduling rule to determine whether the dynamic offset reaches or exceeds the offset boundary, and if the dynamic offset reaches the offset boundary, calculating the expansion or contraction amount of the frequency band interval corresponding to the protocol type according to the mapping relationship between the protocol type and the frequency band interval in the protocol scheduling rule; The range of the frequency band interval of the protocol type is adjusted based on the expansion or contraction amount of the frequency band interval to generate a new frequency band interval range.

4. The method according to claim 1, wherein A communication protocol association map is generated based on the spatial topological relationship of the building layout data and the temperature density characteristics of the charging pile temperature data, and a protocol priority parameter is generated based on the distribution of temperature cluster areas in the communication protocol association map and the calling frequency of different communication protocol versions, including: Extracting the location coordinates of charging piles and the connection relationships between adjacent charging piles from the building layout data to construct a network describing the spatial topological relationship of the charging piles, wherein the spatial topological relationship network uses nodes to represent the locations of charging piles and lines to represent the direct connection paths between adjacent charging piles; Performing regional continuity analysis on the charging pile temperature data, marking areas where the charging pile temperature data continuously exceeds a set threshold and covers multiple charging piles as temperature concentration areas; Overlapping and comparing the distribution of nodes in the spatial topological relationship network with the coverage of the temperature concentration area, extracting the nodes and connection paths in the temperature concentration area to generate a communication protocol association map; The number of calls of different communication protocol versions in each temperature aggregation area in the communication protocol association map and the total number of scheduling in each temperature aggregation area are counted, and a protocol priority parameter is generated based on the number of calls and the total number of scheduling. The protocol priority parameter represents the priority of each communication protocol version in the corresponding temperature aggregation area.

5. The method according to claim 1, wherein Based on the protocol priority parameter, the transmission frequency of the communication module is synchronously adjusted in combination with the real-time collected charging pile temperature data, and the protocol priority parameter is dynamically coupled with the change trend of the transmission frequency to obtain the fluctuation range of the protocol priority parameter on the transmission frequency adjustment, including: Calculating an adjustment amount for the transmission frequency of the communication module according to the call frequency corresponding to each communication protocol version in the protocol priority parameter; Real-time collection of the temperature change rate of the charging pile temperature data within the temperature concentration area, and dynamic association of the temperature change rate with the adjustment amount of the transmission frequency to generate a real-time influence coefficient of the temperature change rate on the transmission frequency; Correcting the adjustment amount of the transmission frequency based on the real-time impact coefficient to obtain a corrected transmission frequency value, and feeding the corrected transmission frequency value back to the calling frequency of the corresponding communication protocol version in the protocol priority parameter; The maximum offset and the minimum offset of the modified transmission frequency value within the preset time window are counted to obtain the changing trend of the transmission frequency. Based on the changing trend of the protocol priority parameter and the transmission frequency, the fluctuation range of the transmission frequency adjustment by the protocol priority parameter is generated.

6. The method according to claim 1, wherein Generating a protocol switching instruction according to the frequency band adaptation result, and allocating the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction, including: Based on the load range of the frequency band and the spatial boundary of the temperature concentration area in the frequency band adaptation result, a mapping relationship between the frequency band and the target charging pile in the temperature concentration area is established; Traversing the communication nodes in the building layout data according to the mapping relationship, screening out the communication nodes that have spatial overlap with the temperature concentration area and whose protocol priority parameters are higher than a set value, and forming a directional transmission path by connecting the communication nodes in series; When the fluctuation range corresponding to the frequency band adaptation result reaches the critical threshold set by the protocol scheduling rule, a protocol switching instruction is triggered to be generated, wherein the triggering condition is achieved by detecting whether the real-time transmission frequency of the continuous communication nodes in the directional transmission path falls within the load range of the protocol frequency band; The communication nodes in the directional transmission path are locked by the protocol switching instruction, and are transmitted to the target charging piles in the temperature concentration area in sequence according to the arrangement order of the communication nodes in the directional transmission path.

7. The method according to claim 1, wherein Based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, the protocol priority parameters and the constraints of the frequency band adaptation are cyclically optimized to form a closed-loop communication control, including: Continuously receiving real-time charging pile temperature data within the temperature concentration area, and generating a temperature change trend based on the temperature change amplitude and duration of the real-time charging pile temperature data; Monitoring the execution status of the protocol switching instruction, obtaining frequency band usage data of the target charging pile, and comparing the frequency band usage data with the frequency band interval required in the protocol switching instruction to generate a frequency band adaptation execution deviation; Correlating the temperature change trend with the execution deviation, adjusting the call weights of different protocol versions in the protocol priority parameter according to the correlation result, and generating an optimized protocol priority parameter; Recalculating the matching relationship between the protocol type and the frequency band interval according to the optimized protocol priority parameter and the current frequency band adaptation constraint to update the frequency band adaptation constraint; Based on the updated constraints, the frequency band adaptation process is re-triggered, a new protocol switching instruction is generated and sent to the target charging pile, forming a cyclic optimization of closed-loop communication control.

8. A multi-modal charging pile communication protocol self-adaptive system, characterized in that: include: An acquisition module is configured to acquire building layout data and charging pile temperature data, generate a communication protocol association map based on the spatial topological relationship of the building layout data and the temperature-intensive characteristics of the charging pile temperature data, and generate a protocol priority parameter based on the distribution of temperature-intensive areas in the communication protocol association map and the call frequency of different communication protocol versions; A coupling module is configured to synchronously adjust the transmission frequency of the communication module based on the protocol priority parameter in combination with the real-time collected charging pile temperature data, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency to obtain a fluctuation range of the transmission frequency adjustment by the protocol priority parameter; An establishment module is used to establish a protocol scheduling rule linked to the communication protocol association map, and based on the protocol scheduling rule and in combination with the fluctuation range, the frequency band of the protocol type transmitted by the communication bus is adapted so that the charging pile corresponding to the temperature concentration area executes the frequency band that matches the transmission frequency during the communication process; An allocation module, configured to generate a protocol switching instruction according to the frequency band adaptation result, and allocate the frequency band to the target charging pile in the temperature concentration area through the protocol switching instruction; An optimization module is used to cyclically optimize the protocol priority parameters and the constraints of the frequency band adaptation based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction to form a closed-loop communication control.

9. A computing device, characterized in that It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a multimodal charging pile communication protocol self-adaptation method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that A computer program is stored, and when the computer program is executed by a computer, a multimodal charging pile communication protocol self-adaptation method as described in any one of claims 1 to 7 is implemented.

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