Multi-mode charging pile communication protocol self-adaption method and system

Abstract

The invention provides a multi-mode charging pile communication protocol self-adaption method and system. Wherein a communication protocol association map is generated based on the spatial topology of the building layout and the temperature dense characteristics of the charging piles, and protocol priority parameters are generated in combination with the temperature aggregation area distribution and the protocol calling frequency. The transmission frequency, the coupling parameters and the frequency change trend are dynamically adjusted through the real-time temperature data to determine the fluctuation range. And establishing a protocol scheduling rule, and performing frequency band adaptation on the communication bus protocol based on the fluctuation range, so that the charging pile in the temperature aggregation area executes the matched frequency band. And a protocol switching instruction is generated, a frequency band is directionally distributed to the target charging pile, and according to temperature data updating and instruction state loop optimization priority parameters and frequency band constraints, closed-loop control is formed. According to the technical scheme provided by the invention, closed-loop optimization of a charging pile communication protocol is realized, and the transmission efficiency and stability of a temperature aggregation area are improved.

Description

Technical Field

[0001] This application relates to the technical field of communication protocol self - adaptation, and particularly to a multi - modal charging pile communication protocol self - adaptation method and system. Background Art

[0002] In a charging pile cluster in a high - density commercial complex, due to the heterogeneity of communication protocols of different brands of charging piles, the dynamic change of charging load, and the superposition of high - temperature risks during equipment operation, it is necessary to realize the collaborative optimization of dynamic self - adaptation of multi - modal communication protocols and thermal management. The core requirements include: the charging pile cluster needs to autonomously identify and match different protocol interfaces to ensure real - time data interaction; at the same time, it is necessary to dynamically adjust the charging power and heat dissipation strategy according to the equipment temperature, environmental status, and load conditions to balance the charging efficiency and equipment safety.

[0003] Currently, a targeted solution adopts a protocol conversion framework based on a centralized communication gateway, combined with a dynamic polling mechanism. The gateway is built - in with a multi - protocol conversion module, which parses the characteristics of charging pile communication messages through a pre - set protocol library to complete protocol identification and data format conversion; at the same time, it polls the status of each charging pile based on a fixed - time window, combines the feedback of temperature sensors, and triggers power limit or heat dissipation control instructions according to pre - set thresholds. This solution realizes the initial protocol adaptation and thermal management linkage through software - hardware collaboration.

[0004] However, the dynamic polling mechanism of this solution has problems of insufficient real - time performance in high - density cluster scenarios. The fixed - time window is likely to cause protocol identification delay and thermal state feedback lag, affecting the response speed in high - concurrency scenarios; secondly, the protocol library relies on manually predefined rules and lacks the adaptive ability to new protocols or dynamic updates of protocols, which is prone to protocol mis - matching; in addition, the thermal management strategy and protocol adaptation logic are not deeply coupled, and only power adjustment is triggered through thresholds, making it difficult to achieve multi - objective collaborative optimization and possibly causing local overload or waste of heat dissipation resources. Summary of the Invention

[0005] This 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] Obtain building layout data and charging pile temperature data, generate a communication protocol association graph based on the spatial topological relationship of the building layout data and the temperature density characteristics of the charging pile temperature data, and generate protocol priority parameters according to the distribution of temperature aggregation regions in the communication protocol association graph, in combination with the call frequencies of different communication protocol versions; Based on the protocol priority parameters, synchronously adjust the transmission frequency of the communication module in combination with the temperature data of the charging pile collected in real time, and dynamically couple the protocol priority parameters with the change trend of the transmission frequency to obtain the fluctuation range of the protocol priority parameters for adjusting the transmission frequency; Establish a protocol scheduling rule linked to the communication protocol association map. Based on the protocol scheduling rule and in combination with the fluctuation range, perform frequency band adaptation on the protocol types transmitted by the communication bus, so that the charging piles corresponding to the temperature aggregation area execute the frequency bands matching the transmission frequency during communication; Generate a protocol switching instruction according to the frequency band adaptation result, and direct the assignment of the frequency band to the target charging pile within the temperature aggregation 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, circularly optimize the constraint conditions of the protocol priority parameters and the frequency band adaptation to form a closed-loop communication control.

[0007] Optionally, establishing a protocol scheduling rule linked to the communication protocol association map. Based on the protocol scheduling rule and in combination with the fluctuation range, perform frequency band adaptation on the protocol types transmitted by the communication bus, so that the charging piles corresponding to the temperature aggregation area execute the frequency bands matching the transmission frequency during communication, includes: Obtain the protocol priority parameters of the temperature aggregation area in the communication protocol association map, and in combination with the call frequency of the protocol types in the protocol priority parameters, allocate frequency band intervals for each protocol type transmitted by the communication bus. The length of the frequency band interval is positively correlated with the call frequency; 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 according to the mapping relationship. The protocol scheduling rule is that when the charging piles in the temperature aggregation area communicate through a specific connection path, use the frequency band interval corresponding to the protocol type; Determine the allowable transmission frequency offset boundary for each protocol type according to the fluctuation range of the transmission frequency adjustment corresponding to the protocol priority parameters; Real-time monitor the dynamic offset of the transmission frequency of the communication module in the temperature aggregation area. 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; Bind the adjusted range of the frequency band interval to the communication module of the charging pile in the temperature aggregation area, so that the charging pile only uses the transmission frequency matching the protocol type within the range of the frequency band interval during communication.

[0008] Optionally, if the dynamic offset reaches the transmission frequency offset boundary, adjust the range of the frequency band interval of the corresponding protocol type according to the protocol scheduling rule, including: Compare 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. When the dynamic offset reaches the offset boundary, calculate the expansion or contraction amount of the frequency band interval of the corresponding protocol type according to the mapping relationship between the protocol type and the frequency band interval in the protocol scheduling rule; 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 range of the frequency band interval.

[0009] Optionally, generate a communication protocol association map based on the spatial topology relationship of the building layout data and the temperature density feature of the charging pile temperature data, and generate protocol priority parameters according to the distribution of the temperature aggregation areas in the communication protocol association map, combined with the call frequencies of different communication protocol versions, including: Extract the position coordinates of the charging piles in the building layout data and the connection relationship between adjacent charging piles to construct a network describing the spatial topology relationship of the charging piles. The spatial topology relationship network represents the charging pile positions with nodes and the direct connection paths between adjacent charging piles with lines; Conduct regional continuity analysis on the charging pile temperature data, and mark the area where the charging pile temperature data continuously exceeds the set threshold and covers multiple charging piles as the temperature aggregation area; Overlap and compare the distribution of the nodes in the spatial topology relationship network with the coverage range of the temperature aggregation area, and extract the nodes and connection paths of the temperature aggregation area to generate a communication protocol association map; Count the call times of different communication protocol versions in each temperature aggregation area in the communication protocol association map and the total scheduling times in each temperature aggregation area, and generate protocol priority parameters according to the call times and the total scheduling times. The protocol priority parameters represent the priority degree of each communication protocol version in the corresponding temperature aggregation area.

[0010] Optionally, based on the protocol priority parameters, synchronously adjust the transmission frequency of the communication module in combination with the real-time collected charging pile temperature data, and dynamically couple the protocol priority parameters with the change trend of the transmission frequency to obtain the fluctuation range of the protocol priority parameters for the transmission frequency adjustment, including: Calculate the adjustment amount of the transmission frequency of the communication module according to the call frequencies corresponding to each communication protocol version in the protocol priority parameters; Collect the temperature change rate of the charging pile temperature data in the temperature aggregation 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; Based on the real-time influence coefficient, correct the adjustment amount of the transmission frequency to obtain a corrected transmission frequency value, and feedback the corrected transmission frequency value to the call frequency of the corresponding communication protocol version in the protocol priority parameter; Statistically calculate the maximum offset and the minimum offset of the corrected transmission frequency value within a preset time window to obtain the change trend of the transmission frequency. Based on the protocol priority parameter and the change trend of the transmission frequency, generate the fluctuation range of the protocol priority parameter for the transmission frequency adjustment.

[0011] Optionally, generate a protocol switching instruction according to the frequency band adaptation result, and directionally allocate the frequency band to the target charging pile in the temperature aggregation area through the protocol switching instruction, including: Based on the load range of the frequency band in the frequency band adaptation result and the spatial boundary of the temperature aggregation area, establish a mapping relationship between the frequency band and the target charging pile in the temperature aggregation area; Traverse the communication nodes in the building layout data according to the mapping relationship, filter out the communication nodes that have a spatial overlap with the temperature aggregation area and the protocol priority parameter is higher than the set value, and form 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, trigger the generation of a protocol switching instruction, where 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; Lock the communication nodes in the directional transmission path through the protocol switching instruction, and sequentially transmit them to the target charging pile in the temperature aggregation area according to the arrangement order of the communication nodes in the directional transmission path.

[0012] Optionally, based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, circularly optimize the constraint conditions of the protocol priority parameter and the frequency band adaptation to form a closed-loop communication control, including: Continuously receive the real-time charging pile temperature data in the temperature aggregation area, and generate a temperature change trend according to the temperature change amplitude and duration of the real-time charging pile temperature data; Monitor the execution status of the protocol switching instruction, and obtain the frequency band usage data of the target charging pile. 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 degree; Associating the temperature change trend with the execution deviation, adjusting the call weights of different protocol versions in the protocol priority parameter according to the association 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 condition to update the frequency band adaptation constraint condition; The frequency band adaptation process is re-triggered based on the updated constraints, and a new protocol switching instruction is generated and sent to the target charging pile, forming a cyclic optimization of closed-loop communication control.

[0013] In a second aspect, the present application provides a multi-modal charging pile communication protocol self-adaptation system, including: An acquisition module is used 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 concentration areas in the communication protocol association map and the calling frequency of different communication protocol versions; A coupling module, configured to synchronously adjust the transmission frequency of the communication module based on the protocol priority parameter and the charging pile temperature data collected in real time, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency to obtain the fluctuation range of the transmission frequency adjusted by the protocol priority parameter; Establishing a module 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 matching 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; The optimization module is used to cyclically optimize the constraint conditions of the protocol priority parameters and 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.

[0014] 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 multi-modal charging pile communication protocol self-adaptation method as described in the first aspect above.

[0015] Fourthly, an embodiment of the present application provides a computer storage medium storing a computer program, which when executed by a computer, implements a multi-modal charging pile communication protocol self-adaptation method as described in the first aspect.

[0016] The present 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 density characteristics of the charging pile temperature data, and generates protocol priority parameters according to the distribution of temperature aggregation regions in the communication protocol association map, combined with the call frequencies of different communication protocol versions. It can fuse the spatial topological structure and temperature dynamic characteristics to construct a multi-dimensional association model for protocol scheduling, optimizing the pertinence of communication resource allocation; by synchronously adjusting the transmission frequency of the communication module based on the protocol priority parameters, combined with the charging pile temperature data collected in real time, and dynamically coupling the change trend of the protocol priority parameters with the transmission frequency, to obtain the fluctuation range of the protocol priority parameters for adjusting the transmission frequency, it can realize the dynamic feedback control of the priority parameters and real-time temperature data, improving the communication anti-interference ability; by 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 combined with the fluctuation range, enabling the charging piles corresponding to the temperature aggregation region to execute the frequency band matching the transmission frequency during communication, it can reduce the signal conflict probability through the 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 directing the allocation of the frequency band to the target charging piles within the temperature aggregation region through the protocol switching instruction, it can realize the directional optimization of communication resources in high-load areas, enhancing the utilization efficiency of channel resources; by continuously updating the charging pile temperature data and the execution status of the protocol switching instruction, and cyclically optimizing the constraint conditions of the protocol priority parameters and the frequency band adaptation to form a closed-loop communication control, it can continuously suppress communication delay and data packet loss rate through a dynamic closed-loop mechanism, ensuring the stability and real-time performance of the charging pile cluster communication.

[0017] Furthermore, by dynamically allocating frequency band intervals based on protocol priority parameters and call frequencies, precise matching between high-frequency protocol types and wide-bandwidth resources is achieved, significantly improving the utilization efficiency of the communication bus bandwidth. The scheduling rules constructed based on the mapping relationship between protocol types and frequency band intervals enable a strong coupling between the communication paths and protocol frequency bands of charging piles within the temperature aggregation area, effectively suppressing signal crosstalk during multi-protocol parallel transmission. Through the dynamic definition of the transmission frequency offset boundary and the real-time offset monitoring mechanism, adaptive adjustment of the frequency band interval range can be triggered when the communication frequency fluctuates beyond the safety threshold, ensuring communication stability in high-load areas. Combining the adjusted frequency band interval with the binding mechanism of the communication module forces the charging pile to execute protocol transmission within the matching frequency band, which not only reduces the probability of cross-frequency band signal conflicts but also enhances the communication anti-interference ability through the dynamic adaptation of frequency band resources and temperature hotspots. The finally formed closed-loop feedback control system realizes the elastic expansion and contraction of communication resource allocation and the self-healing maintenance of channel quality in temperature-sensitive scenarios through the coordinated optimization of protocol priority parameters, frequency band range, and transmission frequency, comprehensively improving the robustness and response real-time performance of the charging pile cluster communication system.

[0018] These aspects or other aspects of the present application will be more clearly understood in the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 Shows a flowchart of a multi-modal charging pile communication protocol self-adaptation method provided by the present application; Figure 2 Shows a schematic structural diagram of a multi-modal charging pile communication protocol self-adaptation system provided by the present application; Figure 3 Shows a schematic structural diagram of a computing device provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions 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.

[0022] In some of the processes described in the specification, claims, and the above-mentioned drawings of this application, there are multiple operations that appear in a specific order. However, it should be clearly understood that these operations may not be executed in the order in which they appear herein or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any order of execution. Additionally, 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 such as "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent a sequence, and do not limit that "first" and "second" are of different types.

[0023] Researchers found that the existing charging pile group control communication protocol scheduling relies on fixed frequency band allocation or single temperature threshold control, making it difficult to dynamically adapt to the communication requirements of building space layouts and temperature-intensive areas, resulting in protocol switching delays, local frequency band congestion, and risks of equipment overheating. Based on this, a method for dynamically optimizing and closed-loop controlling the charging pile communication protocol is provided. This method can achieve dynamic collaborative adaptation of communication frequency bands and equipment thermal environments through in-depth coupled modeling of temperature characteristics and protocol maps. The technical solution of this application is applicable to scenarios such as communication optimization of high-density charging pile clusters, thermal management of smart grid equipment, and multi-protocol collaborative scheduling.

[0024] The entire R & D process reflects a dynamic closed-loop optimization mechanism of temperature characteristic-driven and protocol scheduling, aiming to overcome the defects of static protocol scheduling, lagging temperature response, and rigid frequency band allocation in existing solutions. Through the dynamic mapping of the communication protocol association map and the temperature aggregation area, 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 reduced communication efficiency caused by local frequency band resource competition in high-density charging scenarios is solved; by combining the precise adaptation of protocol switching instructions and frequency band directional allocation, the conflict between equipment overheating and communication stability is eliminated; finally, through continuous optimization of protocol parameters and frequency band constraints by closed-loop control, the two-way improvement of equipment thermal management efficiency and communication quality is achieved. This method realizes full-link adaptive regulation from data fusion to protocol closed-loop formation, significantly enhancing the collaborative ability of charging pile clusters in complex scenarios.

[0025] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of this application.

[0026] 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: 101. 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 concentration areas in the communication protocol association map and the calling frequency of different communication protocol versions; In this step, building layout data refers to the digital description of the internal spatial structure of the building. Charging pile temperature data refers to the temperature monitoring value of the charging equipment during operation. Spatial topological relationship refers to the spatial connection mode of various areas inside the building. Temperature density characteristics refer to the distribution characteristics of abnormal temperature clustering of charging piles. Communication protocol association map refers to the network model that reflects the relationship between temperature distribution and communication protocol. Temperature cluster area refers to the concentrated range of charging piles with abnormally high temperature. Protocol priority parameter refers to the priority level indicator of different communication protocol versions.

[0027] In the embodiment of the present application, first, the building layout data (including the location coordinates of the charging pile and the physical connection relationship between the adjacent equipment) 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 equipment position relationship in the building space is modeled as a spatial topological relationship network using graph database technology. 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.

[0028] 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 charging piles, the direction of ventilation ducts and the location of power wells. 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 density feature. Based on the spatial topological relationship of the building layout data, the system identified that the charging piles in the 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 temperature data, a communication protocol association map is 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.

[0029] 102. Based on the protocol priority parameter, synchronously adjust the transmission frequency of the communication module in combination with the temperature data of the charging pile collected in real time, 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 for the adjustment of the transmission frequency; In this step, the transmission frequency refers to the rate parameter of data transmission of the communication module. Dynamic coupling refers to the correlation relationship of mutual influence between two parameters. The fluctuation range refers to the influence interval of the protocol priority parameter on the transmission frequency.

[0030] In the embodiment of the present application, first, according to the protocol priority parameter generated in step 101, in combination with the temperature data of the charging pile collected in real time (such as a sudden rise in temperature 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 2.4 GHz). Secondly, establish a time series model of the change of the transmission frequency, conduct correlation analysis on the protocol priority parameter (such as the weight of protocol A increases) and the adjustment range of the transmission frequency, and calculate the correlation coefficient of the change trends of the two through a sliding window. Then, set the fluctuation range based on the correlation coefficient (such as the frequency adjustment range does not exceed ±15%) to ensure communication stability. Finally, write the fluctuation range into the control parameter table to provide boundary constraints for protocol scheduling.

[0031] According to the protocol priority parameter, the system dynamically adjusts the transmission frequency of the communication module of the charging piles in the high-temperature area of Building B. When the real-time temperature data monitors that the temperature of the charging pile in the southeast corner exceeds 55 degrees Celsius, the protocol priority parameter triggers the transmission frequency downward adjustment mechanism, reducing the original communication frequency from 100 times per second to 70 times per second. At the same time, track the change trend of the transmission frequency, and find that the frequency decrease is negatively correlated with the temperature increase. The dynamic coupling model confirms that the adjustment range of the protocol priority parameter for the transmission frequency needs to be controlled within the range of plus or minus 15 times to avoid the risks of communication delay and equipment overload. This fluctuation range is encoded as the red line threshold for dynamic adjustment and is synchronously updated to the central control system.

[0032] 103. Establish a protocol scheduling rule linked to the communication protocol association map, and perform frequency band adaptation on the protocol types 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 aggregation area execute the frequency bands matching the transmission frequency during communication; In this step, the protocol scheduling rule refers to the logical condition for controlling the switching of communication protocols. Frequency band adaptation refers to matching a suitable frequency band range for the communication protocol. The communication bus refers to the communication line connecting multiple charging piles.

[0033] In the embodiments of the present application, first, based on the communication protocol association graph in step 101, protocol scheduling rules are defined (for example, high-bandwidth protocols are preferentially allocated in high-temperature areas). Secondly, in combination with the fluctuation range in step 102, the protocol types that meet the current transmission frequency are screened through a frequency band matching algorithm (such as the frequency band corresponding to protocol A for 2.4 GHz). Then, according to the protocol priority parameters, the frequency band adaptation strategy of the communication bus is dynamically allocated (for example, protocol A occupies the main frequency band, and protocol B is downgraded to the standby frequency band). Finally, the adaptation strategy is sent to the charging pile communication module in the temperature aggregation 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).

[0034] Based on the communication protocol association graph and protocol scheduling rules, the system starts the frequency band adaptation program. For the high-temperature aggregation area of Building B, the protocol scheduling rules require preferentially allocating low-frequency communication frequency bands with strong anti-interference capabilities and restricting the usage ratio of high-frequency bands at the same time. The system re-adapts the original communication traffic scattered in the dual frequency bands of 2.4 GHz and 5 GHz to the 800 MHz low-frequency band dedicated to the equipment-intensive area. This frequency band adaptation process strictly follows the fluctuation range constraint to ensure that the transmission frequency adjustment does not exceed the threshold upper limit, and the communication response time of each charging pile is maintained at the millisecond level, avoiding data transmission interruption caused by frequency band switching.

[0035] 104. Generate a protocol switching instruction according to the frequency band adaptation result, and direct the allocation of the frequency band to the target charging pile in the temperature aggregation area through the protocol switching instruction; In this step, the protocol switching instruction refers to the control command for changing the communication protocol. The frequency band directed allocation refers to designating a specific frequency band for the target device to use. The target charging pile refers to the charging device that needs to adjust the communication protocol.

[0036] In the embodiments of the present application, first, according to the frequency band adaptation result in step 103, a specific protocol switching instruction is generated (such as "switch to the frequency band of protocol A"). Secondly, the instruction is pushed to the target charging pile in the temperature aggregation area through the message queue, triggering its communication module to perform the protocol switching operation. Then, the switching state is monitored in real time (such as receiving a confirmation signal or detecting the response delay). If it fails, the retry mechanism is started or switched to the standby 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.

[0037] The system generates a protocol switching instruction and pushes the frequency band configuration parameters to the target charging pile group in the southeast corner of Building B through the central controller. During the execution of the instruction, three charging piles with temperatures exceeding 58 degrees Celsius are preferentially forced to switch protocols. Their communication protocol version is upgraded from the inefficient Modbus to the MQTT protocol that supports dynamic frequency modulation and is bound to the exclusive frequency band of 800 MHz. The remaining three devices with critical temperatures enter the waiting queue for switching and are gradually migrated according to the priority parameter sequence based on the real-time temperature fluctuations. After the switching is completed, the communication data stream of the target charging pile group forms a direct connection channel with the temperature control system, and the status data is transmitted to the cooling fan control system in real time.

[0038] 105. Based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, the constraint conditions for the adaptation of the protocol priority parameters and the frequency band are cyclically optimized to form a closed-loop communication control.

[0039] In this step, the closed-loop communication control refers to a communication management mechanism optimized through a feedback loop. The constraint conditions refer to the boundary conditions that limit the frequency band adaptation.

[0040] In the embodiment of this application, first, the update of the charging pile temperature data in real time (such as the temperature in a certain area drops to the safe range) and the execution status of the protocol switching instruction in step 104 (such as the switching success rate, response time) are received. Secondly, the actual effects of the current protocol priority parameters and frequency band adaptation are analyzed through a feedback control algorithm (for example, whether the call frequency of protocol A is redundant after the high temperature is alleviated). Then, the parameter weights and the constraint conditions for 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 processes of steps 101 to 104 to form a continuously iterative closed-loop communication control system.

[0041] After the protocol switching instruction is executed, the system continuously collects the updated charging pile temperature data and communication status. The monitoring shows that the overall temperature in the southeast corner area of Building B has dropped by 4 degrees Celsius, but there are still local abnormal temperature rises in the two innermost charging piles due to equipment aging. The system cyclically optimizes the protocol priority parameters based on the new data and strengthens the constraint conditions for the frequency band adaptation of the old equipment: further compress the upper limit of its communication frequency by ten times and allocate it to an independent sub-frequency band. At the same time, the protocol scheduling rules are dynamically adjusted to automatically trigger a secondary protocol switch when the temperature rises to the warning threshold. This closed-loop control mechanism continuously balances the communication load and heat dissipation requirements in the high-temperature area, and the overall communication failure rate of the charging station drops by 60%.

[0042] In summary, steps 101 to 105 achieve the dynamic adaptation and closed-loop optimization control of multimodal data for the charging pile communication protocol. By integrating the spatial topological relationship of the building layout and the dense characteristics of the charging pile temperature data, the system constructs a communication protocol association map reflecting the distribution of temperature aggregation areas. Combining with the priority parameters generated by the protocol version call frequency, the dynamic coupling adjustment of the transmission frequency and protocol scheduling is realized. The synergistic effect of the frequency band adaptation mechanism and the protocol switching instruction ensures the accurate matching of the communication frequency band of the charging piles in the high-temperature area. The closed-loop control module continuously optimizes the protocol priority and frequency band constraint conditions, forming an adaptive communication protocol regulation system, which significantly improves the communication efficiency and thermal stability of the charging pile cluster in the multimodal environment.

[0043] In order to optimize the protocol scheduling efficiency of the charging piles in the temperature aggregation area by dynamically allocating the communication frequency band interval and establishing the linkage mapping relationship between the protocol type and the transmission frequency, adaptively adjust the frequency band resources based on the protocol priority parameters and call frequency, synchronously constrain the transmission frequency offset boundary to ensure communication stability, and combine the real-time monitoring of the dynamic offset to trigger the frequency band interval range adjustment mechanism, so as to realize the collaborative adaptation of the protocol scheduling rule and the temperature-related communication scenario, thereby reducing the load pressure of the high-frequency protocol transmission on the communication module, avoiding communication conflicts or performance degradation caused by excessive frequency offset, and finally improving the balance of communication resource allocation and the reliability of protocol scheduling in the high-density charging scenario.

[0044] 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 piles corresponding to the temperature aggregation area execute the frequency band matching the transmission frequency during the communication process, includes: 201. Obtain the protocol priority parameters of the temperature aggregation area in the communication protocol association map, and allocate a frequency band interval for each protocol type transmitted by the communication bus in combination with the call frequency of the protocol type in the protocol priority parameters, and the length of the frequency band interval is positively correlated with the call frequency; In step 201, the frequency band interval refers to the frequency range allocated to the protocol type. Positively correlated means that the frequency band length increases with the increase of the call frequency. The mapping relationship refers to the corresponding relationship between the protocol type and the frequency band interval.

[0045] In the embodiments of the present application, first, protocol priority parameters (including weight values of different protocol types) of the temperature aggregation area are extracted from the communication protocol association graph, and the call frequencies of each protocol type are counted (for example, protocol A is called 200 times per hour). Secondly, according to the comprehensive ratio of the call frequency and the weight value (for example, protocol A accounts for 70% of the communication requirements), a frequency band interval is allocated to each protocol type through a dynamic allocation algorithm (for example, protocol A is allocated the frequency band of 2.4 - 2.5 GHz). Then, the length of the frequency band interval is positively correlated with the call frequency: the higher the call frequency, the wider the allocated frequency band interval (for example, a high-frequency protocol is allocated a 100 MHz bandwidth, and a low-frequency protocol is allocated a 50 MHz bandwidth). Finally, the allocation result is written into the frequency band configuration table to provide a basic rule for protocol scheduling.

[0046] 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 graph according to the mapping relationship. The protocol scheduling rule is that when a charging pile in the temperature aggregation area communicates through a specific connection path, the frequency band interval corresponding to the protocol type is used; In step 202, the specific connection path refers to the communication link of the charging pile in the temperature aggregation area. The protocol scheduling rule refers to the logical condition for controlling the use of the frequency band.

[0047] In the embodiments of the present application, first, based on the allocation result of step 201, a mapping relationship table between the protocol type and the frequency band interval is established (for example, protocol A corresponds to 2.4 - 2.5 GHz). Secondly, the mapping table is bound to the temperature aggregation area node in the communication protocol association graph 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 forcibly used). Then, the scheduling rule is sent to the communication control module through the rule engine to ensure that the charging pile in the temperature aggregation area actively adapts to the corresponding frequency band during communication. Finally, the execution effect of the rule is verified (such as detecting the protocol switching success rate), and if it is abnormal, an alarm is triggered.

[0048] 203. Determine the allowable transmission frequency offset boundary for each protocol type according to the fluctuation range of the transmission frequency adjusted corresponding to the protocol priority parameter; In step 203, the transmission frequency offset boundary refers to the maximum allowable frequency adjustment value. The dynamic offset refers to the difference between the real-time frequency and the reference frequency.

[0049] In the embodiments of the present application, first, extract the transmission frequency adjustment fluctuation range corresponding to each protocol type from the protocol priority parameters in step 201 (for example, protocol A allows the frequency to fluctuate within ±10%). Secondly, calculate the transmission frequency offset boundary for each protocol type according to the upper and lower limits of the fluctuation range (for example, the upper frequency limit of protocol A is 2.5 GHz and the lower limit is 2.3 GHz) (for example, the boundary of protocol A is from 2.3 GHz to 2.5 GHz). Then, associate the offset boundary with the protocol type to generate a frequency tolerance table (for example, the boundary of protocol B is from 1.8 GHz to 2.0 GHz). Finally, synchronize the tolerance table to the communication monitoring module as the determination benchmark for real-time frequency offset.

[0050] 204. Real-time monitor the dynamic offset of the transmission frequency of the communication module in the temperature aggregation area. If the dynamic offset reaches the transmission frequency offset boundary, adjust the range of the frequency band interval of the corresponding protocol type according to the protocol scheduling rule. In step 204, the protocol scheduling rule refers to the logical condition for adjusting the frequency band range. The frequency band interval range refers to the upper and lower limits of the available frequencies.

[0051] In the embodiments of the present application, first, collect the dynamic offset of the transmission frequency of the charging pile in the temperature aggregation area in real time through the sensor of the communication module (for example, the current frequency of protocol A is 2.45 GHz). Secondly, compare the offset with the transmission frequency offset boundary in step 203: if the offset is close to or exceeds the boundary (for example, the frequency of protocol A reaches 2.51 GHz), trigger an alarm. Then, adjust the range of the frequency band interval of the corresponding protocol type according to the preset protocol scheduling rule (for example, allowing dynamic expansion of the frequency band interval) (for example, expand the frequency band of protocol A from 2.4 - 2.5 GHz to 2.4 - 2.6 GHz). Finally, update the frequency band configuration table and reissue it to the communication module to ensure that the subsequent transmission frequency operates within the corrected interval.

[0052] 205. Bind the adjusted range of the frequency band interval to the communication module of the charging pile in the temperature aggregation area, so that the charging pile only uses the transmission frequency matching the protocol type within the range of the frequency band interval during communication.

[0053] In step 205, "bind" means to establish a fixed association between the frequency band range and the device. "Match" means the corresponding relationship between the protocol type and the transmission frequency.

[0054] In the embodiments of the present application, first, according to the adjusted frequency band range in step 204, new frequency band parameters (such as 2.4 - 2.6 GHz of Protocol A) are bound to the communication module of the charging pile within the temperature aggregation area through a configuration instruction. Secondly, the communication module is forced to use only the frequencies within the bound frequency band during data transmission (for example, Protocol A can only transmit within the range of 2.4 - 2.6 GHz). 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 certain charging pile still using 2.3 GHz), secondary adjustment or an alarm is triggered. Finally, the binding result is fed back to the protocol scheduling system to complete the closed-loop control.

[0055] The following is a specific example: In the intelligent scheduling system of new energy charging stations, the multi-protocol communication coordination system effectively ensures the safety of vehicle-pile interaction. When a temperature aggregation area is formed due to insufficient heat dissipation in a charging pile group in a high-temperature area, the system extracts the call frequency of the CAN bus protocol in this area (step 201), allocates a wide frequency band range for the battery status synchronization protocol, and at the same time allocates a narrow frequency band for the low-priority payment verification protocol. By establishing the mapping relationship between protocol types and frequency bands (step 202), it is stipulated that the charging piles in the high-temperature area must use the preset stable frequency band when transmitting battery health information. The system synchronously sets the allowable transmission frequency fluctuation threshold for each protocol (step 203). When it is detected in real time that the communication frequency of a certain charging pile deviates close to the critical value due to a sudden temperature rise (step 204), the frequency band dynamic expansion mechanism is immediately started, and the battery protocol frequency band is widened to the adjacent idle interval. The adjusted frequency band parameters are immediately bound to all surrounding charging piles (step 205) to ensure that vehicles can still stably upload battery expansion coefficient data in the high-temperature warning state. During the disposal of a certain charging and spontaneous combustion accident, the system accurately locates the communication module with excessive deviation, combines the dynamic frequency band adjustment records, quickly locates the problem of battery data missing transmission caused by protocol conflicts, provides a space-time evidence chain of multi-protocol collaborative operation for insurance liability determination, and realizes intelligent closed-loop management from communication anomaly warning to accident liability tracing.

[0056] To sum up, steps 201 to 205 realize the 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 ranges, the system constructs a dynamic matching framework between protocol types and transmission frequency bands. The setting and real-time monitoring mechanism of the transmission frequency offset boundary break through the limitations of traditional fixed frequency band allocation. When the communication module frequency offset reaches the critical value, by intelligently expanding or contracting the frequency band range, the flexible allocation of communication resources in hot spots is realized. This technical solution effectively balances the dynamic changes of communication load and temperature aggregation area, and ensures the communication bandwidth guarantee of high-frequency usage protocol types.

[0057] 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 of the corresponding protocol type according to the protocol scheduling rule includes: 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; 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.

[0058] In the 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 the communication module sensor in the temperature concentration area. Secondly, the collected raw data is smoothed, and the sliding window algorithm is used to eliminate the instantaneous interference value (such as sudden frequency jitter) 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.

[0059] 302. Compare 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. When the dynamic offset reaches the offset boundary, calculate 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. In step 302, the offset boundary refers to the maximum critical value of the allowed frequency fluctuation. The frequency band interval expansion or contraction amount refers to the amplitude parameter of the frequency range adjustment. The mapping relationship refers to the corresponding rule between the protocol type and the frequency band range.

[0060] 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, 2.5GHz), it is determined to be out of bounds. Next, 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 of expansion of the frequency band interval to be 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.

[0061] 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, and generate a new frequency band interval range.

[0062] In step 303, the frequency band interval range refers to the upper and lower limits of the frequency allocated for a specific protocol to use. The new frequency band interval range refers to the updated frequency usage range after adjustment.

[0063] In the embodiment of the present application, first, based on the expansion or contraction amount of the frequency band interval calculated in step 302 (such as expanding the frequency band of protocol A to 2.3 - 2.6 GHz), adjust the range of the frequency band interval of the protocol type through a dynamic configuration tool. Secondly, update the mapping relation table in the protocol scheduling rule (such as replacing the old value with the new frequency band interval of protocol A), and push the new rule to the communication module through a message queue. Then, trigger the frequency band re - adaptation process of the communication module (such as switching the charging pile of protocol A to the 2.3 - 2.6 GHz frequency band), and monitor the frequency stability after adjustment in real time. Finally, record the adjustment log and feedback it to the control center to complete the closed - loop control.

[0064] The following is a specific example: In the intelligent communication adaptation system of a commercial complex charging station, the dynamic frequency band adjustment system can effectively cope with communication interference in high - temperature environments. When a temperature - aggregation area is formed in the charging area of the underground parking lot of the mall due to a ventilation system failure, the system collects the CAN - bus transmission frequency of the charging piles in this area in real time (step 301), and detects that the charging - status protocol of the fast - charging pile group on the southeast side has frequency fluctuations. The algorithm compares the fluctuation amplitude with the preset offset boundary (step 302), and finds that the frequency offsets of three liquid - cooled super - charging devices have reached the safety threshold, and immediately activates the protocol scheduling rule: for the high - priority battery - health - transmission protocol, calculate that its frequency band needs to be expanded by two channel bandwidths in the high - frequency direction. The system synchronously adjusts the frequency band of the payment - verification protocol of adjacent slow - charging piles (step 303), compresses its frequency band to release available spectrum space. After the dynamic adjustment, the affected fast - charging pile group resumes stable transmission of the cell - expansion - coefficient data, and at the same time, the system reserves a dedicated communication frequency band for the newly connected battery - swapping robot on the northwest side. During the weekend charging peak period, the system successfully intercepts seven charging - interruption accidents caused by frequency drift, and through dynamically recording the frequency - band adjustment trajectory, provides a heat map of the spatio - temporal distribution of communication quality for the subsequent transformation of the heat - dissipation system, realizing the closed - loop management from environmental - anomaly perception to communication - resource self - adaptation.

[0065] 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 boundary, the system establishes a trigger mechanism for adjusting the protocol frequency band range. The intelligent calculation model for the frequency band expansion or contraction amount can generate a precise frequency band range adjustment plan according to the actual offset degree. This technology breaks through the limitation of the traditional fixed frequency band tolerance and forms a dynamic frequency domain compensation method based on real-time communication status feedback, significantly enhancing the anti-interference ability and frequency stability of the communication link in the high-temperature aggregation area.

[0066] In some embodiments, as described in step 101, 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 protocol priority parameters are generated according to the distribution of temperature aggregation areas in the communication protocol association map and in combination with the call frequencies of different communication protocol versions, including: 401. Extract the position coordinates of the charging piles and the connection relationships between adjacent charging piles from the building layout data to construct a spatial topological relationship network of the charging piles. The spatial topological relationship network uses nodes to represent the positions of the charging piles and lines to represent the direct connection paths between adjacent charging piles; In step 401, the position coordinates refer to the positioning data of the charging piles in the building space. The connection relationship refers to the communication link configuration between adjacent charging piles. The spatial topological relationship network refers to a graph model describing the connection structure of the charging piles. A node refers to a topological element in the network representing a charging pile. The direct connection path refers to a communication link between nodes without intermediate transfer.

[0067] In the embodiments of the present application, first, the position coordinates (such as longitude and latitude or three-dimensional coordinates) of all charging piles and the physical connection information (such as cable paths or wireless communication links) between adjacent charging piles are extracted from the building layout data. Secondly, the charging piles are abstracted as nodes and the adjacent connection relationships are abstracted as lines by using graph database technology to construct a spatial topological relationship network describing the physical distribution and connection paths of the charging piles. Then, the accuracy of the network structure is verified through a visualization tool (such as checking whether nodes are missing or lines are misaligned) to ensure that the network completely covers the layout of all charging piles. Finally, the network data is stored in a structured format to provide a basis for subsequent area analysis.

[0068] 402. Perform regional continuity analysis on the charging pile temperature data, and mark the area where the charging pile temperature data continuously exceeds the set threshold and covers multiple charging piles as a temperature aggregation area; In step 402, the regional continuity analysis refers to a method for identifying the continuous distribution of temperature anomalies. The set threshold refers to the critical value for judging temperature anomalies. The temperature aggregation area refers to the spatial range where temperature anomalies continuously occur.

[0069] In the embodiments of the present application, first, the charging pile temperature data is subjected to temporal smoothing processing to eliminate instantaneous noise (such as a brief high temperature misreported by the sensor). Secondly, a spatial clustering algorithm (such as DBSCAN) is used to analyze the spatial distribution continuity of the temperature data, and the area where the temperature continuously exceeds a set threshold (such as 60 °C) and covers multiple adjacent charging piles (such as the temperature of 5 consecutive pile bodies exceeding the standard) is marked as a temperature aggregation area. Then, boundary coordinates (such as polygon vertices) are generated for each temperature aggregation area and mapped and associated with the charging pile position coordinates. Finally, the marking results are stored in the area database for subsequent topological comparison.

[0070] 403. Overlap and compare the distribution of nodes in the spatial topology relationship network with the coverage range of the temperature aggregation area, and extract the nodes and connection paths of the temperature aggregation area to generate a communication protocol association map; In step 403, the overlap comparison refers to the process of spatially matching the topology network with the temperature area. The communication protocol association map refers to a network model reflecting the relationship between the temperature area and the communication protocol.

[0071] In the embodiments of the present application, first, a spatial overlay analysis is performed on the node distribution in the spatial topology relationship network constructed in step 401 and the coverage range of the temperature aggregation area marked in step 402. Secondly, through a Geographic Information System (GIS) tool, the nodes that completely or partially fall within the temperature aggregation area and the connecting lines connecting these nodes are extracted (such as 3 charging piles and 2 connecting paths between them in a high-temperature area). Then, the extracted nodes and connecting lines are classified by area to form a communication protocol association map with the temperature aggregation area as an independent unit (such as each high-temperature area corresponds to a sub-graph). Finally, the integrity of the nodes and connecting lines in the map is verified (such as checking whether charging piles are missed at the area boundary) to ensure data consistency.

[0072] 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 scheduling times in each temperature aggregation area, and calculate the proportion of the number of calls of each communication protocol version in the corresponding temperature aggregation area to the total number of calls to generate a protocol priority parameter, where the protocol priority parameter represents the priority level of each communication protocol version in the corresponding temperature aggregation area.

[0073] In step 404, the number of calls refers to the frequency statistics of the use of a specific protocol. The total scheduling times refer to the total frequency of the use of all protocols. The priority level refers to the recommended usage level of the protocol in a specific area. The protocol priority parameter refers to a numerical index that quantifies the priority level of the protocol.

[0074] 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 parameters are bound to the temperature aggregation area and dynamically updated to the protocol scheduling policy library to provide a basis for communication resource allocation.

[0075] Here is a specific example: In the intelligent communication adaptation system of charging stations in highway service areas, the spatial topology analysis system accurately optimizes protocol scheduling in high temperature environments. When the continuous high temperature in summer causes the charging pile group in the northern area to form a superposition of thermal radiation, the system extracts the layout coordinates of the charging pile matrix (step 401) and constructs a spatial topology network containing 48 nodes and 72 connecting lines. The temperature sensor detects that the temperature of six adjacent fast charging piles on the southwest side continues to exceed the standard (step 402), marking it as an elliptical temperature aggregation area. The system spatially maps the topological network nodes with the high temperature area (step 403), identifying the three trunk connection paths and the corresponding Modbus-TCP protocol association map involved in the area. Statistics show that the battery status protocol call accounts for more than 80% in the high temperature area (step 404), and the system accordingly increases the priority of the OCPP1.6 protocol and dynamically allocates wide frequency bands to ensure core data transmission. When the surface temperature surges at noon, the adaptive system detects a new temperature aggregation in the charging pile group in the northeast area and immediately activates the protocol scheduling rules: reduce the frequency band share of the adjacent payment protocol, and open a dedicated channel for the safety monitoring protocol in the temperature sensitive area. In a lightning strike accident, the system quickly located the damaged nodes based on topological associations, jointly cut off the 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.

[0076] In summary, steps 401 to 404 implement the protocol association modeling of spatial topology and thermal characteristics. By constructing the overlapping analysis of the charging pile spatial relationship network and the temperature concentration area, the system reveals the intrinsic correlation between the building layout and the thermal distribution of the equipment. Based on the protocol priority parameter generation algorithm based on the call frequency statistics, a quantitative association model between the protocol version selection and the regional thermal characteristics is established. This technical solution converts the physical space distribution into a communication protocol scheduling strategy, realizes the deep coupling of protocol resource allocation and the thermal characteristics of the equipment cluster, and provides a multi-dimensional decision-making basis for intelligent scheduling.

[0077] In some embodiments, as described in step 102, based on the protocol priority parameter, the transmission frequency of the communication module is adjusted in combination with the temperature data of the charging pile collected in real time, 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 for the transmission frequency adjustment, including: 501. Calculate the adjustment amount of the transmission frequency of the communication module according to the call frequency corresponding to each communication protocol version in the protocol priority parameter; In step 501, the protocol priority parameter refers to the priority usage level index of different communication protocol versions. The call frequency refers to the statistical number of times a specific communication protocol is used. The transmission frequency adjustment amount refers to the numerical value by which the operating frequency of the communication module needs to be changed.

[0078] In the embodiments of the present application, first, the call frequency corresponding to each communication protocol version is extracted from the stored protocol priority parameter (for example, protocol A is called 200 times per hour), and the call frequency is converted into a reference adjustment amount through a proportional conversion algorithm (for example, when the call frequency increases by 100 times, the transmission frequency increases by 0.1 GHz). Secondly, the reference adjustment amount is weighted according to the weight value of the protocol priority parameter (for example, the weight of protocol A is 0.8) to calculate the adjustment amount of the actual transmission frequency (for example, the adjustment amount of protocol A = 0.1 GHz × 0.8 = 0.08 GHz). Then, the adjustment amounts are classified and stored according to the protocol type, providing input for dynamically associating temperature data.

[0079] 502. Real-time collect the temperature change rate of the temperature data of the charging pile in the temperature aggregation area, 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; In step 502, the temperature change rate refers to the degree of how fast the temperature of the charging pile changes with time. Dynamic association refers to establishing a real-time relationship between temperature change and frequency adjustment. The real-time influence coefficient refers to the immediate action factor of temperature change on frequency adjustment.

[0080] In the embodiments of the present application, first, the temperature change rate of the charging pile in the temperature aggregation area is collected in real time through a temperature sensor (for example, the temperature rises by 0.5 °C per minute), and the adjustment amount of the transmission frequency in step 501 is synchronously obtained (for example, the adjustment amount of protocol A is 0.08 GHz). Secondly, a dynamic association model between the temperature rate and the adjustment amount is established: when the temperature growth rate exceeds the threshold, the adjustment amount is amplified proportionally (for example, when the rate increases by 0.1 °C / minute, the adjustment amount increases by 5%) to generate a real-time influence coefficient (for example, the coefficient of protocol A = 1.2). Then, the coefficient is bound to the protocol type for subsequent correction processes.

[0081] 503. Modify the adjustment amount of the transmission frequency based on the real-time impact coefficient to obtain a modified transmission frequency value, and feedback the modified transmission frequency value to the call frequency of the corresponding communication protocol version in the protocol priority parameter; In step 503, the modified transmission frequency value refers to the final frequency setting value considering the temperature impact. Feedback means the process of transmitting the adjustment result back to the priority parameter. Call frequency refers to the statistical count of the number of times a specific communication protocol is used.

[0082] In the embodiment of the present application, first, according to the real-time impact coefficient in step 502 (such as the coefficient of Protocol A being 1.2), modify the adjustment amount of the transmission frequency in step 501 (such as 0.08 GHz × 1.2 = 0.096 GHz) to obtain a modified transmission frequency value. Second, feedback the modified value to the call frequency calculation module of the protocol priority parameter to dynamically update the call frequency of the protocol version (such as the frequency of Protocol A being adjusted from 200 times per hour to 210 times per hour). Then, re-inject the updated frequency into the adjustment amount calculation process in step 501 to form a closed-loop feedback.

[0083] 504. Statistically calculate the maximum offset and minimum offset of the modified transmission frequency value within a preset time window to obtain the change trend of the transmission frequency. Based on the protocol priority parameter and the change trend of the transmission frequency, generate the fluctuation range of the protocol priority parameter for adjusting the transmission frequency.

[0084] In step 504, the preset time window refers to a set fixed statistical time period. The maximum offset refers to the peak value of the positive frequency fluctuation. The minimum offset refers to the valley value of the negative frequency fluctuation. The change trend refers to the development direction characteristics of the frequency fluctuation. The fluctuation range refers to the upper and lower limit intervals within which the frequency is allowed to be adjusted.

[0085] In the embodiment of the present application, first, statistically calculate the modified transmission frequency value in step 503 within the preset time window, extract its maximum offset and minimum offset, and generate a fluctuation interval of the transmission frequency. Second, combine the change trend of the weight of the protocol priority parameter (such as the weight of a certain protocol continuously decreasing), and associate the fluctuation interval with the protocol priority through a dynamic interval algorithm to calculate the upper and lower limits of the fluctuation range. Finally, write the fluctuation range into the protocol scheduling rule library as the boundary constraint condition for the subsequent frequency adjustment of the communication module to complete the closed-loop control.

[0086] The following is a specific example: In the communication adaptation system of the underground charging station of the smart hospital, the dynamic frequency tuning system accurately ensures the safety of medical emergency charging. When the system detects that the charging pile group in the emergency area forms a temperature gathering area due to the high load operation of the equipment, according to the call frequency of the emergency vehicle priority charging protocol (step 501), it is calculated that the transmission frequency of the protocol needs to be increased to 1.2 times the baseline value. The real-time temperature monitoring module captures the abnormal increase in the temperature of the charging pile in the northwest corner every minute (step 502), and dynamically associates and generates the real-time impact coefficient of temperature change on the charging status protocol. The system immediately starts the correction mechanism (step 503), calls back the transmission frequency of the emergency protocol to the safety threshold, and feeds back the corrected frequency parameters to the protocol scheduling core to increase the priority weight of the medical equipment charging protocol. Continuous monitoring found that the corrected frequency value showed periodic fluctuation characteristics during the morning peak period (step 504). Based on this, the system defines the frequency fluctuation safety boundary of the emergency protocol and simultaneously widens the tolerance range of the ordinary charging protocol. During a hospital-wide power outage emergency drill, the system completed the protocol frequency band optimization of all emergency charging piles within 90 seconds through dynamic tuning: the emergency vehicle charging protocol was stabilized within a safe fluctuation range, and the ordinary charging protocol automatically reduced the frequency to release bandwidth resources. 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, forming a closed-loop management mechanism from real-time parameter adjustment to long-term fluctuation prediction.

[0087] In summary, steps 501 to 504 realize the dynamic optimization and closed-loop control of the transmission frequency of the communication module, establish a real-time feedback mechanism through the collaborative analysis of the protocol call frequency and the temperature change rate, and effectively improve the stability of data transmission and the accuracy of energy efficiency management. The system deeply integrates the protocol priority parameters with the temperature sensor data, uses the dynamic correlation model to accurately quantify the impact of environmental factors on the communication quality, and ensures that the frequency adjustment amount always adapts to the actual working conditions through the 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, which not only ensures the efficient allocation of communication resources, but also enhances the reliability of equipment operation in high temperature scenarios, and provides a communication optimization solution with environmental perception capabilities for smart charging facilities.

[0088] In some embodiments, as described in step 104, generating a protocol switching instruction according to 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: 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; In step 601, the load range refers to the communication capacity interval that the frequency band can carry. The spatial boundary refers to the geographical range of the temperature aggregation area. The mapping relationship refers to the corresponding rule between the frequency band and the target charging pile. The target charging pile refers to a specific device that needs to adjust the frequency band.

[0089] In the 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 concurrent connection number corresponding to 2.4 - 2.5 GHz), combined with the spatial boundary coordinates of the temperature aggregation 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 through spatial database technology (such as frequency band A is bound to charging pile numbers 1 - 5). Secondly, the mapping relationship is written into the communication routing table to provide a basis for path planning. Finally, verify whether all the charging piles in the mapping relationship are online and the protocol types match. If there are any abnormalities, an alarm is triggered.

[0090] 602. Traverse the communication nodes in the building layout data according to the mapping relationship, filter out the communication nodes that have spatial overlap with the temperature aggregation area and the protocol priority parameter is higher than the set value, and form a directional transmission path by connecting the communication nodes in series; In step 602, the communication node refers to the network connection point in the building layout. The spatial overlap refers to the geographical coincidence between the node and the temperature area. The set value refers to the critical parameter for judging the node priority. The directional transmission path refers to the communication link established specifically for the temperature area.

[0091] In the embodiment of the present application, first, according to the mapping relationship in step 601, traverse all the communication nodes (such as charging piles and relay devices) in the building layout data, and filter out the nodes that have spatial overlap with the temperature aggregation area through the area superposition algorithm (such as the node coordinates fall within the high - temperature polygon). Secondly, further extract the nodes whose protocol priority parameter is higher than the set value (such as weight ≥ 0.7) from the filtering results, and form a directional transmission path (such as node A → node B → node C) by connecting the communication nodes through a path planning algorithm (such as shortest path first). Finally, synchronize the path information to the routing controller to complete the path configuration.

[0092] 603. When the fluctuation range corresponding to the frequency band adaptation result reaches the critical threshold set by the protocol scheduling rule, trigger the generation of a protocol switching instruction, where the triggering condition is achieved by detecting whether the real - time transmission frequencies of consecutive communication nodes in the directional transmission path fall within the load range of the protocol frequency band; In step 603, the critical threshold refers to the boundary condition for triggering protocol switching. The protocol frequency band refers to the frequency range allocated to a specific protocol. The load range refers to the communication capacity interval that the frequency band can carry.

[0093] In the embodiment of the present application, first, it is monitored in real time whether the fluctuation range of the frequency band in the frequency band adaptation result of step 205 reaches the critical threshold set by the protocol scheduling rule (for example, the frequency upper limit exceeds 2.6 GHz). Secondly, when the threshold is triggered, by detecting the real-time transmission frequency of each consecutive communication node in the directional transmission path (for example, the frequency of node A is 2.55 GHz), it is determined whether it is within the load range of the corresponding protocol frequency band (for example, the load range of protocol A is 2.4 - 2.6 GHz). 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 and waits to be executed.

[0094] 604. Lock the communication nodes in the directional transmission path through the protocol switching instruction, and sequentially transmit them to the target charging pile in the temperature aggregation area according to the arrangement order of the communication nodes in the directional transmission path.

[0095] In step 604, "lock" means to fix the connection state of the communication node. "Arrangement order" means the connection order of the nodes in the path. "Target charging pile" refers to a specific device that needs to adjust the frequency band.

[0096] In the embodiment of the present application, first, through the protocol switching instruction in step 603, according to the order of the communication nodes recorded in the directional transmission path (such as node A → node B → node C), each node is locked one by one and the instruction is sent. Secondly, after receiving the instruction, the node switches to the new protocol frequency band and feeds back an acknowledgment signal. If the node does not respond, the node is skipped or path reselection is triggered. Then, when all nodes have completed the switch, the communication status of the target charging pile is verified (such as detecting the data transmission rate and packet loss rate). Finally, the switch log is recorded and the communication routing table is updated to form a closed-loop control link.

[0097] The following is a specific example: In the intelligent communication adaptation system of the underground charging station in the convention and exhibition center, the directional protocol transmission system effectively solves the communication congestion caused by local high temperature. When a circular temperature aggregation area is formed due to dense equipment in the fast charging area on the south side, the system establishes the mapping relationship between the charging piles in this area and the anti-interference frequency band (step 601), and dedicates the adjusted wide frequency band to the battery thermal management protocol. By scanning 300 communication nodes in the building layout (step 602), twelve charging pile nodes with the highest protocol priority located in the high temperature core area are selected and connected in series to form a star-shaped transmission path running through the southeast to the northwest. When it is detected that the transmission frequencies of three consecutive nodes on this path reach the frequency band load threshold (step 603), the system immediately triggers the protocol switching mechanism: locks the charging pile sequence in the path and switches to the emergency communication frequency band in turn according to the spatial arrangement order. When performing the switch, the charging pile at the first node takes the lead in enabling the anti-interference protocol to transmit the core temperature data, and then the adjacent nodes activate the new frequency band in relays along the transmission path. During a certain exhibition, the system completed the protocol switch of all nodes in the high temperature area within five minutes through this mechanism, successfully avoiding the overheat protection shutdown of seven fast charging piles caused by communication delay. During the switching process, the frequency band adaptation trajectories of each node are recorded synchronously, providing thermal-communication coupling data for the optimization of the venue air conditioning system, and forming a closed-loop management system from spatial path planning to dynamic protocol switching.

[0098] In summary, steps 601 to 604 achieve the directional transmission and precise execution of the protocol switching instruction. By establishing the spatial mapping relationship between the frequency band and the temperature aggregation area, the system realizes the intelligent screening of communication nodes and the optimized construction of the transmission path. The combination of the critical threshold triggering mechanism and the series control of communication nodes ensures the precise spatio-temporal positioning of the protocol switching instruction. This technical solution deeply binds the frequency band allocation with the building space layout, forming a protocol switching execution system in the three-dimensional space dimension, significantly improving the timeliness and reliability of the charging pile communication protocol switching in the high temperature area.

[0099] 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, the constraint conditions of the protocol priority parameter and the frequency band adaptation are cyclically optimized to form a closed-loop communication control, including: 701. Continuously receive the real-time charging pile temperature data in the temperature aggregation area, and generate a temperature change trend according to the temperature change amplitude and duration of the real-time charging pile temperature data; In step 701, the real-time charging pile temperature data refers to the continuous temperature monitoring value during the operation of the charging device. The temperature change amplitude refers to the difference in temperature fluctuations per unit time. The duration refers to the duration of the abnormal temperature state. The temperature change trend refers to the comprehensive characteristics of the temperature change direction and rate.

[0100] In the embodiments of the present application, first, real-time charging pile temperature data of charging piles within the temperature aggregation area is continuously received through Internet of Things sensors, and the data is filtered to eliminate instantaneous noise. Secondly, the sliding window algorithm is used to statistically analyze the amplitude of temperature change (for example, the temperature rises by 5°C within 10 minutes) and the duration (for example, the high temperature lasts for 30 minutes), and the temperature change trend (such as "the temperature continues to rise" or "the high temperature tends to be stable") 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.

[0101] 702. Monitor the execution status of the protocol switching instruction, obtain the frequency band usage data of the target charging pile, and compare the frequency band usage data with the frequency band range required in the protocol switching instruction to generate a frequency band adaptation execution deviation degree; In step 702, the execution status refers to the implementation progress of the protocol switching instruction. The frequency band usage data refers to the frequency range information actually used by the charging pile. The frequency band range refers to the frequency range specified in the protocol switching instruction. The frequency band adaptation execution deviation degree refers to the degree of difference between the actual frequency band usage and the instruction requirements.

[0102] In the embodiments of the present application, first, monitor the execution status of the protocol switching instruction issued in step 604 (such as whether the instruction is successful, the response delay time), and collect the frequency band usage data of the target charging pile (such as the actual used frequency band is 2.5 GHz). Secondly, compare the actual frequency band data with the frequency band range required by the instruction (such as the required range is 2.4 - 2.6 GHz), calculate the percentage difference between the two (such as the deviation of the actual frequency band from the center of the range is 5%), and generate a frequency band adaptation execution deviation degree (such as the deviation degree = 5%). Then, classify the deviation degree according to the protocol type, mark the outliers (such as the deviation degree exceeds 10%), and trigger an alarm or an optimization process.

[0103] 703. Correlate the temperature change trend with the execution deviation degree, adjust the call weights of different protocol versions in the protocol priority parameters according to the correlation result, and generate optimized protocol priority parameters; In step 703, correlation means establishing a corresponding relationship between the temperature trend and the execution deviation degree. The call weight refers to the priority coefficient of different protocol versions in the scheduling. The optimized protocol priority parameters refer to the adjusted protocol priority level indicators.

[0104] In the embodiments of the present application, first, the temperature change trend in step 701 (such as "the temperature continuously rises") is associated with the execution deviation degree in step 702 (such as the deviation degree of protocol A is 8%), and the temperature influence factor is calculated through a weighted model (such as the weight of the increase in the deviation degree of protocol A caused by high temperature is 0.7). Secondly, according to the association result, the call weights of different protocol versions in the protocol priority parameters are dynamically adjusted (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 library to update the priority configuration, ensuring that subsequent scheduling is more in line with the actual temperature change.

[0105] 704. According to the optimized protocol priority parameters and the constraint conditions adapted to the current frequency band, recalculate the matching relationship between the protocol type and the frequency band interval to update the constraint conditions for frequency band adaptation; In step 704, the constraint conditions refer to the boundary rules that limit frequency band adaptation. The matching relationship refers to the corresponding rules between the protocol type and the frequency band range. Updating refers to the process of recalculating the adaptation conditions according to the new parameters.

[0106] In the embodiments of the present application, first, based on the optimized protocol priority parameters in step 703 (such as the weight of protocol A is 0.7), combined with the constraint conditions adapted to the current frequency band (such as the upper limit of the frequency band load of protocol A is 2.6 GHz), the matching relationship between the protocol type and the frequency band interval is recalculated through a dynamic programming algorithm. Secondly, the length of the frequency band interval is adjusted according to the priority weight (such as the frequency band of protocol A is contracted from 2.4 - 2.6 GHz to 2.4 - 2.55 GHz), and the constraint conditions are updated (such as the load capacity of protocol A is reduced by 20%). Then, the new matching relationship is synchronized to the protocol scheduling rule library to overwrite the old configuration, ensuring that the subsequent adaptation process uses the latest parameters.

[0107] 705. Based on the updated constraint conditions, re-trigger the frequency band adaptation process, generate a new protocol switching instruction and send it to the target charging pile to form a cyclic optimization of closed-loop communication control.

[0108] In step 705, closed-loop communication control refers to a communication management mechanism optimized through a feedback loop. Cyclic optimization refers to the process of iteratively improving the system performance. The new protocol switching instruction refers to the updated frequency band adjustment command.

[0109] In the embodiments of the present application, first, according to the updated constraint conditions in step 704 (such as protocol A frequency band 2.4 - 2.55 GHz), the frequency band adaptation process is re-triggered, and a new protocol switching instruction (such as "protocol A switches to 2.4 - 2.55 GHz") is generated through the protocol scheduling engine. Secondly, the instruction is sent down to the target charging pile through the message queue in a targeted manner, forcing its communication module to operate on 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), and if an anomaly is found, it is rolled back to the previous version. Finally, the execution result is fed back to the data acquisition end in step 701, forming a continuously iterative closed-loop communication control optimization cycle.

[0110] The following is a specific example: In the communication adaptation system of the intelligent charging stations in coastal ports, the dynamic closed-loop optimization system effectively copes with the salt fog and high temperature composite environment. The system continuously monitors the temperature fluctuations of the charging pile group in the container loading and unloading area (step 701), and finds that the charging cabinet on the southeast side shows a continuous upward temperature trend due to the obstruction of sea breeze. After the system executes the protocol switching instruction, it is detected that the use of the emergency frequency band of three gantry crane charging piles deviates from the preset range (step 702), and a high-frequency band adaptation deviation alarm is generated. The algorithm correlates the temperature rise curve and the deviation data in space and time (step 703), automatically increases the call weight of the battery anti-corrosion monitoring protocol, and reduces the priority of the settlement protocol. Based on the optimized protocol parameters (step 704), the system recalculates that the security protocol needs to exclusively occupy the high-frequency band bandwidth and compresses the available frequency band of the data backhaul protocol. The updated adaptation rules immediately trigger a new round of frequency band allocation (step 705), dynamically opening up anti-interference dedicated channels for the charging piles in the core salt fog area. During a certain typhoon passing through, the system completed three closed-loop optimizations within eight hours: the first optimization was to deal with the sudden temperature change caused by the sudden rain, the second adjustment was to solve the frequency band deviation caused by salt fog crystallization, and the final stable stage was to rebalance the protocol weights for the returning moisture. By recording the frequency band switching trajectories of each round of optimization, the system successfully prevented the charging interruption of nineteen high-value cold chain transport vehicles and provided communication-environment coupling data for the transformation of the port power grid, forming an intelligent communication ecosystem from real-time perception to autonomous evolution.

[0111] To sum up, steps 701 to 705 achieve the continuous evolution and closed-loop optimization of the communication protocol self-adaptation. By continuously monitoring the temperature change trend and the protocol execution deviation, the system establishes a dynamic association model for parameter optimization and constraint condition update. The recalculation mechanism of the protocol priority parameters and the iterative update of the frequency band adaptation rules form a self-learning closed-loop control system. This technical solution breaks through the limitations of traditional static control strategies, realizes the autonomous adaptation ability of the communication protocol scheduling system to environmental changes and execution deviations, and constructs an intelligent communication control ecosystem with self-optimization characteristics.

[0112] Figure 2The following is a schematic structural diagram of a multi-modal charging pile communication protocol self-adaptation system provided by an embodiment of the present application. As Figure 2 shown, the system includes: An acquisition module 21, 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 according to the distribution of temperature aggregation regions in the communication protocol association map, in combination with the call frequencies of different communication protocol versions; A coupling module 22, configured to synchronously adjust the transmission frequency of the communication module based on the protocol priority parameter, in combination with the charging pile temperature data collected in real time, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency, so as to obtain the fluctuation range of the protocol priority parameter for adjusting the transmission frequency; A establishment module 23, configured to establish a protocol scheduling rule linked to the communication protocol association map, 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 piles corresponding to the temperature aggregation regions execute frequency bands matching the transmission frequency during communication; An allocation module 24, configured to generate a protocol switching instruction according to the frequency band adaptation result, and direct the allocation of the frequency band to the target charging piles in the temperature aggregation region through the protocol switching instruction; An optimization module 25, configured to cyclically optimize the constraint conditions of the protocol priority parameter and the frequency band adaptation based on the continuous update of the charging pile temperature data and the execution status of the protocol switching instruction, so as to form a closed-loop communication control.

[0113] Figure 2 The multi-modal charging pile communication protocol self-adaptation system described above can execute Figure 1 the multi-modal charging pile communication protocol self-adaptation method described in the embodiment shown. The implementation principle and technical effects will not be elaborated. For the multi-modal charging pile communication protocol self-adaptation system in the above embodiment, the specific manners in which each module and unit perform operations have been described in detail in the embodiment related to the method, and will not be elaborated here.

[0114] In a possible design, Figure 2 the multi-modal charging pile communication protocol self-adaptation system in the embodiment shown can be implemented as a computing device. As Figure 3 shown, the computing device may include a storage component 31 and a processing component 32; The storage component 31 stores one or more computer instructions, where the one or more computer instructions are called and executed by the processing component 32.

[0115] The processing component 32 is used for the above-mentioned Figure 1 A multi-modal charging pile communication protocol self-adaptation method of the above-mentioned embodiment.

[0116] Among them, 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-mentioned method. Of course, the processing component may also be implemented by 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 for executing the above-mentioned method.

[0117] The storage component 31 is configured to store various types of data to support the operation of the terminal. The storage component can be implemented by any type of volatile or non-volatile storage 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.

[0118] Of course, the computing device may also necessarily include other components, such as input / output interfaces, display components, communication components, etc.

[0119] The input / output interface provides an interface between the processing component and the peripheral interface module, and the above-mentioned peripheral interface module may be an output device, an input device, etc.

[0120] The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, etc.

[0121] Among them, the computing device may be a physical device or an elastic computing host provided by a cloud computing platform, etc. At this time, the computing device may refer to a cloud server, and the above-mentioned processing component, storage component, etc. may be basic server resources rented or purchased from a cloud computing platform.

[0122] The embodiment of the present application also provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, it can implement the above-mentioned Figure 1 A multi-modal charging pile communication protocol self-adaptation method of the above-mentioned embodiment.

[0123] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0124] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0125] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part 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, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A multi-modal charging pile communication protocol self-adaptation method, characterized in that: include: 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 concentration areas in the communication protocol association map and the calling 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; 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 matching the transmission frequency during the communication process; 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; Based on the continuous updating 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, 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: Acquire the protocol priority parameter of the temperature cluster area in the communication protocol association map, and allocate a frequency band interval for 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 according to the mapping relationship, wherein the protocol scheduling rule is that when the charging piles in the temperature concentration area communicate through a specific connection path, the frequency band interval corresponding to the protocol type is used; 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 the dynamic offset corresponding to 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 of the corresponding 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: Compare 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, calculate 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, characterized in that: A communication protocol association map is generated based on the spatial topological relationship of the building layout data and the temperature intensive characteristics of the charging pile temperature data, and a protocol priority parameter is generated based on the distribution of temperature concentration areas in the communication protocol association map and the calling frequency of different communication protocol versions, including: Extracting the location coordinates of the charging piles and the connection relationship between adjacent charging piles in 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 the direct connection paths between adjacent charging piles; Performing regional continuity analysis on the charging pile temperature data, marking an area where the charging pile temperature data continuously exceeds a set threshold and covers multiple charging piles as a temperature concentration area; 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 indicates the priority of each communication protocol version in the corresponding temperature aggregation area.

5. The method according to claim 1, characterized in that 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: Calculating the adjustment amount of the transmission frequency of the communication module according to the calling frequency corresponding to each communication protocol version in the protocol priority parameter; Real-time acquisition of the temperature change rate of the charging pile temperature data in 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 back the corrected transmission frequency value 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, and 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, characterized in that 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, including: Based on the load range of the frequency band in the frequency band adaptation result and the spatial boundary of the temperature concentration area, a mapping relationship between the frequency band and the target charging pile in the temperature concentration area is established; According to the mapping relationship, the communication nodes in the building layout data are traversed, and the communication nodes that have spatial overlap with the temperature concentration area and whose protocol priority parameters are higher than the set value are screened out, and a directional transmission path is formed 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, the generation of the protocol switching instruction is triggered, 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, characterized in that 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: Continuously receiving real-time charging pile temperature data in the temperature concentration area, and generating a temperature change trend according to the temperature change amplitude and duration of the real-time charging pile temperature data; Monitor the execution status of the protocol switching instruction, obtain the 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; Associating the temperature change trend with the execution deviation, adjusting the call weights of different protocol versions in the protocol priority parameter according to the association 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 condition to update the frequency band adaptation constraint condition; The frequency band adaptation process is re-triggered based on the updated constraints, and 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 used 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 concentration areas in the communication protocol association map and the calling frequency of different communication protocol versions; A coupling module, configured to synchronously adjust the transmission frequency of the communication module based on the protocol priority parameter and the charging pile temperature data collected in real time, and dynamically couple the protocol priority parameter with the change trend of the transmission frequency to obtain the fluctuation range of the transmission frequency adjusted by the protocol priority parameter; Establishing a module 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 matching 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; The optimization module is used to cyclically optimize the constraint conditions of the protocol priority parameters and 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 comprises 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 multi-modal 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 multi-modal charging pile communication protocol self-adaptation method as described in any one of claims 1 to 7 is implemented.

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