Iot card connection management platform interfacing method and related device

Abstract

This application relates to a method and related equipment for interfacing with an IoT card connection management platform. The method includes: collecting device status information of the charging pile system when it is in a charging state; verifying and determining the device status information based on preset fire detection hardware and fire warning logic in the charging pile system to obtain target device status information including fire warning status; performing preprocessing on the target device status information according to the preset communication configuration of the IoT card in the charging pile system and sending it to the connection management platform accessed by the IoT card, thereby completing the interfacing interaction between the charging pile system and the connection management platform in a fire warning scenario. This method enables stable interfacing interaction between the charging pile system and the connection management platform regarding the fire warning status.

Description

Technical Field

[0001] This application relates to the field of Internet of Things (IoT) connectivity management, and in particular to a method for interfacing with an IoT card connectivity management platform and related equipment. Background Technology

[0002] In the field of IoT connectivity management, the connection of charging pile systems to a connectivity management platform via IoT SIM cards is involved to achieve unified management of device status. Common integration methods involve directly uploading operational data from the device side to the platform for status interaction. However, this method fails to perform multi-layered verification of device status and adapt to the connectivity management platform in specific operational scenarios such as fire alarms. This results in a lack of effective coordination between device status and IoT SIM card connectivity management in fire alarm scenarios. Summary of the Invention

[0003] Therefore, it is necessary to provide an IoT card connection management platform docking method, a charging pile system, computer equipment, and computer-readable storage medium to address the above-mentioned technical problems.

[0004] Firstly, this application provides a method for interfacing with an IoT card connection management platform, applied to a pre-set charging pile system, the method comprising: When the charging pile system is in a charging state, the equipment status information of the charging pile system is collected; Based on the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, the device status information is reviewed and the status is determined to obtain the target device status information including the fire prevention early warning status; wherein, the fire prevention sensing hardware and the fire prevention early warning logic are a dual support mechanism in the preset AI fire prevention early warning system used to review the device status information. According to the communication configuration of the IoT card preset in the charging pile system, the status information of the target device is preprocessed and sent to the connection management platform accessed by the IoT card, so as to complete the docking and interaction between the charging pile system and the connection management platform in the fire prevention early warning scenario.

[0005] Secondly, this application also provides a charging pile system, including: The data acquisition module is used to acquire the equipment status information of the charging pile system when the charging pile system is in a charging state. The verification and determination module is used to verify and determine the status information of the equipment based on the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, so as to obtain the target equipment status information including the fire prevention early warning status; wherein, the fire prevention sensing hardware and the fire prevention early warning logic are a dual support mechanism in the preset AI fire prevention early warning system for verifying the equipment status information. The docking processing module is used to perform docking preprocessing on the target device status information according to the communication configuration of the IoT card preset in the charging pile system, and send it to the connection management platform accessed by the IoT card, so as to complete the docking interaction between the charging pile system and the connection management platform in the fire prevention early warning scenario.

[0006] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the above steps.

[0007] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the above steps.

[0008] The aforementioned IoT card connection management platform docking method, charging pile system, computer equipment, and computer-readable storage medium firstly obtain device status information directly corresponding to the charging behavior when the charging pile system is in a charging state. Secondly, the device status information is verified and its status is determined according to the fire prevention sensing hardware and fire prevention early warning logic, thereby forming target device status information that includes the fire prevention early warning status, avoiding the problem of unclear status caused by relying on a single judgment criterion. Thirdly, the target device status information is preprocessed for docking according to the communication configuration of the IoT card and sent to the connection management platform, so that fire prevention early warning related information can be reported and docked in a form that the platform can recognize. Based on this, in the entire technical solution, the layered verification, status determination, and docking adaptation of device status information to the connection management platform are completed in the fire prevention early warning scenario, thereby realizing stable docking and interaction between the charging pile system and the connection management platform around the fire prevention early warning status. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1This is a flowchart illustrating the IoT card connection management platform integration method in one embodiment; Figure 2 This is a structural block diagram of a charging pile system in one embodiment. Detailed Implementation

[0011] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0012] In one embodiment, such as Figure 1 As shown, an IoT card connection management platform docking method is provided. This embodiment uses the application of this method to a charging pile system as an example for illustration. The method includes the following steps S101 to S103.

[0013] Step S101: When the charging pile system is in charging state, collect the equipment status information of the charging pile system.

[0014] For example, a charging pile system refers to a device that provides charging services for two-wheeled vehicles. When the charging pile system detects that a two-wheeled vehicle has connected and entered the charging process, it initiates a device status information collection process for the current charging process, thereby ensuring that the collected information corresponds one-to-one with the actual charging behavior of the two-wheeled vehicle. In this process, the charging pile system reads device status information reflecting the current charging process from its internal operation control and monitoring unit, and organizes the read results according to a predetermined data item order, so that each piece of device status information corresponds to the same charging stage in time. For example, the collected device status information specifically includes status identifier data to indicate whether charging is in progress, numerical data to indicate the power output and consumption during the charging process, and flag data to indicate whether the device is in an abnormal or alarm state.

[0015] Step S102: Based on the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, the device status information is reviewed and the status is determined to obtain the target device status information including the fire prevention early warning status; wherein, the fire prevention sensing hardware and fire prevention early warning logic are a dual support mechanism in the preset AI fire prevention early warning system used to review the device status information.

[0016] For example, after obtaining the equipment status information, the charging pile system independently verifies the information based on its internally configured fire-sensing hardware and fire-prevention logic. The fire-sensing hardware refers to the hardware unit deployed inside the charging pile system for sensing physical states related to fire risk. It senses operational phenomena such as temperature changes, abnormal current, or smoke characteristics and outputs corresponding detection results. The fire-prevention logic refers to a set of pre-set judgment rules in the charging pile system. Based on the changes in the operating status of the charging pile system during the charging process, it performs rule matching and condition judgment on the equipment status information to form a judgment result related to fire risk.

[0017] For example, fire detection hardware includes temperature detection elements for collecting temperature information inside the equipment or in key parts, current detection elements for monitoring changes in charging circuit current, or smoke detection elements for sensing abnormal gas or particle changes inside the equipment; fire warning logic includes making judgments based on whether the collected temperature value exceeds a preset threshold, or based on whether the current change trend deviates from the normal charging range, or based on whether the smoke detection status is in an abnormal state.

[0018] Specifically, the device status information is verified through both fire-sensing hardware and fire-prevention logic, enabling the device's operation under the same charging state to be confirmed simultaneously at both the physical sensing and logical judgment levels. Based on this, a comprehensive status determination is made for the current charging state based on the results of these two verifications. When the two verification results consistently point to a fire-prevention warning status, target device status information including the fire-prevention warning status is generated. The fire-prevention warning status indicates whether the charging pile system is in a state requiring fire prevention attention or action during the current charging process.

[0019] Furthermore, the fire-sensing hardware and fire-early warning logic form a dual support mechanism within the pre-defined AI fire-early warning system for verifying equipment status information. This AI fire-early warning system is deployed locally within the charging pile system. The fire-sensing hardware corresponds to the hardware unit within the AI ​​fire-early warning system that performs physical data acquisition and sensing verification. It uses components such as visible light sensors and ultraviolet sensors to detect flame morphology, spectral changes, smoke characteristics, and arc discharge phenomena in the charging environment in real time, outputting sensing data corresponding to temperature, current, and environmental state dimensions. This data is used to verify the equipment status information recorded by the charging pile system itself at the physical sensing level. The fire-early warning logic corresponds to the processing mechanism within the AI ​​fire-early warning system that performs rule-based judgment and consistency verification of the aforementioned equipment status information. Based on the operating characteristics of the charging pile system under normal charging conditions, it compares and logically judges each item in the equipment status information related to fire risks, thereby verifying the equipment status information recorded by the charging pile system itself at the logical judgment level.

[0020] Therefore, this AI fire warning system is not only used to independently output alarm signals, but also serves as a verification tool in this technical solution. Through a dual mechanism of physical perception verification and logical judgment verification, it cross-verifies the device status information of the charging pile system to support the subsequent determination and processing of the fire warning status. Step S103: Based on the communication configuration of the IoT card preset in the charging pile system, the target device status information is pre-processed and sent to the connection management platform accessed by the IoT card to complete the connection interaction between the charging pile system and the connection management platform in the fire warning scenario.

[0021] For example, after obtaining the target device status information, the charging pile system initiates a docking process based on the communication configuration of the IoT card to preprocess the target device status information. The IoT card's communication configuration defines the communication parameters and organizational rules followed when sending data via the IoT card, such as the order of status fields, the representation of status values, and the sending trigger conditions. This ensures that data transmitted via the IoT card can be correctly identified and received by the corresponding platform. Based on this, the charging pile system sends the preprocessed target device status information to the connected connection management platform via the IoT card. The connection management platform is a platform system that centrally receives and manages the device connection and operational status reported via the IoT card. Through this process, the target device status information is matched with the communication configuration and platform receiving requirements before transmission, thereby achieving stable docking and interaction between the charging pile system and the connection management platform in fire prevention and early warning scenarios, and ultimately obtaining the target device status information successfully transmitted to the connection management platform.

[0022] Furthermore, the interaction between the charging pile system and the connection management platform in a fire warning scenario corresponds to a tiered warning and information push mechanism in the fire warning scenario. Tiered warnings distinguish the management response levels corresponding to different fire warning states and convert different levels of fire warning states into connection statuses at the connection management level via IoT cards for reporting. When a fire risk is in the abnormal symptom stage, a lower-level fire warning state is formed after verification, and during the connection processing, it is mapped to a connection status requiring attention and pushed to the connection management platform. When the risk develops to the smoke or initial fire stage, a medium-level fire warning state is formed, and the corresponding connection status is reported simultaneously, causing the platform to enter enhanced monitoring mode. When the risk reaches the open flame or severe abnormal stage, the highest-level fire warning state is formed, and the connection status is immediately pushed to the platform after being determined to be restricted or abnormal.

[0023] In the above-mentioned IoT card connection management platform docking method, in step S101, when the charging pile system is in charging state, the device status information directly corresponding to the charging behavior is obtained; in step S102, the device status information is reviewed and the status is determined according to the fire prevention sensing hardware and fire prevention early warning logic, thereby forming target device status information including fire prevention early warning status, avoiding the problem of unclear status caused by relying on only a single judgment basis; in step S103, the target device status information is preprocessed according to the communication configuration of the IoT card and sent to the connection management platform, so that fire prevention early warning related information can be reported and docked in a form that the platform can recognize; based on this, in the entire technical solution, the hierarchical review, status determination and docking adaptation of device status information to the connection management platform are completed in the fire prevention early warning scenario, thereby realizing stable docking and interaction between the charging pile system and the connection management platform around the fire prevention early warning status.

[0024] In an exemplary embodiment, the device status information is reviewed and the status is determined according to the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, and the target device status information including the fire prevention early warning status is obtained, including steps S201 to S203.

[0025] Step S201: Compare the fire sensing data collected by the fire sensing hardware with the equipment status information in each sensing dimension to obtain the first verification result.

[0026] For example, after obtaining the equipment status information, the charging pile system introduces fire-sensing data collected by fire-sensing hardware. It then performs consistency verification between the fire-sensing data and the equipment status information across multiple sensing dimensions directly related to fire risk. Specifically, if the fire-sensing data includes data reflecting internal temperature changes, charging circuit current changes, and abnormal gas or particle states within the equipment, the sensing dimensions correspond to the temperature dimension, current dimension, and environmental state dimension, respectively. In the implementation process, the fire-sensing data and equipment status information are first temporally correlated to ensure they correspond to the same charging phase. Then, a one-to-one correspondence is established across each sensing dimension. For instance, in the temperature dimension, the temperature changes reflected in the fire-sensing data are compared with the temperature recorded in the equipment status information; in the current dimension, the current changes reflected in the fire-sensing data are compared with the corresponding charging current state in the equipment status information; and in the environmental state dimension, the abnormal gas or particle states reflected in the fire-sensing data are compared with the corresponding environmental state in the equipment status information.

[0027] In this way, without changing the original equipment status information structure, the system verifies whether the equipment status information can be supported by fire protection sensing data in each sensing dimension. Based on the consistency or inconsistency of the two types of data in the operational direction in each sensing dimension, a first verification result is formed to characterize the overall support relationship between fire protection sensing data and equipment status information. For example, the first verification result is presented as a set of verification result identifiers corresponding to a set of sensing dimensions, used to indicate whether sensing dimensions such as temperature, current, and environmental status have passed the verification of fire protection sensing data.

[0028] Step S202: Extract each relevant item of the equipment status information at the fire prevention and early warning level, and judge each relevant item one by one according to the fire prevention and early warning logic to obtain the second review result.

[0029] For example, after obtaining the equipment status information, the charging pile system identifies and extracts relevant items of the equipment status information at the fire warning level, focusing on the status content of interest in fire warning judgment. These relevant items include temperature-related items reflecting changes in equipment temperature, current-related items reflecting changes in charging load, and environmental-related items reflecting whether the equipment's operating environment is abnormal. These items directly characterize operational changes related to fire risk at the fire warning level. After extracting the relevant items, the charging pile system verifies each item sequentially according to a pre-set fire warning logic. The fire warning logic uses the equipment's operating performance under normal charging conditions as a judgment benchmark, comparing and analyzing the current status content corresponding to each relevant item. For example, the temperature value of the temperature-related item is compared with the temperature reference range under normal charging conditions to determine if there is a continuous deviation; the change amplitude of the current-related item is compared with the current change range under normal charging conditions to determine if abnormal fluctuations occur; and the smoke characteristics in the environmental-related item are compared with the smoke-free state under normal charging conditions to determine if the state has changed from smoke-free to an abnormal state with smoke.

[0030] In the above manner, without changing the original equipment status information structure, the status content of each relevant item is mapped one-to-one with the judgment conditions in the fire prevention and early warning logic, forming a verification conclusion for each relevant item. Based on the overall situation of each verification conclusion, a second review result is formed to characterize the overall verification result of the fire prevention and early warning logic on the equipment status information. For example, the second review result is presented as a set of verification result identifiers corresponding to a group of relevant items, indicating whether the relevant items such as temperature, current and environment have passed the review of the fire prevention and early warning logic.

[0031] Step S203: Based on the deviations of the first verification result and the second verification result relative to the equipment status information and the deviations of the equipment status information relative to the preset reference level, determine the fire warning status corresponding to the charging pile system, so as to obtain the target equipment status information including the fire warning status.

[0032] For example, the charging pile system quantifies the deviations represented by the first and second verification results, transforming the two types of verification results into numerical results that reflect the degree of deviation relative to the equipment status information. This forms a deviation representation for characterizing deviations at the physical perception level and a deviation representation for characterizing deviations at the logical judgment level. After completing the above quantification, the system further performs an initial determination of the fire warning status of the current charging pile system based on the deviation of the equipment status information itself relative to a preset reference level, i.e., the overall operational deviation of the equipment status information in the current charging stage relative to the normal operating state. This initial determination of the initial fire warning status reflects the basic fire prevention status of the charging pile system under normal operating conditions.

[0033] Subsequently, the aforementioned two types of deviation representations are introduced to correct the initial fire warning status. Specifically, based on the combination of consistency and severity between deviations at the physical perception level and deviations at the logical judgment level, the level of the initial fire warning status is adjusted upwards, downwards, or remains unchanged. This ensures that the final fire warning status reflects the comprehensive status of the charging pile system at both the physical perception and logical judgment levels. Through this process, the fire warning status corresponding to the current charging pile system is finally determined, and this fire warning status is integrated with the original equipment status information to form target equipment status information that includes the fire warning status.

[0034] In this embodiment, in step S201, the consistency between fire prevention sensing data and device status information in the corresponding sensing dimensions is verified to confirm whether the device status information has reliable sensing support at the physical sensing level. In step S202, the relevant items in the device status information are verified item by item according to the fire prevention warning logic to confirm whether the device status information meets the judgment conditions for normal charging at the logical judgment level. In step S203, the fire prevention warning status is initially judged and corrected based on the deviation characterization formed by the first verification result and the second verification result, combined with the deviation of the device status information relative to the reference level, so as to obtain a fire prevention warning status that reflects both the physical sensing level and the logical judgment level. Based on this, in the entire technical solution, the fire prevention warning status of the charging pile system is reliably confirmed through a multi-layer verification and unified judgment mechanism, so that it has a clear source and reliable judgment basis.

[0035] In an exemplary embodiment, the fire warning status corresponding to the charging pile system is determined based on the deviations of the first review result and the second review result relative to the device status information and the deviations of the device status information relative to the preset reference level, respectively, including steps S301 to S303.

[0036] Step S301: Quantify the deviations of the first verification result and the second verification result relative to the device status information to obtain the perception deviation value corresponding to the first verification result and the logic deviation value corresponding to the second verification result.

[0037] For example, after obtaining the first and second verification results, the charging pile system uses the equipment status information as a unified reference object to quantify the deviations reflected in the two types of verification results, thereby transforming the verification results, which originally existed in the form of verification conclusions, into numerical representations that can be used for subsequent judgment. Specifically, on the one hand, for the first verification result, the verification conclusions formed in each perception dimension are read, and each verification conclusion is compared with the corresponding normal operating status in the equipment status information. Through normalization processing of the degree of inconsistency at the physical perception level, a perception deviation value that can reflect the degree of deviation of the fire prevention perception data from the equipment status information is formed. For example, during the same charging phase, the device status information records 65℃ in the temperature dimension, while the fire detection data shows 72℃ in the corresponding temperature dimension. This results in a temperature dimension deviation ΔT = 7℃. Using the reference fluctuation range width of 10℃ (i.e., the total range of allowable fluctuations of the device's internal temperature around its stable operating temperature) as the normalization benchmark, the normalized deviation value for the temperature dimension is 7 / 10 = 0.7. Similarly, in the current dimension, the device status information records 9A, while the fire detection data shows 11A. This results in a current dimension deviation ΔI = 2A. Using the reference fluctuation range width of 4A (i.e., the total range of allowable fluctuations of the charging circuit around its stable operating temperature) as the normalization benchmark, the normalized deviation value for the temperature dimension is 7 / 10 = 0.7. Using the total allowable fluctuation range of the fixed operating current as the normalization benchmark, the normalization deviation value of the current dimension is 2 / 4 = 0.5. In the environmental state dimension, the equipment status information is characterized as no abnormality, while the fire detection data is characterized as the presence of smoke. Therefore, the environmental state dimension is directly judged as inconsistent and recorded as a normalization deviation value of 1. The normalization deviation values ​​of the temperature dimension, current dimension and environmental state dimension are integrated according to preset rules, such as taking the average of the three, to obtain a perception deviation value of (0.7 + 0.5 + 1) / 3 ≈ 0.73, thus forming a perception deviation value used to characterize the overall deviation of the first verification result at the physical perception level.

[0038] On the other hand, for the second review result, its verification conclusions on each relevant item are read, and each verification conclusion is compared with the normal operating status reflected by the equipment status information. Through the normalization processing of the degree of non-compliance at the logical judgment level, a logical deviation value that can reflect the degree of deviation of the fire prevention early warning logic from the equipment status information is formed. For example, during the same charging phase, if the temperature-related item in the device status information is 70℃, while the corresponding judgment condition in the fire warning logic is no higher than 65℃, then the temperature-related item will have a logical deviation of ΔT = 5℃. Using the upper limit of the allowable deviation of 8℃ for this item as the normalization benchmark, the normalized deviation value of the temperature-related item is 5 / 8 ≈ 0.63. Simultaneously, if the current-related item in the device status information is 10.5A, while the upper limit of the normal range in the fire warning logic is 9A, then the current-related item will have a logical deviation of ΔI = 1.5A. Using the upper limit of the allowable deviation of 3A for this item as the normalization benchmark, the normalized deviation value of the current-related item is 1.5 / 3 = 0.5. Furthermore, if the environmental-related item corresponds to the presence of smoke in the logical judgment, while the fire warning logic requires a smoke-free state, then this environmental-related item is directly judged as not meeting the condition, and the corresponding normalized deviation value is recorded as 1. Subsequently, the normalized deviation values ​​of temperature-related items, current-related items, and environmental-related items are integrated according to preset rules, such as taking the average of the three to obtain a logical deviation value of (0.63+0.5+1) / 3≈0.71, thus forming a logical deviation value used to characterize the overall deviation of the second review result at the logical judgment level.

[0039] Step S302: Based on the deviation of the equipment status information from the preset reference level, make an initial determination of the fire warning status corresponding to the charging pile system to obtain the initial fire warning status.

[0040] For example, the preset reference level is derived from the long-term operating status record of the charging pile system under normal charging conditions. It reflects the typical operating performance of the charging pile system under conditions without abnormalities or fire risks. For example, under normal charging conditions, the internal temperature of the equipment is stable within the preset range for a long time, the charging circuit current is stable near the rated operating current and the fluctuation range is kept within the preset range, and the environmental condition is continuously maintained as an abnormality indicator.

[0041] Specifically, during the current charging phase, the device status information is compared item by item with a preset reference level. By calculating the offset between the current status value and the reference value, the deviation of the device status information relative to the preset reference level is obtained. This deviation is used to characterize the degree of deviation of the current operating state of the charging pile system from the normal operating state. After completing the above deviation calculation, based on the position of the deviation within the preset judgment interval, an initial judgment is made on the fire warning state corresponding to the charging pile system. That is, when the deviation is near the reference level, the initial fire warning state is judged as the fire warning state corresponding to the normal operating state; when the deviation significantly deviates from the reference level, the initial fire warning state is judged as a fire warning state requiring further attention.

[0042] For example, during the current charging phase, the device status information records an internal temperature of 58°C, a charging current of 8.5A, and an operating environment status of "no abnormalities." The corresponding normal operating state in the preset reference level is a temperature of 50°C-60°C, a current of 8A-9A, and an environmental status of "no abnormalities." Therefore, the overall deviation calculated by comparing each item is within the reference level range. In this case, the initial fire warning state is determined to be the fire warning state corresponding to the normal operating state. If the temperature recorded in the device status information rises to 63°C and the current fluctuates to 9.5A, but is still within the allowable range, the overall deviation is minor. If the deviation from the reference level is small, the initial fire warning state is determined as a fire warning state corresponding to a slight deviation. If the temperature reaches 68℃ and the current reaches 10.5A in the equipment status information, and multiple statuses deviate from the reference level simultaneously, the overall deviation is significantly different from the reference level, and the initial fire warning state is determined as a fire warning state corresponding to a significant deviation. Furthermore, if the temperature and current are significantly higher than normal in the equipment status information, and the environmental status also shows an abnormal indication, the overall deviation falls into the highest judgment range, and the initial fire warning state is determined as a fire warning state corresponding to a high deviation.

[0043] Step S303: Based on the combination relationship between the perception deviation value and the logic deviation value, the initial fire warning state is corrected to obtain the fire warning state corresponding to the charging pile system.

[0044] For example, the combined relationship between perceived deviation value and logical deviation value is analyzed to determine whether the current deviation exists simultaneously at multiple levels or is concentrated at a single level. Based on this, the initial fire warning state is adjusted according to the combined relationship. That is, when both perceived deviation value and logical deviation value are at a low level, the initial fire warning state is maintained unchanged; when one deviation value is significantly higher than the other, the initial fire warning state is adjusted upward or downward according to the deviation level reflected by the corresponding deviation; when both types of deviation values ​​are at a high level, the initial fire warning state is further strengthened and adjusted.

[0045] For example, if during a certain charging phase, the initial fire warning state is determined to be a slightly deviated state, and the corresponding perception deviation value is 0.2 and the logical deviation value is 0.25, both of which are in the low range, then it is determined that there is no significant deviation at either the physical perception level or the logical judgment level, and thus the slightly deviated state remains unchanged. If during another charging phase, the initial fire warning state is also a slightly deviated state, but the perception deviation value is 0.7 and the logical deviation value is 0.3, indicating that the deviation at the physical perception level is significantly higher than that at the logical judgment level, then based on the deviation reflected at the physical perception level, the initial fire warning state is adjusted accordingly. The initial fire warning status is adjusted upwards to a significantly deviated state. Conversely, if the perceived deviation value is 0.3 and the logical deviation value is 0.75, the initial fire warning status is adjusted accordingly based on the deviation reflected at the logical judgment level. Furthermore, when both the perceived deviation value and the logical deviation value reach 0.8 or above, indicating a high degree of deviation at both the physical perception level and the logical judgment level, the initial fire warning status is further strengthened to make the final fire warning status correspond to a highly deviated state, thereby reflecting that the equipment's operating status has significantly deviated from the normal operating state on multiple levels.

[0046] Through the above-mentioned state correction process, the final determined fire warning state can comprehensively reflect the verification results of the equipment operation status at both the physical perception level and the logical judgment level, thereby obtaining a fire warning state that matches the current operation status of the charging pile system.

[0047] In this embodiment, in step S301, the deviations of the first and second verification results relative to the equipment status information are quantified to obtain the perception deviation value and the logic deviation value, thereby providing a comparable numerical basis for the deviations between the physical perception level and the logical judgment level. In step S302, the fire warning status is initially determined based on the overall operational offset of the equipment status information relative to the preset reference level, thereby determining the basic fire warning status position under normal operating conditions. In step S303, the initial fire warning status is corrected based on the combination relationship between the perception deviation value and the logic deviation value, so that the final fire warning status can simultaneously reflect the comprehensive conclusions of the perception verification and the logic verification. Based on this, in the entire technical solution, through the continuous processing flow of quantification, initial judgment, and correction, the unified determination of the fire warning status under the constraints of multi-layer verification results is realized, making the fire warning status determination process clear in hierarchy and consistent in basis.

[0048] In an exemplary embodiment, the combination relationship between the perceived deviation value and the logical deviation value includes: using one type of deviation between the perceived deviation value and the logical deviation value as the primary judgment basis, using the other type of deviation as the auxiliary judgment basis, and dynamically switching the primary judgment basis and the auxiliary judgment basis according to the scene characteristics of the current fire prevention early warning scenario.

[0049] For example, when the temperature, current, or environmental status reflected in the equipment status information changes significantly in a short period of time, and the corresponding initial fire warning status is already in a significantly deviated or highly deviated range, it is determined that the current fire warning scenario focuses primarily on equipment operation safety. In this case, the perceived deviation value is set as the primary judgment criterion, and the logical deviation value is set as the secondary judgment criterion. During the status correction process, the initial fire warning status is adjusted based on the perceived deviation value first. For example, when the deviation level corresponding to the perceived deviation value is higher than the level of the initial fire warning status, the initial fire warning status is directly upgraded to the level corresponding to the perceived deviation value, while the logical deviation value is only used to confirm whether the adjustment result needs to be further strengthened.

[0050] Conversely, when the overall change in equipment status information is gradual and the initial fire warning status is in the normal or slightly deviated range, but multiple logical verifications in the fire warning logic continuously fail to meet the judgment conditions, it is determined that the current fire warning scenario focuses on the consistency between the operating rules and the status logic. In this case, the logical deviation value is set as the primary judgment criterion, and the perceived deviation value is set as the secondary judgment criterion. During the status correction process, the initial fire warning status is adjusted based on the logical deviation value first. For example, when the deviation level corresponding to the logical deviation value is higher than the level of the initial fire warning status, the initial fire warning status is directly upgraded to the level corresponding to the logical deviation value, while the perceived deviation value is only used to limit the adjustment range or confirm whether a rollback is needed.

[0051] In an exemplary embodiment, according to the communication configuration of the IoT card preset in the charging pile system, the target device status information is preprocessed and sent to the connection management platform accessed by the IoT card, including steps S401 to S402.

[0052] Step S401: Based on the connection management semantics reflected in the communication configuration of the IoT card, semantic mapping is performed on the target device status information to convert the target device status information from the device status expression form of the charging pile system to the connection status expression form of the connection management platform, thereby obtaining semantic mapping information.

[0053] For example, after obtaining the target device status information, the charging pile system performs unified semantic mapping processing on the target device status information based on the connection management semantics reflected in the communication configuration of the IoT card, so as to realize the conversion from device-side status expression to connection management-side status expression. Here, connection management semantics represents the way the connection management platform understands the connection status of the access device. It focuses on the overall management status of the device under the current communication connection, such as the meaning of whether the device connection is in a normal and available state, a state that needs attention, or a state that is subject to restricted management.

[0054] During processing, the overall meaning of the target device status information is identified, clarifying the management meaning of each status within the context of connection management semantics. For example, statuses reflecting anomalies or risks are understood as states requiring key attention at the connection management level. Based on this, a unified state perspective is achieved, transitioning the target device status information from an operational perspective to a connection management perspective. Subsequently, according to the connection management platform's data organization requirements, the target device status information after the perspective shift is rearranged and organized. For instance, core status content representing connection status is centrally expressed, and its order is adjusted according to importance, ensuring the data structure and sequence conform to the connection management platform's processing methods. This forms semantic mapping information based on the connection status expression format.

[0055] Step S402: Based on the connection management path reflected in the communication configuration of the IoT card, the semantic mapping information is bound to the connection identifier of the IoT card and sent to the connection management platform.

[0056] For example, the charging pile system performs binding and sending processing on semantic mapping information based on the connection management path reflected in the communication configuration of the IoT card. The connection management path defines the location of the semantic mapping information within the connection management platform and its corresponding connection object. Essentially, it reflects the management path by which the connection management platform distinguishes and organizes different IoT connections. Specifically, before sending, the semantic mapping information is not directly reported as independent data. Instead, based on the connection management path, the semantic mapping information is first associated with the connection identifier corresponding to the IoT card itself. This clarifies the semantic mapping information's affiliation within the connection management platform during the generation stage, thus forming data content bound to a specific connection instance.

[0057] After completing the above binding, the semantic mapping information with the completed affiliation binding is sent to the connection management platform via the IoT SIM card, allowing the semantic mapping information to reach the corresponding affiliation location along the predetermined connection management path. In this way, after receiving the data, the connection management platform can directly complete status updates and maintenance based on the connection management path and connection identifier, without needing additional parsing of the device source or connection affiliation, thus achieving accurate location and continuous management of semantic mapping information at the connection management level.

[0058] In this embodiment, in step S401, the target device status information is semantically mapped according to the connection management semantics reflected in the communication configuration of the IoT card, thereby realizing the conversion of the device-side status expression to the connection management-side status expression, so that the obtained semantic mapping information can be directly understood and used by the connection management platform without changing the actual meaning; in step S402, according to the connection management path defined in the communication configuration, the semantically mapped status information is bound to the connection identifier corresponding to the IoT card and sent, so that the data clearly defines its connection affiliation at the generation stage and accurately delivers to the corresponding affiliation location along the predetermined path; based on this, in the entire technical solution, the accurate location and continuous management of device status information on the connection management platform side are realized through the processing method of combining semantic mapping and path binding, so that the fire prevention warning related status can be stably and clearly completed for docking and interaction.

[0059] In an exemplary embodiment, semantic mapping is performed on the target device status information based on the connection management semantics reflected by the communication configuration of the IoT card, so as to convert the target device status information from the device status expression form of the charging pile system into the connection status expression form of the connection management platform, thereby obtaining semantic mapping information, including steps S501 to S502.

[0060] Step S501: Based on the connection management semantics, the state perspective of the target device state information is transformed, so that the target device state information is transformed from the device state expression form to the connection state type at the connection management level.

[0061] For example, the target device status information within a charging pile system typically describes the current operating status of the device. However, the connection management platform focuses more on the manageability and availability of the charging pile system at the communication connection layer. Therefore, the status content originally formed from the perspective of device operation needs to be converted into connection status types formed from the perspective of connection management. Specifically, the status meanings contained in the target device status information are identified holistically to determine which states reflect whether the device operation is stable, whether there are risks or anomalies, and these status meanings are then reclassified into connection status types identifiable at the connection management layer. The connection status type summarizes the management status of the charging pile system under the current connection relationship. It can include connection status types indicating that the connection is in a normal and available state, connection status types indicating that the connection is in a state requiring attention, and connection status types indicating that the connection is in a restricted or abnormal state.

[0062] Optionally, when the fire warning status is determined to be the fire warning status corresponding to the normal operation status, the status is interpreted as the charging pile system having no risk factors under the current connection relationship, and is thus converted into a connection status type indicating that the connection is in a normal and usable state; when the fire warning status is determined to be the fire warning status corresponding to the fire warning status requiring attention, the status is interpreted as the charging pile system having risk factors that require key monitoring but have not yet affected the connection use, and is thus converted into a connection status type indicating that the connection is in a state requiring attention; furthermore, when the fire warning status is determined to be the fire warning status corresponding to the fire warning status of obvious deviation or high deviation, the status is interpreted as the equipment risk having a substantial impact on connection management, and is thus converted into a connection status type indicating that the connection is in a restricted or abnormal state.

[0063] Step S502: Based on the connection state type, the target device state information is rearranged to generate semantic mapping information based on the connection state expression form.

[0064] For example, the charging pile system rearranges and adjusts the order and structure of the existing state contents in the target device state information according to the connection state type, so that the state expression method matches the management focus of the connection management platform for different connection state types. Specifically, when the connection status type is "connection in normal and available state," the status content representing the normality and continuous availability of the connection is placed at the beginning of the overall status expression during the reordering process, while the fire warning status or other auxiliary status content is arranged at the end, so that the overall status information highlights the management meaning that the connection is stable and available. When the connection status type is "connection in a state requiring attention," the status content corresponding to the fire warning status is moved to the front during the reordering process, making it more prominent in the status expression, while the status content that still represents the sustainability of the connection is arranged after it, thus reflecting the management semantics of "connection available but requiring key attention" in the status structure. When the connection status type is "connection in a restricted or abnormal state," the status content directly related to the restricted or abnormal state is prioritized during the reordering process, making it the core part of the status expression, while other operational status content is arranged as supplementary information at the end, to highlight that the connection has entered a restricted or abnormal management state.

[0065] In this embodiment, in step S501, the state perspective of the target device state information is transformed according to the connection management semantics to obtain the connection state type at the connection management level, thereby normalizing the device operating state into a clear connection state expression at the connection management level. In step S502, the order of each state content in the target device state information is rearranged according to the determined connection state type to generate semantic mapping information based on the connection state expression form, so that the overall state expression conforms to the organization method of the connection management platform. Based on this, in the entire technical solution, through the continuous processing of state perspective transformation and state rearrangement, the device state information is transformed into a connection state expression form that conforms to the organization method of the connection management platform without changing its original meaning, thereby supporting the stable docking and consistent management between the charging pile system and the connection management platform in fire prevention and early warning scenarios.

[0066] In an exemplary embodiment, semantic mapping is performed on the target device status information based on the connection management semantics reflected by the communication configuration of the IoT card, so as to convert the target device status information from the device status expression form of the charging pile system into the connection status expression form of the connection management platform, thereby obtaining semantic mapping information, including steps S601 to S603.

[0067] Step S601: Based on the connection management semantics, the target device status information is semantically decomposed to obtain the fire warning status semantics and the device operation status semantics.

[0068] For example, the charging pile system performs semantic decomposition processing on the target device status information based on the connection management semantics reflected in the IoT card communication configuration. The core of this process is to distinguish which status contents reflect the risks and control factors of concern at the connection management level, and which reflect the device's own operational status. Specifically, the various status contents included in the target device status information are identified. The status contents characterizing the fire warning judgment result and its risk level are extracted separately and summarized into fire warning status semantics to describe whether the charging pile system is currently in a state of fire risk, requiring attention, or requiring restricted management. Simultaneously, the status contents characterizing the charging pile system's operational status, operating conditions, and operational continuity during the charging process are summarized into device operating status semantics to describe whether the charging pile system is in a basic operating state such as normal operation, continuous operation, or operation restriction.

[0069] For example, the target device status information contains multiple status items used to describe the current charging process. Some of these status items directly reflect the judgment results related to fire risk. For instance, the fire warning status recorded in the device status information is "needs attention", or it records status indicators such as abnormal temperature rise or abnormal odor, which have been judged as fire warnings. Such status items are identified as status information used to characterize the degree of fire risk during semantic segmentation, and are extracted and summarized separately into fire warning status semantics, which are used to describe whether the charging pile system is currently in a state of fire risk, needs to be given special attention, or needs to take restrictive management measures.

[0070] At the same time, the target device status information also includes operational status content that describes the charging process itself, such as whether it is currently charging, whether the charging process is continuous, and whether the device is in a working state. This type of status content mainly reflects the operation status and continuity of the charging pile system during the charging process. It is not directly equivalent to the fire risk assessment itself. Therefore, it is identified as status information related to the device operation status during semantic segmentation and is uniformly summarized as device operation status semantics, which is used to describe whether the charging pile system is in a normal operation, continuous operation, or limited operation status.

[0071] Step S602: Based on the fire warning status semantics and the equipment operation status semantics, construct the state combination relationship under the connection management semantics.

[0072] For example, the semantics of fire warning status and equipment operation status are compared side by side to clarify the combination of statuses reflected by the two in the same time dimension. Based on the focus of connection management implied in the connection management semantics, the different semantic combinations are organized into a combination expression with clear direction. For example, when the fire warning status semantics are determined to be no fire warning or only a mild warning state, and the equipment operation status semantics are determined to be in a continuous and stable charging operation state, then based on the connection management semantics which focuses primarily on connection availability and stability, these two semantics are organized into a state combination indicating that the connection is in a normal management state. When the fire warning status semantics are determined to be a clear fire warning, and the equipment operation status semantics still indicate that the equipment is still running and the connection is not directly affected, then based on the connection management semantics which focuses on both risk warning and operational maintainability, these two semantics are organized into a state combination indicating that the connection is maintainable but requires special attention. When the fire warning status semantics are determined to be a significantly increased fire risk, and the equipment operation status semantics simultaneously indicate that the equipment operation is restricted or interrupted, then based on the connection management semantics which focuses on connection security and controllability, these two semantics are organized into a state combination indicating that the connection has entered a restricted management or abnormal management state.

[0073] Optionally, the state combination relationship is expressed in a hierarchical vector form, where the semantics of the fire warning state and the semantics of the equipment operation state are mapped to different levels of value. Specifically, when the fire warning state is normal, the fire risk level is recorded as 0; when the fire warning state is a state requiring attention, the fire risk level is recorded as 1; and when the fire warning state is a state of significant deviation or high deviation, the fire risk level is recorded as 2. Simultaneously, when the equipment operation state is normal operation, the operation level is recorded as 0; when the equipment operation state is restricted operation, the operation level is recorded as 1; and when the equipment operation state is interrupted operation, the operation level is recorded as 2. Based on this, the device connection status at the connection management level is determined according to the combination of the fire risk level value and the operation level value. For example, when the value combination is (0, 0), the connection is determined to be in a normal and available state; when the value combination is (1, 0) or (0, 1), the connection is determined to be in a state requiring attention; when the value combination is (2, 1) or (1, 2) or (2, 2), the connection is determined to be in a restricted or abnormal state.

[0074] Step S603: Based on the state combination relationship, reconstruct the state expression of the target device state information to generate semantic mapping information based on the connection state expression form.

[0075] For example, the state combination relationship determined by the fire risk level value and the operation level value is read, and the connection management state pointed to by the state combination relationship is used as the central expression content of the reconstruction. For example, when the fire risk level value is 0 and the operation level value is 0, that is, the value combination is (0,0) and the connection is determined to be in a normal and available state, in the process of state expression reconstruction, according to the state combination relationship, the fire warning state and the equipment operation state are no longer expressed as independent parallel states, but are both included in the supporting description of "the connection is in a normal and available state". This makes the reconstructed state expression take "the connection state is normal and available" as the only main state, while the original normal fire warning state and equipment operation state only exist as the background description for the establishment of this only main state. Thus, at the state composition level, an expression structure is formed with the normal connection state as the main state and other states as subordinate states.

[0076] For example, when the fire risk level is 1 and the operation level is 0, or the fire risk level is 0 and the operation level is 1, i.e. the value combination is (1, 0) or (0, 1) and the connection is determined to be in a state requiring attention, during the state expression reconstruction process, based on this state combination relationship, the state content used to characterize the source of abnormality in the fire warning state or equipment operation state is incorporated into the meaning of the connection state, so that "the connection is in a state requiring attention" itself contains a directional explanation of the source of risk, while the other states that are still normal are no longer presented as the main state separately, but are only used to supplement the fact that the connection can still be maintained, so that the connection state simultaneously bears the dual meaning of risk warning and connection management judgment.

[0077] For example, when the fire risk level is 2 and the operation level is 1 or 2, or the fire risk level is 1 and the operation level is 2, i.e. the value combination is (2, 1) or (1, 2) or (2, 2) and the connection is determined to be in a restricted or abnormal state, in the process of state expression reconstruction, based on this state combination relationship, the abnormal fire warning state and the equipment operation state are no longer expressed separately, but are uniformly integrated into the value of the connection state. This makes the reconstructed state expression directly use "connection in a restricted state" or "connection in an abnormal state" as the only valid state content, and the other state information is only used as an internal judgment basis, thus forming an expression structure represented by the abnormal connection state at the state composition level.

[0078] The above method does not change the meaning of each state content in the target device status information. Instead, it adjusts the focus of attention based on the state combination relationship. The final semantic mapping information takes the connection state expression form as the core and organically integrates the fire warning state and the equipment operation state into a unified state expression structure.

[0079] In this embodiment, in step S601, the target device status information is semantically decomposed according to the connection management semantics to obtain fire warning status semantics and device operation status semantics, avoiding mixed expression of different attention dimensions at the same level; in step S602, based on the decomposed fire warning status semantics and device operation status semantics, a status combination relationship that conforms to the focus of the connection management side is constructed, thereby transforming the scattered status information into a combination basis that can directly point to the connection management side; in step S603, the status expression of the target device status information is reconstructed according to the status combination relationship, so that the multiple states that were originally presented in parallel are folded together and concentrated in the connection state, thereby forming an expression form with the connection state as the core; based on this, in the entire technical solution, through the continuous processing of semantic decomposition, combination association and expression reconstruction, the structured transformation of device-side status information to connection management-side connection state is realized, ensuring that the connection management platform accurately understands and consistently manages the device connection state in the fire warning scenario.

[0080] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0081] Based on the same inventive concept, this application also provides a charging pile system for implementing the IoT card connection management platform docking method described above. The solution provided by this charging pile system is similar to the solution described in the above method; therefore, the specific limitations in one or more charging pile system embodiments provided below can be found in the limitations of the IoT card connection management platform docking method described above, and will not be repeated here.

[0082] In one exemplary embodiment, such as Figure 2 As shown, a charging pile system is provided, including: a data acquisition module 201, a verification and judgment module 202, and a docking processing module 203, wherein: The data acquisition module 201 is used to acquire the equipment status information of the charging pile system when the charging pile system is in the charging state. The verification and judgment module 202 is used to verify and judge the status information of the equipment according to the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, and obtain the target equipment status information including the fire prevention early warning status; wherein, the fire prevention sensing hardware and fire prevention early warning logic are a dual support mechanism used in the preset AI fire prevention early warning system for verifying the equipment status information. The docking processing module 203 is used to perform docking preprocessing on the target device status information according to the communication configuration of the IoT card preset in the charging pile system and send it to the connection management platform accessed by the IoT card, so as to complete the docking interaction between the charging pile system and the connection management platform in the fire prevention early warning scenario.

[0083] Each module in the aforementioned charging pile system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0084] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of any of the above embodiments.

[0085] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above embodiments.

[0086] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods.

[0087] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0088] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for interfacing an Internet of Things card connection management platform, characterized in that, Applied to a pre-set charging pile system, the method includes: When the charging pile system is in a charging state, the equipment status information of the charging pile system is collected; Based on the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, the device status information is reviewed and the status is determined to obtain the target device status information including the fire prevention early warning status; wherein, the fire prevention sensing hardware and the fire prevention early warning logic are a dual support mechanism in the preset AI fire prevention early warning system used to review the device status information. According to the communication configuration of the IoT card preset in the charging pile system, the status information of the target device is preprocessed and sent to the connection management platform accessed by the IoT card, so as to complete the docking and interaction between the charging pile system and the connection management platform in the fire prevention early warning scenario.

2. The method of claim 1, wherein, The step involves verifying and determining the device status information based on the preset fire detection hardware and fire warning logic in the charging pile system, to obtain target device status information including fire warning status, including: The fire sensing data collected by the fire sensing hardware is compared with the device status information in each sensing dimension to obtain the first verification result. Extract each relevant item of the equipment status information at the fire prevention and early warning level, and judge each relevant item one by one according to the fire prevention and early warning logic to obtain the second review result; Based on the deviations of the first verification result and the second verification result relative to the equipment status information, and the deviations of the equipment status information relative to the preset reference level, the fire warning status corresponding to the charging pile system is determined to obtain the target equipment status information including the fire warning status.

3. The method of claim 2, wherein, The step of determining the fire warning status of the charging pile system based on the deviations of the first verification result and the second verification result relative to the equipment status information, and the deviation of the equipment status information relative to a preset reference level, includes: The deviations of the first verification result and the second verification result relative to the device status information are quantified to obtain the perception deviation value corresponding to the first verification result and the logic deviation value corresponding to the second verification result; Based on the deviation of the device status information from a preset reference level, an initial fire warning status is determined for the corresponding fire warning status of the charging pile system to obtain the initial fire warning status. Based on the combination relationship between the perceived deviation value and the logical deviation value, the initial fire warning state is corrected to obtain the fire warning state corresponding to the charging pile system.

4. The method of claim 3, wherein, The combined relationship between the perceived deviation value and the logical deviation value includes: One type of deviation between the perceived deviation value and the logical deviation value is used as the primary judgment criterion, and the other type of deviation is used as the secondary judgment criterion. The primary judgment criterion and the secondary judgment criterion are dynamically switched according to the scene characteristics of the current fire prevention and early warning scenario.

5. The method of claim 1, wherein, The step of performing preprocessing on the target device status information and sending it to the connection management platform accessed by the IoT card, based on the communication configuration of the IoT card preset in the charging pile system, includes: Based on the connection management semantics reflected in the communication configuration of the IoT card, semantic mapping is performed on the target device status information to convert the target device status information from the device status expression form of the charging pile system to the connection status expression form of the connection management platform, thereby obtaining semantic mapping information; Based on the connection management path reflected in the communication configuration of the IoT card, the semantic mapping information is bound to the connection identifier of the IoT card and sent to the connection management platform.

6. The method of claim 5, wherein, The step of semantically mapping the target device status information based on the connection management semantics reflected in the communication configuration of the IoT card, to convert the target device status information from the device status expression form of the charging pile system to the connection status expression form of the connection management platform, and obtaining semantic mapping information, includes: Based on the connection management semantics, the state perspective of the target device state information is transformed, so that the target device state information is transformed from a device state expression form to a connection state type at the connection management level. Based on the connection state type, the target device state information is rearranged to generate semantic mapping information based on the connection state expression form.

7. The method of claim 5, wherein, The step of semantically mapping the target device status information based on the connection management semantics reflected in the communication configuration of the IoT card, to convert the target device status information from the device status expression form of the charging pile system to the connection status expression form of the connection management platform, and obtaining semantic mapping information, includes: Based on the connection management semantics, the target device status information is semantically decomposed to obtain fire warning status semantics and device operation status semantics; Based on the fire warning state semantics and the equipment operation state semantics, construct the state combination relationship under the connection management semantics; Based on the state combination relationship, the state expression of the target device state information is reconstructed to generate semantic mapping information based on the connection state expression form.

8. A charging pile system, characterized in that, The system includes: The data acquisition module is used to acquire the equipment status information of the charging pile system when the charging pile system is in a charging state. The verification and determination module is used to verify and determine the status information of the equipment based on the fire prevention sensing hardware and fire prevention early warning logic preset in the charging pile system, so as to obtain the target equipment status information including the fire prevention early warning status; wherein, the fire prevention sensing hardware and the fire prevention early warning logic are a dual support mechanism in the preset AI fire prevention early warning system for verifying the equipment status information. The docking processing module is used to perform docking preprocessing on the target device status information according to the communication configuration of the IoT card preset in the charging pile system, and send it to the connection management platform accessed by the IoT card, so as to complete the docking interaction between the charging pile system and the connection management platform in the fire prevention early warning scenario.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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