A charging pile differentiated maintenance method and system based on use scenarios and running states

Abstract

The application relates to a charging pile differential maintenance method and system based on use scenarios and running states. The method comprises the following steps: obtaining maintenance items corresponding to a target charging pile and determining a basic maintenance period; obtaining use scenario information, external environment information and equipment running state information, and respectively determining a scenario correction coefficient, an external environment correction coefficient and an equipment running state correction coefficient; calculating a target maintenance period after comprehensive correction and limiting; calculating an equivalent running time length by weighting at least two types of running consumption data according to a weight combination of the maintenance items; determining a remaining maintenance time length according to the target maintenance period and the equivalent running time length; generating a differential maintenance reminder when the remaining maintenance time length is lower than a preset reminding threshold, and determining a maintenance task priority according to the remaining maintenance time length, an overrun degree and an importance weight; and clearing or deducting the equivalent running time length when a trusted maintenance record shows that the maintenance items have been completed or partially completed. The application can establish different maintenance consumption models for different maintenance items.

Description

Technical Field

[0001] This invention relates to the fields of remote operation and maintenance of electric vehicle charging facilities, equipment health management, predictive maintenance, and dynamic adjustment of maintenance cycles, and particularly to a differentiated maintenance method and system for charging piles based on usage scenarios and operating status.

[0002] This invention is applicable to charging pile equipment and charging station operation and maintenance platforms with operational status acquisition capabilities, remote communication capabilities, and maintenance reminder capabilities. It is especially applicable to DC charging piles, liquid-cooled charging piles, split charging systems, heavy truck charging stations, bus charging stations, industrial park charging stations, mining area charging stations, open-air high-temperature stations, high-dust stations, high-altitude stations, and coastal salt spray stations. Background Technology

[0003] With the widespread application of new energy vehicles, buses, electric heavy trucks, engineering vehicles, and logistics vehicles, the number of charging piles deployed in different regions, vehicle types, and environmental conditions is constantly increasing. Under different deployment scenarios, the environmental conditions, operating loads, and component aging rates of charging piles vary significantly. For example, in high-dust or mining areas, dustproof components and heat dissipation channels are more prone to dust accumulation; in open-air high-temperature or heavy-duty truck high-load scenarios, the workload of fans, power modules, and cooling systems is higher; and in coastal salt spray or high-humidity scenarios, insulation performance and the reliability of connection terminals are more easily affected.

[0004] Current charging pile maintenance methods typically rely on fixed maintenance cycles or manual judgment, such as conducting inspections and maintenance according to fixed months, fixed operating hours, or fixed work order schedules. These methods do not fully consider the differences between usage scenarios, external environments, and the actual operating status of the equipment, which can easily lead to insufficient maintenance of charging piles under high load or harsh environments, or over-maintenance of charging piles in normal scenarios.

[0005] Existing remote operation and maintenance systems can typically collect the operating status and alarm information of charging piles, but they are mostly used for fault alarms or post-event repairs. They lack a mechanism to collaboratively process information such as usage scenario tags, external environment information, cumulative operating data, fan running time, charging module operating temperature, heat dissipation channel pressure difference data, power derating information, and alarm counts in order to dynamically adjust the maintenance cycle for different maintenance items and calculate the remaining maintenance time.

[0006] Therefore, it is necessary to provide a differentiated maintenance method and system for charging piles based on usage scenarios and operating status, so that the maintenance cycle of charging piles can be dynamically adjusted according to the deployment scenario, external environment, and operating load characterized by cumulative running time, cumulative charging power, fan running time, charging module operating temperature, heat dissipation channel pressure difference data, and alarm count, and different maintenance consumption models can be adopted for different maintenance items, thereby improving maintenance timeliness and maintenance resource utilization efficiency. Summary of the Invention

[0007] The purpose of this invention is to provide a differentiated maintenance method and system for charging piles based on usage scenarios and operating status, so as to at least solve the problems of insufficient maintenance, over-maintenance, mismatch between maintenance reminders and actual operating conditions, and insufficient refinement of equipment health management caused by the adoption of a uniform maintenance cycle for existing charging piles.

[0008] The differentiated maintenance method in this application is based on the operating status data of charging pile equipment, and establishes different maintenance consumption models for different maintenance items. The operating status data includes at least one of the following: fan running time, charging module operating temperature, heat dissipation channel pressure difference data, power derating trigger count, power derating duration, insulation status, and alarm count. This method is not simply a work order management rule, but rather a dynamic calculation of the maintenance cycle and remaining maintenance time based on the charging pile equipment operating data.

[0009] Trusted maintenance records are used to prevent maintenance items from being accidentally or repeatedly reset. A trusted maintenance record includes at least a maintenance item identifier, a target charging pile identifier, maintenance completion time, and confirmation information. The confirmation information may include at least one of the following: QR code confirmation, electronic signature confirmation, on-site photo upload confirmation, equipment-side maintenance mode exit confirmation, and work order system completion confirmation.

[0010] To achieve the above objectives, this invention provides a differentiated maintenance method for charging piles based on usage scenarios and operating states, comprising: acquiring maintenance items corresponding to a target charging pile and determining the basic maintenance cycle corresponding to the maintenance items from a preset basic cycle configuration table; acquiring the usage scenario label, external environment information, and equipment operating state of the target charging pile; determining a scenario correction coefficient corresponding to the usage scenario label according to a preset scenario coefficient configuration table, determining an external environment correction coefficient corresponding to the external environment information according to a preset environment threshold configuration table, and determining an equipment operating state correction coefficient corresponding to the equipment operating state according to a preset state threshold configuration table; determining a comprehensive correction coefficient based on the scenario correction coefficient, the external environment correction coefficient, and the equipment operating state correction coefficient, and applying the correction coefficient to the charging pile. A comprehensive correction coefficient is used for amplitude limiting; the target maintenance cycle corresponding to the maintenance item is calculated based on the basic maintenance cycle and the amplitude-limited comprehensive correction coefficient; the weight coefficient combination corresponding to the maintenance item is determined from the weight coefficient configuration table according to the maintenance item, and the equivalent running time corresponding to the maintenance item is calculated based on the weight coefficient combination; the remaining maintenance time is determined based on the difference between the target maintenance cycle and the accumulated equivalent running time since the most recent completion of the maintenance item; when the remaining maintenance time is lower than the preset reminder threshold corresponding to the maintenance item, a differentiated maintenance reminder is generated; and the maintenance task priority is determined based on the remaining maintenance time, the degree of exceedance of the running data that triggers the differentiated maintenance reminder relative to the corresponding trigger threshold, and the importance weight corresponding to the maintenance item. When the trusted maintenance record indicates that the maintenance item has been completed or partially completed, the equivalent running time corresponding to the maintenance item is cleared or deducted, and the remaining maintenance time is re-determined based on the cleared or deducted equivalent running time.

[0011] In one optional implementation, the usage scenario tags, external environment information, and equipment operating status can come from the operation and maintenance platform, charging pile equipment terminal, site environment monitoring equipment, equipment ledger, installation and commissioning system, or other data sources. The above information is used for maintenance cycle calculation, equivalent runtime calculation, and maintenance reminder generation. The maintenance cycle calculation of this invention does not require the generation, distribution, or activation of the operating parameter set as a necessary condition.

[0012] In one alternative implementation, the usage scenario label includes at least one of the following: ordinary outdoor, open-air high temperature, underground garage, high dust, high altitude, coastal salt spray, high humidity, low temperature and cold, frequent thunderstorms, heavy truck high load, high frequency charging of public transportation, industrial park and mining area.

[0013] In one optional implementation, the external environmental information includes at least one of ambient temperature, humidity, rainfall information, wind speed information, dust level, altitude information, salt spray level, and weather warning information.

[0014] In one optional implementation, the device operating status includes at least one of the following: cumulative operating time, cumulative charging power, fan operating time, charging module operating temperature, heat dissipation channel differential pressure data, alarm count, power derating trigger count, power derating duration, maintenance records, output voltage, output current, insulation status, and humidity status.

[0015] In one alternative implementation, the target maintenance cycle is calculated as follows: Target maintenance cycle = Basic maintenance cycle × Comprehensive correction coefficient after limiting.

[0016] In one optional implementation, the equivalent runtime is used to convert operating data of different dimensions into a unified maintenance consumption amount. The equivalent runtime is calculated based on at least two of the following: cumulative runtime, cumulative charging power converted to runtime, fan runtime, cumulative time of exceeding the pressure difference limit in the heat dissipation channel, cumulative time of exceeding the temperature limit of the charging module, alarm count converted to runtime, and maintenance records.

[0017] In one optional implementation, the first to fifth weighting coefficients are determined from a weighting coefficient configuration table based on the maintenance items, with different weighting coefficient combinations corresponding to different maintenance items. For dustproof component replacement or heat dissipation channel cleaning, the weighting coefficient combination makes the contribution of the cumulative duration of excessive pressure difference in the heat dissipation channel to the equivalent operating time greater than that of the cumulative duration of fan operating time or charging module temperature exceeding the limit; for fan inspection, the weighting coefficient combination makes the contribution of fan operating time to the equivalent operating time greater; for insulation testing or connection terminal inspection, the weighting coefficient combination makes the contribution of abnormal states reflected by humidity, salt spray level, insulation status, and related alarm counts to the equivalent operating time greater; for whole-machine inspection, the weighting coefficient combination comprehensively considers the cumulative operating time, the cumulative charging power converted to time, the alarm count converted to time, and maintenance records.

[0018] In one optional implementation, the differentiated maintenance reminder includes the maintenance item, remaining maintenance time, the data type of the running data that triggers the differentiated maintenance reminder, the current value of the corresponding running data, and the corresponding trigger threshold.

[0019] In one optional implementation, when the maintenance record indicates that the target maintenance item for the target charging pile has been completed, the equivalent runtime corresponding to the target maintenance item is reset to zero; when the maintenance record indicates that the target maintenance item has only been partially completed, the equivalent runtime corresponding to the target maintenance item is deducted according to the degree of maintenance completion; and the remaining maintenance time is re-determined based on the reset or deducted equivalent runtime. The equivalent runtime corresponding to different maintenance items can be reset to zero or deducted separately, and resetting or deducting the equivalent runtime corresponding to one maintenance item does not affect the equivalent runtime corresponding to other maintenance items.

[0020] In one optional implementation, the urgency of maintenance is determined based on the remaining maintenance time; the risk level is determined based on the degree to which the operational data triggering the differentiated maintenance reminder exceeds the corresponding trigger threshold; the importance of the maintenance item is determined based on its corresponding importance weight; and the maintenance task priority is determined by comprehensively considering the urgency, the risk level, and the importance of the item. The maintenance task priority is then associated with the differentiated maintenance reminder and output to the maintenance personnel's terminal, site management system, or work order system.

[0021] This invention also provides a differentiated maintenance system for charging piles based on usage scenarios and operating status, including a configuration storage module, a scenario information acquisition module, an environmental information acquisition module, a status acquisition module, a maintenance calculation engine, and a message push module; the maintenance calculation engine includes a basic cycle determination unit, a scenario correction unit, an environmental correction unit, a status correction unit, a comprehensive correction unit, an equivalent running time calculation unit, a remaining time calculation unit, and a maintenance closed-loop update unit.

[0022] The present invention also provides an operation and maintenance platform, including a processor and a memory, wherein the memory stores a program, and when the program is executed by the processor, it implements the above-mentioned differentiated maintenance method for charging piles based on usage scenarios and operating states.

[0023] Compared with existing technologies, this invention has at least the following beneficial effects: First, by using scene tags, external environment information, and equipment operating status to jointly correct the basic maintenance cycle, the maintenance cycle can be matched with the actual deployment scenarios and operating load of charging piles; Second, by setting a basic cycle configuration table, scene coefficient configuration table, environmental threshold configuration table, status threshold configuration table, coefficient limit configuration table, reminder threshold configuration table, importance weight configuration table, and weight coefficient configuration table, the mapping relationship between the charging pile operating environment, equipment status, maintenance items, and maintenance task priorities is solidified into configurable parameters; Third, by limiting the comprehensive correction coefficient, the risk of the target maintenance cycle being excessively shortened under complex and severe working conditions is reduced. Fourth, by converting operational data of different dimensions into maintenance cycle consumption through equivalent runtime, and using different weighting coefficient combinations for different maintenance items, the stability and relevance of the remaining maintenance time calculation results are improved; Fifth, by including trigger data type, current trigger data value, and trigger threshold in differentiated maintenance reminders, and associating them with maintenance task priorities, maintenance personnel can identify the specific reasons for maintenance reminders and determine the processing order; Sixth, by using a clearing or deduction mechanism after maintenance is completed, each maintenance item forms an independent closed loop, preventing completed items from continuing to consume maintenance cycles, while not affecting the accumulation of equivalent runtime for other maintenance items. Attached Figure Description

[0024] Figure 1 This is a schematic diagram of a differentiated maintenance system for charging piles based on usage scenarios and operating status, provided as an embodiment of the present invention.

[0025] Figure 2 This is a flowchart illustrating a differentiated maintenance method for charging piles based on usage scenarios and operating states, provided by an embodiment of the present invention, wherein S1 to S10 represent the steps corresponding to claim 1.

[0026] Figure 3 This is a structural diagram of a maintenance calculation engine and message push module provided in an embodiment of the present invention.

[0027] Figure 4 This is a schematic diagram of a dynamic correction calculation for maintenance cycle provided in an embodiment of the present invention.

[0028] Figure 5 This is a schematic diagram of equivalent runtime calculation provided in an embodiment of the present invention.

[0029] Figure 6 This is a schematic diagram of a closed-loop update process for maintenance items provided in an embodiment of the present invention.

[0030] Figure 7 This is a schematic diagram illustrating the determination of maintenance task priority according to an embodiment of the present invention.

[0031] The reference numerals are as follows: 140 represents the charging pile device end; 210 represents the scene information acquisition module; 220 represents the environment information acquisition module; 230 represents the status acquisition module; 240 represents the maintenance calculation engine; 241 represents the basic cycle determination unit; 242 represents the scene correction unit; 243 represents the environment correction unit; 244 represents the status correction unit; 245 represents the remaining time calculation unit; 246 represents the comprehensive correction unit; 247 represents the maintenance closed-loop update unit; 248 represents the equivalent running time calculation unit; 250 represents the message push module; 260 represents the configuration storage module; S1 to S10 represent the method steps. Detailed Implementation

[0032] The embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the described embodiments are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. Unless otherwise specified, the embodiments and technical features described in this specification can be combined with each other.

[0033] like Figure 1As shown, this embodiment provides a differentiated maintenance system for charging piles based on usage scenarios and operating status. The system includes a scenario information acquisition module 210, an environmental information acquisition module 220, a status acquisition module 230, a maintenance calculation engine 240, a message push module 250, and a configuration storage module 260. In an optional embodiment, the system is also communicatively connected to the charging pile device terminal 140.

[0034] The storage module 260 is configured to store the following tables: basic cycle configuration table, scenario coefficient configuration table, environmental threshold configuration table, state threshold configuration table, coefficient limiting configuration table, reminder threshold configuration table, importance weight configuration table, and weight coefficient configuration table. The basic cycle configuration table records the basic maintenance cycle corresponding to different maintenance items; the scenario coefficient configuration table records the candidate scenario correction coefficients corresponding to different usage scenario tags; the environmental threshold configuration table records the first environmental threshold, second environmental threshold, first environmental correction value, and second environmental correction value corresponding to different external environmental information; the state threshold configuration table records the ordinary and severe abnormal thresholds corresponding to the fan operating percentage, charging module operating temperature, heat dissipation channel pressure difference data, power derating trigger times, power derating duration, insulation status, and alarm times; the coefficient limiting configuration table records the lower and upper limits of the comprehensive correction coefficient; the reminder threshold configuration table records the preset reminder thresholds corresponding to different maintenance items; the importance weight configuration table records the importance weights corresponding to different maintenance items; and the weight coefficient configuration table records the equivalent runtime weight coefficient combinations corresponding to different maintenance items.

[0035] The scenario information acquisition module 210 is used to acquire the usage scenario tags of the target charging pile. These tags can be obtained from the order system, delivery system, installation documentation system, site management system, or through manual input. The environmental information acquisition module 220 is used to acquire external environmental information. This information can be obtained based on the target charging pile's installation address, latitude and longitude, site sensors, meteorological data, or environmental monitoring equipment. The status acquisition module 230 is used to acquire the equipment's operating status. This status can be uploaded by the charging pile device itself 140 or obtained from historical operating data statistics by the cloud management platform.

[0036] The maintenance calculation engine 240 is used to determine the basic maintenance cycle corresponding to a maintenance item, determine the scenario correction coefficient based on the usage scenario label, determine the external environment correction coefficient based on external environment information, determine the equipment operating status correction coefficient based on the equipment operating status, calculate the target maintenance cycle based on the basic maintenance cycle, scenario correction coefficient, external environment correction coefficient, and equipment operating status correction coefficient, calculate the equivalent runtime based on the weight coefficient combination corresponding to the maintenance item, and calculate the remaining maintenance time based on the target maintenance cycle and the equivalent runtime. The message push module 250 is used to generate and push a differentiated maintenance reminder corresponding to the maintenance item when the remaining maintenance time corresponding to the maintenance item is lower than the preset reminder threshold corresponding to the maintenance item.

[0037] like Figure 2 As shown, this embodiment provides a differentiated maintenance method for charging piles based on usage scenarios and operating status, including steps S1 to S10.

[0038] S1. Obtain the maintenance items corresponding to the target charging pile and determine the basic maintenance cycle corresponding to the maintenance items. The maintenance items may include at least one of the following: dustproof component replacement, fan inspection, heat dissipation channel cleaning, insulation testing, connection terminal inspection, and whole-machine inspection. S2. Obtain the target charging pile's usage scenario information, external environment information, and equipment operating status information.

[0039] S3. Determine the scenario correction coefficient based on the usage scenario information, determine the external environment correction coefficient based on the external environment information, and determine the equipment operating status correction coefficient based on the equipment operating status information. In one implementation, the scenario correction coefficient corresponding to ordinary outdoor scenarios can be set to 1, while the scenario correction coefficient corresponding to scenarios such as high dust, mining areas, open-air high temperature, heavy truck high load, coastal salt spray, or high-frequency charging of buses can be less than 1, in order to shorten the target maintenance cycle.

[0040] For the external environment correction coefficient, the cumulative duration of dust level, humidity, and ambient temperature exceeding the preset temperature threshold within the preset statistical period, as well as the salt spray level, can be compared with the first and second environmental thresholds corresponding to them in the preset environmental threshold configuration table, and the external environment correction coefficient can be determined accordingly.

[0041] The equipment operating status correction coefficient can be determined by judging whether the ratio of the fan running time to the cumulative running time, the cumulative duration of the charging module operating temperature exceeding the limit, the cumulative duration of the heat dissipation channel pressure difference exceeding the limit, the number of power derating triggers, the duration of power derating, the insulation status, and the number of alarms meet the corresponding abnormal conditions, and the equipment operating status correction coefficient can be determined accordingly.

[0042] In one optional implementation, the status threshold configuration table includes ordinary anomaly thresholds and severe anomaly thresholds. Ordinary anomaly thresholds are used to determine whether multiple operating status indicators jointly represent maintenance needs; severe anomaly thresholds are used to determine whether a single operating status indicator has reached a level requiring early maintenance. When the differential pressure data of the heat dissipation channel exceeds a preset severe differential pressure threshold, the operating temperature of the charging module exceeds a preset severe temperature threshold, the duration of power derating exceeds a preset severe derating duration, or the insulation status meets preset severe insulation anomaly conditions, the maintenance calculation engine 240 determines the equipment operating status correction coefficient to a value less than 1 and shortens the target maintenance cycle for the corresponding maintenance item.

[0043] S4 calculates the target maintenance cycle based on the basic maintenance cycle, scenario correction factor, external environment correction factor, and equipment operating status correction factor. For example... Figure 4 As shown, the maintenance calculation engine determines the comprehensive correction coefficient based on the product of the scene correction coefficient, the external environment correction coefficient, and the equipment operating status correction coefficient, and then performs amplitude limiting on the comprehensive correction coefficient.

[0044] In one optional implementation, the preset range of the comprehensive correction coefficient includes a lower limit and an upper limit. The lower limit can be any value between 0.4 and 0.8, and the upper limit can be any value between 1.0 and 1.5. By limiting the comprehensive correction coefficient, it is possible to avoid the continuous superposition of multiple correction coefficients less than 1, which would lead to an excessively short target maintenance cycle, and also to prevent the target maintenance cycle from being unreasonably extended under normal operating conditions. The target maintenance cycle can be calculated as follows: Target maintenance cycle = Basic maintenance cycle × Limited comprehensive correction coefficient.

[0045] S5. Determine the weight combination corresponding to the maintenance item from the weight coefficient configuration table based on the maintenance item. S6. Calculate the equivalent running time based on the weight combination and the cumulative running data in the equipment operating status. S7. Determine the remaining maintenance time based on the difference between the target maintenance cycle and the cumulative equivalent running time since the most recent completion of the corresponding maintenance item.

[0046] In one optional implementation, the cumulative charging capacity conversion time can be determined as follows: Cumulative charging capacity conversion time = Cumulative charging capacity since the most recent completion of the corresponding maintenance task / Preset unit capacity conversion factor. The alarm count conversion time can be determined as follows: Alarm count conversion time = Number of alarms × Preset single alarm conversion time. For power derating related alarms, insulation abnormality alarms, humidity abnormality alarms, salt spray related alarms, and connection terminal abnormality alarms, different single alarm conversion times can be set separately.

[0047] In one optional implementation, the equivalent runtime is calculated as follows: Equivalent runtime = Cumulative runtime + First weighting coefficient × Cumulative charging capacity conversion time + Second weighting coefficient × Fan runtime + Third weighting coefficient × Cumulative time of excessive pressure difference in heat dissipation channel + Fourth weighting coefficient × Cumulative time of excessive temperature of charging module + Fifth weighting coefficient × Alarm count conversion time.

[0048] The cumulative duration of excessive pressure difference in the heat dissipation channel is the cumulative duration during which the pressure difference data in the heat dissipation channel exceeds the preset pressure difference threshold; the cumulative duration of excessive temperature in the charging module is the cumulative duration during which the operating temperature of the charging module is higher than the preset module temperature threshold. The first to fifth weight coefficients are determined from the weight coefficient configuration table based on the maintenance items. Different maintenance items correspond to different combinations of weight coefficients, giving different maintenance consumption models for different maintenance items.

[0049] For dustproof component replacement or heat dissipation channel cleaning, the third weighting coefficient corresponding to the cumulative duration of excessive differential pressure in the heat dissipation channel can be greater than the second weighting coefficient corresponding to the fan running time and the fourth weighting coefficient corresponding to the cumulative duration of excessive charging module temperature. For fan inspection, the second weighting coefficient corresponding to the fan running time can be greater than the third weighting coefficient corresponding to the cumulative duration of excessive differential pressure in the heat dissipation channel and the fifth weighting coefficient corresponding to the alarm count conversion time. For insulation testing or connection terminal inspection, the fifth weighting coefficient corresponding to the alarm count conversion time can be greater than the second weighting coefficient corresponding to the fan running time, and the alarm count conversion time can be determined based on at least one of insulation abnormality alarms, humidity abnormality alarms, salt spray related alarms, and connection terminal abnormality alarms. For whole-machine inspection, the weighting coefficient combination can comprehensively consider the cumulative running time, the cumulative charging power conversion time, the alarm count conversion time, and maintenance records.

[0050] S8. When the remaining maintenance time is lower than the preset reminder threshold, generate a corresponding differentiated maintenance reminder based on the maintenance item and the data type of the operation that triggered the reduction in remaining maintenance time. S9. Determine the priority of the maintenance task based on the remaining maintenance time, the degree to which the operation data triggering the differentiated maintenance reminder exceeds the corresponding trigger threshold, and the importance weight of the maintenance item. S10. When a reliable maintenance record indicates that a maintenance item has been completed or partially completed, reset or deduct the equivalent runtime corresponding to that maintenance item, and re-determine the remaining maintenance time.

[0051] like Figure 3As shown, the maintenance calculation engine 240 may include a basic cycle determination unit 241, a scene correction unit 242, an environment correction unit 243, a state correction unit 244, a comprehensive correction unit 246, an equivalent runtime calculation unit 248, a remaining runtime calculation unit 245, and a maintenance closed-loop update unit 247; the message push module 250 is communicatively connected to the maintenance calculation engine 240. The above eight units collectively support the complete execution of the method described in claims 1 to 8.

[0052] like Figure 4 As shown, the basic maintenance cycle, scenario correction coefficient, external environment correction coefficient, and equipment operating status correction coefficient are all used in the calculation of the target maintenance cycle. The comprehensive correction coefficient, after amplitude limiting, is used to determine the target maintenance cycle, thereby avoiding the excessive shortening of the maintenance cycle due to the superposition of multiple severe operating condition coefficients, and also avoiding the unreasonable extension of the maintenance cycle under normal operating conditions.

[0053] like Figure 5 As shown, the equivalent runtime can be calculated by weighting at least two of the following: cumulative runtime, cumulative charging power conversion time, fan runtime, cumulative time of exceeding the pressure difference limit in the heat dissipation channel, cumulative time of exceeding the temperature limit of the charging module, and alarm count conversion time. Different maintenance items correspond to different weight combinations to form a differentiated maintenance consumption model.

[0054] like Figure 6 As shown, when a differentiated maintenance reminder is triggered, the operations and maintenance personnel or the operations and maintenance system perform the maintenance task and generate a trusted maintenance record. If the trusted maintenance record indicates that the maintenance task has been completed, the corresponding equivalent runtime is reset to zero; if it is only partially completed, the runtime is deducted according to the degree of maintenance completion, and the remaining maintenance time is recalculated.

[0055] like Figure 7 As shown, the priority of maintenance tasks can be determined based on the remaining maintenance time, the degree to which the triggered operation data exceeds the corresponding trigger threshold, and the importance weight of the maintenance item. This priority is then linked to differentiated maintenance reminders and output to the maintenance personnel's terminal, site management system, or work order system. The importance weight refers to a quantitative value representing the degree of impact of different maintenance items on charging safety, continuous operation capability, or component lifespan; different maintenance items correspond to different importance weights.

[0056] The basic maintenance cycle determination unit 241 is used to determine the basic maintenance cycle corresponding to the maintenance item. Different maintenance items can have different basic maintenance cycles, such as the dustproof component replacement cycle, fan inspection cycle, heat dissipation channel cleaning cycle, insulation testing cycle, connection terminal inspection cycle, and whole machine inspection cycle. The scenario correction unit 242 is used to determine the scenario correction coefficient based on the usage scenario label. The environment correction unit 243 is used to determine the external environment correction coefficient based on external environment information. The status correction unit 244 is used to determine the equipment operating status correction coefficient based on the equipment operating status. The comprehensive correction unit 246 is used to determine the comprehensive correction coefficient based on the product of the scenario correction coefficient, the external environment correction coefficient, and the equipment operating status correction coefficient, to limit the comprehensive correction coefficient according to the coefficient limit configuration table, and to calculate the target maintenance cycle based on the basic maintenance cycle and the limited comprehensive correction coefficient. The equivalent running time calculation unit is used to calculate the equivalent running time based on the weight coefficient combination corresponding to the maintenance item. The remaining time calculation unit 245 is used to calculate the remaining maintenance time based on the target maintenance cycle and the equivalent running time. The maintenance closed-loop update unit 247 is used to reset or deduct the equivalent runtime of the corresponding maintenance items based on the maintenance records.

[0057] In one specific implementation, when the target charging pile has a high dust or mining area usage scenario label, the maintenance calculation engine 240 determines an external environment correction coefficient based on the dust level and an equipment operating status correction coefficient based on the heat dissipation channel pressure difference data and the cumulative duration of the heat dissipation channel pressure difference exceeding the limit. For example, when the dust level reaches a preset dust level threshold, the external environment correction coefficient is determined to be less than 1; when the cumulative duration of the heat dissipation channel pressure difference data exceeding the preset pressure difference threshold exceeds the preset pressure difference duration, the equipment operating status correction coefficient is determined to be less than 1. The maintenance calculation engine determines a comprehensive correction coefficient based on the scenario correction coefficient, the external environment correction coefficient, and the equipment operating status correction coefficient, and after limiting the comprehensive correction coefficient, shortens the target maintenance cycle corresponding to the replacement of dustproof components or cleaning of heat dissipation channels.

[0058] For dustproof component replacement or heat dissipation channel cleaning, the third weighting coefficient in the weighting coefficient configuration table, corresponding to the cumulative duration of excessive pressure difference in heat dissipation channels, is greater than the second weighting coefficient corresponding to the fan operating time and the fourth weighting coefficient corresponding to the cumulative duration of excessive charging module temperature. This makes the contribution of heat dissipation channel blockage, dust accumulation, or filter component blockage to the equivalent operating time greater. Therefore, in high-dust or mining environments, even if the natural calendar time has not yet reached the fixed maintenance cycle, dustproof component replacement or heat dissipation channel cleaning reminders can be generated in advance due to the shortened target maintenance cycle and the rapid accumulation of equivalent operating time.

[0059] In one specific implementation, when the target charging pile is tagged with outdoor high temperature or heavy truck high load usage scenarios, the maintenance calculation engine determines the equipment operating status correction coefficient based on at least two of the following: charging module operating temperature, power derating trigger count, power derating duration, and fan running time. For example, when the cumulative duration for which the charging module operating temperature is higher than a preset module temperature threshold exceeds a preset high temperature duration, and the power derating trigger count is greater than a preset derating count threshold, the maintenance calculation engine determines the equipment operating status correction coefficient to be a value less than 1; when the ratio of fan running time to cumulative running time is greater than a preset fan running percentage threshold, the maintenance calculation engine further shortens the target maintenance cycle corresponding to fan inspection or cooling system maintenance.

[0060] For fan inspections, the second weighting coefficient corresponding to fan operating time in the weighting coefficient configuration table is greater than the third weighting coefficient corresponding to the cumulative duration of excessive pressure difference in the heat dissipation channel and the fifth weighting coefficient corresponding to the alarm count conversion time, making the contribution of long-term fan operation to the equivalent operating time greater. For heat dissipation system maintenance, the weighting coefficient combination can simultaneously increase the weight of fan operating time, cumulative duration of excessive charging module temperature, and alarm conversion time related to power derating. Therefore, in outdoor high-temperature or heavy-duty truck high-load scenarios, fan inspections or heat dissipation system maintenance can be triggered in advance based on the actual heat load, derating status, and fan usage intensity.

[0061] In one specific implementation, when the target charging pile has a coastal salt spray or high humidity usage scenario label, the maintenance calculation engine determines the external environment correction coefficient and the equipment operating status correction coefficient based on the salt spray level, humidity, insulation status, and related alarm counts. For example, when the salt spray level reaches a preset salt spray level threshold or the humidity is greater than a preset humidity threshold, the external environment correction coefficient is determined to be a value less than 1; when the insulation status is abnormal, or the number of at least one of the following alarms exceeds the corresponding alarm count threshold: insulation abnormality alarm, terminal temperature rise alarm, grounding abnormality alarm, humidity abnormality alarm, salt spray related alarm, and connection terminal abnormality alarm, the equipment operating status correction coefficient is determined to be a value less than 1.

[0062] For insulation testing or connection terminal inspection, the fifth weighting factor corresponding to the alarm count conversion duration in the weighting factor configuration table is greater than the second weighting factor corresponding to the wind turbine operating time. Furthermore, the alarm count conversion duration can be accumulated based on insulation anomaly alarms, humidity anomaly alarms, salt spray-related alarms, and connection terminal anomaly alarms. Therefore, in coastal salt spray or high humidity scenarios, the maintenance calculation engine can shorten the target maintenance cycle for insulation testing or connection terminal inspection and generate corresponding differentiated maintenance reminders earlier due to the increased weight of the relevant alarm count conversion duration.

[0063] In one specific implementation, when the maintenance record indicates that the target maintenance item for the target charging pile has been completed, the maintenance calculation engine can reset the equivalent runtime corresponding to the target maintenance item to zero, and re-accumulate the cumulative runtime, cumulative charging capacity converted runtime, fan runtime, cumulative runtime of excessive pressure difference in the heat dissipation channel, cumulative runtime of excessive temperature of the charging module, and alarm count converted runtime corresponding to the maintenance item from the maintenance completion time. Different maintenance items have corresponding cumulative equivalent runtime values, and resetting the runtime of one maintenance item after completion does not affect the cumulative equivalent runtime values ​​of other maintenance items.

[0064] In another implementation, when the maintenance record indicates that the target maintenance task is partially completed, the maintenance calculation engine can deduct the equivalent runtime corresponding to the target maintenance task based on the degree of completion. For example, when only partial cleaning of the heat dissipation channel is completed, the equivalent runtime corresponding to the heat dissipation channel cleaning can be deducted according to a preset deduction ratio; when dustproof components are replaced, the equivalent runtime corresponding to the dustproof component replacement can be reset to zero; when only partial tightening or inspection of the connection terminals is completed, the equivalent runtime corresponding to the connection terminal inspection can be deducted according to the number of completed terminals, the inspection area, or a preset maintenance completion ratio. The maintenance calculation engine recalculates the remaining maintenance time based on the reset or deducted equivalent runtime.

[0065] In one specific implementation, when generating differentiated maintenance reminders, the message push module can also determine the priority of maintenance tasks based on the remaining maintenance time, the degree to which the operating data triggering the differentiated maintenance reminder exceeds the corresponding trigger threshold, and the importance weight of the maintenance item. For example, the shorter the remaining maintenance time, the higher the urgency of maintenance; the greater the degree to which the differential pressure data of the heat dissipation channel, the operating temperature of the charging module, humidity, salt spray level, number of insulation abnormalities, or duration of power derating exceeds the corresponding trigger threshold, the higher the risk level; dustproof component replacement, fan inspection, insulation testing, connection terminal inspection, and whole-machine inspection can each be configured with different importance weights to reflect the impact of different maintenance items on charging safety, continuous operation capability, or component lifespan.

[0066] The maintenance task priority can be associated with differentiated maintenance reminders and output to the operations and maintenance personnel's terminal, site management system, or work order system. The differentiated maintenance reminders can include maintenance items, remaining maintenance time, trigger data type, current value of the running data, corresponding trigger threshold, degree of exceeding limits, maintenance task priority, and suggested handling actions, so that operations and maintenance personnel can determine the processing order when multiple maintenance reminders exist simultaneously.

[0067] In one exemplary implementation, the basic maintenance cycle for replacing dustproof components in a normal outdoor scenario is 180 days. When the target charging pile is in a high-dust scenario and the dust level is greater than or equal to the preset dust level threshold, both the scenario correction coefficient and the external environment correction coefficient are less than 1. When the cumulative duration of the pressure difference exceeding the limit in the heat dissipation channel is greater than the preset pressure difference duration, the equipment operation status correction coefficient is less than 1. Based on this, the maintenance calculation engine shortens the target maintenance cycle corresponding to the replacement of dustproof components and increases the weight of the cumulative duration of the pressure difference exceeding the limit in the equivalent operating time.

[0068] In one exemplary implementation, the basic maintenance cycle for wind turbine inspection in a normal outdoor scenario is 90 days. When the target charging pile is in a heavy-duty truck high-load scenario, and the number of power derating triggers exceeds the preset derating number threshold or the power derating duration exceeds the preset derating duration, the maintenance calculation engine shortens the target maintenance cycle corresponding to the wind turbine inspection, and increases the weight of wind turbine running time, charging module temperature over-limit cumulative duration, or power derating related alarm conversion duration in the equivalent running time, so as to generate wind turbine inspection reminders or heat dissipation system maintenance reminders.

[0069] In one exemplary embodiment, the reminder threshold configuration table includes reminder thresholds for dustproof component replacement, heat dissipation channel cleaning, fan inspection, insulation testing, connection terminal inspection, and overall machine inspection. The reminder thresholds for different maintenance items can be set according to the importance of the maintenance item, maintenance preparation time, and historical fault data.

[0070] The differentiated maintenance reminders generated by this invention are used to prompt maintenance personnel or the maintenance system to inspect, clean, replace, or test target maintenance items. The usage scenario tags, external environment information, and equipment operating status used in this invention are for maintenance cycle correction, equivalent runtime calculation, remaining maintenance time calculation, and maintenance reminder generation, but are not used to determine operating parameter templates, generate structured operating parameter sets, or execute operating parameter distribution. The maintenance cycle calculation of this invention does not require the generation, distribution, or effectiveness of the operating parameter set as a necessary condition; the differentiated maintenance reminders of this invention do not require the charging pile equipment to perform operating parameter switching, buffer switching, parameter readback verification, or security degradation control.

[0071] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, or combinations made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A differentiated maintenance method for charging piles based on usage scenarios and operating status, characterized in that, include: S1. Obtain the maintenance items corresponding to the target charging pile and determine the basic maintenance cycle corresponding to the maintenance items; S2. Obtain the usage scenario information, external environment information, and equipment operating status information of the target charging pile; S3. Determine the scenario correction coefficient based on the usage scenario information, determine the external environment correction coefficient based on the external environment information, and determine the device operating status correction coefficient based on the device operating status information; S4. Determine the comprehensive correction coefficient based on the scenario correction coefficient, external environment correction coefficient, and equipment operating status correction coefficient; perform amplitude limiting on the comprehensive correction coefficient; and calculate the target maintenance cycle corresponding to the maintenance item based on the basic maintenance cycle and the amplitude-limited comprehensive correction coefficient. S5. Determine the corresponding weight combination based on the maintenance items; S6. Based on the weight combination, perform weighted calculation on at least two types of operation consumption data to obtain the equivalent runtime corresponding to the maintenance item; S7. Determine the remaining maintenance time corresponding to the maintenance item based on the target maintenance cycle and the equivalent runtime; S8. When the remaining maintenance time is lower than the preset reminder threshold, generate a differentiated maintenance reminder corresponding to the maintenance item; S9. Determine the priority of maintenance tasks based on the remaining maintenance time, the degree to which the running data that triggered the differentiated maintenance reminder exceeded the corresponding trigger threshold, and the importance weight of the maintenance item. S10. When the trusted maintenance record indicates that the maintenance item has been completed or partially completed, the equivalent runtime corresponding to the maintenance item is cleared or deducted, and the remaining maintenance time corresponding to the maintenance item is re-determined based on the cleared or deducted equivalent runtime.

2. The method according to claim 1, characterized in that, The maintenance items include at least one of the following: replacement of dustproof parts, inspection of fans, cleaning of heat dissipation channels, insulation testing, inspection of connection terminals, and inspection of the entire machine.

3. The method according to claim 1, characterized in that, The usage scenario information is used to determine the scenario correction coefficient, the external environment information is used to determine the external environment correction coefficient, and the device operating status information is used to determine the device operating status correction coefficient.

4. The method according to claim 3, characterized in that, The comprehensive correction coefficient is determined based on the scenario correction coefficient, the external environment correction coefficient, and the equipment operating status correction coefficient. The comprehensive correction coefficient is then subjected to amplitude limiting. The target maintenance cycle is calculated based on the basic maintenance cycle and the amplitude-limited comprehensive correction coefficient.

5. The method according to claim 1, characterized in that, The operational consumption data includes the cumulative duration of excessive pressure difference in the heat dissipation channel and the operating time of the fan, and further includes at least one of the following: cumulative operating time, cumulative charging power conversion time, cumulative duration of excessive temperature of the charging module, and alarm number conversion time.

6. The method according to claim 1, characterized in that, Different maintenance items correspond to different weight combinations; for dustproof component replacement or heat dissipation channel cleaning, the weight of the cumulative duration of excessive differential pressure in the heat dissipation channel is higher than the weight of the fan running time; for fan inspection, the weight of the fan running time is higher than the weight of the alarm count converted into time; for insulation testing or connection terminal inspection, the weight of the relevant alarm count converted into time is higher than the weight of the fan running time.

7. The method according to claim 1, characterized in that, The equipment operating status information includes at least one of the following: power derating trigger count, power derating duration, fan running time, charging module operating temperature, heat dissipation channel differential pressure data, insulation status, and alarm count.

8. The method according to claim 1, characterized in that, The trusted maintenance record includes a maintenance item identifier, a target charging pile identifier, a maintenance completion time, and confirmation information. The confirmation information includes at least one of the following: QR code confirmation, electronic signature confirmation, on-site photo upload confirmation, equipment-side maintenance mode exit confirmation, and work order system completion confirmation.

9. A differentiated maintenance system for charging piles based on usage scenarios and operating status, characterized in that, It includes a configuration storage module (260), a scene information acquisition module (210), an environment information acquisition module (220), a status acquisition module (230), a maintenance calculation engine (240), and a message push module (250); the maintenance calculation engine (240) is used to execute the method described in any one of claims 1 to 8, and includes a basic cycle determination unit (241), a scene correction unit (242), an environment correction unit (243), a status correction unit (244), a comprehensive correction unit (246), an equivalent runtime calculation unit (248), a remaining runtime calculation unit (245), and a maintenance closed-loop update unit (247).

10. An operation and maintenance platform, comprising a processor and a memory, wherein the memory stores a program that, when executed by the processor, implements the method according to any one of claims 1 to 8.

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