Automobile charging pile detection management system

Abstract

The invention provides an automobile charging pile detection management system, which comprises a data acquisition module, an information processing module and a safety early warning module, and is characterized in that the data acquisition module is used for acquiring voltage data, current data and temperature data of a plurality of automobile charging piles in idle, fast charging and slow charging states in an area; the information processing module is used for recording the data acquired by the data acquisition module, filing according to different states of idle, fast charging and slow charging processed by the automobile charging pile, and calculating and recording temperature rise and temperature difference in the fast charging and slow charging states to form a corresponding data set; and the safety early warning module is used for judging the running state of the automobile charging pile according to the data in the real-time data set and sending out early warning to the outside in time when abnormity exists. Aiming at the defects in the prior art, the invention provides the automobile charging pile detection management system which is high in detection efficiency, high in accuracy and good in early warning effect.

Description

Technical Field

[0001] This invention relates to the field of charging piles, and in particular to a vehicle charging pile detection and management system. Background Technology

[0002] With the global energy structure transformation and the advancement of carbon neutrality goals, the new energy vehicle industry has experienced explosive growth. As a core supporting facility, electric vehicle charging piles have become a key component of urban infrastructure construction. However, due to factors such as voltage fluctuations, current surges, and environmental erosion, charging piles are prone to problems such as aging lines, insulation failure, and abnormal temperature rise during long-term, high-frequency use. This not only affects charging efficiency but may also lead to safety accidents such as short circuits and fires.

[0003] However, the current charging pile management model has significant limitations: First, traditional detection relies on manual inspection, which makes it difficult to capture instantaneous faults (such as current spikes during fast charging), and labor costs increase exponentially with the number of charging piles; Second, existing monitoring systems mostly focus on single parameters (such as temperature) and lack collaborative analysis of voltage, current, and environmental factors, resulting in a high false alarm rate; Third, data is isolated between regions, making it impossible to identify batch defects or environmental adaptability issues of equipment through cross-regional comparisons, such as the difference in corrosion rate of charging piles in high-humidity areas; Fourth, the early warning mechanism is simplistic, mostly adopting the "exceeding limits alarm" mode, without dynamically adjusting thresholds based on factors such as the historical status of the equipment and usage frequency, causing important early warnings to be submerged in massive amounts of information. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a vehicle charging pile detection and management system that features high detection efficiency, high accuracy, and effective early warning.

[0005] To achieve the above objectives, this invention provides a vehicle charging pile detection and management system, including a data acquisition module, an information processing module, and a safety early warning module. The data acquisition module collects voltage, current, and temperature data from several vehicle charging piles within a region during idle, fast charging, and slow charging states. The information processing module records the data collected by the data acquisition module and files files for each charging pile in its idle, fast charging, and slow charging states. It also calculates and records the temperature rise and temperature difference during fast and slow charging states, forming corresponding datasets. The safety early warning module determines the operating status of the vehicle charging piles based on the real-time dataset and promptly issues early warnings when abnormalities are detected. The advantages of adopting the above technical solution are: by comprehensively capturing key parameters of the charging pile under multiple states through the data acquisition module, combined with the classification and filing and temperature rise and temperature difference analysis of the information processing module, the charging pile's operating status can be recorded and evaluated in a refined manner. In addition, with the real-time monitoring and abnormal response of the safety early warning module, potential risks can be detected in a timely manner and early warnings can be issued, which effectively improves the safety and reliability of the charging pile operation. At the same time, it provides accurate data support for equipment maintenance, which helps to reduce the failure rate and operation and maintenance costs.

[0006] The present invention can be further configured to include a network module, which is used to form a network between several regional information processing modules and to facilitate the exchange and comparison of data between different regions.

[0007] By further configuring and constructing a network architecture for inter-regional information processing modules, real-time interaction and horizontal comparison of charging pile operation data in different regions have been achieved. This also provides data support for cross-regional equipment maintenance, resource scheduling, and troubleshooting of common problems, improving the coordination and intelligence level of the entire charging network management. At the same time, it provides a more comprehensive reference for industry standard optimization and equipment upgrade iteration.

[0008] The present invention can be further configured such that: the safety warning module includes an anomaly warning unit and a maintenance warning unit, wherein the anomaly warning unit is used to issue a warning for car charging piles with abnormal fluctuations in voltage, current and temperature, and the maintenance warning unit is used to issue a maintenance request for car charging piles that have repeatedly been in an abnormal state.

[0009] By further configuring the system, the anomaly warning unit provides real-time monitoring and immediate alerts for voltage, current, and temperature, enabling rapid response to sudden anomalies and controlling safety risks at their inception. Meanwhile, the maintenance warning unit issues maintenance requests for equipment with multiple anomalies, achieving closed-loop management from single anomaly response to routine maintenance. This not only ensures the real-time safety of charging pile operation but also reduces equipment failure rates and the probability of sudden accidents through targeted maintenance, enhancing the hierarchy and effectiveness of the warning system while optimizing the precise allocation of operation and maintenance resources.

[0010] The present invention can be further configured to include an environment module, which is used to record environmental data and dates within the area, and add the corresponding data to the dataset of voltage data, current data and temperature data of the corresponding car charging pile.

[0011] By further configuring the system, regional environmental data such as temperature and humidity, along with date information, can be linked and integrated with the charging pile's operating data such as voltage, current, and temperature to form a more comprehensive dataset. This not only allows for precise analysis of the impact of environmental factors on the charging pile's operating status, such as the changing patterns of equipment parameters under high temperature and high humidity conditions, but also enables the identification of equipment operating characteristics at different times by combining date information.

[0012] The present invention can be further configured such that: the information processing module includes a dynamic filing unit and a trend analysis unit; the dynamic filing unit assigns a unique identifier, historical maintenance records and cumulative charging times to each charging pile; the trend analysis unit calculates the parameter change trend over the past 7 days / 30 days using a sliding window algorithm to provide a basis for status assessment.

[0013] By further configuring the system, a dedicated file containing a unique identifier, historical maintenance records, and cumulative charging count is created for each charging pile through a dynamic filing unit, enabling traceable management of equipment lifecycle data. Combined with the trend analysis unit, which uses a sliding window algorithm to calculate the parameter change trends over the past 7 / 30 days, the system can accurately capture the gradual changes in equipment performance and uncover potential fault risks from historical data. This upgrades status assessment from a static judgment at a single point in time to a dynamic prediction based on trend changes, providing data support for equipment health assessment and preventative maintenance, and improving the foresight and accuracy of system management.

[0014] The present invention can be further configured such that: the abnormal warning unit has a built-in multi-level threshold system, and preset differentiated thresholds for different states: in fast charging state, a first-level warning is triggered when the voltage exceeds the rated value by ±10%, the current change amplitude is >20% (within 1 second), or the temperature is >85℃; in slow charging state, a first-level warning is triggered when the voltage exceeds the rated value by ±15% or the temperature is >70℃; in idle state, a second-level warning is triggered when the voltage fluctuates abnormally (>5V) or the temperature is >10℃ above the ambient temperature.

[0015] By further configuring and constructing a multi-level threshold system for different operating states of charging piles, differentiated and precise anomaly monitoring was achieved. Targeted thresholds were set according to the operating characteristics and risk levels of the equipment under each state, which not only avoided false alarms or missed alarms caused by uniform thresholds, but also enabled managers to quickly identify the urgency of risks and prioritize the handling of high-risk anomalies through tiered responses of level one and level two warnings. This improved the timeliness and accuracy of warnings and provided a scientific basis for safety management in different scenarios.

[0016] The present invention can be further configured as follows: the maintenance early warning unit includes an anomaly statistics subunit and an intelligent dispatching subunit; the anomaly statistics subunit accumulates the number of first-level early warnings for the charging pile within 30 days, and when the number is ≥5 times or the same type of anomaly occurs for 3 consecutive days, it is marked as "equipment to be repaired"; the intelligent dispatching subunit combines the location of maintenance personnel in the area, skill matching degree and priority of the equipment to be repaired, and automatically generates maintenance work orders, which include equipment anomaly details, historical fault records and suggested maintenance tool list, and supports work order progress tracking.

[0017] By further configuring the system, the anomaly statistics subunit quantifies the number of Level 1 warnings and consecutive similar anomalies within 30 days, enabling precise screening of equipment requiring maintenance and avoiding resource waste caused by triggering maintenance for a single anomaly. Meanwhile, the intelligent work order dispatch subunit automatically generates work orders with detailed information and tracks progress by combining maintenance personnel location, skill matching, and equipment priority. This ensures efficient allocation of maintenance resources and improves maintenance efficiency through historical data and tool suggestions, forming a closed-loop management system covering the entire process from anomaly statistics and equipment marking to work order dispatch and progress tracking, significantly optimizing operation and maintenance response speed and resource utilization efficiency.

[0018] The present invention can be further configured such that: the environmental module includes an environmental sensor group and a time correlation unit; the environmental sensor group collects regional ambient temperature, relative humidity and rainfall; the time correlation unit binds the environmental data with date and time period to analyze the impact of environmental factors on the performance of the charging pile.

[0019] By further configuring the system, key parameters such as regional ambient temperature, humidity, and rainfall are accurately collected through an environmental sensor array. Combined with a time correlation unit, environmental data is deeply linked to date and time period. This enables the system to analyze the impact of different environmental conditions and time periods on the performance of charging piles, providing a scientific basis for dynamically adjusting equipment operating parameters and early warning thresholds. At the same time, through cross-analysis of environmental and time dimensions, the system's ability to trace the causes of equipment anomalies is improved, making management strategies more aligned with actual scenarios and further enhancing the system's adaptability and scientific decision-making. Attached Figure Description

[0020] Figure 1 This is a flowchart of an embodiment of the present invention; Detailed Implementation

[0021] An example of an implementation of the vehicle charging pile detection and management system of the present invention. Figure 1As shown, the system includes a data acquisition module, an information processing module, and a safety early warning module. The data acquisition module collects voltage, current, and temperature data from several car charging piles within the area in idle, fast charging, and slow charging states. The information processing module records the data collected by the data acquisition module and files them separately according to the different states of the car charging piles in idle, fast charging, and slow charging. It also calculates and records the temperature rise and temperature difference in fast charging and slow charging states to form corresponding datasets. The safety early warning module judges the operating status of the car charging piles based on the real-time dataset and issues timely warnings to the outside when abnormalities are found. It includes a network module, which is used to connect several regional information processing modules and enable the exchange and comparison of data between different regions.

[0022] The safety warning module includes an anomaly warning unit and a maintenance warning unit. The anomaly warning unit is used to issue warnings for car charging piles with abnormal fluctuations in voltage, current and temperature. The maintenance warning unit is used to issue maintenance requests for car charging piles that have repeatedly been in an abnormal state.

[0023] It includes an environment module, which is used to record environmental data and dates within the area, and add the corresponding data to the dataset of voltage, current and temperature data of the corresponding car charging pile.

[0024] The information processing module includes a dynamic filing unit and a trend analysis unit. The dynamic filing unit assigns a unique identifier, historical maintenance records, and cumulative charging times to each charging pile. The trend analysis unit calculates the parameter change trends over the past 7 days / 30 days using a sliding window algorithm to provide a basis for status assessment.

[0025] The abnormal warning unit has a built-in multi-level threshold system, with different thresholds preset for different states: In fast charging state, a first-level warning is triggered when the voltage exceeds the rated value by ±10%, the current change amplitude is >20% (within 1 second), or the temperature is >85℃; in slow charging state, a first-level warning is triggered when the voltage exceeds the rated value by ±15% or the temperature is >70℃; in idle state, a second-level warning is triggered when the voltage fluctuates abnormally (>5V) or the temperature is >10℃ above the ambient temperature.

[0026] The maintenance early warning unit includes an anomaly statistics subunit and an intelligent work order dispatching subunit. The anomaly statistics subunit accumulates the number of first-level early warnings for charging piles within 30 days. When the number is ≥5 or the same type of anomaly occurs for 3 consecutive days, it is marked as "equipment to be repaired". The intelligent work order dispatching subunit automatically generates maintenance work orders based on the location of maintenance personnel in the area, skill matching degree, and priority of the equipment to be repaired. The work orders include equipment anomaly details, historical fault records, and a list of suggested maintenance tools, and support work order progress tracking.

[0027] The environmental module includes an environmental sensor group and a time correlation unit; the environmental sensor group collects regional ambient temperature, relative humidity and rainfall; the time correlation unit binds the environmental data with date and time period to analyze the impact of environmental factors on the performance of the charging pile.

[0028] The above examples are merely one preferred embodiment of the present invention. Ordinary variations and substitutions made by those skilled in the art within the scope of the technical solution of the present invention are all included within the protection scope of the present invention.

Claims

1. A vehicle charging pile detection and management system, characterized in that: The system includes a data acquisition module, an information processing module, and a safety early warning module. The data acquisition module collects voltage, current, and temperature data from several car charging piles within the area in idle, fast charging, and slow charging states. The information processing module records the data collected by the data acquisition module and files them separately according to the different states of the car charging piles in idle, fast charging, and slow charging. It also calculates and records the temperature rise and temperature difference in fast charging and slow charging states to form corresponding datasets. The safety early warning module judges the operating status of the car charging piles based on the real-time dataset and issues timely warnings to the outside when abnormalities are found.

2. The vehicle charging pile detection and management system according to claim 1, characterized in that: It includes a network module, which is used to connect several regional information processing modules and enable the exchange and comparison of data between different regions.

3. The vehicle charging pile detection and management system according to claim 1 or 2, characterized in that: The safety warning module includes an anomaly warning unit and a maintenance warning unit. The anomaly warning unit is used to issue warnings for car charging piles with abnormal fluctuations in voltage, current and temperature. The maintenance warning unit is used to issue maintenance requests for car charging piles that have repeatedly been in an abnormal state.

4. The vehicle charging pile detection and management system according to claim 1 or 2, characterized in that: It includes an environment module, which is used to record environmental data and dates within the area, and add the corresponding data to the dataset of voltage, current and temperature data of the corresponding car charging pile.

5. The vehicle charging pile detection and management system according to claim 1 or 2, characterized in that: The information processing module includes a dynamic filing unit and a trend analysis unit. The dynamic filing unit assigns a unique identifier, historical maintenance records, and cumulative charging times to each charging pile. The trend analysis unit calculates the parameter change trends over the past 7 days / 30 days using a sliding window algorithm to provide a basis for status assessment.

6. The vehicle charging pile detection and management system according to claim 3, characterized in that: The abnormal warning unit has a built-in multi-level threshold system, with different thresholds preset for different states: In fast charging state, a first-level warning is triggered when the voltage exceeds the rated value by ±10%, the current change amplitude is >20% (within 1 second), or the temperature is >85℃; in slow charging state, a first-level warning is triggered when the voltage exceeds the rated value by ±15% or the temperature is >70℃; in idle state, a second-level warning is triggered when the voltage fluctuates abnormally (>5V) or the temperature is >10℃ above the ambient temperature.

7. The vehicle charging pile detection and management system according to claim 3, characterized in that: The maintenance early warning unit includes an anomaly statistics subunit and an intelligent work order dispatching subunit. The anomaly statistics subunit accumulates the number of first-level early warnings for charging piles within 30 days. When the number is ≥5 or the same type of anomaly occurs for 3 consecutive days, it is marked as "equipment to be repaired". The intelligent work order dispatching subunit automatically generates maintenance work orders based on the location of maintenance personnel in the area, skill matching degree, and priority of the equipment to be repaired. The work orders include equipment anomaly details, historical fault records, and a list of suggested maintenance tools, and support work order progress tracking.

8. The vehicle charging pile detection and management system according to claim 4, characterized in that: The environmental module includes an environmental sensor group and a time correlation unit; the environmental sensor group collects regional ambient temperature, relative humidity and rainfall; the time correlation unit binds the environmental data with date and time period to analyze the impact of environmental factors on the performance of the charging pile.

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