Fault early warning method, device and equipment for charging pile distribution box and medium

Abstract

The invention discloses a fault early warning method and device for a charging pile distribution box, equipment and a medium. The fault early warning method comprises the following steps: acquiring real-time multi-dimensional operation parameters of a charging pile distribution box; wherein the real-time multi-dimensional operation parameters comprise the real-time environment temperature, the real-time environment humidity, the real-time smoke concentration, the real-time cable temperature and the real-time cable current in the charging pile distribution box; according to the real-time multi-dimensional operation parameters and a preset parameter state code table, state codes of the distribution box are determined; according to the distribution box state code and a preset multi-dimensional algorithm distribution box state code table, determining whether the distribution box state code belongs to the multi-dimensional algorithm distribution box state code table; if yes, a multi-dimensional algorithm alarm mechanism is adopted for early warning; and if not, performing early warning by adopting a single-algorithm alarm mechanism. The fault early warning device, the equipment and the medium all realize the fault early warning method.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution boxes, and particularly relates to a fault warning method, device, equipment and medium for a charging pile distribution box. Background Art

[0002] With the popularization of new energy vehicles, charging piles have become an important part of urban infrastructure construction. Especially in important transportation hubs such as airports and commercial areas, the large-scale application of charging piles has gradually become popular. The charging pile distribution box is an important device for supplying power to the most terminal charging piles, and the changes in its internal operating state play a crucial role in the safe and stable operation of the charging piles. Situations such as rising temperature and current overload may cause charging equipment failures, short circuits, and even fires.

[0003] At present, for the inspection of charging pile distribution boxes, one is to rely on traditional manual inspections, which have low work efficiency and cannot detect early faults of internal equipment of the distribution box in a timely manner, let alone effectively prevent fire hazards; the other is to use a charging pile operating state monitoring system, but most of them have many deficiencies in aspects such as equipment power consumption control and fault judgment methods, resulting in insufficient real-time performance, accuracy, and intelligence of the monitoring. Summary of the Invention

[0004] The purpose of the present invention is to provide a fault warning method, device, equipment and medium for a charging pile distribution box to solve at least one of the problems such as insufficient real-time performance, accuracy, and intelligence of the monitoring mentioned in the above background art.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: In the first aspect of the present invention, a fault warning method for a charging pile distribution box is provided, including: Obtaining real-time multi-dimensional operating parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operating parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current inside the charging pile distribution box; Determining the distribution box status code according to the real-time multi-dimensional operating parameters and a preset parameter status code table; Determining whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table according to the distribution box status code and a preset multi-dimensional algorithm distribution box status code table; if so, using a multi-dimensional algorithm alarm mechanism for early warning; if not, using a single algorithm alarm mechanism for early warning.

[0006] Optionally, the determining the distribution box status code according to the real-time multi-dimensional operating parameters and a preset parameter status code table includes: Matching the real-time multi-dimensional operating parameters with the monitoring intervals in the parameter status code table to determine each monitoring interval corresponding to the real-time multi-dimensional operating parameter; Determining, according to the monitoring interval, each parameter status code corresponding to the real-time multi-dimensional operating parameter; Concatenate the status codes of each parameter to obtain the status code of the distribution box.

[0007] Optionally, the state code of each parameter is concatenated to obtain the state code of the distribution box, including: Determine the priority of each parameter status code; Sort the parameter status codes based on their priorities to obtain a sorting result; The parameter status codes are concatenated based on the sorting result to obtain the distribution box status code.

[0008] Optionally, the multi-dimensional algorithm alarm mechanism is used for early warning, including: Matching the distribution box status code with the distribution box status code category in the multi-dimensional algorithm distribution box status code table to determine the distribution box status code category corresponding to the distribution box status code; An early warning is issued according to the alarm scheme of the multi-dimensional algorithm distribution box status code table corresponding to the distribution box status code category.

[0009] Optionally, the single algorithm alarm mechanism is used for early warning, including: Determine each alarm scheme of the parameter status code table corresponding to the real-time multi-dimensional operation parameter, and issue an alarm based on each alarm scheme of the parameter status code table.

[0010] Optionally, when a single algorithm alarm mechanism is used for early warning, it also includes: Based on the actual value of the real-time multi-dimensional operating parameter, determining the single parameter analysis and judgment level corresponding to the real-time multi-dimensional operating parameter; Determine the single parameter evaluation level with the most serious abnormality based on the evaluation levels of the single parameters; The sampling frequency of the real-time multi-dimensional operating parameters is determined based on the level of the single parameter with the most serious abnormality.

[0011] Optionally, when a multi-dimensional algorithm alarm mechanism is used for early warning, it also includes: Based on the distribution box status code, determining the multi-dimensional parameter analysis level corresponding to the distribution box status code; According to the multi-dimensional parameter analysis level, the sampling frequency of the real-time multi-dimensional operating parameters is determined.

[0012] In a second aspect of the present invention, a fault warning device for a charging pile distribution box is provided, including: An acquisition module for obtaining real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current inside the charging pile distribution box; A conversion module for determining a distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table; An analysis module for determining whether the distribution box status code belongs to a multi-dimensional algorithm distribution box status code table according to the distribution box status code and a preset multi-dimensional algorithm distribution box status code table; if so, a multi-dimensional algorithm alarm mechanism is used for early warning; if not, a single algorithm alarm mechanism is used for early warning.

[0013] In a third aspect of the present invention, an electronic device is provided, including a processor and a memory. The processor is configured to execute a computer program stored in the memory to implement the fault warning method for a charging pile distribution box provided in any one of the above embodiments.

[0014] In a fourth aspect of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the fault warning method for a charging pile distribution box provided in any one of the above embodiments is implemented.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: A fault warning method for a charging pile distribution box provided by the present invention solves the technical problems of insufficient real-time monitoring, accuracy, and intelligence in the prior art, and realizes the beneficial effects: precise early warning is carried out by real-time monitoring of the multi-dimensional operation parameters of the charging pile distribution box, reducing missed detections and false alarms, improving the sensitivity and accuracy of fault detection. At the same time, combined with the preset code table and algorithm mechanism, hierarchical early warning is realized, distinguishing single faults from compound faults, optimizing resource allocation to adapt to different scenario requirements, shortening the fault handling time, improving the real-time performance and intelligence, realizing early warning, avoiding equipment damage, and extending the life of the distribution box.

[0016] Furthermore, through the partition coding of multi-dimensional parameters, abnormal parameters can be quickly located, avoiding the ambiguity of traditional single-threshold alarms, reducing the false alarm rate, improving the accuracy of judgment, facilitating the matching of abnormal parameters in a targeted manner, and shortening the fault handling time.

[0017] Furthermore, through the priority of each parameter status code, maintenance personnel can pay attention to the core issues in the first place, realize the rapid identification of key faults. At the same time, through the priority sorting, the identification order can be unified, the response speed can be improved, resource allocation can be optimized, and intelligence can be realized.

[0018] Furthermore, based on the classification of alarm categories associated with multi-dimensional parameters, accurate hierarchical alarms are issued to avoid false alarms caused by abnormal single parameters. At the same time, different alarm categories correspond to differentiated response mechanisms to optimize resource allocation and achieve intelligence.

[0019] Furthermore, the independent judgment of a single parameter does not require complex calculations, and the alarm response speed is faster. Taking the highest abnormal level as the decision core ensures that key risks are processed first. At the same time, by dynamically adjusting the sampling frequency, the data resolution is increased during severe anomalies to accurately capture fault characteristics, improving real-time performance, accuracy, and intelligence.

[0020] Furthermore, taking the judgment level of multi-dimensional parameters as the decision core, the data resolution of high-risk parameters is preferentially guaranteed. At the same time, by dynamically adjusting the sampling frequency to reduce data redundancy in low-risk scenarios, the computing resources of edge devices are saved, and high-frequency sampling is achieved during severe anomalies to ensure the complete capture of fault transient characteristics, improving real-time performance, accuracy, and intelligence.

[0021] A fault warning device, an electronic device, and a computer-readable storage medium provided by the present invention also solve the technical problems such as insufficient real-time performance, accuracy, and intelligence in monitoring proposed in the background art. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings forming a part of this application are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 is a flowchart of a fault warning method for a charging pile distribution box provided by an embodiment of the present invention; Figure 2 is a flowchart of a fault warning method for a charging pile distribution box provided by another embodiment of the present invention; Figure 3 is a structural block diagram of a fault warning device for a charging pile distribution box provided by an embodiment of the present invention; Figure 4 is a structural block diagram of a fault warning device for a charging pile distribution box provided by another embodiment of the present invention; Figure 5 is a structural block diagram of an electronic device provided by an embodiment of the present invention; Among them, 100, electronic device; 101, memory; 102, processor; 103, computer program; 104, communication bus. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments may be combined with each other.

[0024] The following detailed descriptions are all exemplary descriptions, aiming to provide further details of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. The terms used in the present invention are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0025] Embodiment 1 As Figure 1-2 shown, in the first aspect of the present invention, a method for fault warning of a charging pile distribution box is provided, including: S1: Obtain the real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current in the charging pile distribution box; S2: Determine the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table; S3: Determine whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table according to the distribution box status code and a preset multi-dimensional algorithm distribution box status code table; if so, use a multi-dimensional algorithm alarm mechanism for warning; if not, use a single algorithm alarm mechanism for warning.

[0026] It should be noted that the charging pile distribution box is a device for distributing and controlling the power supply of the charging pile; the transmission method for obtaining the real-time multi-dimensional operation parameters of the charging pile distribution box can be wired transmission, wireless transmission, or a combination of wired transmission and wireless transmission. In this embodiment, preferably, the transmission method for obtaining the real-time multi-dimensional operation parameters of the charging pile distribution box is a combination of wired transmission and wireless transmission; the parameter status code table consists of a plurality of preset monitoring intervals and corresponding codes, which can be extended and supports adding new parameters or adjusting the monitoring area to adapt to different scenario requirements. In this embodiment, preferably, the parameter status code table is shown in the following table:

[0027] The multi-dimensional algorithm distribution box status code table includes multiple distribution box status code categories, multiple wiring box status codes respectively corresponding to the multiple distribution box status code categories, and each technical solution respectively corresponding to the multiple distribution box status code categories. The multi-dimensional algorithm distribution box status code table can be expanded according to actual needs and supports addition or adjustment to adapt to different scenario requirements. In this embodiment, preferably, the multi-dimensional algorithm distribution box status code table is shown in the following table:

[0028] Thus, by real-time monitoring the multi-dimensional operation parameters of the charging pile distribution box, accurate early warning is carried out, reducing missed inspections and false alarms, improving the sensitivity and accuracy of fault detection. At the same time, combined with the preset code table and algorithm mechanism, hierarchical early warning is realized, distinguishing single faults from compound faults, optimizing resource allocation to adapt to different scenario requirements, shortening the fault handling time, improving real-time performance and intelligence, achieving early warning, avoiding equipment damage, and prolonging the life of the distribution box.

[0029] In step S1: Obtain the real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current inside the charging pile distribution box.

[0030] Here, a collection module capable of collecting the real-time multi-dimensional operation parameters can be configured for the charging pile distribution box, and the collection module inside the charging pile distribution box obtains the real-time multi-dimensional operation parameters inside the charging pile distribution box. It should be noted that the collection module can collect the real-time multi-dimensional operation parameters continuously or at intervals. Among them, the initial collection frequency of obtaining the real-time multi-dimensional operation parameters is set according to actual needs. In this embodiment, preferably, the initial collection frequency of the real-time multi-dimensional operation parameters is once every 30 seconds. Thus, by real-time monitoring the multi-dimensional operation parameters of the charging pile distribution box, accurate early warning is carried out, reducing missed inspections and false alarms, improving the sensitivity and accuracy of fault detection, and achieving accurate early warning and active protection of the charging pile distribution box faults.

[0031] In one embodiment, obtaining the real-time multi-dimensional operation parameters of the charging pile distribution box includes: Obtain the current multi-dimensional operation parameters of the charging pile distribution box; wherein, the current multi-dimensional operation parameters include the current ambient temperature, current ambient humidity, current smoke concentration, current cable temperature, and current cable current inside the charging pile distribution box; Encrypt the current multi-dimensional operation parameters, perform short-distance transmission on the encrypted current multi-dimensional operation parameters, and determine the current multi-dimensional operation parameters after short-distance transmission; Decrypt the current multi-dimensional operating parameters after short-distance transmission, process the decrypted current multi-dimensional operating parameters, encrypt the processed current multi-dimensional operating parameters, perform long-distance transmission on the encrypted current multi-dimensional operating parameters, and determine the current multi-dimensional operating parameters after long-distance transmission; Decrypt the current multi-dimensional operating parameters after long-distance transmission and determine the decrypted current multi-dimensional operating parameters; Determine the real-time multi-dimensional operating parameters according to the decrypted current multi-dimensional operating parameters.

[0032] Here, the acquisition module can be configured to be further capable of obtaining the current multi-dimensional operating parameters, can be configured to be further capable of encrypting and performing short-distance transmission on the obtained current multi-dimensional operating parameters, can be configured to be further capable of decrypting, processing, encrypting, and performing long-distance transmission on the current multi-dimensional operating parameters after short-distance transmission, and can also be configured to be further capable of decrypting the current multi-dimensional operating parameters after long-distance transmission. It should be noted that the acquisition module can obtain the current multi-dimensional operating parameters of multiple charging piles' distribution boxes in multiple charging stations to form a network structure; in order to be able to achieve real-time transmission of monitoring data over a large range, in this embodiment, preferably, the transmission methods for both short-distance transmission and long-distance transmission are wireless communication; in order to further protect the data, in this embodiment, preferably, the process of processing the decrypted current multi-dimensional operating parameters and encrypting the processed current multi-dimensional operating parameters includes desensitizing the processed current multi-dimensional operating parameters to determine the desensitized current multi-dimensional operating parameters, and encrypting the desensitized current multi-dimensional operating parameters to determine the encrypted current multi-dimensional operating parameters. Thus, real-time transmission of monitoring data can be achieved over a large range in a long-distance environment.

[0033] In step S2: Determine the distribution box status code according to the real-time multi-dimensional operating parameters and the preset parameter status code table.

[0034] Here, a conversion module can be configured to be capable of determining the distribution box status code according to the real-time multi-dimensional operating parameters and the preset parameter status code table; it should be noted that the parameter status code table consists of multiple preset monitoring intervals and corresponding codes, which can be extended and supports adding new parameters or adjusting the monitoring area to adapt to different scenario requirements; the distribution box status code is used to represent the status of the distribution box. Thus, through multi-dimensional parameter correlation analysis, misjudgment of a single parameter can be reduced, and the status of the distribution box can be accurately determined.

[0035] In one embodiment, determining the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table includes: Matching the real-time multi-dimensional operation parameters with the monitoring intervals in the parameter status code table to determine the monitoring intervals corresponding to the real-time multi-dimensional operation parameters; Determining the parameter status codes corresponding to the real-time multi-dimensional operation parameters according to the monitoring intervals; Concatenating the parameter status codes to obtain the distribution box status code.

[0036] Here, the conversion module can be configured as a matching module capable of matching the real-time multi-dimensional operation parameters with the monitoring intervals in the parameter status code table and a module capable of concatenating the parameter status codes. During the process of generating the distribution box status code, the actual parameter values are matched with the preset interval thresholds through the conversion module to obtain the parameter status codes of the actual parameter values, and then the parameter status codes of the actual parameter values are concatenated to obtain the distribution box status code; it should be noted that historical data and machine learning (such as clustering analysis) can be combined to dynamically optimize the monitoring interval thresholds in the parameter status code table; multi-level warnings can be defined according to code combinations; in this embodiment, preferably, the encoding of each parameter status code is a 2-bit code, the encoding of the distribution box status code is a 10-bit code, and the total number of encodings of the distribution box status code is 288. Thus, through the modular encoding mechanism, accurate status representation of multi-dimensional parameters is achieved. Combining with dynamic thresholds, the accuracy and operation and maintenance efficiency of the charging pile distribution box fault warning are significantly improved. At the same time, through the partitioned encoding of multi-dimensional parameters, abnormal parameters can be quickly located, avoiding the ambiguity of traditional single-threshold alarms, reducing the false alarm rate, improving the accuracy of judgment, facilitating the matching of abnormal parameters in a targeted manner, and shortening the fault handling time.

[0037] In one embodiment, the concatenating the parameter status codes to obtain the distribution box status code includes: Determining the priorities of the parameter status codes; Sorting the parameter status codes based on the priorities of the parameter status codes to obtain a sorting result; Concatenating the parameter status codes based on the sorting result to obtain the distribution box status code.

[0038] Here, the conversion module can be configured to be able to sort the parameter status codes. When splicing the parameter status codes, the conversion module sorts the parameter codes based on the priorities of the parameter status codes, and splices them according to the sorting result to obtain the distribution box status. It should be noted that the priorities of the parameter status codes can be set according to the actual situation, or the parameter priority rules can be automatically generated by combining historical fault data with a machine learning model (such as a decision tree). In this embodiment, preferably, the priorities of the parameter status codes are determined by the priorities of the parameter names, and the priorities of the parameter names are smoke concentration > cable temperature > cable current > ambient temperature > ambient humidity. Thus, through the priorities of the parameter status codes, the operation and maintenance personnel can pay attention to the core issues in the first place, achieve rapid identification of key faults. At the same time, through priority sorting, the identification order can be unified, the response speed can be improved, the resource allocation can be optimized, and intelligence can be achieved.

[0039] In step S3: According to the distribution box status code and the preset multi-dimensional algorithm distribution box status code table, determine whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table; if so, use the multi-dimensional algorithm alarm mechanism for early warning; if not, use the single algorithm alarm mechanism for early warning.

[0040] Here, an analysis module that can determine whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table can be configured. After the distribution box status code is generated, the analysis module determines whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table; it should be noted that the multi-dimensional algorithm distribution box status code table includes multiple distribution box status categories, the corresponding distribution box status code categories for each distribution box status category, and the corresponding alarm schemes for each distribution box status category. The multi-dimensional algorithm distribution box status code table can be extended according to actual needs and supports addition or adjustment to adapt to different scenario requirements; the multi-dimensional algorithm alarm mechanism combines historical data with real-time parameters to assist in diagnosing the root cause of faults; thus, false alarms are reduced through parameter correlation analysis, complex hidden dangers are processed by concentrating computing power, and simple faults are quickly responded to by a single alarm, realizing dynamic allocation of computing resources.

[0041] In one embodiment, the early warning using the multi-dimensional algorithm alarm mechanism includes: Match the distribution box status code with the distribution box status code categories in the multi-dimensional algorithm distribution box status code table to determine the distribution box status code category corresponding to the distribution box status code; Perform early warning according to the alarm scheme in the multi-dimensional algorithm distribution box status code table corresponding to the distribution box status code category.

[0042] Here, the analysis module can be configured to be capable of matching the distribution box status code, the distribution box status code category of the multi-dimensional algorithm distribution box status code table, and the alarm scheme. It should be noted that all the distribution box status codes can be determined based on the parameter status code; the distribution box status code category can be determined according to the actual abnormal situation of the distribution box status; the alarm scheme can be determined by the distribution box status code category. Thus, based on the alarm category division associated with multi-dimensional parameters, accurate hierarchical alarm is achieved, avoiding false alarms caused by single-parameter anomalies. At the same time, different alarm categories correspond to differentiated response mechanisms, optimizing resource allocation and realizing intelligence.

[0043] In one embodiment, the early warning using a single-algorithm alarm mechanism includes: Determine each alarm scheme of the parameter status code table corresponding to the real-time multi-dimensional operation parameters, and perform an alarm based on each alarm scheme of the parameter status code table.

[0044] Here, the analysis module can be configured to be capable of performing an alarm based on each alarm scheme of the parameter status code table corresponding to the real-time multi-dimensional operation parameters. In the case of a single-parameter anomaly, the analysis module can perform an alarm based on the alarm scheme corresponding to the abnormal single parameter; it should be noted that historical data and machine learning can be combined to dynamically adjust the alarm thresholds of each parameter; a multi-level response strategy can be designed for a single parameter; thus, a single parameter can be independently judged without complex calculations, and the alarm response speed is faster. For occasional single-parameter anomalies, the alarm can be triggered without waiting for other parameters to be verified, reducing the risk of missed alarms.

[0045] In one embodiment, when using a single-algorithm alarm mechanism for early warning, it further includes: Based on the actual values of the real-time multi-dimensional operation parameters, respectively determine the research and judgment levels of each single parameter corresponding to the real-time multi-dimensional operation parameters; According to each research and judgment level of the single parameter, determine the research and judgment level of the single parameter with the most serious abnormal degree; According to the research and judgment level of the single parameter with the most serious abnormal degree, determine the sampling frequency of the real-time multi-dimensional operation parameters.

[0046] Here, the analysis module can be configured to determine the sampling frequency of the real-time multi-dimensional operation parameters according to the single-parameter judgment level with the most severe abnormal degree. When the real-time multi-dimensional operation parameters are abnormal, the analysis module can also determine the sampling frequency of the real-time multi-dimensional operation parameters. It should be noted that all single-parameter judgment levels are preset in the parameter status code table. In this embodiment, the single-parameter judgment levels are respectively failure, warning, attention, and normal, and the priority of the single-parameter judgment levels is failure > warning > attention > normal. In this embodiment, the sampling frequencies are respectively: once every 30 seconds in the normal state, once every 20 seconds in the attention state, once every 10 seconds in the warning state, and once every 5 seconds in the failure state. Thus, the single-parameter independent judgment does not require complex calculations, and the alarm response speed is faster. Taking the highest abnormal level as the decision core ensures that key risks are processed first. At the same time, by dynamically adjusting the sampling frequency, the data resolution is improved in the case of severe anomalies to accurately capture the fault characteristics, improving the real-time performance, accuracy, and intelligence.

[0047] In one embodiment, when using the multi-dimensional algorithm alarm mechanism for early warning, it further includes: Based on the distribution box status code, determine the multi-dimensional parameter judgment level corresponding to the distribution box status code; According to the multi-dimensional parameter judgment level, determine the sampling frequency of the real-time multi-dimensional operation parameters.

[0048] Here, the analysis module can be configured to determine the sampling frequency of the real-time multi-dimensional operation parameters according to the multi-dimensional parameter judgment level. When the multi-dimensional parameters are abnormal, the analysis module can determine the sampling frequency of the real-time multi-dimensional parameters. It should be noted that all the multi-dimensional parameter judgment levels are preset in the multi-dimensional algorithm distribution box status code table. In this embodiment, the multi-dimensional parameter judgment levels are respectively emergency failure and high-risk early warning, and the priority of the multi-dimensional parameter judgment levels is emergency failure > high-risk early warning. In this embodiment, the sampling frequencies are respectively: once every 10 seconds in the high-risk early warning state and once every 5 seconds in the emergency failure state. Thus, taking the multi-dimensional parameter judgment level as the decision core, the data resolution of high-risk parameters is preferentially guaranteed. At the same time, by dynamically adjusting the sampling frequency to reduce the data redundancy in low-risk scenarios, the computing resources of edge devices are saved, and high-frequency sampling is realized in the case of severe anomalies to ensure the complete capture of the fault transient characteristics, improving the real-time performance, accuracy, and intelligence.

[0049] Therefore, a fault warning method for a charging pile distribution box provided by the present invention solves the technical problems such as insufficient real-time performance, accuracy, and intelligence in the prior art monitoring, and realizes beneficial effects: by real-time monitoring multi-dimensional operating parameters of the charging pile distribution box for accurate warning, reducing missed inspections and false alarms, improving the sensitivity and accuracy of fault detection. At the same time, combined with a preset code table and algorithm mechanism, hierarchical warning is realized, distinguishing single faults from compound faults, optimizing resource allocation to meet different scenario requirements, shortening the fault handling time, improving real-time performance and intelligence, realizing early warning, avoiding equipment damage, and extending the life of the distribution box.

[0050] Furthermore, through the partition coding of multi-dimensional parameters, abnormal parameters can be quickly located, avoiding the ambiguity of traditional single-threshold alarms, reducing the false alarm rate, improving the accuracy of judgment, facilitating the matching of abnormal parameters in a targeted manner, and shortening the fault handling time.

[0051] Furthermore, through the priority of each parameter status code, operation and maintenance personnel can pay attention to the core issues in the first place, realize the rapid identification of key faults. At the same time, through priority sorting, the identification order can be unified, the response speed can be improved, resource allocation can be optimized, and intelligence can be realized.

[0052] Furthermore, based on the division of alarm categories associated with multi-dimensional parameters, accurate hierarchical alarms are made, avoiding false alarms caused by single-parameter anomalies. At the same time, different alarm categories correspond to different response mechanisms, optimizing resource allocation and realizing intelligence.

[0053] Furthermore, the independent judgment of a single parameter does not require complex calculations, and the alarm response speed is faster. Taking the highest abnormal level as the decision core, it ensures that key risks are processed first. At the same time, by dynamically adjusting the sampling frequency, the data resolution is improved in case of severe anomalies to accurately capture fault characteristics, improving real-time performance, accuracy, and intelligence.

[0054] Furthermore, taking the multi-dimensional parameter research and judgment level as the decision core, the data resolution of high-risk parameters is preferentially guaranteed. At the same time, by dynamically adjusting the sampling frequency to reduce data redundancy in low-risk scenarios, the computing resources of edge devices are saved, and high-frequency sampling is realized in case of severe anomalies to ensure the complete capture of fault transient characteristics, improving real-time performance, accuracy, and intelligence.

[0055] Embodiment 2 As Figure 3-4 shown, based on the same inventive concept as the above embodiment, in the second aspect of the present invention, a fault warning device for a charging pile distribution box is provided, including: The acquisition module is used to obtain the real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current in the charging pile distribution box; The conversion module is used to determine the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table; The analysis module is used to determine whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table according to the distribution box status code and a preset multi-dimensional algorithm distribution box status code table; if so, a multi-dimensional algorithm alarm mechanism is used for early warning; if not, a single algorithm alarm mechanism is used for early warning.

[0056] It should be noted that the acquisition module can be installed on the charging pile station, and the conversion module and the analysis module can be configured on the cloud platform.

[0057] In order to achieve multi-dimensional parameter acquisition, in this embodiment, preferably, the acquisition module includes an ambient temperature sensor, an ambient humidity sensor, an ambient smoke sensor, a cable temperature sensor, and a cable current sensor, and the ambient temperature sensor, the ambient humidity sensor, the ambient smoke sensor, the cable temperature sensor, and the cable current sensor are all installed in the charging pile distribution box; wherein, the ambient temperature sensor is used to obtain the current ambient temperature of the charging pile distribution box, the ambient humidity sensor is used to obtain the current ambient humidity of the charging pile distribution box, the ambient smoke sensor is used to obtain the current smoke concentration of the charging pile distribution box, the cable temperature sensor is used to obtain the current cable temperature of the charging pile distribution box, and the cable current sensor is used to obtain the current cable current of the charging pile distribution box.

[0058] In order to achieve large-scale real-time monitoring, in this embodiment, preferably, a wireless monitoring box and a charging station aggregation box are further included. The wireless monitoring box is arranged in the charging pile distribution box, and the charging station aggregation box is arranged in the charging station. LoRa gateways are provided in both the wireless monitoring box and the charging station aggregation box, and the wireless monitoring box and the charging station aggregation box are communicatively connected through the LoRa gateways. Among them, the wireless monitoring box is used to encrypt the current multi-dimensional operation parameters and perform short-distance transmission on the encrypted current multi-dimensional operation parameters; the charging station aggregation box is used to determine the current multi-dimensional operation parameters after short-distance transmission, decrypt the current multi-dimensional operation parameters after short-distance transmission, process the decrypted current multi-dimensional operation parameters, encrypt the processed current multi-dimensional operation parameters, and perform long-distance transmission on the encrypted current multi-dimensional operation parameters. It should be noted that in this embodiment, the charging station aggregation box is connected to a corresponding plurality of the wireless monitoring boxes, and the decryption module is connected to a plurality of corresponding charging station aggregation boxes. An antenna is installed in the wireless monitoring box, and a data processing server is configured inside the charging station aggregation box.

[0059] In order to achieve high integration, in this embodiment, preferably, a decryption module is further included. The decryption module is arranged on the cloud platform and is used to determine the current multi-dimensional operation parameters after long-distance transmission; decrypt the current multi-dimensional operation parameters after long-distance transmission to determine the decrypted current multi-dimensional operation parameters; and determine the real-time multi-dimensional operation parameters according to the decrypted current multi-dimensional operation parameters.

[0060] In order to promptly respond to multi-dimensional parameter anomalies, in this embodiment, an operation monitoring center is further included, and the operation monitoring center is connected to the cloud platform. It should be noted that the operation and maintenance personnel can log in to the cloud platform to view the device status, receive alarm information, and perform analysis and maintenance based on the temperature curve and historical data generated by the cloud platform.

[0061] Embodiment 3 As Figure 5 shown, in the third aspect of the present invention, an electronic device 100 for implementing the fault warning method of the charging pile distribution box provided in any one of the above embodiments is further provided; The electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0062] The memory 101 can be used to store the computer program 103. By running or executing the computer program stored in the memory 101 and invoking the data stored in the memory 101, the processor 102 implements the steps of the fault warning method for the charging pile distribution box provided in any of the above embodiments.

[0063] The memory 101 may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the electronic device 100 (such as audio data, etc.). In addition, the memory 101 may include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0064] At least one processor 102 can be a Central Processing Unit (CPU), and can also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 can be a microprocessor or the processor 102 can also be any conventional processor, etc. The processor 102 is the control center of the electronic device 100, and connects various parts of the entire electronic device 100 through various interfaces and lines.

[0065] The memory 101 in the electronic device 100 stores multiple instructions to implement a fault warning method for a charging pile distribution box. The processor 102 can execute the multiple instructions to implement: Obtain the real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current inside the charging pile distribution box; Determine the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table; According to the distribution box status code and the preset multi-dimensional algorithm distribution box status code table, determine whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table; if so, use the multi-dimensional algorithm alarm mechanism for early warning; if not, use the single algorithm alarm mechanism for early warning.

[0066] Embodiment 4 In the fourth aspect of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, it implements the fault early warning method for the charging pile distribution box provided in any of the above embodiments.

[0067] It should be noted that if the modules / units integrated in the electronic device 100 are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above method embodiments of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, and read-only memory (ROM, Read-Only Memory).

[0068] Thus, the fault early warning device, electronic device, and computer-readable storage medium for the charging pile distribution box provided by the present invention also solve the technical problems such as insufficient real-time performance, accuracy, and intelligence of monitoring proposed in the background art.

[0069] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, system, or computer program product. Therefore, the present invention can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0070] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or a means for implementing the functions specified in one or more blocks.

[0071] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction means that implements the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or a means for implementing the functions specified in one or more blocks.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more flows Figure 1 one or more flows and / or blocks Figure 1 or a means for implementing the functions specified in one or more blocks.

[0073] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A fault warning method for a charging pile distribution box, characterized in that, including: Obtaining real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current inside the charging pile distribution box; Determining the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table; Determining whether the distribution box status code belongs to the multi-dimensional algorithm distribution box status code table according to the distribution box status code and a preset multi-dimensional algorithm distribution box status code table; if so, adopting a multi-dimensional algorithm alarm mechanism for early warning; if not, adopting a single algorithm alarm mechanism for early warning.

2. The fault warning method of the charging pile distribution box according to claim 1, characterized in that, The determining the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table includes: Matching the real-time multi-dimensional operation parameters with the monitoring intervals in the parameter status code table to determine the monitoring intervals corresponding to the real-time multi-dimensional operation parameters; Determining the parameter status codes corresponding to the real-time multi-dimensional operation parameters according to the monitoring intervals; Concatenating the parameter status codes to obtain the distribution box status code.

3. The fault warning method of the charging pile distribution box according to claim 2, characterized in that, The concatenating the parameter status codes to obtain the distribution box status code includes: Determining the priorities of the parameter status codes; Sorting the parameter status codes based on the priorities of the parameter status codes to obtain a sorting result; Concatenating the parameter status codes based on the sorting result to obtain the distribution box status code.

4. The fault warning method for the charging pile distribution box according to claim 1, wherein The adopting a multi-dimensional algorithm alarm mechanism for early warning includes: Matching the distribution box status code with the distribution box status code categories in the multi-dimensional algorithm distribution box status code table to determine the distribution box status code category corresponding to the distribution box status code; Conducting early warning according to the alarm scheme in the multi-dimensional algorithm distribution box status code table corresponding to the distribution box status code category.

5. The fault warning method for the charging pile distribution box according to claim 1, wherein, The adopting a single algorithm alarm mechanism for early warning includes: Determining the alarm schemes in the parameter status code table corresponding to the real-time multi-dimensional operation parameters, and conducting alarms based on the alarm schemes in the parameter status code table.

6. The fault warning method of the charging pile distribution box according to claim 1, wherein, When adopting a single algorithm alarm mechanism for early warning, it further includes: Based on the actual values of the real-time multi-dimensional operation parameters, respectively determining the single parameter research and judgment levels corresponding to the real-time multi-dimensional operation parameters; Determining the single parameter research and judgment level with the most serious abnormality degree according to each single parameter research and judgment level; Determining the sampling frequency of the real-time multi-dimensional operation parameters according to the single parameter research and judgment level with the most serious abnormality degree.

7. The fault warning method for the charging pile distribution box according to claim 1, characterized in that When adopting a multi-dimensional algorithm alarm mechanism for early warning, it further includes: Based on the distribution box status code, determining the multi-dimensional parameter research and judgment level corresponding to the distribution box status code; Determining the sampling frequency of the real-time multi-dimensional operation parameters according to the multi-dimensional parameter research and judgment level.

8. A fault warning device for a charging pile distribution box, characterized in that, including: A collection module for obtaining real-time multi-dimensional operation parameters of the charging pile distribution box; wherein, the real-time multi-dimensional operation parameters include the real-time ambient temperature, real-time ambient humidity, real-time smoke concentration, real-time cable temperature, and real-time cable current inside the charging pile distribution box; A conversion module, configured to determine the distribution box status code according to the real-time multi-dimensional operation parameters and a preset parameter status code table. An analysis module, configured to determine whether the distribution box status code belongs to a multi-dimensional algorithm distribution box status code table according to the distribution box status code and a preset multi-dimensional algorithm distribution box status code table; if so, a multi-dimensional algorithm alarm mechanism is used for early warning; if not, a single algorithm alarm mechanism is used for early warning.

9. An electronic device, characterized in that, It includes a processor and a memory. The processor is configured to execute a computer program stored in the memory to implement the fault early warning method for the charging pile distribution box according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the fault early warning method for the charging pile distribution box according to any one of claims 1 to 7 is implemented.

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