A method, device, and processing equipment for handling the offline state of a charging station

Abstract

The present application provides a method, device, and processing equipment for handling the offline state of a charging station, which are used to ensure that the fault state of the charging station can be identified more accurately, so as to achieve a more accurate and efficient maintenance effect. The method for handling the offline state of the charging station provided by the present application includes: obtaining target relevant site information reported by a target charging station through a router node within a preset monitoring period, where there is a binding relationship between the target charging station and the router node in the communication architecture; based on the target relevant site information, determining whether the target charging station is in an offline state; if it is in an offline state, sending a restart instruction to the router node corresponding to the target charging station to trigger the router node to restart.

Description

Technical Field

[0001] This application relates to the field of charging stations, and specifically to a method, device, and processing equipment for handling the offline state of a charging station. Background Art

[0002] With the continuous development of battery technology, electric vehicles (also known as electric bikes) have now been widely popularized in China, and their charging needs have become a major pain point that needs to be improved.

[0003] It is easy to understand that electric vehicles cannot go upstairs, so the charging operation of their batteries is carried out on the ground. Therefore, electric vehicle merchants, individual users, or other groups will deploy charging stations (also known as charging piles) on the ground for electric vehicles to charge.

[0004] In the research process of the existing related technologies, the inventors of this application found a problem. For the charging stations deployed on the ground, they occasionally malfunction. In this case, it is obvious that normal battery charging services cannot be provided to users and maintenance is required. For a more precise and efficient maintenance process, a series of automatic fault monitoring solutions have been proposed in the existing technologies. By monitoring whether the equipment of the charging station is in a faulty state, the fault situation can be obtained in the first time and relevant personnel can be arranged for maintenance. However, in actual applications, there are cases of misidentifying the fault state, which will obviously waste manpower and material resources in terms of maintenance, meaning that the fault monitoring accuracy needs to be improved. Summary of the Invention

[0005] This application provides a method, device, and processing equipment for handling the offline state of a charging station, which is used to ensure that the fault state of the charging station can be identified more precisely, so as to achieve a more precise and efficient maintenance effect.

[0006] In the first aspect, this application provides a method for handling the offline state of a charging station, and the method includes:

[0007] Obtain the target relevant station information reported by the target charging station through the router node within a preset monitoring period, where there is a binding relationship between the target charging station and the router node in the communication architecture;

[0008] Based on the target relevant station information, determine whether the target charging station is in an offline state;

[0009] If it is in an offline state, send a restart command to the router node corresponding to the target charging station to trigger the router node to restart.

[0010] In combination with the first aspect of the present application, in the first possible implementation manner of the first aspect of the present application, based on the target relevant site information, determining whether the target charging site is in an offline state includes:

[0011] Along the time trajectory, determining whether there is a vacancy in the last content item in the target relevant site information;

[0012] If there is a vacancy, determine that the target charging site is in an offline state.

[0013] In combination with the first aspect of the present application, in the second possible implementation manner of the first aspect of the present application, based on the target relevant site information, determining whether the target charging site is in an offline state includes:

[0014] Along the time trajectory, determining whether there is a short-term vacancy in the content item before the last content item in the target relevant site information;

[0015] If there is a short-term vacancy, determine that the target charging site is in an offline state.

[0016] In combination with the second possible implementation manner of the first aspect of the present application, in the third possible implementation manner of the first aspect of the present application, the target charging site is specifically multiple charging sites, and there is a binding relationship between the multiple charging sites and the router nodes. The target relevant site information is specifically the relevant site information of the multiple charging sites. Along the time trajectory, determining whether there is a short-term vacancy in the content item before the last content item in the target relevant site information includes:

[0017] Along the time trajectory, respectively determining whether there is a short-term vacancy in the content item before the last content item in the relevant site information of each charging site;

[0018] Based on the judgment results of whether there is a short-term vacancy in each charging site, fuse to obtain the final judgment result.

[0019] In combination with the third possible implementation manner of the first aspect of the present application, in the fourth possible implementation manner of the first aspect of the present application, each charging site is pre-configured with its own weight coefficient. The judgment results of whether there is a short-term vacancy in each charging site are quantified by scores. Based on the judgment results of whether there is a short-term vacancy in each charging site, fusing to obtain the final judgment result includes:

[0020] Based on the quantified scores of the judgment results of whether there is a short-term vacancy in each charging site, combine with the respective weight coefficients of each charging site and perform weighted processing;

[0021] Based on the weighted processing result, determine the final judgment result according to the preset corresponding relationship between different weighted processing results and the final judgment result.

[0022] Combined with the first aspect of the present application, in the fifth possible implementation manner of the first aspect of the present application, if after N monitoring cycles and restarting the router node N times, the target charging station is still in the offline state, the method further includes:

[0023] Determine that the target charging station is in a faulty state;

[0024] According to the faulty state, carry out relevant fault response processing for the target charging station.

[0025] Combined with the first aspect of the present application, in the sixth possible implementation manner of the first aspect of the present application, the target charging station is specifically an electric vehicle charging station deployed on-site in a community or a park.

[0026] In a second aspect, the present application provides a processing device for the offline state of a charging station, the device including:

[0027] An acquisition unit, configured to acquire target-related site information reported by a target charging station through a router node within a preset monitoring period, and there is a binding relationship between the target charging station and the router node in the communication architecture;

[0028] A judgment unit, configured to judge whether the target charging station is in an offline state based on the target-related site information;

[0029] A restart unit, configured to, if in the offline state, send a restart instruction to the router node corresponding to the target charging station to trigger the router node to restart.

[0030] Combined with the second aspect of the present application, in the first possible implementation manner of the second aspect of the present application, the judgment unit is specifically configured to:

[0031] Along the time track, judge whether there is a vacancy in the last content item in the target-related site information;

[0032] If there is a vacancy, determine that the target charging station is in an offline state.

[0033] Combined with the second aspect of the present application, in the second possible implementation manner of the second aspect of the present application, the judgment unit is specifically configured to:

[0034] Along the time track, judge whether there is a short-term vacancy in the content item before the last content item in the target-related site information;

[0035] If there is a short-term vacancy, determine that the target charging station is in an offline state.

[0036] Combined with the second possible implementation manner of the second aspect of the present application, in the third possible implementation manner of the second aspect of the present application, the target charging station is specifically multiple charging stations, and multiple charging stations all have a binding relationship with the router node. The target relevant site information is specifically the relevant site information of multiple charging stations. The judging unit is specifically used for:

[0037] Along the time track, respectively judge whether there is a situation of short-term vacancy in the content items before the last content item in the relevant site information of each charging station;

[0038] Based on the judgment results of whether there is a short-term vacancy in each charging station, fuse to obtain the final judgment result.

[0039] Combined with the third possible implementation manner of the second aspect of the present application, in the fourth possible implementation manner of the second aspect of the present application, each charging station is pre-configured with its own weight coefficient. The judgment results of whether there is a short-term vacancy in each charging station are quantified by scores. The judging unit is specifically used for:

[0040] On the basis of the quantified scores of the judgment results of whether there is a short-term vacancy in each charging station, combine the respective weight coefficients of each charging station for weighted processing;

[0041] On the basis of the weighted processing result, determine the final judgment result according to the preset corresponding relationship between different weighted processing results and the final judgment result.

[0042] Combined with the second aspect of the present application, in the fifth possible implementation manner of the second aspect of the present application, the device further includes a response unit. If after N monitoring cycles and restarting the router node N times, the target charging station is still in the offline state, then it is used for:

[0043] Determine that the target charging station is in a faulty state;

[0044] According to the faulty state, carry out relevant fault response processing for the target charging station.

[0045] Combined with the second aspect of the present application, in the sixth possible implementation manner of the second aspect of the present application, the target charging station is specifically an electric vehicle charging station deployed on-site in a community or a park.

[0046] In a third aspect, the present application provides a processing device, including a processor and a memory. A computer program is stored in the memory. When the processor calls the computer program in the memory, it executes the method provided in the first aspect of the present application or any possible implementation manner of the first aspect of the present application.

[0047] Fourthly, the present application provides a computer-readable storage medium storing multiple instructions adapted to be loaded by a processor to execute the method provided in the first aspect of the present application or any possible implementation manner of the first aspect of the present application.

[0048] From the above content, the following beneficial effects of the present application can be obtained:

[0049] Regarding the fault maintenance of the charging station, after the present application obtains the target relevant station information reported by the target charging station through the router node within the preset monitoring period, based on the target relevant station information, it determines whether the target charging station is in an offline state. If it is in an offline state, a restart instruction is sent to the router node corresponding to the target charging station to trigger the router node to restart. In this process, if the reason for the charging station to be offline is due to the router node, obviously, the online state of the charging station can be restored by restarting the router node, enabling the charging station to work normally, ensuring that the background can more accurately identify the fault state of the charging station, and avoiding the waste of human and material resources caused by misidentifying the charging station as having a fault and arranging fault maintenance work. In this way, a more accurate and efficient maintenance effect is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] To more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 It is a schematic flowchart of a method for processing the offline state of the charging station in the present application;

[0052] Figure 2 It is a schematic architecture diagram of the communication architecture in the present application;

[0053] Figure 3 It is a schematic structural diagram of a device for processing the offline state of the charging station in the present application;

[0054] Figure 4 It is a schematic structural diagram of a processing device in the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present application.

[0056] The terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in an order different from that shown or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or modules does not necessarily have to be limited to those steps or modules clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. In the present application, the naming or numbering of steps does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The named or numbered process steps can be changed in the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0057] The division of modules in the present application is a logical division. In actual implementation, there may be other division methods. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed coupling, direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection between modules can be in an electrical or other similar form, which is not limited in the present application. And the modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed to multiple circuit modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present application.

[0058] Before introducing the method for processing the offline state of the charging station provided by the present application, the background content involved in the present application will be introduced first.

[0059] The method, device and computer-readable storage medium for processing the offline state of the charging station provided by the present application can be applied to a processing device, and are used to ensure that the fault state of the charging station can be more accurately identified, so as to achieve a more accurate and efficient maintenance effect.

[0060] The processing method for the offline state of the charging station mentioned in this application can be executed by a processing device for the offline state of the charging station, or different types of processing devices such as a server, a physical host, or a user equipment (UE) that integrates the processing device for the offline state of the charging station. Among them, the processing device for the offline state of the charging station can be implemented in a hardware or software manner. The UE can specifically be a terminal device such as a smart phone, a tablet computer, a laptop computer, a desktop computer, or a personal digital assistant (PDA). The processing devices can be set up in the form of a device cluster.

[0061] It can be understood that the processing device can be either a local workstation or configured in the form of a cloud service. Its device type can be flexibly configured according to the actual situation. In addition, the processing device itself can integrate the relevant data processing functions involved in the charging service related to this application in the background and can be adjusted according to business needs.

[0062] As an example, the processing device can specifically be in the form of a central server, providing unified data processing services for the charging stations and router nodes deployed in various places.

[0063] Next, the processing method for the offline state of the charging station provided in this application will be introduced.

[0064] First, refer to Figure 1 , Figure 1 which shows a schematic flowchart of a processing method for the offline state of the charging station in this application. The processing method for the offline state of the charging station provided in this application can specifically include the following steps S101 to S103:

[0065] Step S101: Obtain target relevant site information reported by a target charging station through a router node within a preset monitoring period. There is a binding relationship between the target charging station and the router node in the communication architecture;

[0066] It can be understood that this application is targeted at the charging scenario of electric vehicles (also known as battery-powered vehicles) outside. Generally speaking, users can perform the charging operation of their electric vehicles at charging stations (also known as charging piles) deployed in environments outside personal residences, so that their battery modules can be charged with power to supply their working power.

[0067] In this scenario, the charging stations involved in this application can report their working status to the processing device in the background through router nodes to achieve the purpose of reporting the working status, and the relevant site information involved in this application can be reflected therein.

[0068] Specifically, the relevant site information is not reported in order to cooperate with the restart operation involved in this application. Instead, it is the information that the charging site itself reports to the processing device in its system architecture. In this way, the processing device can analyze and process the working status of the on-site charging site in the background.

[0069] Therefore, this application does not need to make special settings for the charging site. It only needs to retrieve the relevant site information that it originally reports, specifically under the time condition of the configured monitoring period (such as 1 minute).

[0070] Among them, the content of the relevant site information can be specifically adjusted according to the actual situation. For example, working hours, charging quantity, charging time, energy consumption, charging users, etc., are used to reflect different aspects involved in the working status of the charging site.

[0071] For the on-site charging site to report relevant site information to the background processing device, or for the background processing device to send control instructions to the on-site charging station street, it needs to be completed through a pre-constructed communication channel.

[0072] In the actual application of this application, the involved communication scenario is realized through the router node between the two. That is to say, the charging site communicates with the background processing device by virtue of the external communication function of the router node. This constitutes the communication architecture of the charging site-router node-Internet-processing device targeted by this application. Among them, the charging site and the router node can specifically communicate on-site through Wireless Fidelity (WiFi), network cable, etc.

[0073] In this case, the on-site deployed charging site naturally needs to be configured with a binding relationship with the router node in order to locate specific devices in the system architecture. Among them, in the specific positioning work, the application of positioning identifiers such as device identification (ID), Media Access Control Address (MAC), or Internet Protocol Address (IP) may be involved.

[0074] In addition, in actual applications, it should be understood that the charging site itself can also communicate with the background processing device through different types of communication modules such as 4G and 5G, including the communication scenario targeted by this application of communicating with the background processing device through the router node.

[0075] Specifically, it can also be through this application Figure 2A schematic diagram of an architecture of the communication architecture of the present application is shown. In Figure 2 it, Station refers to a charging station, Router refers to a router node, Access Point Range refers to the access range of the routing access node, and Internet refers to the external object with which the router node communicates, among which there is the processing device involved in the present application.

[0076] Among them, for the convenience of description, the following solution content of the present application will be expanded with the relevant site information initiated by a current charging station as an example, and it is denoted as the target charging station and the target relevant site information.

[0077] In addition, as a practical implementation method, in the specific application scenario involved in the present application, the target charging station can specifically be an electric vehicle charging station deployed on-site in a community or a park.

[0078] It can be understood that a community or a park has a certain degree of enclosure compared to other external environments. Therefore, for maintenance work, it is more inconvenient. Therefore, it is of better practical significance to ensure more accurate identification of the fault status of the charging station through the present application, which can greatly reduce the situation of carrying out maintenance work due to misidentification.

[0079] Step S102, based on the target relevant site information, determine whether the target charging station is in an offline state;

[0080] It can be understood that if the background processing device can receive the normal relevant site information reported by the on-site charging station, then obviously, the on-site charging station is in a normal working state. On the contrary, if the reported relevant site information itself or its content is abnormal, then the analysis and processing of the abnormal working state of the charging station can be carried out.

[0081] For the prior art, there are obviously already many studies on how to perform high-precision analysis and processing of the working state of a charging station based on the specific working state information of the charging station and the background processing device for the site information reported by the charging station.

[0082] In contrast, the present application considers the processing of whether the charging station is in an abnormal state in an auxiliary manner to promote higher precision in the analysis of the working state based on the charging station.

[0083] That is, the present application preprocesses to enable the background processing device to obtain more accurate input data (the site information of the charging station), so as to more accurately analyze the working state of the charging station, which is applicable to relatively complex or in-depth relevant working state analysis.

[0084] On this basis, this application simply analyzes whether the target charging station is stored in an offline state based on the target-related station information reported by the target charging station.

[0085] It can be understood that it is very easy to determine whether a charging station is offline. For example, if there is an interruption in the regularly reported relevant station information, it obviously means that the charging station is in an offline state.

[0086] Regarding the judgment of whether the charging station is in an offline state, obviously, a judgment strategy can be pre-configured, and then this strategy can be called in the specific judgment process to execute the judgment and process the specific input data in the relevant station information.

[0087] Specifically, as another exemplary implementation manner, corresponding to the situation of a typical router node network interruption, in the process of judging whether the target charging station is in an offline state based on the target-related station information, the judgment strategy may specifically include the following contents:

[0088] Along the time trajectory, judge whether there is a vacancy in the last content item in the target-related station information;

[0089] If there is a vacancy, it is determined that the target charging station is in an offline state.

[0090] It can be understood that in the specific judgment process in this embodiment, the concept of the time dimension is involved. In the target-related station information reported by the target charging station within the monitoring period, the relevant station information collected or reported at different time points is included. In the processing, the content items or the content items obtained by conversion can be analyzed and processed.

[0091] The content item, corresponding to the reporting purpose of the relevant station information, should itself have substantial content or specific content. If the network is interrupted, based on the last vacant content item, there will also be an indefinite number of vacant content items appearing forward. In this case, the focus can be on the last content item to check whether there is a vacancy. If there is, it can be quickly determined that the charging station is in an offline state.

[0092] In addition, in a more specific application, this application also configures an implementation manner of another judgment idea. Specifically, as another practical implementation manner, in the process of judging whether the target charging station is in an offline state based on the target-related station information, the judgment strategy may also include the following contents:

[0093] Along the time trajectory, judge whether there is a short-term vacancy in the content item before the last content item in the target-related station information;

[0094] If there is a situation of a short-term vacancy, it is determined that the target charging station is in an offline state.

[0095] It can be seen that the main difference between the embodiment here and the above embodiment lies in that the embodiment here focuses on the content items before the last content item in the target-related station information, rather than focusing on the last content item in the target-related station information as in the above embodiment.

[0096] It can be understood that the embodiment here considers the situation where the working state of the router node has abnormal fluctuations. At the microscopic level, the constructed communication channel may occasionally be interrupted temporarily. If the interruption occurs very rarely, it should be understood that at the overall level, it will basically not affect the analysis of the working state of the on-site charging station by the background processing device. Or rather, the prior art will ignore such extremely small amounts of data vacancies and handle them as data fluctuations. For example, the data preprocessing for removing noise will directly delete such data, so it is impossible to rule out the interference of fluctuations in the stability of the router node itself.

[0097] In this way, through the setting of this embodiment, the present application starts from the extremely small amounts of data fluctuations that are habitually ignored in the prior art, eliminates the interference brought by the router node itself, and further ensures that the working state of the charging station can be analyzed more accurately subsequently.

[0098] Furthermore, the judgment of whether there is a problem with the router node itself in the present application can not only start from a single charging station, but also start from multiple charging stations under the router node, that is, judge whether there is a problem with the router node itself from the overall level.

[0099] Specifically, as another practical implementation manner, the target charging station can specifically be multiple charging stations. Correspondingly, multiple charging stations are all bound to the router node. In this case, the target-related station information can specifically be the related station information of multiple charging stations.

[0100] At this time, when judging whether there is a situation of a short-term vacancy in the content items before the last content item in the target-related station information along the time track, the following specific content may further be included:

[0101] Judge whether there is a situation of a short-term vacancy in the content items before the last content item in the related station information of each charging station along the time track;

[0102] Based on the judgment results of whether there is a situation of a short-term vacancy in each charging station, fuse to obtain the final judgment result.

[0103] It can be understood that the embodiment here is based on the previous embodiment. Based on the judgment result of the relevant site information of a single charging station, it extends to the judgment result of the relevant site information of multiple charging stations, and processes based on each judgment result to obtain the final judgment result. At this time, it is easy to understand that the final judgment result does not indicate whether the target charging station is directly in an offline state, but in an abstract form, determines whether the target charging station should be considered in an offline state and makes corresponding router node restart processing.

[0104] That is to say, at this time, the offline state of the target charging station is determined from the overall level of each charging station, not specifically whether there is an offline state, but with a kind of information called the offline state judgment result to determine whether to trigger subsequent router node restart processing.

[0105] Among them, for a router node, in specific applications, it does not necessarily need to process in combination with the relevant site information of all the charging stations below it. The range of its multiple charging stations can be adjusted by considering elements such as the actual location, reporting time range, etc.

[0106] Under this setting, the situations of different charging stations are fully combined to better reflect whether there are occasional abnormal problems at the mesoscopic level of the router node, so that it can better capture the extremely small amount of data fluctuations that are habitually ignored in the prior art, and more carefully eliminate the interference brought by the router node itself, ensuring that the working state of the charging station can be analyzed more accurately subsequently.

[0107] Among them, for different charging stations, the contribution of their relevant site information to the final judgment result may also be different. Specifically, under different conditions of charging stations such as different actual locations, reporting time ranges, or site equipment types, the influence on judging whether there is an abnormality in the router node is different. For the convenience of quantification, it can also be reflected in the form of a weight coefficient.

[0108] Furthermore, as another practical implementation method, each charging station can be pre-configured with its own weight coefficient. Correspondingly, the judgment result of whether each charging station has a short-term vacancy situation can be specifically quantified by scores. Thus, in the process of fusing to obtain the final judgment result according to the judgment result of whether each charging station has a short-term vacancy situation, it can specifically include:

[0109] Based on the quantified scores of the judgment results of whether each charging station has a short-term vacancy situation, combined with the respective weight coefficients of each charging station, perform weighted processing;

[0110] Based on the weighted processing result, determine the final judgment result according to the preset corresponding relationship between different weighted processing results and the final judgment result.

[0111] In this embodiment, it can be seen that the fusion of judgment results is carried out in the form of score quantization, and a weighting mechanism is introduced. In this way, the influence of charging stations under different conditions on the final judgment result can be better quantified, so as to obtain a more accurate judgment effect, assist in eliminating the interference brought by the router node itself, and ensure that the working state of the charging station can be analyzed more accurately subsequently.

[0112] Step S103, if in the offline state, send a restart instruction to the router node corresponding to the target charging station to trigger the router node to restart.

[0113] If not in the offline state or in the online state, obviously, the processing device does not need to perform response operations related to the offline situation of the previous charging station and can perform analysis and processing of other working states.

[0114] If in the offline state, the present application sends a restart instruction to the router node bound to the target charging station to let it perform a restart operation.

[0115] At this time, it can be seen that in the specific application of the present application, a special situation is considered, that is, the reason for the charging station to be in the offline state may not be a problem with the charging station itself, but a problem with the router node.

[0116] In the prior art, since the processing device always arranges relevant maintenance personnel to go to the site for maintenance when it recognizes that the charging station is in the offline state, there is obviously a waste of manpower and material resources.

[0117] In the present application, in the way of restarting the router node, it tries to make the charging station that actually has no problem go online again. If it can go online again, obviously, it can resume normal work.

[0118] In this way, by the indirect processing method of restarting the router node, the interference of the router node outside the charging station is excluded, and it is ensured that a more accurate working state analysis can be performed on the charging station under the router node.

[0119] On the contrary, if the charging station is still in the offline state after restarting the router, it can be confirmed that the charging station itself has a fault and is in a fault state, and corresponding maintenance processing can be arranged.

[0120] In addition, corresponding to the actual application, considering reducing the human and material costs of maintenance processing, the present application can also be set such that it does not directly confirm a fault state when the router node is restarted and the device is still offline during the current monitoring period. A certain error range can be appropriately reserved, and at the same time, it can also serve the purpose of centralized maintenance processing. It can be configured with:

[0121] If after N monitoring periods and the router node is restarted N times, the target charging station is still offline, then the method of the present application may further include:

[0122] Determine that the target charging station is in a fault state;

[0123] According to the fault state, carry out relevant fault response processing for the target charging station.

[0124] It is easy to see that for the application of the monitoring period, the confirmation of the fault state of the charging station (there is no specific analysis of the fault state in the present application, only to confirm whether there is a fault) can be adaptively achieved by setting the number of detection times (such as 3 times) to achieve the desired effect of the embodiment here.

[0125] Among them, the relevant fault response processing can specifically be fault event generation, fault reminder push, initiation of maintenance tasks, distribution of maintenance tasks, etc. The specific content of the fault response processing can be adjusted according to actual needs, and the present application does not make specific limitations here.

[0126] As can be seen from the above embodiments, for the fault maintenance of the charging station, after the present application obtains the target related site information reported by the target charging station through the router node within the preset monitoring period, based on this target related site information, it determines whether the target charging station is offline. If it is offline, it sends a restart instruction to the router node corresponding to the target charging station to trigger the router node to restart. In this process, if the reason for the charging station being offline is due to the router node, obviously, the online state of the charging station can be restored by restarting the router node, enabling the charging station to work normally, ensuring that the background can more accurately identify the fault state of the charging station, and avoiding waste of human and material costs caused by misidentifying the charging station as having a fault and arranging fault maintenance work. In this way, a more accurate and efficient maintenance effect is achieved.

[0127] The above is an introduction to the method for processing the offline state of the charging station provided by the present application. To facilitate better implementation of the method for processing the offline state of the charging station provided by the present application, the present application also provides a device for processing the offline state of the charging station from the perspective of functional modules.

[0128] Refer to Figure 3 , Figure 3This is a schematic diagram of a structure of a processing device for the offline state of a charging station in this application. In this application, the processing device 300 for the offline state of the charging station may specifically include the following structure:

[0129] An acquisition unit 301, configured to acquire target relevant station information reported by a target charging station through a router node within a preset monitoring period, where there is a binding relationship between the target charging station and the router node in the communication architecture;

[0130] A judgment unit 302, configured to judge whether the target charging station is in an offline state based on the target relevant station information;

[0131] A restart unit 303, configured to send a restart instruction to the router node corresponding to the target charging station if it is in an offline state, so as to trigger the router node to restart.

[0132] In an exemplary implementation manner, the judgment unit 302 is specifically configured to:

[0133] Judge whether there is a vacancy in the last content item in the target relevant station information along the time track;

[0134] If there is a vacancy, determine that the target charging station is in an offline state.

[0135] In another exemplary implementation manner, the judgment unit 302 is specifically configured to:

[0136] Judge whether there is a short-term vacancy in the content item before the last content item in the target relevant station information along the time track;

[0137] If there is a short-term vacancy, determine that the target charging station is in an offline state.

[0138] In another exemplary implementation manner, the target charging station is specifically multiple charging stations, and there is a binding relationship between the multiple charging stations and the router node. The target relevant station information is specifically the relevant station information of the multiple charging stations. The judgment unit 302 is specifically configured to:

[0139] Judge whether there is a short-term vacancy in the content item before the last content item in the relevant station information of each charging station along the time track;

[0140] Fuse the final judgment result according to the judgment results of whether there is a short-term vacancy in each charging station.

[0141] In another exemplary implementation manner, each charging station is pre-configured with its own weight coefficient, and the judgment result of whether there is a short-term vacancy in each charging station is quantified by a score. The judgment unit 302 is specifically configured to:

[0142] Based on the quantified scores of the judgment results on whether there are short-term vacancies at each charging station, combined with the respective weight coefficients of each charging station, weighted processing is performed;

[0143] Based on the weighted processing results, according to the preset corresponding relationship between different weighted processing results and the final judgment results, the final judgment results are determined.

[0144] In another exemplary implementation manner, the device further includes a response unit 304, which is used for: if the target charging station is still in an offline state after N monitoring cycles and the router node is restarted N times.

[0145] Determine that the target charging station is in a faulty state;

[0146] According to the faulty state, carry out relevant fault response processing for the target charging station.

[0147] In another exemplary implementation manner, the target charging station is specifically an electric vehicle charging station deployed on-site in a community or a park.

[0148] The present application also provides a processing device from the perspective of the hardware structure. Refer to Figure 4 , Figure 4 which shows a schematic structural diagram of the processing device of the present application. Specifically, the processing device of the present application may include a processor 401, a memory 402, and an input / output device 403. When the processor 401 executes the computer program stored in the memory 402, it realizes the steps of the processing method for the offline state of the charging station in the corresponding Figure 1 embodiment; or, when the processor 401 executes the computer program stored in the memory 402, it realizes the functions of each unit in the corresponding Figure 3 embodiment. The memory 402 is used to store the computer program required for the processor 401 to execute the processing method for the offline state of the charging station in the above Figure 1 corresponding embodiment.

[0149] Exemplarily, the computer program can be divided into one or more modules / units. One or more modules / units are stored in the memory 402 and executed by the processor 401 to complete the present application. One or more modules / units can be a series of computer program instruction segments capable of completing specific functions, and these instruction segments are used to describe the execution process of the computer program in the computer device.

[0150] The processing device may include, but is not limited to, a processor 401, a memory 402, and an input / output device 403. Those skilled in the art can understand that the illustration is only an example of the processing device and does not constitute a limitation on the processing device. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the processing device may also include a network access device, a bus, etc. The processor 401, the memory 402, the input / output device 403, etc. are connected through a bus.

[0151] The processor 401 may be a central processing unit (CPU), or may 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 general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc. The processor is the control center of the processing device and connects various parts of the entire device using various interfaces and lines.

[0152] The memory 402 can be used to store computer programs and / or modules. The processor 401 realizes various functions of the computer device by running or executing the computer programs and / or modules stored in the memory 402, and by calling the data stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system, application programs required for at least one function, etc.; the data storage area may store data created according to the use of the processing device. In addition, the memory may include high-speed random access memory, and may also 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 volatile solid-state storage devices.

[0153] When the processor 401 is used to execute the computer program stored in the memory 402, the following functions can be specifically realized:

[0154] Obtain target-related site information reported by a target charging site through a router node within a preset monitoring period. There is a binding relationship between the target charging site and the router node in the communication architecture;

[0155] Based on the target-related site information, determine whether the target charging site is in an offline state;

[0156] If it is in an offline state, send a restart instruction to the router node corresponding to the target charging site to trigger the router node to restart.

[0157] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described processing device, processing equipment and their corresponding units for the offline state of the charging site can be referred to as Figure 1 the description of the method for handling the offline state of the charging site in the corresponding embodiment, and will not be elaborated herein specifically.

[0158] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware through instructions. The instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0159] Therefore, the present application provides a computer-readable storage medium, in which multiple instructions are stored, and the instructions can be loaded by a processor to execute the steps of the method for handling the offline state of the charging site in the present application as Figure 1 described in the corresponding embodiment. The specific operations can be referred to as Figure 1 the description of the method for handling the offline state of the charging site in the corresponding embodiment, and will not be elaborated herein.

[0160] Among them, the computer-readable storage medium may include: Read Only Memory (ROM), Random Access Memory (RAM), magnetic disk or optical disk, etc.

[0161] Since the instructions stored in the computer-readable storage medium can execute the steps of the method for handling the offline state of the charging site in the present application as Figure 1 described in the corresponding embodiment, therefore, the beneficial effects that can be achieved by the method for handling the offline state of the charging site in the present application as Figure 1 described in the corresponding embodiment can be realized. For details, please refer to the previous description and will not be elaborated herein.

[0162] The above has introduced in detail the method, device, processing equipment and computer-readable storage medium for handling the offline state of the charging site provided by the present application. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for processing the offline state of a charging station, characterized in that, The method includes: Obtaining target related site information reported by a target charging site through a router node within a preset monitoring period, where there is a binding relationship between the target charging site and the router node in the communication architecture; Based on the target related site information, determining whether the target charging site is in an offline state; If in the offline state, sending a restart instruction to the router node corresponding to the target charging site to trigger the router node to restart; Based on the target related site information, determining whether the target charging site is in an offline state, including: Along the time trajectory, determining whether there is a short vacancy in the content items before the last content item in the target related site information; If there is such a short vacancy, determining that the target charging site is in the offline state; The target charging site is specifically a plurality of charging sites, and there is such a binding relationship between the plurality of charging sites and the router node. The target related site information is specifically the related site information of the plurality of charging sites. Along the time trajectory, determining whether there is a short vacancy in the content items before the last content item in the target related site information, including: Along the time trajectory, respectively determining whether there is a short vacancy in the content items before the last content item in the related site information of each charging site; Based on the judgment results of whether there is such a short vacancy in each charging site, fusing to obtain a final judgment result; Each charging site is pre-configured with its own weight coefficient, and the judgment results of whether there is such a short vacancy in each charging site are quantified by scores. Based on the judgment results of whether there is such a short vacancy in each charging site, fusing to obtain a final judgment result, including: Based on the quantified scores of the judgment results of whether there is such a short vacancy in each charging site, combining with the respective weight coefficients of each charging site for weighted processing; Based on the weighted processing result, determining the final judgment result according to the preset corresponding relationship between different weighted processing results and the final judgment result.

2. The method according to claim 1, characterized in that, Based on the target related site information, determining whether the target charging site is in an offline state, including: Along the time trajectory, determining whether there is a vacancy in the last content item in the target related site information; If there is such a vacancy, determining that the target charging site is in the offline state.

3. The method according to claim 1, characterized in that, If after N monitoring periods and restarting the router node N times, the target charging site is still in the offline state, the method further includes: Determining that the target charging site is in a faulty state; Based on the faulty state, carrying out relevant fault response processing related to the target charging site.

4. The method according to claim 1, wherein The target charging site is specifically an electric vehicle charging site deployed on-site in a community or a park.

5. A processing device for the offline state of a charging station, characterized in that, The device for implementing the method according to any one of claims 1 - 4 includes: An acquisition unit for acquiring target-related site information reported by a target charging station through a router node within a preset monitoring period, where there is a binding relationship between the target charging station and the router node in the communication architecture; A judgment unit for judging whether the target charging station is in an offline state based on the target-related site information; A restart unit for, if in the offline state, sending a restart instruction to the router node corresponding to the target charging station to trigger the router node to restart.

6. A processing device, characterized in that, It includes a processor and a memory, and a computer program is stored in the memory. When the processor calls the computer program in the memory, it executes the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores multiple instructions, and the instructions are suitable for being loaded by a processor to execute the method according to any one of claims 1 to 4.

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