Data acquisition method and device based on super device management platform, platform, storage medium and program product

Abstract

The invention discloses a data acquisition method and device based on a super device management platform, a platform, a storage medium and a program product, and relates to the technical field of Internet of Things, and the method comprises the steps: building a charging pile model on a super device management platform based on a swan gap controller; taking charging pile object model instances of the same high-speed service area as sub-devices of a swan-gap controller of the service area; the charging pile data of each charging pile manufacturer is collected through the gap controller. According to the invention, data isolation can be broken, and the complexity of data acquisition is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to a data collection method based on a super device management platform, a data collection device based on a super device management platform, a super device management platform, a storage medium and a computer program product. Background Art

[0002] For charging pile manufacturers in the industry, due to the differences in charging pile technology between different charging pile manufacturers, for example, when a user's electric car cooperates with some charging pile manufacturers, it is difficult or impossible to obtain the charging pile information of other charging pile manufacturers, resulting in the isolation of charging pile data between charging pile manufacturers, making it difficult to collect all charging pile data from all charging pile manufacturers, and unable to pull charging pile data from the charging pile manufacturer side. Therefore, it is impossible to accurately transmit all charging pile data from each charging pile manufacturer to the user side. Summary of the invention

[0003] The main purpose of this application is to provide a data collection method based on a super device management platform, a data collection device based on a super device management platform, a super device management platform, a storage medium and a computer program product, aiming to solve the technical problem of data isolation of charging pile data of charging pile manufacturers.

[0004] To achieve the above objectives, the present application proposes a data collection method based on a super device management platform, the method comprising:

[0005] Establish a charging pile model on the super device management platform based on Hongmeng controller;

[0006] Use the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area;

[0007] The charging pile data of each charging pile manufacturer is collected through the Hongmeng controller.

[0008] In one embodiment, the method further comprises:

[0009] On the super device management platform based on Hongmeng controller, build a Hongmeng controller for each high-speed service area;

[0010] The charging pile physical model of each highway service area is controlled by the Hongmeng controller to collect charging pile data of each charging pile manufacturer in each highway service area.

[0011] In one embodiment, the method comprises:

[0012] Collect camera data of the monitoring charging pile through the Hongmeng controller and the camera object model instance;

[0013] Obtain vehicle information and trip information of the vehicle, and obtain the expressway section between the vehicle travel starting points on the current date according to the trip information;

[0014] Generate a highway path list according to the highway section, and determine the target camera data and target charging pile data matching the vehicle information in the highway path list;

[0015] The vehicle path is planned based on the target camera data, the target charging pile data and the distance data between the vehicle and the highway service area.

[0016] In one embodiment, the step of performing a path planning for the vehicle according to the target camera data, the target charging pile data, and the distance data between the vehicle and the high-speed service area includes:

[0017] Perform weighted calculation on target camera data, target charging pile data, and distance data between the vehicle and the highway service area to obtain real-time weighted calculation results;

[0018] According to the historical weighted calculation results and the real-time weighted calculation results on the same expressway on the current date, a expressway is selected in which the number of idle charging piles matching the vehicle information is greater than or equal to a preset number threshold.

[0019] In one embodiment, after the step of performing a path planning of the vehicle according to the target camera data, the target charging pile data and the distance data between the vehicle and the high-speed service area, the following steps are included:

[0020] The vehicle location information is periodically collected through the super device application terminal installed in the vehicle, and the travel range is marked according to the vehicle location information;

[0021] Acquire real-time charging pile data that matches the vehicle information within the travel range, and adjust the vehicle's travel route in real time according to the real-time charging pile data.

[0022] In one embodiment, after the step of collecting charging pile data of each charging pile manufacturer through the Hongmeng controller, the following steps are included:

[0023] Standardize the format of charging pile data from various charging pile manufacturers to obtain standard charging pile data;

[0024] The standard charging pile data is split according to a preset time period to obtain historical charging pile data and real-time charging pile data, wherein the real-time charging pile data is used for path planning, and the historical charging pile data is used to evaluate the planned path.

[0025] In addition, to achieve the above purpose, the present application also proposes a data collection device based on a super device management platform, the data collection device based on a super device management platform includes:

[0026] Establish a module for building a charging pile model on the super device management platform based on the Hongmeng controller;

[0027] A connection module, used to use the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area;

[0028] The collection module is used to collect charging pile data from various charging pile manufacturers through the Hongmeng controller.

[0029] In addition, to achieve the above-mentioned purpose, the present application also proposes a super device management platform, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the data collection method based on the super device management platform as described above.

[0030] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the data collection method based on the super device management platform as described above are implemented.

[0031] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps of the data collection method based on the super device management platform as described above are implemented.

[0032] Due to the isolation of charging pile data between different charging pile manufacturers, it is difficult to collect all the charging pile data of each charging pile manufacturer, which results in users being unable to perceive the charging pile situation on the travel route in advance and making it difficult to plan their trip. This application defines a common data format and structure by establishing a unified charging pile physical model, so that the charging pile data of different manufacturers have a unified representation method, and uses the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area, so as to facilitate centralized control and data aggregation of the charging piles in the service area; the Hongmeng controller can directly interact with the charging pile physical model instance under its management, reducing the complexity of data collection. Compared with directly collecting data from many scattered charging piles, using the Hongmeng controller as the middle layer for data collection can improve the efficiency and accuracy of data collection. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 A flowchart of the first embodiment of the data collection method based on the super device management platform of the present application is provided;

[0036] Figure 2 This is a schematic diagram of the model of connected objects of the super equipment management platform of this application;

[0037] Figure 3 A schematic diagram of a super device management platform provided in accordance with a second embodiment of the data collection method based on a super device management platform of the present application;

[0038] Figure 4 This is a schematic diagram of the module structure of the data acquisition device based on the super device management platform of this application;

[0039] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the data collection method based on the super device management platform of this application.

[0040] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0041] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0042] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0043] It should be noted that the execution subject of this embodiment may be a super device management platform, or a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a processor, etc. capable of realizing the above functions. The following takes the super device management platform as an example to illustrate this embodiment and the following embodiments.

[0044] Based on this, the embodiment of the present application provides a data collection method based on a super device management platform, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the data collection method based on the super device management platform of the present application.

[0045] In this embodiment, the data collection method based on the super device management platform includes steps S10 to S30:

[0046] Step S10, establishing a charging pile model on a super device management platform based on the Hongmeng controller;

[0047] It should be noted that the Hongmeng controller can control, coordinate and allocate resources for various devices connected to the super device management platform. The super device management platform is built on the Hongmeng controller, which means that it has the capabilities of the Hongmeng controller and can centrally manage a large number of devices, such as adding, deleting, and configuring devices. The super device management platform has a strong integration capability and can integrate and coordinate the functions of different devices.

[0048] The physical model is a digital abstract description of a physical entity, which defines various properties, behaviors, functions, etc. of the device in the Internet of Things (IoT) environment. In one embodiment, the physical model stores device location information: the service area identification of the device, device location information, etc.; device attribute information, such as camera recognition area, charging port type, charging port supported vehicle models, charging port voltage, etc. Device operation information: such as the current idle charging port identification and number, the current occupied charging port, the occupied time, the number of vehicles currently recognized by the camera, etc.

[0049] The physical model of the charging pile is established on the super device management platform. The physical model has the properties, instructions and abnormal events of the end (device end) cloud (super device management platform) interaction. The super device management platform can control the device corresponding to the physical model through the physical model. Through data exchange, when the charging pile device initializes the connection to the super device management platform, it reports the status data and operation data by itself, or the super device management platform reads the status data and operation data of the charging pile device.

[0050] In the physical model of the charging pile, data related to the charging pile is stored in a certain structure and format. The super device management platform connects to the physical model of the charging pile through a specific network interface (such as an interface based on the Internet of Things protocol), and then issues a request to read the data stored in the physical model of the charging pile.

[0051] Step S20, using the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area;

[0052] It should be noted that the charging pile instances created according to the physical model in the same high-speed service area are treated as sub-devices of the Hongmeng controller in this service area, which enables the Hongmeng controller to manage and control these charging piles. For example, the Hongmeng controller can obtain the charging status of the charging pile, control the charging operation of the charging pile, etc., so as to better coordinate the charging resources in the service area and improve the efficiency of charging services and the convenience of management.

[0053] The main function of the Hongmeng controller is to achieve interconnection between devices and remote monitoring and management of devices. Through the Hongmeng controller, the operating status of the charging pile can be monitored in real time, and the intelligent control and management of the equipment can be realized, which can improve the efficiency and convenience of equipment use and provide a better service experience for users of the charging pile.

[0054] Step S30: Collect charging pile data from each charging pile manufacturer through the Hongmeng controller.

[0055] It should be noted that the super device management platform is equivalent to a centralized data collection point. It can control the physical model of the charging pile and obtain data through the Hongmeng controller. It can integrate data from different sources, namely different charging pile manufacturers, and collect data from charging pile equipment.

[0056] The collected charging pile data includes the real-time status of the charging pile, such as whether it is charging (charging, idle, faulty, etc.); the location information of the charging pile; the attribute information of the charging pile, such as the type of charging port, the vehicle models supported by the charging port, the voltage of the charging port, etc.

[0057] In this embodiment, by establishing a unified charging pile physical model, a common data format and structure are defined, so that the charging pile data of different manufacturers have a unified representation method, and the charging pile physical model instance of the same high-speed service area is used as a sub-device of the Hongmeng controller of the service area, which is convenient for centralized control and data aggregation of the charging piles in the service area; the Hongmeng controller can directly interact with the charging pile physical model instance under its management, reducing the complexity of data collection. Compared with directly collecting data from many scattered charging piles, using the Hongmeng controller as an intermediate layer for data collection can improve the efficiency and accuracy of data collection.

[0058] In a feasible implementation manner, the data collection method based on the super device management platform includes steps A10 to A20:

[0059] Step A10, building a Hongmeng controller for each high-speed service area on a super device management platform based on the Hongmeng controller;

[0060] It should be noted that the charging pile equipment in each high-speed service area can be uniformly managed and monitored through the Hongmeng controller. Under the entire super device management platform architecture based on the Hongmeng controller, the Hongmeng controllers in each high-speed service area can interact with the super device management platform. The super device management platform can obtain relevant information of the Hongmeng controllers in each service area, count the overall usage of charging pile equipment in different service areas, and plan routes for electric vehicle users based on the statistics.

[0061] Step A20, controlling the charging pile physical model of each highway service area through the Hongmeng controller to collect charging pile data of each charging pile manufacturer in each highway service area.

[0062] It should be noted that each high-speed service area will have charging piles from different manufacturers, and the charging piles between different manufacturers may differ in technical specifications, operating data formats, etc. By controlling the charging pile physical model of each service area through the Hongmeng controller, data can be collected from these charging piles of different manufacturers. This data may include the real-time charging status of the charging pile (charging, idle or faulty), the amount of charge, the charging time, the charging power and other information.

[0063] Collecting charging pile data from various manufacturers will help to uniformly manage and monitor charging facilities in highway service areas. The collected charging pile data can then be used to serve users, allowing them to perceive the charging pile conditions on their travel routes in advance, which enables them to better plan their itineraries.

[0064] In this embodiment, for example, Figure 2 As shown, a Hongmeng controller is built for each high-speed service area, forming a distributed management system under the super device management platform based on Hongmeng. Due to the low latency and high reliability of the Hongmeng system, the charging pile data can be obtained quickly and accurately, which greatly improves the efficiency of equipment management compared to traditional management methods. In addition, each service area has a dedicated Hongmeng controller to operate the charging pile physical model, which can better adapt to the differences in charging piles from different manufacturers. Charging piles from different manufacturers may have different data formats and communication protocols, and the Hongmeng controller can perform adaptive collection based on the physical model. This ensures that more comprehensive data on charging piles from various manufacturers in each high-speed service area is collected, and the control of the physical model can accurately locate the data points that need to be collected, reduce data errors, and improve the accuracy of data collection.

[0065] In another feasible implementation, the data collection method based on the super device management platform includes steps B10 to B20:

[0066] Step B10, standardizing the format of the charging pile data of each charging pile manufacturer to obtain standard charging pile data;

[0067] It should be noted that charging piles may be produced by different manufacturers, or run in different regions and under different operating systems. This leads to diversity in the format of charging pile data. For example, some charging pile data may be stored in a specific database format, such as a table in an SQL database, while others may be stored in formats such as XML or JSON. Even if the same attribute, such as charging power, is represented by different systems, different units (kilowatts or megawatts, etc.), or the precision of the data is different (such as retaining one decimal place or two decimal places). Charging pile data contains many types of information. From basic equipment information, such as the number, model, installation location of the charging pile, etc., to operation-related data, such as charging status, charging power, charging voltage, charging current, etc. These data types may be represented in different ways in different charging pile systems. For example, the charging status may be represented by a digital code in one system, and described in text in another system.

[0068] For example, after receiving different types of device data, the super device management platform first performs data differentiation elimination processing and aggregates data of different formats into a unified data format. Format standardization processing is to make the charging pile data use a unified format, specify the representation method of data types, and at the same time, unify the storage structure of the data. After the charging pile data of different charging pile manufacturers have been standardized in format, they can be exchanged, shared and analyzed through the super device management platform. At the same time, for vehicles, standard charging pile data is also easier to be recognized and used by the vehicle's navigation system or charging management system, so as to better plan the vehicle's charging itinerary, etc.

[0069] Step B20, splitting the standard charging pile data according to a preset time period to obtain historical charging pile data and real-time charging pile data, wherein the real-time charging pile data is used for path planning, and the historical charging pile data is used to evaluate the planned path.

[0070] It should be noted that standard charging pile data is standardized data; the preset time period is divided by day (such as morning, afternoon, and evening), by week (such as weekdays and weekends), or by more complex time periods (such as peak power consumption periods, valley power consumption periods, etc.), and there is no limitation on the specific setting rules. Historical charging pile data is the charging pile-related data before the preset time period. For example, if the preset time period is this year's National Day holiday, then the historical charging pile data is the charging pile data during last year's National Day holiday or earlier National Day holidays. Real-time charging pile data is the data generated within the preset time period.

[0071] Exemplarily, the super device management platform splits the charging pile data in a unified data format into two parts for processing. One part is historical data sedimentation, and the other part is stream processing based on Flink, so as to form data buckets for each day, focus on analyzing the data on dates with large travel traffic (such as statutory holidays and weekends, etc.), and form relevant historical data records. The relevant data is stored in ClickHouse, and the dimension table information of time and service areas on travel highways is established, and the corresponding fact table information is generated.

[0072] Real-time charging pile data reflects the actual status of the charging pile at the current moment. These real-time data are critical when planning a route. If a driver is traveling from one location to another and needs to charge on the way, knowing the real-time status of the charging piles at various high-speed service areas along the way can help plan a more reasonable route. For example, drivers can choose a route that passes through a service area with idle charging piles and high charging power, avoiding going to a service area where the charging piles are full or faulty, thereby ensuring that the journey can proceed smoothly and reducing delays caused by waiting for charging or the unavailability of charging piles.

[0073] Historical charging pile data includes information such as the usage of charging piles in historical time periods, charging efficiency, and busyness at different time periods. Once a route that includes charging pile stations has been planned, historical charging pile data can be used to evaluate the rationality of this route. For example, if historical data shows that the charging piles in a service area are always very busy during a specific time period, even if the current real-time data shows that there are idle charging piles, the feasibility of this route needs to be considered. Or if historical data shows that the charging efficiency of the charging piles on a certain route is low, it is necessary to determine whether this route is really the best choice.

[0074] In this embodiment, by standardizing the format of charging pile data, charging pile data from different sources and in different formats can be unified to make the data consistent, which is convenient for data processing, analysis and sharing; real-time charging pile data is used for travel planning, which can fully consider the real-time status of the charging pile that matches the vehicle on the current date, and by selecting the optimal charging point and driving route, the entire travel process can be smoother and travel efficiency can be improved; historical charging pile data is used to evaluate the planned route, and the planned route can be adjusted to select a more suitable charging point or driving route, thereby improving the reliability and efficiency of the route planned by the super equipment management platform.

[0075] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the first embodiment can be referred to the above introduction, and will not be described in detail later. Figure 3 , Figure 3This is a flow chart of the second embodiment of the data collection method based on the super device management platform of the present application. The data collection method based on the super device management platform includes steps D10 to D40:

[0076] Step D10, collecting camera data of the monitoring charging pile through the Hongmeng controller and the camera object model instance;

[0077] It should be noted that in order to monitor the charging piles in the service area, it is necessary to establish a physical model for the camera. Through the camera physical model instance, the camera data is collected to monitor whether the charging piles are occupied and the queue situation of using the charging piles.

[0078] Step D20, obtaining vehicle information and travel information of the vehicle, and obtaining the expressway section between the vehicle travel starting points on the current date according to the travel information;

[0079] It should be noted that the first step is to obtain various information about the vehicle itself (model, charging port type, charging port voltage, etc.) and the vehicle's travel information (such as travel time, starting point, etc.). Under the specific time condition of the current date, find the highway section between the vehicle's travel starting point. This is used to analyze and obtain the charging pile data of the service area on the highway section that the vehicle passes through.

[0080] Step D30, generating a highway path list according to the highway section, and determining target camera data and target charging pile data matching the vehicle information in the highway path list;

[0081] It should be noted that a highway path list is first generated based on the previously determined highway sections. The highway path list contains detailed information on each node and section in the highway section. In this highway path list, the target camera data and target charging pile data that match the vehicle information are determined. The target camera data monitors the charging pile data that matches the vehicle information, such as the queue status of the charging pile, and the target charging pile data is data related to the charging piles that the vehicle may use on the highway path, such as the location of the charging pile, whether it is available, and the charging power.

[0082] Step D40, planning the path of the vehicle according to the target camera data, the target charging pile data and the distance data between the vehicle and the highway service area.

[0083] It should be noted that the queue of charging piles matching the vehicle information is determined based on the camera data of the monitoring target charging piles, the location and status (idle or not, charging speed, etc.) of the charging piles matching the vehicle information is determined based on the target charging pile data, and the nearest high-speed service area that can be charged is determined based on the distance data between the vehicle and the high-speed service area. The idea is to consider how to allow the vehicle to charge without queuing during driving, and to use the charging piles conveniently when charging is needed, and at the same time, to arrange the itinerary reasonably based on the distance from the high-speed service area.

[0084] In a feasible implementation manner, step D40 includes:

[0085] Perform weighted calculation on target camera data, target charging pile data, and distance data between the vehicle and the highway service area to obtain real-time weighted calculation results;

[0086] According to the historical weighted calculation results and the real-time weighted calculation results on the same expressway on the current date, a expressway is selected in which the number of idle charging piles matching the vehicle information is greater than or equal to a preset number threshold.

[0087] It should be noted that the target camera data is the data of the charging piles that monitor the vehicle information, such as the flow of vehicles around the charging piles, the queue status and other visual information. The target charging pile data is the data that matches the vehicle information, such as whether the charging pile is idle, the charging power, etc. The distance data between the vehicle and the highway service area reflects the distance between the vehicle and each highway service area. Weighted calculation is to assign weights to each data, and calculate according to the weights to obtain a comprehensive result, that is, the real-time weighted calculation result.

[0088] The historical weighted calculation results are the data obtained by calculating on the same highway route during the historical period. These data reflect the comprehensive situation on the route in the past. Combining these two types of data, a highway route is selected that matches the vehicle information and has a number of idle charging piles greater than or equal to a preset threshold (for example, there are at least 2 idle charging piles).

[0089] In this embodiment, weighted calculation can integrate information from multiple aspects, which is more comprehensive than considering a single data, and improves the rationality of decision-making. Combining historical and real-time data can improve the accuracy of selecting high-speed routes, reduce the risk of no charging piles after the vehicle arrives, and improve the reliability and efficiency of the entire journey.

[0090] In another feasible implementation manner, after step D40, steps E10 to E20 are included:

[0091] Step E10, periodically collecting vehicle location information through the super device application terminal installed in the vehicle, and marking the travel range according to the vehicle location information;

[0092] It should be noted that the super device application installed in the vehicle has the function of collecting vehicle location information, wherein the super device application is managed through the super device management platform. For example, the vehicle's current location coordinates can be obtained through the GPS (Global Positioning System) or other positioning technologies (such as the Beidou Positioning System, etc.) on the vehicle. The super device application periodically collects vehicle location information and continuously obtains vehicle location information. After obtaining the vehicle's location information, the super device management platform uses the map's electronic fence technology to follow up the current vehicle and mark the travel range according to the reported vehicle location information. This travel range can be an irregular polygonal area, which reflects the vehicle's activity space within a certain period of time.

[0093] Step E20, obtaining real-time charging pile data matching the vehicle information within the travel range, and adjusting the vehicle's travel route in real time according to the real-time charging pile data.

[0094] It should be noted that after obtaining the travel range, the real-time charging pile data that matches the vehicle information. Vehicle information includes the vehicle's battery type (such as lithium battery, lead-acid battery, etc.), charging interface type (such as fast charging interface type, slow charging interface type, etc.), current power, etc. Real-time charging pile data refers to various relevant information of the current charging pile, such as whether the charging pile is idle, charging power, etc.

[0095] When the matching real-time charging pile data is obtained, the vehicle's travel route can be adjusted in real time based on the real-time charging pile data. If it is found that the charging piles on the originally planned route ahead are busy, and there are idle and suitable charging piles on another nearby route, the vehicle's travel route can be changed to the direction of the idle charging pile. This involves re-planning the route, taking into account factors such as road conditions and distance to ensure that the vehicle can successfully reach the service area or location with idle charging piles.

[0096] In this embodiment, the vehicle location information is collected periodically so that the vehicle's location dynamics can be continuously tracked. After marking the travel range according to this location information, the vehicle can find available charging piles in time. Adjusting the travel route according to the real-time charging pile data can make the vehicle use energy more efficiently, reduce the parking waiting time in the overall journey, and avoid delays caused by waiting for charging.

[0097] In this embodiment, the camera data can be accurately and stably collected by utilizing the high efficiency of the Hongmeng controller and the standardized data structure of the camera object model instance. This helps to obtain the situation around the charging pile in real time, such as whether there are vehicles charging, traffic conditions around the charging pile, and other information. This precise data collection is the basis for subsequent vehicle management and path planning, reducing data transmission delays and improving the overall response speed of the system. The travel route is planned by fully considering the distribution and availability of charging piles on the travel route, solving the problem of difficult itinerary planning.

[0098] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the data collection method based on the super device management platform of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0099] This application also provides a data collection device based on a super device management platform, please refer to Figure 4 , the data acquisition device based on the super equipment management platform includes:

[0100] Establishing module 10, for establishing a charging pile object model on a super device management platform based on the Hongmeng controller;

[0101] A connection module 20 is used to use the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area;

[0102] The collection module 30 is used to collect charging pile data from various charging pile manufacturers through the Hongmeng controller.

[0103] Optionally, the data acquisition device based on the super equipment management platform includes a construction module for:

[0104] On the super device management platform based on Hongmeng controller, build a Hongmeng controller for each high-speed service area;

[0105] The charging pile physical model of each highway service area is controlled by the Hongmeng controller to collect charging pile data of each charging pile manufacturer in each highway service area.

[0106] Optionally, a planning module is further included for: collecting camera data of monitoring charging piles through the Hongmeng controller and the camera object model instance;

[0107] Obtain vehicle information and trip information of the vehicle, and obtain the expressway section between the vehicle travel starting points on the current date according to the trip information;

[0108] Generate a highway path list according to the highway section, and determine the target camera data and target charging pile data matching the vehicle information in the highway path list;

[0109] The vehicle path is planned based on the target camera data, the target charging pile data and the distance data between the vehicle and the highway service area.

[0110] Optionally, the planning module is further used to: perform weighted calculation on target camera data, target charging pile data, and distance data between the vehicle and the highway service area to obtain a real-time weighted calculation result;

[0111] According to the historical weighted calculation results and the real-time weighted calculation results on the same expressway on the current date, a expressway is selected in which the number of idle charging piles matching the vehicle information is greater than or equal to a preset number threshold.

[0112] Optionally, the planning module is further used to: periodically collect vehicle location information through a super device application terminal installed in the vehicle, and mark the travel range according to the vehicle location information;

[0113] Acquire real-time charging pile data that matches the vehicle information within the travel range, and adjust the vehicle's travel route in real time according to the real-time charging pile data.

[0114] Optionally, the acquisition module 30 is further used to: standardize the format of the charging pile data of each charging pile manufacturer to obtain standard charging pile data;

[0115] The standard charging pile data is split according to a preset time period to obtain historical charging pile data and real-time charging pile data, wherein the real-time charging pile data is used for path planning, and the historical charging pile data is used to evaluate the planned path.

[0116] The data acquisition device based on the super device management platform provided by the present application adopts the data acquisition method based on the super device management platform in the above embodiment, which can solve the technical problem of data isolation of the charging pile data of the charging pile manufacturer. Compared with the prior art, the beneficial effects of the data acquisition device based on the super device management platform provided by the present application are the same as the beneficial effects of the data acquisition method based on the super device management platform provided by the above embodiment, and the other technical features of the data acquisition device based on the super device management platform are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0117] The present application provides a super device management platform, which includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the data collection method based on the super device management platform in the first embodiment above.

[0118] Reference below Figure 5 , which shows a schematic diagram of the structure of a super device management platform suitable for implementing the embodiment of the present application. The super device management platform in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The super device management platform shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0119] like Figure 5 As shown, the super device management platform may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the super device management platform are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the super device management platform to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a super device management platform with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0120] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0121] The super device management platform provided by this application adopts the data collection method based on the super device management platform in the above embodiment, which can solve the technical problem of data isolation of the charging pile data of the charging pile manufacturer. Compared with the prior art, the beneficial effects of the super device management platform provided by this application are the same as the beneficial effects of the data collection method based on the super device management platform provided in the above embodiment, and the other technical features in the super device management platform are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0122] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0123] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0124] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the data collection method based on the super device management platform in the above-mentioned embodiment.

[0125] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0126] The computer-readable storage medium may be included in the super device management platform; or may exist independently without being assembled into the super device management platform.

[0127] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the super device management platform, the super device management platform: establishes a charging pile physical model on the super device management platform based on the Hongmeng controller; uses the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area; and collects the charging pile data of each charging pile manufacturer through the Hongmeng controller.

[0128] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0129] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0130] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0131] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned data collection method based on the super device management platform, and can solve the technical problem of data isolation of the charging pile data of the charging pile manufacturer. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the data collection method based on the super device management platform provided in the above-mentioned embodiment, and will not be repeated here.

[0132] The present application also provides a computer program product, including a computer program, which implements the steps of the data collection method based on the super device management platform as described above when executed by a processor.

[0133] The computer program product provided by this application can solve the technical problem of data isolation of charging pile data of charging pile manufacturers. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the data collection method based on the super device management platform provided by the above embodiment, which will not be repeated here.

[0134] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A data collection method based on a super device management platform, characterized in that: The method comprises: Establish a charging pile model on the super device management platform based on Hongmeng controller; Use the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area; The charging pile data of each charging pile manufacturer is collected through the Hongmeng controller.

2. The method according to claim 1, characterized in that The method further comprises: On the super device management platform based on Hongmeng controller, build a Hongmeng controller for each high-speed service area; The charging pile physical model of each highway service area is controlled by the Hongmeng controller to collect charging pile data of each charging pile manufacturer in each highway service area.

3. The method according to claim 1, characterized in that The method comprises: Collect camera data of the monitoring charging pile through the Hongmeng controller and the camera object model instance; Obtain vehicle information and trip information of the vehicle, and obtain the expressway section between the vehicle travel starting points on the current date according to the trip information; Generate a highway path list according to the highway section, and determine the target camera data and target charging pile data matching the vehicle information in the highway path list; The vehicle path is planned based on the target camera data, the target charging pile data and the distance data between the vehicle and the highway service area.

4. The method according to claim 3, characterized in that The step of performing a vehicle path planning based on the target camera data, the target charging pile data, and the distance data between the vehicle and the high-speed service area includes: Perform weighted calculation on target camera data, target charging pile data, and distance data between the vehicle and the highway service area to obtain real-time weighted calculation results; According to the historical weighted calculation results and the real-time weighted calculation results on the same expressway on the current date, a expressway is selected in which the number of idle charging piles matching the vehicle information is greater than or equal to a preset number threshold.

5. The method according to claim 3, characterized in that After the step of performing vehicle path planning according to the target camera data, the target charging pile data and the distance data between the vehicle and the high-speed service area, the method further comprises: The vehicle location information is periodically collected through the super device application terminal installed in the vehicle, and the travel range is marked according to the vehicle location information; Acquire real-time charging pile data that matches the vehicle information within the travel range, and adjust the vehicle's travel route in real time according to the real-time charging pile data.

6. The method according to claim 1, characterized in that After the step of collecting the charging pile data of each charging pile manufacturer through the Hongmeng controller, the method further includes: Standardize the format of charging pile data from various charging pile manufacturers to obtain standard charging pile data; The standard charging pile data is split according to a preset time period to obtain historical charging pile data and real-time charging pile data, wherein the real-time charging pile data is used for path planning, and the historical charging pile data is used to evaluate the planned path.

7. A data collection device based on a super equipment management platform, characterized in that: The data acquisition device based on the super equipment management platform includes: Establish a module for building a charging pile model on the super device management platform based on the Hongmeng controller; A connection module, used to use the charging pile physical model instance of the same high-speed service area as a sub-device of the Hongmeng controller of the service area; The collection module is used to collect charging pile data from various charging pile manufacturers through the Hongmeng controller.

8. A super device management platform, characterized in that: The super device management platform includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the data collection method based on the super device management platform as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the data collection method based on the super device management platform as described in any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the data collection method based on the super device management platform as claimed in any one of claims 1 to 6 are implemented.

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