CN118306250A - Intelligent edge monitoring device and method for electric automobile charging pile - Google Patents
Intelligent edge monitoring device and method for electric automobile charging pile Download PDFInfo
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Abstract
The invention belongs to the technical field of remote monitoring of electric vehicle charging pile clusters in regional power distribution networks, and particularly relates to an intelligent edge monitoring device and method for electric vehicle charging piles. The invention includes data acquisition; pre-screening data; uploading the pre-screened data to a cloud end through a cloud-edge communication module based on a 5G communication protocol; the intelligent monitoring module is used for realizing real-time monitoring of the acquired data; and scheduling the uploaded data based on the charging state of the electric automobile and the power grid load condition through the V2G charging and discharging control module. The invention greatly reduces the transmission quantity of invalid data, improves the response speed of the system while relieving the operation pressure of the operation center, greatly reduces the consumption of manpower and obviously improves the detection precision of the system.
Description
Technical Field
The invention belongs to the technical field of remote monitoring of electric vehicle charging pile clusters in regional power distribution networks, and particularly relates to an intelligent edge monitoring device and method for electric vehicle charging piles, in particular to an intelligent edge monitoring device and method for electric vehicle charging piles based on cloud edge fusion.
Background
The cloud edge fusion computing technology is a technology for establishing data interconnection and intercommunication between cloud layers and edge computing processes, dynamically allocating computing resources, realizing the coordination of cloud layer high-throughput computing capability and edge layer high-timeliness computing capability distribution, and meeting exponential-level data computing requirements brought by a ubiquitous network and millisecond-level computing response requirements proposed by a low-delay application scene.
As the market for electric vehicles expands, the construction of charging infrastructure becomes a critical supporting factor. The number of electric car charging piles has increased dramatically, and an intelligent monitoring system is required to ensure efficient operation, reliability and user satisfaction.
Because of the lack of the intelligent monitoring device for the charging pile in the current common area, a plurality of adverse effects are brought to the development of the electric automobile, for example, the fault or abnormal condition of the charging pile is difficult to detect, so that the charging pile is unavailable for a long time, and the user experience is influenced; the energy consumption management is inaccurate, and the real-time monitoring of the electric energy consumption condition of the charging pile is lacked, so that the energy consumption of the charging pile is uncontrolled, and the operation cost is increased; the service condition of the charging pile and the user requirement are difficult to know in real time, and the information such as the idle condition, the charging speed and the like of the charging pile cannot be known in time; energy scheduling and management are difficult to carry out according to real-time requirements, so that high-power charging piles still operate when the charging requirements are low, and energy waste is increased.
Aiming at the condition of the existing lack of the intelligent monitoring device of the charging pile, the following solution is generally adopted:
Operators or maintenance personnel periodically patrol and maintain the charging pile, and receive feedback and complaints of users through a manual service center or a customer support team. However, the charging pile management mode is a basic charging pile management mode, the specific problems cannot be monitored and solved in real time, time delay exists in the mode, sudden faults or anomalies cannot be timely handled at the first time, great inconvenience is brought to users, and great burden is brought to the work of maintenance personnel.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent edge monitoring device and method for an electric automobile charging pile. The method aims to realize remote intelligent monitoring of the electric automobile charging pile clusters and improve the detection precision of the system; the invention aims to reduce the manpower consumption, reduce the operation cost and accelerate the response speed of the system.
The technical scheme adopted by the invention for achieving the purpose is as follows:
An electric automobile fills electric pile intelligent edge monitoring device, includes: the device comprises a sensor interface circuit, an A/D converter, a data storage circuit, an edge computer, a communication circuit, an intelligent monitoring circuit and a V2G charge-discharge control circuit; the output end of the sensor interface circuit is connected with the A/D converter, the output end of the A/D converter is connected with the data storage circuit, the input end of the data storage circuit is connected with the edge computer, the output end of the edge computer is connected with the communication circuit, the input end of the communication circuit is connected with the intelligent monitoring circuit, and the output end of the intelligent monitoring circuit is connected with the V2G charge-discharge control circuit through the digital interface.
Further, the intelligent charging and discharging control system comprises a power state sensing module, an edge computing module, a cloud edge communication module, an intelligent monitoring module and a V2G charging and discharging control module; the power state sensing module is connected with the edge computing module; the edge computing module is connected with the cloud edge communication module; the cloud side communication module is connected with the cloud side and the intelligent monitoring module respectively; the intelligent monitoring module is connected with the V2G charge-discharge control module; and the V2G charging and discharging control module controls the charging pile of the charging station.
Still further, the power state sensing module includes: a current detection and acquisition unit; a voltage detection and acquisition unit; a temperature detection and acquisition unit; a humidity detection and acquisition unit; a motion state detection and acquisition unit; the units are in parallel relation; the current detection and acquisition unit is used for acquiring and reading current signals; the voltage detection and acquisition unit is used for acquiring and reading voltage signals; the temperature detection and acquisition unit is used for acquiring and reading temperature signals; the humidity detection and acquisition unit is used for acquiring and reading humidity signals; the motion state detection and acquisition unit is used for reading the motion state of the electric automobile.
Still further, the edge calculation module includes: a multi-source data discrimination unit; a real-time analysis and decision unit; a security and privacy protection unit; a data storage unit; a remote management and monitoring unit; an error processing and logging unit; the multi-source data distinguishing unit is used for distinguishing and integrating data from the multi-file data source and processing and classifying the data; the real-time analysis and decision unit is used for analyzing and processing the real-time data; the security and privacy protection unit is used for protecting the security and privacy of the data; the data storage unit is used for storing data and providing a lasting storage and management function of the data; the error processing and log unit is used for processing errors and abnormal conditions in the running process of the system, recording log information and performing error diagnosis and processing;
The cloud edge communication module comprises: a data transmission unit; drives and protocols for wireless communication technology; a communication protocol processing unit; a data security and privacy unit; a remote command and control unit; an error processing and logging unit; the data transmission unit is used for transmitting data; drivers and protocols for wireless communication technologies are used to provide the hardware and software support required for wireless communication; the communication protocol processing unit is used for processing a protocol used in a communication process; the data security and privacy unit is used for providing an encryption security function of the data; the remote command and control unit is used for allowing a command or a control instruction to be sent in a remote mode; the error processing and logging unit is used for monitoring and processing errors in the communication process, logging and providing diagnostic information to help identify and solve communication or system problems;
the intelligent monitoring module includes: a charging pile management unit; a real-time monitoring unit; a data evaluation and status dividing unit; a user interface unit; an alarm unit; a history data storage unit; the charging pile management unit is used for displaying detailed information of each charging pile; the real-time monitoring unit is used for monitoring the real-time states of the electric automobile and the charging pile; the data evaluation and state division unit is used for grading the SOC of the electric automobile; the user interface unit is used for being connected with the front end and carrying out information interaction with a user; the alarm unit is used for giving an alarm when the charging pile has a fault problem; the historical data storage unit is used for storing effective data within 30 days;
The V2G charge-discharge control module comprises: a charging control unit; a discharge control unit; charging protocols and communication protocols; an energy management unit; a grid interconnection gateway; the charging control unit and the discharging control unit are used for controlling the charging and discharging of the charging pile; the charging protocol and the communication protocol are used for defining rules and standards for communication and data exchange between different devices; the power grid interconnection gateway is used for monitoring the power grid state and managing the electric energy flow.
Still further, the power state sensing module is configured to provide real-time and accurate key data in the charging process of the electric vehicle by sensing the surrounding environment and the state of the charging pile, and includes:
(1) The analog signals of current, voltage, temperature and humidity and the motion state signals of the electric automobile are collected through the sensor, and the analog signals are converted into corresponding digital signals through an analog-to-digital conversion process;
(2) Recording the power state data obtained by real-time monitoring by using recording equipment;
The edge computing module is used for performing real-time data processing on an edge side and transferring computing tasks from a cloud to the vicinity of equipment, and comprises the following steps:
(1) The edge equipment is connected to the edge computing node through a network, and data are acquired from peripheral sensors or equipment;
(2) Performing real-time data processing on edge equipment or edge nodes;
(3) Integrating data transmitted by a plurality of edge devices to obtain more comprehensive information;
the cloud side communication module is used for realizing efficient and reliable data transmission and communication between devices and between the devices and the cloud side, and comprises the following components:
(1) The edge equipment is connected to a cloud server through a 5G internet to construct an HTTP request;
(2) The edge device sends an HTTP request to the cloud end through the established connection, and the cloud end processes the HTTP request after receiving the request to construct an HTTP response;
(3) The cloud transmits the constructed HTTP response back to the edge equipment through the network, and the edge equipment processes the HTTP response according to the content of the HTTP response;
The intelligent monitoring module is used for managing electric automobile fills electric pile, shows the detailed information of every fills electric pile to show the data that fills electric pile's state and sensor gathered, evaluate above index, divide electric automobile state grade, include:
(1) Monitoring the health of the battery;
(2) Monitoring the charging rate and the efficiency;
(3) Monitoring the temperature of the battery in the charging process;
(4) According to the monitoring result, dividing the state grade of the electric automobile, comprising: full power, normal power, low power and insufficient power.
Furthermore, the multi-source data analysis unit is configured to implement omni-directional data viewing angle monitoring of the charging pile system by integrating the multi-information from the side, and includes:
(1) Integrating the multi-source information of the charging states of the electric vehicles collected by the sensor;
(2) Carrying out feature extraction and selection on the data, identifying and extracting important data features, and reducing the dimension of the data;
(3) Detecting and correcting the abnormal data in real time, detecting abnormal data values by using an IF algorithm, and correcting the data by using a cubic spline interpolation method.
Still further, the detecting the data outliers using the IF algorithm includes:
step 3.1, randomly selecting a plurality of characteristic values from the data acquisition to construct a characteristic space;
step 3.2, randomly dividing characteristic values in an extremum range, and constructing an isolation tree to form an isolation forest;
step 3.3, calculating the score of the abnormal point, wherein the greater the abnormal value is compared with the normal data, the higher the score of the abnormal value is; the abnormal data is corrected by using a cubic spline interpolation method for the abnormal data, and the abnormal data is shown as the following formula:
In the above-mentioned method, the step of, ，，，The coefficient is calculated by interpolation points, x is an independent variable, and x i is a point in an independent variable interval.
An intelligent edge monitoring method for an electric automobile charging pile comprises the following steps:
Step 1, data acquisition is carried out on key electric power parameters and the running state of the charging pile by a sensor on the charging pile through a power state sensing module;
Step 2, data pre-screening, performing preliminary analysis on data quality through an edge calculation module, and extracting key features;
step 3, uploading the pre-screened data to a cloud end through a cloud-edge communication module based on a 5G communication protocol;
step 4, realizing real-time monitoring of the acquired data through an intelligent monitoring module;
and 5, dispatching the uploaded data based on the charging state of the electric automobile and the load condition of the power grid through a V2G charging and discharging control module.
Still further, electric automobile fill electric pile intelligent edge monitoring device, include:
The data acquisition module is used for acquiring data of key power parameters and the running state of the charging pile by means of the sensor on the charging pile through the power state sensing module;
The key feature extraction module is used for pre-screening data, performing preliminary analysis on the data quality through the edge calculation module, and extracting key features;
the uploading module is used for uploading the pre-screened data to the cloud end through the cloud edge communication module based on the 5G communication protocol;
the monitoring module is used for realizing real-time monitoring of the acquired data through the intelligent monitoring module;
the scheduling module is used for scheduling the uploaded data based on the charging state of the electric automobile and the power grid load condition through the V2G charging and discharging control module;
the monitoring device is used for realizing the steps of the intelligent edge monitoring method for the electric automobile charging pile.
The computer equipment comprises a storage medium, a processor and a computer program which is stored on the storage medium and can run on the processor, wherein the processor realizes the steps of the intelligent edge monitoring method of the electric automobile charging pile when executing the computer program.
The computer storage medium is provided with a computer program, and the computer program is executed by a processor to realize the steps of the intelligent edge monitoring method for the electric automobile charging pile.
The invention has the following beneficial effects and advantages:
according to the cloud-edge collaborative charging pile monitoring system, the cloud-edge collaborative charging pile can be remotely monitored in a large scale, the data interconnection and intercommunication between cloud layers and the edge layer in the calculation process are established, the calculation resources are dynamically allocated, the system detection precision is improved, and the system response speed is accelerated.
The invention also uses edge calculation, greatly reduces the transmission quantity of invalid data, and improves the response speed of the system while relieving the operation pressure of an operation center; on the other hand, the intelligent edge detection device for the charging pile of the electric automobile based on cloud edge fusion is developed, so that the consumption of manpower can be greatly reduced, and meanwhile, the detection precision of a system is remarkably improved.
The invention adopts the multisource data analysis module, realizes the omnibearing data visual angle monitoring of the charging pile system by integrating the multielement information from the side end, and adopts the isolated forest algorithm to detect abnormal data, thereby effectively ensuring the timeliness and reliability of data transmission.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a block diagram of the overall structure of an edge monitoring device of the present invention;
FIG. 2is a block diagram of the constituent architecture of the hardware system of the present invention;
FIG. 3 is a block diagram of the component architecture of the software system of the present invention;
FIG. 4 is a block diagram showing the structure of a multi-source data resolution unit in an edge calculation module according to the present invention;
FIG. 5 is a flow chart of the method and steps of the edge calculation module of the present invention;
FIG. 6 is a flow chart of the construction of the trusted backtracking information chain model in the present invention.
In the figure: an external device 1.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, without conflict, the embodiments of the present invention and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
The following describes some embodiments of the present invention with reference to fig. 1-6.
Example 1
The invention provides an embodiment, in particular to an intelligent edge monitoring device for an electric vehicle charging pile based on cloud edge fusion. As shown in fig. 1, fig. 1 is a block diagram showing the overall structure of the edge monitoring device of the present invention. The electric pile, electric automobile fills electric pile intelligent edge monitoring device and fills electric pile and be connected, wherein, electric wire netting, fill electric pile, electric automobile are all external device 1, fill electric pile and merge the electric wire netting, and electric automobile inserts to fill electric pile and charges.
As shown in fig. 2, fig. 2 is a block diagram of a component structure of a hardware system of the intelligent edge monitoring device for the electric automobile charging pile, and the intelligent edge monitoring device for the electric automobile charging pile comprises: the device comprises a sensor interface circuit, an A/D converter, a data storage circuit, an edge computer, a communication circuit, an intelligent monitoring circuit and a V2G charge-discharge control circuit. The sensor interface circuit is connected with the A/D converter; the A/D converter is connected with the data storage circuit; the data storage circuit is connected with the edge computer; the edge computer is connected with the communication circuit; the communication circuit is connected with the intelligent monitoring circuit; the intelligent monitoring circuit is connected with the V2G charge-discharge control circuit.
In specific implementation, the sensor interface circuit is connected to the output end of the sensor, the A/D converter is connected to the output end of the sensor interface circuit through a digital signal, the data storage circuit is connected to the output end of the A/D converter through a digital interface, the edge computer is connected to the input end of the data storage circuit through a digital interface, the communication circuit is connected to the output end of the edge computer through a digital interface, the intelligent monitoring circuit is connected to the input end of the communication circuit through a digital interface, and the V2G charge-discharge control circuit is connected to the output end of the intelligent monitoring circuit through a digital interface.
Example 2
The invention further provides an embodiment, which is an intelligent edge monitoring device for the charging pile of the electric automobile.
As shown in FIG. 3, FIG. 3 is a block diagram of the software system of the device according to the present invention, where the device according to the present invention includes a power state sensing module, an edge computing module, a cloud edge communication module, an intelligent monitoring module, and a V2G (Vehicle-to-Grid) charge/discharge control module. The power state sensing module is connected with the edge computing module; the edge computing module is connected with the cloud edge communication module; the cloud side communication module is connected with the cloud side; the cloud edge communication module is connected with the intelligent monitoring module; the intelligent monitoring module is connected with the V2G charge-discharge control module; and the V2G charging and discharging control module controls the charging pile of the charging station.
The power state sensing module includes: a current detection and acquisition unit; a voltage detection and acquisition unit; a temperature detection and acquisition unit; a humidity detection and acquisition unit; and the motion state detection and acquisition unit. The units are in parallel relation, wherein the current detection and acquisition unit is responsible for acquiring and reading current signals; the voltage detection and acquisition unit is responsible for acquiring and reading voltage signals; the temperature detection and acquisition unit is responsible for acquiring and reading temperature signals; the humidity detection and acquisition unit is responsible for acquiring and reading humidity signals; the motion state detection and acquisition unit is responsible for reading and reading the motion state of the electric automobile.
The power state sensing module is used for sensing the states of the surrounding environment and the charging pile to provide various key data in the real-time and accurate electric vehicle charging process, and specifically comprises the following steps:
Step 1, acquiring analog signals such as current, voltage, temperature, humidity and the like and motion state signals of the electric automobile through a sensor, and converting the analog signals into corresponding digital signals through an analog-to-digital conversion process.
And 2, recording the power state data obtained by real-time monitoring by using recording equipment.
The power state sensing module is mainly responsible for monitoring interaction between the charging interface and the power interface of the electric automobile, and continuously acquiring key power parameters and the running state of the charging pile by means of a sensor on the charging pile. In the process, the connection between the charging interface and the power interface of the electric automobile plays a crucial role. Through the connection, the sensor can measure key parameters such as voltage, current, battery charge state SOC and the like in real time, wherein the voltage comprises alternating current voltage and direct current voltage; the current includes alternating current and direct current. Meanwhile, by monitoring the running state of the electric automobile, important information about the automobile behavior in the charging process can be obtained, the power state sensing module can timely find out the abnormal condition of the charging pile, the fault cause is diagnosed, the reliability of the charging pile is improved, and meanwhile, the service efficiency is also improved.
(2) The edge calculation module includes: a multi-source data discrimination unit; a real-time analysis and decision unit; a security and privacy protection unit; a data storage unit; a remote management and monitoring unit; error handling and logging unit.
The multi-source data analysis unit is responsible for analyzing and integrating data from the multi-data source, processing and classifying the data, and providing preparation for subsequent analysis and decision.
The real-time analysis and decision unit is used for analyzing and processing the real-time data to support decision implementation.
The security and privacy protection unit is mainly responsible for protecting the security and privacy of data, including functions of data encryption, identity verification and the like, and ensures the security of the data.
The data storage unit is used for storing data and providing the functions of persistent storage and management of the data.
The error processing and log unit is responsible for processing errors and abnormal conditions in the running process of the system, recording log information and performing error diagnosis and processing so as to ensure the normal running of the system and the reliability of data processing.
The edge computing module is used for carrying out real-time data processing on the edge side, and transferring computing tasks from the cloud to the vicinity of the device, so that dependence on the cloud is reduced, and the real-time performance and the overall efficiency of the system are improved.
As shown in fig. 5, fig. 5 is a flowchart of a method and steps for calculating an edge module in the present invention, where the edge calculation specifically includes the following steps:
and step 1, the edge equipment is connected to an edge computing node through a network, and data are acquired from peripheral sensors or equipment. The acquired data includes: and the electric parameters such as current, voltage and the like acquired by the charging pile sensor, vehicle state data transmitted by the electric vehicle controller and the like.
And 2, performing real-time data processing on the edge equipment or the edge node. The real-time data processing includes: preliminary verification of data quality, cleaning of data, conversion of data format and preliminary analysis of data. For data needing further analysis, the edge computing module performs feature extraction, including extracting key features such as frequency, amplitude, change trend and the like from the original data, and provides powerful support for further analysis of subsequent data.
And 3, integrating the data transmitted by the plurality of edge devices to acquire more comprehensive information. And deploying a local decision algorithm on the edge computing node for carrying out real-time decision locally.
The edge calculation module is responsible for processing the charging pile real-time monitoring data acquired by the power state sensing module, and the burden of the cloud is lightened by carrying out calculation and analysis locally, so that faster data processing and response are realized. In addition, when the edge computing module performs real-time data processing locally, sensitive information does not need to be transmitted to the cloud, so that the security of user data privacy is improved, and the edge computing module can cope with network interruption, and can perform data processing to a certain extent even if the network is unstable or interrupted.
As shown in fig. 4, fig. 4 is a block diagram showing the composition and structure of a multi-source data resolving unit in an edge computing module according to the present invention. The multi-source data resolution unit includes: the system comprises a data interface function module, a data preprocessing function module, a data integration function module, a feature extraction function module, a data analysis algorithm function module, an abnormality monitoring and correcting function module and the like.
The data interface functional module can realize data transmission, including data input, output, storage, retrieval and other operations, and can help to realize unification of data formats and standards, so that data can be transferred correctly.
The data preprocessing functional module is responsible for performing operations such as cleaning, denoising, filling missing values, processing abnormal values, feature scaling and the like on the original data so as to prepare a data form for subsequent analysis and modeling.
The data integration function module integrates data from different data sources into a unified data set, and performs data matching, association and integration to create a complete and consistent data resource, so that subsequent analysis and application are facilitated.
The feature extraction functional module extracts effective features from the original data, and through the technologies of feature selection, feature transformation and the like, the data dimension is reduced, and the efficiency is improved.
The data analysis algorithm functional module comprises various data analysis and machine learning algorithms for finding relations and trends from the data and performing data exploration and predictive analysis.
The abnormal monitoring and correcting function module is used for monitoring abnormal values or abnormal modes in the data and taking corresponding correcting measures, such as an abnormal detection algorithm, an abnormal value processing method and the like, so as to ensure the quality of the data and the reliability of analysis results.
The multisource data analysis unit is used for realizing the omnibearing data visual angle monitoring of the charging pile system by integrating the multisystem information from the side end.
The working process of the multisource data analysis unit specifically comprises the following steps:
step 1, integrating multisource information such as the charging state of the electric automobile and the like acquired by a sensor;
Step 2, extracting and selecting the characteristics of the data, identifying and extracting important data characteristics, and reducing the dimension of the data;
And 3, detecting and correcting the data in real time, detecting abnormal values of the data by using an IF algorithm (Isolation Forest algorithm), and correcting the data by using a cubic spline interpolation method.
In the multisource data analysis unit, an IF algorithm is used for detecting abnormal data values, namely an isolation forest algorithm, and the IF algorithm is suitable for unsupervised abnormal detection in continuous data and suitable for detection of power state data of an electric automobile. The method specifically comprises the following steps:
step 3.1, randomly selecting a plurality of characteristic values from the data acquisition to construct a characteristic space;
step 3.2, randomly dividing characteristic values in an extremum range, and constructing an isolation tree to form an isolation forest;
Step 3.3, calculating the score of the outlier, wherein the greater the outlier is compared with the normal data, the higher the score of the outlier is. The abnormal data is corrected by using a cubic spline interpolation method for the abnormal data, and the abnormal data is shown as the following formula:
In the above-mentioned method, the step of, ，，，The coefficient is calculated by interpolation points, x is an independent variable, and x i is a point in an independent variable interval.
(3) The cloud edge communication module comprises: a data transmission unit; drives and protocols for wireless communication technologies (e.g., 5G, wi-Fi, etc.); a communication protocol processing unit; a data security and privacy unit; a remote command and control unit; error handling and logging unit.
The data transmission unit is responsible for transmitting data, and the speed, stability and accuracy of data transmission are ensured.
The drivers and protocols of wireless communication technologies provide the hardware and software support required for wireless communication, ensuring that devices can communicate efficiently.
The communication protocol processing unit is responsible for processing a protocol used in a communication process, ensures that a data packet is formatted according to a protocol specification, and ensures the reliability and the accuracy of communication.
The data security and privacy unit provides security functions such as encryption of data, and ensures the security of the data in the transmission and storage processes.
The remote command and control unit allows commands or control instructions to be sent remotely.
The error processing and logging unit is responsible for monitoring and processing errors in the communication process, logging and providing diagnostic information, helping to identify and solve communication or system problems, and improving the stability and reliability of the system.
The cloud side communication module is used for realizing efficient and reliable data transmission and communication between the devices and the cloud side. This module is responsible for transmitting real-time data acquired from various sensors to other system components or cloud, including current, voltage, temperature, etc. information related to the operational status of the charging pile.
The cloud edge communication module comprises the following specific communication steps:
Step 1, the edge device is connected to a cloud server through a 5G internet to construct an HTTP (Hyper Text Transfer Protocol ) request, including a request method, a target URL (Uniform Resource Locator, a uniform resource locator), authorized information and the like.
And 2, the edge equipment sends the HTTP request to the cloud end through the established connection, and the cloud end processes the HTTP request after receiving the request to construct an HTTP response.
And step3, the cloud transmits the constructed HTTP response back to the edge equipment through the network, and the edge equipment processes the HTTP response according to the content.
Through cloud side communication module, system operator or administrator can remote monitoring fills the state of electric pile at any time, carries out remote management operation, adjustment configuration or carries out maintenance operation. In addition, the cloud side communication module supports instruction transmission from the cloud side, and allows remote control operations to be performed, such as adjusting charging power, starting or stopping charging. Firmware upgrade and software update are also realized through the cloud-edge communication module so as to keep the system in the latest state. Secure communication is an important aspect thereof, ensuring encryption and private transmission of data. The cloud side communication module is simultaneously responsible for synchronizing locally stored data to the cloud for long-term storage and analysis. Through network adaptability, the communication parameters can be adaptively adjusted according to network conditions, and the stability and the efficiency of communication under different environments are ensured.
(4) The intelligent monitoring module includes: a charging pile management unit; a real-time monitoring unit; a data evaluation and status dividing unit; a user interface unit; an alarm unit; and a history data storage unit. The charging pile management unit displays detailed information of each charging pile; the real-time monitoring unit is responsible for monitoring the real-time states of the electric automobile and the charging pile; the data evaluation and state division unit carries out grade division on the SOC of the electric automobile; the user interface unit is connected with the front end and performs information interaction with a user; the alarm unit is responsible for giving an alarm when the charging pile has a fault problem; the historical data storage unit is responsible for storing valid data within 30 days so as to be checked by management personnel at any time.
The intelligent monitoring module is used for managing the electric automobile charging piles, displaying the detailed information of each charging pile, displaying the state of the charging pile and the data acquired by the sensor, evaluating the indexes, dividing the state grade of the electric automobile, and specifically monitoring and evaluating the electric automobile according to the following steps:
And 1, monitoring the health of the battery, estimating the charging state of the battery by using information such as current and voltage measurement, estimating the health condition of the battery based on factors such as charge and discharge cycle, temperature and voltage, measuring the internal resistance of the battery, and knowing the performance and aging condition of the battery.
And 2, monitoring the charging rate and the charging efficiency, monitoring the charging rate of the electric automobile on the charging pile, calculating the charging power by measuring the change of current and voltage, and further evaluating the speed of the charging rate. And analyzing the efficiency of the battery in the charging process, and evaluating the performance of the battery in the charging process by considering factors such as charging loss, current-voltage characteristics and the like.
And 3, monitoring the temperature of the battery in the charging process, monitoring the temperature of the battery, stopping charging when the battery is overheated, improving the charging efficiency of the battery and prolonging the service life of the battery.
According to the electric vehicle charging state evaluation result, five electric vehicle state grades are classified: full power; the electric quantity is sufficient; the electric quantity is normal; the electric quantity is low; the electric quantity is insufficient.
The intelligent monitoring module manages electric automobile fills electric pile, and intelligent monitoring module can show the detailed information of every electric pile that fills, includes: the charging pile equipment number, the equipment position, the position longitude and latitude, the beginning and the ending of the service time; and may display the status of the charging stake such as: charging, idle, maintenance, etc.; the intelligent monitoring module can display in real time, and the data acquired by the power state sensing module comprises: the battery state of charge (SOC), the battery state of health (SOH), the remaining endurance mileage, the charging speed, the charging efficiency, the battery temperature and the like are monitored in real time, the evaluation of the indexes is realized, and the state grade of the electric automobile is divided: full power soc=100%; sufficient electric quantity SOC is more than or equal to 80 percent; the electric quantity is 40 percent or more and the SOC is 80 percent or less; the electric quantity is reduced by 20 percent and SOC is reduced by 40 percent; the electric quantity is less than or equal to 20 percent of SOC.
(5) The V2G charge-discharge control module comprises: a charging control unit; a discharge control unit; charging protocols and communication protocols; an energy management unit; and (5) a grid interconnection gateway.
The charging control unit and the discharging control unit are responsible for controlling the charging and discharging of the charging pile; the charging protocol and the communication protocol define rules and standards for communication and data exchange between different devices; the grid interconnection gateway can monitor the state of the grid, manage the electric energy flow and ensure the efficient interconnection and operability between the charging pile and the grid.
The V2G charge-discharge control module is used for sensing the charging state of the electric automobile in real time through the sensor. The charging and discharging of the electric automobile can be scheduled according to the condition of the power grid load, and when the power demand is high, the electric automobile is utilized for charging so as to balance the power grid load, and the V2G charging and discharging control module can not only acquire power from the power grid, but also release the power stored in the battery back to the power grid. When the power demand is high, the electric automobile can provide additional power for the power grid to help balance the supply and demand relationship.
According to the classified electric automobile state grades, the charging and discharging of the electric automobile are remotely controlled, and when the electric automobile is in a full-power state and a sufficient-power state and the power demand reaches a peak, the V2G charging and discharging module controls the electric automobile to supply power to a power grid; when the electric automobile is in a low-power and low-power state, the electric automobile is controlled to be normally charged, and the power supply efficiency and reliability are improved.
Example 3
The invention provides an embodiment, in particular to an intelligent edge monitoring method for an electric automobile charging pile, as shown in fig. 6, and fig. 6 is a construction flow chart of a trusted backtracking information chain model in the invention.
The trusted backtracking information chain model is a model which is established in the whole data acquisition, transmission and reception links and is used for tracking information sources and ensuring information credibility. In this model, each piece of information is traced to its source and verified to confirm its authenticity, thereby constructing a chain of trusted information.
According to the intelligent edge monitoring method for the charging pile of the electric automobile, a complete and reliable backtracking information chain model is established in three links of whole data acquisition, transmission and reception, so that the whole process safety and reliability of the charging pile detection data are ensured. The method introduces a complete and reliable backtracking information chain model, and ensures that the whole process from generation to transmission of data is strictly protected.
The method specifically comprises the following steps:
step 1, acquiring data of key power parameters and the running state of a charging pile by a sensor on the charging pile through a power state sensing module;
In the data acquisition link, the safety of the charging pile sensor is ensured, and by adopting effective safety measures, the data source generated by the sensor is ensured to be true and reliable, the data is prevented from being maliciously tampered or forged, and a reliable basis is provided for subsequent data processing;
step 2, preliminary verification, pretreatment, cleaning and format conversion of data quality are carried out through an edge calculation module, and key features are extracted from original data through preliminary analysis;
step 3, uploading the pre-screened data to a cloud end through a cloud-edge communication module based on a 5G communication protocol;
In the data transmission link, multiple security authentication, such as encryption, authentication and other security means are adopted to ensure confidentiality and integrity of data in the transmission process, and advanced protection means are adopted to prevent the data from unauthorized access, tampering or interception in the transmission process and ensure the security of the data;
step 4, realizing real-time monitoring of the acquired data through an intelligent monitoring module;
And 5, reasonably scheduling based on the charging state and the power Grid load condition of the electric automobile through a V2G (Vehicle-to-Grid) charging and discharging control module.
In the data receiving link, the credibility of the receiving end system is ensured, the identity of the system is verified, the transmitted data is correctly analyzed and processed, the credibility of the receiving end system is established, and the reliability of the whole data chain is further consolidated.
Example 4
The invention also provides an embodiment, which is an intelligent edge monitoring device for the charging pile of the electric automobile, comprising:
The data acquisition module is used for acquiring data of key power parameters and the running state of the charging pile by means of the sensor on the charging pile through the power state sensing module;
The key feature extraction module is used for pre-screening data, performing preliminary verification, pretreatment, cleaning and format conversion on the data quality through the edge calculation module, and performing preliminary analysis to extract key features from the original data;
the uploading module is used for uploading the pre-screened data to the cloud end through the cloud edge communication module based on the 5G communication protocol;
the monitoring module is used for realizing real-time monitoring of the acquired data through the intelligent monitoring module;
the scheduling module is used for reasonably scheduling the uploaded data based on the charging state and the power Grid load condition of the electric automobile through the V2G (Vehicle-to-Grid) charging and discharging control module.
The intelligent edge monitoring device for the electric automobile charging pile is used for realizing the steps of the intelligent edge monitoring method for the electric automobile charging pile in embodiment 3.
Example 5
Based on the same inventive concept, the embodiment of the invention also provides a computer device, which comprises a storage medium, a processor and a computer program stored on the storage medium and capable of running on the processor. The steps of the intelligent edge monitoring method for the electric automobile charging pile described in the embodiment 3 are realized when the processor executes the computer program.
Example 6
Based on the same inventive concept, the embodiment of the invention also provides a computer storage medium, wherein a computer program is stored on the computer storage medium, and the computer program realizes the steps of the intelligent edge monitoring method for the electric automobile charging pile in the embodiment 3 when being executed by a processor.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, and any modifications and equivalents are intended to be included within the scope of the invention.
Claims (10)
1. Electric automobile fills electric pile intelligent edge monitoring device, characterized by: comprising the following steps: the device comprises a sensor interface circuit, an A/D converter, a data storage circuit, an edge computer, a communication circuit, an intelligent monitoring circuit and a V2G charge-discharge control circuit; the output end of the sensor interface circuit is connected with the A/D converter, the output end of the A/D converter is connected with the data storage circuit, the input end of the data storage circuit is connected with the edge computer, the output end of the edge computer is connected with the communication circuit, the input end of the communication circuit is connected with the intelligent monitoring circuit, and the output end of the intelligent monitoring circuit is connected with the V2G charge-discharge control circuit through the digital interface.
2. The intelligent edge monitoring device for the electric automobile charging pile according to claim 1, wherein: the intelligent monitoring system comprises a power state sensing module, an edge computing module, a cloud edge communication module, an intelligent monitoring module and a V2G charge-discharge control module; the power state sensing module is connected with the edge computing module; the edge computing module is connected with the cloud edge communication module; the cloud side communication module is connected with the cloud side and the intelligent monitoring module respectively; the intelligent monitoring module is connected with the V2G charge-discharge control module; and the V2G charging and discharging control module controls the charging pile of the charging station.
3. The intelligent edge monitoring device for the electric automobile charging pile according to claim 2, characterized in that: the power state sensing module includes: a current detection and acquisition unit; a voltage detection and acquisition unit; a temperature detection and acquisition unit; a humidity detection and acquisition unit; a motion state detection and acquisition unit; the units are in parallel relation; the current detection and acquisition unit is used for acquiring and reading current signals; the voltage detection and acquisition unit is used for acquiring and reading voltage signals; the temperature detection and acquisition unit is used for acquiring and reading temperature signals; the humidity detection and acquisition unit is used for acquiring and reading humidity signals; the motion state detection and acquisition unit is used for reading the motion state of the electric automobile;
The edge calculation module includes: a multi-source data discrimination unit; a real-time analysis and decision unit; a security and privacy protection unit; a data storage unit; a remote management and monitoring unit; an error processing and logging unit; the multi-source data distinguishing unit is used for distinguishing and integrating data from the multi-file data source and processing and classifying the data; the real-time analysis and decision unit is used for analyzing and processing the real-time data; the security and privacy protection unit is used for protecting the security and privacy of the data; the data storage unit is used for storing data and providing a lasting storage and management function of the data; the error processing and log unit is used for processing errors and abnormal conditions in the running process of the system, recording log information and performing error diagnosis and processing;
The cloud edge communication module comprises: a data transmission unit; drives and protocols for wireless communication technology; a communication protocol processing unit; a data security and privacy unit; a remote command and control unit; an error processing and logging unit; the data transmission unit is used for transmitting data; drivers and protocols for wireless communication technologies are used to provide the hardware and software support required for wireless communication; the communication protocol processing unit is used for processing a protocol used in a communication process; the data security and privacy unit is used for providing an encryption security function of the data; the remote command and control unit is used for allowing a command or a control instruction to be sent in a remote mode; the error processing and logging unit is used for monitoring and processing errors in the communication process, logging and providing diagnostic information to help identify and solve communication or system problems;
the intelligent monitoring module includes: a charging pile management unit; a real-time monitoring unit; a data evaluation and status dividing unit; a user interface unit; an alarm unit; a history data storage unit; the charging pile management unit is used for displaying detailed information of each charging pile; the real-time monitoring unit is used for monitoring the real-time states of the electric automobile and the charging pile; the data evaluation and state division unit is used for grading the SOC of the electric automobile; the user interface unit is used for being connected with the front end and carrying out information interaction with a user; the alarm unit is used for giving an alarm when the charging pile has a fault problem; the historical data storage unit is used for storing effective data within 30 days;
The V2G charge-discharge control module comprises: a charging control unit; a discharge control unit; charging protocols and communication protocols; an energy management unit; a grid interconnection gateway; the charging control unit and the discharging control unit are used for controlling the charging and discharging of the charging pile; the charging protocol and the communication protocol are used for defining rules and standards for communication and data exchange between different devices; the power grid interconnection gateway is used for monitoring the power grid state and managing the electric energy flow.
4. The intelligent edge monitoring device for the electric automobile charging pile according to claim 2, characterized in that: the power state sensing module is used for sensing the states of surrounding environment and the charging pile to provide real-time and accurate key data in the charging process of the electric automobile, and comprises the following steps:
(1) The analog signals of current, voltage, temperature and humidity and the motion state signals of the electric automobile are collected through the sensor, and the analog signals are converted into corresponding digital signals through an analog-to-digital conversion process;
(2) Recording the power state data obtained by real-time monitoring by using recording equipment;
The edge computing module is used for performing real-time data processing on an edge side and transferring computing tasks from a cloud to the vicinity of equipment, and comprises the following steps:
(1) The edge equipment is connected to the edge computing node through a network, and data are acquired from peripheral sensors or equipment;
(2) Performing real-time data processing on edge equipment or edge nodes;
(3) Integrating data transmitted by a plurality of edge devices to obtain more comprehensive information;
the cloud side communication module is used for realizing efficient and reliable data transmission and communication between devices and between the devices and the cloud side, and comprises the following components:
(1) The edge equipment is connected to a cloud server through a 5G internet to construct an HTTP request;
(2) The edge device sends an HTTP request to the cloud end through the established connection, and the cloud end processes the HTTP request after receiving the request to construct an HTTP response;
(3) The cloud transmits the constructed HTTP response back to the edge equipment through the network, and the edge equipment processes the HTTP response according to the content of the HTTP response;
The intelligent monitoring module is used for managing the electric automobile fills electric pile, shows the detailed information of every fills electric pile to show the data that fills electric pile's state and sensor gathered, evaluate the data, divide electric automobile state grade, include:
(1) Monitoring the health of the battery;
(2) Monitoring the charging rate and the efficiency;
(3) Monitoring the temperature of the battery in the charging process;
(4) According to the monitoring result, dividing the state grade of the electric automobile, comprising: full power, normal power, low power and insufficient power.
5. The intelligent edge monitoring device for the electric automobile charging pile according to claim 3, wherein: the multisource data analysis unit is used for realizing the omnibearing data visual angle monitoring of the charging pile system by integrating the multisystem information from the side end, and comprises the following components:
(1) Integrating the multi-source information of the charging states of the electric vehicles collected by the sensor;
(2) Carrying out feature extraction and selection on the data, identifying and extracting important data features, and reducing the dimension of the data;
(3) Detecting and correcting the abnormal data in real time, detecting abnormal data values by using an IF algorithm, and correcting the data by using a cubic spline interpolation method.
6. The intelligent edge monitoring device for the electric automobile charging pile according to claim 5, wherein: the detecting of the data outlier using the IF algorithm includes:
step 3.1, randomly selecting a plurality of characteristic values from the data acquisition to construct a characteristic space;
step 3.2, randomly dividing characteristic values in an extremum range, and constructing an isolation tree to form an isolation forest;
step 3.3, calculating the score of the abnormal point, wherein the greater the abnormal value is compared with the normal data, the higher the score of the abnormal value is; the abnormal data is corrected by using a cubic spline interpolation method for the abnormal data, and the abnormal data is shown as the following formula:
；
In the above-mentioned method, the step of, ，，，The coefficient is calculated by interpolation points, x is an independent variable, and x i is a point in an independent variable interval.
7. An intelligent edge monitoring method for an electric automobile charging pile is characterized by comprising the following steps of: the method comprises the following steps:
Step 1, data acquisition is carried out on key electric power parameters and the running state of the charging pile by a sensor on the charging pile through a power state sensing module;
Step 2, data pre-screening, performing preliminary analysis on data quality through an edge calculation module, and extracting key features;
step 3, uploading the pre-screened data to a cloud end through a cloud-edge communication module based on a 5G communication protocol;
step 4, realizing real-time monitoring of the acquired data through an intelligent monitoring module;
and 5, dispatching the uploaded data based on the charging state of the electric automobile and the load condition of the power grid through a V2G charging and discharging control module.
8. The intelligent edge monitoring device for the electric automobile charging pile according to claim 1, wherein: comprising the following steps:
The data acquisition module is used for acquiring data of key power parameters and the running state of the charging pile by means of the sensor on the charging pile through the power state sensing module;
The key feature extraction module is used for pre-screening data, performing preliminary analysis on the data quality through the edge calculation module, and extracting key features;
the uploading module is used for uploading the pre-screened data to the cloud end through the cloud edge communication module based on the 5G communication protocol;
the monitoring module is used for realizing real-time monitoring of the acquired data through the intelligent monitoring module;
the scheduling module is used for scheduling the uploaded data based on the charging state of the electric automobile and the power grid load condition through the V2G charging and discharging control module;
The monitoring device is used for realizing the steps of the intelligent edge monitoring method for the electric automobile charging pile according to claim 7.
9. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor implements the steps of an intelligent edge monitoring method for electric vehicle charging piles of claim 7 when the computer program is executed by the processor.
10. A computer storage medium, characterized by: the computer storage medium is stored with a computer program, and the computer program when executed by a processor realizes the steps of the intelligent edge monitoring method for the electric automobile charging pile as claimed in claim 7.
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