CN108924248B - Charging pile operation state management method based on artificial intelligence - Google Patents
Charging pile operation state management method based on artificial intelligence Download PDFInfo
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Abstract
The invention relates to a charging pile running state management method based on artificial intelligence. The invention can effectively meet the requirement of centralized management operation of various charging piles of different types, has high operation flexibility and reliability, can effectively improve the efficiency, convenience and flexibility of remote charging operation management work of the charging piles, has good operation data communication capacity and high operation automation and intelligent degree, can effectively improve the reliability of supervision operation and greatly reduce the labor intensity and cost of management operation, can effectively and comprehensively monitor the operation state of a charging state in time, and effectively avoids the defects of faulty operation and the like of the charging piles while remotely supervising the charging piles, thereby greatly improving the reliability and safety of the operation of the charging pile equipment.
Description
Technical Field
The invention relates to a charging pile running state management method based on artificial intelligence, and belongs to the technical field of charging piles.
Background
At present, along with the popularization and the promotion of equipment such as electric automobiles and the like, charging piles are widely applied and popularized in order to meet the use requirements, but in the practical use, the current charging pile equipment application management process needs to use a large number of charging pile equipment on one hand, and on the other hand, each charging pile needs to be distributed in a very wide area to operate on the other hand, the current charging piles can meet the use requirements to a certain extent in the operation and management processes by adopting the traditional manual field management and the traditional plug-in type charging operation, but the operation management operation efficiency of the charging pile equipment is low, the labor intensity is high, the cost is high, on the other hand, the accuracy and the timeliness of the charging pile information acquisition are poor, and the charging piles need to queue up users at the charging pile positions for a long time due to inaccurate judgment of the charging pile information, therefore, serious influence is caused on the operation efficiency of the charging pile equipment and the convenience and flexibility of the use of a user, and meanwhile, the charging state operation fault cannot be timely and effectively found and discharged due to information communication compensation, so that the operation stability of the charging pile is influenced, and meanwhile, great potential safety hazards are caused.
Disclosure of Invention
In order to overcome some defects in the prior art, the invention provides a charging pile running state management method based on artificial intelligence.
In order to achieve the above-mentioned effect, an artificial intelligence-based charging pile operation state management method is provided, which includes the following steps:
a charging pile running state management method based on artificial intelligence is disclosed, and comprises the following steps:
firstly, assembling equipment, namely taking at least one data processing server based on a cloud computing platform as a remote supervision platform according to use requirements, then respectively adding a network communication mechanism and a data acquisition mechanism for each charging pile equipment to be managed, electrically connecting the network communication mechanism and the data acquisition mechanism with a driving circuit of the charging pile equipment respectively, embedding the data acquisition mechanism on the outer surface of the charging pile, electrically connecting the network communication mechanisms with each other, and finally constructing a supervision service communication network between the network communication mechanisms of the charging piles and the remote supervision platform through an Internet of things communication network, wherein the network communication mechanisms of the charging piles are connected in parallel;
secondly, communication addresses are distributed, after the first step of operation is completed, unified data communication addresses and data communication protocols are distributed for all the cloud computing platform-based data processing servers accessed into a monitoring service communication network and the network communication mechanisms on the charging piles through a remote monitoring platform, then the distributed data communication addresses and data communication protocols are stored in the cloud computing platform-based data processing servers of the remote monitoring platform, and meanwhile, the corresponding data communication addresses and data communication protocols are sent to the network communication mechanisms on the charging piles by the remote monitoring platform and are stored in a data acquisition mechanism;
thirdly, a data acquisition strategy is compiled, after the second step of operation is completed, the specific data acquisition content, data format, data acquisition frequency, a charging pile data abnormity alarm program, a charging pile data abnormity emergency interruption management program and a charging pile normal starting, shutdown and standby program of the charging pile supervisory operation are set by the remote supervisory platform through a data processing server based on the cloud computing platform, and the compiled specific data acquisition content, data format, data acquisition frequency, a charging pile data abnormity alarm program, a charging pile data abnormity emergency interruption management program and a charging pile normal starting, shutdown and standby program are respectively sent to a corresponding charging pile data acquisition mechanism for backup;
fourthly, acquiring information of the charging piles, after the third step of operation is completed, positioning the operating state data of the charging piles by the charging piles through a data acquisition mechanism according to the data acquisition strategy content appointed by the third step, then sending the acquired data to a cloud computing platform-based data processing server of a remote supervision platform through a network communication mechanism for processing, storing the data on one hand after the data are processed by the cloud computing platform-based data processing server, remotely controlling the operating state of the charging piles according to the detected data on the other hand, and remotely closing the charging piles and giving an alarm when the operating data of the charging piles are abnormal;
fifthly, expanding a system, wherein in the process of acquiring information of the charging pile, brand-new charging pile equipment which is installed by a network communication mechanism and a data acquisition mechanism can be directly accessed to a communication network for establishing a supervision service through the network communication mechanism, and then returning to the second step to set the newly accessed charging pile;
and sixthly, updating the system, namely firstly, modifying and adjusting a data acquisition strategy used by the current operation of the remote supervision platform according to the previously acquired charging pile operation data through a data processing server based on the cloud computing platform, generating an upgrading program package, then sending the upgrading program package to a data acquisition mechanism of the charging pile when the charging pile is in a standby state, and replacing the original data acquisition strategy, thereby completing the updating of the system.
Further, in the first step, the data processing server based on the cloud computing platform is additionally provided with a third-party payment platform sub-server, a third-party map navigation sub-server, a client identity identification sub-server, a communication protocol management sub-server and a relay server.
Furthermore, the network communication mechanism is based on any one or more of a WIFI module, a Zigbee module, an RFID radio frequency module and a 3G/4G wireless communication module.
Furthermore, the data acquisition mechanism comprises a bearing rack, a current detection device, a voltage detection device, an electric leakage detection device, a temperature sensor, a tension sensor and a control circuit, wherein the bearing rack is of a frame structure, is coated on the outer surface of the charging pile and is mutually connected with the outer surface of the charging pile in a sliding way through a sliding rail, the current detection device, the voltage detection device, the electric leakage detection device and the control circuit are all arranged on the bearing rack, the current detection device, the voltage detection device and the electric leakage detection device are all a plurality of, one current detection device, one voltage detection device, one electric leakage detection device and one temperature sensor form a working group, the current detection device, the voltage detection device and the electric leakage detection device in the same working group are mutually connected in parallel, at least three working groups are provided, and at least one working group is electrically connected with a bus of the charging pile, the charging system comprises at least one working group, at least one charging terminal, at least one tension sensor, a control circuit and a charging pile device, wherein the at least one working group is electrically connected with a charging circuit of the charging pile, the at least one working group is electrically connected with the charging terminal of the charging pile, the number of the tension sensors is consistent with the number of charging joints of the charging pile, the tension sensors are positioned at the connecting position of the charging joints of the charging pile and a wire, each charging joint of the charging pile is provided with at least one tension sensor, and the control circuit is electrically connected with a current detection device, a voltage detection device, an electric leakage detection device, a temperature sensor, a tension sensor, a network communication mechanism and a driving circuit of the charging pile device.
Further, the control circuit comprises a data processing system, a data communication bus module, a crystal oscillator module, a coding and decoding module, a driving module, an internet of things controller, a human-computer interaction interface, a data cache module, a data storage module and a serial port data communication port module, wherein the data processing system is electrically connected with the data communication bus module through the data cache module, the data communication bus module is respectively and electrically connected with the crystal oscillator module, the coding and decoding module, the driving module, the internet of things controller, the data storage module and the serial port data communication port module through the data cache module, the driving module and the internet of things controller are respectively and electrically connected with the human-computer interaction interface, and the serial port data communication port module is electrically connected with a network communication mechanism and a driving circuit of the charging pile device.
Furthermore, the data processing system is a logic operation circuit based on the common use of any one or more of a DSP singlechip module, an IGBT module and a programmable controller.
Furthermore, the human-computer interaction interface is any one or more of a display, a keyboard, a microphone, a mouse and an action tracking camera.
Furthermore, the identity information acquisition mechanism comprises any one or more of a face recognition mechanism, a fingerprint recognition mechanism and a magnetic card recognition mechanism.
Furthermore, in the second step, when communication addresses are allocated, independent data storage spaces are respectively set up in the data processing server based on the cloud computing platform according to the communication addresses of the charging piles.
Furthermore, in the third step, the data acquisition frequency is that the time interval between two data acquisition is 1-60 minutes.
The system has the advantages of simple structure, high operation automation degree, strong data processing capability, good system expansion capability and good universality, can effectively meet the requirement of centralized management operation of various charging piles of different types, and has high operation flexibility and reliability, and can effectively improve the efficiency, convenience and flexibility of remote charging operation management work of the charging piles.
Drawings
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a schematic structural diagram of a data acquisition mechanism.
Fig. 3 is a schematic diagram of a control circuit structure.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
The charging pile running state management method based on artificial intelligence shown in fig. 1 includes the following steps:
firstly, assembling equipment, namely taking at least one data processing server based on a cloud computing platform as a remote supervision platform according to use requirements, then respectively adding a network communication mechanism and a data acquisition mechanism for each charging pile equipment to be managed, electrically connecting the network communication mechanism and the data acquisition mechanism with a driving circuit of the charging pile equipment respectively, embedding the data acquisition mechanism on the outer surface of the charging pile, electrically connecting the network communication mechanisms with each other, and finally constructing a supervision service communication network between the network communication mechanisms of the charging piles and the remote supervision platform through an Internet of things communication network, wherein the network communication mechanisms of the charging piles are connected in parallel;
secondly, communication addresses are distributed, after the first step of operation is completed, unified data communication addresses and data communication protocols are distributed for all the cloud computing platform-based data processing servers accessed into a monitoring service communication network and the network communication mechanisms on the charging piles through a remote monitoring platform, then the distributed data communication addresses and data communication protocols are stored in the cloud computing platform-based data processing servers of the remote monitoring platform, and meanwhile, the corresponding data communication addresses and data communication protocols are sent to the network communication mechanisms on the charging piles by the remote monitoring platform and are stored in a data acquisition mechanism;
thirdly, a data acquisition strategy is compiled, after the second step of operation is completed, the specific data acquisition content, data format, data acquisition frequency, a charging pile data abnormity alarm program, a charging pile data abnormity emergency interruption management program and a charging pile normal starting, shutdown and standby program of the charging pile supervisory operation are set by the remote supervisory platform through a data processing server based on the cloud computing platform, and the compiled specific data acquisition content, data format, data acquisition frequency, a charging pile data abnormity alarm program, a charging pile data abnormity emergency interruption management program and a charging pile normal starting, shutdown and standby program are respectively sent to a corresponding charging pile data acquisition mechanism for backup;
fourthly, acquiring information of the charging piles, after the third step of operation is completed, positioning the operating state data of the charging piles by the charging piles through a data acquisition mechanism according to the data acquisition strategy content appointed by the third step, then sending the acquired data to a cloud computing platform-based data processing server of a remote supervision platform through a network communication mechanism for processing, storing the data on one hand after the data are processed by the cloud computing platform-based data processing server, remotely controlling the operating state of the charging piles according to the detected data on the other hand, and remotely closing the charging piles and giving an alarm when the operating data of the charging piles are abnormal;
fifthly, expanding a system, wherein in the process of acquiring information of the charging pile, brand-new charging pile equipment which is installed by a network communication mechanism and a data acquisition mechanism can be directly accessed to a communication network for establishing a supervision service through the network communication mechanism, and then returning to the second step to set the newly accessed charging pile;
and sixthly, updating the system, namely firstly, modifying and adjusting a data acquisition strategy used by the current operation of the remote supervision platform according to the previously acquired charging pile operation data through a data processing server based on the cloud computing platform, generating an upgrading program package, then sending the upgrading program package to a data acquisition mechanism of the charging pile when the charging pile is in a standby state, and replacing the original data acquisition strategy, thereby completing the updating of the system.
In this embodiment, the data processing server based on the cloud computing platform in the first step is additionally provided with a third party payment platform sub-server, a third party map navigation sub-server, a client identity sub-server, a communication protocol management sub-server and a relay server.
In this embodiment, the network communication mechanism is based on any one or more of a WIFI module, a Zigbee module, an RFID radio frequency module, and a 3G/4G wireless communication module.
As shown in fig. 2, the data acquisition mechanism includes a carrier frame 1, a current detection device 2, a voltage detection device 3, an electric leakage detection device 4, a temperature sensor 5, a tension sensor 6 and a control circuit 7, wherein the carrier frame 1 is a frame structure, covers the outer surface of the charging pile 9 and is mutually connected with the outer surface of the charging pile 9 in a sliding manner through a sliding rail, the current detection device 2, the voltage detection device 3, the electric leakage detection device 4 and the control circuit 7 are all installed on the carrier frame 1, wherein the current detection device 2, the voltage detection device 3 and the electric leakage detection device 4 are all provided with a plurality of current detection devices 2, a voltage detection device 3, an electric leakage detection device 4 and a temperature sensor 5 to form a working group, and the current detection device, the voltage detection device and the electric leakage detection device in the same working group are mutually connected in parallel, the electric charging pile is characterized by comprising at least three working groups, wherein at least one working group is electrically connected with a bus of a charging pile 9, at least one working group is electrically connected with a charging circuit of the charging pile 9, another at least one working group is electrically connected with a charging terminal of the charging pile 9, the quantity of the tension sensors 6 is consistent with that of the charging joints of the charging pile 9, the tension sensors are positioned at the connecting positions of the charging joints of the charging pile 9 and a wire, each charging joint of the charging pile 9 is provided with at least one tension sensor 6, and the control circuit 7 is electrically connected with a current detection device 2, a voltage detection device 3, an electric leakage detection device 4, a temperature sensor 5, a tension sensor 6, a network communication mechanism and a driving circuit of the charging pile 9 respectively.
As shown in fig. 3, the control circuit includes a data processing system, a data communication bus module, a crystal oscillator module, a coding and decoding module, a driving module, an internet of things controller, a human-computer interaction interface, a data cache module, a data storage module, and a serial data communication port module, wherein the data processing system is electrically connected to the data communication bus module through the data cache module, the data communication bus module is electrically connected to the crystal oscillator module, the coding and decoding module, the driving module, the internet of things controller, the data storage module, and the serial data communication port module, the driving module and the internet of things controller are electrically connected to the human-computer interaction interface through the data cache module, and the serial data communication port module is electrically connected to the network communication mechanism and the driving circuit of the charging pile device.
In this embodiment, the data processing system is a logic operation circuit based on the common use of any one or more of a DSP single chip module, an IGBT module, and a programmable controller.
In this embodiment, the human-computer interface is shared by any one or more of a display, a keyboard, a microphone, a mouse, and an action tracking camera.
In this embodiment, the identity information acquisition mechanism includes any one or more of a face recognition mechanism, a fingerprint recognition mechanism, and a magnetic card recognition mechanism.
Furthermore, in the second step, when communication addresses are allocated, independent data storage spaces are respectively set up in the data processing server based on the cloud computing platform according to the communication addresses of the charging piles.
In this embodiment, in the third step, the data acquisition frequency is that the time interval between two data acquisitions is 1 to 60 minutes.
The system has the advantages of simple structure, high operation automation degree, strong data processing capability, good system expansion capability and good universality, can effectively meet the requirement of centralized management operation of various charging piles of different types, and has high operation flexibility and reliability, and can effectively improve the efficiency, convenience and flexibility of remote charging operation management work of the charging piles.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. A charging pile running state management method based on artificial intelligence is characterized by comprising the following steps: the charging pile running state management method based on the Internet of things artificial intelligence comprises the following steps:
firstly, assembling equipment, namely taking at least one data processing server based on a cloud computing platform as a remote supervision platform according to use requirements, then respectively adding a network communication mechanism and a data acquisition mechanism for each charging pile equipment to be managed, electrically connecting the network communication mechanism and the data acquisition mechanism with a driving circuit of the charging pile equipment respectively, embedding the data acquisition mechanism on the outer surface of the charging pile, electrically connecting the network communication mechanisms with each other, and finally constructing a supervision service communication network between the network communication mechanisms of the charging piles and the remote supervision platform through an Internet of things communication network, wherein the network communication mechanisms of the charging piles are connected in parallel;
secondly, communication addresses are distributed, after the first step of operation is completed, unified data communication addresses and data communication protocols are distributed for all the cloud computing platform-based data processing servers accessed into a monitoring service communication network and the network communication mechanisms on the charging piles through a remote monitoring platform, then the distributed data communication addresses and data communication protocols are stored in the cloud computing platform-based data processing servers of the remote monitoring platform, and meanwhile, the corresponding data communication addresses and data communication protocols are sent to the network communication mechanisms on the charging piles by the remote monitoring platform and are stored in a data acquisition mechanism;
thirdly, a data acquisition strategy is compiled, after the second step of operation is completed, the specific data acquisition content, data format, data acquisition frequency, a charging pile data abnormity alarm program, a charging pile data abnormity emergency interruption management program and a charging pile normal starting, shutdown and standby program of the charging pile supervisory operation are set by the remote supervisory platform through a data processing server based on the cloud computing platform, and the compiled specific data acquisition content, data format, data acquisition frequency, a charging pile data abnormity alarm program, a charging pile data abnormity emergency interruption management program and a charging pile normal starting, shutdown and standby program are respectively sent to a corresponding charging pile data acquisition mechanism for backup;
fourthly, acquiring information of the charging piles, after the third step of operation is completed, positioning the operating state data of the charging piles by the charging piles through a data acquisition mechanism according to the data acquisition strategy content appointed by the third step, then sending the acquired data to a cloud computing platform-based data processing server of a remote supervision platform through a network communication mechanism for processing, storing the data on one hand after the data are processed by the cloud computing platform-based data processing server, remotely controlling the operating state of the charging piles according to the detected data on the other hand, and remotely closing the charging piles and giving an alarm when the operating data of the charging piles are abnormal;
fifthly, expanding a system, wherein in the process of acquiring information of the charging pile, brand-new charging pile equipment which is installed by a network communication mechanism and a data acquisition mechanism can be directly accessed to a communication network for establishing a supervision service through the network communication mechanism, and then returning to the second step to set the newly accessed charging pile;
sixthly, updating the system, namely firstly, modifying and adjusting a data acquisition strategy currently used by the remote supervision platform according to the previously acquired charging pile operation data through a data processing server based on a cloud computing platform to generate an upgrading program package, then sending the upgrading program package to a data acquisition mechanism of the charging pile when the charging pile is in a standby state, and replacing an original data acquisition strategy to complete the updating of the system, wherein the data acquisition mechanism comprises a bearing rack, a current detection device, a voltage detection device, an electric leakage detection device, a temperature sensor, a tension sensor and a control circuit, the bearing rack is of a frame structure and is coated on the outer surface of the charging pile and mutually connected with the outer surface of the charging pile in a sliding manner through a sliding rail, and the current detection device, the voltage detection device, the tension sensor and the control circuit are connected with each other in a sliding manner through sliding rails, The electric leakage detection device and the control circuit are all arranged on the bearing rack, wherein the current detection device, the voltage detection device and the electric leakage detection device are all provided with a plurality of devices, one current detection device, one voltage detection device, one electric leakage detection device and one temperature sensor form a working group, the current detection device, the voltage detection device and the electric leakage detection device in the same working group are connected in parallel, the number of the working groups is at least three, at least one working group is electrically connected with a bus of the charging pile, at least one working group is electrically connected with a charging circuit of the charging pile, the other at least one working group is electrically connected with a charging terminal of the charging pile, the number of the tension sensors is consistent with the number of the charging joints of the charging pile and is positioned at the connecting position of the charging joint of the charging pile and a lead, and each charging joint is provided with at least one tension sensor, the control circuit is electrically connected with the current detection device, the voltage detection device, the electric leakage detection device, the temperature sensor, the tension sensor, the network communication mechanism and the driving circuit of the charging pile equipment respectively.
2. The artificial intelligence-based charging pile operation state management method according to claim 1, characterized in that: in the first step, the data processing server based on the cloud computing platform is additionally provided with a third-party payment platform sub-server, a third-party map navigation sub-server, a client identity recognition sub-server, a communication protocol management sub-server and a relay server.
3. The artificial intelligence-based charging pile operation state management method according to claim 1, characterized in that: the network communication mechanism is based on any one or more of a WIFI module, a Zigbee module, an RFID radio frequency module and a 3G/4G wireless communication module.
4. The artificial intelligence-based charging pile operation state management method according to claim 3, characterized in that: the control circuit comprises a data processing system, a data communication bus module, a crystal oscillator module, an encoding and decoding module, a driving module, an internet of things controller, a man-machine interaction interface, a data cache module, a data storage module and a serial port data communication port module, wherein the data processing system is electrically connected with the data communication bus module through the data cache module, the data communication bus module is respectively and electrically connected with the crystal oscillator module, the encoding and decoding module, the driving module, the internet of things controller, the data storage module and the serial port data communication port module through the data cache module, the driving module and the internet of things controller are respectively and electrically connected with the man-machine interaction interface, and the serial port data communication port module is electrically connected with a network communication mechanism and a driving circuit of the charging pile device.
5. The artificial intelligence-based charging pile operation state management method according to claim 2, characterized in that: the data processing system is a logic operation circuit based on the common use of any one or more of a DSP singlechip module, an IGBT module and a programmable controller.
6. The artificial intelligence-based charging pile operation state management method according to claim 4, wherein: the human-computer interaction interface is any one or more of a display, a keyboard, a microphone, a mouse and an action tracking camera.
7. The artificial intelligence-based charging pile operation state management method according to claim 2, characterized in that: the identity information acquisition mechanism comprises any one or more of a face recognition mechanism, a fingerprint recognition mechanism and a magnetic card recognition mechanism.
8. The artificial intelligence-based charging pile operation state management method according to claim 1, characterized in that: and in the second step, when communication addresses are distributed, independent data storage spaces are respectively set in a data processing server based on a cloud computing platform according to the communication addresses of the charging piles.
9. The artificial intelligence-based charging pile operation state management method according to claim 1, characterized in that: in the third step, the data acquisition frequency is that the time interval between two data acquisition is 1-60 minutes.
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