CN117124913A - Charging monitoring system based on cloud computing big data - Google Patents

Charging monitoring system based on cloud computing big data Download PDF

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Publication number
CN117124913A
CN117124913A CN202211598310.9A CN202211598310A CN117124913A CN 117124913 A CN117124913 A CN 117124913A CN 202211598310 A CN202211598310 A CN 202211598310A CN 117124913 A CN117124913 A CN 117124913A
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data
monitoring
vehicle
charging
module
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张航
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Individual
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Priority to CN202211598310.9A priority Critical patent/CN117124913A/en
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/66—Data transfer between charging stations and vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/10—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles characterised by the energy transfer between the charging station and the vehicle
    • B60L53/12—Inductive energy transfer
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/68—Off-site monitoring or control, e.g. remote control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/06—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols the encryption apparatus using shift registers or memories for block-wise or stream coding, e.g. DES systems or RC4; Hash functions; Pseudorandom sequence generators
    • H04L9/0618—Block ciphers, i.e. encrypting groups of characters of a plain text message using fixed encryption transformation
    • H04L9/0625—Block ciphers, i.e. encrypting groups of characters of a plain text message using fixed encryption transformation with splitting of the data block into left and right halves, e.g. Feistel based algorithms, DES, FEAL, IDEA or KASUMI

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Power Engineering (AREA)
  • Computer Security & Cryptography (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention discloses a charging monitoring method based on cloud computing big data, which comprises the following steps: step one: the vehicle-mounted terminal based on the electric automobile is connected with the public platform and the enterprise platform through a passing protocol, and the whole monitoring system platform is built; step two: according to the hardware design in the charging process, a ground end monitoring system is formed based on the total monitoring board and the five sub-monitoring nodes; step three: the vehicle-mounted monitoring board is used as a data interaction center node to monitor key parameters of the wireless charging system; step four: each parameter is arranged and packaged into data frames according to sequence by adopting hexadecimal data protocol format, encryption transmission is carried out through DES algorithm, and each data frame contains all vehicle-mounted charging data at the moment; step five: the invention has the characteristics of integrating the monitoring data and fault diagnosis analysis.

Description

Charging monitoring system based on cloud computing big data
Technical Field
The invention relates to the technical field of charging monitoring, in particular to a charging monitoring system based on cloud computing big data.
Background
The dynamic wireless charging technology is that an electric automobile is charged through a charging guide rail in a non-contact mode in a running process of the automobile, and the problem of the existing electric automobile wireless charging information monitoring system is that monitoring parameters are different between static wireless charging and dynamic wireless power supply data of the electric automobile, the dynamic wireless power supply needs to be changed to supply power to different guide rails, the speed of the automobile has a certain influence on the dynamic wireless power supply data, so that the data of the electric automobile and the dynamic wireless power supply data cannot be effectively and uniformly managed, charging tariffs are uniformly calculated and are dynamically changed in the charging process, tariffs are required to be charged in a reasonable mode, analysis by different end users is not facilitated, and the unified management charging by operators is also facilitated.
Disclosure of Invention
The invention aims to provide a charging monitoring system based on cloud computing big data, which aims to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a charging monitoring method based on cloud computing big data is characterized by comprising the following steps of: the method comprises the following steps:
step one: the vehicle-mounted terminal based on the electric automobile is connected with the public platform and the enterprise platform through a passing protocol, and the whole monitoring system platform is built;
step two: according to the hardware design in the charging process, a ground end monitoring system is formed based on the total monitoring board and the five sub-monitoring nodes;
step three: the vehicle-mounted monitoring board is used as a data interaction center node to monitor key parameters of the wireless charging system;
step four: each parameter is arranged and packaged into data frames according to sequence by adopting hexadecimal data protocol format, encryption transmission is carried out through DES algorithm, and each data frame contains all vehicle-mounted charging data at the moment;
step five: the monitoring data is written into the database for storage and viewing through data analysis and data processing.
According to the above technical scheme, the step of constructing the whole monitoring system platform includes:
the vehicle-mounted terminal of the electric automobile is connected to the enterprise platform;
communicating with each other and providing real-time monitoring parameters;
communicating the non-secret-related data with a public platform;
and the public platform performs unified storage management on the collected data.
According to the above technical scheme, the step of forming the ground end monitoring system comprises the following steps:
based on a master monitoring board serving as a data interaction center node, local networking is carried out with the sub monitoring board nodes through a CAN bus, so that summarization and overall control of monitoring data information are realized;
performing data interaction with a cloud platform through a general wireless grouping service;
and carrying out data interaction with the public platform monitoring software through the data transmission radio station.
According to the above technical scheme, the step of implementing the monitoring of the key parameters of the wireless charging system includes:
controlling the running state of the vehicle-mounted power converter according to the power request of the vehicle controller to obtain necessary running data;
the key parameters of the wireless charging system are monitored by docking with the vehicle-mounted magnetic field detection, the vehicle-mounted insulating terminal, the vehicle-mounted temperature measurement system and the vehicle-mounted radar;
the data intercommunication and the tariff operation are realized through the general wireless packet service and the enterprise platform;
remote data transmission with the public platform monitoring software is realized through the general wireless packet service.
According to the above technical solution, the step of sequentially arranging and packaging each parameter into a data frame, and encrypting and transmitting the data frame by DES algorithm includes:
each monitored parameter data is arranged and packaged into a data frame in sequence, and the data frame is continuously sent to Bluetooth application in android at a higher baud rate;
and storing the received DES encrypted byte stream into a temporary array through a buffer area, and calling a DES decryption method to process information in the array so as to obtain hexadecimal charging monitoring data.
According to the above technical solution, the step of storing and checking includes:
the encrypted charging monitoring data flow to three terminals;
writing data into a database through data analysis and data processing;
and the user of the public platform terminal inquires various information data of wireless charging through the webpage.
According to the above technical solution, the system comprises:
the monitoring platform module is used for building a whole monitoring system platform based on the multi-terminal monitoring data of the electric automobile;
the charging monitoring system module is used for forming multi-structure data monitoring in the charging process of the electric automobile;
and the monitoring data processing module is used for processing and analyzing the collected monitoring data.
According to the above technical scheme, the monitoring platform module includes:
the vehicle-mounted terminal module is used for providing a monitoring data body in the wireless charging process based on the automobile;
the public platform module is used for communicating the non-secret-related data with the public platform to realize unified storage management of the collected data;
and the enterprise platform module is used for carrying out mutual communication through the vehicle-mounted terminal connected with the electric automobile and providing real-time monitoring parameters.
According to the above technical scheme, the charging monitoring system module includes:
the master monitoring board module is used for realizing information summarization and overall control as a data interaction center node;
the sub-monitoring node module is used as a data interaction relay node of the ground part of the wireless charging system to realize the summary and coordination of monitoring data information;
the key parameter monitoring module is used for monitoring key parameters of the wireless charging system through multi-structure butt joint in the charging process;
and the remote data transmission module is used for realizing remote data transmission with the public platform monitoring software through the general wireless packet service.
According to the above technical scheme, the monitoring data processing module includes:
the data protocol conversion module is used for carrying out data format conversion of multi-terminal monitoring data by adopting hexadecimal data protocol;
the data frame module is used for sequentially arranging and packaging each monitoring parameter into a data frame;
the encryption transmission module is used for encrypting the parameter data byte stream in the buffer area by using the DES;
and the storage checking module is used for writing the data into the database for storage checking through data analysis and data processing.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the monitoring platform module, the charging monitoring system module and the monitoring data processing module are arranged, the vehicle-mounted information and the ground guide rail information are integrated, wireless charging information data are sent to different terminals through a DES encryption technology, the data are stored in a database, the data in the database can be inquired through an information management website, the user terminal controls dynamic wireless charging through the vehicle-mounted system or controls static wireless charging of an automobile through a mobile phone app after parking, charging parameters are monitored and fault diagnosis is carried out, safety of personnel and vehicles in the wireless charging process is ensured, monitoring personnel and related users of operators can grasp all monitoring information of the charging vehicle and the ground guide rail in real time, and real-time monitoring and management of the data information in the wireless charging process of the electric automobile can be realized through positioning faults through data information of different structures.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a charging monitoring method based on cloud computing big data according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of module composition of a charging monitoring system based on cloud computing big data according to a second embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
fig. 1 is a flowchart of a charging monitoring method based on cloud computing big data, which is provided in an embodiment of the present invention, and the present embodiment may be applied to a scenario of wireless charging monitoring of an electric vehicle, where the method may be performed by a charging monitoring system based on cloud computing big data, as shown in fig. 1, and the method specifically includes the following steps:
step one: the vehicle-mounted terminal based on the electric automobile is connected with the public platform and the enterprise platform through a passing protocol, and the whole monitoring system platform is built;
in the embodiment of the invention, the vehicle-mounted terminal of the electric automobile is connected to the enterprise platform for mutual communication, real-time monitoring parameters are provided, complete monitoring data are provided for the enterprise platform, an operator remotely monitors vehicle information data through the enterprise platform, intercommunicates non-secret-related data with the public platform, the public platform performs unified storage management on the collected data, provides inquiry information for a public platform end user, and is oriented to software services of a driver based on a vehicle-mounted system, information management and interaction of the enterprise operator and software services of a public monitoring center.
Step two: according to the hardware design in the charging process, a ground end monitoring system is formed based on the total monitoring board and the five sub-monitoring nodes;
in the embodiment of the invention, the ground section monitoring system corresponds to five segmented guide rails, each of which comprises a total monitoring board of the ground section, is used as a data interaction center node of the ground part of the wireless charging system, performs local networking with a sub-monitoring board node through a CAN bus to realize information summarization and overall control, performs data interaction with a cloud platform through a general wireless packet service, performs data interaction with public platform monitoring software through a data transmission radio station, measures AC/DC voltage current data, and provides a power supply data basis for compatible direct current;
the ground sub-monitoring board is used as a data interaction relay node of the ground part of the wireless charging system, and the other sub-monitoring boards and the main monitoring board are subjected to local networking through a CAN bus to realize the overall control of information aggregation and cooperation, and the inversion source data corresponding to the information aggregation and the main monitoring board are independently controlled to form a control module aiming at the independent power of the charging wire in unit length; the digital bus is provided with a temperature measurement function and a radar function, and an independent power supply is provided for the digital bus; and the vehicle position detection and the vehicle identification are realized by matching with a radar receiving system through a vehicle-mounted radar.
Step three: the vehicle-mounted monitoring board is used as a data interaction center node to monitor key parameters of the wireless charging system;
in the embodiment of the invention, the running state of the vehicle-mounted power converter is controlled according to the power request of the whole vehicle controller, necessary running data is obtained, the vehicle-mounted power converter is communicated with the vehicle-mounted monitoring software, the visual display and control of the wireless charging system are realized, the monitoring of key parameters of the wireless charging system is realized through the butt joint with the vehicle-mounted magnetic field detection, the vehicle-mounted insulation terminal, the vehicle-mounted temperature measurement system and the vehicle-mounted radar, the data intercommunication and tariff operation are realized through the general wireless grouping service and the enterprise platform, and the remote data transmission with the public platform monitoring software is realized through the general wireless grouping service;
the vehicle-mounted magnetic field monitoring is responsible for monitoring magnetic induction data around a vehicle seat, the monitoring data are used for guaranteeing safety of personnel on the vehicle and carrying out data transmission communication with a vehicle-mounted monitoring board through an interface, the vehicle-mounted insulation monitoring is responsible for insulating data monitoring of key positions of hardware parts of a wireless charging system, the part of parameter data are used for sending out fault signals when potential safety hazards occur, the wireless charging system stops working and is communicated with a vehicle-mounted control board through a CAN bus, and the vehicle-mounted temperature monitoring is responsible for parameter monitoring of temperature data carried out on a resonance capacitor of a vehicle-mounted receiving end;
the method comprises the steps that after a wireless charging permission is started in a driving process, a vehicle-mounted end starts to transmit radar transmitting signals, a ground guide rail receives radar capturing signals and then starts an inversion source to conduct wireless charging, even if the guide rail is switched or a radar at a receiving end is disconnected, the vehicle-mounted radar is not turned off, after wireless charging is closed, the transmitting radar on an automobile is also turned off, even if the automobile runs on the wireless charging guide rail, wireless charging can not be conducted, when a battery is full or fails, a wireless charging function can be automatically disconnected, manual control is needed again by a user to start the wireless charging function, when the charging process fails, a prompt box can pop up to require the user to select whether to upload data, if the user selects to upload, software can send a request to a vehicle-mounted control board, the control board sends fault data information of the automobile to remote monitoring software through general wireless packet service, a professional analyzes and checks faults, driving safety is guaranteed, the user can select not upload fault information, and safety privacy of the user is protected.
Step four: each parameter is arranged and packaged into data frames according to sequence by adopting hexadecimal data protocol format, encryption transmission is carried out through DES algorithm, and each data frame contains all vehicle-mounted charging data at the moment;
in the embodiment of the invention, a data frame is continuously sent to a Bluetooth application in an android with a higher baud rate, a space with three times of frame length is selected as a buffer area, a read pointer is adopted to determine data frame information when the data frame enters the buffer area, pointer rollback is carried out when the requirements of frame head, frame tail or frame length are not met, an error byte is discarded, when the read pointer reads a complete big data frame, data is output to the next step flow through a write pointer until the read pointer and the write pointer coincide with each other and the buffer area is invalid, and the buffer area is reinitialized;
the received byte stream encrypted by the DES is stored in a temporary array through a buffer area, a DES decryption method is called to process information in the array to obtain hexadecimal charging data, a vehicle-mounted monitoring board converts the information coded according to a data format into decimal or state information through an algorithm, the data information is written into a log file to be stored before the information is analyzed and displayed, when the automobile is in fault and needs to repair or replace parts, the stored charging data information is subjected to grouping processing by taking log information data as reference materials, all parameters are extracted from the array, and the parameters are displayed on different human-computer interfaces for a driver or a researcher to check.
Step five: the monitoring data is written into the database by data analysis and data processing.
In the embodiment of the invention, the encrypted charging monitoring data flow to three terminals, namely a vehicle-mounted terminal, an enterprise platform and a public platform which are used as remote monitoring terminals, the data of the vehicle-mounted terminal receiving vehicle-mounted monitoring system are utilized, fault information generated according to the monitoring data is uploaded to a superior remote monitoring center and is used as a remote monitoring data center of the whole charging monitoring system, the data are responsible for receiving vehicle charging data, ground guide rail state data and vehicle fault information data, the data are written into a database through data analysis and data processing, a user at the public platform performs wireless charging data query on each item of information through a webpage, the data sent by the wireless charging monitoring system are not directly received, and information interaction is performed through the database.
Embodiment two:
the second embodiment of the present invention provides a charging monitoring system based on cloud computing big data, and fig. 2 is a schematic diagram of module composition of the charging monitoring system based on cloud computing big data provided in the second embodiment of the present invention, as shown in fig. 2, the system includes:
the monitoring platform module is used for building a whole monitoring system platform based on the multi-terminal monitoring data of the electric automobile;
the charging monitoring system module is used for forming multi-structure data monitoring in the charging process of the electric automobile;
the monitoring data processing module is used for processing and analyzing the collected monitoring data;
in some embodiments of the invention, the monitoring platform module comprises:
the vehicle-mounted terminal module is used for providing a monitoring data body in the wireless charging process based on the automobile;
the public platform module is used for communicating the non-secret-related data with the public platform to realize unified storage management of the collected data;
the enterprise platform module is used for carrying out mutual communication through connecting with the vehicle-mounted terminal of the electric automobile and providing real-time monitoring parameters;
in some embodiments of the invention, the charge monitoring architecture module comprises:
the master monitoring board module is used for realizing information summarization and overall control as a data interaction center node;
the sub-monitoring node module is used as a data interaction relay node of the ground part of the wireless charging system to realize the summary and coordination of monitoring data information;
the key parameter monitoring module is used for monitoring key parameters of the wireless charging system through multi-structure butt joint in the charging process;
and the remote data transmission module is used for realizing remote data transmission with the public platform monitoring software through the general wireless packet service.
In some embodiments of the invention, the monitoring data processing module comprises:
the data protocol conversion module is used for carrying out data format conversion of multi-terminal monitoring data by adopting hexadecimal data protocol;
the data frame module is used for sequentially arranging and packaging each monitoring parameter into a data frame;
the encryption transmission module is used for encrypting the parameter data byte stream in the buffer area by using the DES;
and the storage checking module is used for writing the data into the database for storage checking through data analysis and data processing.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A charging monitoring method based on cloud computing big data is characterized by comprising the following steps of: the method comprises the following steps:
step one: the vehicle-mounted terminal based on the electric automobile is connected with the public platform and the enterprise platform through a passing protocol, and the whole monitoring system platform is built;
step two: according to the hardware design in the charging process, a ground end monitoring system is formed based on the total monitoring board and the five sub-monitoring nodes;
step three: the vehicle-mounted monitoring board is used as a data interaction center node to monitor key parameters of the wireless charging system;
step four: each parameter is arranged and packaged into data frames according to sequence by adopting hexadecimal data protocol format, encryption transmission is carried out through DES algorithm, and each data frame contains all vehicle-mounted charging data at the moment;
step five: the monitoring data is written into the database for storage and viewing through data analysis and data processing.
2. The charge monitoring method based on cloud computing big data according to claim 1, wherein the charge monitoring method is characterized by comprising the following steps of: the step of constructing the whole monitoring system platform comprises the following steps:
the vehicle-mounted terminal of the electric automobile is connected to the enterprise platform;
communicating with each other and providing real-time monitoring parameters;
communicating the non-secret-related data with a public platform;
and the public platform performs unified storage management on the collected data.
3. The charge monitoring method based on cloud computing big data according to claim 1, wherein the charge monitoring method is characterized by comprising the following steps of: the step of forming the ground end monitoring system comprises the following steps:
based on a master monitoring board serving as a data interaction center node, local networking is carried out with the sub monitoring board nodes through a CAN bus, so that summarization and overall control of monitoring data information are realized;
performing data interaction with a cloud platform through a general wireless grouping service;
and carrying out data interaction with the public platform monitoring software through the data transmission radio station.
4. The charge monitoring method based on cloud computing big data according to claim 1, wherein the charge monitoring method is characterized by comprising the following steps of: the step for realizing the monitoring of the key parameters of the wireless charging system comprises the following steps:
controlling the running state of the vehicle-mounted power converter according to the power request of the vehicle controller to obtain necessary running data;
the key parameters of the wireless charging system are monitored by docking with the vehicle-mounted magnetic field detection, the vehicle-mounted insulating terminal, the vehicle-mounted temperature measurement system and the vehicle-mounted radar;
the data intercommunication and the tariff operation are realized through the general wireless packet service and the enterprise platform;
remote data transmission with the public platform monitoring software is realized through the general wireless packet service.
5. The charge monitoring method based on cloud computing big data according to claim 1, wherein the charge monitoring method is characterized by comprising the following steps of: the step of packing each parameter into data frames according to the sequence, encrypting and transmitting by the DES algorithm comprises the following steps:
each monitored parameter data is arranged and packaged into a data frame in sequence, and the data frame is continuously sent to Bluetooth application in android at a higher baud rate;
and storing the received DES encrypted byte stream into a temporary array through a buffer area, and calling a DES decryption method to process information in the array so as to obtain hexadecimal charging monitoring data.
6. The charge monitoring method based on cloud computing big data according to claim 1, wherein the charge monitoring method is characterized by comprising the following steps of: the step of storing and viewing comprises the following steps:
the encrypted charging monitoring data flow to three terminals;
writing data into a database through data analysis and data processing;
and the user of the public platform terminal inquires various information data of wireless charging through the webpage.
7. A charge monitoring system based on cloud computing big data is characterized in that: the system comprises:
the monitoring platform module is used for building a whole monitoring system platform based on the multi-terminal monitoring data of the electric automobile;
the charging monitoring system module is used for forming multi-structure data monitoring in the charging process of the electric automobile;
and the monitoring data processing module is used for processing and analyzing the collected monitoring data.
8. The cloud computing big data-based charging monitoring system of claim 7, wherein: the monitoring platform module comprises:
the vehicle-mounted terminal module is used for providing a monitoring data body in the wireless charging process based on the automobile;
the public platform module is used for communicating the non-secret-related data with the public platform to realize unified storage management of the collected data;
and the enterprise platform module is used for carrying out mutual communication through the vehicle-mounted terminal connected with the electric automobile and providing real-time monitoring parameters.
9. The cloud computing big data-based charging monitoring system of claim 8, wherein: the charging monitoring system module comprises:
the master monitoring board module is used for realizing information summarization and overall control as a data interaction center node;
the sub-monitoring node module is used as a data interaction relay node of the ground part of the wireless charging system to realize the summary and coordination of monitoring data information;
the key parameter monitoring module is used for monitoring key parameters of the wireless charging system through multi-structure butt joint in the charging process;
and the remote data transmission module is used for realizing remote data transmission with the public platform monitoring software through the general wireless packet service.
10. The cloud computing big data-based charging monitoring system of claim 9, wherein: the monitoring data processing module comprises:
the data protocol conversion module is used for carrying out data format conversion of multi-terminal monitoring data by adopting hexadecimal data protocol;
the data frame module is used for sequentially arranging and packaging each monitoring parameter into a data frame;
the encryption transmission module is used for encrypting the parameter data byte stream in the buffer area by using the DES;
and the storage checking module is used for writing the data into the database for storage checking through data analysis and data processing.
CN202211598310.9A 2022-12-12 2022-12-12 Charging monitoring system based on cloud computing big data Pending CN117124913A (en)

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Application Number Priority Date Filing Date Title
CN202211598310.9A CN117124913A (en) 2022-12-12 2022-12-12 Charging monitoring system based on cloud computing big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211598310.9A CN117124913A (en) 2022-12-12 2022-12-12 Charging monitoring system based on cloud computing big data

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